68 results on '"Peters KJ"'
Search Results
2. A piece of the puzzle: analyses of recent strandings and historical records reveal new genetic and ecological insights on New Zealand sperm whales
- Author
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Palmer, E, primary, Alexander, A, additional, Liggins, L, additional, Guerra, M, additional, Bury, SJ, additional, Hendriks, H, additional, Stockin, KA, additional, and Peters, KJ, additional
- Published
- 2022
- Full Text
- View/download PDF
3. Contributor contact details
- Author
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Wang, ML, Lynch, JP, Sohn, H, Todd, MD, Yoder, NC, Adams, DE, An, Y-K, Kim, MK, Peters, KJ, Inaudi, D, Meo, M, Huston, D, Busuioc, D, Wang, G, Ozevin, D, Loh, KJ, Ryu, D, Yu, T-Y, Poursaee, A, Ji, YF, Chang, CC, Myung, H, Jeon, H, Bang, Y-S, Wang, Y, Kane, MB, Peckens, CA, Zhang, Y, and Scruggs, JT
- Published
- 2014
4. Foraging ecology of the common dolphin Delphinus delphis revealed by stable isotope analysis
- Author
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Peters, KJ, primary, Bury, SJ, additional, Betty, EL, additional, Parra, GJ, additional, Tezanos-Pinto, G, additional, and Stockin, KA, additional
- Published
- 2020
- Full Text
- View/download PDF
5. Field performance of tagasaste (Chamaecytisus Palmensis) under different harvesting management in a tropical highland area of Ethiopia
- Author
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Assefa, Getnet, Peters, KJ, Kijora, C, and Minta, Muluneh
- Subjects
tagasaste, harvesting management, season, biomass, crude protein, tropical highlands - Abstract
Tagasaste (Chamaecytisus palmensis) is one of productive multipurpose tree species grown in the tropical highlands of Ethiopia. Despite its potential role as a source of forage and natural resource conservation, adequate studies were not made on agronomic practices such as establishment, harvesting managements and utilization. The objectives of this study were to investigate the effect of establishment and subsequent harvesting managements on biomass (BM) yield, crude protein (CP) content, botanical fractions of total biomass and persistency of tagasaste. Establishment of tagasaste was undertaken for three consecutive years at Holeta Research Center (HRC) in the highlands of Ethiopia. The two harvesting management trials, harvesting stage and growing season were arranged separately in a randomized complete block design with three replications. In harvesting stage study, four treatments of harvesting stage including HS1 (3 harvests per year at 4 months interval), HS2 (2 harvests per year at 6 months interval), HS3 (one harvest at 8 months and the 2nd harvest after 4 months) and HS4 (one harvest at 10 months and the 2nd harvest after 2 months) were compared annually. In the growing season study, tagasaste was allowed to regrow for 6 months so that exposed to the main rain, dry and short rainy seasons of the area. Planting and harvesting year had a significant (P
- Published
- 2016
6. Chemical Composition, in situ Degradability and in vitro Gas Production of Tagasaste (Chamaecytisus palmensis) Forage Harvested at Different Stages
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Assefa, Getnet, Kehaliew, Aemiro, Kebede, Gezahegn, Kijora, C, and Peters, KJ
- Abstract
The leguminous tree tagasaste is highly productive in the Ethiopian highlands. However, its nutritional value, as affected by the different agronomic practices is not fully understood under the tropical highland conditions. This study investigated the quality profile of tagasaste forage harvested at different re-growth stages by measuring the chemical composition, in situ degradability and in vitro gas production. Tagasaste re-growths after one year of establishment was harvested and the re-growths starting from the main rainy season (July) was harvested at 4, 6, 8 and 10 months. The harvested forages were fractionated into leaves and edible branches. Chemical composition, in situ degradability using rumen fistulated steers and in vitro gas production using rumen fluid from rumen fistulated dry cows were evaluated. The average crude protein (CP) content of tagasaste in the leaves ranged between 189 and 242 g kg-1 dry matter (DM) was not significantly affected by harvesting stage regrowth. The neutral detergent fibre, acid detergent fibre, acid detergent lignin and ether extract contents of tagasaste increased with length of re-growth. The amino acid profile of tagasaste protein showed high contents of the essential amino acids leucine and lysine but lower contents of methionine and histidine. Tagasaste grown under Ethiopian highland conditions was found deficient in phosphorus, sulphur, and sodium, but had adequate amounts of calcium, potassium, zinc and iron. The average in situ potential and effective degradability of leaves were 795 and 518 g kg-1 DM respectively and was lowest at the 10 months harvesting stage. The in vitro gas production declined with length of re-growth. Gas production was higher for leaves followed by branches with mean value of 43.7 and 39.1 ml 200-1 mg DM at 24 h respectively. The high CP content, degradability and in vitro gas production of tagasaste forage reveals its high potential to be used as a protein supplement for ruminants. The studied quality parameters should be further verified using animal performance.
- Published
- 2016
7. Search for supersymmetry in events with large missing transverse momentum, jets, and at least one tau lepton in 20 fb−1 of √s= 8 TeV proton-proton collision data with the ATLAS detector
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The ATLAS Collaboration, A, Aad, G, Abbott, B, Abdallah, JM, Abdel Khalek, S, Abdinov, OB, Aben, R, Abi, BA, Abolins, MA, AbouZeid, OS, Abramowicz, H, Abreu, H, Abreu, R, Abulaiti, Y, Acharya, BS, Adamczyk, L, Adams, DL, Adelman, J, Adomeit, S, Adye, TJ, Agatonovic-Jovin, T, Aguilar-Saavedra, JA, Agustoni, M, Ahlen, SP, Ahmadov, F, Aielli, G, Åkerstedt, HO, Åkesson, TPA, Akimoto, G, Akimov, AV, Alberghi, GL, Albert, JB, Albrand, S, Alconada Verzini, MJ, Aleksa, M, Aleksandrov, IN, Alexa, C, Alexander, GK, Alexandre, G, Alexopoulos, TA, Alhroob, M, Alimonti, G, Alio, L, Alison, JM, Allbrooke, BMM, Allison, LJ, Allport, PP, Almond, JE, Aloisio, A, Alonso, A, Alonso, F, Alpigiani, C, Altheimer, AD, Álvarez González, B, Alviggi, MG, Amako, K, Amaral Coutinho, Y, Amelung, C, Amidei, D, Amor Dos Santos, SP, Amorim, AS, Amoroso, S, Amram, N, Amundsen, G, Anastopoulos, C, Ancu, LS, Andari, N, Andeen, TR, Anders, CF, Anders, G, Anderson, KJ, Andreazza, A, Andrei, V, Anduaga, XS, Angelidakis, S, Angelozzi, I, Anger, P, Angerami, A, Anghinolfi, F, Anisenkov, AV, Anjos, N, Annovi, A, Antonaki, A, Antonelli, M, Antonov, A, Antos, J, Anulli, F, Aoki, M, Aperio Bella, L, Apolle, R, Arabidze, G, Aracena, I, Arai, Y, Araque, JP, Arce, ATH, Arguin, JF, Argyropoulos, S, Arik, M, Armbruster, AJ, Arnaez, O, Arnal, V, Arnold, H, Arratia, M, Arslan, O, Artamonov, AV, Artoni, G, Asai, S, Asbah, N, Ashkenazi, A, Åsman, BA, Asquith, L, Assamagan, KA, Astalos, R, Atkinson, MN, Atlay, NB, Auerbach, B, Augsten, K, Aurousseau, M, Avolio, G, Azuelos, G, Azuma, Y, Baak, M, Baas, AE, Bacci, C, Bachacou, H, Bachas, K, Backes, M, Backhaus, M, Backus Mayes, J, Badescu, E, Bagiacchi, P, Bagnaia, P, Bai, Y, Bain, T, Baines, JT, Baker, OK, Balek, P, Balli, F, Banaś, E, Banerjee, SW, Bannoura, AAE, Bansal, V, Bansil, HS, Barak, L, Baranov, SP, Barberio, EL, Barberis, DP, Barbero, M, Barillari, T, Barisonzi, M, Barklow, TL, Barlow, NR, Barnett, BM, Barnett, RM, Barnovská, Z, Baroncelli, A, Barone, G, Barr, AJ, Barreiro, F, Barreiro Guimarães Da Costa, J, Bartoldus, R, Barton, AE, Bartoš, P, Bartsch, V, Bassalat, A, Basye, AT, Bates, RL, Batley, JR, Battaglia, MC, Battistin, M, Bauer, FJM, Bawa, HS, Beattie, MD, Beau, TJ, Beauchemin, PH, Beccherle, RB, Bechtle, P, Beck, HP, Becker, KH, Becker, S, Beckingham, M, Becot, C, Beddall, AJ, Bedikian, S, Bednyakov, VA, Bee, CP, Beemster, LJ, Beermann, TA, Begel, M, Behr, K, Bèlanger-Champagne, C, Bell, PJ, Bell, WH, Bella, G, Bellagamba, L, Bellerive, A, Bellomo, M, Belotskiy, K, Beltramello, O, Benary, O, Benchekroun, D, Bendtz, K, Benekos, NCHR, Benhammou, Y, Benhar Noccioli, E, Benitez Garcia, JA, Benjamin, DP, Bensinger, JR, Benslama, K, Bentvelsen, S, Berge, D, Bergeaas Kuutmann, E, Berger, N, Berghaus, F, Beringer, J, Bernard, C, Bernat, P, Bernius, C, Bernlochner, FU, Berry, TS, Berta, P, Bertella, C, Bertoli, G, Bertolucci, FS, Bertsche, C, Bertsche, D, Besana, MI, Besjes, GJ, Bessidskaia, O, Bessner, MF, Besson, N, Betancourt, C, Bethke, S, Bhimji, W, Bianchi, RM, Bianchini, L, Bianco, M, Biebel, O, Bieniek, SP, Bierwagen, K, Biesiada, JB, Biglietti, MG, Bilbao De Mendizabal, J, Bilokon, H, Bindi, M, Binet, S, Bingül, A, Bini, C, Black, CW, Black, JE, Black, KM, Blackburn, D, Blair, RE, Blanchard, JB, Blažek, T, Bloch, I, Blocker, CA, Blum, W, Blumenschein, U, Bobbink, GJ, Bobrovnikov, VS, Bocchetta, SS, Bocci, A, Bock, C, Boddy, CR, Boehler, M, Boek, TT, Bogaerts, JAC, Bogdanchikov, AG, Bogouch, A, Bohm, C, Böhm, J, Boisvert, V, Bołd, T, Boldea, V, Boldyrev, AS, Bomben, M, Bona, M, Boonekamp, M, Borisov, AA, Borissov, G, Borri, M, Borroni, S, Bortfeldt, J, Bortolotto, V, Bos, K, Boscherini, D, Bosman, M, Boterenbrood, H, Boudreau, JF, Bouffard, J, Bouhova-Thacker, EV, Boumediène, DE, Bourdarios, C, Bousson, N, Boutouil, S, Boveia, A, Boyd, J, Boyko, IR, Braciník, J, Brandt, A, Brandt, G, Brandt, O, Bratzler, U, Brau, BP, Brau, JE, Braun, HM, Brazzale, SF, Brelier, B, Brendlinger, K, Brennan, AJ, Brenner, RA, Bressler, S, Bristow, K, Bristow, TM, Britton, DI, Brochu, FM, Brock, IC, Brock, R, Bromberg, C, Bronner, J, Brooijmans, G, Brooks, TC, Brooks, WK, Brosamer, J, Brost, EC, Brown, JM, Brückman De Renstrom, PA, Bruncko, D, Brunelière, R, Brunet, SMK, Bruni, A, Bruni, G, Bruschi, M, Bryngemark, L, Buanes, T, Buat, Q, Bucci, F, Buchholz, PS, Buckingham, RM, Buckley, AG, Buda, SI, Budagov, IA, Buehrer, F, Bugge, L, Bugge, MK, Bulekov, OV, Bundock, AC, Burckhart, HJ, Burdin, S, Burghgrave, B, Bürke, SP, Burmeister, I, Busato, E, Büscher, D, Büscher, V, Bussey, PJ, Buszello, CP, Butler, B, Butler, JM, Butt, AI, Buttar, CM, Butterworth, JM, Butti, P, Buttinger, W, Buzatu, A, Byszewski, M, Cabrera Urbán, S, Caforio, D, Çakír, O, Calafiura, P, Calandri, A, Calderini, G, Calfayan, P, Calkins, R, Calôba, LP, Calvet, D, Calvet, S, Camacho Toro, R, Camarda, S, Cameron, DG, Caminada, LM, Caminal Armadans, R, Campana, S, Campanelli, M, Campoverde, A, Canale, V, Canepa, A, Cano Bret, M, Cantero, J, Cantrill, R, Cao, T, Capeáns Garrido, MDM, Caprini, I, Caprini, M, Capua, M, Caputo, R, Cardarelli, R, Carli, T, Carlino, G, Carminati, L, Caron, S, Carquín, E, Carrillo Montoya, GD, Carter, JR, Carvalho, JCL, Casadei, D, Casado, MP, Casolino, M, Castaneda-Miranda, E, Castelli, A, Castillo Gimenez, V, Castro, NF, Catastini, PL, Catinaccio, A, Catmore, JR, Cattai, A, Cattani, G, Caughron, S, Cavaliere, V, Cavalli, DJ, Cavalli-Sforza, MC, Cavasinni, V, Ceradini, F, Cerio, BC, Černý, K, Cerqueira, AS, Cerri, A, Cerrito, L, Cerutti, F, Červ, M, Cervelli, A, Cetin, SA, Chafaq, A, Chakraborty, D, Chalupkova, I, Chang, P, Chapleau, B, Chapman, JD, Charfeddine, D, Charlton, DG, Chau, CC, Chavez Barajas, CA, Cheatham, S, Chegwidden, A, Chekanov, SV, Chekulaev, SV, Chelkov, G, Chełstowska, MA, Chen, C, Chen, H, Chen, K, Chen, L, Chen, S, Chen, X, Chen, Y, Chen, YC, Cheng, H, Cheng, Y, Cheplakov, AP, Cherkaoui El Moursli, R, Chernyatin, VK, Cheu, E, Chevalier, L, Chiarella, V, Chiefari, GV, Childers, JT, Chilingarov, AG, Chiodini, G, Chisholm, AS, Chislett, RT, Chitan, A, Chizhov, MV, Chouridou, S, Chow, BKB, Chromek-Burckhart, D, Chu, M, Chudoba, J, Chwastowski, JJ, Chytka, L, Ciapetti, G, Çiftçi, AK, Çiftçi, R, Cinca, D, Cindro, V, Ciocio, A, Cirkovic, P, Citron, ZH, Citterio, M, Ciubancan, M, Clark, AG, Clark, PJ, Clarke, RN, Cleland, WE, Clémens, JC, Clément, C, Coadou, YC, Cobal, M, Coccaro, A, Cochran, J, Coffey, LOL, Cogan, JG, Coggeshall, JC, Cole, BA, Cole, S, Colijn, AP, Collot, J, Colombo, T, Colon, G, Compostella, G, Conde Muíño, PC, Coniavitis, E, Conidi, MC, Connell, SH, Connelly, IA, Consonni, SM, Consorti, V, Constantinescu, S, Conta, C, Conti, G, Conventi, FA, Cooke, M, Cooper, BD, Cooper-Sarkar, AM, Cooper-Smith, NJ, Copic, K, Cornélissen, TG, Corradi, M, Corriveau, F, Corso-Radu, A, Cortes-Gonzalez, A, Cortiana, G, Costa, GC, Costa, MJ, Costanzo, D, Côté, D, Cottin, G, Cowan, GA, Cox, BE, Cranmer, KS, Cree, G, Crépé-Renaudin, S, Crescioli, F, Cribbs, WA, Crispin Ortuzar, M, Cristinziani, M, Croft, V, Crosetti, G, Cuciuc, CM, Çuhadar-Dönszelmann, T, Cummings, JP, Curatolo, M, Cuthbert, C, Czirr, H, Czodrowski, P, Czyczula, Z, D Auria, S, D Onofrio, MJ, Da Cunha Sargedas De Sousa, MJ, Da Viá, C, Da̧browski, WR, Dafinca, A, Dai, T, Dale, Ø, Dallaire, F, Dallapiccola, C, Dam, M, Daniells, AC, Dano Hoffmann, M, Dao, V, Darbo, G, Darmora, S, Dassoulas, JA, Dattagupta, A, Davey, W, David, C, Davidek, T, Davies, EA, Davies, M, Davignon, OA, Davison, AR, Davison, P, Davygora, Y, Dawe, EJ, Dawson, I, Daya-Ishmukhametova, RK, De, K, De Asmundis, R, De Castro, S, De Cecco, SD, De Groot, ND, De Jong, P, De La Torre, H, De Lorenzi, F, De Nooij, L, De Pedis, D, De Salvo, A, De Sanctis, U, De Santo, A, De Vivie De Régie, JB, Dearnaley, WJ, Debbe, RR, Debenedetti, C, Dechenaux, B, Dedovich, DV, Deigaard, I, Del Peso, J, Del Prete, T, Déliot, F, Delitzsch, CM, Deliyergiyev, MA, Dell Acqua, A, Dell Asta, L, Dell Orso, M, Della Pietra, M, Della Volpe, D, Delmastro, M, Delsart, PA, Deluca, C, Demers, SM, Demichev, MA, Demilly, A, Denisov, SP, Derendarz, D, Derkaoui, JE, Derue, F, Dervan, PJ, Desch, KK, Deterre, C, Deviveiros, PO, Dewhurst, AL, Dhaliwal, S, Di Ciaccio, A, Di Ciaccio, L, Di Domenico, A, Di Donato, CD, Di Girolamo, A, Di Girolamo, B, Di Mattia, A, Di Micco, BD, Di Nardo, R, Di Simone, A, Di Sipio, R, Di Valentino, D, Dias, FA, Díaz, MA, Diehl, EB, Dietrich, J, Dietzsch, TA, Diglio, S, Dimitrievska, A, Dingfelder, JC, Dionisi, C, Diţǎ, P, Diţǎ, S, Dittus, F, Djama, F, Djobava, TD, Do Vale, MAB, Do Valle Wemans, A, Doan, TKO, Doboş, D, Doglioni, C, Doherty, T, Dohmae, T, Dolejší, J, Doležal, Z, Dolgoshein, BA, Donadelli, M, Donati, S, Dondero, P, Donini, J, Dopke, J, Doria, A, Dova, MT, Doyle, AT, Dris, MA, Dubbert, J, Dube, S, Dubreuil, E, Duchovni, E, Duckeck, G, Ducu, OA, Duda, D, Dudarev, AV, Dudziak, F, Duflot, L, Duguid, L, Dührssen, M, Dunford, MA, Duran Yildiz, H, Düren, M, Durglishvili, A, Dwužnik, M, Dyndal, M, Ebke, J, Edson, W, Edwards, NC, Ehrenfeld, W, Eifert, TF, Eigen, G, Einsweiler, KF, Ekelöf, T, El Kacimi, M, Ellert, M, Elles, S, Ellinghaus, F, Ellis, N, Elmsheuser, J, Elsing, M, Emeliyanov, DD, Enari, Y, Endner, OC, Endo, M, Engelmann, RJ, Erdmann, J, Ereditato, A, Eriksson, DP, Ernis, G, Ernst, JA, Ernst, M, Ernwein, JG, Errede, D, Errede, SM, Ertel, E, Escalier, M, Esch, H, Escobar, CO, Esposito, B, Etienvre, AI, Etzion, E, Evans, HG, Ezhilov, A, Fabbri, L, Facini, GJ, Fakhrutdinov, RM, Falciano, S, Falla, RJ, Faltova, J, Fang, Y, Fanti, M, Farbin, A, Farilla, A, Farooque, T, Farrell, S, Farrington, SM, Farthouat, P, Fassi, F, Fassnacht, P, Fassouliotis, D, Favareto, A, Fayard, L, Federic, P, Fedin, OL, Fedorko, WT, Fehling-Kaschek, M, Feigl, S, Feligioni, L, Feng, C, Feng, E, Feng, H, Fenyuk, AB, Fernández-Pérez, S, Ferrag, S, Ferrando, J, Ferrari, AF, Ferrari, P, Ferrari, R, Ferreira De Lima, DE, Ferrer, A, Ferrère, D, Ferretti, C, Ferretto Parodi, A, Fiascaris, M, Fiedler, F, Filipčič, A, Filipuzzi, M, Filthaut, F, Fincke-Keeler, M, Finelli, KD, Fiolhais, MCN, Fiorini, L, Firan, A, Fischer, AM, Fischer, J, Fisher, WC, Fitzgerald, EA, Flechl, M, Fleck, I, Fleischmann, P, Fleischmann, S, Fletcher, GT, Flick, T, Floderus, A, Flores-Castillo, LR, Florez Bustos, AC, Flowerdew, MJ, Formica, A, Forti, AC, Fortin, D, Fournier, D, Fox, HS, Fracchia, S, Francavilla, P, Franchini, MCO, Franchino, S, Francis, D, Franconi, L, Franklin, M, Franz, S, Fraternali, M, French, ST, Friedrich, C, Friedrich, F, Froidevaux, D, Frost, JA, Fukunaga, C, Fullana Torregrosa, E, Fulsom, BG, Fuster, J, Gabaldón, C, Gabizon, O, Gabrielli, A, Gadatsch, S, Gadomski, S, Gagliardi, G, Gagnon, P, Galea, CF, Galhardo, B, Gallas, EJ, Gallo, VS, Gallop, BJ, Gallus, P, Galster, G, Gan, KK, Gao, J, Gao, YS, Garay Walls, FM, Garberson, F, García, CH, García Navarro, JE, Garcia-Sciveres, M, Gardner, RW, Garelli, N, GaronnE, VG, Gatti, C, Gaudio, G, Gaur, B, Gauthier, L, Gauzzi, P, Gavrilenko, IL, Gay, C, Gaycken, GG, Gazis, EN, Ge, P, Gecse, Z, Gee, CNP, Geerts, DAA, Geich-Gimbel, CH, Gellerstedt, K, Gemme, C, Gemmell, A, Genest, MH, Gentile, S, George, MA, George, S, Gerbaudo, D, Gershon, A, Ghazlane, H, Ghodbane, N, Giacobbe, B, Giagu, S, Giangiobbe, V, Giannetti, P, Gianotti, F, Gibbard, BG, Gibson, SM, Gilchriese, MGD, Gillam, TPS, Gillberg, D, Gilles, G, Gingrich, DM, Giokaris, ND, Giordani, MP, Giordano, R, Giorgi, FM, Giraud, PF, Giugni, D, Giuliani, C, Giulini, M, Gjelsten, BK, Gkaitatzis, S, Gkialas, IK, Gladilin, LK, Glasman, CJ, Glatzer, J, Glaysher, PCF, Glazov, AA, Glonti, GL, Goblirsch-Kolb, M, Goddard, JR, Godfrey, J, Godlewski, J, Goeringer, C, Goldfarb, S, Golling, T, Golubkov, DY, Gomes, A, Gomez Fajardo, LS, Gonçalo, R, Goncalves Pinto Firmino Da Costa, J, Gonella, LB, González De La Hoz, S, Gonzalez Parra, G, González-Sevilla, S, Goossens, L, Gorbounov, PA, Gordon, HA, Gorelov, IV, Gorini, B, Gorini, E, Gorišek, A, Górnicki, E, Goshaw, AT, Gößling, C, Gostkin, MI, Gouighri, M, Goujdami, D, Goulette, MP, Goussiou, AG, Goy, C, Gozpinar, S, Grabas, HMX, Graber, L, Grabowska-Bołd, I, Grafström, P, Grahn, KJ, Gramling, JL, Gramstad, E, Grancagnolo, S, Grassi, V, Gratchev, VM, Gray, HM, Graziani, E, Grebenyuk, OG, Greenwood, ZD, Gregersen, KAD, Gregor, IM, Grenier, PA, Griffiths, JP, Grillo, AA, Grimm, KH, Grinstein, SLY, Gris, PLY, Grishkevich, YV, Grivaz, JF, Grohs, JP, Grohsjean, A, Gross, EE, Große-Knetter, J, Grossi, GC, Groth-Jensen, J, Grout, ZJ, Guan, L, Guescini, F, Guest, D, Gueta, O, Guicheney, CJ, Guido, E, Guillemin, T, Guindon, S, Gul, U, Gumpert, C, Günther, J, Guo, J, Gupta, SK, Gutierrez, P, Gutierrez Ortiz, NG, Gütschow, C, Guttman, N, Guyot, C, Gwenlan, C, Gwilliam, CB, Haas, A, Haber, CH, Hadavand, HK, Haddad, NK, Haefner, P, Hageböck, S, Hajduk, Z, Hakobyan, HS, Haleem, M, Hall, DC, Halladjian, G, Hamacher, K, Hamal, P, Hamano, K, Hamer, M, Hamilton, A, Hamilton, SM, Hamity, GN, Hamnett, PG, Han, L, Hanagaki, K, Hanawa, K, Hance, M, Hanke, PA, Hanna, R, Hansen, JB, Hansen, JD, Hansen, PH, Hara, K, Hard, AS, Harenberg, T, Hariri, F, Harkusha, SN, Harper, D, Harrington, RD, Harris, OM, Harrison, PF, Hartjes, FG, Hasegawa, M, Hasegawa, S, Hasegawa, Y, Hasib, A, Hassani, S, Haug, S, Hauschild, M, Hauser, R, Havránek, M, Hawkes, CM, Hawkings, RJ, Hawkins, AD, Hayashi, T, Hayden, D, Hays, CP, Hayward, HS, Haywood, SJ, Head, SJ, Heck, T, Hedberg, V, Heelan, L, Heim, S, Heim, T, Heinemann, B, Heinrich, L, Hejbal, J, Helary, L, Heller, C, Heller, M, Hellman, S, Hellmich, D, Helsens, C, Henderson, JC, Henderson, RCW, Heng, Y, Hengler, C, Henrichs, A, Henriques Correia, AM, Henrot-Versillé, S, Hensel, C, Herbert, GH, Hernández Jiménez, Y, Herrberg-Schubert, R, Herten, G, Hertenberger, R, Hervás, L, Hesketh, GG, Hessey, NP, Hickling, RS, Higón-Rodriguez, E, Hill, EG, Hill, JC, Hiller, KH, Hillert, S, Hillier, SJ, Hinchliffe, I, Hines, EP, Hirose, M, Hirschbuehl, D, Hobbs, JD, Hod, N, Hodgkinson, MC, 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Ruiz-Martínez, A, Rúriková, Z, Rusakovich, NA, Ruschke, A, Rutherfoord, JP, Ruthmann, NP, Ryabov, YF, Rybar, M, Rybkin, G, Ryder, NC, Saavedra, AF, Sacerdoti, S, Saddique, A, Sadeh, IH, Sadrozinski, HFW, Sadykov, RR, Safai Tehrani, F, Sakamoto, H, Sakurai, Y, Salamanna, G, Salamon, A, Saleem, MS, Šálek, D, Sales De Bruin, PH, Salihagić, D, Salnikov, AA, Salt, J, Salvatore, D, Salvatore, F, Salvucci, A, Salzburger, A, Sampsonidis, D, Sánchez, AK, Sánchez, JA, Sánchez-Martínez, VM, Sandaker, H, Sandbach, RL, Sander, HG, Sanders, MPA, Sandhoff, M, Sandoval, T, Sandoval, CE, Sandstroem, R, Sankey, DPC, Sansoni, A, Santoni, C, Santonico, R, Santos, HG, Santoyo Castillo, I, Sapp, K, Sapronov, AA, Saraiva, JG, Sarrazin, B, Sartisohn, G, Sasaki, O, Sasaki, Y, Sauvage, G, Sauvan, E, Savard, P, Savu, DO, Sawyer, CA, Sawyer, L, Saxon, DH, Saxon, J, Sbarra, C, Sbrizzi, A, Scanlon, T, Scannicchio, DA, Scarcella, M, Scarfone, V, Schaarschmidt, J, Schacht, P, Schaefer, D, Schaefer, RK, Schaepe, S, Schaetzel, S, Schäfer, U, Schaffer, AC, Schaile, D, Schamberger, RD, Scharf, V, Schegelsky, VA, Scheirich, D, Schernau, M, Scherzer, MI, Schiavi, C, Schieck, JR, Schillo, C, Schioppa, M, Schlenker, S, Schmidt, EE, Schmieden, K, Schmitt, C, Schmitt, S, Schneider, B, Schnellbach, YJ, Schnoor, U, Schoeffel, L, Schoening, A, Schoenrock, BD, Schorlemmer, ALS, Schott, M, Schouten, D, Schovancová, J, Schramm, S, Schreyer, M, Schroeder, C, Schuh, N, Schultens, MJ, Schultz-Coulon, HC, Schulz, H, Schumacher, M, Schumm, BA, Schune, PH, Schwanenberger, C, Schwartzman, A, Schwegler, PH, Schwemling, PH, Schwienhorst, R, Schwindling, J, Schwindt, T, Schwoerer, M, Sciacca, FG, Scifo, E, Sciolla, G, Scott, WG, Scuri, F, Scutti, F, Searcy, JK, Sedov, G, Sedykh, EV, Seidel, SC, Seiden, AM, Seifert, F, Seixas, JM, Sekhniaidze, GG, Sekula, SJ, Selbach, KE, Seliverstov, DM, Sellers, G, Semprini-Cesari, N, Serfon, C, Serin, L, Serkin, L, Serre, T, Seuster, R, Severini, H, Sfiligoj, T, Sforza, F, Sfyrla, A, Shabalina, EK, Shamim, M, Shan, LY, Shang, R, Shank, JT, Shapiro, MD, Shatalov, PB, Shaw, K, Shehu, CY, Sherwood, P, Shi, L, Shimizu, S, Shimmin, CO, Shimojima, M, Shiyakova, M, Shmeleva, AP, Shochet, MJ, Short, D, Shrestha, S, Shulga, E, Shupe, MA, Shushkevich, S, Šícho, P, Sidiropoulou, O, Sidorov, DB, Sidoti, A, Siegert, F, Šijački, DJ, Silva, JJS, Silver, Y, Silverstein, DW, Silverstein, SB, Šimák, V, Simard, O, Simić, LJ, Simion, SVA, Simioni, E, Simmons, B, Simoniello, R, Simonyan, M, Sinervo, PK, Sinev, NB, Sipica, V, Siragusa, G, Sircar, A, Sisakyan, AN, Sivoklokov, SYU, Sjölin, J, Sjursen, TB, Skottowe, HP, Skovpen, KYU, Skubic, P, Slater, MW, Slavíček, T, Śliwa, K, Smakhtin, VP, Smart, BH, Smestad, L, Smirnov, SYU, Smirnov, YU, Smirnova, LN, Smirnova, O, Smith, KM, Smižanská, M, Smolek, K, Snesarev, AA, Snidero, G, Snyder, SS, Sobie, RJ, Socher, F, Soffer, A, Soh, DA, Solans, CA, Solar, M, Šolc, J, Soldatov, EYU, Soldevila, U, Solodkov, AA, Soloshenko, A, Solovyanov, OV, Solovyev, VV, Sommer, P, Song, HY, Soni, NO, Sood, AD, Sopczak, A, Sopko, B, Sopko, V, Sorïn, V, Sosebee, M, Soualah, R, Soueid, P, Soukharev, AM, South, DM, Spagnolo, S, Spanò, F, Spearman, WR, Spettel, F, Spighi, R, Spigo, G, Spiller, LA, Spousta, M, Spreitzer, T, Spurlock, B, St Denis, RDS, Staerz, S, Stahlman, JM, Stamen, R, Stamm, S, Stanecka, E, Stanek, RW, Stanescu, C, Stanescu-Bellu, M, Stanitzki, MM, Stapnes, S, Starchenko, EA, Stark, J, Staroba, P, Starovoitov, PM, Staszewski, R, Šťavina, P, Steinberg, PA, Stelzer, B, Stelzer, HJ, Stelzer-Chilton, O, Stenzel, H, Stern, S, Stewart, GA, Stillings, JA, Stockton, MC, Stoebe, M, Stoicea, G, Stolte, P, Stonjek, S, Stradling, AR, Straessner, A, Stramaglia, ME, Strandberg, J, Strandberg, S, Strandlie, A, Strauss, E, Strauss, MG, Strizenec, P, Ströhmer, R, Strom, DM, Stroynowski, R, Struebig, A, Stucci, SA, Stugu, B, Styles, NA, Su, D, Su, J, Subramaniam, R, Succurro, A, Sugaya, Y, Suhr, C, Suk, M, Sulin, VV, Sultansoy, SF, Sumida, T, Sun, S, Sun, X, Sundermann, JE, Suruliz, K, Susinno, GC, Sutton, MR, Suzuki, Y, Svatos, MM, Swedish, SM, Swiatlowski, M, Sýkora, I, Sýkora, T, Ta, D, Taccini, C, Tackmann, K, Taenzer, J, Taffard, AC, Tafirout, R, Taiblum, N, Takai, H, Takashima, R, Takeda, H, Takeshita, T, Takubo, Y, Talby, M, Talyshev, AA, Tam, JYC, Tan, K, Tanaka, J, Tanaka, R, Tanaka, S, Tanasijczuk, AJ, Tannenwald, BB, Tannoury, N, Tapprogge, S, Tarem, S, Tarrade, F, Tartarelli, GF, Tas, P, Taševský, M, Tashiro, T, Tassi, E, Tavares Delgado, A, Tayalati, Y, Taylor, FE, Taylor, GN, Taylor, WM, Teischinger, FA, Teixeira Dias Castanheira, M, Teixeira-Dias, P, Temming, KK, Ten Kate, H, Teng, P, Teoh, JJ, Terada, S, Terashi, K, Terrón, JM, Terzo, S, Testa, M, Teuscher, RJ, Therhaag, J, Theveneaux-Pelzer, T, Thomas, JP, Thomas-Wilsker, J, Thompson, EN, Thompson, PD, Thompson, RJ, Thompson, AS, Thomsen, LA, Thomson, EJ, Thomson, MA, Thong, WM, Thun, RP, Tian, F, Tibbetts, MJ, Tikhomirov, VO, Tikhonov, YA, Timoshenko, SL, Tiouchichine, E, Tipton, PL, Tisserant, S, Todorov, T, Todorova-Nová, S, Toggerson, BK, Tojo, J, Tokár, S, Tokushuku, K, Tollefson, K, Tomlinson, L, Tomoto, M, Tompkins, L, Toms, KS, Topilin, ND, Torrence, E, Torres, H, Torró Pastor, E, Toth, JJ, Touchard, F, Tovey, DR, Tran, HL, Trefzger, T, Tremblet, L, Tricoli, A, Trigger, IM, Trincaz-Duvoid, S, Tripiana, MF, Trischuk, W, Trocmé, B, Troncon, C, Trottier-McDonald, M, Trovatelli, M, True, P, Trzebiński, M, Trzupek, A, Tsarouchas, CJ, Tseng, J, Tsiareshka, PV, Tsionou, D, Tsipolitis, G, Tsirintanis, N, Tsiskaridze, S, Tsiskaridze, VK, Tskhadadze, EG, Tsukerman, II, Tsulaia, VM, Tsuno, S, Tsybychev, D, Tudorache, A, Tudorache, V, Tuna, AN, Tupputi, SA, Turchikhin, SM, Turecek, D, Türk Çakir, I, Turra, R, Tuts, PM, Tykhonov, AV, Tylmad, M, Tyndel, M, Uchida, K, Ueda, I, Ueno, R, Ughetto, M, Ugland, M, Uhlenbrock, M, Ukegawa, F, Ünal, G, Undrus, AE, Ünel, G, Ungaro, FC, Unno, Y, Unverdorben, C, Urbaniec, D, Urquijo, P, Usai, GI, Usanova, A, Vacavant, L, Vacek, V, Vachon, B, Valencic, N, Valentinetti, S, Valero, A, Valéry, L, Valkár, S, Valladolid Gallego, EV, Vallecorsa, S, Valls Ferrer, JA, Van Den Wollenberg, W, Van Der Deijl, PC, Van Der Geer, R, Van Der Graaf, H, Van Der Leeuw, R, Van Der Ster, DC, Van Eldik, N, Van Gemmeren, P, Van Nieuwkoop, J, Van Vulpen, I, Van Woerden, MC, Vanadia, M, Vandelli, WR, Vanguri, R, Vaniachine, AV, Vankov, P, Vannucci, F, Vardanyan, GA, Vari, R, Varnes, EW, Varol, T, Varouchas, D, Vartapetian, AH, Varvell, K, Vazeille, F, Vazquez Schroeder, T, Veatch, J, Veloso, F, Veneziano, S, Ventura, A, Ventura, D, Venturi, M, Venturi, N, Venturini, A, Vercesi, V, Verducci, M, Verkerke, W, Vermeulen, JC, Vest, AL, Vetterli, MC, Viazlo, O, Vichou, I, Vickey, T, Vickey Boeriu, OE, Viehhauser, GHA, Viel, S, Vigne, R, Villa, M, Villaplana Perez, M, Vilucchi, E, Vincter, MG, Vinogradov, VB, Virzi, J, Vivarelli, I, Vives Vaque, F, Vlachos, S, Vladoiu, D, Vlasák, M, Vogel, A, Vogel, M, Vokac, P, Volpi, G, Volpi, M, Von Der Schmitt, H, Von Radziewski, H, Von Toerne, E, Vorobel, V, Vorobev, K, Vos, MA, Voss, RGP, Vossebeld, JH, Vranješ, N, Vranjes Milosavljevic, M, Vrba, V, Vreeswijk, M, Vu Anh, T, Vuillermet, R, Vukotić, I, Vykydal, Z, Wágner, PD, Wagner, W, Wahlberg, H, Wahrmund, S, Wakabayashi, J, Walder, JP, Walker, RB, Walkowiak, W, Wall, RA, Waller, P, Walsh, B, Wang, C, Wang, F, Wang, H, Wang, J, Wang, JC, Wang, K, Wang, RJ, Wang, S, Wang, T, Wang, X, Wanotayaroj, C, Warburton, A, Ward, CP, Wardrope, DR, Warsinsky, M, Washbrook, AJ, Wasicki, C, Watkins, PM, Watson, AT, Watson, IJ, Watson, MF, Watts, G, Watts, SJ, Waugh, BM, Webb, SM, Weber, MS, Weber, SW, Webster, JS, Weidberg, AR, Weigell, P, Weinert, B, Weingarten, J, Weiser, C, Weits, H, Wells, PS, Wenaus, TJ, Wendland, DJ, Weng, ZL, Wengler, T, Wenig, SB, Wermes, N, Werner, MW, Werner, P, Wessels, M, Wetter, J, Whalen, K, White, AP, White, MJ, White, RL, White, SN, Whiteson, DO, Wicke, D, Wickens, FJ, Wiedenmann, W, Wielers, M, Wienemann, P, Wiglesworth, C, Wiik-Fuchs, LAM, Wijeratne, PA, Wildauer, A, Wildt, MA, Wilkens, HG, Will, JZ, Williams, HH, Williams, SL, Willis, CJ, Willocq, SY, Wilson, AJ, Wilson, JA, Wingerter-Seez, I, Winklmeier, F, Winter, BT, Wittgen, M, Wittig, T, Wittkowski, J, Wollstadt, SJ, Wolter, MW, Wolters, H, Wosiek, BK, Wotschack, J, Woudstra, MJ, Woźniak, KW, Wright, M, Wu, M, Wu, SL, Wu, X, Wu, Y, Wulf, EA, Wyatt, TR, Wynne, BM, Xella, SM, Xiao, M, Xu, D, Xu, L, Yabsley, B, Yacoob, S, Yakabe, R, Yamada, M, Yamaguchi, H, Yamaguchi, Y, Yamamoto, A, Yamamoto, K, Yamamoto, S, Yamamura, T, Yamanaka, T, Yamauchi, K, Yamazaki, Y, Yan, Z, Yang, H, Yang, HJ, Yang, U, Yang, Y, Yanush, SI, Yao, L, Yao, WM, Yasu, Y, Yatsenko, EV, Yau Wong, KH, Ye, J, Ye, S, Yeletskikh, IV, Yen, AL, Yildirim, E, Yilmaz, M, Yoosoofmiya, R, Yorita, K, Yoshida, R, Yoshihara, K, Young, CJS, Youssef, SP, Yu, D, Yu, J, Yu, JM, Yuan, L, Yurkewicz, A, Yusuff, I, Zabiński, B, Zaidan, R, Zaitsev, AM, Zaman, A, Zambito, S, Zanello, L, Zanzi, D, Zeitnitz, C, Zeman, M, Zemla, A, Zengel, K, Zenin, OV, Ženiš, T, Zerwas, D, Zevi Della Porta, G, Zhang, D, Zhang, F, Zhang, H, Zhang, J, Zhang, L, Zhang, X, Zhang, Z, Zhao, Z, Zhemchugov, AS, Zhong, J, Zhou, B, Zhou, L, Zhou, NF, Zhu, CG, Zhu, HG, Zhu, J, Zhu, Y, Zhuang, X, Zhukov, KI, Zibell, A, Ziemińska, D, Zimine, NI, Zimmermann, C, Zimmermann, R, Zimmermann, S, Zinonos, Z, Ziólkowski, M, Zobernig, G, Zoccoli, A, Zur Nedden, M, Zurzolo, G, Zutshi, V, and Zwalinski, L
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High Energy Physics::Phenomenology ,High Energy Physics::Experiment - Abstract
© 2014, The Author(s). A search for supersymmetry (SUSY) in events with large missing transverse momentum, jets, at least one hadronically decaying tau lepton and zero or one additional light leptons (electron/muon), has been performed using 20.3fb−1of proton-proton collision data at √ s= 8 TeV recorded with the ATLAS detector at the Large Hadron Collider. No excess above the Standard Model background expectation is observed in the various signal regions and 95% confidence level upper limits on the visible cross section for new phenomena are set. The results of the analysis are interpreted in several SUSY scenarios, significantly extending previous limits obtained in the same final states. In the framework of minimal gauge-mediated SUSY breaking models, values of the SUSY breaking scale Λ below 63 TeV are excluded, independently of tan β. Exclusion limits are also derived for an mSUGRA/CMSSM model, in both the R-parity-conserving and R-parity-violating case. A further interpretation is presented in a framework of natural gauge mediation, in which the gluino is assumed to be the only light coloured sparticle and gluino masses below 1090 GeV are excluded.
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- 2014
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8. Artificial insemination services under different institutional framework in Bangladesh
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Uddin, MM, primary, Sultana, MN, primary, Huylenbroek, GV, primary, and Peters, KJ, primary
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- 2015
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9. Genetic relationship between lactation curve traits in the first three parities of dairy cattle
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Wasike, CB, primary, Kahi, AK, additional, and Peters, KJ, additional
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- 2014
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10. Phenotypic and molecular characterization of six Sudanese camel breeds
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Ishag, IA, primary, Reissmann, M, additional, Peters, KJ, additional, Musa, LMA, additional, and Ahmed, MKA, additional
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- 2011
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11. Palatability and chemical defenses of sponges from the western Antarctic Peninsula
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Peters, KJ, primary, Amsler, CD, additional, McClintock, JB, additional, van Soest, RWM, additional, and Baker, BJ, additional
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- 2009
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12. Comprehensive evaluation of the palatability and chemical defenses of subtidal macroalgae from the Antarctic Peninsula
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Amsler, CD, primary, Iken, K, additional, McClintock, JB, additional, Amsler, MO, additional, Peters, KJ, additional, Hubbard, JM, additional, Furrow, FB, additional, and Baker, BJ, additional
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- 2005
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13. Feeding Strategy For Improving Dairy Cattle Productivity In Small Holder Farm In Bangladesh
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Khan, MJ, primary, Peters, KJ, primary, and Uddin, MM, primary
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- 1970
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14. Ensuring near-optimum homogeneity and densification levels in nanoreinforced ceramics
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Nektaria-Marianthi Barkoula, Konstantinos G. Dassios, P. Alafogianni, Theodore E. Matikas, Gilbert Fantozzi, Guillaume Bonnefont, Matériaux, ingénierie et science [Villeurbanne] ( MATEIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ) -Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Meyendorf, NG and Matikas, TE and Peters, KJ, Matériaux, ingénierie et science [Villeurbanne] (MATEIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Meyendorf, NG and Matikas, TE and Peters, and KJ
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Materials science ,ultrasonics ,[ SPI.MAT ] Engineering Sciences [physics]/Materials ,Sintering ,02 engineering and technology ,Carbon nanotube ,010402 general chemistry ,01 natural sciences ,law.invention ,[SPI.MAT]Engineering Sciences [physics]/Materials ,law ,Nano ,Homogeneity (physics) ,Ceramic ,Composite material ,Nanocomposite ,Consolidation (soil) ,carbon nanotubes ,Green body ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,toughening ,visual_art ,visual_art.visual_art_medium ,ceramic matrix composites ,0210 nano-technology - Abstract
Conference on Smart Materials and Nondestructive Evaluation for Energy Systems 2016, Las Vegas, NV, MAR 21-23, 2016; International audience; The development of a new generation of high temperature ceramic materials for aerospace applications, reinforced at a scale closer to the molecular level and three orders of magnitude less than conventional fibrous reinforcements, by embedded carbon nanotubes, has recently emerged as a uniquely challenging scientific effort. The properties of such materials depend strongly on two main factors: i) the homogeneity of the dispersion of the hydrophobic medium throughout the ceramic volume and ii) the ultimate density of the resultant product after sintering of the green body at the high-temperatures and pressures required for ceramic consolidation. The present works reports the establishment of two independent experimental strategies which ensure achievement of near perfect levels of tube dispersion homogeneity and fully dense final products. The proposed methodologies are validated across non-destructive evaluation data of materials performance.
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- 2016
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15. A novel processing route for carbon nanotube reinforced glass-ceramic matrix composites
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Konstantinos G. Dassios, Guillaume Bonnefont, Theodore E. Matikas, Gilbert Fantozzi, Matériaux, ingénierie et science [Villeurbanne] ( MATEIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ) -Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Peters, KJ, Matériaux, ingénierie et science [Villeurbanne] (MATEIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)
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Materials science ,Glass-ceramic ,ultrasonics ,carbon nanotubes ,Borosilicate glass ,Composite number ,[ SPI.MAT ] Engineering Sciences [physics]/Materials ,Spark plasma sintering ,Carbon nanotube ,Ceramic matrix composite ,7. Clean energy ,[SPI.MAT]Engineering Sciences [physics]/Materials ,law.invention ,Shear modulus ,toughening ,law ,visual_art ,visual_art.visual_art_medium ,ceramic matrix composites ,Ceramic ,Composite material - Abstract
Conference on Smart Sensor Phenomena, Technology, Networks, and Systems Integration, San Diego, CA, MAR 09-10, 2015; International audience; The current study reports the establishment of a novel feasible way for processing glass-and ceramic-matrix composites reinforced with carbon nanotubes (CNTs). The technique is based on high shear compaction of glass/ceramic and CNT blends in the presence of polymeric binders for the production of flexible green bodies which are subsequently sintered and densified by spark plasma sintering. The method was successfully applied on a borosilicate glass/multi-wall CNT composite with final density identical to that of the full-dense ceramic. Preliminary non-destructive evaluation of dynamic mechanical properties such as Young's and shear modulus and Poisson's ratio by ultrasonics show that property improvement maximizes up to a certain CNT loading; after this threshold is exceeded, properties degrade with further loading increase.
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- 2015
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16. Differential phase tracking applied to Bragg gratings in multicore fiber for high accuracy curvature measurement
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Geoffrey A. Cranch, Clay K. Kirkendall, Gordon M. H. Flockhart, Inaudi, D, Ecke, W, Culshaw, B, Peters, KJ, and Udd, E
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Interferometry ,Materials science ,Optics ,Fiber Bragg grating ,Fiber optic sensor ,business.industry ,TK ,Astronomical interferometer ,Grating ,Curvature ,business ,Diffraction grating ,Differential phase - Abstract
We report interferometric interrogation of fiber Bragg gratings in separate cores of a multicore fiber for high resolution quasi-static and dynamic bend measurements. Two axis curvature measurements are made by measuring the differential strain between three FBG sensors formed in a singlemode four-core fiber using a common interrogating interferometer. Therefore a measurement of the differential phase from each FBG yields the differential strain and compensates for the common-mode random drift of the interrogating interferometer. A DC curvature accuracy of 3.4 x 10(-3) m(-1), and an AC curvature resolution of 1.2 x 10(-4) m(-1)/Hz(1/2) are reported.
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- 2006
17. Upper Limit on the Photoproduction Cross Section of the Spin-Exotic π_{1}(1600).
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Afzal F, Akondi CS, Albrecht M, Amaryan M, Arrigo S, Arroyave V, Asaturyan A, Austregesilo A, Baldwin Z, Barbosa F, Barlow J, Barriga E, Barsotti R, Barton D, Baturin V, Berdnikov VV, Black T, Boeglin W, Boer M, Briscoe WJ, Britton T, Cao S, Chudakov E, Chung G, Cole PL, Cortes O, Crede V, Dalton MM, Darulis D, Deur A, Dobbs S, Dolgolenko A, Dugger M, Dzhygadlo R, Ebersole D, Edo M, Egiyan H, Erbora T, Eugenio P, Fabrizi A, Fanelli C, Fang S, Fitches J, Foda AM, Furletov S, Gan L, Gao H, Gardner A, Gasparian A, Glazier D, Gleason C, Goryachev VS, Grube B, Guo J, Guo L, Hernandez J, Hernandez K, Hoffman ND, Hornidge D, Hou G, Hurck P, Hurley A, Imoehl W, Ireland DG, Ito MM, Jaegle I, Jarvis NS, Jeske T, Jing M, Jones RT, Kakoyan V, Kalicy G, Khachatryan V, Kourkoumelis C, LaDuke A, Larin I, Lawrence D, Lersch DI, Li H, Liu B, Livingston K, Lolos GJ, Lorenti L, Lyubovitskij V, Ma R, Mack D, Mahmood A, Marukyan H, Matveev V, McCaughan M, McCracken M, Meyer CA, Miskimen R, Mitchell RE, Mizutani K, Neelamana V, Ng L, Nissen E, Orešić S, Ostrovidov AI, Papandreou Z, Paudel C, Pedroni R, Pentchev L, Peters KJ, Prather E, Rakshit S, Reinhold J, Remington A, Ritchie BG, Ritman J, Rodriguez G, Romanov D, Saldana K, Salgado C, Schadmand S, Schertz AM, Scheuer K, Schick A, Schmidt A, Schumacher RA, Schwiening J, Septian N, Sharp P, Shen X, Shepherd MR, Sikes J, Smith A, Smith ES, Sober DI, Somov A, Somov S, Stevens JR, Strakovsky II, Sumner B, Suresh K, Tarasov VV, Taylor S, Teymurazyan A, Thiel A, Viducic T, Whitlatch T, Wickramaarachchi N, Wunderlich Y, Yu B, Zarling J, Zhang Z, Zhou X, and Zihlmann B
- Abstract
The spin-exotic hybrid meson π_{1}(1600) is predicted to have a large decay rate to the ωππ final state. Using 76.6 pb^{-1} of data collected with the GlueX detector, we measure the cross sections for the reactions γp→ωπ^{+}π^{-}p, γp→ωπ^{0}π^{0}p, and γp→ωπ^{-}π^{0}Δ^{++} in the range E_{γ}=8-10 GeV. Using isospin conservation, we set the first upper limits on the photoproduction cross sections of the π_{1}^{0}(1600) and π_{1}^{-}(1600). We combine these limits with lattice calculations of decay widths and find that photoproduction of η^{'}π is the most sensitive two-body system to search for the π_{1}(1600).
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- 2024
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18. Tactile suppression is linked to movement onset for startle-triggered responses.
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Peters KJ, Daher E, and Carlsen AN
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The ability to perceive a tactile stimulus is reduced in a moving limb, a phenomenon known as tactile suppression. This sensory attenuation effect is attributed to movement-related gating, which allows the central nervous system to selectively process sensory information. However, the source of this gating is uncertain, with some evidence suggesting a forward-model origin of tactile suppression, and other evidence in support of backward masking from peripheral reafference. This study investigated the contribution of these mechanisms to tactile suppression by employing a startling acoustic stimulus (SAS) to involuntarily trigger the early release of a planned movement. A forward-model account would predict that the timing of the suppression would align with the anticipated time of voluntary response initiation, whereas a reafference account would predict that suppression timing would be linked directly to the actual time of the motor act. Participants (n = 27) performed a simple reaction time task involving a rapid wrist extension to release a switch in response to an auditory go-signal, which was occasionally replaced with a 120 dB SAS. On each trial, participants reported whether they detected a near-threshold electrical stimulus applied to the moving hand at various times (50-170ms; 30 ms steps) after the go-signal. Results showed a significantly lower detection rate on SAS trials at all stimulation times (p < .001), supporting the proposition that suppression does not depend on the predicted timing of voluntary initiation, but rather is linked to the production of the motor response. Furthermore, detection rate was significantly lower on SAS trials even when time-locked to movement onset, suggesting that the SAS may have further impeded sensory processing (p < .001)., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
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- 2024
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19. Visual perceptual processing is unaffected by cognitive fatigue.
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Peters KJ, Maslovat D, and Carlsen AN
- Subjects
- Humans, Reaction Time physiology, Task Performance and Analysis, Mental Fatigue psychology, Visual Perception physiology, Cognition physiology
- Abstract
Cognitive fatigue (CF) can lead to an increase in the latency of simple reaction time, although the processes involved in this delay are unknown. One potential explanation is that a longer time may be required for sensory processing of relevant stimuli. To investigate this possibility, the current study used a visual inspection time task to measure perceptual processing speed before and after a CF (math and memory) or non-fatiguing (documentary film) intervention. Subjective fatigue and simple reaction time significantly increased following the CF, but not the non-fatiguing intervention, confirming that CF was induced. Conversely, there was no effect of CF on inspection time task performance. It was therefore concluded that the speed of perceptual processing is not significantly impacted by CF, and thus is unlikely to underlie CF-related reaction time increases. Instead, increases in simple reaction time latency in CF may be due to delays in response preparation or initiation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
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20. Author Correction: Universal DNA methylation age across mammalian tissues.
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Lu AT, Fei Z, Haghani A, Robeck TR, Zoller JA, Li CZ, Lowe R, Yan Q, Zhang J, Vu H, Ablaeva J, Acosta-Rodriguez VA, Adams DM, Almunia J, Aloysius A, Ardehali R, Arneson A, Baker CS, Banks G, Belov K, Bennett NC, Black P, Blumstein DT, Bors EK, Breeze CE, Brooke RT, Brown JL, Carter GG, Caulton A, Cavin JM, Chakrabarti L, Chatzistamou I, Chen H, Cheng K, Chiavellini P, Choi OW, Clarke SM, Cooper LN, Cossette ML, Day J, DeYoung J, DiRocco S, Dold C, Ehmke EE, Emmons CK, Emmrich S, Erbay E, Erlacher-Reid C, Faulkes CG, Ferguson SH, Finno CJ, Flower JE, Gaillard JM, Garde E, Gerber L, Gladyshev VN, Gorbunova V, Goya RG, Grant MJ, Green CB, Hales EN, Hanson MB, Hart DW, Haulena M, Herrick K, Hogan AN, Hogg CJ, Hore TA, Huang T, Izpisua Belmonte JC, Jasinska AJ, Jones G, Jourdain E, Kashpur O, Katcher H, Katsumata E, Kaza V, Kiaris H, Kobor MS, Kordowitzki P, Koski WR, Krützen M, Kwon SB, Larison B, Lee SG, Lehmann M, Lemaitre JF, Levine AJ, Li C, Li X, Lim AR, Lin DTS, Lindemann DM, Little TJ, Macoretta N, Maddox D, Matkin CO, Mattison JA, McClure M, Mergl J, Meudt JJ, Montano GA, Mozhui K, Munshi-South J, Naderi A, Nagy M, Narayan P, Nathanielsz PW, Nguyen NB, Niehrs C, O'Brien JK, O'Tierney Ginn P, Odom DT, Ophir AG, Osborn S, Ostrander EA, Parsons KM, Paul KC, Pellegrini M, Peters KJ, Pedersen AB, Petersen JL, Pietersen DW, Pinho GM, Plassais J, Poganik JR, Prado NA, Reddy P, Rey B, Ritz BR, Robbins J, Rodriguez M, Russell J, Rydkina E, Sailer LL, Salmon AB, Sanghavi A, Schachtschneider KM, Schmitt D, Schmitt T, Schomacher L, Schook LB, Sears KE, Seifert AW, Seluanov A, Shafer ABA, Shanmuganayagam D, Shindyapina AV, Simmons M, Singh K, Sinha I, Slone J, Snell RG, Soltanmaohammadi E, Spangler ML, Spriggs MC, Staggs L, Stedman N, Steinman KJ, Stewart DT, Sugrue VJ, Szladovits B, Takahashi JS, Takasugi M, Teeling EC, Thompson MJ, Van Bonn B, Vernes SC, Villar D, Vinters HV, Wallingford MC, Wang N, Wayne RK, Wilkinson GS, Williams CK, Williams RW, Yang XW, Yao M, Young BG, Zhang B, Zhang Z, Zhao P, Zhao Y, Zhou W, Zimmermann J, Ernst J, Raj K, and Horvath S
- Published
- 2023
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21. Universal DNA methylation age across mammalian tissues.
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Lu AT, Fei Z, Haghani A, Robeck TR, Zoller JA, Li CZ, Lowe R, Yan Q, Zhang J, Vu H, Ablaeva J, Acosta-Rodriguez VA, Adams DM, Almunia J, Aloysius A, Ardehali R, Arneson A, Baker CS, Banks G, Belov K, Bennett NC, Black P, Blumstein DT, Bors EK, Breeze CE, Brooke RT, Brown JL, Carter GG, Caulton A, Cavin JM, Chakrabarti L, Chatzistamou I, Chen H, Cheng K, Chiavellini P, Choi OW, Clarke SM, Cooper LN, Cossette ML, Day J, DeYoung J, DiRocco S, Dold C, Ehmke EE, Emmons CK, Emmrich S, Erbay E, Erlacher-Reid C, Faulkes CG, Ferguson SH, Finno CJ, Flower JE, Gaillard JM, Garde E, Gerber L, Gladyshev VN, Gorbunova V, Goya RG, Grant MJ, Green CB, Hales EN, Hanson MB, Hart DW, Haulena M, Herrick K, Hogan AN, Hogg CJ, Hore TA, Huang T, Izpisua Belmonte JC, Jasinska AJ, Jones G, Jourdain E, Kashpur O, Katcher H, Katsumata E, Kaza V, Kiaris H, Kobor MS, Kordowitzki P, Koski WR, Krützen M, Kwon SB, Larison B, Lee SG, Lehmann M, Lemaitre JF, Levine AJ, Li C, Li X, Lim AR, Lin DTS, Lindemann DM, Little TJ, Macoretta N, Maddox D, Matkin CO, Mattison JA, McClure M, Mergl J, Meudt JJ, Montano GA, Mozhui K, Munshi-South J, Naderi A, Nagy M, Narayan P, Nathanielsz PW, Nguyen NB, Niehrs C, O'Brien JK, O'Tierney Ginn P, Odom DT, Ophir AG, Osborn S, Ostrander EA, Parsons KM, Paul KC, Pellegrini M, Peters KJ, Pedersen AB, Petersen JL, Pietersen DW, Pinho GM, Plassais J, Poganik JR, Prado NA, Reddy P, Rey B, Ritz BR, Robbins J, Rodriguez M, Russell J, Rydkina E, Sailer LL, Salmon AB, Sanghavi A, Schachtschneider KM, Schmitt D, Schmitt T, Schomacher L, Schook LB, Sears KE, Seifert AW, Seluanov A, Shafer ABA, Shanmuganayagam D, Shindyapina AV, Simmons M, Singh K, Sinha I, Slone J, Snell RG, Soltanmaohammadi E, Spangler ML, Spriggs MC, Staggs L, Stedman N, Steinman KJ, Stewart DT, Sugrue VJ, Szladovits B, Takahashi JS, Takasugi M, Teeling EC, Thompson MJ, Van Bonn B, Vernes SC, Villar D, Vinters HV, Wallingford MC, Wang N, Wayne RK, Wilkinson GS, Williams CK, Williams RW, Yang XW, Yao M, Young BG, Zhang B, Zhang Z, Zhao P, Zhao Y, Zhou W, Zimmermann J, Ernst J, Raj K, and Horvath S
- Subjects
- Humans, Mice, Animals, Aging genetics, Longevity genetics, Mammals genetics, DNA Methylation genetics, Epigenesis, Genetic
- Abstract
Aging, often considered a result of random cellular damage, can be accurately estimated using DNA methylation profiles, the foundation of pan-tissue epigenetic clocks. Here, we demonstrate the development of universal pan-mammalian clocks, using 11,754 methylation arrays from our Mammalian Methylation Consortium, which encompass 59 tissue types across 185 mammalian species. These predictive models estimate mammalian tissue age with high accuracy (r > 0.96). Age deviations correlate with human mortality risk, mouse somatotropic axis mutations and caloric restriction. We identified specific cytosines with methylation levels that change with age across numerous species. These sites, highly enriched in polycomb repressive complex 2-binding locations, are near genes implicated in mammalian development, cancer, obesity and longevity. Our findings offer new evidence suggesting that aging is evolutionarily conserved and intertwined with developmental processes across all mammals., (© 2023. The Author(s).)
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- 2023
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22. DNA methylation networks underlying mammalian traits.
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Haghani A, Li CZ, Robeck TR, Zhang J, Lu AT, Ablaeva J, Acosta-Rodríguez VA, Adams DM, Alagaili AN, Almunia J, Aloysius A, Amor NMS, Ardehali R, Arneson A, Baker CS, Banks G, Belov K, Bennett NC, Black P, Blumstein DT, Bors EK, Breeze CE, Brooke RT, Brown JL, Carter G, Caulton A, Cavin JM, Chakrabarti L, Chatzistamou I, Chavez AS, Chen H, Cheng K, Chiavellini P, Choi OW, Clarke S, Cook JA, Cooper LN, Cossette ML, Day J, DeYoung J, Dirocco S, Dold C, Dunnum JL, Ehmke EE, Emmons CK, Emmrich S, Erbay E, Erlacher-Reid C, Faulkes CG, Fei Z, Ferguson SH, Finno CJ, Flower JE, Gaillard JM, Garde E, Gerber L, Gladyshev VN, Goya RG, Grant MJ, Green CB, Hanson MB, Hart DW, Haulena M, Herrick K, Hogan AN, Hogg CJ, Hore TA, Huang T, Izpisua Belmonte JC, Jasinska AJ, Jones G, Jourdain E, Kashpur O, Katcher H, Katsumata E, Kaza V, Kiaris H, Kobor MS, Kordowitzki P, Koski WR, Krützen M, Kwon SB, Larison B, Lee SG, Lehmann M, Lemaître JF, Levine AJ, Li X, Li C, Lim AR, Lin DTS, Lindemann DM, Liphardt SW, Little TJ, Macoretta N, Maddox D, Matkin CO, Mattison JA, McClure M, Mergl J, Meudt JJ, Montano GA, Mozhui K, Munshi-South J, Murphy WJ, Naderi A, Nagy M, Narayan P, Nathanielsz PW, Nguyen NB, Niehrs C, Nyamsuren B, O'Brien JK, Ginn PO, Odom DT, Ophir AG, Osborn S, Ostrander EA, Parsons KM, Paul KC, Pedersen AB, Pellegrini M, Peters KJ, Petersen JL, Pietersen DW, Pinho GM, Plassais J, Poganik JR, Prado NA, Reddy P, Rey B, Ritz BR, Robbins J, Rodriguez M, Russell J, Rydkina E, Sailer LL, Salmon AB, Sanghavi A, Schachtschneider KM, Schmitt D, Schmitt T, Schomacher L, Schook LB, Sears KE, Seifert AW, Shafer ABA, Shindyapina AV, Simmons M, Singh K, Sinha I, Slone J, Snell RG, Soltanmohammadi E, Spangler ML, Spriggs M, Staggs L, Stedman N, Steinman KJ, Stewart DT, Sugrue VJ, Szladovits B, Takahashi JS, Takasugi M, Teeling EC, Thompson MJ, Van Bonn B, Vernes SC, Villar D, Vinters HV, Vu H, Wallingford MC, Wang N, Wilkinson GS, Williams RW, Yan Q, Yao M, Young BG, Zhang B, Zhang Z, Zhao Y, Zhao P, Zhou W, Zoller JA, Ernst J, Seluanov A, Gorbunova V, Yang XW, Raj K, and Horvath S
- Subjects
- Adult, Animals, Humans, Epigenome, Genome, Phylogeny, DNA Methylation, Epigenesis, Genetic, Mammals genetics
- Abstract
Using DNA methylation profiles ( n = 15,456) from 348 mammalian species, we constructed phyloepigenetic trees that bear marked similarities to traditional phylogenetic ones. Using unsupervised clustering across all samples, we identified 55 distinct cytosine modules, of which 30 are related to traits such as maximum life span, adult weight, age, sex, and human mortality risk. Maximum life span is associated with methylation levels in HOXL subclass homeobox genes and developmental processes and is potentially regulated by pluripotency transcription factors. The methylation state of some modules responds to perturbations such as caloric restriction, ablation of growth hormone receptors, consumption of high-fat diets, and expression of Yamanaka factors. This study reveals an intertwined evolution of the genome and epigenome that mediates the biological characteristics and traits of different mammalian species.
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- 2023
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23. Low-dose intrapulmonary drug delivery device for studies on next-generation therapeutics in mice.
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Gracioso Martins AM, Snider DB, Popowski KD, Schuchard KG, Tenorio M, Akunuri S, Wee J, Peters KJ, Jansson A, Shirwaiker R, Cheng K, Freytes DO, and Cruse GP
- Subjects
- Humans, Animals, Mice, Aerosols, Administration, Inhalation, Drug Delivery Systems methods, Equipment Design, Nebulizers and Vaporizers, Lung
- Abstract
Although nebulizers have been developed for delivery of small molecules in human patients, no tunable device has been purpose-built for targeted delivery of modern large molecule and temperature-sensitive therapeutics to mice. Mice are used most of all species in biomedical research and have the highest number of induced models for human-relevant diseases and transgene models. Regulatory approval of large molecule therapeutics, including antibody therapies and modified RNA highlight the need for quantifiable dose delivery in mice to model human delivery, proof-of-concept studies, efficacy, and dose-response. To this end, we developed and characterized a tunable nebulization system composed of an ultrasonic transducer equipped with a mesh nebulizer fitted with a silicone restrictor plate modification to control the nebulization rate. We have identified the elements of design that influence the most critical factors to targeted delivery to the deep lungs of BALB/c mice. By comparing an in silico model of the mouse lung with experimental data, we were able to optimize and confirm the targeted delivery of over 99% of the initial volume to the deep portions of the mouse lung. The resulting nebulizer system provides targeted lung delivery efficiency far exceeding conventional nebulizers preventing waste of expensive biologics and large molecules during proof-of-concept and pre-clinical experiments involving mice. (Word Count =207)., Competing Interests: Declaration of Competing Interest This study was not funded by Hoth Therapeutics. However, G.C. has research support from Hoth Therapeutics for a project unrelated to the research reported in this publication and also serves on their Scientific Advisory Board. The terms of this arrangement have been reviewed and approved by NC State University in accordance with its policy on objectivity in research. The remaining authors declare no conflicts of interest., (Copyright © 2023 Elsevier B.V. All rights reserved.)
- Published
- 2023
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24. Incidence of shark-inflicted bite injuries on Australian snubfin ( Orcaella heinsohni ) and Australian humpback ( Sousa sahulensis ) dolphins in coastal waters off east Queensland, Australia.
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Nicholls CR, Peters KJ, Cagnazzi D, Hanf D, and Parra GJ
- Abstract
The ecology and evolution of prey populations are influenced by predation and predation risk. Our understanding of predator-prey relationships between sharks and dolphins is incomplete due to the difficulties in observing predatory events directly. Shark-inflicted wounds are often seen on dolphin bodies, which can provide an indirect measure of predation pressure. We used photographs of Australian humpback and snubfin dolphins from north, central, and south Queensland to assess the incidence of shark-inflicted bite injuries and to examine interspecific differences in bite injuries and their relationship with group sizes, habitat features, and geographical locations characteristic of where these individuals occurred. The incidence of shark-inflicted scarring did not differ between species ( χ
2 = 0.133, df = 1, p = .715), with 33.3% of snubfin and 24.1% of humpback dolphins showing evidence of shark bites when data were pooled across all three study sites. Generalized additive models indicated that dolphins closer to the coast, with greater photographic coverage, and in north Queensland were more likely to have a shark-inflicted bite injury. The similar incidence of shark-inflicted wounds found on snubfin and humpback dolphins suggests both are subject to comparable predation pressure from sharks in the study region. Results highlight the importance that habitat features such as distance to the coast and geographical location could have in predation risk of dolphins from sharks, as well as the importance of considering photographic coverage when assessing the incidence of shark-inflicted bites on dolphins or other marine animals. This study serves as a baseline for future studies on shark-dolphin interactions in Queensland and into how predation may influence dolphin habitat usage, group living, and behavior., Competing Interests: The authors declare no conflicts of interest., (© 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)- Published
- 2023
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25. An epigenetic DNA methylation clock for age estimates in Indo-Pacific bottlenose dolphins ( Tursiops aduncus ).
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Peters KJ, Gerber L, Scheu L, Cicciarella R, Zoller JA, Fei Z, Horvath S, Allen SJ, King SL, Connor RC, Rollins LA, and Krützen M
- Abstract
Knowledge of an animal's chronological age is crucial for understanding and predicting population demographics, survival and reproduction, but accurate age determination for many wild animals remains challenging. Previous methods to estimate age require invasive procedures, such as tooth extraction to analyse growth layers, which are difficult to carry out with large, mobile animals such as cetaceans. However, recent advances in epigenetic methods have opened new avenues for precise age determination. These 'epigenetic clocks' present a less invasive alternative and can provide age estimates with unprecedented accuracy. Here, we present a species-specific epigenetic clock based on skin tissue samples for a population of Indo-Pacific bottlenose dolphins ( Tursiops aduncus ) in Shark Bay, Western Australia. We measured methylation levels at 37,492 cytosine-guanine sites (CpG sites) in 165 samples using the mammalian methylation array. Chronological age estimates with an accuracy of ±1 year were available for 68 animals as part of a long-term behavioral study of this population. Using these samples with known age, we built an elastic net model with Leave-One-Out-Cross-Validation, which retained 43 CpG sites, providing an r = 0.86 and median absolute age error (MAE) = 2.1 years (5% of maximum age). This model was more accurate for our data than the previously published methylation clock based on skin samples of common bottlenose dolphins ( T. truncatus : r = 0.83, MAE = 2.2) and the multi-species odontocete methylation clock ( r = 0.68, MAE = 6.8), highlighting that species-specific clocks can have superior performance over those of multi-species assemblages. We further developed an epigenetic sex estimator, predicting sex with 100% accuracy. As age and sex are critical parameters for the study of animal populations, this clock and sex estimator will provide a useful tool for extracting life history information from skin samples rather than long-term observational data for free-ranging Indo-Pacific bottlenose dolphins worldwide., Competing Interests: SH is a founder of the non‐profit Epigenetic Clock Development Foundation, which plans to license several of his patents from his employer UC Regents. The other authors declare no conflicts of interest., (© 2022 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.)
- Published
- 2022
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26. Dredging activity in a highly urbanised estuary did not affect the long-term occurrence of Indo-Pacific bottlenose dolphins and long-nosed fur seals.
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Bossley MI, Steiner A, Parra GJ, Saltré F, and Peters KJ
- Subjects
- Animals, Estuaries, Ecosystem, Cetacea, Bottle-Nosed Dolphin, Fur Seals, Seals, Earless
- Abstract
Dredging is an excavation activity used worldwide in marine and freshwater environments to create, deepen, and maintain waterways, harbours, channels, locks, docks, berths, river entrances, and approaches to ports and boat ramps. However, dredging impacts on marine life, including marine mammals (cetaceans, pinnipeds, and sirenians), remain largely unknown. Here we quantified the effect of dredging operations in 2005 and 2019 on the occurrence of Indo-Pacific bottlenose dolphins (Tursiops aduncus) and long-nosed fur seals (Arctocephalus forsteri) in the Port River estuary, a highly urbanized estuary in Adelaide, South Australia. We applied generalised linear models to two long-term sighting datasets (dolphins: 1992-2020, fur seals: 2010-2020), to analyse changes in sighting rates as a function of dredging operations, season, rainfall, and sea surface temperature. We showed that the fluctuations in both dolphin and fur seal occurrences were not correlated with dredging operations, whereas sea surface temperature and season were stronger predictors of both species sighting rates (with seals more prevalent during the colder months, and dolphins in summer). Given the highly industrial environment of the Port River estuary, it is possible that animals in this area are habituated to high noise levels and therefore were not disturbed by dredging operations. Future research would benefit from analysing short-term effects of dredging operations on behaviour, movement patterns and habitat use to determine effects of possible habitat alteration caused by dredging., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Mike Bossley reports financial support for part of this study was provided by Flinders Ports. However, Flinders Ports had no involvement in analysis and manuscript writing., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2022
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27. Slowed reaction times in cognitive fatigue are not attributable to declines in motor preparation.
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Peters KJ, Maslovat D, and Carlsen AN
- Subjects
- Humans, Reaction Time, Electromyography, Acoustic Stimulation methods, Cognition, Reflex, Startle, Movement
- Abstract
Cognitive fatigue (CF) can result from sustained mental effort, is characterized by subjective feelings of exhaustion and cognitive performance deficits, and is associated with slowed simple reaction time (RT). This study determined whether declines in motor preparation underlie this RT effect. Motor preparation level was indexed using simple RT and the StartReact effect, wherein a prepared movement is involuntarily triggered at short latency by a startling acoustic stimulus (SAS). It was predicted that if decreased motor preparation underlies CF-associated RT increases, then an attenuated StartReact effect would be observed following cognitive task completion. Subjective fatigue assessment and a simple RT task were performed before and after a cognitively fatiguing task or non-fatiguing control intervention. On 25% of RT trials, a SAS replaced the go-signal to assess the StartReact effect. CF inducement was verified by significant declines in cognitive performance (p = 0.003), along with increases in subjective CF (p < 0.001) and control RT (p = 0.018) following the cognitive fatigue intervention, but not the control intervention. No significant pre-to-post-test changes in SAS RT were observed, indicating that RT increases resulting from CF are not substantially associated with declines in motor preparation, and instead may be attributable to other stages of processing during a simple RT task., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2022
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28. Isotopic Niche Analysis of Long-Finned Pilot Whales ( Globicephala melas edwardii ) in Aotearoa New Zealand Waters.
- Author
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Hinton B, Stockin KA, Bury SJ, Peters KJ, and Betty EL
- Abstract
The quantification of a species' trophic niche is important to understand the species ecology and its interactions with the ecosystem it resides in. Despite the high frequency of long-finned pilot whale ( Globicephala melas edwardii ) strandings on the Aotearoa New Zealand coast, their trophic niche remains poorly understood. To assess the isotopic niche of G. m. edwardii within New Zealand, ontogenetic (sex, total body length, age, maturity status, reproductive group) and spatiotemporal (stranding location, stranding event, and stranding year) variation were investigated. Stable isotopes of carbon ( δ
13 C) and nitrogen ( δ15 N) were examined from skin samples of 125 G. m. edwardii (67 females and 58 males) collected at mass-stranding events at Onetahua Farewell Spit in 2009 ( n = 20), 2011 ( n = 20), 2014 ( n = 27) and 2017 ( n = 20) and at Rakiura Stewart Island in 2010 ( n = 19) and 2011 ( n = 19). Variations in δ34 S values were examined for a subset of 36 individuals. General additive models revealed that stranding event was the strongest predictor for δ13 C and δ15 N values, whilst sex was the strongest predictor of δ34 S isotopic values. Although similar within years, δ13 C values were lower in 2014 and 2017 compared to all other years. Furthermore, δ15 N values were higher within Farewell Spit 2017 compared to any other stranding event. This suggests that the individuals stranded in Farewell Spit in 2017 may have been feeding at a higher trophic level, or that the nitrogen baseline may have been higher in 2017 than in other years. Spatiotemporal differences explained isotopic variation of G. m. edwardii in New Zealand waters better than ontogenetic factors.- Published
- 2022
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29. Too Close for Comfort? Isotopic Niche Segregation in New Zealand's Odontocetes.
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Peters KJ, Bury SJ, Hinton B, Betty EL, Casano-Bally D, Parra GJ, and Stockin KA
- Abstract
Species occurring in sympatry and relying on similar and limited resources may partition resource use to avoid overlap and interspecific competition. Aotearoa, New Zealand hosts an extraordinarily rich marine megafauna, including 50% of the world's cetacean species. In this study, we used carbon and nitrogen stable isotopes as ecological tracers to investigate isotopic niche overlap between 21 odontocete (toothed whale) species inhabiting neritic, mesopelagic, and bathypelagic waters. Results showed a clear niche separation for the bathypelagic Gray's beaked whales ( Mesoplodon grayi ) and sperm whales ( Physeter macrocephalus ), but high isotopic niche overlap and potential interspecific competition for neritic and mesopelagic species. For these species, competition could be reduced via temporal or finer-scale spatial segregation or differences in foraging behaviour. This study represents the first insights into the coexistence of odontocetes in a biodiverse hotspot. The data presented here provide a critical baseline to a system already ongoing ecosystem change via ocean warming and subsequent effects on prey abundance and distributions.
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- 2022
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30. Retrospective composite analysis of StartReact data indicates sex differences in simple reaction time are not attributable to response preparation.
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Sadler CM, Peters KJ, Santangelo CM, Maslovat D, and Carlsen AN
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- Acoustic Stimulation methods, Electromyography, Female, Humans, Male, Movement physiology, Muscle, Skeletal physiology, Reaction Time physiology, Retrospective Studies, Reflex, Startle physiology, Sex Characteristics
- Abstract
Simple reaction time (RT) can vary by sex, with males generally displaying faster RTs than females. Although several explanations have been offered, the possibility that response preparation differences may underlie the effect of sex on simple RT has not yet been explored. A startling acoustic stimulus (SAS) can involuntarily trigger a prepared motor response (i.e., StartReact effect), and as such, RT latencies on SAS trials and the proportion of these trials demonstrating startle-reflex EMG in the sternocleidomastoid (SCM) muscle are used as indirect measures of response preparation. The present study employed a retrospective analysis of composite individual participant data (IPD) from 25 datasets published between 2006 and 2019 to examine sex differences in response preparation. Linear mixed effects models assessed the effect of sex on control and SAS RT as well as the proportion of SAS trials with SCM activation while controlling for study design. Results indicated significantly longer control RT in female participants as compared to males (p = .017); however, there were no significant sex differences in SAS RT (p = .441) or the proportion of trials with startle reflex activity (p = .242). These results suggest that sex differences in simple RT are not explained by variations in levels of response preparation but instead may be the result of differences in perceptual processing and/or response initiation processes., (Copyright © 2022 Elsevier B.V. All rights reserved.)
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- 2022
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31. Isotopic niche overlap between sympatric Australian snubfin and humpback dolphins.
- Author
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Parra GJ, Wojtkowiak Z, Peters KJ, and Cagnazzi D
- Abstract
Ecological niche theory predicts the coexistence of closely related species is promoted by resource partitioning in space and time. Australian snubfin ( Orcaella heinsohni ) and humpback ( Sousa sahulensis ) dolphins live in sympatry throughout most of their range in northern Australian waters. We compared stable isotope ratios of carbon (δ
13 C) and nitrogen (δ15 N) in their skin to investigate resource partitioning between these ecologically similar species. Skin samples were collected from live Australian snubfin ( n = 31) and humpback dolphins ( n = 23) along the east coast of Queensland in 2014-2015. Both species had similar δ13 C and δ15 N values and high (>50%) isotopic niche space overlap, suggesting that they feed at similar trophic levels, have substantial dietary overlap, and rely on similar basal food resources. Despite similarities, snubfin dolphins were more likely to have a larger δ15 N value than humpback dolphins, indicating they may forage on a wider diversity of prey. Humpback dolphins were more likely to have a larger δ13 C range suggesting they may forage on a wider range of habitats. Overall, results suggest that subtle differences in habitat use and prey selection are likely the principal resource partitioning mechanisms enabling the coexistence of Australian snubfin and humpback dolphins., Competing Interests: The authors declare no conflicts of interest in this study., (© 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)- Published
- 2022
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32. Addendum: FosSahul 2.0, an updated database for the Late Quaternary fossil records of Sahul.
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Peters KJ, Saltré F, Friedrich T, Jacobs Z, Wood R, McDowell M, Ulm S, and Bradshaw CJA
- Published
- 2021
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33. What Is Genitourinary Syndrome of Menopause and Why Should We Care?
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Peters KJ
- Subjects
- Atrophy, Female, Humans, Syndrome, Female Urogenital Diseases etiology, Menopause, Vaginal Diseases
- Abstract
None: Genitourinary syndrome of menopause (GSM; previously known as vulvovaginal atrophy or atrophic vaginitis) involves symptoms of vaginal dryness, burning, and itching as well as dyspareunia, dysuria, urinary urgency, and recurrent urinary tract infections. It is estimated that nearly 60% of women in menopause experience GSM but the majority of these women do not bring up this concern with their health care provider. Studies also show that only 7% of health care providers ask women about this condition. This may be due to embarrassment or thinking this is a normal part of aging, both by patients and health care providers. This condition is progressive and may affect many aspects of a woman's physical, emotional, and sexual health. This article is intended to address the signs, symptoms, and significant impact this condition can have for women and help health care providers be more comfortable knowing how to ask about GSM, diagnosis it, and review the various treatment options that are available., (Copyright © 2021 The Permanente Press. All rights reserved.)
- Published
- 2021
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34. Evidence for rapid downward fecundity selection in an ectoparasite (Philornis downsi) with earlier host mortality in Darwin's finches.
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Common LK, O'Connor JA, Dudaniec RY, Peters KJ, and Kleindorfer S
- Subjects
- Animals, Body Size, Female, Male, Fertility genetics, Finches parasitology, Host-Parasite Interactions, Muscidae genetics, Selection, Genetic
- Abstract
Fecundity selection is a critical component of fitness and a major driver of adaptive evolution. Trade-offs between parasite mortality and host resources are likely to impose a selection pressure on parasite fecundity, but this is little studied in natural systems. The 'fecundity advantage hypothesis' predicts female-biased sexual size dimorphism whereby larger females produce more offspring. Parasitic insects are useful for exploring the interplay between host resource availability and parasite fecundity, because female body size is a reliable proxy for fecundity in insects. Here we explore temporal changes in body size in the myiasis-causing parasite Philornis downsi (Diptera: Muscidae) on the Galápagos Islands under conditions of earlier in-nest host mortality. We aim to investigate the effects of decreasing host resources on parasite body size and fecundity. Across a 12-year period, we observed a mean of c. 17% P. downsi mortality in host nests with 55 ± 6.2% host mortality and a trend of c. 66% higher host mortality throughout the study period. Using specimens from 116 Darwin's finch nests (Passeriformes: Thraupidae) and 114 traps, we found that over time, P. downsi pupae mass decreased by c. 32%, and male (c. 6%) and female adult size (c. 11%) decreased. Notably, females had c. 26% smaller abdomens in later years, and female abdomen size was correlated with number of eggs. Our findings imply natural selection for faster P. downsi pupation and consequently smaller body size and lower parasite fecundity in this newly evolving host-parasite system., (© 2020 The Authors. Journal of Evolutionary Biology published by John Wiley & Sons Ltd on behalf of European Society for Evolutionary Biology.)
- Published
- 2020
- Full Text
- View/download PDF
35. Climate-human interaction associated with southeast Australian megafauna extinction patterns.
- Author
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Saltré F, Chadoeuf J, Peters KJ, McDowell MC, Friedrich T, Timmermann A, Ulm S, and Bradshaw CJA
- Subjects
- Animals, Archaeology, Australia, Humans, Paleontology, Spatial Analysis, Biodiversity, Climate Change, Drinking Water, Ecosystem, Extinction, Biological, Human Migration
- Abstract
The mechanisms leading to megafauna (>44 kg) extinctions in Late Pleistocene (126,000-12,000 years ago) Australia are highly contested because standard chronological analyses rely on scarce data of varying quality and ignore spatial complexity. Relevant archaeological and palaeontological records are most often also biased by differential preservation resulting in under-representated older events. Chronological analyses have attributed megafaunal extinctions to climate change, humans, or a combination of the two, but rarely consider spatial variation in extinction patterns, initial human appearance trajectories, and palaeoclimate change together. Here we develop a statistical approach to infer spatio-temporal trajectories of megafauna extirpations (local extinctions) and initial human appearance in south-eastern Australia. We identify a combined climate-human effect on regional extirpation patterns suggesting that small, mobile Aboriginal populations potentially needed access to drinkable water to survive arid ecosystems, but were simultaneously constrained by climate-dependent net landscape primary productivity. Thus, the co-drivers of megafauna extirpations were themselves constrained by the spatial distribution of climate-dependent water sources.
- Published
- 2019
- Full Text
- View/download PDF
36. FosSahul 2.0, an updated database for the Late Quaternary fossil records of Sahul.
- Author
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Peters KJ, Saltré F, Friedrich T, Jacobs Z, Wood R, McDowell M, Ulm S, and Bradshaw CJA
- Subjects
- Animals, Australia, Databases, Factual, Fossils, Vertebrates
- Abstract
The 2016 version of the FosSahul database compiled non-human vertebrate megafauna fossil ages from Sahul published up to 2013 in a standardized format. Its purpose was to create a publicly available, centralized, and comprehensive database for palaeoecological investigations of the continent. Such databases require regular updates and improvements to reflect recent scientific findings. Here we present an updated FosSahul (2.0) containing 11,871 dated non-human vertebrate fossil records from the Late Quaternary published up to 2018. Furthermore, we have extended the information captured in the database to include methodological details and have developed an algorithm to automate the quality-rating process. The algorithm makes the quality-rating more transparent and easier to reproduce, facilitating future database extensions and dissemination. FosSahul has already enabled several palaeoecological analyses, and its updated version will continue to provide a centralized organisation of Sahul's fossil records. As an example of an application of the database, we present the temporal pattern in megafauna genus richness inferred from available data in relation to palaeoclimate indices over the past 180,000 years.
- Published
- 2019
- Full Text
- View/download PDF
37. First Measurement of Near-Threshold J/ψ Exclusive Photoproduction off the Proton.
- Author
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Ali A, Amaryan M, Anassontzis EG, Austregesilo A, Baalouch M, Barbosa F, Barlow J, Barnes A, Barriga E, Beattie TD, Berdnikov VV, Black T, Boeglin W, Boer M, Briscoe WJ, Britton T, Brooks WK, Cannon BE, Cao N, Chudakov E, Cole S, Cortes O, Crede V, Dalton MM, Daniels T, Deur A, Dobbs S, Dolgolenko A, Dotel R, Dugger M, Dzhygadlo R, Egiyan H, Ernst A, Eugenio P, Fanelli C, Fegan S, Foda AM, Foote J, Frye J, Furletov S, Gan L, Gasparian A, Gauzshtein V, Gevorgyan N, Gleason C, Goetzen K, Goncalves A, Goryachev VS, Guo L, Hakobyan H, Hamdi A, Han S, Hardin J, Huber GM, Hurley A, Ireland DG, Ito MM, Jarvis NS, Jones RT, Kakoyan V, Kalicy G, Kamel M, Kourkoumelis C, Kuleshov S, Kuznetsov I, Larin I, Lawrence D, Lersch DI, Li H, Li W, Liu B, Livingston K, Lolos GJ, Lyubovitskij V, Mack D, Marukyan H, Matveev V, McCaughan M, McCracken M, McGinley W, McIntyre J, Meyer CA, Miskimen R, Mitchell RE, Mokaya F, Nerling F, Ng L, Ostrovidov AI, Papandreou Z, Patsyuk M, Pauli P, Pedroni R, Pentchev L, Peters KJ, Phelps W, Pooser E, Qin N, Reinhold J, Ritchie BG, Robison L, Romanov D, Romero C, Salgado C, Schertz AM, Schumacher RA, Schwiening J, Seth KK, Shen X, Shepherd MR, Smith ES, Sober DI, Somov A, Somov S, Soto O, Stevens JR, Strakovsky II, Suresh K, Tarasov V, Taylor S, Teymurazyan A, Thiel A, Vasileiadis G, Werthmüller D, Whitlatch T, Wickramaarachchi N, Williams M, Xiao T, Yang Y, Zarling J, Zhang Z, Zhao G, Zhou Q, Zhou X, and Zihlmann B
- Abstract
We report on the measurement of the γp→J/ψp cross section from E_{γ}=11.8 GeV down to the threshold at 8.2 GeV using a tagged photon beam with the GlueX experiment. We find that the total cross section falls toward the threshold less steeply than expected from two-gluon exchange models. The differential cross section dσ/dt has an exponential slope of 1.67±0.39 GeV^{-2} at 10.7 GeV average energy. The LHCb pentaquark candidates P_{c}^{+} can be produced in the s channel of this reaction. We see no evidence for them and set model-dependent upper limits on their branching fractions B(P_{c}^{+}→J/ψp) and cross sections σ(γp→P_{c}^{+})×B(P_{c}^{+}→J/ψp).
- Published
- 2019
- Full Text
- View/download PDF
38. Introduced parasite changes host phenotype, mating signal and hybridization risk: Philornis downsi effects on Darwin's finch song.
- Author
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Kleindorfer S, Custance G, Peters KJ, and Sulloway FJ
- Subjects
- Animals, Biological Evolution, Ecuador, Finches anatomy & histology, Finches physiology, Hybridization, Genetic, Larva, Phenotype, Species Specificity, Animal Communication, Finches parasitology, Mating Preference, Animal, Muscidae physiology
- Abstract
Introduced parasites that alter their host's mating signal can change the evolutionary trajectory of a species through sexual selection. Darwin's Camarhynchus finches are threatened by the introduced fly Philornis downsi that is thought to have accidentally arrived on the Galapagos Islands during the 1960s. The P. downsi larvae feed on the blood and tissue of developing finches, causing on average approximately 55% in-nest mortality and enlarged naris size in survivors. Here we test if enlarged naris size is associated with song characteristics and vocal deviation in the small tree finch ( Camarhynchus parvulus), the critically endangered medium tree finch ( C. pauper) and the recently observed hybrid tree finch group ( Camarhynchus hybrids). Male C. parvulus and C. pauper with enlarged naris size produced song with lower maximum frequency and greater vocal deviation, but there was no significant association in hybrids. Less vocal deviation predicted faster pairing success in both parental species. Finally, C. pauper males with normal naris size produced species-specific song, but male C. pauper with enlarged naris size had song that was indistinguishable from other tree finches. When parasites disrupt host mating signal, they may also facilitate hybridization. Here we show how parasite-induced naris enlargement affects vocal quality, resulting in blurred species mating signals.
- Published
- 2019
- Full Text
- View/download PDF
39. Abundance estimates and habitat preferences of bottlenose dolphins reveal the importance of two gulfs in South Australia.
- Author
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Bilgmann K, Parra GJ, Holmes L, Peters KJ, Jonsen ID, and Möller LM
- Subjects
- Animals, Ecological Parameter Monitoring statistics & numerical data, Population Density, Seasons, Seawater, South Australia, Temperature, Animal Distribution physiology, Bottle-Nosed Dolphin physiology, Conservation of Natural Resources, Ecosystem
- Abstract
Informed conservation management of marine mammals requires an understanding of population size and habitat preferences. In Australia, such data are needed for the assessment and mitigation of anthropogenic impacts, including fisheries interactions, coastal zone developments, oil and gas exploration and mining activities. Here, we present large-scale estimates of abundance, density and habitat preferences of southern Australian bottlenose dolphins (Tursiops sp.) over an area of 42,438km
2 within two gulfs of South Australia. Using double-observer platform aerial surveys over four strata and mark-recapture distance sampling analyses, we estimated 3,493 (CV = 0.21; 95%CI = 2,327-5,244) dolphins in summer/autumn, and 3,213 (CV = 0.20; 95%CI = 2,151-4,801) in winter/spring of 2011. Bottlenose dolphin abundance and density was higher in gulf waters across both seasons (0.09-0.24 dolphins/km2 ) compared to adjacent shelf waters (0.004-0.04 dolphins/km2 ). The high densities of bottlenose dolphins in the two gulfs highlight the importance of these gulfs as a habitat for the species. Habitat modelling associated bottlenose dolphins with shallow waters, flat seafloor topography, and higher sea surface temperatures (SSTs) in summer/autumn and lower SSTs in winter/spring. Spatial predictions showed high dolphin densities in northern and coastal gulf sections. Distributional data should inform management strategies, marine park planning and environmental assessments of potential anthropogenic threats to this protected species.- Published
- 2019
- Full Text
- View/download PDF
40. Genetic admixture predicts parasite intensity: evidence for increased hybrid performance in Darwin's tree finches.
- Author
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Peters KJ, Evans C, Aguirre JD, and Kleindorfer S
- Abstract
Hybridization can increase adaptive potential when enhanced genetic diversity or novel genetic combinations confer a fitness advantage, such as in the evolution of anti-parasitic mechanisms. Island systems are especially susceptible to invasive parasites due to the lack of defence mechanisms that usually coevolve in long-standing host-parasite relationships. We test if host genetic admixture affects parasite numbers in a novel host-parasite association on the Galápagos Islands. Specifically, we compare the number of Philornis downsi in nests with offspring sired by Darwin's small tree finch ( Camarhynchus parvulus ), Darwin's medium tree finch ( C. pauper ) and hybrids of these two species. The number of P. downsi decreased with an increasing genetic admixture of the attending male, and nests of hybrid males had approximately 50% fewer parasites than C. parvulus nests, and approximately 60% fewer parasites than C. pauper nests. This finding indicates that hybridization in this system could be favoured by selection and reveal a mechanism to combat an invasive parasite., Competing Interests: We declare we have no competing interests.
- Published
- 2019
- Full Text
- View/download PDF
41. Females drive asymmetrical introgression from rare to common species in Darwin's tree finches.
- Author
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Peters KJ, Myers SA, Dudaniec RY, O'Connor JA, and Kleindorfer S
- Subjects
- Animals, Biological Evolution, Conservation of Natural Resources, Ecuador, Female, Finches parasitology, Host-Parasite Interactions, Hybridization, Genetic, Male, Muscidae physiology, Biodiversity, Finches genetics, Gene Flow
- Abstract
The consequences of hybridization for biodiversity depend on the specific ecological and evolutionary context in which it occurs. Understanding patterns of gene flow among hybridizing species is crucial for determining the evolutionary trajectories of species assemblages. The recently discovered hybridization between two species of Darwin's tree finches (Camarhynchus parvulus and C. pauper) on Floreana Island, Galápagos, presents an exciting opportunity to investigate the mechanisms causing hybridization and its potential evolutionary consequences under conditions of recent habitat disturbance and the introduction of invasive pathogens. In this study, we combine morphological and genetic analysis with pairing observations to explore the extent, direction and drivers of hybridization and to test whether hybridization patterns are a result of asymmetrical pairing preference driven by females of the rarer species (C. pauper). We found asymmetrical introgression from the critically endangered, larger-bodied C. pauper to the common, smaller-bodied C. parvulus, which was associated with a lack of selection against heterospecific males by C. pauper females. Examination of pairing data showed that C. parvulus females paired assortatively, whereas C. pauper females showed no such pattern. This study shows how sex-specific drivers can determine the direction of gene flow in hybridizing species. Furthermore, our results suggest the existence of a hybrid swarm comprised of C. parvulus and hybrid birds. We discuss the influence of interspecific abundance differences and susceptibility to the invasive parasite Philornis downsi on the observed hybridization and recommend that the conservation of this iconic species group should be managed jointly rather than species-specific., (© 2017 European Society For Evolutionary Biology. Journal of Evolutionary Biology © 2017 European Society For Evolutionary Biology.)
- Published
- 2017
- Full Text
- View/download PDF
42. Patient-centered communication strategies for patients with aphasia: discrepancies between what patients want and what physicians do.
- Author
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Morris MA, Clayman ML, Peters KJ, Leppin AL, and LeBlanc A
- Subjects
- Adult, Aged, Female, Friends, Gestures, Humans, Male, Middle Aged, Office Visits, Physicians, Primary Health Care, Speech, Surveys and Questionnaires, Writing, Young Adult, Aphasia, Communication, Persons with Disabilities, Patient-Centered Care, Physician-Patient Relations
- Abstract
Background: Communication during clinical encounters can be challenging with patients with communication disabilities. Physicians have the potential to positively affect the encounter by using communication strategies that engage the patient in patient-centered communication., Objective: We engaged patients and their physicians in defining their preferences for patient-centered communication strategies, then evaluated the use of the identified strategies during observed clinical encounters., Methods: We video-recorded 25 clinical encounters with persons with aphasia. All encounters were previously scheduled with community physicians and a companion was present. Following each encounter, physicians completed a brief questionnaire and the person with aphasia and his or her companion participated in a video elicitation interview., Results: While many of the communication strategies identified and described by physicians, patients and companions were similar, patients and companions identified three additional key communication strategies. These strategies included (1) using visual aids, (2) writing down key words while speaking, and (3) using gestures. In the video recorded clinical encounters, no physicians wrote down key words while speaking and only one used a visual aid during the clinical encounter. The frequency with which physicians used gestures varied greatly, even within the same patient, suggesting the use of gestures was independent of patient or companion characteristics., Conclusions: To maximize patient-centered communication with patients with communication disabilities, physicians should use "disability-specific" communication strategies. Our study suggests that physicians should routinely ask patients and companions about communication preferences and then incorporate identified communication strategies into their communication style., (Copyright © 2015 Elsevier Inc. All rights reserved.)
- Published
- 2015
- Full Text
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43. Breeding objectives for indigenous chicken: model development and application to different production systems.
- Author
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Okeno TO, Magothe TM, Kahi AK, and Peters KJ
- Subjects
- Animal Husbandry economics, Animals, Breeding economics, Computer Simulation, Animal Husbandry methods, Breeding methods, Chickens growth & development, Models, Economic
- Abstract
A bio-economic model was developed to evaluate the utilisation of indigenous chickens (IC) under different production systems accounting for the risk attitude of the farmers. The model classified the production systems into three categories based on the level of management: free-range system (FRS), where chickens were left to scavenge for feed resources with no supplementation and healthcare; intensive system (IS), where the chickens were permanently confined and supplied with rationed feed and healthcare; and semi-intensive system (SIS), a hybrid of FRS and IS, where the chickens were partially confined, supplemented with rationed feeds, provided with healthcare and allowed to scavenge within the homestead or in runs. The model allows prediction of the live weights and feed intake at different stages in the life cycle of the IC and can compute the profitability of each production system using both traditional and risk-rated profit models. The input parameters used in the model represent a typical IC production system in developing countries but are flexible and therefore can be modified to suit specific situations and simulate profitability and costs of other poultry species production systems. The model has the capability to derive the economic values as changes in the genetic merit of the biological parameter results in marginal changes in profitability and costs of the production systems. The results suggested that utilisation of IC in their current genetic merit and production environment is more profitable under FRS and SIS but not economically viable under IS.
- Published
- 2013
- Full Text
- View/download PDF
44. Evaluation of breeding objectives for purebred and crossbred selection schemes for adoption in indigenous chicken breeding programmes.
- Author
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Okeno TO, Kahi AK, and Peters KJ
- Subjects
- Animal Husbandry methods, Animals, Chickens growth & development, Eggs, Female, Genotype, Kenya, Male, Meat, Phenotype, Breeding methods, Chickens genetics, Crosses, Genetic
- Abstract
1. The aim of the study was to evaluate the genetic and economic breeding objectives for an indigenous chicken (IC) breeding programme in Kenya. 2. A closed three-tier nucleus breeding programme with three breeding objectives and two selection schemes was simulated. The breeding objectives included IC dual-purpose (ICD) for both eggs and meat, IC layer (ICL) for eggs and IC broiler (ICB) for meat production. 3. Pure line selection scheme (PLS) for development of IC pure breeds and crossbreeding scheme (CBS) for the production of hybrids were considered. Two-and three-way crossbreeding strategies were evaluated under CBS and the impact of nucleus size on genetic gains and profitability of the breeding programme were investigated. 4. Males were the main contributors to genetic gains. The highest genetic gains for egg number (2·71 eggs) and growth traits (1·74 g average daily gain and 57·96 g live weight at 16 weeks) were realised under PLS in ICL and ICB, respectively. 5. The genetic response for age at first egg was desirable in all the breeding objectives, while that for fertility and hatchability were only favourable under ICL and PLS in ICD. Faecal egg count and immune antibody response had low, but positive gains except under PLS where the later was unfavourable. ICB was the most profitable breeding objective, followed by ICD and ICL under all the selection schemes. 6. Although PLS was superior in genetic gains and profitability and recommended in breeding programmes targeting ICL and ICB, a three line CBS should be considered in development of a dual-purpose breed. 7. Increasing the nucleus size beyond 5% of the IC population was not attractive as it resulted in declining profitability of the breeding programme.
- Published
- 2013
- Full Text
- View/download PDF
45. Self-repairing, interferometric waveguide sensor with a large strain range.
- Author
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Song YJ and Peters KJ
- Abstract
We demonstrate a polymer waveguide, Fabry-Perot interferometer strain sensor fabricated through a self-writing process in a photopolymerizable resin bath between two silica optical fibers. The measurable strain range is extended through sensor self-repair and strain measurements are demonstrated up to 150% applied tensile strain. The sensor fabrication and repair is performed in the ultraviolet wavelength range, while the sensor interrogation is performed in the near-infrared wavelength range. A hybrid sensor is fabricated by splicing a short segment of multimode optical fiber to the input single-mode optical fiber. The hybrid sensor provides the high quality of waveguide fabrication previously demonstrated through self-writing between multimode optical fibers with the high fringe visibility of single-mode propagation. The peak frequency shift of the reflected spectrum Fabry-Perot sensor is extremely linear with applied strain for the hybrid sensor, with a sensitivity of 2.3×10(-3) per nanometer per percent strain. The calibrated peak frequency shift with applied strain is the same for both the original sensor and the repaired sensor; therefore, the fact that the sensor has self-repaired does not need to be known. Additionally, this calibration is the same between multiple sensor fabrications. In contrast to a conventional air gap Fabry-Perot cavity sensor, no decrease in the fringe visibility is observed over the measurable strain range.
- Published
- 2012
- Full Text
- View/download PDF
46. Application of risk-rated profit model functions in estimation of economic values for indigenous chicken breeding.
- Author
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Okeno TO, Magothe TM, Kahi AK, and Peters KJ
- Subjects
- Animal Husbandry methods, Animals, Fertility physiology, Kenya, Risk Assessment, Survival Rate, Weight Gain, Animal Husbandry economics, Breeding economics, Breeding methods, Chickens genetics, Chickens growth & development, Models, Economic
- Abstract
The economic values for productive (egg number, average daily gain, live weight, and mature weight) and functional (fertility, hatchability, broodiness, survival rate, feed intake, and egg weight) traits were derived for three production systems utilizing indigenous chicken in Kenya. The production systems considered were free-range, semi-intensive, and intensive system and were evaluated based on fixed flock size and fixed feed resource production circumstances. A bio-economic model that combined potential performances, feeding strategies, optimum culling strategies, farmer's preferences and accounted for imperfect knowledge concerning risk attitude of farmers and economic dynamics was employed to derive risk-rated economic values. The economic values for all the traits were highest in free-range system under the two production circumstances and decreased with level of intensification. The economic values for egg number, average daily gain, live weight, fertility, hatchability, and survival rate were positive while those for mature weight, broodiness, egg weight, and feed intake were negative. Generally, the economic values estimated under fixed feed resource production circumstances were higher than those derived under fixed flock size. The difference between economic values estimated using simple (traditional) and risk-rated profit model functions ranged from -47.26% to +67.11% indicating that inclusion of risks in estimation of economic values is important. The results of this study suggest that improvement targeting egg number, average daily gain, live weight, fertility, hatchability, and survival rate would have a positive impact on profitability of indigenous chicken production in Kenya.
- Published
- 2012
- Full Text
- View/download PDF
47. Sweet blue lupin (Lupinus angustifolius L.) seed as a substitute for concentrate mix supplement in the diets of yearling washera rams fed on natural pasture hay as basal diet in Ethiopia.
- Author
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Yeheyis L, Kijora C, Tegegne F, and Peters KJ
- Subjects
- Animals, Ethiopia, Male, Poaceae, Weight Gain physiology, Agriculture methods, Animal Nutritional Physiological Phenomena, Diet, Dietary Supplements, Lupinus, Seeds chemistry, Sheep growth & development
- Abstract
In the mixed crop-livestock farming system of Ethiopia where crop residues are the major feed resources and concentrate supplement feeds are not common, home-grown legume protein sources can help to minimise the feed problem. A 69-day feeding experiment on sheep was conducted to evaluate the potential of sweet blue lupin (Lupinus angustifolius L.) cultivar Sanabor seed as a substitute for commercial concentrate supplement. Thirty yearling male intact Washera sheep with initial body weight of 21 ± 1.38 kg (mean ± SD) were used. The design was a randomised complete block design with six replications. The five experimental supplement feeds were 453 g concentrate (T1), 342 g concentrate + 74 g lupin seed (T2), 228 g concentrate + 147 g lupin seed (T3), 116 g concentrate + 219 g lupin seed (T4) and 290 g lupin seed (T5) in dry matter basis to supplement around 100 g crude protein per day per animal. There were significant differences (P < 0.05) in total dry matter, crude protein, ash and organic matter intakes among treatments. The average daily body weight gain for T1, T2, T3, T4 and T5 was 91, 79, 79, 87 and 74 g/day, respectively, and this difference was not significant (P > 0.05). It was concluded that blue lupin seed has a potential to substitute the commercial concentrate supplement feed in Ethiopia.
- Published
- 2012
- Full Text
- View/download PDF
48. Effect of supplementation of mustard oil cake on intake, digestibility and microbial protein synthesis of cattle in a straw-based diet in Bangladesh.
- Author
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Khandaker ZH, Uddin MM, Sultana N, and Peters KJ
- Subjects
- Animal Husbandry economics, Animals, Bacteria metabolism, Bangladesh, Cattle physiology, Dairying economics, Dietary Fiber metabolism, Dietary Supplements, Digestion, Eating, Fatty Acids, Volatile metabolism, Female, Fermentation, Nitrogen metabolism, Nutritive Value, Protein Biosynthesis, Animal Feed analysis, Dietary Proteins administration & dosage, Mustard Plant metabolism, Plant Oils metabolism, Rumen metabolism, Rumen microbiology
- Abstract
The objective of this study was to analyse the effects of different levels of rumen-degradable protein (RDP) on intake, digestibility and microbial protein synthesis by supplementing mustard oil cake (MOC) on rice straw-based diet of cattle (Bos indicus) in Bangladesh. A 4 × 4 Latin square design was applied. Four diets having constant energy (7.0 MJ/kg of dry matter (DM)) with varying levels of RDP (M(0) = 4.1 g/MJ (control), M(1) = 6.3 g/MJ, M(2) = 8.3 g/MJ and M(3) = 12.4 g/MJ of metabolizable energy (ME)) were received by each animal for a period of 28 days. A metabolism trial was conducted for 7 days. Results indicate that with increasing levels of RDP, crude protein (CP) and RDP intake increased significantly (P < 0.01). The significant (P < 0.01) increase in digestibility values are obtained for DM, organic matter, CP and digestible organic matter in the rumen. The digestibility of neutral detergent fibre and acid detergent fibre was also increased significantly (P < 0.05). The total nitrogen (N), ammonia-N and total volatile fatty acids increase significantly (P < 0.01) while the rumen pH increased from M(0) to M(2) and decreased thereafter. The efficiency microbial N intake increased significantly (P < 0.01) but showed a curvilinear response with higher RDP level (12.40 g/RDP/MJ ME). This study concludes that supplementation of RDP from MOC enhances the intake, digestibility and microbial protein synthesis which ultimately increases utilization of low-quality feed resources that can be used for developing cost-effective feeding systems on a straw-based diet in tropical regions.
- Published
- 2012
- Full Text
- View/download PDF
49. Characterization of indigenous chicken production systems in Kenya.
- Author
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Okeno TO, Kahi AK, and Peters KJ
- Subjects
- Adolescent, Adult, Aged, 80 and over, Agriculture, Animal Husbandry economics, Animal Husbandry statistics & numerical data, Animals, Family Characteristics, Female, Humans, Inbreeding, Kenya, Male, Middle Aged, Socioeconomic Factors, Surveys and Questionnaires, Animal Husbandry methods, Chickens growth & development
- Abstract
Indigenous chicken (IC) and their production systems were characterized to understand how the whole system operates for purposes of identifying threats and opportunities for holistic improvement. A survey involving 594 households was conducted in six counties with the highest population of IC in Kenya using structured questionnaires. Data on IC farmers' management practices were collected and analysed and inbreeding levels calculated based on the effective population size. Indigenous chicken were ranked highest as a source of livestock income by households in medium- to high-potential agricultural areas, but trailed goats in arid and semi-arid areas. The production system practised was mainly low-input and small-scale free range, with mean flock size of 22.40 chickens per household. The mean effective population size was 16.02, translating to high levels of inbreeding (3.12%). Provision for food and cash income were the main reasons for raising IC, whilst high mortality due to diseases, poor nutrition, housing and marketing channels were the major constraints faced by farmers. Management strategies targeting improved healthcare, nutrition and housing require urgent mitigation measures, whilst rural access road network needs to be developed for ease of market accessibility. Sustainable genetic improvement programmes that account for farmers' multiple objectives, market requirements and the production circumstances should be developed for a full realization of IC productivity.
- Published
- 2012
- Full Text
- View/download PDF
50. Modelling of lactation curves of dairy cows based on monthly test day milk yield records under inconsistent milk recording scenarios.
- Author
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Wasike CB, Kahi AK, and Peters KJ
- Abstract
The objective of this study was to describe the lactation curve of dairy cattle in Kenya using a suitable lactation function in order to facilitate inclusion of partial lactations in national dairy cattle evaluation and to assess the effect of data characteristics on lactation curve parameters. Six functions were fitted to test day (TD) milk yield records from six parities of Ayrshire, Guernsey, Holstein Friesian, Jersey and Sahiwal cattle. Five datasets: DS-1 (12-TD dataset with randomly missing records), DS-2 (10-TD dataset without missing records), DS-3 (10-TD dataset with randomly missing records), DS-4 (7-TD dataset, with only TD 4 to 10 records) and DS-5 (7-TD dataset, with TD 1 to 4, 6, 8 and 10 records) depicting various recording circumstances were derived to assess the effects of data characteristics on lactation curves and to assess the feasibility of reducing the number of TD samples per lactation. The fit of the functions was evaluated using adjusted R(2) and their predictive abilities were compared using mean square prediction error, percentage of squared bias and the correlation between the predicted and actual milk yield. These criteria plus the changes in the parameters of curve functions and their associated standard errors were used in determining the effects of data characteristics on lactation curves. The mechanistic functions of Dijkstra (DIJ) and Pollott (APOL), and the incomplete gamma function of Wood (WD) had the highest adjusted R(2) > 0.75. The APOL function was eliminated due to convergence failures when analysis of individual lactations within breeds was carried out. Both DIJ and WD had good predictive ability, although DIJ performed slightly better. Convergence difficulties were noted in some DIJ analysis where data were limiting. Missing records, especially at the beginning of a lactation, greatly influenced parameters a and b of the functions. It also resulted in estimates with large standard errors. Missing records in later lactation hardly affected the parameter estimates. The WD and DIJ functions showed superior fit to the data. The WD function demonstrated higher adaptability to various data characteristics than DIJ and could be used in situations where animal recording is not consistently practised and where recording of animal performance is routinely practised. DIJ function had high data requirements, which restricts it to dairy systems with consistent recording, despite easy physiological interpretation of its parameters. The number of TD per lactation could be reduced by minimising sampling frequency in the later lactation while maintaining the monthly sampling frequency in early lactation.
- Published
- 2011
- Full Text
- View/download PDF
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