33 results on '"Wu, Jianfeng"'
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2. Knowledge stock, exploration, and innovation: Research on the United States electromedical device industry
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Wu, Jianfeng and Shanley, Mark T.
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Business ,Business, general - Abstract
To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.jbusres.2007.12.004 Byline: Jianfeng Wu (a), Mark T. Shanley (b) Keywords: Exploration; Knowledge stock; Technological innovation Abstract: This study applies the knowledge-based view of the firm to examine the relationships between exploration, characteristics of knowledge stock, and innovative performance. The article argues that the effectiveness of exploration on innovation is contingent upon two dimensions of knowledge stock: knowledge depth and knowledge breadth. Empirical findings from the US electromedical device industry between 1990 and 2000 provide support for this contingency argument. Author Affiliation: (a) Business School, University of International Business and Economics, Beijing, China 100029 (b) University of Illinois at Chicago, United States Article History: Received 1 May 2005; Revised 1 November 2007; Accepted 1 December 2007 Article Note: (footnote) [star] This research is sponsored by the National Science Foundation of China (Grant numbers: 70502011 and 70532005) and by SRF for ROCS, SEM.
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- 2009
3. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants
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Rodriguez-Martinez, Andrea, Zhou, Bin, Sophiea, Marisa K, Bentham, James, Paciorek, Christopher J, Iurilli, Maria LC, Carrillo-Larco, Rodrigo M, Bennett, James E, Di Cesare, Mariachiara, Taddei, Cristina, Bixby, Honor, Stevens, Gretchen A, Riley, Leanne M, Cowan, Melanie J, Savin, Stefan, Danaei, Goodarz, Chirita-Emandi, Adela, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Malekzadeh, Reza, Miranda, J Jaime, Moon, Jin Soo, Popovic, Stevo R, Sorensen, Thorkild IA, Soric, Maroje, Starc, Gregor, Zainuddin, Ahmad A, Gregg, Edward W, Bhutta, Zulfiqar A, Black, Robert, Ezzati, Majid, Abarca-Gomez, Leandra, Abdeen, Ziad A, Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Rahim, Hanan F Abdul, Abu-Rmeileh, Niveen M, Garba, Jamila Abubakar, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alkandari, Abdullah, Alkerwi, Ala'a, Allin, Kristine, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiri, Parisa, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Angquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araujo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assuncao, Maria Cecilia F, Aung, May Soe, Auvinen, Juha, Avdicova, Maria, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Jorgensen, Maja Baeksgaard, Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R, Baran, Joanna, Barbagallo, 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Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peres, Marco A, Perez-Farinos, Napoleon, Perez, Cynthia M, Peterkova, Valentina, Peters, Annette, Petersmann, Astrid, Petkeviciene, Janina, Petrauskiene, Ausra, Pettenuzzo, Emanuela, Peykari, Niloofar, Son, Thai Pham, Pichardo, Rafael N, Pierannunzio, Daniela, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N, Plans-Rubio, Pedro, Poh, Bee Koon, Pohlabeln, Hermann, Pop, Raluca M, Porta, Miquel, Posch, Georg, Poudyal, Anil, Poulimeneas, Dimitrios, Pouraram, Hamed, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J, Price, Jacqueline F, Providencia, Rui, Puder, Jardena J, Pudule, Iveta, Puhakka, Soile E, Puiu, Maria, Punab, Margus, Qasrawi, Radwan F, Qorbani, Mostafa, Tran, Quoc Bao, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Rahman, Mahmudur, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina, Rakhmatulloev, Sherali, Rakovac, Ivo, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramke, Jacqueline, Ramos, Elisabete, Ramos, Rafel, Rampal, Lekhraj, Rampal, Sanjay, Rarra, Vayia, Rascon-Pacheco, Ramon A, Rasmussen, Mette, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M, Regecova, Valeria, Revilla, Luis, Rezaianzadeh, Abbas, Ribas-Barba, Lourdes, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, Rinaldo, Natascia, de Wit, Tobias F Rinke, Rito, Ana, Ritti-Dias, Raphael M, Rivera, Juan A, Robitaille, Cynthia, Roccaldo, Romana, Rodrigues, Daniela, Rodriguez-Artalejo, Fernando, Rodriguez-Perez, Maria del Cristo, Rodriguez-Villamizar, Laura A, Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Romeo, Elisabetta L, Rosario, Rafaela V, Rosengren, Annika, Rouse, Ian, Roy, Joel GR, Rubinstein, Adolfo, Ruhli, Frank J, Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, 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Kuulasmaa K., Kyobutungi C., La Q.N., Laamiri F.Z., Laatikainen T., Lachat C., Laid Y., Lam T.H., Lambrinou C.-P., Landais E., Lanska V., Lappas G., Larijani B., Latt T.S., Lauria L., Lazo-Porras M., Le Nguyen Bao K., Le Port A., Le T.D., Lee J., Lee P.H., Lehmann N., Lehtimaki T., Lemogoum D., Levitt N.S., Li Y., Liivak M., Lilly C.L., Lim W.-Y., Lima-Costa M.F., Lin H.-H., Lin X., Lin Y.-T., Lind L., Linneberg A., Lissner L., Litwin M., Liu J., Liu L., Lo W.-C., Loit H.-M., Long K.Q., Lopes L., Lopes O., Lopez-Garcia E., Lopez T., Lotufo P.A., Lozano J.E., Lukrafka J.L., Luksiene D., Lundqvist A., Lundqvist R., Lunet N., Lunogelo C., Lustigova M., Luszczki E., Ma G., Ma J., Ma X., Machado-Coelho G.L., Machado-Rodrigues A.M., Machi S., Macieira L.M., Madar A.A., Maggi S., Magliano D.J., Magnacca S., Magriplis E., Mahasampath G., Maire B., Majer M., Makdisse M., Maki P., Malekzadeh F., Malhotra R., Mallikharjuna Rao K., Malyutina S.K., Maniego L.V., Manios Y., Mann J.I., Mansour-Ghanaei F., Manzato E., Margozzini P., Markaki A., Markey O., Markidou Ioannidou E., Marques-Vidal P., Marques L.P., Marrugat J., Martin-Prevel Y., Martin R., Martorell R., Martos E., Marventano S., Mascarenhas L.P., Masoodi S.R., Mathiesen E.B., Mathur P., Matijasevich A., Matsha T.E., Mavrogianni C., Mazur A., Mbanya J.C.N., McFarlane S.R., McGarvey S.T., McKee M., McLachlan S., McLean R.M., McLean S.B., McNulty B.A., Mediene-Benchekor S., Medzioniene J., Mehdipour P., Mehlig K., Mehrparvar A.H., Meirhaeghe A., Meisfjord J., Meisinger C., Menezes A.M.B., Menon G.R., Mensink G.B., Menzano M.T., Mereke A., Meshram I.I., Metspalu A., Mi J., Michaelsen K.F., Michels N., Mikkel K., Milkowska K., Miller J.C., Minderico C.S., Mini G.K., Miquel J.F., Mirjalili M.R., Mirkopoulou D., Mirrakhimov E., Misigoj-Durakovic M., Mistretta A., Mocanu V., Modesti P.A., Moghaddam S.S., Mohajer B., Mohamed M.K., Mohamed S.F., Mohammad K., Mohammadi Z., Mohammadifard N., Mohammadpourhodki R., Mohan V., Mohanna S., Mohd Yusoff M.F., Mohebbi I., Mohebi F., Moitry M., Molbo D., Mollehave L.T., Moller N.C., Molnar D., Momenan A., Mondo C.K., Monroy-Valle M., Monterrubio-Flores E., Monyeki K.D.K., Moosazadeh M., Moreira L.B., Morejon A., Moreno L.A., Morgan K., Morin S.N., Mortensen E.L., Moschonis G., Mossakowska M., Mostafa A., Mota-Pinto A., Mota J., Motlagh M.E., Motta J., Moura-dos-Santos M.A., Mridha M.K., Msyamboza K.P., Mu T.T., Muc M., Mugosa B., Muiesan M.L., Mukhtorova P., Muller-Nurasyid M., Murphy N., Mursu J., Murtagh E.M., Musa K.I., Music Milanovic S., Musil V., Mustafa N., Nabipour I., Naderimagham S., Nagel G., Naidu B.M., Najafi F., Nakamura H., Namesna J., Nang E.E.K., Nangia V.B., Nankap M., Narake S., Nardone P., Nauck M., Neal W.A., Nejatizadeh A., Nelis K., Nelis L., Nenko I., Neovius M., Nervi F., Nguyen C.T., Nguyen D., Nguyen Q.N., Nieto-Martinez R.E., Nikitin Y.P., Ning G., Ninomiya T., Nishtar S., Noale M., Noboa O.A., Nogueira H., Norat T., Nordendahl M., Nordestgaard B.G., Noto D., Nowak-Szczepanska N., Nsour M.A., Nuhoglu I., Nurk E., O'Neill T.W., O'Reilly D., Obreja G., Ochimana C., Ochoa-Aviles A.M., Oda E., Oh K., Ohara K., Ohlsson C., Ohtsuka R., Olafsson O., Olinto M.T.A., Oliveira I.O., Omar M.A., Onat A., Ong S.K., Ono L.M., Ordunez P., Ornelas R., Ortiz A.P., Ortiz P.J., Osler M., Osmond C., Ostojic S.M., Ostovar A., Otero J.A., Overvad K., Owusu-Dabo E., Paccaud F.M., Padez C., Pagkalos I., Pahomova E., Paiva K.M.D., Pajak A., Palli D., Palloni A., Palmieri L., Pan W.-H., Panda-Jonas S., Pandey A., Panza F., Papandreou D., Park S.-W., Park S., Parnell W.R., Parsaeian M., Pascanu I.M., Pasquet P., Patel N.D., Pednekar M.S., Peer N., Peixoto S.V., Peltonen M., Pereira A.C., Peres M.A., Perez-Farinos N., Perez C.M., Peterkova V., Peters A., Petersmann A., Petkeviciene J., Petrauskiene A., Pettenuzzo E., Peykari N., Pham S.T., Pichardo R.N., Pierannunzio D., Pigeot I., Pikhart H., Pilav A., Pilotto L., Pistelli F., Pitakaka F., Piwonska A., Pizarro A.N., Plans-Rubio P., Poh B.K., Pohlabeln H., Pop R.M., Porta M., Posch G., Poudyal A., Poulimeneas D., Pouraram H., Pourfarzi F., Pourshams A., Poustchi H., Pradeepa R., Price A.J., Price J.F., Providencia R., Puder J.J., Pudule I., Puhakka S.E., Puiu M., Punab M., Qasrawi R.F., Qorbani M., Quoc Bao T., Radic I., Radisauskas R., Rahimikazerooni S., Rahman M., Raitakari O., Raj M., Rakhimova E., Rakhmatulloev S., Rakovac I., Ramachandra Rao S., Ramachandran A., Ramke J., Ramos E., Ramos R., Rampal L., Rampal S., Rarra V., Rascon-Pacheco R.A., Rasmussen M., Rech C.R., Redon J., Reganit P.F.M., Regecova V., Revilla L., Rezaianzadeh A., Ribas-Barba L., Ribeiro R., Riboli E., Richter A., Rigo F., Rinaldo N., Rinke de Wit T.F., Rito A., Ritti-Dias R.M., Rivera J.A., Robitaille C., Roccaldo R., Rodrigues D., Rodriguez-Artalejo F., Rodriguez-Perez M.D.C., Rodriguez-Villamizar L.A., Roggenbuck U., Rojas-Martinez R., Rojroongwasinkul N., Romaguera D., Romeo E.L., Rosario R.V., Rosengren A., Rouse I., Roy J.G., Rubinstein A., Ruhli F.J., Ruidavets J.-B., Ruiz-Betancourt B.S., Ruiz Moreno E., Rusakova I.A., Russell Jonsson K., Russo P., Rust P., Rutkowski M., Sabanayagam C., Sacchini E., Sachdev H.S., Sadjadi A., Safarpour A.R., Safi S., Safiri S., Saidi O., Saki N., Salanave B., Salazar Martinez E., Salmeron D., Salomaa V., Salonen J.T., Salvetti M., Samoutian M., Sanchez-Abanto J., Sandjaja, Sans S., Santa Marina L., Santos D.A., Santos I.S., Santos L.C., Santos M.P., Santos O., Santos R., Santos Sanz S., Saramies J.L., Sardinha L.B., Sarrafzadegan N., Sathish T., Saum K.-U., Savva S., Savy M., Sawada N., Sbaraini M., Scazufca M., Schaan B.D., Schaffrath Rosario A., Schargrodsky H., Schienkiewitz A., Schindler K., Schipf S., Schmidt C.O., Schmidt I.M., Schnohr P., Schottker B., Schramm S., Schroder H., Schultsz C., Schutte A.E., Sebert S., Sein A.A., Selamat R., Sember V., Sen A., Senbanjo I.O., Sepanlou S.G., Sequera V., Serra-Majem L., Servais J., Sevcikova L., Shalnova S.A., Shamah-Levy T., Shamshirgaran M., Shanthirani C.S., Sharafkhah M., Sharma S.K., Shaw J.E., Shayanrad A., Shayesteh A.A., Shengelia L., Shi Z., Shibuya K., Shimizu-Furusawa H., Shin D.W., Shin Y., Shirani M., Shiri R., Shrestha N., Si-Ramlee K., Siani A., Siantar R., Sibai A.M., Silva A.M., Silva D.A.S., Simon M., Simons J., Simons L.A., Sjoberg A., Sjostrom M., Skodje G., Slowikowska-Hilczer J., Slusarczyk P., Smeeth L., So H.-K., Soares F.C., Sobek G., Sobngwi E., Sodemann M., Soderberg S., Soekatri M.Y., Soemantri A., Sofat R., Solfrizzi V., Somi M.H., Sonestedt E., Song Y., Sorgjerd E.P., Sossa Jerome C., Soto-Rojas V.E., Soumare A., Sovic S., Sparboe-Nilsen B., Sparrenberger K., Spinelli A., Spiroski I., Staessen J.A., Stamm H., Stathopoulou M.G., Staub K., Stavreski B., Steene-Johannessen J., Stehle P., Stein A.D., Stergiou G.S., Stessman J., Stevanovic R., Stieber J., Stockl D., Stocks T., Stokwiszewski J., Stoyanova E., Stratton G., Stronks K., Strufaldi M.W., Sturua L., Suarez-Medina R., Suka M., Sun C.-A., Sundstrom J., Sung Y.-T., Sunyer J., Suriyawongpaisal P., Swinburn B.A., Sy R.G., Syddall H.E., Sylva R.C., Szklo M., Szponar L., Tai E.S., Tammesoo M.-L., Tamosiunas A., Tan E.J., Tang X., Tanser F., Tao Y., Tarawneh M.R., Tarp J., Tarqui-Mamani C.B., Taxova Braunerova R., Taylor A., Taylor J., Tchibindat F., Tebar W.R., Tell G.S., Tello T., Thankappan K.R., Theobald H., Theodoridis X., Thijs L., Thomas N., Thuesen B.H., Ticha L., Timmermans E.J., Tjonneland A., Tolonen H.K., Tolstrup J.S., Topbas M., Topor-Madry R., Torheim L.E., Tormo M.J., Tornaritis M.J., Torrent M., Torres-Collado L., Toselli S., Traissac P., Tran T.T.-H., Trichopoulos D., Trichopoulou A., Trinh O.T., Trivedi A., Tshepo L., Tsigga M., Tsugane S., Tuliakova A.M., Tulloch-Reid M.K., Tullu F., Tuomainen T.-P., Tuomilehto J., Turley M.L., Tynelius P., Tzotzas T., Tzourio C., Ueda P., Ugel E., Ukoli F.A., Ulmer H., Unal B., Usupova Z., Uusitalo H.M., Uysal N., Vaitkeviciute J., Valdivia G., Vale S., Valvi D., van Dam R.M., Van der Heyden J., van der Schouw Y.T., Van Herck K., Van Minh H., van Valkengoed I.G., Vanderschueren D., Vanuzzo D., Varbo A., Varela-Moreiras G., Varona-Perez P., Vasan S.K., Vega T., Veidebaum T., Velasquez-Melendez G., Velika B., Veronesi G., Verschuren W.M., Victora C.G., Viegi G., Viet L., Villalpando S., Vineis P., Vioque J., Virtanen J.K., Visser M., Visvikis-Siest S., Viswanathan B., Vladulescu M., Vlasoff T., Vocanec D., Volzke H., Voutilainen A., Voutilainen S., Vrijheid M., Vrijkotte T.G., Wade A.N., Wagner A., Waldhor T., Walton J., Wambiya E.O., Wan Bebakar W.M., Wan Mohamud W.N., Wanderley Junior R.D.S., Wang M.-D., Wang N., Wang Q., Wang X., Wang Y.X., Wang Y.-W., Wannamethee S.G., Wareham N., Weber A., Wedderkopp N., Weerasekera D., Weghuber D., Wei W., Weres A., Werner B., Whincup P.H., Widhalm K., Widyahening I.S., Wiecek A., Wilks R.J., Willeit J., Willeit P., Williams J., Wilsgaard T., Wojtyniak B., Wong-McClure R.A., Wong A., Wong J.E., Wong T.Y., Woo J., Woodward M., Wu F.C., Wu J., Wu L.J., Wu S., Xu H., Xu L., Yaacob N.A., Yamborisut U., Yan W., Yang L., Yang X., Yang Y., Yardim N., Yaseri M., Yasuharu T., Ye X., Yiallouros P.K., Yoosefi M., Yoshihara A., You Q.S., You S.-L., Younger-Coleman N.O., Yusof S.M., Yusoff A.F., Zaccagni L., Zafiropulos V., Zakavi S.R., Zamani F., Zambon S., Zampelas A., Zamrazilova H., Zapata M.E., Zargar A.H., Zaw K.K., Zdrojewski T., Zeljkovic Vrkic T., Zeng Y., Zhang L., Zhang Z.-Y., Zhao D., Zhao M.-H., Zhao W., Zhen S., Zheng W., Zheng Y., Zholdin B., Zhou M., Zhu D., Zocalo Y., Zuniga Cisneros J., Zuziak M., and Ezzati M.
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Male ,body-mass index ,ADULTHOOD ,Adolescents ,pituuskasvu ,Pediatrics ,Body Mass Index ,0302 clinical medicine ,Child Development ,nuoret ,Public health surveillance ,Medicine ,Health Status Indicators ,10. No inequality ,Child ,11 Medical and Health Sciences ,Body mass index ,ComputingMilieux_MISCELLANEOUS ,education.field_of_study ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,General Medicine ,Body mass indexes ,kansainvälinen vertailu ,3. Good health ,Geography ,Health ,030220 oncology & carcinogenesis ,Child, Preschool ,Medical and Health sciences ,purl.org/becyt/ford/3 [https] ,medicine.medical_specialty ,School-aged adolescents ,Socio-culturale ,lapset (ikäryhmät) ,Nursing ,territories ,ravinto ,purl.org/becyt/ford/3.3 [https] ,03 medical and health sciences ,School Children ,SDG 3 - Good Health and Well-being ,SYSTEMATIC ANALYSIS ,Humans ,school-aged children and adolescents ,Montenegro ,education ,Science & Technology ,Omvårdnad ,Health sciences, Medical and Health sciences ,Ciências médicas e da saúde ,Bayes Theorem ,Anthropometry ,Adolescent Development ,medicine.disease ,TRENDS ,Height and Body-mass Index ,Faculdade de Ciências Sociais ,UNDERNUTRITION ,Height index trajectories ,Height, body mass index, children , epidemiology ,risk factors, growth ,Stature ,Demography ,Settore MED/09 - Medicina Interna ,Internationality ,[SDV]Life Sciences [q-bio] ,030204 cardiovascular system & hematology ,Body-mass index trajectories ,Epidemiology ,Medicine and Health Sciences ,risk factors ,countries ,EPIDEMIOLOGY ,height ,children ,adolescents ,BMI ,030212 general & internal medicine ,painoindeksi ,Child development ,2. Zero hunger ,Medicine(all) ,School age child ,obestity children cardiovascular ,Population Health ,1. No poverty ,Pediatrik ,Public Health, Global Health, Social Medicine and Epidemiology ,3142 Public health care science, environmental and occupational health ,Pooled analysis ,NUTRITION ,Female ,medicine.symptom ,pooled analysis ,Life Sciences & Biomedicine ,terveys ,height, BMI, nutrition, health, children, adolescents ,Adolescent ,growth ,Population ,body-mass ,Population based ,Body-mass index ,Young Adult ,Medicine, General & Internal ,Meta-Analysis as Topic ,General & Internal Medicine ,parasitic diseases ,Weight gain ,School-aged childrens ,Age trajectories ,business.industry ,Height ,Weight ,Body Height ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Malnutrition ,ONSET ,Ciências da Saúde, Ciências médicas e da saúde ,School-aged children ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,business ,terveysriskit ,Estilos de Vida e Impacto na Saúde - Abstract
BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents., METHODS: For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence., FINDINGS: We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls., INTERPRETATION: The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks., Wellcome Trust, AstraZeneca Young Health Programme, EU., peer-reviewed
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- 2020
4. Improved resistance matrix approach for readout of the two-dimensional resistive sensor array
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He Shangshang, Wang Feng, Yu Wang, Wang Qi, Xin-Gang Zhao, and Wu Jianfeng
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0209 industrial biotechnology ,Resistive sensors ,Materials science ,business.industry ,020208 electrical & electronic engineering ,02 engineering and technology ,Crosstalk ,020901 industrial engineering & automation ,visual_art ,Electronic component ,0202 electrical engineering, electronic engineering, information engineering ,visual_art.visual_art_medium ,Optoelectronics ,business ,Instrumentation ,Electronic circuit - Abstract
In the readout circuits of the two-dimensional (2-D) resistive sensor arrays, various auxiliary electrical components were used to reduce their crosstalk errors but resulted in increased circuit complexity. Readout circuits with low-complexity structures were necessary for wearable electronic applications. With only several resistors and a microcontroller, readout circuit based on resistance matrix approach (RMA) achieved low complexity but suffered from small resistance range and large measurement error caused by the output ports’ internal resistances of the microcontroller. For suppressing those negative effects, we firstly proposed an improved resistance matrix approach (IRMA) by additionally sampling the voltages on all driving row electrodes in the RMA. Then the effects of the output ports’ internal resistances and the analog-to-digital converter’s accuracy for the RMA and the IRMA were simulated respectively with NI Multisim 12. Moreover, a prototype readout circuit based on the IRMA was designed and tested in actual experiments. The experimental results demonstrated that the IRMA, though it required more sampling channels and more computations, could be used in those applications needing low complexity, small measurement error and wide resistance range.
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- 2018
5. Minimally invasive surgery for resection of ossification of the ligamentum flavum in the thoracic spine
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Cai Zhaowen, Rui Wang, Zhao Wei, Wu Jianfeng, Chunmei Chen, Shen Chaoxiong, Ran-Ze Cai, and Zhuang Yuandong
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medicine.medical_specialty ,Percutaneous ,Nerve root ,thoracic ,Decompression ,Urology ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Spinal canal ,minimally invasive surgery ,030222 orthopedics ,medicine.diagnostic_test ,business.industry ,Ossification ,Gastroenterology ,Obstetrics and Gynecology ,Magnetic resonance imaging ,3D printing ,Spinal cord ,ossification of ligamentum flavum ,Neurosurgery: Original paper ,Surgery ,medicine.anatomical_structure ,Orthopedic surgery ,medicine.symptom ,business ,030217 neurology & neurosurgery ,tubular retractors - Abstract
Introduction Thoracic ossification of the ligamentum flavum (TOLF) is a common cause of progressive thoracic myelopathy. Surgical decompression is commonly used to treat TOLF. Aim To evaluate the clinical outcomes of microsurgical decompression of TOLF via a paraspinal approach, using a percutaneous tubular retractor system. Material and methods First, three-dimensional (3D) image reconstruction and printed models were made from thin computed tomography scans for each patient. Then, 3D computer-assisted virtual surgery was performed using the 3D reconstruction to calculate the precise location and sizes of the bone window and the angle of insertion of the percutaneous tubular retractor system. In total, 13 patients underwent the surgery through the percutaneous micro channel unilateral vertebral approach under electrophysiological monitoring. Five days after the surgery, increased creatine phosphokinase levels returned to preoperative levels. The Japanese Orthopedic Association (JOA) score was improved and computed tomography reconstruction and magnetic resonance imaging of the thoracic spine showed that decompression was achieved without injuries to the spinal cord or nerve root. The stability of the spine was not affected, nor were any deformities of the spine detected. Finally, nerve functional recovery was achieved with minimal injury to the paraspinal muscle, articulum, spinous process and ligament. Results The mean operative time was 98.23 ±19.10 min, and mean blood loss was 19.77 ±5.97 ml. At a mean follow-up of 13.3 months (median: 12 months), the mean JOA score was 7.54 ±1.13 at the final follow-up, yielding a mean RR of 49.10 ±15.71%. Using The recovery rate, 7 (53.85%) patients had good outcomes, 5 (38.46%) patients had a fair outcome, and 1 (7.69%) patient had poor outcomes, indicating significant improvement by the final follow-up examination (p Conclusions The 3D printed patient model-based microsurgical resection of TOLF via the paraspinal approach can achieve decompression of the spinal canal with minimal complications, faster recovery and improved stability of the vertebral body.
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- 2017
6. Scanning Approaches of 2-D Resistive Sensor Arrays: A Review
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Wu Jianfeng
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Engineering ,business.industry ,010401 analytical chemistry ,Transistor ,Potential method ,Incidence matrix ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Electronic circuit simulation ,0104 chemical sciences ,law.invention ,Matrix (mathematics) ,law ,Integrator ,Electronic engineering ,Electrical and Electronic Engineering ,0210 nano-technology ,business ,Field-programmable gate array ,Instrumentation ,Voltage - Abstract
With scanning approaches of low complexity, the 2-D resistive sensor arrays (RSAs) are used to extract the distribution of sensed variable values (e.g., physical pressure) over the sensing area. This review surveys the scanning approaches of the 2-D RSAs, their evaluation methods, and their applications. The principle of the 2-D RSA with the scanning approach is introduced first. Then, different scanning approaches of RSAs are illustrated. The scanning approaches of RSAs are mainly categorized into the inserting diode method, the inserting transistor method, the passive integrator method, the resistance matrix approach, the incidence matrix approach, the voltage feedback method, the zero potential method, and so on. Next, various evaluation methods of the scanning approaches are presented. The scanning approach’s evaluation methods are categorized into testing of the actual system, analyzing with circuit simulation software, and analyzing with test model. Followed, typical applications of the 2-D RSAs with the scanning approaches and their special requirements are analyzed. Finally, the characteristics of various typical scanning approaches and their development tendency are discussed and investigated in detail.
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- 2017
7. A handwriting input method based on the thermal cue of the fingertip
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Lei Wang, Wu Jianfeng, and Jianqing Li
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Engineering ,Character (computing) ,business.industry ,Applied Mathematics ,020208 electrical & electronic engineering ,010401 analytical chemistry ,Thermistor ,02 engineering and technology ,Condensed Matter Physics ,01 natural sciences ,0104 chemical sciences ,Handwriting ,Computer graphics (images) ,Thermal ,0202 electrical engineering, electronic engineering, information engineering ,Computer vision ,Temperature sensitive ,Input method ,Artificial intelligence ,Electrical and Electronic Engineering ,business ,Instrumentation - Abstract
This paper proposed a handwriting input method based on the thermal cue of the fingertip. During writing or drawing movements of a fingertip on the surface of a temperature sensitive panel, the thermal exchange happened between the fingertip and the panel. In this method, the temperature values of the thermistor array in the temperature sensitive panel could be recorded and the fingertip moving trajectories could be tracked. Thus the handwriting characters written by the fingertip could be recognized. With this method, we then designed a handwriting prototype device with a 16 × 8 thermistor array in the row–column fashion covered its temperature sensitive panel. Finally, digital character input experiments on the handwriting device were performed. The experiment results verified the validity and the feasibility of the handwriting input method based on the thermal cue of the fingertip.
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- 2016
8. Approximate Model of Zero Potential Circuits for the 2-D Networked Resistive Sensor Array
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Jianqing Li and Wu Jianfeng
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Resistive sensors ,Engineering ,business.industry ,010401 analytical chemistry ,Zero (complex analysis) ,Value (computer science) ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Multiplexer ,0104 chemical sciences ,law.invention ,Sampling (signal processing) ,law ,Control theory ,Range (statistics) ,Electrical and Electronic Engineering ,Resistor ,0210 nano-technology ,business ,Instrumentation ,Electronic circuit - Abstract
To fast evaluate the features of the zero potential circuits (ZPCs) for the 2-D networked resistive sensor arrays, such as the setting non-scanned-electrode ZPC, the setting non-scanned-sampling-electrode ZPC, and the setting non-scanned-driving-electrode ZPC, we first proposed the approximate models of the ZPCs with one op-amp. By analyzing the approximate model, we then gave a mathematical expression of the effective equivalent resistor of the element being tested in the ZPCs with one op-amp. Finally, we evaluated the approximate model of the ZPCs with one op-amp by simulation experiments. The results show that the proposed approximate model of the ZPCs with one op-amp is applicable to fast analyze the performance of the resistive sensor array parameters, including array size and the resistance range of the sensitive elements, and the ZPCs’ parameters, including the multiplexers’ switch resistors, the gain of the zero potential op-amp, and the resistance value of the sampling resistor.
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- 2016
9. Cable Crosstalk Suppression in Resistive Sensor Array with 2-Wire S-NSDE-EP Method
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Wu Jianfeng and Lei Wang
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Engineering ,Resistive sensors ,Article Subject ,Equivalent series resistance ,business.industry ,010401 analytical chemistry ,Electrical engineering ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Crosstalk ,Control and Systems Engineering ,lcsh:Technology (General) ,Equipotential ,Electronic engineering ,lcsh:T1-995 ,Electrical and Electronic Engineering ,0210 nano-technology ,business ,Instrumentation - Abstract
With long flexible cables connected to the 1-wire setting non-scanned-driving-electrode equipotential (S-NSDE-EP) circuit, the resistive sensor array modules got flexibility in robotic operations but suffered from the crosstalk problem caused by wire resistances and contacted resistances of the cables. Firstly, we designed a new S-NSDE-EP circuit using two wires for every driving-electrode and every sampling-electrode to reduce the crosstalk caused by the connected cables in the 2D networked resistive sensor array. Then, an equivalent resistance expression of the element being tested (EBT) for this circuit was analytically derived. Then, the 1-wire S-NSDE-EP circuit and the 2-wire S-NSDE-EP circuit were evaluated by simulations. The simulation results show that the 2-wire S-NSDE-EP circuit, though it requires a large number of wires, can greatly reduce the crosstalk error caused by wire resistances and contacted resistances of the cables in the 2D networked resistive sensor array.
- Published
- 2016
10. Effectiveness of personalized 3D printed models for patient education in degenerative lumbar disease
- Author
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Wu Jianfeng, Maochao Zhou, Rui Wang, Liu Shichao, Chunmei Chen, and Zhuang Yuandong
- Subjects
Male ,Models, Anatomic ,3d printed ,medicine.medical_specialty ,Mri imaging ,Disease ,Intervertebral Disc Degeneration ,03 medical and health sciences ,0302 clinical medicine ,Patient satisfaction ,Lumbar ,Patient Education as Topic ,Surveys and Questionnaires ,medicine ,Humans ,Medical physics ,In patient ,030212 general & internal medicine ,Lumbar Vertebrae ,business.industry ,030503 health policy & services ,General Medicine ,Middle Aged ,Magnetic Resonance Imaging ,Patient Satisfaction ,Printing, Three-Dimensional ,Female ,0305 other medical science ,business ,Tomography, X-Ray Computed ,Educational program ,Patient education - Abstract
Objective Three-dimensional printing may play an important role in patients’ education. The objective of this study was to assess the effectiveness of personalized 3D printed models for increasing patient understanding of their medical condition and surgical plan. Methods Forty-five patients with degenerative lumbar diseases were randomized by block design into three groups: educational program presented by CT & MRI imaging (care-as-usual), 3D reconstructions, or personalized 3D printed models. Patients’ level of understanding and satisfaction were evaluated by two questionnaires one day after education. Results Patients educated with personalized 3D printed models demonstrated an expanded level of understanding than patients educated with CT & MRI imaging (care-as-usual) (P < 0.05) and 3D reconstructions (P < 0.05). Personalized 3D printed models also resulted in a higher degree of patient satisfaction (P < 0.05). Conclusions Personalized 3D printed models and 3D reconstructions can simplify and enhance understanding of lumbar anatomy, physiology, and patients’ disease and surgical plan. Personalized 3D printed models also enhance patients’ subjective satisfaction. Practice implications Personalized 3D printed models for patient education are feasible and could be generalized for degenerative lumbar diseases.
- Published
- 2018
11. Design and Crosstalk Error Analysis of the Circuit for the 2-D Networked Resistive Sensor Array
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Jianqing Li, Lei Wang, and Wu Jianfeng
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Resistive sensors ,Interconnection ,Engineering ,Equivalent series resistance ,business.industry ,Electrical engineering ,Row and column spaces ,Multiplexer ,Multiplexing ,law.invention ,law ,Operational amplifier ,Electronic engineering ,Electrical and Electronic Engineering ,Resistor ,business ,Instrumentation - Abstract
By sharing rows and columns, the 2-D networked resistive sensor arrays simplified the interconnect complexity but suffered from the crosstalk problem among its elements. The crosstalk was mainly affected by the multiplexers' resistor, adjacent column elements, adjacent row elements, and array size. First, we designed an improved isolated drive feedback circuit (IIDFC) using one operational amplifier to reduce the crosstalk caused by the adjacent column elements in the 2-D networked resistive sensor array. Then, a mathematical equivalent resistance expression of the element being tested (EBT) for this circuit was analytically derived. Then, the IIDFC and its equivalent resistance expression of the EBT were evaluated by the simulations. The simulation results show that the IIDFC can greatly reduce the crosstalk error caused by the adjacent column elements in the 2-D networked resistive sensor array with the row-column fashion and its resistance expression of the EBT can be used as a general formula to evaluate the performance of the IIDFC.
- Published
- 2015
12. Primary spinal glioblastoma multiforme: A case report and review of the literature
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Ran-Ze Cai, Chen Chunmei, Wu Jianfeng, Cai Zhaowen, Shen Chaoxiong, and Zhao Wei
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Oncology ,medicine.medical_specialty ,Adolescent ,MEDLINE ,chemotherapy ,Aggressive course ,surgery ,03 medical and health sciences ,glioblastoma multiforme ,0302 clinical medicine ,Text mining ,Internal medicine ,medicine ,Combined Modality Therapy ,Humans ,Spinal Cord Neoplasms ,Clinical Case Report ,neoplasms ,radiotherapy ,business.industry ,spinal cord ,General Medicine ,medicine.disease ,Surgery ,030220 oncology & carcinogenesis ,Cervical Vertebrae ,Female ,business ,Glioblastoma ,030217 neurology & neurosurgery ,Research Article - Abstract
Rationale: Primary spinal glioblastoma multiforme (GBM) is a rare clinical entity with an aggressive course and an invariably dismal prognosis. Its clinical characteristics, radiologic and pathologic findings, and treatment protocols have been discussed in a few cases. Patient concerns: A 15-year-old female was admitted to the neurology department with a chief complaint of progressive numbness and weakness in her left upper extremity for 3 months and neck pain for 1 month. Diagnoses: Spinal magnetic resonance imaging showed an intramedullary expansile mass localized between C4 and C7. The diagnosis of GBM was determined on the basis of the histopathological findings after operation. Interventions: Laminotomy and laminoplasty between C4 and C7 were performed, and the tumor was partially resected. The patient was administered focal adjuvant radiotherapy concomitantly with oral chemotherapy following the surgery. Outcomes: With severe neurologic deficits at 13 months after the diagnosis, the patient expired. Lessons: Although therapeutic options have been improving, the prognosis of the primary spinal GBM remains poor. The treatment of primary spinal GBM entered into a central registry and multiple-center cooperation is important in establishing future therapeutic strategies.
- Published
- 2017
13. A Dynamic Compression Scheme for Energy-Efficient Real-Time Wireless Electrocardiogram Biosensors
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Wu Jianfeng, Kan Luo, and Jianqing Li
- Subjects
Lossless compression ,Engineering ,business.industry ,Wavelet transform ,Data_CODINGANDINFORMATIONTHEORY ,Compressed sensing ,Electronic engineering ,Wireless ,ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS ,Dynamic range compression ,Electrical and Electronic Engineering ,business ,Instrumentation ,Wireless sensor network ,Encoder ,Efficient energy use - Abstract
Wireless body sensor networks enabled electrocardiogram (ECG) biosensors are a novel solution for patient-centric telecardiology. With this solution, the prevention and early diagnosis of cardiovascular diseases can be effectively improved. However, the energy efficiency of the present wireless ECG biosensors still needs to be improved. In this paper, a dynamic compression scheme is proposed to deal with the challenge of ultralow power and real-time wireless ECG application. This compression scheme consists of a digital integrate-and-fire sampler and a lossless entropy encoder, which can reduce airtime over energy-hungry wireless links and improve the energy efficiency of the biosensors. The efficiency improvement is evidenced by the experiments using the MIT-BIH arrhythmia database in MICAz node. The lifetime of dc-implemented MICAz node can be extended up to 76.60% with high signal recovery quality. This scheme is also compared with the digital wavelet transform-based and compressed sensing-based compression schemes. All experimental results indicate that the proposed scheme has high-energy efficiency, low computational complexity, less resource consumption, and rapid time response.
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- 2014
14. A Novel Crosstalk Suppression Method of the 2-D Networked Resistive Sensor Array
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Lei Wang, Jianqing Li, Wu Jianfeng, and Aiguo Song
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Resistive sensors ,Engineering ,Improved Isolated Drive Feedback Circuit with Compensation (IIDFCC) ,crosstalk suppression method ,Transducers ,Hardware_PERFORMANCEANDRELIABILITY ,lcsh:Chemical technology ,2-D resistive sensor array ,Biochemistry ,Multiplexer ,Analytical Chemistry ,law.invention ,Feedback ,Crosstalk ,law ,Electronic engineering ,Hardware_INTEGRATEDCIRCUITS ,lcsh:TP1-1185 ,Electrical and Electronic Engineering ,Instrumentation ,Observational error ,Equivalent series resistance ,business.industry ,Communication ,Equipment Design ,Atomic and Molecular Physics, and Optics ,Equipment Failure Analysis ,Transducer ,Resistor ,business ,measurement error ,Voltage ,Hardware_LOGICDESIGN - Abstract
The 2-D resistive sensor array in the row–column fashion suffered from the crosstalk problem for parasitic parallel paths. Firstly, we proposed an Improved Isolated Drive Feedback Circuit with Compensation (IIDFCC) based on the voltage feedback method to suppress the crosstalk. In this method, a compensated resistor was specially used to reduce the crosstalk caused by the column multiplexer resistors and the adjacent row elements. Then, a mathematical equivalent resistance expression of the element being tested (EBT) of this circuit was analytically derived and verified by the circuit simulations. The simulation results show that the measurement method can greatly reduce the influence on the EBT caused by parasitic parallel paths for the multiplexers’ channel resistor and the adjacent elements.
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- 2014
15. VF-NSE method measurement error analysis of networked resistive sensor array
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Wu Jianfeng, Jianqing Li, and Lei Wang
- Subjects
Engineering ,Observational error ,business.industry ,Metals and Alloys ,Electrical engineering ,Hardware_PERFORMANCEANDRELIABILITY ,Condensed Matter Physics ,Column (database) ,Sample (graphics) ,Multiplexer ,Expression (mathematics) ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,law.invention ,law ,Hardware_INTEGRATEDCIRCUITS ,Voltage source ,Electrical and Electronic Engineering ,Resistor ,business ,Instrumentation ,Voltage - Abstract
In this paper, we present a measurement error analysis of the voltage feedback non-scanned-electrode (VF-NSE) method for the 2-D resistive sensors array that shares row and column connections for simplifying interconnections. A mathematical voltage expression for the VF-NSE method has been analytically derived and verified by the circuit simulations, which is affected by the multiplexers’ resistor, the column adjacent elements and the row adjacent elements. Based on this analysis of the VF-NSE method with the sample resistor connected to the voltage source, we examined and proved that the voltage expression is general for analyzing the effect of the multiplexers’ resistor, the column adjacent elements and the row adjacent elements in the networked resistive sensor array.
- Published
- 2014
16. A Solar Power Storage Trolley
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Jianqing Li, Wu Jianfeng, Lei Wang, Li Bo Zhang, and Le Gu
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Engineering ,business.industry ,Photovoltaic system ,Electrical engineering ,Differential (mechanical device) ,General Medicine ,Solar energy ,Solar mirror ,Automotive engineering ,Solar tracker ,Azimuth ,Physics::Space Physics ,Astrophysics::Solar and Stellar Astrophysics ,Astrophysics::Earth and Planetary Astrophysics ,business ,Intensity (heat transfer) ,Solar power - Abstract
In order to improve the accumulating efficiency of solar energy, we designed a trolley with a 2-DOF attitude regulation structure of solar panels. In it, a solar orientation sensor was used to detect the solar orientation and the solar light intensity. A trolley’s differential wheels and a steering engine were used to keep the solar panels of the trolley vertically facing the Sun. At a certain interval, the steering engine adjusted the elevation angle of the solar panels and the trolley’s differential wheels adjusted the solar panels’ azimuth angle. Test experiment results show that the trolley can improve the accumulating efficiency of solar energy.
- Published
- 2013
17. A Novel Two-Wire Fast Readout Approach for Suppressing Cable Crosstalk in a Tactile Resistive Sensor Array
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Wu Jianfeng, Jianqing Li, Aiguo Song, and Wang Yu
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0209 industrial biotechnology ,Resistive sensors ,Engineering ,02 engineering and technology ,lcsh:Chemical technology ,01 natural sciences ,Biochemistry ,Analytical Chemistry ,Crosstalk ,020901 industrial engineering & automation ,Electronic engineering ,Hardware_INTEGRATEDCIRCUITS ,lcsh:TP1-1185 ,Electrical and Electronic Engineering ,Instrumentation ,resistive sensor array ,Observational error ,business.industry ,Communication ,010401 analytical chemistry ,Electrical engineering ,Atomic and Molecular Physics, and Optics ,0104 chemical sciences ,Electrode ,business ,Sensing system ,measurement error ,full 2-wire fast readout approach - Abstract
For suppressing the crosstalk problem due to wire resistances and contacted resistances of the long flexible cables in tactile sensing systems, we present a novel two-wire fast readout approach for the two-dimensional resistive sensor array in shared row-column fashion. In the approach, two wires are used for every driving electrode and every sampling electrode in the resistive sensor array. The approach with a high readout rate, though it requires a large number of wires and many sampling channels, solves the cable crosstalk problem. We also verified the approach’s performance with Multisim simulations and actual experiments.
- Published
- 2016
18. Impregnate pre-made CarboSil 20 80A catheters with S-nitroso-N-acetylpenicilamine (SNAP), a potential method to prevent thrombosis and infection in long-term catheter implantation in freely moving animals
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Wu Jianfeng, Wo Yaqi, Matzger Adam, Major Terry, Brisbois Elizabeth, Colletta Alessandro, Meyerhoff Mark, Xi Chuanwu, Bartlett Robert, and Li Zi
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medicine.medical_specialty ,Histology ,business.industry ,Biomedical Engineering ,Snap ,Bioengineering ,Nitroso ,medicine.disease ,Thrombosis ,Surgery ,chemistry.chemical_compound ,Catheter ,chemistry ,Anesthesia ,Medicine ,business ,Biotechnology - Published
- 2016
19. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants
- Author
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Cesare, Mariachiara Di, Bentham, James, Stevens, Gretchen A., Zhou, Bin, Danaei, Goodarz, Lu, Yuan, Bixby, Honor, Cowan, Melanie J., Riley, Leanne M., Hajifathalian, Kaveh, Fortunato, Lea, Taddei, C., Bennett, James E., Ikeda, Nayu, Khang, Young-Ho, Kyobutungi, Catherine, Laxmaiah, Avula, Li, Yanping, Lin, Hsien-Ho, Miranda, J. Jaime, Mostafa, Aya, Turley, Maria L., Paciorek, Christopher J., Gunter, Marc, Ezzati, Majid, Abdeen, Ziad A., Hamid, Zargar Abdul, Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert, Aekplakorn, Wichai, Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahrens, Wolfgang, Ali, Farhan, Alkerwi, Ala'a, Alvarez-Pedrerol, Mar, Aly, Eman, Amouyel, Philippe, Amuzu, Antoinette, Andersen, Lars Bo, Anderssen, Sigmund A., Andrade, Dolores S., Anjana, Ranjit Mohan, Aounallah-Skhiri, Hajer, Ariansen, Inger, Aris, Tahir, Arlappa, Nimmathota, Arveiler, Dominique, Assah, Felix K., Avdicova, Maria, Azizi, Fereidoun, Babu, Bontha V., Balakrishna, Nagalla, Bandosz, Piotr, Banegas, Jose R., Barbagallo, Carlo M., Barcelo, Alberto, Barkat, Amina, Barros, Mauro V., Bata, Iqbal, Batieha, Anwar M., Batista, Rosangela L., Baur, Louise A., Beaglehole, Robert, Romdhane, H. B., Benet, Mikhail, Bernabe-Ortiz, Antonio, Bernotine, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K., Bhatti, Zaid, Bhutta, Zulfiqar A., Bi, HongSheng, Bi, Yufang, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B., Bjorkelund, Cecilia, Blake, Margaret, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M., Boehm, Bernhard O., Boeing, Heiner, Boissonnet, Carlos P., Bongard, Vanina, Bovet, Pascal, Bradbury, Mark, Bragt, Marjolijn C. E., Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Brenner, Hermann, Brewster, Lizzy M., Brian, Garry R., Bruno, Graziella, Bueno-de-Mesquita, H. B., Bugge, Anna, Burns, C., Leon, Antonio Cabrera de, Cacciottolo, Joseph, Cama, Tilema, Cameron, Christine, Camolas, Jose, Can, Gunay, Candido, Ana Paula C., Capuano, Vincenzo, Cardoso, Viviane C., Carvalho, Maria J., Casanueva, Felipe F., Casas, Juan-Pablo, Caserta, Carmelo A., Castetbon, Katia, Chamukuttan, Snehalatha, Chan, Angelique W., Chan, Queenie, Chaturvedi, Himanshu K., Chaturvedi, Nishi, Chen, Chien-Jen, Chen, Fangfang, Chen, Shuohua, Chen, Y. Z., Cheng, Ching-Yu, Chetrit, Angela, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Cho, Yumi, Christensen, Kaare, Chudek, Jerzy, Cifkova, Renata, Claessens, Frank, Clays, Els, Concin, Hans, Cooper, Cyrus, Cooper, Rachel, Coppinger, Tara C., Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L., Crujeiras, Ana B., D'Arrigo, Graziella, d'Orsi, Eleonora, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T., Dankner, Rachel, Dauchet, Luc, Backer, Guy De, Bacquer, Dirk De, Gaetano, Giovanni de, Hanauw, Stefaan De, Smedt, Delphine De, Deepa, Mohan, Deev, Alexander D., Dehghan, Abbas, Delisle, Helene, Delpeuch, Francis, Dhana, Klodian, Castelnuovo, Augusto F. Di, Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Djalalinia, Shirin, Do, Ha T. P., Dobson, Annette J., Donfrancesco, Chiara, Döring, A., Doua, Kouamelan, Drygas, Wojciech, Egbagbe, Eruke E., Eggertsen, Robert, Ekelund, Ulf, Ati, Jalila El, Elliott, Paul, Engle-Stone, Reina, Erasmus, Rajiv T., Erem, Cihangir, Eriksen, Louise, Peña, J. E. De La, Evans, Alun, Faeh, David, Fall, Caroline H., Farzadfar, Farshad, Felix-Redondo, Francisco J., Ferguson, Trevor S., Fernandez-Berges, Daniel, Ferrante, Daniel, Ferrari, Marika, Ferreccio, Catterina, Ferrieres, Jean, Finn, Joseph D., Fischer, Krista, Flores, E. M., Foeger, Bernhard, Foo, Leng Huat, Forslund, Ann-Sofie, Fortmann, Stephen P., Fouad, Heba M., Francis, Damian K., Franco, M. Do Carmo, Franco, Oscar H., Frontera, Guillermo, Fuchs, Flavio D., Fuchs, Sandra C., Fujita, Yuki, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Gareta, Dickman, Garnett, Sarah P., Gaspoz, Jean-Michel, Gasull, Magda, Gates, Louise, Geleijnse, Johanna M., Ghasemian, Anoosheh, Giampaoli, Simona, Gianfagna, Francesco, Giovannelli, Jonathan, Giwercman, Aleksander, Goldsmith, Rebecca A., Gross, M. G., Rivas, J. P. G., Gorbea, M. B., Gottrand, Frederic, Graff-Iversen, Sidsel, Grafnetter, Dusan, Grajda, Aneta, Grammatikopoulou, Maria G., Gregor, Ronald D., Grodzicki, Tomasz, Grontved, Anders, Gruden, Grabriella, Grujic, Vera, Gu, Dongfeng, Guan, Ong Peng, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L., Gulliford, Martin C., Gunnlaugsdottir, Johanna, Guo, Xiu H., Guo, Yin, Gupta, Prakash C., Gureje, Oye, Gurzkowska, Beata, Gutierrez, Laura, Gutzwiller, Felix, Halkjaer, Jytte, Hardy, Rebecca, Kumar, Rachakulla Hari, Hayes, Alison J., He, Jiang, Hendriks, Marleen Elisabeth, Cadena, L. H., Heshmat, Ramin, Hihtaniemi, Ilpo Tapani, Ho, Sai Yin, Ho, Suzanne C., Hobbs, Michael, Hofman, Albert, Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Hussieni, Abdullatif S., Huu, C. N., Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iannone, Anna G., Ibrahim, Mohsen M., Ikram, M. Arfan, Irazola, Vilma E., Islam, Muhammad, Iwasaki, Masanori, Jackson, Rod T., Jacobs, Jeremy M., Jafar, Tazeen, Jamil, Kazi M., Jamrozik, Konrad, Jasienska, Grazyna, Jiang, Chao Qiang, Joffres, Michel, Johansson, Mattias, Jonas, Jost B., Jorgensen, Torben, Joshi, Pradeep, Juolevi, Anne, Jurak, Gregor, Juresa, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kalter-Leibovici, Ofra, Kapantais, Efthymios, Kasaeian, Amir, Katz, Joanne, Kaur, Prabhdeep, Kavousi, Maryam, Keil, Ulrich, Boker, Lital Keinan, Kelishadi, Roya, Kemper, Han C. G., Kengne, Andre Pascal, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee H., Khouw, Ilse M. S. L., Kiechl, Stefan, Killewo, Japhet, Kim, Jeongseon, Kiyohara, Yutaka, Klimont, Jeannette, Kolle, Elin, Kolsteren, Patrick, Korrovits, Paul, Koskinen, Seppo, Kouda, Katsuyasu, Koziel, Slawomir, Kratzer, Wolfgang, Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S., Kula, Krzysztof, Kulaga, Zbigniew, Kumar, R. Krishna, Kusuma, Yadlapalli S., Kuulasmaa, Kari, Laamiri, Fatima Zahra, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Laugsand, Lars E., Bao, K. Le Nguyen, Le, Tuyen D., Leclercq, Catherine, Lee, Jeannette, Lehtimaki, Terho, Lekhraj, Rampal, Leon-Munoz, Luz M., Lim, Wei-Yen, Lima-Costa, M. F., Lin, Xu, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Jing, Lorbeer, Roberto, Lotufo, Paulo A., Lozano, J. E., Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lytsy, Per, Ma, Guansheng, Machi, Suka, Maggi, Stefania, Magliano, Dianna J., Makdisse, Marcia, Malekzadeh, Reza, Malhotra, Rahul, Rao, Kodavanti Mallikharjuna, Manios, Yannis, Mann, Jim I., Manzato, Enzo, Margozzini, Paula, Markey, Oonagh, Marques-Vidal, Pedro, Marrugat, Jaume, Martin-Prevel, Yves, Martorell, Reynaldo, Masoodi, Shariq R., Matsha, Tandi E., Mazur, Artur, Mbanya, Jean Claude N., McFarlane, Shelly R., McGarvey, Stephen T., McKee, Martin, McLachlan, Stela, McLean, Rachael M., McNulty, Breige A., Yusof, S. Md, Mediene-Benchekor, Sounnia, Meirhaeghe, Aline, Meisinger, Christa, Mendes, Larissa L., Menezes, Ana Maria B., Mensink, Gert B. M., Meshram, Indrapal I., Metspalu, Andres, Mi, Jie, Michaelsen, Kim F., Mikkel, Kairit, Miller, Jody C., Miquel, J. F., Misigoj-Durakovic, Marjeta, Mohamed, Mostafa K., Mohammad, Kazem, Mohammadifard, Noushin, Mohan, Viswanathan, Yusoff, Muhammad Fadhli Mohd, Molbo, Drude, Moller, Niels C., Molnar, Denes, Mondo, Charles K., Monterrubio, Eric A., Monyeki, Kotsedi Daniel K., Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morgan, Karen, Mortensen, Erik Lykke, Moschonis, George, Mossakowska, Malgorzata, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Mu, Thet Thet, Muiesan, Maria Lorenza, Mueller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Murtagh, Elaine M., Musa, Kamarul Imran, Musil, Vera, Nagel, Gabriele, Nakamura, Harunobu, Namesna, Jana, Nang, E. E. K., Nangia, Vinay B., Nankap, Martin, Narake, Sameer, Navarrete-Muñoz, E. M., Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Neuhauser, Hannelore K., Nguyen, Nguyen D., Nieto-Martinez, Ramfis E., Ning, Guang, Ninomiya, Toshiharu, Nishtar, Sania, Noale, Marianna, Norat, Teresa, Noto, Davide, Nsour, Mohannad Al, O'Reilly, Dermot, Ochoa-Avilés, A. M., Oh, Kyungwon, Olayan, Iman H., Olinto, M. T. A., Oltarzewski, Maciej, Omar, Mohd A., Onat, Altan, Ordunez, Pedro, Ortiz, Ana P., Osler, Merete, Osmond, Clive, Ostojic, Sergej M., Otero, Johanna A., Overvad, Kim, Paccaud, Fred Michel, Padez, Cristina, Pajak, Andrzej, Palli, Domenico, Palloni, Alberto, Palmieri, Luigi, Panda-Jonas, Songhomitra, Panza, Francesco, Parnell, Winsome R., Parsaeian, Mahboubeh, Pednekar, Mangesh S., Peeters, Petra H., Peixoto, Sergio Viana, Pereira, Alexandre C., Perez, Cynthia M., Peters, Annette, Peykari, Niloofar, Pham, S. T., Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Piwonski, J., Plans-Rubio, Pedro, Poh, Bee Koon, Porta, Miquel, Portegies, Marileen L. P., Poulimeneas, Dimitrios, Pradeepa, Rajendra, Prashant, Mathur, Price, Jacqueline F., Puiu, Maria, Punab, Margus, Qasrawi, Radwan F., Qorbani, Mostafa, Bao, T. Q., Radic, Ivana, Radisauskas, Ricardas, Rahman, Mahmudur, Raitakari, Olli, Raj, Manu, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramke, Jacqueline, Ramos, Rafel, Rampal, Sanjay, Rasmussen, Finn, Redon, Josep, Reganit, Paul Ferdinand M., Ribeiro, Robespierre, Riboli, Elio, Rigo, Fernando, Wit, Tobias Floris Rinke de, Ritti-Dias, Raphael M., Rivera, Juan A., Robinson, Sian M., Robitaille, Cynthia, Rodriguez-Artalejo, Fernando, Rodriguez-Perez, Maria del Cristo, Rodriguez-Villamizar, Laura A., Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Ronkainen, Kimmo, Rosengren, Annika, Rouse, Ian, Rubinstein, Adolfo, Ruhli, Frank J., Rui, Ornelas, Ruiz-Betancourt, B. S., Horimoto, Andrea R. V. Russo, Rutkowski, Marcin, Sabanayagam, Charumathi, Sachdev, Harshpal S., Saidi, Olfa, Salanave, Benoit, Martinez, E. S., Salomaa, Veikko, Salonen, Jukka T., Salvetti, Massimo, Sanchez-Abanto, Jose, Sandjaja, Sans, Susana, Santos, Diana A., Santos, Osvaldo, Santos, Renata Nunes dos, Santos, Rute, Sardinha, Luis B., Sarrafzadegan, Nizal, Saum, Kai-Uwe, Savva, Savvas C., Scazufca, Marcia, Rosario, Angelika Schaffrath, Schargrodsky, Herman, Schienkiewitz, Anja, Schmidt, Ida Maria, Schneider, Ione J., Schultsz, Constance, Schutte, Aletta E., Sein, Aye Aye, Sen, Abhijit, Senbanjo, Idowu O., Sepanlou, Sadaf G., Shalnova, Svetlana A., Shaw, Jonathan E., Shibuya, Kenji, Shin, Youchan, Shiri, Rahman, Siantar, Rosalynn, Sibai, Abla M., Silva, Antonio M., Silva, D. A. S., Simon, Mary, Simons, Judith, Simons, Leon A., Sjostrom, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, Smith, Margaret C., Snijder, Marieke B., So, Hung-Kwan, Sobngwi, Eugene, Soderberg, Stefan, Soekatri, Moesijanti Y. E., Solfrizzi, Vincenzo, Sonestedt, Emily, Sorensen, Thorkild I. A., Soric, Maroje, Jerome, Charles Sossa, Soumare, Aicha, Staessen, Jan A., Starc, Gregor, Stathopoulou, Maria G., Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D., Stergiou, George S., Stessman, Jochanan, Stieber, Jutta, Stöckl, D., Stocks, Tanja, Stokwiszewski, Jakub, Stratton, Gareth, Strufaldi, Maria Wany, Sun, C. A., Sundstroem, Johan, Sung, Y. T., Sunyer, Jordi, Suriyawongpaisal, Paibul, Swinburn, Boyd A., Sy, Rody G., Szponar, Lucjan, Tai, E. Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tang, Line, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B., Taylor, Anne, Tchibindat, Felicite, Thijs, Lutgarde, Thuesen, Betina H., Tjonneland, Anne, Tolonen, Hanna K., Tolstrup, Janne S., Topbas, Murat, Topor-Madry, Roman, Torrent, Maties, Traissac, Pierre, Trichopoulou, Antonia, Trichopoulos, Dimitrios, Trinh, Oanh T. H., Trivedi, Atul, Tshepo, Lechaba, Tulloch-Reid, Marshall K., Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Tynelius, Per, Tzotzas, Themistoklis, Tzourio, Christophe, Ueda, Peter, Ukoli, Flora A. M., Ulmer, Hanno, Unal, Belgin, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, Schouw, Yvonne T. van der, Herck, Koen Van, Minh, H. Van, Valkengoed, Irene G. M. van, Vanderschueren, Dirk, Vanuzzo, Diego, Vatten, Lars, Vega, Tomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, W. M. Monique, Viegi, Giovanni, Viet, Lucie, Viikari-Juntura, Eira, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K., Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vollenweider, Peter, Voutilainen, Sari, Vrijheid, Martine, Wade, Alisha N., Wagner, A. Fink, Walton, Janette, Mohamud, Wan Nazaimoon Wan, Wang, Ming-Dong, Wang, Qian, Wang, Ya Xing, Wannamethee, S. Goya, Wareham, Nicholas, Weerasekera, Deepa, Whincup, Peter H., Widhalm, Kurt, Widyahening, Indah S., Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Wojtyniak, Bogdan, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C., Wu, Jianfeng, Wu, Shou Ling, Xu, Haiquan, Xu, Liang, Yamborisut, Uruwan, Yan, Weili, Yang, Xiaoguang, Yardim, Nazan, Ye, Xingwang, Yiallouros, Panayiotis K., Yoshihara, Akihiro, You, Qi Sheng, Younger-Coleman, Novie O., Yusoff, Ahmad F., Zainuddin, Ahmad A., Zambon, Sabina, Zdrojewski, Tomasz, Zeng, Yi, Zhao, Dong, Zhao, Wenhua, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Dan, Zimmermann, Esther, Cisneros, Julio Zuniga, NCD Risk Factor Collaboration (NCD-RisC), Di Cesare, M., Bentham, J., Stevens, G.A., Zhou, B., Danaei, G., Lu, Y., Bixby, H., Cowan, M.J., Riley, L.M., Hajifathalian, K., Fortunato, L., Taddei, C., Bennett, J.E., Ikeda, N., Khang, Y.H., Kyobutungi, C., Laxmaiah, A., Li, Y., Lin, H.H., Miranda, J.J., Mostafa, A., Turley, M.L., 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[0000-0002-8339-9285], NCD Risk Factor Collaboration (ukupan broj autora: 754), Repositório da Universidade de Lisboa, Di Cesare M, Bentham J, Stevens GA, Zhou B, Danaei G, Lu Y, Bixby H, Cowan MJ, Riley LM, Hajifathalian K, Fortunato L, Taddei C, Bennett JE, Ikeda N, Khang Y-O, Kyobutungi C, Laxmaiah A, Li Y, Lin H-O, Miranda JJ, Mostafa A, Turley ML, Gunter M, Ezzati M, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Adams R, Aekplakorn W, Aguilar-Salinas CA, Ahmadvand A, Ahrens W, Ali MM, Ala'a Alkerwi A, Alvarez-Pedrerol M, Aly E, Amouyel P, Antoinette Amuzu A, Andersen LB, Anderssen SA, Andrade DS, Anjana RM, Aounallah-Skhiri H, Ariansen I, Aris T, Arlappa N, Arveiler D, Assah FK, Avdicová M, Azizi F, Babu BV, Balakrishna N, Bandosz P, Banegas. JR, Barbagallo CM, Barceló A, Barkat A, Barros MV, Bata I, Batieha AM, Batista RL, Baur LA, Beaglehole R, Romdhane HB, Benet M, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhagyalaxmi A, Bharadwaj S, Bhargava SH, Bhatti Z, Bhutta ZA, Bi HS, Bi Y, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Blake M, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boeing H, Boissonnet CP, Bongard V, Bovet P, Braeckman L, Bragt MCE, Brajkovich I, Branca F, Breckenkamp J, Brenner H, Brewster LM, Brian GR, Bruno G, Bueno-de-Mesquita HB, Bugge A, Burns C, de León CA, Cacciottolo J, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Capuano V, Cardoso VC, Carvalho MJ, Casanueva FF, Casas J-P, Caserta CA, Castetbon K, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Nishi Chaturvedi N, Chen C-J, Chen F, Chen H, Chen S, Chen Z, Cheng C-Y, Chetrit A, Chiolero A, Chiou S-T, Chirita-Emandi A, Cho Y, Kaare Christensen K, Chudek J, Renata Cifkova R, Claessens F, Clays E, Concin H, Cooper C, Cooper R, Coppinger TC, Costanzo C, Cottel D, Cowell C, Craig CL, Crujeiras AB, D'Arrigo G, d'Orsi E, Dallongeville J, Damasceno A, Damsgaard CT, Dankner R, Luc Dauchet L, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, De Smedt D, Deepa M, Deev AD, Dehghan A, Delisle H, Delpeuch F, Dhana K, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Djalalinia S, Do HTP, Dobson AJ, Donfrancesco C, Döring A, Doua K, Drygas W, Egbagbe EE, Eggertsen R, Ekelund U, El Ati J, Elliott P, Engle-Stone R, Erasmus RT, Erem C, Eriksen L, Escobedo-de la Peña J, Evans A, Faeh D, Fall CH, Farshad Farzadfar F, Felix-Redondo FJ, Ferguson TS, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrieres J, Finn JD, Fischer K, Monterubio Flores E, Föger B, Foo LH, Forslund A-S, Fortmann SP, Fouad HM, Francis DK, Franco MdC, Franco OH, Guillermo Frontera G, Fuchs FH, Fuchs SC, Fujita Y, Furusawa T, Gaciong Z, Gafencu M, Gareta D, Garnett SP, Gaspoz J-M, GasulL M, Gates L, Geleijnse JM, Ghasemian A, Giampaoli S, GianfagnA F, Giovannelli J, Giwercman A, Goldsmith RA, Gonzalez Gross M, González Rivas JP, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøntved A, Gruden G, Grujic V, Gu D, Guan OP, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Guo XK, Guo Y, Gupta PC, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Halkjær J, Hardy R, Kumar RH, Hayes AJ, He J, Hendriks ME, Hernandez Cadena L, Heshmat R, Hihtaniemi IP, Sai SY, Ho SC, Hobbs M, Hofman A, Hormiga CM, Horta BH, Houti L, Htay TT, Htet AS, Htike MMT, Hu Y, Hussieni HS, Huu CN, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Ikram MA, Irazola VE, Islam M, Iwasaki M, Jackson RT, Jacobs JM, Tazeen Jafar T, Jamil KM, Jamrozi K, Jasienska G, Jiang CQ, Joffres M, Johansson M, Jonas JB, Jørgensen T, Joshi P, Juolevi A, Jurak G, Vesna Jureša V, Kaaks R, Kafatos A, Kalter-Leibovici O, Kapantais E, Kasaeian A, Katz J, Kaur P, Kavousi M, Keil U, Keinan Boker L, Kelishadi R, Kemper HHCG, Kengne AP, Kersting M, Key T, Khader YS, Khalili D, Khang Y-H, Kay-Tee H Khaw K-TH, Khouw LMSL, Kiechl S, Killewo J, Kim J, Kiyohara Y, Klimont J, Kolle E, Kolsteren P, Korrovits P, Koskinen S, Kouda K, Koziel S, Kratzer W, Krokstad S, Kromhout D, Kruger HS, Kula K, Kulaga Z, Kumar RK, Kusuma YS, Kuulasmaa K, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Landrove O, Lanska V, Lappas G, Laugsand LE, Nguyen Bao KL, Le TD, Leclercq C, Lee J, Jeonghee Lee J, Lehtimäki T, Lekhraj R, León-Muñoz LM, Lim W-Y, M Fernanda Lima-Costa MF, Lin H-H, Lin X, Linneberg A, Lissner L, Litwin M, Liu J, Lorbeer R, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lunet N, Lytsy P, Ma G, Machi S, Maggi S, Magliano DJ, Makdisse M, Malekzadeh R, Malhotra R, Mallikharjuna Rao K, Manios Y, Mann JI, Manzato E, Margozzini P, Markey O, Marques-Vidal P, Marrugat P, Martin-Prevel Y, Martorell R, Masoodi SR, Matsha TE, Mazur A, Mbanya JCN, McFarlane SR, McGarvey ST, McKee M, McLachlan S, McLean RM, McNulty BA, Md Yusof S, Mediene-Benchekor S, Meirhaeghe A, Meisinger A, Mendes LL, Menezes AMB, Mensink GBM, Meshram II, Metspalu A, Mi JM, Michaelsen KF, Miller JC, Miquel JF, Mišigoj-Duraković M, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Mohd Yusoff MF, Molbo D, Møller NC, Molnár D, Mondo CK, Monterrubio EA, Monyeki KDK, Leila B Moreira LB, Morejon A, Moreno LA, Morgan K, Mortensen EL, Moschonis G, Mossakowska M, Mota J, Motlagh ME, Motta J, Mu TT, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Musa KI, Musil V, Nagel G, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Navarrete-Muñoz EM, Nenko I, Neovius M, Nervi F, Neuhauser HK, Nguyen ND, Ngoc Nguyen Q, Nieto-Martínez RE, Ning G, Ninomiya T, Nishtar S, Noale M, Norat T, Noto D, Al Nsour M, O'Reilly D, Ochoa-Avilés AM, Oh K, Olayan IH, Olinto MTA, Oltarzewski M, Omar MA, Onat A, Ordunez P, Ortiz AP, Osler M, Osmond C, Ostojic AM, Otero JA, Overvad K, Paccaud F, Padez C, Pajak A, Palli D, Palloni A, Palmieri L, Panda-Jonas S, Panza F, Parnell WR, Parsaeian M, Pednekar MS, Peeters PH, Peixoto SV, Pereira AC, Pérez CM, Peters A, Peykari N, Pham ST, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Piwonski J, Pedro Plans-Rubió P, Poh BK, Porta M, Portegies MLP, Poulimeneas D, Pradeepa R, Prashant M, Price JF, Puiu M, Punab M, Qasrawi RF, Qorbani M, Quoc Bao T, Radic I, Ricardas Radisauskas R, Rahman M, Raitakari O, Raj M, Ramachandra Rao S, Ramachandran A, Ramke J, Ramos R, Rampal S, Rasmussen F, Redon J, Reganit PFM, Robespierre Ribeiro R, Riboli E, Rigo F, Rinke de Wit TF, Ritti-Dias RM, Juan A Rivera JA, Robinson SM, Robitaille C, Rodríguez-Artalejo F, Rodriguez-Perez MdC, Rodríguez-Villamizar LA, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Ronkainen K, Rosengren A, Rouse I, Rubinstein A, Rühli FJ, Rui O, Ruiz-Betancourt BS, Russo Horimoto ARV, Rutkowski M, Sabanayagam C, Sachdev HS, Saidi O, Salanave B, Salazar Martinez E, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sandjaja A, Sans S, Santos DA, Santos O, dos Santos RN, Santos R, Sardinha LB, Sarrafzadegan N, Saum K-U, Savva SC, Scazufca M, Schaffrath Rosario A, Schargrodsky H, Schienkiewitz A, Schmidt IM, Schneider IJ, Schultsz C, Schutte AE, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Shalnova SA, Shaw JE, Shibuya K, Shin Y, Shiri R, Siantar R, Sibai AM, Silva AM, Simon M, Simons J, Simons LA, Sjostrom M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Smith MC, Snijder MB, So H-K, Sobngwi E, Söderberg S, Soekatri MYE, Solfrizzi V, Sonestedt E, Sørensen TIA, Sorić M, Sossa Jérome C, Soumare A, Staessen JA, Starc G, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stratton G, Strufaldi MW, Chien-An Sun C-A, Sundström J, Sung Y-T, Sunyer J, Suriyawongpaisal P, Swinburn BA, Sy RG, Szponar L, E Shyong Tai E, Tammesoo M-L, Tamosiunas A, Tang L, Tang X, Tanser F, Tao Y, Tarawneh M, Jakob Tarp J, Tarqui-Mamani CB, Taylor A, Félicité Tchibindat F, Thijs L, Thuesen BH, Tjonneland A, Tolonen HK, Janne S Tolstrup JS, Topbas M, Topór-Madry R, Torrent M, Traissac P, Trichopoulos D, Trinh OTH, Trivedi A, Tshepo L, Tulloch-Reid MK, Tuomainen T-P, Tuomilehto J, Tynelius P, Tzotzas T, Tzourio C, Ueda P, Ukoli FAM, Ulmer H, Unal B, Valdivia G, Susana Va S, Valvi D, van der Schouw YT, Van Herck K, Van Minh H, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Vatten L, Vega T, Velasquez-Melendez G, Veronesi G, Verschuren WMM, Viegi G, Viet L, Viikari-Juntura E, Vineis P, Vioque P, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vollenweider P, Voutilainen S, Vrijheid M, Wade AN, Wagner A, Walton J, Wan Mohamud WN, Wang M-D, Wang Q, Wang YX, Wannamethee SG, Wareham N, Deepa Weerasekera D, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wilks RJ, Willeit J, Wojtyniak B, Wong, Wong TY, Woo J, Woodward M, Wu FC, JianFeng Wu JF, Wu SL, Xu H, Xu L, Yamborisut U, Yan W, Yang X, Yardim N, Ye X, Yiallouros PK, Yoshihara A, Qi Sheng You QS, Younger-Coleman NO, Yusoff AF, Ahmad A Zainuddin AA, Zambon S, Zdrojewski T, Zeng Y, Zhao D, Zhao W, Zheng Y, Zhou M, Zhu D, Zimmermann E, Zuñiga Cisneros J, General Internal Medicine, AII - Amsterdam institute for Infection and Immunity, Public and occupational health, Global Health, and APH - Amsterdam Public Health
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Male ,Obesidad ,CHILDREN ,Salud ,Review ,países desarrollados ,Global Health ,Body Mass Index ,Body mass index, population study ,0302 clinical medicine ,Models ,Factores de riesgo cardiovascular ,Medicine ,body mass index ,underweight ,overweight ,obesity ,Young adult ,Human Nutrition & Health ,education.field_of_study ,Humane Voeding & Gezondheid ,General Medicine ,ASSOCIATION ,11 Medical And Health Sciences ,adulto ,predicción ,adulto joven ,CARDIOVASCULAR-DISEASE ,thinness/epidemiology ,NONCOMMUNICABLE DISEASES ,NCD Risk Factor Collaboration (NCD-RisC) ,Enfermedades cardiovasculares ,Developed country ,teorema de Bayes ,Medical sciences ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Thinness ,Humans ,education ,Developing Countries ,obesidad ,VLAG ,Science & Technology ,Models, Statistical ,CAUSE-SPECIFIC MORTALITY ,Bayes Theorem ,medicine.disease ,QP ,Obesity ,adult body-mass ,Indice de masa corporal (IMC) ,RISK-FACTORS ,Adolescent ,Adult ,Developed Countries ,Female ,Forecasting ,Obesity/epidemiology ,Prevalence ,Thinness/epidemiology ,Young Adult ,RA ,Body mass index ,Demography ,Meta-Analysis ,Gerontology ,Settore MED/09 - Medicina Interna ,Nutrition and Disease ,humanos ,adolescente ,Overweight ,países en desarrollo ,Voeding en Ziekte ,Medicine and Health Sciences ,Global health ,030212 general & internal medicine ,Non-U.S. Gov't ,Medicine (all) ,Research Support, Non-U.S. Gov't ,prevalencia ,Public Health, Global Health, Social Medicine and Epidemiology ,Statistical ,Underweight ,medicine.symptom ,pooled analysis ,Life Sciences & Biomedicine ,obesity/*epidemiology ,Population ,030209 endocrinology & metabolism ,Research Support ,Medicine, General & Internal ,EPIDEMIC ,General & Internal Medicine ,Journal Article ,Life Science ,ddc:610 ,Obesidad morbida ,OBESITY PREVENTION ,OVERWEIGHT ,business.industry ,índice de masa corporal ,COHORTS ,purl.org/pe-repo/ocde/ford#3.02.00 [https] ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Ciencias socio biomédicas ,business ,delgadez - Abstract
Copyright © NCD Risk Factor Collaboration. Open Access article distributed under the terms of CC BY., Background: Underweight and severe and morbid obesity are associated with highly elevated risks of adverse health outcomes. We estimated trends in mean body-mass index (BMI), which characterises its population distribution, and in the prevalences of a complete set of BMI categories for adults in all countries. Methods: We analysed, with use of a consistent protocol, population-based studies that had measured height and weight in adults aged 18 years and older. We applied a Bayesian hierarchical model to these data to estimate trends from 1975 to 2014 in mean BMI and in the prevalences of BMI categories (, Wellcome Trust, Grand Challenges Canada
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- 2016
20. Optimization of Positive-Negative Phase Objects in 4f Coherent Imaging System for Nonlinear Refraction Index Measurements
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杨俊义 Yang Junyi, 宋瑛林 Song Yinglin, 刘小波 Liu Xiaobo, and 吴建峰 Wu Jianfeng
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Index (economics) ,Materials science ,Optics ,Negative phase ,business.industry ,Phase-contrast imaging ,X-ray optics ,Coherent imaging ,business ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,Nonlinear refraction - Published
- 2009
21. Syringomyelia after operation: diagnosis and its formational mechanism
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Xiao Jianru, Jia Lianshun, Yuan Wen, Tan Junming, Shi Jiangang, Guo-hua Xu, Ni Bin, Wu Jianfeng, Shi Guodong, and Xiao-jian Ye
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medicine.medical_specialty ,Cord ,business.industry ,General Medicine ,Scoliosis ,Spinal cord ,medicine.disease ,Surgery ,Cerebrospinal fluid ,medicine.anatomical_structure ,Spinal cord tumor ,medicine ,Syrinx (medicine) ,Cyst ,business ,Syringomyelia - Abstract
Objective To describe the MRI findings and discuss the pathogenesis formation mechanism of syringomyelia in the patients after spine surgical operation. Methods Totally 13 patients were been enrolled in the study. Before operation, none of our patients presented with spinal cord syringomyelia. The mean follow-up duration was 6 years (range 2–10 months) by MRI. Four of the 13 patients after spinal cord tumor removed operation, 3 patients after spinal trauma operation, 2 cases had scoliosis before, 2 cases were cervical spondylotic myelopathy and 2 cases had tethered cord syndrome before operation. MR features of pre- and post-operation on all patients were been studied in contrast with surgical results and clinical symptoms. The radiology diagnostic was made by 3 different radiologists respectively. The characteristics of length, width, signals, shape of cavity and spinal cord position as well as subarachnoid shape were focused on. Results All the patients had no syringomyelia on MRI before operation. The spinal cord of 7 patients showed persist compression and 2 patients had tethered cord before operation. MRI features of syringomyelia after operation in our cases showed longitudinal cavity with syrinx fluid had T1 and T2 relation characteristics of cerebrospinal fluid (CSF). The mean length was 5.5 spinal segment, 4 cord of 13 patients presented cord compressed from anterior materials, 4 occurred postoperative adhesion to the back of lumbar spinal canal and spinal cord of 1 cases clung to the front wall of cervical spinal canal. Conclusion The mechanism of syringomyelia in the patients after spinal surgical intervention may be the persisting compression or intention of the spinal cord in the period of pre- or post-operation. The edema, cyst, malacia of spinal cord are the most important lesions and risk factors resulted in the syringomyelia.
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- 2008
22. An Improved Zero Potential Circuit for Readout of a Two-Dimensional Resistive Sensor Array
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Wu Jianfeng, Wang Feng, Wang Qi, Jianqing Li, and Aiguo Song
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Accuracy and precision ,Engineering ,Resistive sensors ,zero potential circuit ,02 engineering and technology ,lcsh:Chemical technology ,01 natural sciences ,Biochemistry ,the 2-D resistive sensor array ,improved zero potential circuit ,measurement ,crosstalk ,Article ,Analytical Chemistry ,law.invention ,law ,Negative feedback ,Hardware_INTEGRATEDCIRCUITS ,Electronic engineering ,lcsh:TP1-1185 ,Electrical and Electronic Engineering ,Instrumentation ,Electronic circuit ,business.industry ,010401 analytical chemistry ,Electrical engineering ,021001 nanoscience & nanotechnology ,Atomic and Molecular Physics, and Optics ,0104 chemical sciences ,Electrode ,Operational amplifier ,Equivalent circuit ,Resistor ,0210 nano-technology ,business - Abstract
With one operational amplifier (op-amp) in negative feedback, the traditional zero potential circuit could access one element in the two-dimensional (2-D) resistive sensor array with the shared row-column fashion but it suffered from the crosstalk problem for the non-scanned elements’ bypass currents, which were injected into array’s non-scanned electrodes from zero potential. Firstly, for suppressing the crosstalk problem, we designed a novel improved zero potential circuit with one more op-amp in negative feedback to sample the total bypass current and calculate the precision resistance of the element being tested (EBT) with it. The improved setting non-scanned-electrode zero potential circuit (S-NSE-ZPC) was given as an example for analyzing and verifying the performance of the improved zero potential circuit. Secondly, in the S-NSE-ZPC and the improved S-NSE-ZPC, the effects of different parameters of the resistive sensor arrays and their readout circuits on the EBT’s measurement accuracy were simulated with the NI Multisim 12. Thirdly, part features of the improved circuit were verified with the experiments of a prototype circuit. Followed, the results were discussed and the conclusions were given. The experiment results show that the improved circuit, though it requires one more op-amp, one more resistor and one more sampling channel, can access the EBT in the 2-D resistive sensor array more accurately.
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- 2016
23. Compressed sensing for wireless pulse wave signal acquisition
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Yang Hua, Wu Jianfeng, Jianqing Li, Zhipeng Cai, and Kan Luo
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Compressed sensing ,business.industry ,Computer science ,Electronic engineering ,Discrete cosine transform ,Wireless ,Node (circuits) ,business ,Wireless sensor network ,Signal ,Energy (signal processing) ,Efficient energy use - Abstract
Wireless-enable pulse wave (PW) biosensor is generally used for pervasive and non-invasive health care monitoring. However, the energy efficiency of the present devices still needs to be improved due to the high energy consumption during wireless communication. In this paper, a compressed sensing (CS) scheme for wireless PW signal acquisition is proposed. With the CS-based scheme, airtime over energy-hungry wireless links can be reduced and energy efficiency of the wireless biosensor can be improved. PW signal is sparse under the discrete cosine transform (DCT) basis. Therefore, the CS-based scheme can efficiently compress and recover the signal by the 1-bit sparse quasi-Toeplitz measurement matrix and the basis pursuit de-noising (BPDN) model. The efficiency improvement of node was evidenced by the practical experiments on a MICAz node. By using the proposed scheme, the average percentage root-mean-square difference (PRD) of 4.23%, energy saving of 35.15% and node prolonging of 54.20% can be achieved.
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- 2013
24. Cable Crosstalk Suppression with Two-Wire Voltage Feedback Method for Resistive Sensor Array
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Wu Jianfeng, He Shangshang, Jianqing Li, and Aiguo Song
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Engineering ,Resistive sensors ,Hardware_PERFORMANCEANDRELIABILITY ,02 engineering and technology ,lcsh:Chemical technology ,01 natural sciences ,Biochemistry ,Article ,Analytical Chemistry ,Hardware_INTEGRATEDCIRCUITS ,Electronic engineering ,lcsh:TP1-1185 ,Electrical and Electronic Engineering ,Instrumentation ,networked resistive sensor array ,measurement error ,one-wire VF-NSDE circuit ,two-wire VF-NSDE circuit ,Resistive touchscreen ,Observational error ,Equivalent series resistance ,business.industry ,010401 analytical chemistry ,Electrical engineering ,Phantom circuit ,021001 nanoscience & nanotechnology ,Atomic and Molecular Physics, and Optics ,0104 chemical sciences ,0210 nano-technology ,business ,Short circuit ,Tactile sensor ,Hardware_LOGICDESIGN ,Voltage - Abstract
Using a long, flexible test cable connected with a one-wire voltage feedback circuit, a resistive tactile sensor in a shared row-column fashion exhibited flexibility in robotic operations but suffered from crosstalk caused by the connected cable due to its wire resistances and its contacted resistances. Firstly, we designed a new non-scanned driving-electrode (VF-NSDE) circuit using two wires for every row line and every column line to reduce the crosstalk caused by the connected cables in the circuit. Then, an equivalent resistance expression of the element being tested (EBT) for the two-wire VF-NSDE circuit was analytically derived. Following this, the one-wire VF-NSDE circuit and the two-wire VF-NSDE circuit were evaluated by simulation experiments. Finally, positive features of the proposed method were verified with the experiments of a two-wire VF-NSDE prototype circuit. The experiment results show that the two-wire VF-NSDE circuit can greatly reduce the crosstalk error caused by the cables in the 2-D networked resistive sensor array.
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- 2016
25. Acoustic Source Localization Technology Research in Wireless Sensor Networks
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Chen Fei, Wu Jianfeng, Ge Yang, and Li Jianqing
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Key distribution in wireless sensor networks ,business.industry ,Wireless network ,Visual sensor network ,Computer science ,Embedded system ,Sensor node ,Real-time computing ,Mobile wireless sensor network ,Acoustic source localization ,business ,Wireless sensor network ,Digital signal processing - Abstract
Localization technology is a hot research point in the sensor network area. For low power consumption and long life characteristics of sensor nodes, sound location technology has its specificities using in wireless sensor network. In this paper we proposed a sensor network with sound position function, in which three sensor nodes with acoustic sensor have been used to detect trajectory of a small car. This paper selects digital signal processors as controllers and processors for wireless sensor networks nodes. The experimental results show that this approach can achieve a good positioning of moving targets.
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- 2012
26. A Thermal Tactile Display Device with Multiple Heat Sources
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Li Jianqing, Mao Zhipeng, Li Xiaomin, Zhou Lian-jie, Wu Jianfeng, and Yang Yurong
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Materials science ,Virtual instrumentation ,business.industry ,Controller (computing) ,Acoustics ,Embedded system ,Thermoelectric effect ,Thermistor ,Thermal ,business ,Thermal conduction ,Tactile sensor ,Display device - Abstract
A compact thermal tactile display device with multiple heat sources is proposed in this paper. The device has a 3×3 display units array and a Peltier module. In every display unit, a wire-twined resistance is used as heat component, a minitype NTC thermistor is used as temperature sensor, and an aluminum column is used as heat conduction component for contacting. The Peltier module is used to cool the display units array. Finally, the device was installed on the hand controller, allowing operators to manipulate virtual hand to touch the heat sources in the virtual environment, and its thermal tactile display property was tested. The results showed that the thermal tactile device can display the temperature from 5°C to 55°C, and different temperature field distribution can be displayed on the contact surface of the 3×3 array.
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- 2012
27. Application of Neural Network data associating method in the Radar Network system
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Lu Yao-bin, Wu Jianfeng, and Wang Lei
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Radar tracker ,Artificial neural network ,Computer science ,business.industry ,Monte Carlo method ,Convergence (routing) ,Simulated annealing ,Artificial intelligence ,Sensor fusion ,business ,Global optimization ,Algorithm ,Energy (signal processing) - Abstract
For data association problem during the multiple targets tracking in the Radar Network system, we proposed a kind of improved Discrete Hopfield Neural Network (DHNN) data associating method. We used the parallel computation and optimization ability of DHNN, and improved the global optimization ability of DHNN by modifying the energy function of DHNN and applying the simulated annealing algorithm to the status's adjusting of DHNN. This method improved the tracking performance and shortened convergence time of the net-work. From the Monte Carlo simulation experiments, the association performance and compute velocity of the proposed method was proved higher.
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- 2011
28. Difpainter: Take image difference as paint in digital painting
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Lv Ruimin, Wu JianFeng, and Zhang Zhidong
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Digital painting ,Painting ,Computer science ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Video camera ,Alpha compositing ,Grayscale ,law.invention ,Computational photography ,law ,Computer graphics (images) ,Light painting ,Computer vision ,Artificial intelligence ,Image sensor ,business ,ComputingMethodologies_COMPUTERGRAPHICS - Abstract
To introduce real materials into digital painting, the interactive digital painting system “Difpainter” is proposed. The rudiment of this system is the calculation of difference between images captured from video camera. The system first captures two images from video camera, and then calculates the difference of the two and yields foreground image, finally paint target image with the foreground image by alpha blending technology. This process is executed iteratively; the parameters are configured through graphic user interface. The system enables using webcam to practice “Light Painting” and some other novel painting skills. This research enriches the skills of digital painting, improves the user experience, and presents novel visual effects.
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- 2010
29. Composite tactile sensor array using fiber Bragg grating sensors and measuring system
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Bai Junjie, Li Jianqing, Wu Jianfeng, and Wu Ying
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Materials science ,Optical fiber ,business.industry ,System of measurement ,Acoustics ,Signal ,law.invention ,Contact force ,Optics ,Fiber Bragg grating ,law ,Fiber optic sensor ,business ,Field-programmable gate array ,Tactile sensor - Abstract
A composite tactile sensor element using identical fiber Bragg gratings (FBGs) and its 4×4 tactile sensor array were proposed. The structure and fabrication of the composite tactile sensor array were described in detail. The system of measuring the distributed contact forces and temperatures simultaneously was newly designed. Based on the identical FBGs, the measuring system resolved the cross-sensitivity problem of temperature and strain in fiber Bragg grating. The optical system and hardware circuit of measurement system were designed specifically. A field programmable gate array (FPGA) is the core of the hardware circuit, which can collect and process the photoelectric signal voltage shaped into rectangular voltage pulse. The hardware circuit communicated the signal to the computer through the UART and USB. The computer dynamically displayed and calibrated contact forces and temperatures of the measured points. Experiments show that, there are sufficient performance and the possibility to practically utilize the composite tactile sensor array, and the measuring system for distributed tactile forces and temperatures has many advantages, such as high stability, high capacity, high speed of data processing, contact-force resolution of 0.01 N and contact-temperature resolution of 0.5 °C.
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- 2010
30. The orientation estimation of partial discharge in power transformer
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Li Yanqing, Li Yun, Wu Jianfeng, Mao Weiming, and Xie Hongling
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Novel technique ,Engineering ,Signal classification ,law ,business.industry ,Phased array ,Partial discharge ,Electronic engineering ,Multiple signal classification ,Transformer ,business ,law.invention - Abstract
One novel technique to locate the partial discharge in the transformer is presented in this article, which is based on the modified multiple signal classification method (MUSIC). In this technique, the phased-array antenna is fixed on the shell of the transformer. After received by the array elements of the antenna, the signal from the partial discharge source will be analyzed by the modified MUSIC algorithm. Thus, orientation of one or even several partial discharge sources in the transform can be estimated. The result of emulator program shows that this modified algorithm has a very high precision and resolution, especially for the sources that are closely positioned.
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- 2008
31. The Development of Middle and High Temperature Phase Change Materials
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Luo Wenhui, Deng Da-kan, Li Jian, Wu Jianfeng, and Xu Xiaohong
- Subjects
Materials science ,business.industry ,Steam turbine ,Nuclear engineering ,Parabolic trough ,Sensible heat ,Solar energy ,business ,Thermal energy storage ,Phase-change material ,Energy storage ,Thermal energy - Abstract
Major problems with using solar energy are the intermittently and the instability, which are influenced by the weather. Storage of thermal energy is very important in solar energy system. Among various methods of thermal energy storage, latent heat storage is one of the most efficient ways of storing thermal energy. Unlike the sensible heat storage, the latent heat storage provides much higher energy storage density, with a smaller temperature difference between storing and releasing heat. So the use of phase change materials(PCMS) especially high temperature PCMS for thermal energy storage in Solar Electric Generating Systems(SEGS) has received considerable attention. This paper reviewed middle and high temperature PCMS that could be used for SEGS. At last, an innovative idea of solar electric generating system was proposed in this study.
- Published
- 2008
32. FALL DETECTION USING THREE WEARABLE TRIAXIAL ACCELEROMETERS AND A DECISION-TREE CLASSIFIER
- Author
-
Wu Jianfeng, Xu Gaozhi, Jianqing Li, Kan Luo, and Yang Hua
- Subjects
Engineering ,business.industry ,Decision tree learning ,Triaxial accelerometer ,Biomedical Engineering ,Biophysics ,Wearable computer ,Bioengineering ,Kalman filter ,Accelerometer ,Healthy volunteers ,Computer vision ,Fall detection ,Artificial intelligence ,business ,Simulation - Abstract
Unintentional falls cause serious health problem and high medical cost, particularly among the elders. Efficient fall detection can ensure fallen subjects with timely rescue, less pain and lower health-care expense. However, the accuracy of the present fall detection system with single accelerometer does not meet the requirement of practical application. In this paper, a fall detection method using three wearable triaxial accelerometers and a decision-tree classifier is proposed. The three triaxial accelerometers are, respectively mounted on the head, the waist and the ankle to capture the acceleration signals of human movement. A Kalman filter is adopted to estimate the body tilt angle. After the features are extracted, the trained decision-tree model is used to predict the fall. The efficiency improvement is evidenced by the scripted and unscripted lateral fall experiments, involving five young healthy volunteers (three males and two females; age: 23.3 ± 1 years). The classification of fall and activities of daily living (ADL) achieve recall, precision and F-value of 93.1%, 95.9%, and 94.5%, respectively, and the system detects all falls during the extended unscripted trials. The experimental results indicate that the complementary movement information coming from three accelerometers can enhance the performance of fall detection. The proposed method is efficient, and it has remarkable improvements in comparison to the method of using one or two accelerometers.
- Published
- 2014
33. Design of an X-Ray Framing Camera with Wide Microstrip Line
- Author
-
叶艳平 Ye Yanping, 刘进元 Liu Jinyuan, 张桃华 Zhang Taohua, 牛丽红 Niu Lihong, 邓祁军 Deng Qijun, 彭翔 Peng Xiang, 杨国洪 Yang Guohong, 牛憨笨 Niu Hanben, 刘慎业 Liu Shenye, 吴剑锋 Wu Jianfeng, 李文飞 Li Wenfei, and 蔡厚智 Cai Houzhi
- Subjects
Framing (visual arts) ,Optics ,Computer science ,business.industry ,Electrical and Electronic Engineering ,business ,Atomic and Molecular Physics, and Optics ,Microstrip ,Electronic, Optical and Magnetic Materials - Published
- 2012
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