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5. Genetic diversity and spatial structures of snow leopards (Panthera uncia) reveal proxies of connectivity across Mongolia and northwestern China

Author

Hacker, Charlotte, Atzeni, Luciano, Munkhtsog, Bariushaa, Munkhtsog, Bayaraa, Galsandorj, Naranbaatar, Zhang, Yuguang, Liu, Yanlin, Buyanaa, Chimeddorj, Bayandonoi, Gantulga, Ochirjav, Munkhtogtokh, Farrington, John D., Jevit, Matthew, Zhang, Yu, Wu, Liji, Cong, Wei, Li, Dingqiang, Gavette, Charleen, Jackson, Rodney, and Janecka, Jan E.

Published
2023
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9. Physical Aggression and Self-Injurious Behaviors Towards Self or Others by Non-verbal/Minimally Verbal Secondary Special Education Students with Autism in a Self-Contained Classroom: A Qualitative Case Study

Author

Jackson, Rodney Keith and Jackson, Rodney Keith

Abstract

The purpose of this single intrinsic case study was to describe the experiences of using multiple forms of non-verbal interventions to decrease physical aggression and self-injurious behaviors for special education staff members in self-contained classrooms in Behaviorville ISD. The theory guiding this study was B. F. Skinner’s theory on behaviorism. It explains how non-verbal interventions affect an individual’s environment, how reinforcers influence their behaviors, and how all actions are interconnected. Participants were 10 people who are full-time employees of BISD and have worked with or volunteered with non-verbal/minimally verbal secondary special education students with physical aggression, self-injurious behaviors, and autism spectrum disorder. Data collection methods were online surveys, individual interviews, and focus group discussions. Data analysis procedures included collecting, organizing, and reviewing the data, developing and assigning codes to the themes and patterns that develop, analyzing the coded data, and then reporting on the findings and implications of the data analysis. The findings indicated that by using multiple forms of non-verbal interventions simultaneously, decreased crisis behaviors in NV/MV secondary special education students with ASD, whose target behaviors are physical aggression and SIB towards self and others in a self-contained classroom.

Published
2024

10. Treatment drop-in in a contemporary cohort used to derive cardiovascular risk prediction equations.

Author

Jingyuan Liang, Jackson, Rodney T., Pylypchuk, Romana, Yeunhyang Choi, Chung, Claris, Crengle, Sue, Pei Gao, Grey, Corina, Harwood, Matire, Holt, Anders, Kerr, Andrew, Mehta, Suneela, Wells, Susan, and Poppe, Katrina

Subjects
MAORI (New Zealand people), ETHNIC groups, CORONARY artery calcification, STATISTICAL models, TRANSIENT ischemic attack, CARDIOVASCULAR diseases
Published
2024
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11. Defining priorities for global snow leopard conservation landscapes

Author

Li, Juan, Weckworth, Byron V., McCarthy, Thomas M., Liang, Xuchuang, Liu, Yanlin, Xing, Rui, Li, Diqiang, Zhang, Yuguang, Xue, Yadong, Jackson, Rodney, Xiao, Lingyun, Cheng, Chen, Li, Sheng, Xu, Feng, Ma, Ming, Yang, Xin, Diao, Kunpeng, Gao, Yufang, Song, Dazhao, Nowell, Kristin, He, Bing, Li, Yuhan, McCarthy, Kyle, Paltsyn, Mikhail Yurievich, Sharma, Koustubh, Mishra, Charu, Schaller, George B., Lu, Zhi, and Beissinger, Steven R.

Published
2020
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12. Regional Comparison of Snow Leopard (Panthera uncia) Diet using DNA Metabarcoding

Author

Hacker, Charlotte E., Jevit, Matthew, Hussain, Shafqat, Muhammad, Ghulam, Munkhtsog, Bariushaa, Munkhtsog, Bayaraa, Zhang, Yuguang, Li, Diqiang, Liu, Yanlin, Farrington, John D., Balbakova, Farida, Alamanov, Azat, Kurmanaliev, Omurbek, Buyanaa, Chimeddorj, Bayandonoi, Gantulga, Ochirjav, Munkhtogtokh, Liang, Xuchang, Bian, Xiaoxing, Weckworth, Byron, Jackson, Rodney, and Janecka, Jan E.

Published
2021
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18. Paired risk scores to predict ischaemic and bleeding risk twenty-eight days to one year after an acute coronary syndrome

Author

Kerr, Andrew J, primary, Choi, Yeunhyang, additional, Williams, Michael JA, additional, Stewart, Ralph AH, additional, White, Harvey D, additional, Devlin, Gerry, additional, Selak, Vanessa, additional, Lee, Mildred Ai Wei, additional, El-Jack, Seif, additional, Adamson, Philip D, additional, Fairley, Sarah, additional, Jackson, Rodney T, additional, and Poppe, Katrina, additional

Published
2023
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22. Chapter 49 - The Global Snow Leopard and Ecosystem Protection Program

Author

Sharma, Koustubh, Alexander, Justine Shanti, Zakharenka, Andrew, Kochorov, Chyngyz, Rutherford, Brad, Varma, Keshav, Seth, Anand, Kushlin, Andrey, Lumpkin, Susan, Seidensticker, John, Laporte, Bruno, Tichomirow, Boris, Jackson, Rodney M., Mishra, Charudutt, Abdiev, Bakhtiyar, Modaqiq, Abdul Wali, Wangchuk, Sonam, Zhongtian, Zhang, Khanduri, Shakti Kant, Duisekeyev, Bakytbek, Dorjgurkhem, Batbold, Pandey, Megh Bahadur, Nasir, Syed Mahmood, Nawaz, Muhammad Ali, Fominykh, Irina, Saidov, Nurali, Yunusov, Nodirjon, and Murali, Ranjini

Published
2024
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25. Treatment drop-in in a contemporary cohort used to derive cardiovascular risk prediction equations

Author

Liang, Jingyuan, Jackson, Rodney T, Pylypchuk, Romana, Choi, Yeunhyang, Chung, Claris, Crengle, Sue, Gao, Pei, Grey, Corina, Harwood, Matire, Holt, Anders, Kerr, Andrew, Mehta, Suneela, Wells, Susan, and Poppe, Katrina

Abstract

BackgroundNo routinely recommended cardiovascular disease (CVD) risk prediction equations have adjusted for CVD preventive medications initiated during follow-up (treatment drop-in) in their derivation cohorts. This will lead to underestimation of risk when equations are applied in clinical practice if treatment drop-in is common. We aimed to quantify the treatment drop-in in a large contemporary national cohort to determine whether equations are likely to require adjustment.MethodsEight de-identified individual-level national health administrative datasets in Aotearoa New Zealand were linked to establish a cohort of almost all New Zealanders without CVD and aged 30–74 years in 2006. Individuals dispensing blood-pressure-lowering and/or lipid-lowering medications between 1 July 2006 and 31 December 2006 (baseline dispensing), and in each 6-month period during 12 years’ follow-up to 31 December 2018 (follow-up dispensing), were identified. Person-years of treatment drop-in were determined.ResultsA total of 1 399 348 (80%) out of the 1 746 695 individuals in the cohort were not dispensed CVD medications at baseline. Blood-pressure-lowering and/or lipid-lowering treatment drop-in accounted for 14% of follow-up time in the group untreated at baseline and increased significantly with increasing predicted baseline 5-year CVD risk (12%, 31%, 34% and 37% in <5%, 5–9%, 10–14% and ≥15% risk groups, respectively) and with increasing age (8% in 30–44 year-olds to 30% in 60–74 year-olds).ConclusionsCVD preventive treatment drop-in accounted for approximately one-third of follow-up time among participants typically eligible for preventive treatment (≥5% 5-year predicted risk). Equations derived from cohorts with long-term follow-up that do not adjust for treatment drop-in effect will underestimate CVD risk in higher risk individuals and lead to undertreatment. Future CVD risk prediction studies need to address this potential flaw.

Published
2024
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26. Reducing livestock depredation losses in the Nepalese Himalaya

Author

Jackson, Rodney M., Ahlborn, Gary G., Gurung, Mahesh, and Ale, Som

Subjects
snow leopard, Nepal, predation, livestock depredation, common leopard, wolf, wild dog, dog, feral, livestock management, strategy
Abstract

In the Nepalese Himalaya conflict with rural communities due to livestock predation to large carnivores like snow leopard, common leopard, wolf and wild dog has risen sharply in recent years. This increase is attributed to a number of factors, including implementation and enforcement of wildlife protection laws (which have permitted a recovery in carnivore numbers), the creation of protected areas (which serve as refuges from which predators can populate the surrounding area), the depletion of natural prey due to poaching and loss of habitat, and lax livestock herding practices. However, little information is presently available upon which to design remedial programs. U.S. AID provided research funding for an in-depth assessment of snow leopard predation in the Annapurna Conservation Area (ACAP), a new innovative approach to nature conservation. Baseline information on livestock numbers and mortality were gathered during household interviews, followed by field surveys to assess animal husbandry systems, map pastures, establish periods of use and estimate stocking rates, and to characterize habitat using randomly located plots. Data substantiate the existence of depredation "hotspots," where high loss occurs, in some cases exceeding 14% to 20% of the livestock population over a short period. Losses varied seasonally, and from year to year. Small-bodied stock like goat and sheep were more vulnerable than large-bodied stock like yak, although horses were especially vulnerable. Factors most closely associated with predation included lack of guarding (or very lax supervision), especially during the daytime, and repeated use of pastures where livestock depredators were known to be actively hunting. Herders usually reacted to repeated depredation incidents by attempting to trap or shoot the suspected culprit until losses declined to an acceptable level. As large carnivore populations become increasingly fragmented and genetically isolated, new management strategies are urgently needed, especially within the buffer zones and intervening corridors between separated parks and reserves. People reside within nearly all Himalayan protected areas, and such issues as loss of livestock and competition between wildlife and livestock cannot be avoided. A plan is offered for alleviating livestock loss in the Annapurna Conservation Area that involves local institutions in decision-making, rewards sound husbandry practices, strengthens indigenous institutions, without further eroding ACAP's unique biological diversity and diverse carnivore population. The authors believe these measures and ideas could be fruitfully extended to other parts of the Himalaya.

Published
1996

29. Body measurements of free-ranging snow leopards across their range

Author

Johansson, Örjan, Agvaantseren, Bayarjargal, Jackson, Rodney, Kachel, Shannon, Kubanychbekov, Zairbek, McCarthy, Tom, Mishra, Charudutt, Ostrowski, Stephane, Kulenbekov, Rahim, Rajabi, Ali Madad, and Subba, Samundra

Subjects
Zoology
Abstract

We provide body measurements of snow leopards collected from 55 individuals sampled in five of the major mountain ranges within the species distribution range; the Altai, Hindu Kush, Himalayas, Pamirs and Tien Shan mountains. Snow leopards appear to be similarly sized across their distribution range with mean body masses of 36 kg and 42 kg for adult females and adult males, respectively. In contrast to other large felids, we found little variation in body size and body mass between the sexes; adult males were on average 5% longer and 15% heavier than adult females.

Published
2022
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30. Genetic diversity and spatial structures of snow leopards (Panthera uncia) reveal proxies of connectivity across Mongolia and northwestern China

Author

Hacker, Charlotte, primary, Atzeni, Luciano, additional, Munkhtsog, Bariushaa, additional, Munkhtsog, Bayaraa, additional, Galsandorj, Naranbaatar, additional, Zhang, Yuguang, additional, Liu, Yanlin, additional, Buyanaa, Chimeddorj, additional, Bayandonoi, Gantulga, additional, Ochirjav, Munkhtogtokh, additional, Farrington, John D., additional, Jevit, Matthew, additional, Zhang, Yu, additional, Wu, Liji, additional, Cong, Wei, additional, Li, Dingqiang, additional, Gavette, Charleen, additional, Jackson, Rodney, additional, and Janecka, Jan E., additional

Published
2022
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31. Surveillance, Diversity and Vegetative Compatibility Groups of Fusarium oxysporum f. sp. vasinfectum Collected in Cotton Fields in Australia (2017 to 2022)

Author

Le, Duy P., primary, Nguyen, Chi P. T., additional, Kafle, Dinesh, additional, Scheikowski, Linda, additional, Montgomery, Janelle, additional, Lambeth, Emma, additional, Thomas, Amanda, additional, O’Keeffe, Kieran, additional, Shakeshaft, Beth, additional, Young, Alison, additional, Mckay, Andrew, additional, Twine, Annabel, additional, Hudson, Elsie, additional, Jackson, Rodney, additional, and Smith, Linda J., additional

Published
2022
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32. Examining the perspectives of practitioners toward a geospatial technology competency model.

Author

Jackson, Rodney D. and Kerski, Joseph

Subjects
*BUSINESSPEOPLE, *JOB analysis, *DEMOGRAPHIC surveys, *FACTOR analysis, *DESCRIPTIVE statistics, *GEOSPATIAL data
Abstract

This study is intended to provide insight into geospatial practitioners' viewpoints toward the US Department of Labor, Employment and Training Administration (DOLETA) Geospatial Technology Competency Model (GTCM). These viewpoints are significant since business professionals use workplace competencies for job analysis, professional certification, and defining workforce requirements. The research sought to determine the views held toward a set of geospatial competencies and provide the field with an understanding of how practitioners perceive these competency statements. Sixty‐one participants sorted 42 cards (with geospatial competency statements) on a scale of −5 to 5 and completed two short surveys with demographic and open‐ended questions. The data were evaluated using factor analysis, descriptive statistics, and a combination of high, low, and distinguishing statements to provide meaning to the viewpoints. [ABSTRACT FROM AUTHOR]

Published
2023
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33. Surveillance, Diversity and Vegetative Compatibility Groups of Fusarium oxysporum f. sp. vasinfectum Collected in Cotton Fields in Australia (2017 to 2022)

Author

Le, Duy P., Nguyen, Chi P. T., Kafle, Dinesh, Scheikowski, Linda, Montgomery, Janelle, Lambeth, Emma, Thomas, Amanda, O’Keeffe, Kieran, Shakeshaft, Beth, Young, Alison, Mckay, Andrew, Twine, Annabel, Hudson, Elsie, Jackson, Rodney, Smith, Linda, Le, Duy P., Nguyen, Chi P. T., Kafle, Dinesh, Scheikowski, Linda, Montgomery, Janelle, Lambeth, Emma, Thomas, Amanda, O’Keeffe, Kieran, Shakeshaft, Beth, Young, Alison, Mckay, Andrew, Twine, Annabel, Hudson, Elsie, Jackson, Rodney, and Smith, Linda

Abstract

Cotton (Gossypium hirsutum) is a billion-dollar crop in regional New South Wales (NSW) and Queensland, Australia. Fusarium wilt (FW) caused by Fusarium oxysporum f. sp. vasinfectum (Fov) is an economically important disease. Initial disease losses of up to 90% when the disease was first detected resulted in fields being taken out of cotton production. The disease is now well-managed due to the adoption of highly resistant varieties. However, annual disease surveys recently revealed that the disease dynamic has changed in the past few seasons. With relatively mild and wet weather conditions during the 2021/22 growing season, FW was detected in eight surveyed valleys in NSW and Queensland, with the disease incidence as high as 44.5% and 98.5% in individual fields in early and late seasons, respectively. Fov is genetically distinct and evolved from local Fusarium oxysporum strains. Additionally, the pathogen was reported to evolve rapidly under continuous cotton cropping pressure. However, our knowledge of the genetic composition of the prevailing population is limited. Sequences of the translation elongation factor alpha 1 (TEF1) revealed that 94% of Fusarium isolates recovered from FW-infected cotton were clustered together with known Australian Fov and relatively distant related to overseas Fov races. All these isolates, except for nine, were further confirmed positive with a specific marker based on the Secreted in Xylem 6 (SIX6) effector gene. Vegetative compatibility group (VCG) analyses of 166 arbitrarily selected isolates revealed a predominance of VCG01111. There was only one detection of VCG01112 in the Border Rivers valley where it was first described. In this study, the exotic Californian Fov race 4 strain was not detected using a specific marker based on the unique Tfo1 insertion in the phosphate (PHO) gene. This study indicated that the prevalence and abundance of Fov across NSW and Queensland in the past five seasons was probably independent of its genet

Published
2022

34. Range-Wide Snow Leopard Phylogeography Supports Three Subspecies

Author

Janecka, Jan E, Zhang, Yuguang, Li, Diqiang, Munkhtsog, Bariushaa, Bayaraa, Munkhtsog, Galsandorj, Naranbaatar, Wangchuk, Tshewang R, Karmacharya, Dibesh, Li, Juan, Lu, Zhi, Uulu, Kubanychbek Zhumabai, Gaur, Ajay, Kumar, Satish, Kumar, Kesav, Hussain, Shafqat, Muhammad, Ghulam, Jevit, Matthew, Hacker, Charlotte, Burger, Pamela, Wultsch, Claudia, Janecka, Mary J, Helgen, Kristofer, Murphy, William J, and Jackson, Rodney

Published
2017
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35. Body measurements of free-ranging snow leopards across their range.

Author

Johansson, Örjan, Agvaantseren, Bayarjargal, Jackson, Rodney, Kachel, Shannon, Kubanychbekov, Zairbek, McCarthy, Tom, Mishra, Charudutt, Ostrowski, Stephane, Kulenbekov, Rahim, Rajabi, Ali Madad, and Subba, Samundra

Subjects
SNOW leopard, MOUNTAINS, MORPHOLOGY, BODY mass index, CARNIVOROUS animals
Abstract

We provide body measurements of snow leopards collected from 55 individuals sampled in five of the major mountain ranges within the species distribution range; the Altai, Hindu Kush, Himalayas, Pamirs and Tien Shan mountains. Snow leopards appear to be similarly sized across their distribution range with mean body masses of 36 kg and 42 kg for adult females and adult males, respectively. In contrast to other large felids, we found little variation in body size and body mass between the sexes; adult males were on average 5% longer and 15% heavier than adult females. [ABSTRACT FROM AUTHOR]

Published
2023
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36. List of Contributors

Author

Abdiev, Bakhtiyar, primary, Agvaantseren, Bayarjargal, additional, Ale, Som, additional, Ali, Hussain, additional, Allen, Priscilla, additional, Almashev, Chagat, additional, Amato, George, additional, Amgalanbaatar, Sukh, additional, Amirov, Zayiniddin, additional, Anarbaev, Maksat, additional, Arenas, Rafael, additional, Aromov, Bakhtyor, additional, Bürki, Roland, additional, Bayrakçısmith, Rana, additional, Beale, Nick, additional, Bhatnagar, Yash Veer, additional, Bijoor, Ajay, additional, Blidchenko, Ekaterina Yu., additional, Blomqvist, Leif, additional, Boixader, Jordi, additional, Botezatu, Ioana, additional, Breitenmoser, Urs, additional, Breitenmoser-Würsten, Christine, additional, Buzdar, Hafeez, additional, Bykova, Elena, additional, Caragiulo, Anthony, additional, Castner, Jennifer, additional, Chundawat, Raghunandan S., additional, Colorado, Apela, additional, Criffield, Marc, additional, Dadul, Jigmet, additional, Dashzeveg, Unurzul, additional, Davaa, Galbadrakh, additional, Davletbakov, Askar, additional, Ud Din, Jaffar, additional, Dorjgurkhem, Batbold, additional, Driscoll, Carlos A., additional, Duisekeyev, Bakytbek, additional, Esipov, Alexander, additional, Farrington, John D., additional, Fernández, Leonardo, additional, Fisher, Kim, additional, Fominykh, Irina, additional, Fox, Joseph L., additional, García-Tardío, Maribel, additional, Garrote, Germán, additional, Ghoshal, Abhishek, additional, Gibbs, James P., additional, Gilbert, Martin, additional, Harris, Richard B., additional, Heiner, Michael, additional, Hemmingmoore, Heather, additional, Hernandez-Blanco, Jose A., additional, Hillard, Darla, additional, Hotham, Paul, additional, Howard, Pippa, additional, Hunter, Don, additional, Hussain, Shafqat, additional, Istomov, Sergei, additional, Jackson, Rodney M., additional, Jiménez-Peréz, Ignacio Ignacio, additional, Johansson, Örjan, additional, Kachel, Shannon, additional, Karimov, Khalil, additional, Karnaukhov, Alexander, additional, Kiesecker, Joseph, additional, Khan, Ahmad, additional, Khan, Ashiq Ahmad, additional, Khanduri, Shakti Kant, additional, Khatiwada, Ambika, additional, Khuukhenduu, Tungalagtuya, additional, Kitchener, Andrew C., additional, Kochorov, Chyngyz, additional, Koontz, Fred W., additional, Korablev, Miroslav, additional, Kozlova, Svetlana, additional, Kubanychbekov, Zairbek, additional, Kunkel, Kyran, additional, Kuksin, Alexander, additional, Kushlin, Andrey, additional, Lal, Panna, additional, Lama, Wendy Brewer, additional, Lanz, Tabea, additional, Laporte, Bruno, additional, Li, Juan, additional, Lind, Thomas, additional, Liu, Yanlin, additional, Loginov, Oleg, additional, Loginova, Irina, additional, López, Guillermo, additional, López-Parra, Marcos, additional, Lovari, Sandro, additional, Lu, Zhi, additional, Lumpkin, Susan, additional, Maheshwari, Aishwarya, additional, Majumder, Bipasha, additional, Mallon, David, additional, Malykh, Sergei, additional, Mathur, Vinod Bihari, additional, McCarthy, Kyle, additional, McCarthy, Thomas, additional, Michel, Stefan, additional, Mijiddorj, Tserenadmid, additional, Miquelle, Dale G., additional, Mishra, Charudutt, additional, Mock, John, additional, Modaqiq, Abdul Wali, additional, Mohammad, Ghulam, additional, Moheb, Zalmai, additional, Mostafawi, Sayed Naqibullah, additional, Munkhtsog, Bariushaa, additional, Murali, Ranjini, additional, Naidenko, Sergey V., additional, Namgail, Tsewang, additional, Nasir, Syed Mahmood, additional, Nawaz, Muhammad Ali, additional, Noras, Sibylle, additional, Nyul, Helen, additional, Oakleaf, James, additional, Onorato, Dave, additional, Ostrowski, Stéphane, additional, Padmanabhan, Sujatha, additional, Paley, Richard, additional, Paltsyn, Mikhail, additional, Pandey, Megh Bahadur, additional, Poyarkov, Andrey, additional, Prins, Herbert H.T., additional, Protas, Yelizaveta, additional, Purevjav, Lkhagvajav, additional, Quammen, Betsy Gaines, additional, Raghunath, Rangaswamy, additional, Reading, Richard P., additional, Redpath, Stephen R., additional, Rey, Teresa del, additional, Riordan, Philip, additional, Robinson, Hugh S., additional, Rosen, Tatjana, additional, Rozhnov, Viatcheslav V., additional, Rozhnov, Vyacheslav, additional, Ruiz, Gema, additional, Rullman, Jennifer Snell, additional, Rutherford, Brad, additional, Ryskulova, Nargiza, additional, Saidov, Abdusattor, additional, Saidov, Nurali, additional, Samanchina, Jarkyn, additional, Sanderson, Eric W., additional, Sathyakumar, Sambandam, additional, Seidensticker, John, additional, Seth, Anand, additional, Shah, Karan B., additional, Shah, Safdar Ali, additional, Sharma, Koustubh, additional, Sharma, Rishi Kumar, additional, Shehzad, Wasim, additional, Shi, Kun, additional, Simón, Miguel A., additional, Simms, Anthony, additional, Sliwa, Alexander, additional, Sonam, Karma, additional, Sorokin, Pavel A., additional, Spitsyn, Sergei, additional, Suryawanshi, Kulbhushansingh R., additional, Tetzloff, Jay, additional, Tharchen, Lhendup, additional, Thinley, Tanzin, additional, Thomas, Patrick R., additional, Tichomirow, Boris, additional, Timbadia, Radhika, additional, Trivedi, Pranav, additional, uulu, Kuban Jumabai, additional, Varma, Keshav, additional, von Meibom, Stephanie, additional, Wangchuk, Sonam, additional, Wangchuk, Tshewang R., additional, Weckworth, Byron, additional, Weddle, Mike, additional, Wegge, Per, additional, Whitten, Tony, additional, Wong, Wai-Ming, additional, Xiao, Lingyun, additional, Yachmennikova, Anna A., additional, Yunden, Bayarjargal, additional, Yin, Hang, additional, Yamaguchi, Nobuyuki, additional, Yunusov, Nodirjon, additional, Zahler, Peter, additional, Zakharenka, Andrew, additional, Zhao, Xiang, additional, Zhongtian, Zhang, additional, and Zvychainaya, Elena, additional

Published
2016
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39. The Global Snow Leopard and Ecosystem Protection Program

Author

Zakharenka, Andrew, primary, Sharma, Koustubh, additional, Kochorov, Chyngyz, additional, Rutherford, Brad, additional, Varma, Keshav, additional, Seth, Anand, additional, Kushlin, Andrey, additional, Lumpkin, Susan, additional, Seidensticker, John, additional, Laporte, Bruno, additional, Tichomirow, Boris, additional, Jackson, Rodney M., additional, Mishra, Charudutt, additional, Abdiev, Bakhtiyar, additional, Modaqiq, Abdul Wali, additional, Wangchuk, Sonam, additional, Zhongtian, Zhang, additional, Khanduri, Shakti Kant, additional, Duisekeyev, Bakytbek, additional, Dorjgurkhem, Batbold, additional, Pandey, Megh Bahadur, additional, Nasir, Syed Mahmood, additional, Nawaz, Muhammad Ali, additional, Fominykh, Irina, additional, Saidov, Nurali, additional, and Yunusov, Nodirjon, additional

Published
2016
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40. Northern Range: Russia

Author

Paltsyn, Mikhail, primary, Poyarkov, Andrey, additional, Spitsyn, Sergei, additional, Kuksin, Alexander, additional, Istomov, Sergei, additional, Gibbs, James P., additional, Jackson, Rodney M., additional, Castner, Jennifer, additional, Kozlova, Svetlana, additional, Karnaukhov, Alexander, additional, Malykh, Sergei, additional, Korablev, Miroslav, additional, Zvychainaya, Elena, additional, and Rozhnov, Vyacheslav, additional

Published
2016
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43. Contributors

Author

Abdiev, Bakhtiyar, Agvaantseren, Bayarjargal, Akmatova, Kuluipa, Alamshev, Chagat, Alamshoev, Qurbonidin, Ale, Som, Alexander, Justine Shanti, Ali, Hussain, Allen, Priscilla, Amgalanbaatar, Sukh, Arenas-Rojas, Rafael, Aromov, Bakhtyor, Asykulov, Tolkunbek, Atzeni, Luciano, Augugliaro, Claudio, Ayusheev, Vladimir (Norbu), Azhunova, Maria, Baidavletov, Yerlik, Bayrakcismith, Rana, Bespalov, Maxim, Bhatia, Saloni, Bhatnagar, Yash Veer, Bijoor, Ajay, Blidchenko, Ekaterina Yu., Blomqvist, Leif, Boixader, Jordi, Borchers, David, Breitenmoser, Urs, Breitenmoser-Würsten, Christine, Bürki, Roland, Bykova, Elena, Cancellare, Imogene, Caragiulo, Anthony, Castner, Jennifer, Chelteuv, Slava, Chistopolova, Maria, Chundawat, Raghunandan S., Colorado, Apela, Criffield, Marc, Dadul, Jigmet, Dashzeveg, Unurzul, Davaa, Galbadrakh, Davletbakov, Askar, del Rey, Teresa, Dendhup, Tashi, Din, Jaffar Ud, Dorjgurkhem, Batbold, Driscoll, Carlos A., Duisekeyev, Bakytbek, Durbach, Ian, Dzhanyspaev, Altynbek, Erdenetsogt, Buyanbadrakh, Esipov, Alexander, Farrington, John D., Faryabi, Sorosh Poya, Fernández, Leonardo, Ferretti, Francesco, Fisher, Kim, Fominykh, Irina, Fox, Joseph L., García-Tardío, Maribel, Garmaev, Rinchin, Garrote, Germán, Ghoshal, Abhishek, Gilbert, Martin, Grachev, Alexey, Grachev, Yuriy, Gritsina, Mariya, Hacker, Charlotte, Hameed, Shoaib, Harris, Richard B., Heiner, Michael, Hemmingmoore, Heather, Hernandez-Blanco, José Antonio, Hillard, Darla, Hotham, Paul, Howard, Pippa, Hunter, Ben, Hunter, Don, Hussain, Shafqat, Ivashkina, Lyubov, Jackson, Rodney M., Janecka, Jan E., Jiménez, Ignacio, Johansson, Örjan, Jumabayuulu, Kubanychbek, Kachel, Shannon, Karimov, Khalil, Karnaukhov, Alexander, Khan, Ashiq Ahmad, Khan, Babar, Khanal, Gopal, Khanduri, Shakti Kant, Khatiwada, Ambika, Kholmatov, Ismoil, Khurelbataar, Erdembileg, Khuukhenduu, Tungalagtuya, Kiesecker, Joseph, Kitchener, Andrew C., Kochorov, Chyngyz, Kodi, Abinand Reddy, Koontz, Fred W., Korablev, Miroslav, Koshkin, Maxim, Kubanychbekov, Zairbek, Kuksin, Alexander, Kulenbekov, Rakhim, Kunkel, Kyran, Kushlin, Andrey, Lal, Panna, Lama, Wendy Brewer, Lanz, Tabea, Laporte, Bruno, Li, Juan, Liang, Xuchang, Lind, Thomas, Liu, Yanlin, Liu, Yixuan, Loginova, Olga, López, Guillermo, López-Parra, Marcos, Lovari, Sandro, Lu, Zhi, Lumpkin, Susan, Lyons, Anna, Lyu, Zhuoluo, MacKenzie, Darryl, Maheshwari, Aishwarya, Majumder, Bipasha, Malikov, Denis, Mallon, David, Malykh, Sergei, Mathur, V.B., McCann, Colleen, McCarthy, Kyle, McCarthy, Tom, Michel, Stefan, Mijiddorj, Tserenadmid Nadia, Miquelle, Dale G., Mishra, Charudutt, Mock, John, Modaqiq, Abdul Wali, Mohammad, Ghulam, Moheb, Zalmai, Moshier, Andrea, Munkhtsog, Bariushaa, Munkhtsog, Bayaraa, Murali, Ranjini, Musaev, Almaz, Naidenko, Sergey V., Namgail, Tsewang, Nasir, Syed Mahmood, Nawaz, Muhammad Ali, Nichols, James, Niraj, Shekhar Kumar, Noras, Sibylle, Novikova, Tatjana, Nygren, Emma, Nyul, Helen, Oakleaf, James, Onrato, Dave, Osmanova, Almagul, Ostrowski, Stéphane, Padmanabhan, Sujatha, Pal, Ranjana, Paley, Richard, Paltsyn, Mikhail, Pandey, Megh Bahadur, Poyarkov, Andrey, Prins, Herbert H.T., Protas, Yelizaveta, Quammen, Betsy, Raghunath, R., Rasheed, Tahir, Raymbekov, Zhaparkul, Reading, Richard P., Redpath, Stephen R., Riordan, Philip, Rosen, Tatjana, Rozhnov, Viatcheslav V., Ruiz, Gema, Rullman, Jennifer Snell, Rutherford, Brad, Ryskulova, Nargiza, Saidov, Abdusattor, Saidov, Nurali, Samanchina, Jarkyn, Samelius, Gustaf, Sanderson, Eric W., Sanjer, Amruddin, Saparbayev, Saltore, Sathyakumar, S., Schwartz, Karin R., Seidensticker, John, Seth, Anand, Shah, Karan B., Shah, Safdar Ali, Shaidoev, Sayfidin, Sharma, Koustubh, Sharma, Rishi Kumar, Shi, Kun, Simms, Anthony, Simón, Miguel A., Slight, Ted Waleij, Sliwa, Alexander, Sonam, Karma, Sorokin, Pavel A., Spitsyn, Sergei, Suresh, Shruti, Suryawanshi, Kulbhushansingh Ramesh, Sutherland, Chris, Tallian, Aimee, Tetzloff, Jay, Thakali, Shailendra, Thinley, Tanzin, Thomas, Patrick R., Tichomirow, Boris, Timbadia, Radhika, Trivedi, Pranav, Uluu, Kuban Jumabay, Varma, Keshav, Victurine, Ray, Wang, Jun, Wangchuk, Sonam, Wangchuk, Tshewang R., Weckworth, Byron, Weddle, Mike, Wegge, Per, Whitten, Tony, Wong, Wai-Ming, Xiao, Lingyun, Xueyang, Li, Yachmennikova, Anna A., Yamaguchi, Nobuyuki, Yin, Hang, Young, Juliette, Yunusov, Nodirjon, Zahler, Peter, Zakharenka, Andrew, Zhao, Xiang, Zhi, Lu, and Zhongtian, Zhang

Published
2024
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46. Blood pressure-lowering treatment strategies based on cardiovascular risk versus blood pressure: A meta-analysis of individual participant data

Author

Karmali, Kunal N., Lloyd-Jones, Donald M., van der Leeuw, Joep, Goff, David C., Yusuf, Salim, Zanchetti, Alberto, Glasziou, Paul, Jackson, Rodney, Woodward, Mark, Rodgers, Anthony, Neal, Bruce C., Berge, Eivind, Teo, Koon, Davis, Barry R., Chalmers, John, Pepine, Carl, Rahimi, Kazem, and Sundström, Johan

Subjects
Health risk assessment -- Analysis, Blood pressure -- Analysis, Cardiovascular diseases -- Risk factors -- Prevention -- Research, Biological sciences
Abstract

Background Clinical practice guidelines have traditionally recommended blood pressure treatment based primarily on blood pressure thresholds. In contrast, using predicted cardiovascular risk has been advocated as a more effective strategy to guide treatment decisions for cardiovascular disease (CVD) prevention. We aimed to compare outcomes from a blood pressure-lowering treatment strategy based on predicted cardiovascular risk with one based on systolic blood pressure (SBP) level. Methods and findings We used individual participant data from the Blood Pressure Lowering Treatment Trialists' Collaboration (BPLTTC) from 1995 to 2013. Trials randomly assigned participants to either blood pressure-lowering drugs versus placebo or more intensive versus less intensive blood pressure-lowering regimens. We estimated 5-y risk of CVD events using a multivariable Weibull model previously developed in this dataset. We compared the two strategies at specific SBP thresholds and across the spectrum of risk and blood pressure levels studied in BPLTTC trials. The primary outcome was number of CVD events avoided per persons treated. We included data from 11 trials (47,872 participants). During a median of 4.0 y of follow-up, 3,566 participants (7.5%) experienced a major cardiovascular event. Areas under the curve comparing the two treatment strategies throughout the range of possible thresholds for CVD risk and SBP demonstrated that, on average, a greater number of CVD events would be avoided for a given number of persons treated with the CVD risk strategy compared with the SBP strategy (area under the curve 0.71 [95% confidence interval (CI) 0.70-0.72] for the CVD risk strategy versus 0.54 [95% CI 0.53-0.55] for the SBP strategy). Compared with treating everyone with SBP [greater than or equal to] 150 mmHg, a CVD risk strategy would require treatment of 29% (95% CI 26%-31%) fewer persons to prevent the same number of events or would prevent 16% (95% CI 14%-18%) more events for the same number of persons treated. Compared with treating everyone with SBP [greater than or equal to] 140 mmHg, a CVD risk strategy would require treatment of 3.8% (95% CI 12.5% fewer to 7.2% more) fewer persons to prevent the same number of events or would prevent 3.1% (95% CI 1.5%-5.0%) more events for the same number of persons treated, although the former estimate was not statistically significant. In subgroup analyses, the CVD risk strategy did not appear to be more beneficial than the SBP strategy in patients with diabetes mellitus or established CVD. Conclusions A blood pressure-lowering treatment strategy based on predicted cardiovascular risk is more effective than one based on blood pressure levels alone across a range of thresholds. These results support using cardiovascular risk assessment to guide blood pressure treatment decision-making in moderate- to high-risk individuals, particularly for primary prevention., Author(s): Kunal N. Karmali 1, Donald M. Lloyd-Jones 1, Joep van der Leeuw 2, David C. Goff 3, Salim Yusuf 4, Alberto Zanchetti 5, Paul Glasziou 6, Rodney Jackson 7, [...]

Published
2018
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47. Occurrence of Eutypellaspecies on cotton (Gossypium hirsutumL.) in New South Wales, Australia

Author

Le, Duy Phu, Gregson, Aphrika, Madden, Anna, and Jackson, Rodney

Abstract

We report for the first time the occurrence of an Eutypellaspecies on cotton in New South Wales (NSW), Australia. The putative Eutypellawas isolated from dead cotton plants that exhibited atypical symptoms of either Fusarium or Verticillium wilt. Dead plants had symptoms resembling lightning strike damage with blackened outer bark around the fifth node zone. Internal vascular discoloration was reddish grey and often occurred in V-shaped sections. Sequences of the internal transcribed spacer (ITS) revealed a 93.7–94.1% similarity to Eutypella scoparia, indicating that the NSW cotton isolates represented a putatively novel species within the Eutypellagenus. Pathogenicity of the isolated Eutypellawas assessed on cotton stem cuts and living plants inoculated with culture agar plugs. Typical black necroses on outer bark and reddish vascular discoloration were reinduced in both Eutypella-inoculated stem cuts and living plants. Subsequently, the same Eutypellapathogen was successfully recovered, thus fulfilling Koch’s postulates. The detection of Eutypellaon NSW cotton is believed to be an independent event from a recently reported occurrence of Eutypellaon Queensland cotton. The Queensland detection occurred in the same 2017/18 cropping season at approximately 730 km apart and was associated with distinct Eutypellaisolates.

Published
2023
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