5 results
Ten New Insights in Climate Science 2023/2024
- Mercedes Bustamante, Joyashree Roy, Daniel Ospina, Ploy Achakulwisut, Anubha Aggarwal, Ana Bastos, Wendy Broadgate, Josep G. Canadell, Edward R. Carr, Deliang Chen, Helen A. Cleugh, Kristie L. Ebi, Clea Edwards, Carol Farbotko, Marcos Fernández-Martínez, Thomas L. Frölicher, Sabine Fuss, Oliver Geden, Nicolas Gruber, Luke J. Harrington, Judith Hauck, Zeke Hausfather, Sophie Hebden, Aniek Hebinck, Saleemul Huq, Matthias Huss, M. Laurice P. Jamero, Sirkku Juhola, Nilushi Kumarasinghe, Shuaib Lwasa, Bishawjit Mallick, Maria Martin, Steven McGreevy, Paula Mirazo, Aditi Mukherji, Greg Muttitt, Gregory F. Nemet, David Obura, Chukwumerije Okereke, Tom Oliver, Ben Orlove, Nadia S. Ouedraogo, Prabir K. Patra, Mark Pelling, Laura M. Pereira, Åsa Persson, Julia Pongratz, Anjal Prakash, Anja Rammig, Colin Raymond, Aaron Redman, Cristobal Reveco, Johan Rockström, Regina Rodrigues, David R. Rounce, E. Lisa F. Schipper, Peter Schlosser, Odirilwe Selomane, Gregor Semieniuk, Yunne-Jai Shin, Tasneem A. Siddiqui, Vartika Singh, Giles B. Sioen, Youba Sokona, Detlef Stammer, Norman J. Steinert, Sunhee Suk, Rowan Sutton, Lisa Thalheimer, Vikki Thompson, Gregory Trencher, Kees van der Geest, Saskia E. Werners, Thea Wübbelmann, Nico Wunderling, Jiabo Yin, Kirsten Zickfeld, Jakob Zscheischler
-
- Journal:
- Global Sustainability / Accepted manuscript
- Published online by Cambridge University Press:
- 01 December 2023, pp. 1-58
-
- Article
-
- You have access Access
- Open access
- Export citation
Rice genetic resources for organic agriculture under hill ecology: evaluation and usefulness
- Chandan Kapoor, Chandramani Raj, Ravikant Avasthe, Daisy Basandrai, Arunava K. Pattanayak, Jay Prakash Aditya, S. P. Das, Vikas Sharma, Matber Singh, Shweta Singh
-
- Journal:
- Plant Genetic Resources / Volume 21 / Issue 2 / April 2023
- Published online by Cambridge University Press:
- 23 August 2023, pp. 159-165
-
- Article
- Export citation
-
Rice cultivation in hills is challenged by sub-optimum weather conditions, low soil fertility, low temperature and moisture stress which impedes in attaining high productivity. To address this, four studies were carried out at ICAR Sikkim Centre, Gangtok, India to evaluate relative performance of local organic cultivars and conventionally bred varieties under an organic farming system. Conventionally bred varieties yielded significantly higher (45%) than local cultivars under recommended timely sown conditions whereas local cultivars showed superiority in grain yield under late sown conditions coinciding with low temperature during flowering to grain filling. Genotypes did not show significant interaction when organic or conventional production conditions were compared. For grain yield, there was a significant variation for variety × year interaction under organic system. Local organic cultivars had reduced grain yield and associated traits under rainfed upland conditions. Panicles per unit area had a significant positive association with grain yield in all production environments (organic lowland, organic upland, conventional lowland and conventional upland). Overall, the study indicates using local cultivars as donors for specific stress tolerance traits in background of high yielding genotypes to enhance rice yields sustainably under organic system in hills.
Comparative analysis of biochemical, hormonal, and mineral compositions of preovulatory and cystic ovarian follicles in buffalo during the non-breeding season
- Brijesh Kumar, B.L. Kumawat, F.A. Khan, G.K. Das, S.K. Maurya, P. Chandra, Vandana, Jai Singh, Vikas Sachan, M.H. Jan, K. Narayanan
-
- Article
- Export citation
-
This study is a comparative analysis of the biochemical, hormonal, and mineral compositions of follicular fluid in preovulatory and cystic follicles of water buffalo (Bubalus bubalis). In total, reproductive tracts from 215 buffalo along with intact ovaries were collected randomly from an abattoir. The incidence of cystic conditions found in this study was 3.72% (8/215), involving the right ovary in 62.5% of instances and the left ovary in 37.5% of instances during the non-breeding season. Follicular fluid was aspirated from preovulatory follicles (12–15 mm diameter, oestrogen-active, follicular phase or stage IV corpus luteum on one of the two ovaries, n = 10) and cystic follicles (at least 20 mm diameter, no corpus luteum on any one of the two ovaries, n = 8). The follicular fluid samples were assayed for biochemical components (uric acid, creatinine, blood urea nitrogen, cholesterol, total protein, glucose, ascorbic acid, and alkaline phosphatase), hormones (progesterone, estradiol, and insulin), and minerals (calcium, magnesium, phosphorus, copper, zinc, and cobalt). Cystic follicles had greater (P < 0.05) concentrations of creatinine, blood urea nitrogen, cholesterol, progesterone, copper, zinc, and cobalt, and lesser (P < 0.05) concentrations of uric acid, glucose, ascorbic acid, estradiol, insulin, calcium, magnesium, and phosphorus compared with preovulatory follicles. These results indicated the marked differences in follicular fluid composition between preovulatory and cystic follicles in buffalo. Some of the changes were indicative of oxidative stress and disturbed steroidogenesis, two important mechanisms shown to be associated with cystic ovarian disease in various species. Further studies are warranted to investigate whether these differences are directly or indirectly involved in the formation of cystic follicles or are mere manifestations of the condition.
Contributors
-
- By Lenard A. Adler, Pinky Agarwal, Rehan Ahmed, Jagga Rao Alluri, Fawaz Al-Mufti, Samuel Alperin, Michael Amoashiy, Michael Andary, David J. Anschel, Padmaja Aradhya, Vandana Aspen, Esther Baldinger, Jee Bang, George D. Baquis, John J. Barry, Jason J. S. Barton, Julius Bazan, Amanda R. Bedford, Marlene Behrmann, Lourdes Bello-Espinosa, Ajay Berdia, Alan R. Berger, Mark Beyer, Don C. Bienfang, Kevin M. Biglan, Thomas M. Boes, Paul W. Brazis, Jonathan L. Brisman, Jeffrey A. Brown, Scott E. Brown, Ryan R. Byrne, Rina Caprarella, Casey A. Chamberlain, Wan-Tsu W. Chang, Grace M. Charles, Jasvinder Chawla, David Clark, Todd J. Cohen, Joe Colombo, Howard Crystal, Vladimir Dadashev, Sarita B. Dave, Jean Robert Desrouleaux, Richard L. Doty, Robert Duarte, Jeffrey S. Durmer, Christyn M. Edmundson, Eric R. Eggenberger, Steven Ender, Noam Epstein, Alberto J. Espay, Alan B. Ettinger, Niloofar (Nelly) Faghani, Amtul Farheen, Edward Firouztale, Rod Foroozan, Anne L. Foundas, David Elliot Friedman, Deborah I. Friedman, Steven J. Frucht, Oded Gerber, Tal Gilboa, Martin Gizzi, Teneille G. Gofton, Louis J. Goodrich, Malcolm H. Gottesman, Varda Gross-Tsur, Deepak Grover, David A. Gudis, John J. Halperin, Maxim D. Hammer, Andrew R. Harrison, L. Anne Hayman, Galen V. Henderson, Steven Herskovitz, Caitlin Hoffman, Laryssa A. Huryn, Andres M. Kanner, Gary P. Kaplan, Bashar Katirji, Kenneth R. Kaufman, Annie Killoran, Nina Kirz, Gad E. Klein, Danielle G. Koby, Christopher P. Kogut, W. Curt LaFrance, Patrick J.M. Lavin, Susan W. Law, James L. Levenson, Richard B. Lipton, Glenn Lopate, Daniel J. Luciano, Reema Maindiratta, Robert M. Mallery, Georgios Manousakis, Alan Mazurek, Luis J. Mejico, Dragana Micic, Ali Mokhtarzadeh, Walter J. Molofsky, Heather E. Moss, Mark L. Moster, Manpreet Multani, Siddhartha Nadkarni, George C. Newman, Rolla Nuoman, Paul A. Nyquist, Gaia Donata Oggioni, Odi Oguh, Denis Ostrovskiy, Kristina Y. Pao, Juwen Park, Anastas F. Pass, Victoria S. Pelak, Jeffrey Peterson, John Pile-Spellman, Misha L. Pless, Gregory M. Pontone, Aparna M. Prabhu, Michael T. Pulley, Philip Ragone, Prajwal Rajappa, Venkat Ramani, Sindhu Ramchandren, Ritesh A. Ramdhani, Ramses Ribot, Heidi D. Riney, Diana Rojas-Soto, Michael Ronthal, Daniel M. Rosenbaum, David B. Rosenfield, Durga Roy, Michael J. Ruckenstein, Max C. Rudansky, Eva Sahay, Friedhelm Sandbrink, Jade S. Schiffman, Angela Scicutella, Maroun T. Semaan, Robert C. Sergott, Aashit K. Shah, David M. Shaw, Amit M. Shelat, Claire A. Sheldon, Anant M. Shenoy, Yelizaveta Sher, Jessica A. Shields, Tanya Simuni, Rajpaul Singh, Eric E. Smouha, David Solomon, Mehri Songhorian, Steven A. Sparr, Egilius L. H. Spierings, Eve G. Spratt, Beth Stein, S.H. Subramony, Rosa Ana Tang, Cara Tannenbaum, Hakan Tekeli, Amanda J. Thompson, Michael J. Thorpy, Matthew J. Thurtell, Pedro J. Torrico, Ira M. Turner, Scott Uretsky, Ruth H. Walker, Deborah M. Weisbrot, Michael A. Williams, Jacques Winter, Randall J. Wright, Jay Elliot Yasen, Shicong Ye, G. Bryan Young, Huiying Yu, Ryan J. Zehnder
- Edited by Alan B. Ettinger, Albert Einstein College of Medicine, New York, Deborah M. Weisbrot, State University of New York, Stony Brook
-
- Book:
- Neurologic Differential Diagnosis
- Published online:
- 05 June 2014
- Print publication:
- 17 April 2014, pp xi-xx
-
- Chapter
- Export citation
Rates of violence in patients classified as high risk by structured risk assessment instruments
- Jay P. Singh, Seena Fazel, Ralitza Gueorguieva, Alec Buchanan
-
- Journal:
- The British Journal of Psychiatry / Volume 204 / Issue 3 / March 2014
- Published online by Cambridge University Press:
- 02 January 2018, pp. 180-187
- Print publication:
- March 2014
-
- Article
-
- You have access Access
- HTML
- Export citation
-
Background
Rates of violence in persons identified as high risk by structured risk assessment instruments (SRAIs) are uncertain and frequently unreported by validation studies.
AimsTo analyse the variation in rates of violence in individuals identified as high risk by SRAIs.
MethodA systematic search of databases (1995–2011) was conducted for studies on nine widely used assessment tools. Where violence rates in high-risk groups were not published, these were requested from study authors. Rate information was extracted, and binomial logistic regression was used to study heterogeneity.
ResultsInformation was collected on 13 045 participants in 57 samples from 47 independent studies. Annualised rates of violence in individuals classified as high risk varied both across and within instruments. Rates were elevated when population rates of violence were higher, when a structured professional judgement instrument was used and when there was a lower proportion of men in a study.
ConclusionsAfter controlling for time at risk, the rate of violence in individuals classified as high risk by SRAIs shows substantial variation. In the absence of information on local base rates, assigning predetermined probabilities to future violence risk on the basis of a structured risk assessment is not supported by the current evidence base. This underscores the need for caution when such risk estimates are used to influence decisions related to individual liberty and public safety.