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Articles 1 - 6 of 6
Full-Text Articles in Life Sciences
The "Challenge" Of Depletion: Why The Oyster Fishery Is Not Self-Regulating, Eric N. Powell, John M. Klinck, Leanne M. Poussard
The "Challenge" Of Depletion: Why The Oyster Fishery Is Not Self-Regulating, Eric N. Powell, John M. Klinck, Leanne M. Poussard
Faculty Publications
© 2020 National Shellfisheries Association. All rights reserved. The possibility that the economics of the oyster fishery impose a self-limitation on overharvesting has been proffered on occasion. The inefficiency of harvesting by the fishery has been evaluated and estimates of the exploitation rate permissible under conditions of maximum sustainable yield have been obtained in previous studies. The question becomes to what extent does the inefficiency of harvest interact with the economics of the fishery to compromise ready detection of overfishing? This study explores the possibility that the constraint of economics on the fishery occurs at oyster exploitation rates that are …
Light Emitting Diode (Led) Color And Broiler Growth: Effect Of Supplementing Blue/Green Led To White Led Light On Broiler Growth, Stress, And Welfare, Jill R. Nelson, Joey L. Bray, Juliette Delabbio, Gregory S. Archer
Light Emitting Diode (Led) Color And Broiler Growth: Effect Of Supplementing Blue/Green Led To White Led Light On Broiler Growth, Stress, And Welfare, Jill R. Nelson, Joey L. Bray, Juliette Delabbio, Gregory S. Archer
Faculty Publications
Light emitting diode (LED) lighting provides an affordable lighting option for use in commercial poultry production. However, more information is needed to understand the effects of LED color on broiler welfare and growth. Five consecutive flocks (1 in summer, 1 in fall, 2 in winter, and 1 in spring) of straight run Ross 708 × Ross 708 broilers were reared in commercial type barns for 45 D. For white only (WO) treatment, birds were reared under white LED only (Agrishift MLB). For white supplemented (WS) treatment, birds were reared under white LED (Agrishift MLB) in the center aisle, with supplemental …
Comparison Of An Intermittent, Short-Dawn/Dusk Photoperiod With An Increasing, Long-Dawn/Dusk Photoperiod On Broiler Growth, Stress, And Welfare, Jill R. Nelson, Joey L. Bray, Juliette Delabbio, Gregory S. Archer
Comparison Of An Intermittent, Short-Dawn/Dusk Photoperiod With An Increasing, Long-Dawn/Dusk Photoperiod On Broiler Growth, Stress, And Welfare, Jill R. Nelson, Joey L. Bray, Juliette Delabbio, Gregory S. Archer
Faculty Publications
Photoperiod has been shown to significantly affect broiler performance. However, the effects of the traditional 1-min dimming period on broiler growth and welfare are unclear. In this study, 4 consecutive trials were conducted to compare the effects of an intermittent, short-dawn/dusk photoperiod (ISD) to an increasing, long-dawn/dusk photoperiod (ILD) on broiler growth, stress, and welfare. Straight run day-of-hatch Ross 708 × Ross 708 broilers were placed in 1 of 4 commercial broiler barns (2 b of 26,200 birds each per treatment) and grown to 45 D of age. The photoperiod in the ISD treatment consisted of 24L:0D day 0 to …
Bias And Misrepresentation Of Science Undermines Productive Discourse On Animal Welfare Policy: A Case Study, Kelly Jaakkola, Jason N. Bruck, Richard C. Connor, Stephen H. Montgomery, Stephanie L. King
Bias And Misrepresentation Of Science Undermines Productive Discourse On Animal Welfare Policy: A Case Study, Kelly Jaakkola, Jason N. Bruck, Richard C. Connor, Stephen H. Montgomery, Stephanie L. King
Faculty Publications
Reliable scientific knowledge is crucial for informing legislative, regulatory, and policy decisions in a variety of areas. To that end, scientific reviews of topical issues can be invaluable tools for informing productive discourse and decision-making, assuming these reviews represent the target body of scientific knowledge as completely, accurately, and objectively as possible. Unfortunately, not all reviews live up to this standard. As a case in point, Marino et al.’s review regarding the welfare of killer whales in captivity contains methodological flaws and misrepresentations of the scientific literature, including problematic referencing, overinterpretation of the data, misleading word choice, and biased argumentation. …
Susceptibility Of Swine Cells And Domestic Pigs To Sars-Cov-2, David A. Meekins, Igor Morozov, Jessie D. Trujillo, Natasha N. Gaudreault, Dashzeveg Bold, Mariano Carossino, Bianca L. Artiaga, Sabarish V. Indran, Taeyong Kwon, Velmurugan Balaraman, Daniel W. Madden, Heinz Feldmann, Jamie Henningson, Wenjun Ma, Udeni B. R. Balasuriya, Juergen A. Richt
Susceptibility Of Swine Cells And Domestic Pigs To Sars-Cov-2, David A. Meekins, Igor Morozov, Jessie D. Trujillo, Natasha N. Gaudreault, Dashzeveg Bold, Mariano Carossino, Bianca L. Artiaga, Sabarish V. Indran, Taeyong Kwon, Velmurugan Balaraman, Daniel W. Madden, Heinz Feldmann, Jamie Henningson, Wenjun Ma, Udeni B. R. Balasuriya, Juergen A. Richt
Faculty Publications
No abstract provided.
Artificial Intelligence And Covid-19: Deep Learning Approaches For Diagnosis And Treatment, M. B. Jamshidi, A. Lalbakhsh, J. Talla, Z. Peroutka, F. Hadjilooei, P Lalbakhsh, M. Jamshidi, L. La Spada, M. Mirmozafari, M. Dehghani, A. Sabet, Sa. Roshani, So. Roshani, N. Bayat-Makou, B. Mohamadzade, Z. Malek, A. Jamshidi, S. Kiani, H. Hashemi-Dezaki, W. Mohyuddin
Artificial Intelligence And Covid-19: Deep Learning Approaches For Diagnosis And Treatment, M. B. Jamshidi, A. Lalbakhsh, J. Talla, Z. Peroutka, F. Hadjilooei, P Lalbakhsh, M. Jamshidi, L. La Spada, M. Mirmozafari, M. Dehghani, A. Sabet, Sa. Roshani, So. Roshani, N. Bayat-Makou, B. Mohamadzade, Z. Malek, A. Jamshidi, S. Kiani, H. Hashemi-Dezaki, W. Mohyuddin
Faculty Publications
COVID-19 outbreak has put the whole world in an unprecedented difficult situation bringing life around the world to a frightening halt and claiming thousands of lives. Due to COVID-19 & x2019;s spread in 212 countries and territories and increasing numbers of infected cases and death tolls mounting to 5,212,172 and 334,915 (as of May 22 2020), it remains a real threat to the public health system. This paper renders a response to combat the virus through Artificial Intelligence (AI). Some Deep Learning (DL) methods have been illustrated to reach this goal, including Generative Adversarial Networks (GANs), Extreme Learning Machine (ELM), …