Results 191 to 200 of about 101,952 (267)

Retail Availability of Intoxicating Cannabis and Mushroom Products Across Eleven U.S. Cities: Sales Persist Despite Prohibitions. [PDF]

J Stud Alcohol Drugs
LoParco CR, Rossheim ME, Tillett KK, Cui Y, Johnson M, Speer M, Mihelich D, Amdeta H, Ndisebuye D, Berg CJ.   +9 more
europepmc   +1 more source

Transcriptomic signatures reveal systemic adaptations and immune modulation in response to training and competitive racing in horses

Equine Veterinary Journal, EarlyView.
Abstract Background The molecular mechanisms underlying adaptation to physical exertion and racing stress in horses remain incompletely understood. Peripheral blood transcriptomics offers a minimally invasive method to monitor systemic responses to exercise and identify biomarkers of adaptation or overload. Objectives To evaluate transcriptomic changes
Izabela Dąbrowska, Jowita Grzędzicka‐Agko, Paula Kiełbik, Michał Trela, Olga Witkowska‐Piłaszewicz   +4 more
wiley   +1 more source

Pharmacotherapy change patterns after fragility fracture in patients receiving bone-active medication: a fracture liaison service quality improvement cohort study. [PDF]

BMC Musculoskelet Disord
Ansari H, Yang A, Sujic R, Bogoch ER, Elliot-Gibson V, Jain R, Weldon J, Linton D, Sale JEM.   +8 more
europepmc   +1 more source

What happened after the epidemic? Equine influenza surveillance sheds light on sources and seasonal risk in the United Kingdom

Equine Veterinary Journal, EarlyView.
Abstract Background The epidemiology of equine influenza (EI) in the United Kingdom has not been systematically described since the 2019 epidemic. Objectives To summarise UK EI surveillance (2020–2024), quantify outbreak seasonality and assess movement‐related sources. Study Design Retrospective observational analysis of national surveillance and horse
Fleur Whitlock, John Grewar, Richard Newton   +2 more
wiley   +1 more source

Determinants of dairy products purchase decisions among polish doctors: A gender-based analysis. [PDF]

PLoS One
Nowak A, Jarosz-Angowska A, Krukowski A, Komor A, Goliszek A, Białoskurski S, Sołowiej BG, Przybyłowicz KE, Staniewska K, Dąbrowska A.   +9 more
europepmc   +1 more source

Delphi consensus on Thoroughbred yearling sales endoscopy in Australasia

Equine Veterinary Journal, EarlyView.
Abstract Background Concerns regarding the reliability and consistency of yearling sales endoscopy in Australia and New Zealand have led to reduced industry confidence. Recent studies have clarified the relationship between yearling laryngeal function (YLF) grades and future outcomes.
Josephine L. Hardwick, Benjamin J. Ahern, Brian H. Anderson, Samantha H. Franklin   +3 more
wiley   +1 more source

Combining machine learning and iterative experiments to keep pace with emerging viral variants of concern. [PDF]

PLoS Comput Biol
Sheffield T, Bruneau RC, Won S, Sale KL, Harmon B, Pham LTM.   +5 more
europepmc   +1 more source

Strategies for Identification and Mitigation of Sanguinarine in Mustard Oil Adulterated by Argemone—A Comprehensive Review

Food Chemistry International, EarlyView.
Sanguinarine, a toxic alkaloid present in argemone, can lead to epidemic dropsy or chronic diseases through DNA intercalation and immune system suppression. Regulatory efforts face challenges due to economic motivations for adulteration as well as technical, social, and infrastructure barriers.
Gururaj Pejavara Narayana, Subhangi Panigrahi, Suresh Kumar Kalakandan, Hema Vincent, Ashish Rawson   +4 more
wiley   +1 more source

A new arrowhead shaped advancement flap for nasal reconstruction after skin cancer excision

EJC Skin Cancer
A. Aitken, M.B.B.S., PH.D., F.R.A.C.S.
doaj   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source