Results 91 to 100 of about 66,349 (195)

Exercise‐specific plasma proteomic signatures in racehorses: Candidates for training adaptation and peak load monitoring

Equine Veterinary Journal, EarlyView.
Abstract Background Racehorses undergo profound physiological changes with training and competition, but current biomarkers inadequately capture the complex molecular dynamics of exercise. This study aimed to identify novel plasma biomarkers of training adaptation and peak load using high‐throughput proteomics.
Jowita Grzędzicka, Bianka Świderska, Ewa Sitkiewicz, Izabela Dąbrowska, Olga Witkowska‐Piłaszewicz   +4 more
wiley   +1 more source

Variant selection to maximize variance explained in cis-Mendelian randomization. [PDF]

HGG Adv
Zhou A, Karhunen V, Tian H, Pott J, Patel A, Slob EAW, Burgess S.   +6 more
europepmc   +1 more source

Dietary and biomarker‐guided strategies as supportive measures in the fragile X syndrome

Food Biomacromolecules, EarlyView.
Abstract The fragile X syndrome (FXS) is an inherited neurodevelopmental disorder that primarily affects males, often resulting in an IQ below 55, while about two‐thirds of females also experience intellectual disability. Physical features may include an elongated face, prominent ears, finger joint laxity, and enlarged testes in males.
Jailan E. El Halawani, Reem R. AlOlaby
wiley   +1 more source

Optimal combination of canopy management and planting density for yield enhancement in late-sown cotton. [PDF]

BMC Plant Biol
Hayat MAB, Rasul F, Haq MZU, Aslam MT, Sattar MN, Al Hashedi SA, Ghafoor A, Munir M.   +7 more
europepmc   +1 more source

A Comprehensive Review on Nutrition, Phytochemistry, Pharmacology and Food Application Perspectives of Bioactive Rich Superfruits

Future Postharvest and Food, EarlyView.
The review critically evaluated and compared the selected superfruit phytochemistry, their bioactive composition and the key health benefits majorly emphasizing the antioxidant potential. It has highlighted the translational challenges in formulating functional foods by addressing the issues related to delivery system, bioavailability mechanism and the
Sharath Kumar Nagaraja, Javid Iqbal Mir, Mahendra Kumar Verma, Aamir Hussain Dar   +3 more
wiley   +1 more source

TinyML pipeline for efficient crack classification in UAV-based structural health inspections. [PDF]

Sci Rep
Zhang Y, Nürnberg A, Rau LSM, Vu QNP, Lu Y, Oelmann B, Bader S.   +6 more
europepmc   +1 more source

Organic neuromorphic electronics powering intelligent sensory and edge computing systems

InfoMat, EarlyView.
Organic electronic materials are promising candidates for neuromorphic sensing applications, including chemical, physical, visual, and multimodal sensing, owing to their mechanical softness, biocompatibility, and intrinsic ionic–electronic coupling.
Seungjun Woo, Minji Chung, Hyun Woo Song, Seoyoung Kim, Eun Kwang Lee, Joon Hak Oh   +5 more
wiley   +1 more source

Viral modulation of synaptic pruning: implications for neuropathology and brain function. [PDF]

J Virol
Aliakbari S, Asadi S, Sayyah M, Naderi N, Salarvandian S, Khodagholi F, Gholami Pourbadie H.   +6 more
europepmc   +1 more source

Recent advances in data‐driven and artificial intelligence‐integrated perovskite solar cells: From design to self‐driving laboratories

InfoMat, EarlyView.
To address the limitations of conventional trial‐and‐error approaches, perovskite solar cell research is shifting toward a new paradigm that utilizes datasets and AI. This review examines the fundamental elements of data‐driven and AI‐integrated research: data platforms, AI methodologies, and self‐driving laboratories, demonstrating how their ...
Jaehee Lee, Juhwan Noh, Hyunjun Lee, Yea‐Lee Lee, Jino Im, Jangwon Seo   +5 more
wiley   +1 more source

Deep learning‐driven methods for fluorescence imaging denoising

Interdisciplinary Medicine, EarlyView.
This review evaluates data‐driven deep learning denoising methods that overcome conventional limitations through effective feature extraction and nonlinear modeling. Focusing on fluorescence imaging acquisition under photon‐limited conditions, we delineate cutting‐edge architectures, including supervised learning, unsupervised learning, zero‐shot ...
Xinyu Lu, Zixu Zhan, Bin Tan, Ruiwen Wang, Shuyue Wang, Diming Zhang, Bobo Cai, Zhijing Zhu   +7 more
wiley   +1 more source