Results 81 to 90 of about 6,271 (292)

First record of Epigonus constanciae (Giglioli, 1880), (deepwater cardinalfish) (Osteichthyes: Epigonidae), from Aegean Sea, Turkey [PDF]

Acta Ichthyologica et Piscatoria, 2007
Background. Five specimens of Epigonus constanciae (Giglioli, 1880) (deepwater cardinalfish) were captured first time during a bottom trawl survey in Sigacik Bay and off Karaburun, Aegean Sea.
O. Özaydın, S. Leblebici, E. Ulutürk, H. Filiz   +3 more
doaj   +3 more sources

NMI Regulates Adipose Adaptive Thermogenesis Through TLR4/IRF3 Signaling to Promote Obesity

Advanced Science, EarlyView.
Adipose tissue‐derived NMI is secreted under metabolic stress and suppresses adaptive thermogenesis through TLR4/IRF3 signaling, repressing the PPARα/PGC‐1α/UCP1 thermogenic transcriptional program. Genetic ablation or anti ‐ NMI monoclonal antibody treatment enhances energy expenditure, protects against DIO, and ameliorates adipose tissue inflammation,
Ting‐Ting Li, Xin‐Yuan Zhao, Min Zhang, Zhuang‐Feng Weng, Xiao‐Ran Guo, Ying‐Fang Liu, Qiao‐Ping Wang, Huan‐Huan Liang   +7 more
wiley   +1 more source

Comparison of Environmental DNA Metabarcoding and Trawl Data Highlights Gear Selectivity of Marine Demersal Fish Surveys on the Faroese Plateau

Environmental DNA
Environmental DNA (eDNA) has emerged as a promising tool for studying fish dynamics in aquatic environments. However, the quantitative capabilities of eDNA metabarcoding, especially in marine systems, remain contentious due to limited comparative studies.
I. Salter, M. Brandner, A. Djurhuus, K. Præbel, O. Wangensteen   +4 more
doaj   +1 more source

Confinement‐Driven CO Spillover in CuAg@MSN Tandem Catalysts Boosts C2 Selectivity Toward Electrocatalytic CO2 Reduction

Advanced Science, EarlyView.
The CuAg@MSN catalyst developed in this study promotes C─C coupling by regulating the coverage of *CO intermediates through spatial confinement effects, significantly enhancing the selectivity of CO2 electroreduction for C2 product formation. ABSTRACT Tandem catalysts represent a promising paradigm for synergistic electrochemical CO2 reduction (CO2RR ...
Jiaying Zhang, Junjie Huang, Siying Zhang, Yanjia Cui, Chao Kong, Zijian Peng, Huihui Jiang, Sirui Deng, Zhuoyao Chen, Caili Yang, Ketong He, Zhen Li, Yibing Song, Gongwei Wang, Lin Zhuang   +14 more
wiley   +1 more source

Pink salmon fishery in the Far-Eastern fishing basin in 2023: preliminary studies, forecast, interpretation of the fishing season results

Известия ТИНРО
Data of the trawl surveys for counting of pink salmon in 2022 and 2023 and results of pink salmon fishery in the main areas of the Russian Far East in 2023 are presented and the studies for understanding the state of the main pink salmon stocks and ...
E. A. Shevlyakov, A. A. Somov, V. A. Shevlyakov, A. N. Kanzeparova, N. A. Dederer, I. V. Melnikov   +5 more
doaj   +1 more source

Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays

Advanced Science, EarlyView.
A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo, Ji‐Hwan Eum, Suk‐Jeong Kwon, Minji Sagong, Dongchan Kim, Dong‐Ha Kim   +5 more
wiley   +1 more source

Spatial distribution of pacific herring Clupea pallasii in the Tatar Strait (Japan Sea) in April-June

Известия ТИНРО
Spatial distribution of pacific herring in the Tatar Strait in spring (April-June) is considered on the data of bottom trawl surveys conducted in 2002–2022.
E. R. Ivshina, I. N. Mukhametov
doaj   +1 more source

Preliminary analysis of the dermersal fish assemblages in the Bangladesh waters of the Bay of Bengal [PDF]

This paper presents the results of analyses of the demersal fish assemblages in Bangladesh waters of the Bay of Bengal. Catch data from three trawl survey cruises from January to February 1985 covering 135 stations were utilized for community structure ...
Mustafa, M.G.
core  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Built‐In Electric Field Regulated Electron Transport Channels of FeP Supported Os for Ampere‐Level Seawater Electrolysis

Advanced Energy Materials, EarlyView.
This work presents an Os/FeP heterostructure catalyst with EMSI and successfully utilizes the BEF to further modulate electron transfer through Os‐P‐Fe channels, proving an effective approach of developing low‐cost electrocatalysts with remarkable HER activity in ampere‐level seawater electrolysis. ABSTRACT Developing cost‐effective and robust hydrogen
Qing Liu, Yukun Zhang, Zili Liu, Yu Wang, Hongdong Li, Weiping Xiao, Wenli Yu, Lingfeng Zhu, Tianyi Ma, Jun Xing, Wei Jin, Liqun Ye, Lei Wang, Zexing Wu   +13 more
wiley   +1 more source