Results 151 to 160 of about 19,120 (213)

Biotic interactions explain seasonal dynamics of the alpine soil microbiome. [PDF]

ISME Commun
Fiore-Donno AM, Freudenthal J, Dahl MB, Rixen C, Urich T, Bonkowski M.   +5 more
europepmc   +1 more source

Characteristics of Lacustrine Diamictite and Analysis of Diagenetic Reservoir Facies in the Neogene Lower Youshashan Formation in the Dafengshan Tectonic Belt in the Qaidam Basin

Energy Science &Engineering, EarlyView.
Based on field outcrop data, core descriptions, comprehensive thin section data (plain, cast, and fluorescent), scanning electron microscopy, whole rock analysis via X‐ray diffraction, physical property tests, element logging, core recording, and oil pilot tests, we propose utilizing a mature and practical three component classification method for ...
Lin Xie, Chang Liu, Hui He, Xianming Li, Mingqiu Hou, Pengshan Ma, Yu‐Jianjun Xue, Liang Qiao   +7 more
wiley   +1 more source

Structure of Benthic Microbial Communities in the Northeastern Part of the Barents Sea. [PDF]

Microorganisms
Stroeva AR, Klyukina AA, Vidishcheva ON, Poludetkina EN, Solovyeva MA, Pyrkin VO, Gavirova LA, Birkeland NK, Akhmanov GG, Bonch-Osmolovskaya EA, Merkel AY.   +10 more
europepmc   +1 more source

Plasma Activate Nitrogen for Efficient Ammonia Synthesis

Exploration, EarlyView.
This review systematically summarizes the classification and reaction mechanism of plasma, and discusses the synergy between different plasmas and catalytic methods along with energy consumptions in detail, in order to gain a deeper understanding of currently ammonia synthesis strategies.
Yamei Zhang, Jianfei Yu, Haixia Wu, Zhijun Zhao, Hongjin Xia, Qingyang Li, Yiran Wang, Dongyang Li, Qian Wang   +8 more
wiley   +1 more source

Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis

Flavour and Fragrance Journal, EarlyView.
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin, Romain Krafft, Sylvain Antoniotti, Sébastien Fiorucci   +3 more
wiley   +1 more source

Perinatal Gut Dysbiosis Reduces Milk Oligosaccharides via LPS‐Mediated Gut–Mammary Signaling in Mice

Food Frontiers, EarlyView.
Maternal gut dysbiosis elevates Gram‐negative bacterial lipopolysaccharide (LPS), which enters circulation and accumulates in mammary tissue. This compromises the blood–milk barrier and suppresses key enzymatic genes, ultimately reducing milk oligosaccharide synthesis and potentially affecting neonatal gut microbiota through breastfeeding.
Man‐Lin Zhou, Ye Wang, Yan‐Ling Kang, Bushra Walayat, Bin‐Qi Rui, Qi‐Di Xue, Xi He, Jing‐Yu Yan, Yin‐Hui Liu, Ming Li   +9 more
wiley   +1 more source

Bioactive Phytochemical Compounds in Medicago sativa L. (Alfalfa): A Systematic Review of Biological Properties and Therapeutic Relevance in Nutraceutical and Functional Food Implications

Food Frontiers, EarlyView.
ABSTRACT Medicago sativa L. (alfalfa) harbors a remarkably diverse reservoir of bioactive secondary metabolites. Flavonoids, isoflavones, and triterpenoid saponins dominate its bioactivity landscape, driving potent antioxidant, anti‐inflammatory, antimicrobial, estrogenic, hypolipidemic, and cytotoxic actions through redox modulation, membrane ...
Parham Joolaei Ahranjani, Hamid Rashidi Nodeh, Zahra Esfandiari, Giovanna Ferrentino   +3 more
wiley   +1 more source

UK Forecasts of Annual GDP: Their Accuracy and the Information Categories Underlying Their Revisions

Journal of Forecasting, EarlyView.
ABSTRACT Policy makers are concerned with the accuracy of GDP forecasts and want to understand the reasons for the revision of forecasts. We study these issues by examining forecasts of annual UK GDP growth by a panel of agents, published monthly by HM Treasury. We focus on two main issues: the developing accuracy of the group‐mean forecast as horizons
Nigel Meade, Ciaran Driver
wiley   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Neoarchean Arc Magmatism and Crust Recycling in the Northern Marginal Zone of the Limpopo Complex, Zimbabwe: New Insights From Zircon U‐Pb‐Hf Isotopes of a Charnockite Suite

Geological Journal, EarlyView.
Charnockites with 2691–2607 Ma magmatic ages from the NMZ show arc‐magmatic geochemical signatures. They correspond to the lower‐crustal equivalent of the Chilimanzi Suite Granite in the Zimbabwe Craton. Lu‐Hf isotopic data of magmatic zircons show negative εHf(t) values (−11.18 to −2.20) with TDMC ages of 3699–3158 Ma, suggesting their protolith ...
Toshiaki Tsunogae, Md. Sazzadur Rahman, Gao Pin, M. Santosh, Wataru Fujisaki, Sam Uthup, Prince Mandingaisa   +6 more
wiley   +1 more source