Results 191 to 200 of about 24,206 (303)

The complete plastome sequence of <i>Amorphophallus allenii</i> sheds light on intrageneric phylogeny of <i>Amorphophallus</i>. [PDF]

Mitochondrial DNA B Resour
Shi H, Wang W, Qi Y, Gao P, Yang M, Zhao Y, Huang F, Liu J, Zhao J, Li L, Yu L.   +10 more
europepmc   +1 more source

How Does Vulnerability Framing by Microfinance Institutions Leverage Funding Success in Crowdfunding?

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study draws on framing theory to investigate how microfinance institutions (MFIs) strategically construct a vulnerability‐oriented organisational identity and how this framing influences their funding decisions during the pre‐campaign phase of prosocial crowdfunding.
Ana Paula Matias Gama, Ricardo Emanuel‐Correia, Fábio Duarte, Mário Augusto   +3 more
wiley   +1 more source

Morphological and phylogenetic analyses revealed <i>Fissuracium ellipsoideum</i> gen. et sp. nov. (Amylocorticiaceae, Amylocorticiales) from southwest China. [PDF]

MycoKeys
Zhao C, Gu Z, Xu X, Liu X.
europepmc   +1 more source

Risk Forecasting in Shipping Exchange‐Traded‐Fund (ETF) Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT This article examines the risk properties of freight‐derivative‐based exchange‐traded funds (ETFs), focusing on the Breakwave Dry Bulk Shipping ETF (BDRY), and evaluates the accuracy of Value‐at‐Risk (VaR) and Expected Shortfall (ES) forecasts across a range of econometric models.
Christos Katris, Manolis G. Kavussanos, Stergiani (Stella) A. Moysiadou   +2 more
wiley   +1 more source

Revealing the Hidden Diversity of Aquatic and Terrestrial Fungi in Korea: 17 Newly Recorded Species. [PDF]

Mycobiology
Nguyen TTT, Song DY, Kim SJ, Oh BS, Kim MK, Kang KH, Cho YJ, Yu HW, Jeon SJ, Kim DH, Hwang HJ, Lee CS, Mun HY, Lee HB.   +13 more
europepmc   +1 more source

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

Interdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu, Jinbang Li, Shujing Guo, Danyi Li, Chengyu Lu, Chenglong Zhao, Jiankun He, Hanxi Wang, Qiao Bai, Aihetaimu Aimaier, Zhijian Cen, Rui Mao, Zimo Ye, Jiaxue Zang, Zhining Zhuo, Lijuan Qu, Yueping Liu, Jing Cui, Xiaohong Yao, Xiuwu Bian, Li Liang   +20 more
wiley   +1 more source

Optimizing Colistin Sulfate Dosing in Severe Infections: A Population Pharmacokinetic Model-Guided Approach. [PDF]

Drug Des Devel Ther
Ma Y, Wang Y, Wu X, Wang J, Pang Y, Jia Y, Yang X, Gu J.   +7 more
europepmc   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Revisiting EWMA in High‐Frequency‐Based Portfolio Optimization: A Comparative Assessment

Journal of Applied Econometrics, EarlyView.
ABSTRACT This paper compares the statistical and economic performance of state‐of‐the‐art high‐frequency (HF) based multivariate volatility models with a simpler, widely used alternative, the Exponentially Weighted Moving Average (EWMA) filter. Using over two decades of 100 U.S.
Laura Capera Romero, Anne Opschoor
wiley   +1 more source

Retrospective Identification and Quantitative Image Analysis of the ICAP Nuclear Pattern AC‐30 in Antinuclear Antibody Testing

Journal of Clinical Laboratory Analysis, EarlyView.
This investigation was conducted in two phases. Phase I involved the classification and clinical profiling of AC‐30. In Phase II, quantitative image analysis was performed to explore its associations with clinical parameters. ABSTRACT Background The International Consensus on ANA Patterns (ICAP) recently codified the AC‐30 nuclear pattern ...
Changmeng Wu, Wenhan Du, Weidong Chen, Juan He, Linlin Xu, Yu Li   +5 more
wiley   +1 more source