Results 81 to 90 of about 2,520,335 (197)

Understanding the relationship: Financial inclusion's influence on bank stability in emerging economies

Energy Strategy Reviews
This study examines the impact of financial inclusion on bank stability across 36 emerging economies, utilizing bank-level data from over 1,500 commercial banks spanning the period 2004 to 2023. Despite the recognized benefits of financial inclusion, its
Shaoming Han, Cheng Qian, Nawal Abdalla Adam, Norboy Karimov, Wang Zhang   +4 more
doaj   +1 more source

"Empirical Likelihood-Based Inference in Conditional Moment Restriction Models" [PDF]

This paper proposes an asymptotically efficient method for estimating models with conditional moment restrictions. Our estimator generalizes the maximum empirical likelihood estimator (MELE) of Qin and Lawless (1994).
Hyungtaik Ahn, Yuichi Kitamura, Gautam Tripathi   +2 more
core  

Multi‐Omics Profiling of High‐Grade Serous Ovarian Cancer Reveals an Inflammation‐Related Lipid Metabolism Subtype Associated With Platinum Resistance

Advanced Science, EarlyView.
Through integrated proteomic and metabolomic profiling, Zhao et al. identified three molecular subtypes of high‐grade serous ovarian cancer. The high‐risk subtype exhibits activated arachidonic acid metabolism and cyclooxygenase‐2 overexpression. This metabolic axis promotes M2‐like macrophage infiltration, which contributes to platinum resistance ...
Yuxi Zhao, Junyi Li, Bo Zheng, Wanshan Liu, Yaru Wang, Shufeng Wang, Ying Cui, Huiqin Guo, Hongxia Wang, Ting Xiao, Kun Qian, Jing Zuo   +11 more
wiley   +1 more source

Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation

Journal of Big Data
Sequential recommender systems play a pivotal role in modern recommendation scenarios by capturing users’ dynamic interests through their historical interactions.
Yanan Bai, Liji Xiao, Chongjun Xia, Kexiang Zeng, Xiaoyu Shi   +4 more
doaj   +1 more source

From Research to Returns: A Firm-Level Analysis of R&D and Productivity in the Human Health Industry

Journal of Technology Management & Innovation
In the rapidly evolving human health industry, the role of research and development (R&D) is pivotal. This study aims to investigate the relationship between R&D and labor productivity in the pharmaceutical, biotechnology, and medical device industries,
Felipe Queiroz Silva, Bernardo Pereira Cabral, Fabio Batista Mota   +2 more
doaj   +1 more source

Import Demand Estimation and the Generalized Composite Commodity Theorem [PDF]

A frequently encountered problem in import demand estimation is how to account for competition between imports and domestic production. Traditionally, use of the Armington model has been a way to handle this problem.
Guttormsen, Atle G., Roheim, Cathy A., Kristofersson, Dadi, Asche, Frank   +3 more
core  

Targeting GALNT7 Disrupts the TAZ O‐GalNAcylation Feedback Loop to Suppress Gallbladder Cancer Progression

Advanced Science, EarlyView.
Aberrant GALNT7‐mediated O‐GalNAcylation stabilizes TAZ to drive gallbladder cancer progression through a feed‐forward transcriptional loop. Structure‐based screening identifies Olaparib as a potent GALNT7 antagonist that disrupts this oncogenic axis, providing an immediate therapeutic strategy for this aggressive malignancy.
Peng Qiu, Ming Zhang, Yunxiang Feng, Yibo Deng, Kai Zhao, Xiangyu Li, Yun Lu, Li Tian, Tao Yang, Wei Yao, Jianming Wang, Zhengdong Deng   +11 more
wiley   +1 more source

A Comparative Analysis of the Prediction of Gas Condensate Dew Point Pressure Using Advanced Machine Learning Algorithms

Fuels
Dew point pressure (DPP) emerges as a pivotal factor crucial for forecasting reservoir dynamics regarding condensate-to-gas ratio and addressing production/completion hurdles, alongside calibrating EOS models for integrated simulation.
Thitaree Lertliangchai, Birol Dindoruk, Ligang Lu, Xi Yang, Utkarsh Sinha   +4 more
doaj   +1 more source

GMM with many weak moment conditions [PDF]

Using many moment conditions can improve efficiency but makes the usual GMM inferences inaccurate. Two step GMM is biased. Generalized empirical likelihood (GEL) has smaller bias but the usual standard errors are too small.
Frank Windmeijer, Whitney Newey
core  

Risk of Inflammatory Bowel Disease Following Hospital‐Treated Infections and Modulatory Role of Host Genetics to Support a Multi‐Hit Pathogenesis Model

Advanced Science, EarlyView.
Hospital‐treated infections are linked to increased risk of inflammatory bowel disease in a large prospective cohort. This risk differs by infection burden, time since infection, and host immune‐genetic susceptibility. The findings support a multi‐hit pathogenesis model in which severe infection and inherited susceptibility jointly shape inflammatory ...
Haiming Zhuang, Lintao Dan, Xin Xiang, Xixian Ruan, Shuai Yuan, Jialu Yao, Jiawei Geng, Jonas F. Ludvigsson, Tian Fu, Candida Abreu, Laurent Peyrin‐Biroulet, Xue Li, Yi Xiao, Fernando Magro, Xiaoyan Wang, Jing Sun, Jie Chen   +16 more
wiley   +1 more source