Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants [0.03%]
慢性肾脏病与健康人群舌象关键影响因素的探索性研究
Po-Chi Hsu,Jia-Ming Chen,Chia-Chu Chang et al.
Po-Chi Hsu et al.
Introduction: Chronic kidney disease (CKD) is a significant global health problem associated with high morbidity and mortality rates. Traditional Chinese Medicine (TCM) utilizes tongue diagnosis to differentiate symptoms ...
How critical is SME financial literacy and digital financial access for financial and economic development in the expanded BRICS block? [0.03%]
金砖扩展体国家中小企业金融知识和数字金融服务获取的重要性及其对金融经济发展的影响研究
Manoj Kumar M,Nasser Almuraqab,Immanuel Azaad Moonesar et al.
Manoj Kumar M et al.
Introduction: The expanded BRICS block presents significant opportunities for SMEs (Small and Medium Enterprises), but challenges related to financial literacy and digital access hinder their potential. While global effor...
Leveraging compact convolutional transformers for enhanced COVID-19 detection in chest X-rays: a grad-CAM visualization approach [0.03%]
利用紧凑的卷积变压器增强胸部X光片中COVID-19的检测：一种grad-CAM可视化方法
Aravinda C V,Sudeepa K B,S Pradeep et al.
Aravinda C V et al.
Predicting student self-efficacy in Muslim societies using machine learning algorithms [0.03%]
基于机器学习算法预测伊斯兰国家的大学生自我效能感
Mohammed Ba-Aoum,Mohammed Alrezq,Jyotishka Datta et al.
Mohammed Ba-Aoum et al.
Introduction: Self-efficacy is a critical determinant of students' academic success and overall life outcomes. Despite its recognized importance, research on predictors of self-efficacy using machine learning models remai...
Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental disorders [0.03%]
一种局部分形度量方法在儿科精神健康和神经发育障碍基因型表型关联中的影像学衍生脑表型应用研究
Gabrielle Dagasso,Matthias Wilms,Sarah J MacEachern et al.
Gabrielle Dagasso et al.
Introduction: Quantitative global or regional brain imaging measurements, known as imaging-specific or -derived phenotypes (IDPs), are commonly used in genotype-phenotype association studies to explore the genomic archite...
Advancing cybersecurity and privacy with artificial intelligence: current trends and future research directions [0.03%]
利用人工智能推进网络安全和隐私：当前趋势与未来研究方向
Krishnashree Achuthan,Sasangan Ramanathan,Sethuraman Srinivas et al.
Krishnashree Achuthan et al.
Introduction: The rapid escalation of cyber threats necessitates innovative strategies to enhance cybersecurity and privacy measures. Artificial Intelligence (AI) has emerged as a promising tool poised to enhance the effe...
Cross-border collaboration, communication, and research frontiers on biologics in chronic rhinosinusitis from 2004 to 2023 [0.03%]
2004至2023年生物制剂在慢性鼻窦炎领域中的跨境合作、交流及研究前沿
Guan-Jiang Huang,Zhi-Jun Fan,Biao-Qing Lu
Guan-Jiang Huang
Objective: Biologics are considered as a promising novel treatment option for patients with chronic rhinosinusitis who failed with the standard of care (medical therapy and surgical interventions). This bibliometric analy...
How does digitally enabled micro-finance promote income equality for the vulnerable in the expanded BRICS block during the pandemic? [0.03%]
数字化微贷如何在疫情期间促进金砖国家扩大版图内脆弱群体的收入平等？
Manoj Kumar M V,Nasser Almuraqab,Immanuel Azaad Moonesar et al.
Manoj Kumar M V et al.
Introduction: Tech-enabled alternative micro-finance promotes income equality in growing BRICS and Austria across financial crises and pandemics. Are financial access and digital skills equally economically valuable? Our ...
Establishing and evaluating trustworthy AI: overview and research challenges [0.03%]
构建和评估可信AI：综述与研究挑战
Dominik Kowald,Sebastian Scher,Viktoria Pammer-Schindler et al.
Dominik Kowald et al.
Artificial intelligence (AI) technologies (re-)shape modern life, driving innovation in a wide range of sectors. However, some AI systems have yielded unexpected or undesirable outcomes or have been used in questionable manners. As a result...
Enhancing sentiment and intent analysis in public health via fine-tuned Large Language Models on tobacco and e-cigarette-related tweets [0.03%]
通过在烟草和电子烟相关推特上微调大型语言模型来增强公共卫生中的情感和意图分析
Sherif Elmitwalli,John Mehegan,Allen Gallagher et al.
Sherif Elmitwalli et al.
Background: Accurate sentiment analysis and intent categorization of tobacco and e-cigarette-related social media content are critical for public health research, yet they necessitate specialized natural language processi...