"What happens when you get corona?": Children's questions and parental responses about the COVID-19 pandemic. by Graciela Trujillo Hernández, David Menendez, Seung Heon Yoo, Rebecca E Klapper, Maria H Schapfel, Kailee A Sowers, Victoria E Welch, Karl S Rosengren

“…We used Latent Class Analysis to explore overall patterns in children's questions and parents' responses. …”
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Excess and reduced work absence during COVID-19 in Poland: insights from cause-specific time-series models by Błażej Łyszczarz, Jakub Wojtasik

“…Results We observed notable deviations in work absence rates during the pandemic period (until the end of Q1-2022). …”
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Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion: A Case Study of Beijing, China by Xiao Li, Shaohua Wang, Liang Zhou, Yeran Sun, Jiayi Zheng, Chang Liu, Junyuan Zhou, Cheng Su, Dachuan Xu

“…By analyzing spatial coverage rates of transit stations using road network and administrative division data, the study reveals the convenience of bus networks in different regions. …”
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The association between four dietary indices and mortality risk in cardiovascular disease patients by Mengshan Pan, Tongle Yin, Ying Yang, Feiyun Zhu, Jiamin Xu, Rucheng Chen, Weijun Zheng

“…Abstract Background The Planetary Healthy Diet Index-United States, the Healthy Diet Index, the Mediterranean Diet, and the Dietary Inflammation Index were linked to mortality rates in cardiovascular patients. This study investigated the relationship between these dietary patterns and all-cause mortality risk in U.S. cardiovascular patients from 2005 to 2006 to 2017–2018. …”
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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

“…Our machine learning approach established an activity threshold, above which divergent wavefront patterns—termed “significant sources”—predicted AF recurrence. …”
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Integrative single‐cell transcriptomic analysis deciphers heterogeneous characteristics of gastrointestinal tract cancer by Chuwen Sun, Tong Li, Xin Jin, Zhihui Xiu, Hang Su, Huanming Yang, Ming Liu, Kui Wu

“…Abstract Background Gastrointestinal tract cancer (GIC), including oesophageal cancer (EC), gastric cancer (GC) and colorectal cancer (CRC), is characterised with high global incidence and mortality rates, with similar tumourigenic processes. However, the common and heterogeneous molecular features among GIC at single‐cell level remain poorly characterised. …”
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Effect of attentional bias modification on pre-competition anxiety in athletes by Jing Zhao, Yuhan Yang, Heng Zhang, Yu Nie, Qiulin Wang

“…Attentional bias correction training (ABMT) aims to modify these attention patterns with the aim of alleviating anxiety symptoms. …”
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Pitfalls in the diagnosis of apparent homozygous mutations: two cases of IL10RA deficiency inflammatory bowel disease and a literature review by Xiu Shi, Ziqing Ye, Lai Qian, Wenhui Hu, Ye Yang, Chunmeng He, Zhiheng Huang, Bingbing Wu, Ying Huang

“…Abstract Background In East Asia, IL10RA is the predominant pathogenic gene in patients with very early-onset inflammatory bowel disease (VEO-IBD), frequently characterised by refractory diarrhoea and severe perianal disease, resulting in elevated death rates. IL10RA-deficient IBD, an autosomal recessive genetic disorder, has been documented to be inherited through the conventional compound heterozygous or homozygous mutation patterns from both parents. …”
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques by S. Vijayalakshmi, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

“…Abstract Breast cancer remains a major cause of mortality among women, where early and accurate detection is critical to improving survival rates. This study presents a hybrid classification approach for mammogram analysis by combining handcrafted statistical features and deep learning techniques. …”
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Recent advances in tumor targeted polymeric nanoparticles for HNC treatment: Enhancing therapeutic efficacy via engineered and biocompatible drug delivery systems by Manoj Kumar Srinivasan, Monisha Prasad

“…Head and neck cancer (HNC) represents a heterogeneous group of malignancies with high global incidence and mortality rates. Traditional treatments for advanced HNC, such as combined radiotherapy and chemotherapy, often lead to debilitating long-term side effects that significantly affect patients quality of life. …”
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A novel design for continuous measurement of CO2 from deep remineralization of petrogenic organic carbon by Wan‐Yin Lien, Rick Chen, Jui‐Fen Tsai, Jhen‐Nien Chen, Li‐Hung Lin, Pei‐Ling Wang

“…Measurements in the passive mode yielded stepwise CO2 releases in the fractured zone and steady accumulation in the pulverized zone at rates (18.9–132 mgC m−2 day−1) resembling those for other active orogens. …”
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Prexion: Probabilistic Matching-Based Compression to Mitigate Compression Side Channel Attacks Against HTTPS by Hyoungshick Kim, Sangwon Hyun

“…Furthermore, Prexion ensures robust security, with attack success rates consistently below 5% under recommended configurations.…”
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Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

“…The research indicates that the use of machine learning models and data mining methods can reveal hidden patterns and relationships in big data, making them indispensable tools in the field of education analysis. …”
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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…IFT-GAN introduces two key innovations: 1) A Feature-Aware Sample Selection (FASS) module that employs Fisher score-based feature ranking and weighted k-means clustering to create a balanced subset enriched with discriminative fraud signatures; and 2) A Temporal Dependency GAN (TD-GAN) architecture employing a novel Time-aware Gated Recurrent Unit (TaGRU) in both the generator and discriminator, explicitly modeling the temporal intervals between transactions through adaptive temporal gating. …”
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Using confidence, decision time, and confidence entropy to predict accuracy for online and real eyewitnesses by Adele Quigley-McBride, Rachel Leigh Greenspan

“…Confidence was measured in three ways: human-coded verbal statements, AI-classified verbal statements, and numeric ratings. We compared the correspondence between these confidence metrics, how multiple reflector variables relate to accuracy, and whether these patterns differ across two datasets. …”
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Verbal fluency tasks and attention problems in children with ADHD: evidence from fNIRS by Zouji Bian, Xiquan Ma, Yanhan Wang, Xiaodan Yu

“…Associations with the Swanson, Nolan, and Pelham Rating Scale (SNAP-IV) and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) scores were examined.ResultsChildren with ADHD showed significantly lower DLPFC activation and widespread negative patterns compared to neurotypically developed peers (p < 0.05). …”
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Big Data Analytics Framework for Decision-Making in Sports Performance Optimization by Dan Cristian Mănescu

“…Key results include a 12% reduction in hamstring injury rates in football, a 16% improvement in clutch decision-making accuracy in basketball, and an 8% decrease in 100 m sprint times among athletes. …”
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Astrocyte–microglia crosstalk in subarachnoid hemorrhage: mechanisms and treatments by Kaibo Yu, Ding Wang, Wenhua Yu

“…Subarachnoid hemorrhage (SAH) is a frequently encountered critical emergency characterized by the rupturing of an unhealthy blood vessel, resulting in high mortality and disability rates. Alterations in the neurovascular unit (NVU) are closely related to the pathogenesis of SAH. …”
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Metabolic profiling and antibacterial activity of secondary metabolites extracted from the endophytic bacteria of Combretum erythrophyllum by Olufunto T. Fanoro, Oluwatobi S. Oluwafemi

“…Abstract Antibiotic resistance continues to pose a significant global challenge associated with increased rates of illness and death. The emergence of multidrug resistance patterns in pathogenic bacteria poses a challenge in their treatment, rendering them unmanageable with traditional antibiotics in the foreseeable future. …”
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