Predicting Index Trend Using Hybrid Neural Networks with a Focus on Multi-Scale Temporal Feature Extraction in the Tehran Stock Exchange by Mohammad Osoolian, Ali Nikmaram, Mahdi Karimi

“…A wide array of predictive modeling techniques have been meticulously investigated, spanning from conventional statistical methodologies to more sophisticated machine learning algorithms. The primary focus of this research endeavor revolves around the predictive analysis of the Tehran Stock Exchange (TSE) Composite Index, wherein a novel hybrid neural network framework is employed. …”
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Transcriptome-wide analysis reveals potential roles of CFD and ANGPTL4 in fibroblasts regulating B cell lineage for extracellular matrix-driven clustering and novel avenues for imm... by Hongwei Wang, Yu-nan Zhu, Sifan Zhang, Kexin Liu, Rong Huang, Zhigao Li, Lan Mei, Yingpu Li

“…Methods Transcriptome and genome data of breast cancer patients from TCGA database was downloaded. …”
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Canonical correlation analysis for multi-omics: Application to cross-cohort analysis. by Min-Zhi Jiang, François Aguet, Kristin Ardlie, Jiawen Chen, Elaine Cornell, Dan Cruz, Peter Durda, Stacey B Gabriel, Robert E Gerszten, Xiuqing Guo, Craig W Johnson, Silva Kasela, Leslie A Lange, Tuuli Lappalainen, Yongmei Liu, Alex P Reiner, Josh Smith, Tamar Sofer, Kent D Taylor, Russell P Tracy, David J VanDenBerg, James G Wilson, Stephen S Rich, Jerome I Rotter, Michael I Love, Laura M Raffield, Yun Li, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Analysis Working Group

“…Applying our SMCCA-GS to MESA and JHS, we identified strong associations between blood cell counts and protein abundance, suggesting that adjustment of blood cell composition should be considered in protein-based association studies. …”
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Research on algorithm for improving imaging accuracy of CFRP low speed impact damage by WU Xiangnan, CHENG Xiaojin, LI Qixin, SHANG Jianhua

“…C-scan represents a conventional ultrasonic imaging method. To address the issue of low imaging precision in C-scan detection of internal damage caused by low-velocity impact in CFRP，gradient operators were employed to process the original images，and transfer learning methodology was utilized to conduct damage classification training on ResNet18 and ResNet50 architectures. …”
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Re-use of Building Products in the Netherlands by Loriane Icibaci

“…Although in the real world different factors combined influence changes in the housing stock, in this research, the method to analyze trends in the housing stock behavior explored the evolution of different characteristics in the stock through binary “increase” or “decrease” trends based on historical data. …”
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Automated assessment of EEG background for neurodevelopmental prediction in neonatal encephalopathy by Micheline Lagacé, Saeed Montazeri, Daphne Kamino, Eva Mamak, Linh G. Ly, Cecil D. Hahn, Vann Chau, Sampsa Vanhatalo, Emily W. Y. Tam

“…Abstract Objective Assess the capacity of brain state of the newborn (BSN) to predict neurodevelopment outcomes in neonatal encephalopathy. Methods Trends of BSN, a deep learning‐based measure translating EEG background to a continuous trend, were studied from a three‐channel montage long‐term EEG monitoring from a prospective cohort of 92 infants with neonatal encephalopathy and neurodevelopmental outcomes assessed by Bayley Scales of Infant Development, 3rd edition (Bayley‐III) at 18 months. …”
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Screen Time Is Associated With Cardiometabolic and Cardiovascular Disease Risk in Childhood and Adolescence by David Horner, Marie Jahn, Klaus Bønnelykke, Bo Chawes, Trine Flensborg‐Madsen, Ann‐Marie Malby Schoos, Jakob Stokholm, Morten Arendt Rasmussen

“…Discretionary screen time, reported by parents or self, was assessed in relation to a composite cardiometabolic risk score based on Z scores of waist circumference, systolic blood pressure, high‐density lipoprotein cholesterol, triglycerides, and glucose. …”
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Is the flipped classroom more effective than the traditional classroom in clinical medical education: a systematic review and meta-analysis by Xu-Ying Shi, Qing Yin, Qiu-Wen Wang, Bing-Rui Lu, Guo-Xiang Li, Shu-Hong Huang, Zhi-Gang Sun

“…However, no statistically significant difference was observed in student satisfaction (SMD = −0.195, 95% CI: −1.081 to 0.691, p = 0.667).ConclusionThe flipped classroom teaching method is more effective in enhancing the theoretical scores, composite scores, and skill scores of clinical medicine students compared to the traditional classroom teaching method. …”
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DCDGAN-STF: A Multiscale Deformable Convolution Distillation GAN for Remote Sensing Image Spatiotemporal Fusion by Yan Zhang, Rongbo Fan, PeiPei Duan, Jinfang Dong, Zhiyong Lei

“…Among the existing fusion algorithms, deep learning-based fusion models have demonstrated outstanding performance. …”
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Association between lower geriatric nutritional risk index and low cognitive functions in United States older adults: a cross-sectional study by Jiuling Liu, Melysze Deanne Oorloff, Adithya Nadella, Ning Zhou, Min Ye, Yifeng Tang, Yuanwei Wang

“…Cognitive function was assessed using the Consortium to Establish a Registry for Alzheimer’s disease word list learning test (CERAD W-L), the Digit Symbol Substitution Test (DSST), the Animal Fluency Test (AFT), and the composite-z score which was calculated by summing the z scores of individual tests, respectively. …”
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Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions by Mini Han Wang, Mini Han Wang, Mini Han Wang, Mini Han Wang, Mini Han Wang, Xudong Jiang, Xudong Jiang, Xudong Jiang, Xudong Jiang, Peijin Zeng, Peijin Zeng, Peijin Zeng, Xinyue Li, Kelvin Kam-Lung Chong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Xiangrong Yu, Junbin Fang, Yi Pan

“…This study explores the application of IoT-enabled, AI-driven systems for detecting and managing Dry Eye Disease (DED), emphasizing the use of prompt engineering to enhance system performance.MethodsA specialized prompt mechanism was developed utilizing OpenAI GPT-4.0 and ERNIE Bot-4.0 APIs to assess the urgency of medical attention based on 5,747 simulated patient complaints. …”
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Day-ahead photovoltaic power forecasting with multi-source temporal-feature convolutional networks by Ziming Ouyang, Zhaohui Li, Xiangdong Chen

“…In this paper, we propose a composite data augmentation method and a model that can effectively utilize the augmented data. …”
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Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiographyResearch in context by Jiesuck Park, Jiyeon Kim, Jaeik Jeon, Yeonyee E. Yoon, Yeonggul Jang, Hyunseok Jeong, Youngtaek Hong, Seung-Ah Lee, Hong-Mi Choi, In-Chang Hwang, Goo-Yeong Cho, Hyuk-Jae Chang

“…Methods: We created a dual-pathway AI system for AS evaluation using a nationwide echocardiographic dataset (developmental dataset, n = 8427): 1) a deep learning (DL)-based AS continuum assessment algorithm using limited 2D TTE videos, and 2) automating conventional AS evaluation. …”
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Evaluation of Lateral Triangular Flaps When Combined With Bilateral Superficial Epigastric Artery Flap for Shaft-only Penile Reconstruction by Ashraf El Eebaie Mohamed, MD, PhD, Ahmed Abdelsalam Hafez Hamza, MD, PhD, Mohammed Ahmed Hussein, MD, PhD

“…Two triangular flaps were designed at the base of the main rectangular flap to facilitate further mobilization of the neophallus. …”
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Development and Validation of a Critical Thinking Questionnaire: A Case Study of the Lived Experience of Students from the University of Isfahan and Isfahan University of Medical S... by Esmaeil Kashef, Maghsod Farasatkhah, Vahid Ghasemi, Mozhgan Mohammadi Naeni

“…The information about this population was organized by university, faculty, academic level, and gender. Statistical methods were employed at the two descriptive and inferential levels. …”
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Understanding patient pathways to Mother and Baby Units: a longitudinal retrospective service evaluation in the UK by Nikolina Jovanović, Žan Lep, Giles Berrisford, Aysegul Dirik, Julia Barber, Bukola Kelani, Olivia Protti

“…In this study, we wanted to learn how women reach Mother and Baby Units in the United Kingdom. …”
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Evaluation of parenting interventions for those with additional health and social care needs during pregnancy: THRIVE a multi-arm RCT with embedded economic and process components by Marion Henderson, Anja Wittkowski, Katie Buston, Karen Crawford, Alice MacLachlan, Alex McConnachie, Emma McIntosh, Claudia-Martina Messow, Catherine Nixon, Rosaleen O’Brien, Shona Shinwell, Daniel Wight, Yiqiao Xin, Rachel Calam, Ruth Dundas, James Law, Helen Minnis, Lucy Thompson, Philip Wilson

“…ETPB incorporates social learning principles, with an emphasis on families. …”
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Population dynamics and monitoring applied to decision-making by M. J. Conroy, D. C. Lee

“…The results have important implications for managers, who may endeavor to cut costs by using index–based methods, while in the process incur these hidden costs of loss of decision utility. …”
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Secondary prevention by striking the balance in 24-hour movement behaviour by empowering people at risk with a stroke: rationale and design of the RISE intervention randomised cont... by Johanna M van Dongen, Coralie English, Johanna M A Visser-Meily, Cindy Veenhof, Yvonne A W Hartman, Camille F M Biemans, Suzanne Broers, Sophie Pagen, Wendy Hendrickx, Olaf W Verschuren, Martijn F Pisters

“…We aim to determine the effectiveness and cost-effectiveness of the RISE (Reduce and Interrupt sedentary behaviour using a blended behavioural intervention to Empower people at risk towards sustainable 24-hour movement behaviour change) intervention by improving 24-hour movement behaviour for prevention of MACE and gaining quality-adjusted life years (QALYs) in community-dwelling people at risk with a first-ever stroke.Methods and analysis This assessor-blinded multicentre randomised controlled trial includes about 1000 participants with a first-ever stroke, of which 752 participants require secondary prevention based on their 24-hour movement behaviour. …”
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Enhanced discovery of bacterial laccase‐like multicopper oxidase through computer simulation and metagenomic analysis of industrial wastewater by Ting Cui, Ariel Kushmaro, Hana Barak, Anja Poehlein, Rolf Daniel, Hans‐Jürgen Mägert

“…Three‐dimensional structures of identified enzymes were predicted using alphafold, the positions of metal ions within the proteins were predicted by metal3d and autodock‐vina, and their docking with ABTS [i.e. 2,2′‐azinobis(3‑ethylbenzo‐6‑thiazolinesulfonic acid)] as a substrate was predicted by rosetta and autodock‐vina. Based on the docking results, we selected 10 high‐scoring proteins, two low‐scoring proteins and one composite protein for expression using the pET‐21d (+) vector. …”
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