Sexual behaviors and associated factors among first-year undergraduates at overseas Chinese-oriented universities in China by Zulin Chen, Zulin Chen, Yikun Zheng, Lihan Lin, Lihan Lin, Yongjun Chen, Yunting Zheng, Hongmiao Chen, Hongmiao Chen

“…It also explores sexual behavior patterns and prevention strategies in a multicultural context.MethodsA cluster sampling method was employed to conduct a questionnaire survey among the 2024 cohort of freshmen at Huaqiao University (n = 4,892) in October 2024. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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Directly Fabricated Flexible Photodetector Based on TiO₂-Doped Carbon Nanosheets Film by Yunlong Zhang, Xiaolin Li, Zhipeng Cao, Qiang Wu, Gong Chen, Bo Wen, Dongfeng Diao, Xi Zhang

“…The edge states suppress the recombination rate of photo-generated electron-hole pairs, thereby significantly enhancing the photo-responsive performance. …”
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Airway-microbiome-driven mechanisms of disease during optimised self-management: a lesson learned from mechanistic study of the Colour-COPD trial by Alice M Turner, Daniella Spittle, Karl Staples, David Cleary

“…Analysis of the microbial patterns, which would have been obtained from the respiratory microbiome, will be compared to antibiotic consumption for acute exacerbation of chronic obstructive pulmonary disease (days/year) steroid load (days/year and mg/year), acute exacerbation of chronic obstructive pulmonary disease rate, forced expiratory volume in 1 second and longitudinally within individuals to determine the impact of frequent courses of antibiotics at group and individual level. …”
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Early-stage endometrioid carcinoma with MSH6 protein deficiency: pitfalls in the diagnostic interpretation of microsatellite instability by Cheng Wang, Cheng Wang, Dongni Liang, Dongni Liang, Wei Wang, Wei Wang, Wei Kuang, Wei Kuang, Juan Zou, Juan Zou, Jing Zeng, Jing Zeng, Min Feng, Min Feng

“…This atypical MSI pattern is often overlooked, potentially increasing the risk of underdiagnosis of LS.…”
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Identification of novel diagnostic and prognostic microRNAs in sarcoma on TCGA dataset: bioinformatics and machine learning approach by Rahem Rahmati, Fatemeh Zarimeidani, Farnaz Ahmadi, Hannaneh Yousefi-Koma, Abdolreza Mohammadnia, Maryam Hajimoradi, Shadi Shafaghi, Elham Nazari

“…Abstract The discovery of unique microRNA (miR) patterns and their corresponding genes in sarcoma patients indicates their involvement in cancer development and suggests their potential use in medical management. …”
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Dynamics of free amino acids in beef during thermal processing and mathematical modeling of doneness correlation by Jiayu Sun, Lifen Wang, Zehua Huang, Nianguo Guo, Hongzhou An, Xiaobin Zhan, Mehdi Abddollahi, Zoltan Kovacs

“…During the frying process, beef proteins and free amino acids exhibit recognizable patterns that correspond to the central temperature. …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…In order to overcome these restrictions, this essay suggests a SRR model that integrates Gated Graph Neural Network (GGNN) and Transformer. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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Enhancing Stock Price Forecasting with CNN-BiGRU-Attention: A Case Study on INDY by Madilyn Louisa, Gumgum Darmawan, Bertho Tantular

“…The method applied a hybrid model combining a Convolutional Neural Network (CNN), Bidirectional Gated Recurrent Unit (BiGRU), and an Attention Mechanism (AM) to address the nonlinear, volatile, and noisy characteristics of stock data. …”
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Candidate circRNAs related to skeletal muscle development in Dazu black goats by Chengli Liu, Pu Yang, Xiao Wang, Baiju Xiang, Guangxin E, Yongfu Huang

“…Furthermore, the expression pattern of 10 DEcircRNAs with RT-qPCR was verified, which showed 80% concordance rate with that of RNA_seq datasets. …”
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Dual-omics analysis reveals B vitamin regulation and metabolism in Areca Catechu inflorescence by Wenxiu Jiang, Xiaoxia Liu, Weiying Li, Jing Yang, Panjing Li, Minggeng Xie, Guangzhen Zhou

“…Notably, we characterized a key rate-limiting enzyme in the thiamine biosynthesis pathway, the thiazole synthase (AcTHI1), that plays a crucial role in regulating thiamine biosynthesis. …”
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Pancreatic islet β-cell subtypes are derived from biochemically-distinct and nutritionally-regulated islet progenitors by Monica E. Brown, Verda E. Miranda, Simone Nevills, Ruiying Hu, Prasanna K. Dadi, Alan J. Simmons, Yanwen Xu, Yilin Yang, Mahircan Yagan, Sadia Najam, Leesa L. Sampson, Mark A. Magnuson, David A. Jacobson, Ken S. Lau, Emily Hodges, Guoqiang Gu

“…We show that islet progenitors with distinct gene expression and DNA methylation patterns produce β-cell subtypes of different secretory function, proliferation rate, and viability in male and female mice. …”
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Fencing injuries in French elite fencers: a retrospective analysis from 2016 to 2023 by Hugo Gondouin, Nicolas Zabotto, Edem Allado, Edem Allado, Oriane Hily, Oriane Hily, Margaux Temperelli, Sébastien Le Garrec, Bruno Chenuel, Bruno Chenuel, Mathias Poussel, Mathias Poussel

“…This study aimed to assess injuries in elite French fencers to more precisely characterize the injury patterns in this Olympic sport.DesignThe study included all elite fencers from the French National Institute for Sport, Expertise and Performance from June 2016 to May 2023. …”
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Path to Heritagization in Landscape Architecture: A Review of the Regeneration Design of Beijing Changchunyuan Park by Yufan ZHU

“…This place is a gathering of temples and guild halls and a primary access route to Xuanwu Gate which is the southern gateway to the imperial city. …”
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Identify suitable artificial groundwater recharge zones using hybrid deep learning models by Navaz Khalillollahi, Mohsen Isari, Hamed Faroqi, Kaywan Othman Ahmed, Kamran Nobakht Vakili, Miklas Scholz, Saad Sh. Sammeng

“…This study evaluated four deep learning models for delineating groundwater recharge zones: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and hybrid deep learning Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU). …”
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A new model for predicting characteristics of the near-field leakage in high-pressure CO2 pipelines by Yan Shang, Xiaoling Chen, Peilu Wu, Zhanjie Li, Ming Yang, Xiaokai Xing, Jian Jiao, Xinze Li

“…Understanding the characteristics of near-field leakage is essential for accurately predicting CO2 diffusion patterns and conducting effective risk assessments. …”
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Mechanical behavior of waste rock-based geopolymer as a sustainable backfill material: Strength evolution and fracture mechanisms by Yu Tian, Zhile Wang, Shiyuan Li, Chuning Ji, Chuangang Gong, Abdoul Wahab, Shengkang Zhang, Zhongchen Ao

“…Specifically, the compressive strength test was conducted to evaluate the effect of materials interaction, aggregate gradation index, alkali activator dosage, water-to-binder ratio and waste rock utilization rate on the strength. And acoustic emission (AE) technology was used to clarify fracture mechanisms of materials. …”
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