China’s social fake news database release with brain structural, functional, and behavioural measures by Wanting Chen, Jia Shi, Qinghua He

“…While existing research predominantly examines its propagation patterns and psychological drivers, the neural underpinnings remain insufficiently understood. …”
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Using the Active Faults of Eurasia Database for solving tectonic problems by D. M. Bachmanov, E. A. Zelenin, A. I. Kozhurin, V. G. Trifonov

“…This new database contains more than 30000 objects that are geographically linked, equipped with attributes of the kinematic type, estimated movement rates and activity confidence ranks. As an exam‐ ple, we consider processing of the data on several tectonic regions of the Alpine‐Himalayan mobile belt and construction of rose‐diagrams of faults for a comparative analysis of their Late Cenozoic kinematics. …”
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Subtle alteration in transcriptional memory governs the lineage-level cell cycle duration heterogeneities of mammalian cells by Kajal Charan, Sandip Kar

“…Herein, we perform a computational modeling study to demonstrate that correlated fluctuations of the inherited transcription rates during cell cycle progression and their random resetting in mitosis are sufficient to account for the experimentally observed cell cycle duration correlation patterns for cell lineage pairs. …”
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DCS-based MBSBL joint reconstruction of multi-sensors data for energy-efficient telemonitoring of human activity by Jianning Wu, Jiajing Wang, Yun Ling

“…The sparse representation classification model is used to classify activity patterns using the jointly reconstructed data in order to further examine the effectiveness of our proposed method. …”
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Travel Time Information on Signalized Arterials by Jinhwan Jang

“…Additionally, a travel time prediction algorithm that integrates Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNNs), referred to as LSTM-CNN, was developed to capture both long-term trends and local patterns in travel time data. The implementation of these algorithms resulted in a 2.2% reduction in error rates under congested conditions compared to current practices. …”
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Examining Deep Learning Techniques for Ethical Artificial Intelligence: Cleansing Malicious Comments from Users by Ji Woong Yoo, Kyoung Jun Lee, Arum Park

“…Our findings demonstrate that deep learning models surpass CleanBot in accuracy and block rates for handling negative user comments, including malicious ones, enabling organizations to effectively manage such comments in online communities using AI-based methods. …”
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Analysis of COVID-19 Pandemic Waves in Death Figures of Turkey by Muzaffer Balaban

“…By understanding the trends and patterns in mortality rates, decision-makers can make informed choices on prioritization of interventions to pandemics. …”
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Gradience and optionality in the syntactic realization of focus by Silvio Cruschina, Laia Mayol

“…Casted as weighted soft constraints, they do not cause ungrammaticality when violated, but the greater their weight, the more unacceptable their violation becomes, which can explain the observed patterns.  …”
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An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study proposes a novel automated technique for diagnosing Schizophrenia based on electroencephalogram (EEG) sensor data, aiming to enhance interpretability and prediction performance.MethodsThis research utilizes Deep Learning (DL) models, including the Deep Neural Network (DNN), Bi-Directional Long Short-Term Memory-Gated Recurrent Unit (BiLSTM- GRU), and BiLSTM with Attention, for the detection of Schizophrenia based on EEG data. …”
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Global burden of breast cancer and application of patient-reported outcomes in clinical trials: a systematic analysis based on the global burden of disease study 2021 and WHO inter... by Jiaxin Hao, Jiaxin Hao, Yijia Gong, Yijia Gong, Xiaowen Zhang, Xiaowen Zhang, Xiaowen Zhang, Minghong Du, Minghong Du, Minghong Du, Huan Wang, Huan Wang, Huan Wang, Guolin Guo, Mengqing Zhou, Tian Tian, Hongguo Rong, Hongguo Rong, Hongguo Rong

“…This study analyzes geographic patterns, temporal trends and age patterns of female breast cancer disease burden globally and explored the association between age standardised rates for disability adjusted life years (ASDR) of female breast cancer and sociodemographic index (SDI). …”
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Different molecular characteristics and antimicrobial resistance profiles of Clostridium difficile in the Asia-Pacific region by Yun Luo, Elaine Cheong, Qiao Bian, Deirdre A. Collins, Julian Ye, Jeong Hwan Shin, Wing Cheong Yam, Tohru Takata, Xiaojun Song, Xianjun Wang, Mini Kamboj, Thomas Gottlieb, Jianmin Jiang, Thomas V. Riley, Yi-Wei Tang, Dazhi Jin

“…The antimicrobial resistance patterns were significantly different among the eight sites (χ2 = 325.64, p < 0.001). …”
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Clinicopathological Evaluation of Rhabdomyosarcoma with Emphasis on Myogenin Expression and FOXO1 Gene Fusion in Various Morphological Subtypes: A Cohort Study by Sindhu Ramamurthy, Ahwini Nargund, Geeta V Patil Okaly, Usha Amirtham, Arun Kumar, Ahok Kumar

“…Among the four histomorphological subtypes of RMS, distinguishing the dense pattern of Embryonal RMS (ERMS) from the solid pattern of Alveolar RMS (ARMS) solely based on morphology is challenging and necessitates ancillary techniques. …”
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Global assessment of current extinction risks and future challenges for turtles and tortoises by Chuanwu Chen, Jiang Wang, Marcel Holyoak, Liu Lin, Yanping Wang

“…Furthermore, the projected rates of climatic and environmental changes across species’ distributions are significantly higher than the rates of evolution for traits linked to resilience to climate change and altered environments. …”
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Analysis of influencing factors on recurrence and metastasis of pT1b ~ pT4aNOM0 esophageal squamous cell carcinoma after radical surgery in Northeast Sichuan region by Wenxia Ren, Lei Yu, Yu Cui, Daiyuan Ma

“…Abstract Background The incidence and mortality rates of esophageal cancer are high, yet public awareness of this disease remains low, particularly in the northeastern Sichuan region. …”
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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…Concurrently, variational mode decomposition (VMD) provides frequency-domain decomposition capability, while the gated recurrent unit (GRU) captures long-term dependencies. …”
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Trade-offs between machine learning and deep learning for mental illness detection on social media by Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang, Yuchen Cao, Yunchong Liu, Xiaorui Shen, Yexin Tian, Jianglai Dai

“…This study evaluates multiple ML models, including logistic regression, random forest, and LightGBM, alongside DL architectures such as ALBERT and Gated Recurrent Units (GRUs), for both binary and multi-class classification of mental health conditions. …”
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A Real-World Case Study Towards Net Zero: EV Charger and Heat Pump Integration in End-User Residential Distribution Networks by Thet Paing Tun, Oguzhan Ceylan, Ioana Pisica

“…Based on the outcome of power flow calculation, the transformer loadings and voltage levels were assessed for existing and projected heat pump and EV adoption rates, in line with national policy targets. Findings highlight that varied consumer density and diverse usage patterns significantly influence upgrade requirements.…”
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Multistage Training of Fuzzy Cognitive Maps to Predict Preeclampsia and Fetal Growth Restriction by William Hoyos, Rodrigo Garcia, Jose Aguilar

“…The application of these models in healthcare settings holds promise as a valuable tool for the early detection of PE and FGR, contributing to the reduction of morbidity and mortality rates.…”
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How the pandemic shaped presenteeism trends between healthcare and non-healthcare workers using the Korean working conditions surveys (2010–2023) by Ari Min, Yoonjung Ji, Wonhee Baek

“…Healthcare workers exhibited high presenteeism rates prior to the pandemic; however, during and after the pandemic, these rates decreased rapidly and ultimately became lower than those of non-healthcare workers. …”
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Factors contributing to doctoral student attrition in higher education institutions in Namibia by Esther Nuuyoma, Sing Nevensha, Chika T Sehoole

“…Guided by Tinto’s student integration theory, this study explores factors driving high dropout rates among doctoral candidates at two Namibian universities. …”
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