Research on Pressure Exertion Prediction in Coal Mine Working Faces Based on Data-Driven Approaches by Yiqi Chen, Changyou Liu, Ningbo Zhang, Huaidong Liu, Xin Yu, Shibao Liu, Jianning Hu

“…Given this, a data-driven pressure prediction method is proposed, which uses deep learning models to learn the patterns in existing data and generate the required predictions. …”
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Interference in melanoma CD248 function reduces vascular mimicry and metastasis by Cheng-Hsiang Kuo, Ya-Fang Wu, Bi-Ing Chang, Chao-Kai Hsu, Chao-Han Lai, Hua-Lin Wu

“…Horizontal and vertical cell migration assays were performed to analyze cell migration activity, and cell-patterned network formation on Matrigel was used to evaluate vascular mimicry activity. …”
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MRI-based risk factors for intensive care unit admissions in acute neck infections by Jari-Pekka Vierula, Harri Merisaari, Jaakko Heikkinen, Tatu Happonen, Aapo Sirén, Jarno Velhonoja, Heikki Irjala, Tero Soukka, Kimmo Mattila, Mikko Nyman, Janne Nurminen, Jussi Hirvonen

“…Abscess diameters were measured on post-gadolinium T1-weighted Dixon MRI, and specific edema patterns, retropharyngeal (RPE) and mediastinal edema, were assessed on fat-suppressed T2-weighted Dixon MRI. …”
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The role of artificial intelligence in promoting health and developing preventive strategies for diabetes by Ameneh Marzban

“…Dear Editor Diabetes remains a significant public health challenge, and the integration of artificial intelligence (AI) presents remarkable opportunities to enhance early diagnosis, personalized treatment, and effective prevention strategies.1 AI algorithms, including supervised learning and convolutional neural networks, can efficiently analyze large datasets to identify patterns and risk factors associated with diabetes, surpassing the capabilities of traditional methods.2 This advanced analysis enables healthcare providers to predict the likelihood of diabetes in individuals and populations, facilitating timely interventions and customized prevention strategies. …”
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Molecular mechanism of PANoptosis and programmed cell death in neurological diseases by Ketian Hou, Wenhan Pan, Lianhui Liu, Qianqian Yu, Jiahao Ou, Yueqi Li, Xi Yang, Zhenlang Lin, Jun Hui Yuan, Mingchu Fang

“…This review systematically deciphers PANoptosome assembly mechanisms and associated cell death cascades, evaluates their pathological roles in neurological disorders through multiscale regulatory networks, and proposes PANoptosis-targeted therapeutic frameworks to advance precision neurology.…”
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Integrated multi-omics analysis reveals the functional and prognostic significance of lactylation-related gene PRDX1 in breast cancer by Qinqing Wu, Qinqing Wu, Heng Cao, Jiangdong Jin, Dongxu Ma, Yixiao Niu, Yixiao Niu, Yanping Yu, Yanping Yu, Xiang Wang, Yiqin Xia

“…Using Summary-based Mendelian Randomization (SMR) analysis, we identified LRGs associated with BRCA and comprehensively analysed the expression patterns of PRDX1, cell-cell communication networks, and spatial heterogeneity. …”
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Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass by Rodolfo Ceriani, Sebastian Brocco, Monica Pepe, Silvio Oggioni, Giorgio Vacchiano, Renzo Motta, Roberta Berretti, Davide Ascoli, Matteo Garbarino, Donato Morresi, Francesco Bassi, Francesco Fava

“…The resulting spatial maps were artifact-free and successfully delineated ecological gradients and management patterns. This study underscores the promise of spaceborne hyperspectral-LiDAR data integration for SV and AGB mapping in mixed mountain forest ecosystems, However, it also emphasizes trade-offs between sensor spectral, spatial and temporal resolutions, thus the importance of upcoming hyperspectral missions, such as CHIME, combining hyperspectral capabilities with high spatial resolution and regular data acquisitions at global scale.…”
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AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP by Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar

“…This research underscores the potential of predictive modeling to enhance pharmacovigilance efforts and ensure safer clinical trial outcomes. • The research methodology includes a comparison of supervised learning algorithms, such as Logistic Regression, Random Forest, Gradient Boost, CNN, and genetic algorithms, to identify patterns and anomalies in clinical trial data. BERT and GPT, were also employed to provide the functionality of textual interactions over medical data. • Performance metrics such as accuracy, precision, recall, and F1-score were systematically applied to evaluate each model’s performance. …”
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Mycorrhizal and nutrient controls of carbon sequestration in tropical rainforest soil by Jie Chen, Xin Tang, Han Xu, Yanpeng Li, Adriana Corrales, Yide Li, Yakov Kuzyakov, Zhanfeng Liu, Shirong Liu

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Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study by Kim Daniels, Sharona Vonck, Jolien Robijns, Kirsten Quadflieg, Jochen Bergs, Annemie Spooren, Dominique Hansen, Bruno Bonnechère

“…Participants then integrated the app into their daily activities for 5 weeks. Behavioral patterns such as user session duration, feature use frequency, and navigation paths were analyzed, focusing on engagement metrics and user interactions. …”
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Chemical Composition and Biological Activities of <i>Lagopsis supina</i> Extract: Antioxidant, Adipogenic, and Ani-Inflammatory Effects by Juhyun Choi, Duc Dat Le, Nayoung Roh, Jiseok Lee, Deumaya Shrestha, Thientam Dinh, Vinhquang Truong, Badamtsetseg Bazarragchaa, Soo-Yong Kim, Sung-Suk Suh, Mina Lee, Jong Bae Seo

“…Ultra-high-performance liquid chromatography-electrospray ionization Orbitrap tandem mass spectrometry (UHPLC-ESI-Orbitrap-MS/MS)-based molecular networking was used to characterize its secondary metabolites. …”
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Examining the evolution and impact of OTC vending machines in Global Healthcare Systems by Ammar Abdulrahman Jairoun, Sabaa Saleh Al-Hemyari, Moyad Shahwan, Sahab Alkhoujah, Faris El-Dahiyat, Ammar Ali Saleh Jaber, Sa'ed H. Zyoud

“…Data analysis included bibliometric indicators such as publication counts, citation trends, and co-authorship networks, which were visualized using VOSviewer software (version 1.6.20) to highlight key research themes and collaboration patterns. …”
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Representation of the perception of effective factors on the implementation of Eric Cheng's knowledge management model in secondary schools of West Azarbaijan province by parivash mohammadi gheshlagh

“…There are different patterns and models for knowledge management, but it should be noted that each organization may have its own needs and should implement the knowledge management system based on its own conditions. …”
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Machine learning based insights into cardiomyopathy and heart failure research: a bibliometric analysis from 2005 to 2024 by Muhammad Junaid Akram, Muhammad Junaid Akram, Asad Nawaz, Asad Nawaz, Yuan Yuxing, Yuan Yuxing, Jinpeng Zhang, Jinpeng Zhang, Huang Haixin, Huang Haixin, Lingjuan Liu, Lingjuan Liu, Xu Qian, Jie Tian, Jie Tian

“…Key metrics examined included top institutions, countries, journals, keywords, co-authorship networks, and keyword co-occurrence patterns. Additionally, the analysis evaluated publication counts, citation trends, H-index, and collaboration metrics to identify research trends and emerging themes in the field.ResultsA total of 2,110 publications retrieved from the last 20 years were included in the analysis. …”
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Associations of plasma SMOC1 and soluble IL6RA levels with the progression from mild cognitive impairment to dementia by Xavier Morató, Raquel Puerta, Amanda Cano, Adelina Orellana, Itziar de Rojas, María Capdevila, Laura Montrreal, Maitée Rosende-Roca, Pablo García-González, Claudia Olivé, Fernando García-Gutiérrez, Josep Blázquez, Andrea Miguel, Raúl Núñez-Llaves, Vanesa Pytel, Montserrat Alegret, María Victoria Fernández, Marta Marquié, Sergi Valero, Jose Enrique Cavazos, Santos Mañes, Mercè Boada, Alfredo Cabrera-Socorro, Agustín Ruiz

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Understanding the Mindset of Protesting Women Regarding the Causes and Consequences of Protest Actions: A Qualitative Study of Imprisoned Female Protesters in Yazd by Ali Nikmanesh, Ali Ruhani, Seyed Alireza Afshani, Ahmad Kalateh Sadati

“…Materials & MethodsThis study utilized thematic analysis, a versatile qualitative research method designed to identify patterns and themes within the data. Thematic analysis facilitates summarization, organization, and interpretation of data, making it a fundamental technique in qualitative research.Data collection involved semi-structured interviews with 8 female participants, who had taken part in the 2022 protests. …”
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Thermo-hydro-mechanical coupling mechanisms and sensitivity analysis of abandoned mine thermal energy storage systems by Liyuan LIU, Yaohui LI, Tao WANG, Tongbin ZHAO, Qiang KOU, Zerui MI, Le ZHANG

“…The formation of artificial pseudo-aquifers through mine void networks allows contained hydrothermal resources to demonstrate substantial heat supply potential to surrounding areas. …”
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大學教師學術發表影響力之影響因素 Factors Influencing Publication Impact of Faculty by 郭玲玲 Ling-Ling Kueh, 許清芳 Ching-Fan Sheu

“…Despite their professional and research interests, faculty members’ academic research output and impact patterns are often shaped by the opportunities created and the requirements imposed by their affiliated institutions (Way et al., 2019). …”
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Improving vulnerable Calbindin1− neurons in the ventral hippocampus rescues tau-induced impairment of episodic memory by Huiyang Lei, Jingru Lv, Fuqiang Zhang, Linyu Wei, Kun Shi, Jiale Liu, Ting He, Rui Xiong, Fei Sun, Tongkai Zhong, Jingqi Zhao, Dan Ke, Qun Wang, Peiran Jiang, Ai-Min Bao, Jian-Zhi Wang, Ying Yang

“…Meanwhile, tau accumulation significantly inhibited the excitability and firing patterns of dvCA1Calb1− neurons associated with temporal-order discrimination. …”
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High-flow nasal cannula therapy versus continuous positive airway pressure for non-invasive respiratory support in paediatric critical care: the FIRST-ABC RCTs by Padmanabhan Ramnarayan, Alvin Richards-Belle, Karen Thomas, Laura Drikite, Zia Sadique, Silvia Moler Zapata, Robert Darnell, Carly Au, Peter J Davis, Izabella Orzechowska, Julie Lester, Kevin Morris, Millie Parke, Mark Peters, Sam Peters, Michelle Saull, Lyvonne Tume, Richard G Feltbower, Richard Grieve, Paul R Mouncey, David Harrison, Kathryn Rowan

“…Recommendations for research Recommendation 1 Secondary analyses exploring patient characteristics and patterns of physiological parameters that predict treatment failure, including intubation. …”
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