Harnessing artificial intelligence for brain disease: advances in diagnosis, drug discovery, and closed-loop therapeutics by Su-jun Fang, Su-jun Fang, Zhao-di Yin, Qi Cai, Li-fan Li, Peng-fei Zheng, Li-zhen Chen, Li-zhen Chen

“…These neural networks are effective at extracting complex patterns from high-dimensional data. By integrating diverse data sources-such as neuroimaging, multi-omics, and clinical information-multimodal AI provides the comprehensive view needed to understand intricate disease mechanisms. …”
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Exploring National Trends in Bladder-Related Urological Procedures: A Nationwide Population-Based Cohort Study by Hyosang Kwon, Wonjong Yang, Sangyong Park, Heesub Lee, Jong Keun Kim, Jun Hyun Han

“…Conclusions This 12-year analysis provided valuable insights into the epidemiological patterns and utilization of bladder-related urological procedures in South Korea. …”
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Understanding hydrometeorological conditions and their relationship with crop production in the upper east region, Ghana by C.I. Kelly, E.F. Boateng, A. Zibrila, S.A. Andam-Akorful, J.A. Quaye-Ballard, P.B. Laari, P. Damoah-Afari

“…This study analyzes long-term patterns in precipitation, (P), evapotranspiration (ET), and meteorological and agricultural drought indices in the Upper East Region (UER) of Ghana from 1981 to 2017. …”
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Development and pan-cancer validation of an epigenetics-based random survival forest model for prognosis prediction and drug response in OS by Chaoyi Yin, Kede Chi, Zhiqing Chen, Shabin Zhuang, Yongsheng Ye, Binshan Zhang, Cailiang Cai

“…Risk stratification analysis revealed distinct therapeutic response patterns, with low-risk groups showing enhanced sensitivity to traditional chemotherapy drugs while high-risk groups responded better to targeted therapies.ConclusionOur epigenetics-based model demonstrates excellent prognostic accuracy (AUC>0.997 in internal validation, 0.832–0.929 in external cohorts) and provides a practical tool for treatment stratification. …”
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Integration of FEM-based permeation analysis and AI-based predictive models for improved chemical grout permeation assessment in heterogeneous soils by Khin Nyein Chan Kyaw, Kuo Chieh Chao, Shinya Inazumi

“…FEM analysis was conducted to investigate grout flow patterns and permeation risks in such soils, revealing that proximity to low-permeability zones significantly influences flow velocity and grout distribution. …”
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Supply Chains Problem During Crises: A Data-Driven Approach by Farima Salamian, Amirmohammad Paksaz, Behrooz Khalil Loo, Mobina Mousapour Mamoudan, Mohammad Aghsami, Amir Aghsami

“…To enhance system robustness, probabilistic demand patterns and disruption risks are considered, ensuring supply chain reliability. …”
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Advanced fault detection in photovoltaic panels using enhanced U-Net architectures by Khalfalla Awedat, Gurcan Comert, Mustafa Ayad, Abdulmajid Mrebit

“…Fault detection in photovoltaic (PV) panels using thermal images remains a significant challenge due to the complexity of thermal patterns, environmental noise, and the subtle nature of anomalies. …”
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Phenomenological insights into holographically reconstructed fractional action cosmology: Cosmic dynamics, thermodynamics, and statefinder diagnostics by Rimi Debnath, Sanjeeda Sultana, Khandro K. Chokyi, Surajit Chattopadhyay

“…According to statefinder diagnostics, the model fits the typical ΛCDM scenario quite well, but it also exhibits patterns that, in certain circumstances, resemble the behaviour of Chaplygin gas. …”
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Diet Quality of Marshallese Mothers of Young Children in Northwest Arkansas: An Exploratory Study by Eliza Short, Alice Ammerman, Rachel Novotny, Chloe Cline, Sarah K. Council, Britni L. Ayers

“… ABSTRACT Objective: To characterize the dietary patterns of Marshallese mothers of young children in Northwest Arkansas, informing the cultural adaptation of nutrition education curricula. …”
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A microhistological key for the identification of plant fragments in herbivore droppings from Mongolia’s steppe and semi-desert. by Bayarmaa Chuluunbat, Gantumur Khuderchuluun, Munkhtulga Dariganga, Nyambayar Batbayar, Badamdorj Bayartogtokh

“…This study examined 93 plant species, focusing on epidermal cell types, stomatal patterns, trichomes, and specialized cells. Key anatomical features, such as elongated, lobed, and angular epidermal cells, along with various stomatal configurations, were essential for plant identification, with anomocytic stomata being particularly prevalent. …”
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Identifying Criteria and Indicators Correlating to the Decline in Psychological Well-Being of Homeless Women: A Systematic Review by Mirkamal Mirnasiri, Hossein Keshavarz Afshar, Abbas Rahiminezhad, Keyvan Salehi

“…Additionally, the results revealed that 42 indicators, including 8 criteria of attachment patterns, family relationships, personality traits, meaninglessness, trauma, physiological problems, environmental stimuli, and psychological problems, predicted low psychological well-being in homeless women. …”
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‘What is ‘wellbeing’ to doctors in training, and how do we improve it? Results of a quantitative survey and thematic analysis of internal medicine trainees by Alexander Emery, Jesal Acharya, Oliver Fox, Emma Rowlandson

“…Seven themes were identified: culture, helplessness and distrust, individual circumstances, physiological needs/safety, rotas and work patterns, stress at work, and value. Conclusion: This study identifies several key factors related to medical trainee wellbeing. …”
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Data-driven assessment of well stimulation in unconventional gas reservoirs by Jian Yang, Song Li, Ji Zeng, Zhaozhong Yang, Xiaogang Li, Tingting He, Liangping Yi, Bing Kong

“…By systematically gathering and processing vast arrays of geological, operational, and production data, this study aims to identify patterns and correlations that can predict stimulation outcomes more accurately. …”
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Impact of COVID-19 on Consumer Behavior in Home Gardening by Pulkit Marwah, Qiqi Chen, Yijie Hou, Yu Yvette Zhang, Hongmin Qin, Mengmeng Gu

“…This paper delves into the shifts in consumer preferences and shopping patterns for gardening products and services during and after the pandemic era. …”
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A Comprehensive Method for Anomaly Detection in Complex Dynamic IoT Systems by Andrii Liashenko, Larysa Globa

“…Anomalies are subsequently identified through significant reconstruction errors, which serve as indicators of deviations from typical patterns. Experimental evaluations on the real-world PeMSD7 dataset demonstrate that the proposed TGNN + Autoencoder method improves detection accuracy by 17.33% compared to traditional methods, reduces false positives by 4.71%, and achieves a 6.02% higher F1-score relative to using TGNN or autoencoder individually. …”
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Label efficient phenotyping for Long COVID using electronic health records by Chuan Hong, Jun Wen, Harrison G. Zhang, Vidul Ayakulangara Panickan, Doris Y. Yang, Alicia W. Chen, Xin Xiong, Xuan Wang, Michele Morris, Sara Morini, Rahul Sangar, Andrew Dey, Malarkodi J. Samayamuthu, Katherine Liao, Clara-Lea Bonzel, Vidisha Tanukonda, Monika Maripuri, Jacqueline Honerlaw, Yuk-Lam Ho, Shyam Visweswaran, Isaac S. Kohane, Kelly Cho, Gabriel Brat, Zongqi Xia, Tianxi Cai

“…Our downstream analysis revealed a pattern of elevated healthcare utilization due to Long COVID, peaking at and continuing beyond the fourth month following COVID infection. …”
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Enset Landraces: Conservation, Distribution, and Use in an Enset-Based Agricultural System by Tafesse Kibatu, Tileye Feyissa, Sebsebe Demissew, Diriba Muleta

“…Representatives from the enset-growing areas of Hadiya, Gedeo, Gurage, and Kembata Tembaro zones and Basketo Special Woreda were selected due to their diverse sociocultural practices, geographic landscapes and distribution, altitude variations, enset farming systems, and rainfall patterns. …”
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Augmented Reality in Vocational Education : Trend, Acquired Skills, and Future Work by Muhammad Oka Ramadhan, Dedi Rohendi, Mustika Nuramalia Handayani, Ade Gaffar Abdullah, Thomas Koehler

“…This study aims to explore the role of Augmented Reality (AR) in enhancing practical skills within vocational education, particularly in response to the evolving needs of the educational sector. …”
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DNA Methylation Biomarker Discovery for Colorectal Cancer Diagnosis Assistance Through Integrated Analysis by Yi-Hsuan Tsai, Yi-Husan Lai, Shu-Jen Chen, Yi-Chiao Cheng, Tun-Wen Pai

“…Methods: We integrated CRC DNA methylation profiles from The Cancer Genome Atlas and comorbidity patterns of CRC to select biomarker candidates. We clustered these candidates near the promoter regions into multiple functional groups based on their functional annotations. …”
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Developing an Entrepreneurial Ecosystem Framework for Student-Led Start-Ups in Higher Education by Artūras Jurgelevičius, Tomas Butvilas, Kristina Kovaitė, Paulius Šūmakaris

“…Descriptive statistics were used to analyze patterns of agreement and variability, resulting in a three-tier framework of success factors based on perceived importance and consensus. …”
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