Employing convolutional neural networks and explainable artificial intelligence for the detection of seizures from electroencephalogram signal by Tamilarasi Kathirvel Murugan, Anush Kameswaran

“…Model visualization and XAI approaches like feature importance analysis from SHAP values offer clear insights into the model's decision-making process. …”
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An in-depth exploration of four heterogeneity structure-based EGFR mutation subgroups in Chinese non-small cell lung cancer by Yongfeng Yu, Fei Yao, Jin Wang, Zhan Huang, Tao Hu, Changbin Zhu, Shun Lu

“…TP53 was the most common co-occurring mutation across the four subgroups, occurring in 60% of the T790M-like subgroup. Interestingly, the Ex20ins group exhibited a notable proportion of genomic alterations related to DNA repair processes. …”
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ScreenMy: a Lightweight Architecture of Tuberculosis-Diabetes Mellitus Screening System Integrating with EMRs by Farid Suryanto, Merita Arini, Imam Riadi

“…Methods: A pilot study investigated the integration process of ScreenMy into an EMR system. Interviews with developers assessed factors like installation ease, flexibility, and impact on the EMR's functionality. …”
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Small and Medium Enterprises Performance and Job Creation in Kabale Municipality. by Ruth, Namara

“…Small and Medium Enterprises help in providing market for agricultural output (raw materials like cabbages, tomatoes). Small–scale enterprises were essential in utilizing the local resources like herbs, firewood, timber, scrap, etc.); these enterprises have other contributions such as food production like hotels which helps in providing food for other consumers. …”
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Toward causal artificial intelligence approach for PM2.5 interpretation: A discovery of structural causal models by Mallika Kliangkhlao, Apaporn Tipsavak, Thanathip Limna, Racha Dejchanchaiwong, Perapong Tekasakul, Kirttayoth Yeranee, Thanyabun Phutson, Bukhoree Sahoh

“…The research uncovers hidden cause-and-effect relationships between meteorological factors and PM2.5 exposure by leveraging a data-driven causal structure discovery approach, effectively representing complex data-generating processes. …”
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Forecasting solar module waste in the United Kingdom by Sophie L. Pain, John D. Murphy

“…In this analysis, we draw on governmental datasets and projections, technical data from across the photovoltaic (PV) manufacturing industry and technoeconomic research to determine the UK's waste processing needs in the event it meets its deployment targets. …”
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Treatment seeking behaviours, antibiotic use and relationships to multi-drug resistance: A study of urinary tract infection patients in Kenya, Tanzania and Uganda. by Keina Sado, Katherine Keenan, Areti Manataki, Mike Kesby, Martha F Mushi, Stephen E Mshana, Joseph R Mwanga, Stella Neema, Benon Asiimwe, Joel Bazira, John Kiiru, Dominique L Green, Xuejia Ke, Antonio Maldonado-Barragán, Mary Abed Al Ahad, Kathryn J Fredricks, Stephen H Gillespie, Wilber Sabiiti, Blandina T Mmbaga, Gibson Kibiki, David Aanensen, V Anne Smith, Alison Sandeman, Derek J Sloan, Matthew T G Holden, HATUA Consortium

“…Using data from 6,388 patients, we analysed patterns of self-reported treatment seeking behaviours ('patient pathways') using process mining and single-channel sequence analysis. …”
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A Review of Land Use and Land Cover in Mainland Southeast Asia over Three Decades (1990–2023) by Jia Liu, Yunfeng Hu, Zhiming Feng, Chiwei Xiao

“…This study also notes a significant evolution in data analysis methods, transitioning from reliance on single data sources to employing sophisticated multi-source data fusion, from manual feature extraction to leveraging automated deep learning processes, and from simple temporal change detection to comprehensive time series analysis using tools like Google Earth Engine (GEE). …”
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Streptococcus pyogenes: phenomenon of nonimmune binding of human immunoglobulins and its role in pathology by L. A. Burova, A. N. Suvorov, A. A. Totolian

“…M and M-like proteins represent the main pathogenicity factors of Streptococcus pyogenes, a widely spread and potentially lethal bacterial pathogen. …”
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The Effect of Gender Inequality in Education on Rural Poverty: A Case Study of Nyakagyeme Sub-County Rukungiri District. by Akaruhanga, Jasper

“…Findings of the study were obtained from the field interpreting the results analyzing based on the specific objectives of the study chapter five portrayed the summary of findings, and recommendations were made such as the Ministry of Labor, Gender and Social Development should address the problem of poverty concerning gender inequality among women in Uganda, there should be awareness raising regarding gender-based violence, the gender inequality should be addressed through social protection programs like equal enjoyment of social services for example clean water in the community, for women to contribute in the development process their potential should be unfolded by sensitizing them about development and providing them with necessary knowledge to help them to be included in the development process and women should get access to economic assets like land and houses that can be used as collateral to secure soft loans…”
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Cognitive impairments in schizophrenia and their impact on oxidative stress by A. S. Piatoikina, T. V. Zhilyaeva, G. E. Mazo

“…As a result of the analysis of the available data, it was concluded that first-generation antipsychotics most likely do not directly impair cognitive abilities, but they can do so indirectly, due to the simultaneous use of anticholinergic drugs that compromise some neurocognitive abilities. …”
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Comparative Morphological Study on the Contemporary liveable Cities: Liveable Urban Form from East to West (Iran, Turkey, and Europe) by Ayda Rastiemadabadi, Sadaf Tabatabaee

“…Four different approaches to urban morphology used in current analysis: historical and natural context, evolution process, space syntax and spatial structure. In addition, comparative analysis helps us to extract data that are more trustable by considering some case studies at the same time. …”
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Impact of Systematic Modeling Uncertainties on Kilonova Property Estimation by D. Brethauer, D. Kasen, R. Margutti, R. Chornock

“…Even for well-observed events like GW170817, the total lanthanide production estimated using different atomic data sets can vary by a factor of ∼6.…”
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A bloom of a single bacterium shapes the microbiome during outdoor diatom cultivation collapse by Naomi E. Gilbert, Jeffrey A. Kimbrel, Ty J. Samo, Anthony J. Siccardi, Rhona K. Stuart, Xavier Mayali

“…Kordia sp. expressed proteins linked to microbial antagonism and biopolymer breakdown, which likely contributed to its dominance over other microbial taxa during diatom demise. …”
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Machine learning‐driven design of dual‐band antennas using PGGAN and enhanced feature mapping by Lung‐Fai Tuen, Ching‐Lieh Li, Yu‐Jen Chi, Chien‐Ching Chiu, Po Hsiang Chen

“…Abstract This paper presents a systematic antenna design methodology that integrates machine learning, leveraging the progressive growth technique of Progressive Growing of GANs (PGGAN) to generate images of various dual‐band PIFA‐like antenna structures. The process involves using data augmentation methods to generate 4180 antenna samples. …”
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Microphysical Characteristics of Tropical Cyclone Choiwan (2021) Outer Rainbands Derived From Polarimetric Radar Observations on a Research Vessel by Shimin Yang, Yu Du, Bin Han, Chong Wu, Hoiio Kong

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The RMaP challenge of predicting RNA modifications by nanopore sequencing by Jannes Spangenberg, Stefan Mündnich, Anne Busch, Stefan Pastore, Anna Wierczeiko, Winfried Goettsch, Vincent Dietrich, Leszek P. Pryszcz, Sonia Cruciani, Eva Maria Novoa, Kandarp Joshi, Ranjan Perera, Salvatore Di Giorgio, Paola Arrubarrena, Irem Tellioglu, Chi-Lam Poon, Yuk Kei Wan, Jonathan Göke, Andreas Hildebrandt, Christoph Dieterich, Mark Helm, Manja Marz, Susanne Gerber, Nicolo Alagna

“…During past decades, RNA modifications like N6-methyladenosine (m6A), pseudouridine (ψ), and 5-methylcytosine (m5C) became acknowledged for playing critical roles in cellular processes. …”
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Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review by Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

“…This article starts with an overview of imaging-based SARS-CoV-2 diagnosis, covering the basic steps of deep learning-based SARS-CoV-2 diagnosis, SARS-CoV-2 data sources, data pre-processing methods, the taxonomy of deep learning techniques, findings, research gaps and performance evaluation. …”
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Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech by Julianna Olah, Win Lee Edwin Wong, Atta-ul Raheem Rana Chaudhry, Omar Mena, Sunny X. Tang

“…The analysis of speech is a promising approach for the diagnosis and monitoring of psychosis, capturing symptoms like thought disorder and flattened affect. Recent advancements in Natural Language Processing (NLP) methodologies enable the automated extraction of informative speech features, which has been leveraged for early psychosis detection and assessment of symptomology. …”
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Comparison of Gait Parameters Collected Across Two Commercially Available Gait Systems in Older Adults by Alexandria Hoang, Jeannette Mahoney, Ying Jin, Sofiya Milman, Nir Barzilai, Joe Verghese, Emmeline Ayers

“…<b>Methods</b>: Baseline gait data from 193 older adults aged 64–94 years old were examined. …”
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