Application of deep learning models on single-cell RNA sequencing analysis uncovers novel markers of double negative T cells by Tian Xu, Qin Xu, Ran Lu, David N. Oakland, Song Li, Liwu Li, Christopher M. Reilly, Xin M. Luo

“…However, advanced deep learning models such as Single Cell Variational Inference (scVI) have the capability to capture nonlinear gene expression patterns in the sequencing data. …”
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Advancing the Indian cattle pangenome: characterizing non-reference sequences in Bos indicus by Sarwar Azam, Abhisek Sahu, Naveen Kumar Pandey, Mahesh Neupane, Curtis P Van Tassell, Benjamin D Rosen, Ravi Kumar Gandham, Subha Narayan Rath, Subeer S Majumdar

“…This rich genetic diversity underscores the inadequacy of a single reference genome to fully capture the genomic landscape of Indian cattle. To comprehensively characterize the genomic variation within Bos indicus and, specifically, dairy breeds, we aim to identify non-reference sequences and construct a comprehensive pangenome. …”
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Social media discourse and internet search queries on cannabis as a medicine: A systematic scoping review. by Christine Mary Hallinan, Sedigheh Khademi Habibabadi, Mike Conway, Yvonne Ann Bonomo

“…This real-world data can be captured from a variety of sources such as found in routinely collected health care and health services records that include but are not limited to patient generated data from medical, administrative and claims data, patient reported data from surveys, wearable trackers, patient registries, and social media. …”
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Nonfimbrial Adhesin Mutants Reveal Divergent Escherichia coli O157:H7 Adherence Mechanisms on Human and Cattle Epithelial Cells by Matthew R. Moreau, Indira T. Kudva, Robab Katani, Rebecca Cote, Lingling Li, Terrance M. Arthur, Vivek Kapur

“…Surprisingly, four nonfimbrial adhesin gene deletions were actually able to confer the hyperadherent phenotype on RSE cells. …”
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Impact of the COVID-19 pandemic on type 2 diabetes care and factors associated with care disruption in Kenya and Tanzania by Richard E. Sanya, Caroline H. Karugu, Peter Binyaruka, Shukri F. Mohamed, Lyagamula Kisia, Peter Kibe, Irene Mashasi, Grace Mhalu, Christopher Bunn, Manuela Deidda, Frances S. Mair, Eleanor Grieve, Cindy M. Gray, Sally Mtenga, Gershim Asiki

“…Data were collected in February–April 2022 reflecting experiences at two time-points, three months before and the three months most affected by the COVID-19 pandemic. A questionnaire captured data on blood glucose testing, changes in medication prescription and access, and healthcare provider access. …”
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Conservation of wild western honey bees Apis Mellifera in the Polissia natural zone of Ukraine: history, sources of nectar and pollen by Sichenko O., Kryvyi M., Horchanok A., Kuzmenko O., Tytariova O.

“…Such beekeeping is based on the capture of wild swarms and does not involve selective breeding. …”
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Evaluation of Machine Learning Models for Stress Symptom Classification of Cucumber Seedlings Grown in a Controlled Environment by Kyu-Ho Lee, Samsuzzaman, Md Nasim Reza, Sumaiya Islam, Shahriar Ahmed, Yeon Jin Cho, Dong Hee Noh, Sun-Ok Chung

“…A cost-effective RGB camera, integrated with a microcontroller, captured images from the top of the seedlings over a two-week period, from which sequential forward floating selection (SFFS) and correlation matrices were used to streamline feature extraction. …”
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Vis/NIR Spectroscopy and Vis/NIR Hyperspectral Imaging for Non-Destructive Monitoring of Apricot Fruit Internal Quality with Machine Learning by Tiziana Amoriello, Roberto Ciorba, Gaia Ruggiero, Francesca Masciola, Daniela Scutaru, Roberto Ciccoritti

“…Spectral data emphasized genetic similarities and differences among the cultivars, capturing changes in the pigment content and macro components of the apricot samples. …”
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PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detection by Zhou Wang, Yuting Su, Feng Kang, Lijin Wang, Yaohua Lin, Qingshou Wu, Huicheng Li, Zhiling Cai

“…By extracting the feature information of small objects in the high-resolution stage of the image, the P2 layer helps the network better capture small objects. At the same time, in order to reduce unnecessary calculations and lower the complexity of the model, we removed the P5 layer. …”
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The role of gut microbiota in disease management: Ayurvedic perspectives on metabolic diseases and health by Bhawana Jangra, Shreyanshi Kulshreshtha, Alok Goyal, Sanjay M. Jachak

“…Background: In the past few years, the critical role of gut microbiome in the maintenance of overall health and various diseases has captured significant attention. Various studies underline the importance of maintaining a healthy gut. …”
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Quantifying synthetic bacterial community composition with flow cytometry: efficacy in mock communities and challenges in co-cultures by Fabian Mermans, Ioanna Chatzigiannidou, Wim Teughels, Nico Boon

“…However, since the technique captures the phenotypic state of bacterial cells, accurate determination of community composition could be affected when bacteria are co-cultured. …”
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Le corps féminin à Casablanca : un reflet mouvant des rôles de genre ? by Leila Bouasria, Nezha Aidi

“…Women increasingly demand equality in terms of emotional and sexual matters, leading to a growing interest in the consumption of bodily aesthetics, which is actually a liberation from certain intergenerational gendered logics, as well as those related to race and class.…”
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High speciation in the cryptic Pristimantis celator clade (Anura: Strabomantidae) of the Mira river basin, Ecuador-Colombia by Mario H. Yánez-Muñoz, Juan P. Reyes-Puig, Carolina Reyes-Puig, Gabriela Lagla-Chimba, Christian Paucar-Veintimilla, Miguel A. Urgiles-Merchán, Julio C. Carrión-Olmedo

“…Through detailed analyses of type material and expanded molecular sampling, we found that the original description actually included specimens representing two additional species, which are described herein. …”
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Sex-biased prevalence in infections with heterosexual, direct, and vector-mediated transmission: a theoretical analysis by Andrea Pugliese, Abba B. Gumel, Fabio A. Milner, Jorge X. Velasco-Hernandez

“…The results on final attack ratios are actually quite similar to those obtained with the second model. …”
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Identifying Digital Markers of Attention-Deficit/Hyperactivity Disorder (ADHD) in a Remote Monitoring Setting: Prospective Observational Study by Heet Sankesara, Hayley Denyer, Shaoxiong Sun, Qigang Deng, Yatharth Ranjan, Pauline Conde, Zulqarnain Rashid, Philip Asherson, Andrea Bilbow, Madeleine J Groom, Chris Hollis, Richard J B Dobson, Amos Folarin, Jonna Kuntsi

“…ObjectiveThe main aim of this study was to investigate whether adults and adolescents with ADHD differ from individuals without ADHD on 10 digital signals that we hypothesize capture lapses in attention, restlessness, or impulsive behaviors. …”
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Spatial Distribution of Tsetse Flies and Trypanosome Infection Status in a Vector Genetic Transition Zone in Northern Uganda by Robert Opiro, Okello Allele Moses, Robert Opoke, Francis A. Oloya, Esther Nakafu, Teresa Iwiru, Richard Echodu, Geoffrey M. Malinga, Joel L. Bargul, Elizabeth A. Opiyo

“…Materials and Methods. Capturing of tsetse flies was done using biconical traps deployed in eight villages in Oyam and Otuke, two districts that fall within the vector genetic transition zone in northern Uganda. …”
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Urban vegetation and well‐being: A cross‐sectional study in Montreal, Canada by Rita Sousa‐Silva, Yan Kestens, Zoé Poirier Stephens, Benoit Thierry, Daniel Schoenig, Daniel Fuller, Meghan Winters, Audrey Smargiassi

“…However, most research has used vegetation metrics that may not capture the specific associations between different types of vegetation and different mental health outcomes. …”
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Exploring the Effect of Sampling Frequency on Real-World Mobility, Sedentary Behaviour, Physical Activity and Sleep Outcomes Measured with Wearable Devices in Rheumatoid Arthritis:... by Javad Sarvestan, Kenneth F. Baker, Silvia Del Din

“…Accelerometry offers a novel method for continuous remote monitoring of RA activity by capturing fluctuations in mobility, sedentary behaviours, physical activity and sleep patterns over prolonged periods without the expense, inconvenience and environmental impact of extra hospital visits. …”
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A QUALITATIVE ANALYSIS OF THE INFLUENCE OF MANAGEMENT INFORMATION SYSTEMS ON ORGANIZATIONAL DECISION-MAKING PROCESSES by Mubashshir Bin Mahbub, Mushfiq Nabil, Taskin Ahmed

“…Through a series of in-depth semi-structured interviews with key decision-makers across diverse sectors—such as technology, healthcare, retail, construction, and consulting—this study captures the nuanced perceptions and experiences of professionals who rely on MIS to navigate complex decision-making environments. …”
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Improving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning by Francis Loignon-Houle, Nicolaus Kratochwil, Maxime Toussaint, Carsten Lowis, Gerard Ariño-Estrada, Antonio J. Gonzalez, Etiennette Auffray, Roger Lecomte

“…Conclusions The higher complexity of waveform digitization needed for CNNs could potentially be mitigated by adopting a simpler two-threshold approach, which appears to currently capture most of the essential information for improving CTR in longer BGO crystals. …”
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