Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…Mosaic is an ancient type of art used to create decorative images or patterns combining small components. A digital version of a mosaic can be useful for archaeologists, scholars and restorers who are interested in studying, comparing and preserving mosaics. …”
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Plasma cytokine and chemokine levels during natural outbreaks of bovine respiratory disease in young bulls on feedlots by Maud Rouault, Sébastien Assié, Blandine Gausserès, François Meurens, Gilles Foucras

“…Cluster analysis revealed three subgroups with distinct cytokine patterns and health outcomes, in association with preconditioning variables, highlighting the critical role of these interventions in shaping the immune response during BRD outbreaks. …”
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Contribution of icaADBC genes in biofilm production ability of Staphylococcus aureus clinical isolates collected from hospitalized patients at a burn center in North of Iran by Mostafa Alibegli, Aliakbar bay, Amirabbas Fazelnejad, Pouria Nourmohammadi Ghezelghaye, Hossein Jafari Soghondikolaei, Hamid Reza Goli

“…High prevalence of icaADBC genes as well as highlighted capacity of the biofilm formation in MRSA and MDR strains exhibited a potential correlation between biofilm and antibiotic resistance patterns. Given the enhanced resilience of bacteria within biofilms against antibiotics, addressing biofilm production is imperative alongside antibiotic treatments for effective control and eradication of infections.…”
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Objective approach to diagnosing attention deficit hyperactivity disorder by using pixel subtraction and machine learning classification of outpatient consultation videos by Yi-Hung Chiu, Ying-Han Lee, San-Yuan Wang, Chen-Sen Ouyang, Rong-Ching Wu, Rei-Cheng Yang, Lung-Chang Lin

“…ADHD is typically characterized by persistent patterns of inattention or hyperactivity–impulsivity, and it is diagnosed on the basis of the criteria outlined in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, through subjective observations and information provided by parents and teachers. …”
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Mycorrhizal and endophytic fungi structure forest below-ground symbiosis through contrasting but interdependent assembly processes by Mikihito Noguchi, Hirokazu Toju

“…When fine-root distributions were examined, ectomycorrhizal fungi tended to show stronger associations with background soil community structure and spatially autocorrelated patterns than other fungal guilds. In contrast, the distributions of root-endophytic fungi were inferred to depend greatly on fungus–fungus interactions. …”
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Public health concern of antimicrobial resistance and virulence determinants in E. coli isolates from oysters in Egypt by Rahma Mohammed, Sara M. Nader, Dalia A. Hamza, Maha A. Sabry

“…Four E. coli isolates exhibit cluster patterns. This study provides the first insight into the emergence of virulent MDR E. coli among oysters in Egypt. …”
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CARDIAC MAGNETIC RESONANCE IMAGING AND POSITRON EMISSION TOMOGRAPHY IN THE PREDICTION OF LEFT VENTRICULAR DYSFUNCTION REVERSIBILITY IN PATIENTS WITH CHRONIC TOTALLY OCCLUDED CORONA... by D. V. Ryzhkova, I. S. Kostina

“…The minimal cut-off value of >56,4% for the 18F-FDG uptake and the patterns of perfusion-metabolism match/ mismatch provided sensitivity of 81,1% vs. 91%, specificity of 67,5% vs. 65,5%, and accuracy of 75,2% vs. 83,3%, respectively.Conclusion. …”
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The untapped potential of camera traps for farmland biodiversity monitoring: current practice and outstanding agroecological questions by Stephanie Roilo, Tim R. Hofmeester, Magali Frauendorf, Anna Widén, Anna F. Cord

“…Fewer studies employed landscape‐wide approaches to investigate species' habitat use or activity patterns over large agricultural areas. We discuss existing barriers to a more widespread use of CTs in farmland and suggest strategies to overcome them: boxed CTs tailored for small mammals, reptiles and amphibians, perch‐mounted CTs for raptor monitoring and time‐lapse imagery can help in overcoming the technical challenges of monitoring (small) elusive species in open habitats where misfires and missed detections are more frequent. …”
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Using Text Messaging Ecological Momentary Assessment to Record Changes in e-Cigarette and Combustible Cigarette Use: Pilot Randomized Clinical Trial by Tucker Morgan, Michelle He, Andrew Nicholson, Omar El Shahawy, Scott E Sherman, Elizabeth R Stevens

“…Though results from mixed effect modeling and RR comparisons were similar using EMA or survey data, EMA provides unique advantages, namely greater granularity in the time and the capability to detect switching patterns in near real time. These findings provide the feasibility of using EMA in developing smoking cessation interventions in future tobacco harm reduction research.…”
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Mapping and visualizing the global research landscapes on drinking water and cancer by Shaher Zyoud, Sa’ed H. Zyoud

“…The data analysis included bibliometric indicators such as the analysis of citation patterns, publication trends, and the identification of the most productive countries and institutions in this field. …”
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Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis by Helen Coupland, Neil Scheidwasser, Alexandros Katsiferis, Megan Davies, Seth Flaxman, Naja Hulvej Rod, Swapnil Mishra, Samir Bhatt, H. Juliette T. Unwin

“…However, significant gaps remain in understanding their utility and limitations, especially for sparse longitudinal life course data and how the influential patterns identified using explainability are linked to underlying causal mechanisms. …”
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How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data by Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati

“…Leveraging extensive computational resources, Machine Learning and Artificial Intelligence are increasingly utilized to address health-related issues, such as predicting outcomes from Electronic Health Records and detecting patterns in multi-omics data. Despite the proliferation of medical devices based on Artificial Intelligence, data accessibility for research is limited due to privacy concerns. …”
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CGRclust: Chaos Game Representation for twin contrastive clustering of unlabelled DNA sequences by Fatemeh Alipour, Kathleen A. Hill, Lila Kari

“…CGRclust overcomes the limitations of traditional sequence classification methods by leveraging unsupervised twin contrastive learning to detect distinctive sequence patterns, without requiring DNA sequence alignment or biological/taxonomic labels. …”
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Modelling and Using Spatial Effects in Nationwide Historical Data Improve Genomic Prediction of Rice Heading Date in Japan by Shoji Taniguchi, Takeshi Hayashi, Hiroshi Nakagawa, Kei Matsushita, Hiromi Kajiya-Kanegae, Jun-Ichi Yonemaru, Akitoshi Goto

“…The spatial effects were heterogeneous and regional patterns were detected. These findings imply that spatial effects are important not only for improving prediction performance but also for dissecting the model itself to identify the factors contributing to model improvement.…”
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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

“…For two of those pipelines, Common Spatial Patterns (CSP) and Short Time Fourier Transform (STFT) were successfully used as feature extraction algorithms where both these algorithms are significantly new for meditation EEG. …”
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SMARCA4-deficient non-small cell lung cancer with metastasis to the sigmoid colon: a case report by Rong Xiao, Guang Fu, Xinglan Li, Tao Lu

“…This case underscores the significance of recognizing rare metastatic patterns in SMARCA4-dNSCLC, enriching the literature on its diverse manifestations and providing a critical reference for clinicians in diagnosing and managing SMARCA4-dNSCLC with sigmoid colon metastasis.…”
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RNAcare: integrating clinical data with transcriptomic evidence using rheumatoid arthritis as a case study by Mingcan Tang, William Haese-Hill, Fraser Morton, Carl Goodyear, Duncan Porter, Stefan Siebert, Thomas D. Otto

“…This enables researchers to directly integrate gene expression data with clinical features, perform exploratory data analysis, and identify patterns among patients with similar diseases. By enabling users to integrate transcriptomic and clinical data, and customise the target label, the platform facilitates the analysis of the relationships between gene expression and clinical symptoms like pain and fatigue. …”
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Daily rhythms of glucose, insulin, and nonesterified fatty acid responses to an intravenous glucose tolerance test in dairy cows by Anay D. Ravelo, Cesar Matamoros, Kevin J. Harvatine, Isaac J. Salfer

“…Our objective was to determine the fit of a daily rhythm of glucose, insulin, and nonesterified fatty acid (NEFA) clearance rates independent of daily patterns of nutrient intake. To accomplish our objective, 12 multiparous lactating Holstein cows were enrolled in a within-subject design conducted over 2 experimental periods (n = 6/period). …”
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The prevalence of electrocardiographic abnormalities in the Russian population in the early 21st century (the ESSE-RF study) by G. A. Muromtseva, V. G. Vilkov, V. V. Konstantinov, A. D. Deev, E. V. Oshchepkova, O. P. Rotar, S. A. Shalnova

“…The results confirm the patterns identified earlier. There is a steady association of ECG data with socio-demographic characteristics.…”
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AUTOMATED TECHNOLOGY OF MEASUREMENT OF PHYSIOLOGICAL PARAMETERS OF FARM ANIMALS by Victor Shigimaga, Natalia Kosulina, Mariya Chorna, Vitaly Sukhin, Stanislav Kosulin, Kostiantyn Korshunov, Yaroslav Yevsyukov

“…These technologies enable real-time tracking of animal health parameters such as body temperature, heart rate, movement patterns, and other critical indicators. The use of various sensors, including ear, neck, and intra-body sensors, plays a crucial role in collecting primary physiological data. …”
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