Inference of population splits and mixtures from genome-wide allele frequency data. by Joseph K Pickrell, Jonathan K Pritchard

“…In this paper, we present a statistical model for inferring the patterns of population splits and mixtures in multiple populations. …”
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Integrating Machine Learning and IoT for Effective Plant Disease Management by Bhoi Manjulata, Dubey Ahilya

“…ML algorithms at the advanced level such as convolutional neural networks (CNNs) and decision trees are used to find patterns in the data which signal the presence of possible diseases in the plant. …”
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Rare and common regulatory variation in population-scale sequenced human genomes. by Stephen B Montgomery, Tuuli Lappalainen, Maria Gutierrez-Arcelus, Emmanouil T Dermitzakis

“…Here, we investigate the influence of rare and common genetic variants on gene expression patterns, using variants identified from sequencing data from the 1000 genomes project in an African and European population sample and gene expression data from lymphoblastoid cell lines. …”
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Evaluating the Activity of Ultrasound on Biofilm Formation by Acinetobacter baumannii isolated from clinical Specimens by Shymaa Ali, Halah H. Al-Haideri, Amna M. Al Hishimi

“…A total of 100 samples were taken from different sources from Baghdad hospitals. The susceptibility patterns revealed the percentage of pan drug resistant (PDR) isolates were 1.5 %, 72.7 % were extended drug resistant (XDR), 16.7 % were multidrug resistant (MDR), and 9.1 % were non MDR and sensitive to most antibiotics used. …”
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A pharmacovigilance study of the association between linaclotide/plecanatide and muscle spasms based on food and drug administration adverse event reporting system by Xue Fan, Yuan Li, Xiangchun Lin

“…Disproportionality analyses, including reporting odds ratio and information component, were employed to detect safety signals. Temporal patterns were assessed using Weibull distribution analysis.ResultsA total of 231 muscle spasms cases were identified (linaclotide: 182; plecanatide: 49). …”
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Italian Validation of the Social Media Engagement Questionnaire (SME-Q): A Preregistered Study by Mirko Duradoni, Federico Innocenti, Alan D. A. Mattiassi, Andrea Guazzini

“…Scholars worldwide have attempted to investigate patterns in social media use, with several attempts to frame it as a problematic behavior linked to negative consequences. …”
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Use of artificial intelligence to increase the efficiency of the management accounting system by G.I., O.V.

“…Data analysis technology allows you to discover new patterns of relationships between data and provide useful conclusions to decision-makers in companies. …”
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Trans-epochal variations in body length in different regions of Europe from the Upper Paleolithic to Middle Ages (from paleoanthropological data) by Kuznetsova O.A.

“…The aim was to identify patterns of height variability in Europe over time, both in general and in individual regions, especially in the early periods. …”
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Primary human mDC1, mDC2, and pDC dendritic cells are differentially infected and activated by respiratory syncytial virus. by Teresa R Johnson, Christina N Johnson, Kizzmekia S Corbett, Gretchen C Edwards, Barney S Graham

“…There is evidence that attachment and entry/replication processes exert distinct effects on DC activation. Cell-specific patterns of RSV-induced maturation and cytokine production were detected in mDC1, mDC2, and pDC. …”
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Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

“…Temporal features were identified as crucial for detecting recurring behavioral trends and periodic exercise patterns.DiscussionThese findings demonstrate the efficacy of integrating multimodal life log data with deep learning for accurate physical activity classification. …”
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Analysis of plant metabolomics data using identification‐free approaches by Xinyu Yuan, Nathaniel S. S. Smith, Gaurav D. Moghe

“…We further focus on alternative strategies that bypass the need for metabolite identification, allowing researchers to interpret global metabolic patterns and pinpoint key metabolite signals. These methods include molecular networking, distance‐based approaches, information theory–based metrics, and discriminant analysis. …”
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Predictive Archaeological Risk Assessment at Reservoirs with Multitemporal LiDAR and Machine Learning (XGBoost): The Case of Valdecañas Reservoir (Spain) by Enrique Cerrillo-Cuenca, Primitiva Bueno-Ramírez

“…The model trained with 2018–2023 data exhibited the highest predictive performance (R² = 0.685), suggesting that sedimentary and erosional patterns are partially predictable. Finally, a multicriteria approach was applied using a DEM generated from 1957 aerial photographs to estimate past variations based on historical terrain conditions. …”
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Devicology: Expanding fieldwork possibilities for architectural observations in inhabited interiors by Tatiana Knoroz

“…Beginning as an examination of behaviour patterns in a single apartment, Devicology has the potential to become a study of the collective unconsciousness of different people stuck in the same conditions with the same set of rules.…”
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Application of Machine Learning Models in Social Sciences: Managing Nonlinear Relationships by Theodoros Kyriazos, Mary Poga

“…Machine learning models, including decision trees, neural networks, random forests, and support vector machines, provide a flexible framework for capturing these intricate patterns. The chapter begins by examining the limitations of linear models and introduces essential machine learning techniques suited for nonlinear modeling. …”
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Ophthalmic hypertension in patients after vitreoretinal surgery with various tamponades of the vitreal cavity by S. N. Akulov, E. V. Kabardina, N. S. Bronnikova

“…Intraocular pressure compensation follows different patterns in every case, so that an individual approach is needed. …”
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Machine Learning Classification of 3D Intracellular Trafficking Using Custom and Imaris-Derived Motion Features by Oleg Kovtun

“…<b>Results:</b> The machine learning classifier demonstrated a classification accuracy of over 90% on synthetic datasets, effectively capturing and distinguishing complex diffusion patterns. Subsequent validation using an experimental dataset confirmed the robustness of the approach. …”
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Treatment-related mutagenic processes in acute lymphoblastic leukemia by Cédric G. van der Ham, Frank N. van Leeuwen, Roland P. Kuiper

“…In the past years, another layer of genetic data has been added by the study of mutational signatures, patterns of somatic mutations that represent specific mutational mechanisms. …”
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Sensitive and precise quantification of insulin-like mRNA expression in Caenorhabditis elegans. by L Ryan Baugh, Nicole Kurhanewicz, Paul W Sternberg

“…We used deletion mutants to demonstrate specificity of the assay, and we used optimized conditions to assay insulin-like gene expression throughout the C. elegans life cycle. We detected expression for nearly all insulin-like genes and find that they are expressed in a variety of distinct patterns suggesting complexity of regulation and specificity of function. …”
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Assessment of Postural Control and Proprioception Using the Delos Postural Proprioceptive System by Roberto Tedeschi

“…The DPPS utilises advanced sensor technology and computerised analysis to measure various parameters related to postural control, including stability indexes, weight distribution, sway patterns, and proprioceptive responses. It incorporates both static and dynamic tests, allowing for a comprehensive assessment of postural control in different conditions. …”
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The Belvedere Glacier elevation change between 1951 and 2023 by Lukáš Brodský, Shruti Pancholi, Susanne Schmidt, Marcus Nüsser, Roberto Sergio Azzoni, Gianluca Tronti

“…High-resolution digital surface models from 1951, 2009 and 2023 enabled detailed observation of the spatially heterogeneous patterns of change caused by debris cover, avalanches, a surge-type event, supraglacial meltwater, and glacial lake outburst floods in the context of global warming. …”
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