Copy number variations in the Brazilian High-Risk Cohort for Mental Conditions by Júlia Arendt, Malú Zamariolli, Liriel Almodobar, Lucas Toshio Ito, Rafaella Ormond, Adrielle M. Oliveira, Vanessa Kiyomi Ota, Luis Augusto Rohde, Euripedes Constantino Miguel, Pedro Mario Pan, Rodrigo Affonseca Bressan, Giovanni Salum, Sintia Belangero, Marcos Leite Santoro

“… Objective: This study’s purpose was to characterize copy number variations in a Brazilian cohort regarding frequency and inheritance patterns and to determine the effect of copy number variations previously associated with mental health disorders on the risk of developing these disorders. …”
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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

“…By exploring the application of machine learning (ML) and deep learning (DL) techniques, such as random forests (RFs), convolutional neural networks (CNNs), and artificial neural networks (ANNs), this review highlights AI’s ability to analyze complex datasets, detect patterns, and generate predictive insights that enhance injury prevention strategies. …”
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Investigation of Spectroscopic Parameters and Trap Parameters of Eu³⁺-Activated Y₂SiO₅ Phosphors for Display and Dosimetry Applications by Neeraj Verma, Marta Michalska-Domańska, Vikas Dubey, Tirath Ram, Jagjeet Kaur, Neha Dubey, Shireen Aman, Ovica Manners, Janita Saji

“…Photoluminescence emission and excitation patterns were measured using varying concentrations of Eu³⁺ ions. …”
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The aftermath of trauma on resting state source-level MEG microstate dynamics by Massimo Bertoli, Pierpaolo Croce, Filippo Zappasodi, Rosalia Di Matteo, Federica Vellante, Mauro Pettorruso, Giovanni Martinotti, Marcella Brunetti

“…Resilience may arise from successful integration of cognitive and sensorimotor processes, detectable as distinct patterns of brain dynamics during rest.…”
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Indoor positioning systems provide insight into emergency department systems enabling proposal of designs to improve workflow by Marius Huguet, Canan Pehlivan, François Ballereau, Antoine Dodane-Loyenet, Franck Fontanili, Thierry Garaix, Youri Yordanov, Vincent Augusto, Karim Tazarourte, Abdesslam Redjaline

“…We analyzed a substantial amount of quasi-real-time data to objectively assess physicians’ time allocation and movement patterns and their correlation with the emergency department’s occupancy. …”
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Developmental stages of the Pekin duck (Anas platyrhynchos f. domestica) and the Mulard duck in artificial incubation by Magdalena Trela, Weronika Sołtysik, Kamil Kustra, Aleksandra Januszewska, Marcin W. Lis

“…Moreover, both breeds of ducks are characterized by the different patterns of the timeline of embryo mortality. For this reason, the incubation program needs to be targeted individually for each with these breeds.…”
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Grape Endophytic Microbial Community Structures and Berry Volatile Components Response to the Variation of Vineyard Sites by Ruihua Ren, Maoyu Zeng, Yunqi Liu, Jingjing Shi, Zhuowu Wan, Miaomiao Wang, Shibo Zhang, Zhenwen Zhang, Qingqing Zeng

“…Additionally, a total of 616 bacterial genera and 254 fungal genera were detected in all samples from both regions. The results demonstrated that vineyard sites significantly shaped the characteristics of berry volatiles and microbial biogeographic patterns. …”
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Evolution of Stratigraphic Sequence and Sedimentary Environment in Northern Yellow River Delta Since MIS5 by Haonan Li, Guangxue Li, Jian Zhang, Jiejun Yang, Lvyang Xing, Wenyu Ji, Siyu Liu

“…Integration of AMS ¹⁴C dating and sequence stratigraphic analysis establishes a post-MIS 5 stratigraphic framework for the northern Yellow River Delta, revealing sedimentary responses to three transgressive–regressive cycles (MIS 5e, 5c, and 5a) and confirming widespread terrestrial deposition during MIS 4–2, with no detectable marine influence in MIS 3 strata. Furthermore, correlation with representative cores across the Yellow–Bohai Sea coastal system elucidates a unified model of shoreline migration patterns driven by post-MIS5 sea-level oscillations. …”
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Five-year period evaluation of isolated agents and their resistance profiles in intensive care unit patients with malignancy by Duygu Mert, Selda Muslu, Alparslan Merdin, Arif Timuroğlu, Ece Dirim, Süheyla Ünver, Mustafa Ertek

“…Knowing the microorganisms that grow in ICUs and their antibiotic resistance patterns may help to prevent contamination of resistant microorganisms by both appropriate empirical antibiotic treatment and more isolation as well as general hygiene standard precautions. …”
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Noisy neuronal populations effectively encode sound localization in the dorsal inferior colliculus of awake mice by Juan Carlos Boffi, Brice Bathellier, Hiroki Asari, Robert Prevedel

“…Nevertheless, decoding analysis supported that these noisy response patterns encode sound location on the single-trial basis, reaching errors that match the discrimination ability of mice. …”
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Landscape analysis of m6A modification regulators reveals LRPPRC as a key modulator in tubule cells for DKD: a multi-omics study by Li Jiang, Hongda Yu, Jie Jian, Xulin Sai, Yudian Wang, Yufei Zhang, Xiai Wu

“…The significance of N6-methyladenosine (m6A) modification in the pathogenesis of DKD has become increasingly prominent.AimThis study aimed to investigate the specific expression patterns of the m6A geneset in the pathogenesis of DKD.MethodBulk RNA, single-cell and spatial transcriptome were utilized to clarify the hub gene. 3 types of machine learning algorithms were applied. …”
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Population Genetic Structure of Three‐Spined Sticklebacks in the St. Lawrence: A Gradient of Change by Sann Delaive, Florent Sylvestre, Amanda Xuereb, Laurie Lecomte, Brian Boyle, Christian Otis, Louis Bernatchez, Nicolas Derome

“…By integrating single nucleotide polymorphisms (SNPs) and structural variants (SVs), we assessed differentiation patterns, examined clinal variation, and evaluated the relative roles of gene flow and selection in shaping population dynamics. …”
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Antimicrobial profile of non-typhoidal Salmonella isolated from raw sewage in the Metropolitan Region of São Paulo, Brazil by Solange Martone-Rocha, Milena Dropa, Beatriz Moreira Calixto da Cruz, Débora Belisário Mendes Oliveira Leite, Talita Pereira dos Santos, Maria Tereza Pepe Razzolini

“…The AMR-encoding genes detected were qnrB, oqxAB, blaCTX-M and rmtA. Conclusions: Raw sewage has been considered a valuable tool to evaluate epidemiological population patterns and this study supports the view that NTS with pathogenic potential and resistance to antimicrobials are circulating in the studied region. …”
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Relationship Between Leaf C/N Ratio and Insecticidal Protein Expression in Bt Cotton as Affected by High Temperature and N Rate by Xiang ZHANG, Chun-hua LÜ, Yuan CHEN, Gui-xia WANG, Yuan CHEN, De-hua CHEN

“…The results showed that the C/N ratio enhanced slightly and the Bt protein content remained stable at peak square period, but significant increases for the C/N ratio and decreases markedly for the leaf Bt protein concentration were detected at the peak boll period. The similar patterns at the two growth periods were found for the leaf C/N ratio and Bt protein content by different N fertilizer treatments. …”
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Revealing the role of U2AF1 in splicing regulation and chimeric RNA dynamics by Sangeen Khan, Yue Tang, Yangyang Guo, Jing Feng, Hui Wu, Zhenguo Song, Chengjuan Zhang, Fujun Qin

“…Employing knockdown and overexpression strategies in leukemia and esophageal cancer cell lines, we conducted paired-end RNA sequencing following U2AF1 knockdown to assess transcriptomic alterations and their influence on alternative splicing patterns. Subsequently, we utilized the SOAPfuse algorithm to detect and characterize chimeric RNAs from the paired-end RNA sequencing data. …”
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Inter-seizure variability in thalamic recruitment and its implications for precision thalamic neuromodulation by Pariya Salami, Angelique C. Paulk, Daniel J. Soper, Pierre Bourdillon, Peter N. Hadar, Omar A. Alamoudi, Nathaniel D. Sisterson, R. Mark Richardson, Sandipan Pati, Sydney S. Cash

“…Results We show that seizures with <2 Hz synchronized-spiking patterns do not spread early to the thalamus, while seizures starting with faster activity (<20 Hz) spread early to all thalamic areas. …”
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Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators From High-Resolution Orthographic Imagery and Hybrid Learning by Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, Joao Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Claudio Silva

“…Concurrent with improved sensor resolutions, recent advancements in machine learning and computer vision have made it possible to quickly extract features from and detect patterns in image data, in the process correlating these features with other information. …”
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Expression of toll-like receptors and inflammatory mediators in primary human glioma cells (low- and high-grade) compared to primary cells from epileptic human brain by Negin Masoomabadi, Safieh Ebrahimi, Farshid Noorbakhsh, Alireza Tabibkhooei, Gisou Mohaddes, Saeed Sadigh-Eteghad, Maryam Khaleghi Ghadiri, Tahereh Ghadiri, Ali Gorji

“…Conclusion: Our results revealed distinct patterns of TLR expression between low- and high-grade gliomas, underscoring the potential involvement of TLRs in the cellular heterogeneity of gliomas.…”
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Time Course of Plasma Proteomic and Oxylipin Changes Induced by LPS Challenge and Modulated by Antioxidant Supplementation in a Randomized Controlled Trial by Gerhard Hagn, Andrea Bileck, Thomas Mohr, Doreen Schmidl, David M. Baron, Bernd Jilma, Leopold Schmetterer, Gerhard Garhöfer, Christopher Gerner

“…Systemic molecular responses to pathogen-associated molecular patterns and their modulation by antioxidants are poorly understood in humans. …”
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CKD patients comorbid with hypertension are associated with imbalanced gut microbiome by Pan Wang, Yang Shen, Kaixin Yan, Siyuan Wang, Jie Jiao, Hongjie Chi, Jiuchang Zhong, Qianmei Sun, Ying Dong, Jing Li

“…Based on the variation patterns, we identified six distinct clusters. Klebsiella, Turicibacter, and Enterobacter were enriched in CKD, whereas Escherichia and Mogibacterium were elevated, and Blautia and Clostridium were reduced in CKD_HTN. …”
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