Soft actor-critic algorithm and improved GNN model in secure access control of disaggregated optical networks by Zhenqian Zhao, Yuhe Wang

“…The dataset encompasses 12 attack scenarios, 57,000 dynamic topology sequences, and 2.8 million cross-domain authentication events. …”
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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

“…In the current study, the patients’ subtracted image sequences were characterized using three movement feature values: mean, variance, and Shannon entropy value. …”
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Mendelian randomization analysis of inflammatory biomarkers and hepatocellular carcinoma risk: genetic causality and single-cell transcriptomics by GuangXin Shao, Xiao Yun, Hongyue Xie, Beicheng Sun

“…Methods We conducted comprehensive MR analyses using multiple statistical approaches including MR Egger, weighted median, inverse variance weighted, weighted mode, and simple mode methods to evaluate causal relationships between inflammatory biomarkers and HCC risk. …”
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Lake Baikal amphipods and their genomes, great and small by P. B. Drozdova, E. V. Madyarova, A. N. Gurkov, A. E. Saranchina, E. V. Romanova, J. V. Petunina, T. E. Peretolchina, D. Y. Sherbakov, M. A. Timofeyev

“…Moreover, analysis of the diversity of repeated sequences in nuclear genomes showed significant between­species differences.  …”
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The impact of the Change4Life Food Scanner app on children’s diets and parental psychological outcomes: a randomised pilot and feasibility study by Sundus Mahdi, Jim Chilcott, Nicola J. Buckland

“…Mixed model Analysis of Variance and independent t-tests of mean differences assessed changes in dietary intake. …”
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Immune-Mediated Bidirectional Causality Between Inflammatory Bowel Disease and Chronic Periodontitis: Evidence from Mendelian Randomization and Integrative Bioinformatics Analysis by Zhijun Feng, Zihan Chen, Xiaoxu Wang, Meijuan Zhou, Shupeng Liu

“…The causal relationships were primarily evaluated using inverse variance weighting (IVW), complemented by multiple sensitivity analyses to assess the robustness of the findings. …”
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Mapping heat tolerance QTLs in Triticum durum-Aegilops speltoides backcross introgression lines to enhance thermotolerance in wheat by Navaneetha Krishnan J., Satinder Kaur, Uttam Kumar, Uttam Kumar, Rohtas Singh, Guriqbal Singh Dhillon, Pradeep Kumar Bhati, Parveen Chhuneja

“…Data on spike length, spikelet number per spike, peduncle length, thousand-grain weight, grains per spike, days to heading, days to maturity, grain filling duration, NDVI at heading, plant height and plot yield were recorded. Genotyping-by-sequencing (GBS) of the BILs was carried out, and 2945 high-quality, polymorphic SNPs were obtained. …”
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Genetic Mapping of QTL Associated with 100-Kernel Weight Using a DH Population in Maize by Huawei Li, Hao Li, Jian Chen, Xiangbo Zhang, Baobao Wang, Shujun Zhi, Haiying Guan, Weibin Song, Jinsheng Lai, Haiming Zhao, Rixin Gao

“…The phenotypes of the DH population were acquired over three years in two different locations, while the DH lines were genotyped by next-generation sequencing technology of massively parallel 3ʹ end RNA sequencing (MP3RNA-seq). …”
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Patterns of Magnetic Resonance Imaging and Early Detection via Diffusion-weighted Imaging of Neonatal Hypoxic Brain Injury: A Cross-sectional Study by G Selva Kumar, Pronami Borah, Aukifa Khamim Sabibahul Islam, Shruti Kashyap

“…The MRI protocol comprised T2-weighted (axial and coronal), T1-weighted (axial), T2 Fluild Attenuated Inversion Recovery (FLAIR) (axial), DWI (axial), Apparent Diffusion Coefficient (ADC) map, and Gradient eco sequences (GRE) (axial). The Analysis of Variance (ANOVA) test or Student’s t-test was used for the association tests for continuous variables, with a p-value <0.05 considered statistically significant. …”
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Exploring genetic causal relationships between spinal cord injury and glioma: a Mendelian randomization study by Guangbiao Li, Jingquan Li, Chaoen Hua, Dachuan Pan, Yonghong Li, Huafang Hu, Gang Wu

“…We applied three MR statistical approaches: MR Egger regression, Inverse Variance Weighted (IVW), and Weighted mode. Additionally, we analyzed gene expression patterns using RNA-sequencing data from TCGA and GEO databases, performed machine learning-based risk stratification, and validated our findings using single-cell RNA sequencing data from glioma patient tissues (GSE131928). …”
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Exploring the relationship between ultra-processed food consumption and gut microbiota at school age in a Brazilian birth cohort by Etiene Dias Alves, Marina Xavier Carpena, Aluísio J. D. Barros, Elena M. Comelli, Lorena López-Domínguez, Robert H. J. Bandsma, Iná da Silva dos Santos, Alicia Matijasevich, Juliana dos Santos Vaz, Romina Buffarini, Isabel Oliveira Bierhals, Maria Carolina Borges, Luciana Tovo-Rodrigues

“…Microbiota data was obtained at age 12 after 16S rRNA gene sequencing of self-collected fecal samples. Linear or logistic regression models evaluated the relationship between age groups and gut microbiota outcomes (alpha diversity, beta diversity and relative abundances at the phylum and genus levels), considering dietary covariates and demographic, socioeconomic, health-related, and behavioral factors. …”
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Deciphering the molecular signatures of tropical Areca catechu L. under cold stress: an integrated physiological and transcriptomic analysis by Han Li, Linbi Zhang, Xinyu Wen, Changlei Ji, Hui Chen, Meng Tian, Fusun Yang, Jun He, Jun He

“…However, A. catechu is a tropical plant that is particularly susceptible to low temperatures.MethodsThis study integrates physiological profiling with transcriptomic sequencing to systematically investigate the cold-response mechanisms of A. catechu.ResultsMultivariate variance analysis revealed that peroxidase (POD) activity and chlorophyll content are significant biomarkers strongly correlated with cold tolerance. …”
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Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens by Lizhi Tan, Xinyu Cai, Yuan Kong, Zexuan Liu, Zilong Wen, Lina Bu, Yuzhan Wang, Xiaojun Liu, Zhiwu Zhang, Jianlin Han, Dandan Wang, Yiqiang Zhao

“…Results Using whole-genome sequencing data, we perform comprehensive genome-wide association study for 39 traits that focus on egg production efficiency and stability in the Gushi chicken. …”
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Non-small cell lung cancer patients treated with Anti-PD1 immunotherapy show distinct microbial signatures and metabolic pathways according to progression-free survival and PD-L1 s... by David Dora, Balazs Ligeti, Tamas Kovacs, Peter Revisnyei, Gabriella Galffy, Edit Dulka, Dániel Krizsán, Regina Kalcsevszki, Zsolt Megyesfalvi, Balazs Dome, Glen J. Weiss, Zoltan Lohinai

“…Due to the high variance in response rates concerning anti-PD1 immunotherapy (IT), there is an unmet need to discover innovative biomarkers to predict immune checkpoint inhibitor (ICI)-efficacy. …”
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Complementary MR measures of white matter and their relation to cardiovascular health and cognition by Petar P. Raykov, Marta Correia, Kamen Tsvetanov, Rafael N. Henriques, Alberto Del Cerro-León, Matthew Bracher-Smith, Valentina Escott-Price, Yordan P. Raykov, Richard N. Henson

“…Magnetic Resonance Imaging (MRI) offers multiple complementary sequences to non-invasively estimate these properties in vivo. …”
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Genome Selection and Genome-Wide Association Analyses for Litter Size Traits in Large White Pigs by Yifeng Hong, Xiaoyan He, Dan Wu, Jian Ye, Yuxing Zhang, Zhenfang Wu, Cheng Tan

“…Six genomic windows explaining 1.07–1.77% of genetic variance were identified via ssGWAS, highlighting <i>GPR12</i> on SSC11 as a key candidate gene linked to oocyte development. (4) Conclusions: This study demonstrates the efficacy of ssGBLUP for low-heritability traits and identifies GPR12 as a pivotal gene for litter size. …”
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Genome‐wide association studies on resistance to powdery mildew in cultivated emmer wheat by Dhondup Lhamo, Genqiao Li, George Song, Xuehui Li, Taner Z. Sen, Yong‐Qiang Gu, Xiangyang Xu, Steven S. Xu

“…To determine the genetic basis of Bgt resistance in the panel, genome‐wide association studies were performed using 46,383 single nucleotide polymorphisms (SNPs) from genotype‐by‐sequencing and 4331 SNPs from the 9K SNP Infinium array. …”
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Cathepsin H increases the risk of diabetic retinopathy: evidence from Mendelian randomization and bioinformatic analysis by Xiudao Song, Jin Ma, Ting Zou, Rong Xin Lu, Wei Ji, Fei Huang, Meiqi Yin

“…Bioinformatic analyses revealed upregulated Cathepsin H expression in DR patients, enriched in immune-inflammatory pathways. Single-cell RNA sequencing further highlighted its specific overexpression in NK cells of DR. …”
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Life-course socioeconomic position and the gut microbiome in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) by Monica A. Batalha, Madison N. LeCroy, Juan Lin, Brandilyn A. Peters, Qibin Qi, Zheng Wang, Tao Wang, Linda C. Gallo, Gregory A. Talavera, Amanda C. McClain, Bharat Thyagarajan, Martha L. Daviglus, Lifang Hou, Maria Llabre, Jianwen Cai, Robert C. Kaplan, Carmen R. Isasi

“…Parental education and current SEP were associated with the overall gut microbiome composition; however, parental education and current education explained more the gut microbiome variance than the current SEP. A lower parental education and current SEP were associated with a lower abundance of species from genus Bacteroides. …”
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Mapping QTLs Affecting Economic Traits on BTA3 in Chinese Holstein with Microsatellite Markers by Chun-hua QIN, Qin CHU, Gui-yan CHU, Yi ZHANG, Qin ZHANG, Sheng-li ZHANG, Dong-xiao SUN

“…A total of 1 298 Holstein cows and 7 sires were genotyped for 16 microsatellites with ABI 3700 DNA sequencer. The variance components QTL linkage analysis (LA) and linkage-disequilibrium (LD) analysis (LA/LD) was performed to map QTLs for 7 traits, i.e., 305-d milk yield, fat yield, protein yield, fat percentage, protein percentage, somatic cell score and persistency of milk yield. …”
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