Implicit Measurement of Sweetness Intensity and Affective Value Based on fNIRS by Jiayu Mai, Siying Li, Zhenbo Wei, Yi Sun

“…Thirty-two participants tasted sucrose solutions at concentrations of 0.15 M, 0.3 M, and 0.6 M, while both their neural responses were recorded with a 24-channel fNIRS system and their self-reported assessments of sweetness intensity and affective value were collected. The neural fNIRS data were converted into oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (HbR) concentrations using the modified Beer–Lambert Law, and analyzed through univariate activation analysis and multivariable decoding analysis to identify neural activation patterns associated with sweetness perception. …”
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A Model of Basement Membrane-Associated Gene Signature Predicts Liver Hepatocellular Carcinoma Response to Immune Checkpoint Inhibitors by Jiajia Shen, Zhihong Wei, Lizhi Lv, Jingxiong He, Suming Du, Fang Wang, Ye Wang, Lin Ni, Xiaojin Zhang, Fan Pan

“…First, we defined three patterns of BMRG modification (C1, C2, and C3) by consensus clustering of BMRG sets and LIHC transcriptome data obtained from public databases. Survival analysis showed that patients in the C2 group had a better prognosis, and Gene Set Variation Analysis (GSVA) revealed that the statistically significant pathways were mainly enriched in the C2 group. …”
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Assessment of the Relationship Between Higher Education and Innovation Development in Kazakhstan by A. A. Meldebekova, K. A. Turkeyeva, A. K. Boranbaeva, Z. U. Dzhubalieva

“…The research uses correlation and regression analysis, modeling of linear equations, structural, functional, and comparative analysis, and the grouping method. …”
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RTide: Automating the Tidal Response Method by Thomas Monahan, Tianning Tang, Stephen Roberts, Thomas A. A. Adcock

“…Moreover, specialized approaches impose problem‐specific functional forms and rely on auxiliary data, limiting their applicability across different nonstationary tidal processes. …”
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Hypercholesterolemia and the role of lipid metabolism gene CES1 in immune infiltration promote central nervous system relapse in acute myeloid leukemia by Wanwan Bao, Wanwan Bao, Yansong Tu, Shan Zhang, Shan Zhang, Xiaoyan Jiang, Huijun Chen, Huaijun Tu, Jian Li

“…RNA sequencing of AML patients with or without CNS relapse revealed 1,368 differentially expressed genes (DEGs). Functional enrichment analysis of the DEGs indicated a connection between lipid metabolism and CNS relapse. …”
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Uncertainty-aware traction force microscopy. by Adithan Kandasamy, Yi-Ting Yeh, Ricardo Serrano, Mark Mercola, Juan C Del Alamo

“…They also illustrate how uncertainty-aware TFM tools can be used to objectively choose key image analysis parameters like PIV window size. We anticipate that these tools will allow for decoupling biological heterogeneity from measurement variability and facilitate automating the analysis of large datasets by parameter-free, input data-based regularization.…”
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Application of deep learning for diagnosis of shoulder diseases in older adults: a narrative review by Sung Min Rhee

“…Shoulder diseases pose a significant health challenge for older adults, often causing pain, functional decline, and decreased independence. This narrative review explores how deep learning (DL) can address diagnostic challenges by automating tasks such as image segmentation, disease detection, and motion analysis. …”
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Biosynthesis , Characterization and Removal Efficiency for Petroleum Leakage of the Cofe2o4 Nanoparticles by Haydar Matz Muhy, Fatih Duman

“…The XRD analy-sis revealed that the particle structure was in the cubic spinel structure with functional groups bound by FT-IR analysis and Raman data. …”
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Histogram-based gradient boosting machine with SHAP-driven interpretability for predicting intensity of urban heat Island effect by Nhat-Duc Hoang

“…Abstract This study presents a novel framework for the analysis and prediction of urban heat stress. To conduct the analysis, urban Land Surface Temperature (LST) data were retrieved from Landsat 8 during the dry seasons in 2006, 2014, and 2022. …”
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Electrochemical and computational investigation of Cicer arietinum extract as renewable and environmentally green corrosion inhibitor for aluminium in acidic environment by Hala. M. Hassan

“…The inhibition mechanism of Al in the aggressive solution was elucidated through a combination of experimental data, DFT calculation, and surface analysis.…”
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Degeneration of the olfactory guanylyl cyclase D gene during primate evolution. by Janet M Young, Hang Waters, Cora Dong, Hans-Jürgen Fülle, Emily R Liman

“…<h4>Principal findings</h4>Here we used a combination of bioinformatic analysis of trace-archive and genome-assembly data and sequencing of PCR-amplified genomic DNA to determine when during primate evolution the functional gene was lost. …”
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Moderation of social participation in the relationship between disaster exposure and depression among older adults: evidence from LASI Survey, 2017–18 by Sumit Narayan Dwivedi, R. S. Reshmi, Samrat Sarkar

“…In addition to descriptive statistics, we conducted a bivariate logistic regression analysis, explored interaction effects, and performed dominance analysis. …”
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Mifepristone-related foetal cardiac adverse events: findings from the postmarketing safety reports by Ran Liu, Jihong Wang, Qiong Wang, Yi Zhang, Fengjuan Yuan

“…Background This study aimed to analyse the clinical characteristics of mifepristone-associated congenital and foetal cardiac adverse events using data from the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS).Methods A retrospective pharmacovigilance analysis was conducted using FAERS data from Q1 2016 to Q4 2022. …”
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Nurse leader perspectives of organisational capacity for higher education: implications for nursing education policy by Patricia Y. Mudzi, Sfiso Mabizela, Judith Bruce

“…Descriptive statistics, confirmatory factor analysis, and inter-item reliability were applied in data analysis and instrument testing. …”
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Influence of road environmental factors on traffic accidents involving vulnerable road users through negative binomial models. by Ying Chen, Yi Tian, Zhaoheng Ouyang, Jiaxun Zhu

“…By leveraging detailed historical crash records linked to spatially-explicit infrastructure data, the research team employed advanced count regression modeling techniques, including negative binomial (NB) and zero truncated tail negative binomial (ZTNB) specifications, to systematically evaluate the safety impacts of roadway functional classification, intersection design, traffic controls, alignment geometry, pedestrian segregation, land use context, and traffic volumes. …”
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Whole-genome resequencing reveals collagen-related genes in Kele pigs. by Yu Dan Zhang, Wei Yuan, Huan Bi, Xiao Yang, Yi Yu Zhang, Wei Chen

“…After data analysis, the SNP annotation of Kele pigs identified 4,570 high-impact mutation sites that could result in protein function loss, with SNPs primarily distributed in the intronic and exonic regions. …”
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Analytical support to organization system of children transportation in long-distance trains by A. V. Komissarov, E. A. Makarova, S. V. Muktepavel, I. A. Nestrakhov, I. N. Spesivtseva

“…For the analysis of transportation of children's age categories, a functional has been developed that ensures the construction of aggregated reporting based on trains data that completed the trip. …”
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Higher amounts of habitual physical activity changes the relationship between hot flashes and subclinical cardiovascular disease risk by Sarah Witkowski, Tint Tha Ra Wun, JoSophia Brunzelle, Sara Buszkiewicz, Lorna Murphy, Randi L. Garcia, Lynnette Leidy Sievert

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Radiographic and tomographic findings of excretory urography of avian kidneys after induced nephropathy in broiler chicken as a model by Mahsa Zangisheh, Majid Masoudifard, Seyed Ahmad Madani, Alireza Vajhi, Hamideh hasannejhad, Ameneh Ghojoghi

“…After the necropsy, kidney samples were sent for histopathology evaluation, and statistical analysis of data obtained from image analysis was conducted. …”
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Risk Factors for Cognitive Impairment Following Angiographically Negative Subarachnoid Haemorrhage Around the Midbrain by Liu Y, Li Z, Xu W, Zhao Z, Zhang W, Wu J

“…General demographic and clinical data were collected, and patients’ cognitive function was assessed using the Montreal Cognitive Assessment scale. …”
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