Soft-sensor modeling of silicon content in hot metal based on sparse robust LS-SVR and multi-objective optimization by GUO Dong-wei, ZHOU Ping

“…First, owing to the issue that the Lagrange multiplier of the standard least squares support vector machine (LS-SVR) is directly proportional to the error term and solves the lack of sparsity, the maximal independent set of sample data in the feature space mapping set was extracted to realize the sparse of the training sample set and reduce the computational complexity of modeling. Next, in view of the problem that the standard least squares support vector machine has no regularization term, a method to improve the modeling ro-bustness was proposed by introducing the IGGⅢ weighting function into the obtained sparse least squares support vector regression (S-LS-SVR) model. …”
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Future of Legalization of Cannabis and its Impact on the Availability of Synthetic Cannabinoids by A. El Mougy

“…Opinions about drug legalization/decriminalization can differ based on whether a person has a personal history of substance use and as a function of demographic and ideological characteristics (such a religious or political preference). …”
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On Power-Off Temperature Attacks Potential Against Security Sensors by Maryam Esmaeilian, Vincent Beroulle, David Hély

“…After a POTA, the circuit or its detectors may not function properly when the power is restored, potentially allowing other attacks to go undetected if the detectors are less sensitive. …”
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Seeking Optimal Region-Of-Interest (ROI) Single-Value Summary Measures for fMRI Studies in Imaging Genetics. by Yunxia Tong, Qiang Chen, Thomas E Nichols, Roberta Rasetti, Joseph H Callicott, Karen F Berman, Daniel R Weinberger, Venkata S Mattay

“…In imaging genetics with functional magnetic resonance imaging (fMRI) phenotypes, since many experimental paradigms activate focal regions that can be pre-specified based on a priori knowledge, reducing the voxel-wise search to single-value summary measures within a priori ROIs could prove efficient and promising. …”
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Effect of Heptral on Blood Coagulant Activity in Pancreonecrosis by M. S. Sukach, V. T. Dolgikh

“…At the same time, there is an increase in antioxidant system activity detectable by chemiluminescence which also testifies that hepatic functional and metabolic impairments are ameliorated. …”
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Elevated heterotrophic activity in Guaymas Basin hydrothermal plumes influences deep-sea carbon cycling by Andrew Montgomery, Guang-Chao Zhuang, Zhichao Zhou, Marguerite V. Langwig, María del Carmen Millán-Motolinía, Hannah Y. L. Choi, Kimberley S. Hunter, Carlos A. Mortera-Gutiérrez, Christelle Hyacinthe, Zachary Marinelli, Karthik Anantharaman, Andreas Teske, Samantha B. Joye

“…Acetate and methanol are detected throughout the water column and are rapidly metabolized in Guaymas Basin waters. …”
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A novel TERT variant associated with a telomere biology disorder and challenges in variant classification by Vahid Pazhakh, Lucy C. Fox, Nicole Den Elzen, Matthew R. Emerson, Scott B. Cohen, Tracy M. Bryan, Kevin Norris, Duncan M. Baird, Tara Cochrane, John Mackintosh, Ashleigh Scott, Piers Blombery

“…A novel TERT variant (K710R) was detected in a patient with classic TBD features showing reduced telomerase activity and processivity. …”
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Identification of Shade Avoidance Response MicroRNAs and Their Targets in <i>Solanum tuberosum</i> L. via High-Throughput Sequencing by Mei Liu, Jiangwei Yang, Ning Zhang, Run Qiao, Xinxia Li, Fengjiao Zhu, Huaijun Si

“…These findings indicate that miRNAs may play key regulatory roles in potato shade avoidance by targeting specific genes, providing valuable insights for future functional studies and potential yield enhancement.…”
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Fish Diversity Patterns in Rivers Receiving Ecological Water Supplement Driven by Riparian Land Use by LIU Han, LI Lu-dan, GUO Wei-jie, QIAO Qiang-long, GONG Dan-dan, DU Qi, LI Hang, ZHAO Wei-hua

“…Functional dispersion (FDis) and taxonomic diversity (Delta) correlating significantly with all diversity dimensions (r=0.36-0.90; p&lt;0.05) and outperforming species richness in detecting environmental responses. …”
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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…The innovation of the SEAttention module lies in replacing the original activation function with the Mish activation function, which can dynamically adjust the weights of different channels to enhance performance. …”
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Identifying novel heterozygous PI4KA variants in fetal abnormalities by Chen Cheng, Fan Yang, Xinlin Chen, Sheng Zhao

“…The functional consequences of these variants were evaluated using bioinformatics tools. …”
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Upregulation of circGDI2 inhibits tumorigenesis by stabilizing the expression of RNA m6A demethylase FTO in oral squamous cell carcinoma by Yuwei Gu, Ling Sheng, Xiaoxiao Wei, Yuling Chen, Yuntao Lin, Zhangfu Li, Xiaolian Li, Huijun Yang, Yufan Wang, Hongyu Yang, Yuehong Shen

“…Lentiviral transfection was used to construct stable circGDI2 overexpressing cells for subsequent cell function tests. RNA pull-down, RNA Immunoprecipitation (RIP), western blotting, and protein stability assays were conducted to detect circGDI2 binding proteins and their functions. …”
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Improved Charge Carrier Transport Across Grain Boundaries in N‐type PbSe by Dopant Segregation by Huaide Zhang, Minghao Shen, Christian Stenz, Christian Teichrib, Riga Wu, Lisa Schäfer, Nan Lin, Yiming Zhou, Chongjian Zhou, Oana Cojocaru‐Mirédin, Matthias Wuttig, Yuan Yu

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The impact of PCR duplication on RNAseq data generated using NovaSeq 6000, NovaSeq X, AVITI, and G4 sequencers by Natalia Zajac, Ioannis S. Vlachos, Sija Sajibu, Lennart Opitz, Shuoshuo Wang, Sridar V. Chittur, Christopher E. Mason, Kevin L. Knudtson, John M. Ashton, Hubert Rehrauer, Catharine Aquino

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Service delay in schizophrenia: case–control study of pathways to care among homeless and non-homeless patients by Ida-Marie Mølstrøm, Rasmus Handest, Mads Gram Henriksen, Annick Urfer Parnas, Julie Nordgaard

“… Background Early detection of psychosis is paramount for reducing the duration of untreated psychosis (DUP). …”
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Prevention of the Fracture Problem Occurring in Automotive Alternator Heatsink Blocks Using Artificial Intelligence by Dinçer Kökden, Adem Egi, Emre Bulut, Emre İsa Albak, İbrahim Korkmaz, Ferruh Öztürk

“…While the artificial neural network was trained to establish a functional relationship between the parameters and the resonance frequency, regression analysis was used to develop a predictive model to detect the resonance frequency of the heatsinks. …”
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Exploring Viral Interactions in <i>Clavibacter</i> Species: In Silico Analysis of Prophage Prevalence and Antiviral Defenses by Lucía Margarita Rubí-Rangel, Josefina León-Félix, Claudia Villicaña

“…We identified 353 prophages, predominantly in chromosomes, with some detected phage-plasmids. Most prophages exhibited traits of advanced domestication, such as an unimodal genome length distribution, reduced numbers of integrases, and minimal transposable elements, suggesting long-term interactions with their bacterial hosts. …”
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In Vitro Inhibition of Enzymes and Antioxidant and Chemical Fingerprinting Characteristics of <i>Azara serrata</i> Ruiz & Pav. Fruits, an Endemic Plant of the Valdivian Forest of C... by Philipp Hopfstock, Javier Romero-Parra, Peter Winterhalter, Recep Gök, Mario Simirgiotis

“…These Chilean berries can be used as functional food and their extracts are candidates for use as functional ingredients in naturally healthy products.…”
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Digital Health Technologies for Coeliac Disease: A Realist Approach by Rosie Cooper, Matthew Kurien, Steve Ariss, Geoff Wong

“…Treatment requires life-long adherence to a gluten-free diet (GFD) which aims to reduce the risk of complications and preserve individuals’ functional status and quality of life (QoL). …”
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Gross Tonnage-Based Statistical Modeling and Calculation of Shipping Emissions for the Bosphorus Strait by Kaan Ünlügençoğlu

“…The modeling framework followed a three-step strategy: (1) outlier detection using Rosner’s test to reduce the influence of outliers on model accuracy, (2) curve fitting with 12 regression models representing four curve types—polynomial (e.g., linear, quadratic), concave/convex (e.g., exponential, logarithmic), sigmoidal (e.g., logistic, Gompertz, Weibull), and spline-based (e.g., cubic spline, natural spline)—to capture diverse functional relationships between GT and emissions, and (3) model comparison using difference performance metrics to ensure a comprehensive assessment of predictive accuracy, consistency, and bias. …”
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