The Validation of a Hemagglutination Inhibition Assay That Detects Antibodies Against a Newcastle Disease Virus-Based Vaccine Vector in Human Serum Samples by Milton Nieto-Ponce, Edgar Reyna-Rosas, Rosa Andrea Palencia-Reyes, Carlos Blancas-Ruíz, Guadalupe Aguilar-Rafael, Marlenne Paola Rubicer Rubio-Diaz, Luis Alfonso Ramírez-Martínez, Claudia Carranza, Bernardo Lozano-Dubernard, Martha Torres, Horacio Zamudio-Meza

“…Finally, the results regarding accuracy, linearity, and robustness indicate that the assay is accurate across the evaluated concentration intervals, with a linear correlation between low and high levels, and demonstrate that it is robust and consistent when serum–antigen interaction times are changed. …”
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The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system by Ai-Dong Wang, Rui-Jie Li, Xiang-Qian Feng, Zi-Qiu Li, Wei-Yuan Hong, Hua-Xing Wu, Dan-Ying Wang, Song Chen

“…Fourteen morphological feature parameters are constructed, and the leaf area values are measured through destructive sampling, together forming the dataset. A comprehensive comparison of six algorithms (linear regression, support vector regression, random forest, XGBoost, CatBoost, and K-nearest neighbors) is conducted, assessing their performance under a combined strategy of data augmentation (noise injection, generative adversarial networks, Gaussian mixture model, variational autoencoders) and transfer learning (random, clustering, and hierarchical parameter transfer). …”
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SpecBoost: Accelerating Tiled Sparse Matrix Multiplication via Dataflow Speculation by Gwanghwi Seo, Sungju Ryu

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Prevalence, antimicrobial resistance and biofilm forming ability of Escherichia coli in milk, animal handlers and slurry samples from dairy herds of Punjab, India by Deepthi Vijay, Jasbir Singh Bedi, Pankaj Dhaka, Randhir Singh, Jaswinder Singh, Anil Kumar Arora, Jatinder Paul Singh Gill

“…The present study employs a ‘One Health’ framework to determine the prevalence, phenotypic and genotypic characterisation of the AMR profile and biofilm forming ability of E. coli isolates from milk, hand swabs and slurry samples of 405 dairy herds in Punjab, India. An overall prevalence of E. coli was 34.3% (139/405) (95% CI: 0.30 to 0.39) from pooled milk samples, 9.1% (37/405) (95% CI: 0.06 to 0.12) from the hand swabs of animal handlers and 64.4% (261/405) (95% CI: 0.60 to 0.69) in the slurry samples. …”
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The association between stress hyperglycemia ratio and 1-year outcomes in patients with acute myocardial infarction: a retrospective large sample cohort study by Ning Yan, Peng Wu, Peng Wu, Zhengjun Zhang, Mohan Wang, Juan Ma, Ali Ma, Dapeng Chen, Xueping Ma, Xiaocheng Li

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Towards site-independent calibration of in situ soil pH sensor data: Relevance of spatial and temporal proximity, sample size and data spread for calibration model performance by Sebastian Vogel, Mandy Gebbers, Ingmar Schröter, Wolfgang Schwanghart, Eric Bönecke, Jörg Rühlmann, Eckart Kramer, Robin Gebbers

“…We assess the effects of spatial and temporal proximity, sample size and data spread on the performance of univariate linear regression models for pH sensor data calibration. …”
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Determination of Au and Ag from iron ores combining FA and ICP/AES methods by Dragan Tošković, Miloš Rajković

“…The advantages of ICP/AES are excellent detection limits and linear dynamic range as well as a stable and repeating signal which is particularly important for samples of iron tested due to the low content of noble metals.…”
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The associations between coping resources and help-seeking intention in a sample of Chinese first-year medical students: mediation effects of coping strategies by Hui Lu, Shenhang Xia, Yuanyuan Zheng, Wendan Chen, Zhou Jin, Wenshuang Sun, Junhao Tu, Yiping Tang, Sipei Pan, Xianghe Zhu, Weihong Song, Yili Wu

“…., active coping and behavioral disengagement) in these relationships. Methods The sample included 792 Chinese first-year medical students. …”
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Developing a simple artificial intelligence fuzzy-based model for estimating saturated hydraulic conductivity of soil by Mohammad Naderianfar

“…The data used in this study includes physical properties related to 331 soil samples from the UNSODA soil database (170 samples) and existing data from soils in the cities of Amol, Babol, Karaj (50 samples), and Shahrekord (111 samples). …”
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Length-weight relationship of 104 demersal fish species from the continental shelf of the South Brazilian Bight captured in bottom trawl shrimp nets by Gabriel Domingues de Melo, Henry Louis Spach, Johnatas Adelir-Alves, Pedro Carlos Pinheiro, Marcelo Soeth

“…The regression criteria describing the length-weight relationship for each species were classified as approved (met the criteria), approved with reservations (partially met the criteria), and not approved (did not meet the criteria) based on linear regression parameters to determine whether length is a viable predictor of weight. …”
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Characterization of NiCrAlY Layers Deposited on 310H Alloy Using the EB-PVD Method After Oxidation in Water at High Temperature and Pressure by Florentina Golgovici, Aurelia-Elena Tudose, Laurențiu Florin Mosinoiu, Ioana Demetrescu

“…After testing, the coating performance was carried out by gravimetric analysis, grazing incidence X-ray diffraction (GIXRD), scanning electron microscopy (SEM), electrochemical impedance spectroscopy (EIS), and the linear polarization method. GIXRD analysis highlighted the presence of chromium oxide (Cr₂O₃) and the Corundum phase (Al₂O₃) on the surface of the oxidized NiCrAlY-coated 310H samples. …”
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An algorithm for distributed parameter estimation in modal regression models by Xuejun Ma, Xiaochao Xia

“…Differing from the existing methods regarding distributed modal regression, the proposed method combines the divide-and-conquer idea and a linear approximation algorithm. It is computationally fast and statistically efficient to implement. …”
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Detection and Classification of Emotional State Based on Speech Signal by Hiba Younis, Mrewan Mustafa, Rahma Raad

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Caffeine’s influence on vertical jump height: a real-life collegiate student-athlete approach by Zacharias Papadakis, Vassilios Panoutsakopoulos, Antonella Schwarz, Jose Antonio

“…Three trials per jump type were retained to preserve intra-individual variance. Linear mixed-effects models (LMMs) assessed fixed effects of condition, sex, and trials, with random intercepts and slopes accounting for individual variability. …”
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Optimization and Validation of Analytical Methodology for Determination of Pesticides in Grape, Must and Wine Samples with QuEChERS Extraction and Gas Chromatography–Mass Spectrome... by Dionysia L. Sykalia, Epameinondas P. Trantopoulos, Charoula S. Tsoutsi, Triantafyllos A. Albanis

“…The developed methodology was tested on real samples of grapes, must and wine obtained from a winery in the Epirus region. …”
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A New Green Approach of CFIA Technique for Direct Assay with a High Throughput of Sulfamethoxazole Drugs Using Condensation Reaction with NQS Agent by Wasan A. Hanooan, Bushra B. Qassim

“…The suggested method based on the production of the orange- colored compound of SMZ with (NQS)1,2-Naphthoquinone-4-Sulphonic acid Sodium salt in alkaline media NaOH at λmax 496nm.The linearity range of sulfamethoxazole was  3-100  μg. mL-1, with (LOD) was 0.593 μg. mL-1 and the RSD% is about 1.25 and the recovery is 100.73%. …”
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Plant remains from the Linear Pottery Culture settlement at sites Modlniczka 3 and 4, Kraków district. New sources for understanding agriculture in the Early Neolithic in southern... by Magda Dagmara Kapcia, Maciej Nowak

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Comparative analysis of Access PCT and Elecsys BRAHMS PCT assays for procalcitonin measurements by Hyunji Choi, Sang-Shin Lee, Hyunyong Hwang

“…Methods The precision, detection capability, linearity, and reference range of both assays were assessed. …”
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Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography. by Mahesh B Nagarajan, Paola Coan, Markus B Huber, Paul C Diemoz, Axel Wismüller

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What factors influence the willingness and intensity of regular mobile physical activity?— A machine learning analysis based on a sample of 290 cities in China by Hao Shen, Bo Shu, Jian Zhang, Yaoqian Liu, Ali Li

“…Interaction effects and non-linear patterns were also assessed.ResultsThe study identified three key findings: (1) A significant difference exists between the influencing factors of activity willingness and activity intensity. …”
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