A Comparison of the efficacies of differential item functioning detection methods by Münevver Başman

“…However, differential item functioning (DIF) occurs when the results of individuals with equal ability levels from different groups differ from each other on the same test item. …”
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The Genomic Characterization of Equid Alphaherpesviruses: Structure, Function, and Genetic Similarity by Diqiu Liu, Xiaoyang Zhao, Xiaojun Wang

“…This paper systematically describes the genomic structure, function, and genetic similarities of αEHVs and conducts a comparative analysis of selected αEHVs through pairwise sequence alignments of nucleotides and amino acids. …”
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Structure guided functional analysis of the S. cerevisiae Mre11 complex by Marcel Hohl, You Yu, Vitaly Kuryavyi, Dinshaw J. Patel, John Petrini

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Ovarian Function Restoration Using Autologous Platelet‐Rich Plasma by Zijia Guo, Kazuhiro Kawamura

“…Effective treatments for ovarian function restoration are limited. Platelet‐rich plasma (PRP), an autologous regenerative therapy, shows potential for improving ovarian function; however, its mechanisms of action and optimal treatment protocols remain unclear. …”
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Neural network distillation of orbital dependent density functional theory by Matija Medvidović, Jaylyn C. Umana, Iman Ahmadabadi, Domenico Di Sante, Johannes Flick, Angel Rubio

“…In this paper, we formulate a general way of rewriting complex density functionals using deep neural networks in a way that allows for simplified computation of Kohn-Sham potentials as well as higher functional derivatives through automatic differentiation, enabling access to highly nonlinear response functions and forces. …”
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Predicting electronic screening for fast Koopmans spectral functional calculations by Yannick Schubert, Sandra Luber, Nicola Marzari, Edward Linscott

“…Abstract Koopmans spectral functionals are a powerful extension of Kohn-Sham density-functional theory (DFT) that enables the prediction of spectral properties with state-of-the-art accuracy. …”
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Development of HuMiChip for functional profiling of human microbiomes. by Qichao Tu, Zhili He, Yan Li, Yanfei Chen, Ye Deng, Lu Lin, Christopher L Hemme, Tong Yuan, Joy D Van Nostrand, Liyou Wu, Xuedong Zhou, Wenyuan Shi, Lanjuan Li, Jian Xu, Jizhong Zhou

“…Obvious shifts of microbial functional structure and composition were observed for both patients with dental caries and periodontitis from moderate to advanced stages, suggesting a progressive change of microbial communities in response to the diseases. …”
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Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…A novel approach is proposed for constructing window functions through the synthesis of Finite Impulse Response (FIR) digital filters. …”
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Cannabidiol and nano-selenium mediate intestinal barrier function by affecting mucosal microstructures, and gut-associated immunological and oxidative stress response in the gut of chickens infected with C. perfringens by Dominika Szkopek, Marta Mendel, Misza Kinsner, Katarzyna Ognik, Natalia Szyryńska, Bogdan Lewczuk, Krzysztof Kozłowski, Ivica Kos, Paweł Konieczka, Paweł Konieczka

“…The present study hypothesized that CBD and nano-Se mediate epigenetic and oxidative DNA changes in blood and intestinal epithelial cells and can affect intestinal development and functionality in broiler chickens at an early stage of infection with C. perfringens. …”
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Study protocol for a pilot clinical trial to understand neural mechanisms of response to a psychological treatment for pain and anxiety in pediatric functional abdominal pain disorders (FAPD). by Natoshia R Cunningham, Michelle A Adler, Brittany N Barber Garcia, Taylor Abounader, Alaina K Miller, Mariela Monzalvo, Ismaeel Hashemi, Ryan Cox, Samantha L Ely, Yong Zhou, Mark DeLano, Todd Mulderink, Mathew J Reeves, James L Peugh, Susmita Kashikar-Zuck, Robert C Coghill, Judith E Arnetz, David C Zhu

“…<h4>Background</h4>Functional abdominal pain disorders (FAPD) are the most common chronic pain conditions of childhood and are made worse by co-occurring anxiety. …”
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Functional Responses of the Warehouse Pirate Bug <i>Xylocoris flavipes</i> (Reuter) (Hemiptera: Anthocoridae) on a Diet of <i>Liposcelis decolor</i> (Pearman) (Psocodea: Liposcelididae) by Augustine Bosomtwe, George Opit, Kristopher Giles, Brad Kard, Carla Goad

“…Maximum likelihood estimates (MLEs) of a logistic regression analysis showed that the functional responses of the life stages of <i>X. flavipes</i> on diets of three stages of <i>L. decolor</i> were Holling Type II. …”
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Effects of dietary carbohydrate level on growth performance, glucose metabolism, antioxidant capacity, immune response, and digestive function in coho salmon Oncorhynchus kisutch (Walbaum, 1792) fry by Hairui Yu, Lingyao Li, Leyong Yu, Abdur Rahman, Govindharajan Sattanathan

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Activity and function of auxiliary fluxes of glucose metabolism in response to physiological normoxia (5 % O2) during long-term Adipose-Derived Stem/Stromal cell culture by Paulina Rybkowska, Maria Kawalec, Dorota Dymkowska, Klaudia Radoszkiewicz, Barbara Zabłocka, Krzysztof Zabłocki, Anna Sarnowska

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<p><strong>Host-dependent functional response of <em>Typhlodromus bagdasarjani</em> (Acari: Phytoseiidae) feeding on <em>Tetranychus urticae</em> (Acari: Tetranychidae)</strong></p> by Afsoon Azadi-Qoort, Amin Sedaratian-Jahromi, Azadeh Farazmand

“…The logistic regression revealed type II functional response on the tomato, eggplant, and watermelon and a type III one on the cucumber. …”
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Effect of Blending Ratio and Extrusion Operating Conditions on Nutritional Quality and Functional and Sensory Acceptability of Teff-Bulla-Based Complementary Food: A Response Surface Methodology Approach by Getu Weya Chewicha, Muhammed Adem Abdullahi, Tadele Andargie Wudineh, Tatek Tamiru Geletu, Neela Satheesh

“…This study used central composite rotatable design (CCRD) to assess the effects of specific processing parameters on response variables such as proximate composition and physical, functional, and sensory qualities of produced complementary food. …”
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Study of the Efficacy of Neural Mobilizations to Improve Sensory and Functional Responses of Lower Extremities in Older Adults with Diabetic Peripheral Neuropathy Using Plithogenic n-SuperHyperGraphs by Lisbeth J. Reales-Chacón, María E. Lucena de Ustáriz, Francisco J. Ustáriz-Fajardo, Andrea C. Peñafiel Luna, Gabriela J. Bonilla-Ayala, Pablo Djabayan-Djibeyan, José L. Erazo-Parra, Mónica A.Valdiviezo-Maygua

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Tissue-Specific RNA-Seq Analysis of Cotton Roots’ Response to Compound Saline-Alkali Stress and the Functional Validation of the Key Gene <i>GhERF2</i> by Aiming Zhang, Qiankun Liu, Xue Du, Baoguang Xing, Shaoliang Zhang, Yanfang Li, Liuan Hao, Yangyang Wei, Yuling Liu, Pengtao Li, Shoulin Hu, Renhai Peng

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Functional Characterisation of <i>GmGASA1-like</i> Gene in <i>Glycine max</i> (L.) Merr.: Overexpression Promotes Growth, Development and Stress Responses by Mohamed A. S. Khalifa, Qi Zhang, Yeyao Du, Nooral Amin, Baozhu Dong, Piwu Wang

“…In this study, we overexpressed a novel <i>GASA</i> gene (<i>GmGASA1-like</i>) in <i>Glycine max</i> and conducted bioinformatic analyses, evaluated the T2 transgenic line in an open field, and applied major stressors along with the growth promoter GA₃ to investigate the potential functions of the <i>GmGASA1-like</i> gene. The results of bioinformatics implied that the <i>GmGASA1-like</i> gene is regulated by GA₃, and its protein has the potential to influence key processes of plant growth and development. …”
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The Effects of a Functional Palatability Enhancer on the Growth, Immune Response and Intestinal Microbiota of <i>Penaeus vannamei</i> Chronically Exposed to a Suboptimal Temperature (22 °C) by Flávia Banderó Hoffling, Camilla Souza Miranda, Maria Helena de Araújo Mendes, Julia Heindrickson, Scheila Anelise Pereira, Thiago Raggi, Sofia Morais, Walter Quadros Seiffert, Delano Dias Schleder, Felipe Boéchat Vieira

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Authors’ Response to Peer Reviews of “Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models” by Masab Mansoor, Kashif Ansari

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