2,4-Thiazolidinedione Treatment Improves the Innate Immune Response in Dairy Goats with Induced Subclinical Mastitis by Fernanda Rosa, Johan S. Osorio, Erminio Trevisi, Francisco Yanqui-Rivera, Charles T. Estill, Massimo Bionaz

“…The objectives of the present experiment were to test if treatment with the putative PPARγ agonist 2,4-thiazolidinedione (TZD) improves (1) the response to subclinical mastitis and (2) milk fat production. …”
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Genomic Variability among Field Isolates and Laboratory-Adapted Strains of Leptospira borgpetersenii Serovar Hardjo by Alejandro Llanes, Carlos Mario Restrepo, Pablo Riesgo-Ferreiro, Sreekumari Rajeev

“…In contrast, several differences regarding gene content and genetic variants were observed between the two subtypes. Putative type-specific genes appear to encode proteins associated with functions that are critical for infection. …”
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A parametric investigation of binaural beats for brain entrainment and enhancing sustained attention by Anastasiia Melnichuk, Robert K. Cooper, Larry W. Hawk

“…Abstract Binaural beats (BBs) have garnered attention as a highly accessible, noninvasive method to enhance cognitive performance, putatively via brain entrainment. However, the few studies that have directly examined the impact of BBs on sustained attention report inconsistent findings, perhaps due to wide variation in methodology. …”
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Insights into the formulation properties, biocompatibility, and permeability of poorly water-soluble methoxyflavones with PEG400 and propylene glycol by Eze Fredrick Nwude, Jansakul Chaweewan, Srichana Teerapol

“…Herein, thermal and non-thermal techniques were used to elucidate the putative physical and chemical interactions between poorly water-soluble Kaempferia methoxyflavones and PEG400/propylene glycol. …”
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Potential roles of cigarette smoking on gut microbiota profile among Chinese men by Jiayao Fan, Fangfang Zeng, Haili Zhong, Jun Cai, Wentao Shen, Chunxiao Cheng, Chunfeng He, Yuanjiao Liu, Yuan Zhou, Shujie Chen, Yimin Zhu, Tao Liu, Ju-Sheng Zheng, Lan Wang, Yu-Ming Chen, Wenjun Ma, Dan Zhou

“…Furthermore, we revealed putative mediation roles of the gut microbiome in the associations between smoking and common diseases including cholecystitis and type 2 diabetes. …”
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Community structure of heritable viruses in a Drosophila-parasitoids complex by Varaldi, Julien, Lepetit, David, Burlet, Nelly, Faber, Camille, Baretje, Bérénice, Allemand, Roland

“…After two lab generations, putative DNA and RNA viruses were purified and sequenced. …”
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Factors Influencing The Use of QRIS in Digital Transactions by Fadhil Muhammad, Arif Imam Suroso, Setiadi Djohar

“…Evaluating both factors concurrently can provide a more comprehensive assessment of the technology adoption process. Keywords: UTAUT 2, IRT, digital transaction, QRIS, technology acceptance…”
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Different orthology inference algorithms generate similar predicted orthogroups among Brassicaceae species by Irene T. Liao, Karen E. Sears, Lena C. Hileman, Lachezar A. Nikolov

“…Abstract Premise Orthology inference is crucial for comparative genomics, and multiple algorithms have been developed to identify putative orthologs for downstream analyses. Despite the abundance of proposed solutions, including publicly available benchmarks, it is difficult to assess which tool is most suitable for plant species, which commonly have complex genomic histories. …”
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Understanding pre-service teachers' intention to adopt and use artificial intelligence in Nigerian inclusive classrooms by Olufemi Timothy Adigun, Olufemi Timothy Adigun, Faisat Adeniran Tijani, Cynthy K. Haihambo, Simasiku Limbo Enock

“…IntroductionThis study applied the Unified Theory of Acceptance and Use of Technology (UTAUT) to provide an understanding of the behavioral intentions of pre-service teachers in the adoption and utilization of artificial intelligence (AI) tools for educational engagement in the inclusive classroom.MethodsThe cross-sectional study collected data through a validated questionnaire from 411 pre-service teachers were analyzed with descriptive statistics such as frequency counts and simple percentage calculation, as well as inferential statistics which involved correlational analysis and Structural Equation Modeling (SEM).ResultsThe study established that effort expectancy had a positive and direct significant contribution to the perceived behavioral intention of pre-service teachers to adopt and use AI for inclusive education teaching. …”
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Metabolomic analysis of murine tissues infected with Brucella melitensis. by Bárbara Ponzilacqua-Silva, Alexis S Dadelahi, Charles R Moley, Mostafa F N Abushahba, Jerod A Skyberg

“…Treatment of macrophages with GABA did not alter control of B. melitensis infection, and deletion of the putative GABA transporter BMEI0265 did not alter B. melitensis virulence. …”
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Deep learning in gonarthrosis classification: a comparative study of model architectures and single vs. multi-model methods by Sahika Betul Yayli, Kutay Kılıç, Salih Beyaz

“…The multi-model approach utilized three DL models: one for osteophyte detection, another for joint space narrowing analysis, and a third to combine these outputs with demographic and image data for KL classification. …”
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3‐D Regional Ionosphere Imaging and SED Reconstruction With a New TEC‐Based Ionospheric Data Assimilation System (TIDAS) by Ercha Aa, Shun‐Rong Zhang, Philip J. Erickson, Wenbin Wang, Anthea J. Coster, William Rideout

“…A hybrid Ensemble‐Variational scheme is utilized to reconstruct the regional 3‐D electron density distribution: a more realistic and location‐dependent background error covariance matrix is calculated from an ensemble of corrected NeQuick outputs, and a three‐dimensional variational (3DVAR) method is adopted for measurement updates to obtain an optimal state estimation. …”
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Assessing the Logistics Efficiency of Baltic Region Seaports Through DEA-BCC and Spatial Analysis by Vilma Locaitienė, Kristina Čižiūnienė

“…For the DEA-BCC model, constraints were defined for each port based on inputs (number and length of berths) and outputs (cargo and container volumes for 2019–2023). …”
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Comparison between Satellite Water Vapour Observations and Atmospheric Models’ Predictions of the Upper Tropospheric Thermal Radiation by J. R. Dim, T. Y. Nakajima, T. Takamura, N. Kikuchi

“…However the simulations’ differences with the observations are generally lower with the NCEP/DOE than with the NICAM. The NCEP/DOE model outputs very often overestimate the UTBT and therefore present a drier upper troposphere. …”
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EXPERIENCE OF USING PLANET EARTH OBSERVATION DATA IN RETRAINING COURSES FOR EDUCATORS IN THE JUNIOR ACADEMY OF SCIENCES OF UKRAINE by Stanislav O. Dovgyi, Svitlana M. Babiichuk, Olha V. Tomchenko

“…The Junior Academy of Sciences of Ukraine has been promoting the application of satellite imagery in education for over ten years. One of the outputs of this activity is the advanced training course for educators. …”
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Presenting a model for solving lot-streaming hybrid flow shop scheduling problem by considering independent setup time and transportation time by Roja Ruhbakhsh, Esmaeil Mehdizadeh, Mohammad Amin Adibi

“…To illustrate the performance of the proposed metaheuristic algorithms, the obtained results of the algorithms compared with GAMS outputs in single mode.Findings: To validate the proposed model, a sample is solved using GAMS software and compared with the genetic algorithm. …”
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Farmers-Herders Conflict and Nigeria’s Quest for Food Security: The Imperative Need for Information Communications Technology by Olawale Olufemi Akinrinde, Abdullahi Abdullazeez Osuwa, Kayode Wakili Olawoyin

“…In recent times, many scholarly studies and inquiries on the impact of Information Communications Technology, particularly with respect to promoting food security in Nigeria, have been engendered mainly by the need to ensure greater agricultural outputs among farmers and other agriculturists. However, only scanty attention had been devoted to the need to understand the imperativeness of the use of Information Communications Technology in the quest to proffer solutions to the incessant farmers-herdsmen conflicts that have also contributed to the unpalatable state of food security in Nigeria. …”
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EPRNG: Effective Pseudo-Random Number Generator on the Internet of Vehicles Using Deep Convolution Generative Adversarial Network by Chenyang Fei, Xiaomei Zhang, Dayu Wang, Haomin Hu, Rong Huang, Zejie Wang

“…However, interference from actual unpredictable driving environments renders the system unreliable for its low-randomness outputs. Furthermore, dynamics in the training process make these methods subject to training instability and pattern collapse by overfitting. …”
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Predicting water level fluctuations in glacier-fed lakes by ensembling individual models into a quad-meta model by Shoukat Ali Shah, Songtao Ai, Hanxiao Yuan

“…The study introduces a novel quad-meta (QM) ensemble model that integrates outputs from four machine learning models – extreme gradient boosting (XGB), random forest (RF), gradient boosting machine (GBM), and decision tree (DT) – through meta-learning to improve the prediction accuracy for water levels under complex environmental conditions. …”
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Need for judicious selection of runoff inputs in a global flood model by Jayesh Parmar, Mohit Prakash Mohanty, Subhankar Karmakar

“…Moreover, the utilization of a single runoff input into a GFM can produce biased and misinterpreted flood hazards due to underestimation or overestimation of GFM outputs. To highlight these implications, the present study examines GFM simulations forced with eight state-of-the-art model runoff datasets, including LSMs, GHMs, and reanalysis observations, uncovering unsafe inter-model flood depth variation (IMDV). …”
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