APPLICATION OF METHOD BASED ON IN VITRO ANTIBODY QUANTIFICATION IN PBMC SUPERNATANT SAMPLES FOR IMMUNOGENICITY EVALUATION OF A (H5N1) AND A (H5N2) POTENTIALLY PANDEMIC INFLUENZA VA... by I. V. Losev, S. A. Donina, G. D. Petukhova, M. K. Erofeeva, L. G. Rudenko, A. N. Naykhin

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Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV tes... by Binhua Dong, Zhen Lu, Tianjie Yang, Junfeng Wang, Yan Zhang, Xunyuan Tuo, Juntao Wang, Shaomei Lin, Hongning Cai, Huan Cheng, Xiaoli Cao, Xinxin Huang, Zheng Zheng, Chong Miao, Yue Wang, Huifeng Xue, Shuxia Xu, Xianhua Liu, Huachun Zou, Pengming Sun

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Sobrevivência e crescimento do pinhão-manso em função do método de aplicação e formulações de hidrogel Survival and seedling growth of physic nut as a function of method of applica... by João A. L. Dranski, Artur S. Pinto Junior, Marcelo A. Campagnolo, Ubirajara C. Malavasi, Marlene M. Malavasi

“…The analysis with three months data revealed significant effects (p < 0.05) of the tested hydrogel formulations with a linear adjustment for seedling survival from both application methods. …”
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Spike Timing-Dependent Plasticity and Random Inputs Shape Interspike Interval Regularity of Model STN Neurons by Thoa Thieu, Roderick Melnik

“…These insights improve our understanding of how noise and plasticity contribute to neural function and dysfunction, with implications for PD symptom management.…”
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Little Journey: a phase III randomised controlled trial of a psychological preparation and education smartphone application for management of paediatric perioperative anxiety compa... by Gareth Ambler, Daisy Fancourt, Chris Brew-Graves, Norman R Williams, Monty Mythen, Matthew Wilson, Mark Emberton, Mohini Samani, Matthew Fenton, Suneetha Ramani Moonesinghe, Christopher Evans, Georgia Bercades, Cinzia Baldini, Nazma Begum-Ali

“…The trial steering committee and data monitoring committee recommended continuation of the trial, but the sample size was increased to 596 to account for differences between the previously anticipated and actual outcomes of recruited participants.Ethics and dissemination The study was approved by Surrey Borders—Research Ethics Committee 251219, and all participating sites were in England. …”
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Phase Relations in the Pseudo-Binary BiFeO₃–EuFeO₃ System in the Subsolidus Region Derived from X-Ray Diffraction Data—A Machine Learning Approach by Vasile-Adrian Surdu, Romuald Győrgy

“…The instabilities reported for BiFeO₃ that hinder its use in practical applications can be overcome by substitution with rare-earth ions, such as Eu³⁺, on the Bi³⁺ site. …”
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Impact of land resource misallocation on carbon emission efficiency: empirical evidence from 274 cities in China by Zhongqi Wen, Woon-Seek Lee, Sheen Woo

“…IntroductionWith the acceleration of urbanization and the implementation of the “dual carbon” goals, the impact of Land Resource Misallocation (LRM) on Urban Carbon Emission Efficiency (UCEE) has attracted increasing attention.MethodsBased on panel data from 274 Chinese cities during the period 2010–2022, we constructed a LRM index and employed a two-way fixed-effects model to empirically analyze the relationship between LRM and UCEE.ResultsThe results revealed that LRM significantly hindered the improvement of carbon emissions efficiency in cities. …”
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Epidemiology of hepatitis delta virus (HDV) infection and comparison of clinical characteristics and disease progression among patients with HDV vs. hepatitis B mono-infection: rea... by Rawi Hazzan, Clara Weil, Marvin Rock, Moshe Hoshen, Odelia Tassa Liani, Sivan Gazit, Yonatan Green, Chong Kim

“…Trial registration Not applicable.…”
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A FPGA-based Configurable Chassis Parallel Bus Technology by FAN Linbin, LI Miao, TAN Lei

“…In some existing application scenarios, industrial control platforms have expandable requirements for the data space management of chassis parallel bus. …”
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Deviating from the Norm? The Pregnant Body in Scandinavian Health Law by Katharina Ó Cathaoir

“…This article explores how the political ideal of data interacts with the legal entitlement of autonomy in the care of pregnant people guided by feminist theory and critical approaches to data. …”
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Extending LoRaWAN: Mesh Architecture and Performance Analysis for Long-Range IoT Connectivity in Maritime Environments by Nuno Cruz, Carlos Mendes, Nuno Cota, Gonçalo Esteves, João Pinelo, João Casaleiro, Rafael Teixeira, Leonor Lobo

“…A LoRaWAN application architecture comprises three functional components: (i) nodes, which convert and wirelessly transmit data as LoRaWAN messages; (ii) gateways, which receive and forward these transmissions; and (iii) network servers, which process the received data for application delivery. …”
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Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey by Muhammad Arif, Juan Augusto Maya, Narendiran Anandan, Dailys Arronde Perez, Andrea M. Tonello, Hubert Zangl, Bernhard Rinner

“…Resource efficiency is essential for USNs due to 1) the expected long operation time in typically resource-constrained environments, 2) the vast amount of captured and processed data, and 3) the ever-increasing application requirements. …”
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Integrated framework for assessing green efficiency in European union countries: A hybrid ISM-NDEA approach by Afarin Rezaei, Hoda Moradi, Alireza Anvari

“…Recognizing the need for a method to assess environmental and economic efficiency, this study introduces an innovative hybrid approach that combines Interpretive Structural Modeling (ISM) with Network Data Envelopment Analysis (NDEA), offering a refined framework for measuring green efficiency that addresses both environmental and economic dimensions. …”
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Modeling Regional ESG Performance in the European Union: A Partial Least Squares Approach to Sustainable Economic Systems by Ioana Birlan, Adriana AnaMaria Davidescu, Catalina-Elena Tita, Tamara Maria Nae

“…This study aims to evaluate the sustainability performance of EU regions through a comprehensive and data-driven Environmental, Social, Governance (ESG) framework, addressing the increasing demand for regional-level analysis in sustainable finance and policy design. …”
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Corporate governance, tax avoidance, and corporate social responsibility: Evidence of emerging market of Nigeria and frontier market of Pakistan by Nasir Khan, Ogunleye Oluwasegun Abraham, Adegboye Alex, Damilola Felix Eluyela, Iyoha Francis Odianonsen

“…We used a fixed effect regression model to analyze the panel data. From the analysis, we find that corporate social responsibility is positively and significantly associated with tax avoidance in the case of Nigeria. …”
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Optimizing operating room efficiency in robotic‐assisted total knee arthroplasty through manufacturing efficiency principles by Akito Hiraoka, Bart Swinnen, Aline Vandeputte, Willem Franssen, Geert Leirs

“…Abstract Purpose Recent studies have explored the application of manufacturing efficiency principles as a framework for improving operating room (OR) throughput, quality of care and patient outcomes. …”
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Legal Means of Providing the Principle of Transparency of the Artificial Intelligence by Yu. S. Kharitonova

“…It is proved that transparency and explainability of the artificial intelligence technology is essential not only for personal data protection, but also in other situations of automated data processing, when, in order to make a decision, the technological data lacking in the input information are taken from open sources, including those not having the status of a personal data storage. …”
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Image quality assessment by Y. I. Golub

“…With the increase in the number and variety of devices that allow receiving data in various digital formats, as well as the expansion of human activities in which information technology (IT) is used, the need to assess the quality of the data obtained is growing. …”
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Research on High-speed Train Control System Based on Ethernet by Yan XIONG, He HUANG, Siyuan LI, Qing XU

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Support of individual educational trajectories based on the concept of explainable artificial intelligence by I. G. Zakharova, M. S. Vorobeva, Yu. V. Boganyuk

“…As a theoretical basis for the study, the authors relied on the principles of explainable artificial intelligence and their application to the interpretation of data from the educational process and the prediction of educational outcomes. …”
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