Machine-learning based optimizing the neutronic and thermal-hydraulic performance in a VVER-1000 mixed-core as well as fuel burnup assessment by A. Koraniany, G.R. Ansarifar

“…Next, the new UTVS fuel assembly was placed in each fuel assembly position with varying levels of UTVS fuel enrichment. Neutronic parameters were then calculated for each configuration using computational tools. …”
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Biophilic Design in the Built Environment: Trends, Gaps and Future Directions by Bekir Hüseyin Tekin, Gizem Izmir Tunahan, Zehra Nur Disci, Hatice Sule Ozer

“…Regarding biophilic parameters, greenery, daylight, and sensory experience are the most studied parameters, while psychological parameters remain underexplored. …”
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Caries experience, periodontal disease and salivary antioxidants as biomarkers of cardiometabolic syndrome among hospital attendees in a Nigerian suburban setting by Adeniyi Oluwadaisi, Oluwadare Ogunlade, Foluso Owotade, Elijah Olufemi Oyetola, Adetayo Aborisade, Asafa Muritala Abiola

“…The study concluded that oral health parameters and anthropometric parameters can be excellent noninvasive tools for assessing cardiometabolic risk in community medical and dental practice.…”
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Performance and Improvement Analysis of the Underwater WSN Using a Diverse Routing Protocol Approach by K. Sathish, C. V. Ravikumar, Asadi Srinivasulu, A. Rajesh, Olutayo Oyeyemi Oyerinde

“…Underwater wireless sensors are tools that can continuously transmit data to one of the source sensors while also monitoring and recording the physical and environmental parameters of their surroundings. …”
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Basic principles of descriptive statistics in medical research by N. M. Bulanov, A. Yu. Suvorov, O. B. Blyuss, D. B. Munblit, D. V. Butnaru, M. Yu. Nadinskaia, A. A. Zaikin

“…Descriptive statistics provides tools to explore, summarize and illustrate the research data. …”
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Identification and validation of a KRAS-macrophage-associated gene signature as prognostic biomarkers and potential therapeutic targets in melanoma by Beichen Cai, Beichen Cai, Beichen Cai, Qian Lin, Qian Lin, Qian Lin, Ruonan Ke, Ruonan Ke, Ruonan Ke, Jiaqi Yu, Jiaqi Yu, Jiaqi Yu, Lu Chen, Lu Chen, Xuejun Ni, Xuejun Ni, Hekun Liu, Xiuying Shan, Xiuying Shan, Biao Wang, Biao Wang, Biao Wang

“…The KMPAG gene signature presents a novel prognostic tool, offering insights into personalized treatment strategies and predictive biomarkers for immunotherapy in SKCM. …”
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Optimisation and clinical validation of a metagenomic third-generation sequencing approach for aetiological diagnosis in bronchoalveolar lavage fluid of patients with pneumoniaRese... by Shanshan Zhang, Xi Li, Xia Li, Ying Fu, Long Chen, Wei Wang, Qinqing Lin, Hui Lou, Yake Yao, Wenyu Chen, Cheng Zhong, Jian Ye, Yinan Yao, Huimin Guo, Yunsong Yu, Hua Zhou

“…Summary: Background: Metagenomic Third Generation Sequencing (mTGS), based on nanopore technology, has emerged as a promising tool for the rapid diagnosis of pneumonia pathogens. …”
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ORGANIZATIONAL AND ECONOMIC MECHANISM FOR IMPROVING THE QUALITY OF HUMAN RESOURCES OF THE REGION by E. A. Ostapenko

“…The quality of human resources in socio-economic systems, as well as tools aimed at the formation of qualitative parameters, form the problem of improving the economic mechanism for improving the quality of human resources in modern conditions, which should take into account the management goals, the state and prospects for the development of quality parameters of the system elements, to ensure the effective functioning of the conceptual model of quality management of human resources.…”
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Competitiveness of city geo-brand assessment: selecting the research methodology by I. Yu. Aleksandrova

“…The article studies the problem of selecting the research methodology of a city geo-brand in order to identify the optimal methodological tools for assessing its competitiveness. The author’s interpretation of a city geo-brand concept has been offered, the features of a city geo-brand concept choice, algorithm of its assessment, and evaluation parameters diagnostics methods analyzed. …”
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FUZZY ADAPTIVE CONTROL OF GRAIN COMBINE by Dmitry Yakovlevich Parshin, Denis Gennadyevich Shevchuk

“…The solution to the problem on the adaptive control of the motion path and combine tools loading based on fuzzy logic inference is considered. …”
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OPUS-BFactor: Predicting Protein B-Factor with Sequence and Structure Information by Yulu Yang, Ying Lv, Zhenwei Luo, Qinghua Wang, Gang Xu, Jianpeng Ma

“…In this work, we introduce OPUS-BFactor, a tool for predicting the normalized protein B-factor. …”
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Design and simulation of a simple greenhouse solar dryer and peltier thermoelectric module under independent and combined operating conditions by A GokulRaj, S Padma, R Mohan

“…A simple solar greenhouse dryer and Peltier thermoelectric cooling was designed and studied using COMSOL and EJS tool. The performance study integrating both systems was analysed and reported. …”
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Pharmaceutical Market Access: current state of affairs and key challenges – results of the Market Access Launch Excellence Inventory (MALEI) by Marcus A. Koch

“…The concept of importance-adjusted implementation levels as a hybrid parameter was introduced and shown to be a viable tool for benchmarking purposes. …”
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VVC coded distortion prediction model based on frame-level transform coefficient modeling of generalized Gaussian distribution by Yiyin GU, Hongkui WANG, Haibin YIN

“…In versatile video coding (VVC), a variety of advanced coding tools work together to achieve excellent coding performance.Compared with high efficient video coding (HEVC), the transform coefficient distribution (TCD) of VVC has sharper peaks.In order to solve this phenomenon, the probability density function (PDF) of frame-level TCD was modeled, and a frame-level coding distortion prediction model based on statistical modeling was proposed, which modeled frame-level distortion as a function of TCD distribution parameters and quantization parameters.The experimental results show that compared with the Laplace distribution and Cauchy distribution, the generalized Gaussian distribution has the best performance in TCD probability density fitting.The prediction results based on the generalized Gaussian distribution distortion prediction model are closest to the actual coding distortion.…”
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Earlywood and latewood density in pines from northern subtropical China exhibit distinct and robust climate signals by Huiming Song, Xueli Zeng, Yu Liu, Jesper Björklund, Changfeng Sun, Yifan Ma, Quan Zhang, Pei Li, Xuan Wu, Qiang Li

“…Tree-ring densitometric parameters are essential tools in ecological and climate change studies. …”
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Analysis of archive formats and program solutions for compression of text files by Artem Perepelitsyn, Alona Chepelevych, Andrii Litvinov

“…Compression parameters of the text with use of the same archive formats using different software tools are investigated. …”
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Relationship between fractional exhaled nitric oxide, asthma control test, and spirometry measurement in individuals with asthma receiving treatment by Arthana Kanagaraj, Santhiya Ramachandran, Pajanivel Ranganadin, Akila Mohan

“…Correlations between these parameters were analyzed using Pearson's correlation and t-tests. …”
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Graph Entropy of Some Special Chemical Graphs by B. I. Andrew, A Anuradha

“…Graph descriptors are the essential tools in the graph theory to study about these physico-chemical properties.  …”
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Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis. by Yukako Yamane, Yuzhe Li, Keita Matsumoto, Ryota Kanai, Miles Desforges, Carlos Enrique Gutierrez, Kenji Doya

“…OptiNiSt includes the following features. 1) Researchers can easily create analysis pipelines by selecting multiple processing modules, tuning their parameters, and visualizing the results at each step through a graphic user interface in a web browser. 2) In addition to pre-installed tools, new analysis algorithms can be easily added. 3) Once a processing pipeline is designed, the entire workflow with its modules and parameters are stored in a YAML file, which makes the pipeline reproducible and deployable on high-performance computing clusters. 4) OptiNiSt can read image data in a variety of file formats and store the analysis results in NWB (Neurodata Without Borders), a standard data format for data sharing. …”
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International experience of long-term budget projections: national and subnational levels by N. E. Barbashova, A. N. Komarnitskaya

“…Prospects for the study consist in studying methodological solutions for forecasting budget parameters and developing tools for the regions of the Russian Federation for calculating indicators of long-term budget projections.…”
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