Exploring the Potential of Green Microalgae-Based Phycoremediation Treated Wastewater for Sustainable Concrete Production by T. Q. K. Lam, K. S. Sreekeshava, C. Bhargavi, C. R. Ganesh, N. S. Ambale, T. M. D. Do

“…The research aims to optimize microalgae growth conditions, set up nutrient-rich growth chambers, develop biomass separation methods, and assess the effects of microalgae-treated wastewater on concrete. …”
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An enhanced approach for automatic annotation of error codes based on Seq2edit by Jian Wang, Tao Lin, Rongsen Zhao, Huiling Zhao

“…Recently, a code error automatic annotation method based on Seq2edit has been proposed to optimize the dataset. …”
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Becoming a Champion in Exams: A Case Study of Top Performers in Türkiye’s HEIE by Abdullah Atli, Murat Canpolat, Yeliz Yazıcı Demir

“…Through in-depth interviews, we explore four key themes that contribute to their success: personality traits, study strategies, educational background, and sources of support. Our findings offer a nuanced understanding of the factors driving exceptional performance in high-stakes exams, providing valuable implications for educators, policymakers, and students seeking to optimize their preparation for similar competitive assessments.…”
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Analysis of AC winding loss of permanent magnet synchronous traction motor with high power by LI Xiangcheng, WANG Yingchun, NI Wei, WU Nan

“…AC winding loss is the sum of DC winding loss and eddy current loss. The sources, calculation methods and influencing factors of AC winding loss of PMSTM with high frequency and power were studied. …”
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Experience of using telemedicine technologies in healthcare systems of foreign countries and the Russian Federation: systematic review by O. A. Volkova, S. S. Budarin, E. V. Smirnova, Yu. V. Elbek

“…Today, the development and widespread use of digital technologies in medicine is considered as one of the most promising mechanisms for optimizing costs and improving the efficiency of healthcare and the quality of life of the aging society.Objective: to study the experience of using telemedicine technologies for providing medical care in the health systems of different countries, including the Russian Federation.Material and methods. …”
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Social Factors Influencing Healthcare Expenditures: A Machine Learning Perspective on Australia’s Fiscal Challenges by Wei Gu, Zhantian Zhang, Ou Liu

“…While traditional statistical methods struggle to capture complex data relationships, machine learning offers a more robust approach to handling intricate and non-linear data. …”
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Towards Sustainable Campus Development: A Case Study of Klaipeda University by Anne Olga, Mikalauskas Ignas

“…This involves integrating renewable energy sources and smart building systems to improve resource efficiency and encourage sustainable living practices. …”
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A comprehensive review of digital twin in healthcare in the scope of simulative health-monitoring by Mubaris Nadeem, Sascha Kostic, Mareike Dornhöfer, Christian Weber, Madjid Fathi

“…The availability of new data sources raises the potential for developing structured approaches for prediction and analysis. …”
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Assessing Staffing Needs in the Maintenance Department of a Tertiary Care Teaching Hospital Using Workload Analysis by Alvita Lurdin Saldanha, Shyni Cardoza, Jyothi Seema Moras, Sonal Sophia Fernandes

“… Background Effective staffing in hospital maintenance departments is crucial for ensuring smooth operation of healthcare facilities and maintaining high-quality patient care. However determining optimal staffing levels can be challenging due to various factors such as workload fluctuations skill mix and budget constraints.Objective This research aimed to provide a comprehensive assessment of staffing needs in the hospital maintenance department by conducting a workload analysis and applying insights from these studies ultimately contributing to improved operational efficiency and patient care.Methods Data was collected from 03062024 to 09062024 through direct interviews with staff to assess current work processes biometric attendance reports and other relevant sources.Results The study findings indicate that the maintenance departments actual working hours 9.24 hours day exceed the desired working hours 7.5 hoursday resulting in overtime work 1.7-2 hoursday which affects employee well-being productivity and efficiency. …”
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Sovereignty and territory of the state in the aspect of the problems of constitutionalism: past and present by V. A. Simonov

“…The subject of the research is issues of sovereignty and territory of the state in the light of the problems of constitutionalism, the transformation of scientists' views on the place and role of the territory of the state among the signs of state sovereignty as the main element of the constitutional system and an inalienable property of the state.The purpose of the study is to determine, based on an analysis of the domestic and international legal political and economic situation, the optimal directions for improving the territorial and political organization of Russia.Dialectical-materialistic, comparative-legal, system-structural methods are used in the research.Main results. …”
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Potential strategies for effective utilization of costal cartilage in articular cartilage injury repair by SA Sheleg, AD Kurenkova, ZA Mosina, PS Timashev

“…Background: Joint diseases are one of the leading causes of global disability. Various methods of cartilage repair, including microfracture, mosaic chondroplasty, and autologous chondrocyte transplantation, have been actively studied. …”
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Data enrichment for semantic segmentation of point clouds for the generation of geometric-semantic road models by David Crampen, Joerg Blankenbach

“…This workflow is adaptable to various model architectures, from deep learning methods like PointNet++ and PointNeXt to traditional machine learning models such as Random Forest. …”
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Estimating reach of social impact products: A model to standardize the calculation of product reach in data-scarce settings by Svenja M Jungjohann, Emily Carnahan, Peiman Milani, Cyril Engmann

“…We propose a novel model to support data-driven decision-making in data and budget-constrained settings and use of routine monitoring to ensure progress towards program outcomes and impact. # Methods We present a complete model to estimate product reach of durable and fast-moving consumer products, which includes required inputs, potential data sources, formulas, trade-offs, and assumptions…”
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Population Structure and Size of Early Yekaterinburg (1723-1744) by E. V. Borodina, S. I. Tsemenkova

“…Using quantitative analysis methods and social history approaches, the main social groups of the population were identified and characterized. …”
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Improved Hadamard Decomposition and Its Application in Data Compression in New-Type Power Systems by Zhi Ding, Tianyao Ji, Mengshi Li

“…The proliferation of renewable energy sources, flexible loads, and advanced measurement devices in new-type power systems has led to an unprecedented surge in power signal data, posing significant challenges for data management and analysis. …”
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A detailed analysis of game statistics of professional tennis players: An inferential and machine learning approach. by Michal Bozděch, Dominik Puda, Pavel Grasgruber

“…Tennis, a widely enjoyed sport, motivates athletes and coaches to optimize training for competitive success. This retrospective predictive study examines anthropometric features and statistics of 1990 tennis players in the 2022 season, using 20,040 data points retrospectively obtained from the ATP official source after the end of the season. …”
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Research and application of micro-scale fracture prediction technology for deep coalbed methane based on five-dimensional seismic data by Lei ZHANG, Fengyin XU, Jiangnan TONG, Feng ZHANG, Feng WANG, Wei HOU, Yihang CHANG, Songyi HOU, Xiangbing PEI, Zhenyi CAO, Tong CHEN, Xuefeng LI, Ke ZHOU, Yongzhou LI, Huaibin ZHEN, Wenting ZENG

“…Applying these micro-fracture prediction results guided the optimization and implementation of the horizontal well fracturing plan in the study area in later stages, leading to a significant reduction in the interference ratio from 14.58% in 2023 to 5.23%. …”
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AI-driven epidemic intelligence: the future of outbreak detection and response by Jasleen Kaur, Jasleen Kaur, Zahid Ahmad Butt

“…To address these gaps, we propose an integrated, real-time adaptable LLM-based epidemic intelligence system, capable of correlating cross-source data, optimizing healthcare resource allocation, and supporting informed outbreak response. …”
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http://journal.ie.asm.md/assets/files/07_03_44_2019.pdf by Tatarinova N.V., Sushchikh V.M.

“…Its relevance is due to the necessity to improve calculation methods for cogeneration turbine units since they are still the main source of thermal energy in centralized heat supply systems. …”
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Camellia sinensis phytochemical profiling, drug-likeness, and antibacterial activity against gram-positive and gram-negative bacteria: in vitro and in silico insights by Farouk Boudou, Amal Belakredar, Ahcene Keziz, Huda Alsaeedi, David Cornu, Mikhael Bechelany, Mikhael Bechelany, Ahmed Barhoum, Ahmed Barhoum

“…Future research should focus on in vivo validation, structure-activity optimization, and formulation development to improve bioavailability and clinical applicability.…”
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