Business Environment in Kazakhstan: Assessing Infrastructure Availability by D. Z. Rakhmatullayeva, T. V. Kudasheva, D. A. Kaldiyarov, R. U. Urinboyev, A. B. Khajiyeva

“…The analysis of SMEs' problems with access to infrastructure highlighted bureaucracy and difficulties in obtaining permits, high wear and tear of networks, and high connection costs as the main issues. …”
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Research on prediction algorithm of effluent quality and development of integrated control system for waste-water treatment by JianWun Lai

“…The present study presented a prediction algorithm and an Integrated Control System (ICS) to address the problems of conventional methods. This research proposes a Deep Learning (DL) for the quality of wastewater prediction that employs a Quantile Regression-Random Forest (QR-RF) meta-learner when combined with Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRU). …”
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A New Post‐Hoc Method to Reduce the Energy Imbalance in Eddy Covariance Measurements by Weijie Zhang, Jacob A. Nelson, Diego G. Miralles, Matthias Mauder, Mirco Migliavacca, Rafael Poyatos, Markus Reichstein, Martin Jung

“…We apply our method to 172 flux tower sites and show that we can reduce the energy imbalance from −14.99 to −0.65 W m−2 on average, together with improved consistency between turbulent fluxes and available energy and associated increases in r2 at individual sites and across networks. …”
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A Novel Over-The-Air Measurement Method for Linear Frequency Modulation Signals Using Continuous Wave Receiver by Sungpil Cheon, Byungkwan Kim

“…The findings suggest the method’s potential for real-time applications, including cooperative and networked radar systems, where OTA measurements are essential for efficient operation.…”
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Determining the efficiency of local heat recycling wastewater based on a heat exchanger by V. A. Kunitskiy, S. V. Lukin

“…At the moment in Russia, almost all household wastewater is disposed of in sewer networks without the beneficial use of the heat that they possess. …”
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Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches by Nadenlla RajamohanReddy, G. Muneeswari

“…Conditional Tabular Generative Adversarial Network (CTGAN) is used to tackle class imbalance problems. …”
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Simulation-based inference of surface accumulation and basal melt rates of an Antarctic ice shelf from isochronal layers by Guy Moss, Vjeran Višnjević, Olaf Eisen, Falk M. Oraschewski, Cornelius Schröder, Jakob H. Macke, Reinhard Drews

“…We solve the inverse problem using simulation-based inference (SBI). SBI performs Bayesian inference by training neural networks on simulations of the forward model to approximate the posterior distribution, therefore also quantifying uncertainties over the inferred parameters. …”
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Exploring the Role of Material Science in Advancing Quantum Machine Learning: A Scientometric Study by Manish Tomar, Sunil Prajapat, Dheeraj Kumar, Pankaj Kumar, Rajesh Kumar, Athanasios V. Vasilakos

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Integration of electric vehicle charging stations with distributed generation using multi-objective metaheuristic optimization by Aya Desoky Gaber, E.M. Abdallah, M.I. Elsayed, Ahmed Abdelbaset

“…The growing adoption of Electric Vehicles will lead to an increase in the number of charging stations, which can introduce several problems to power distribution networks. Research on incorporating Distributed Generators (DGs) and Electric Vehicle Charging Stations (EVCS) into radial distribution systems (RDS) is expanding to enhance voltage profiles, reduce losses, meet growing power demands, and raise the voltage stability index (VSI). …”
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Utilization of a bioinspired algorithm for optimum reservoir operation in an altering climate a case study of China by Qiong Li, Hang Zhou, Ali Shirzad

“…The method described enhances water security and can be made to work in climate-variable regions. The average reduction is from 8.43 to 31.66% depending on the scenario, indicating reduced annual inflow. …”
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Barriers to sustainable green innovation in meeting the challenges of the global economy of firms by A. Escobar, J. Luna, A. Caraballo

“…Consequently, understanding the barriers faced by companies in achieving sustainable innovation, such as high initial cost, lack of technical knowledge, or unclear regulations, is important for developing appropriate policies, strategies, and solutions that promote and facilitate its adoption.METHODS: This study aims to analyze the relevant and most important scientific evidence and research topics on barriers to sustainable innovation through a bibliometric analysis combined with concurrence networks and cluster analysis using VOSViewer.FINDINGS: Research on barriers to innovation was developed on a larger scale in 2012 with an average growth of approximately 43 percent until 2022. …”
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HSN—helping in mental distress: a new emotion focused psychological first aid program by Marina Scheele, Sandra Appel, Isabelle Rausch, Martin Schecklmann, Jakob Klein, Susanne Staudinger, Roger Schmidt, Peter M. Kreuzer, Berthold Langguth

“…Psychological first aid programs aim to train lay people to help others who are experiencing a mental health crisis or developing mental health problems. The current article introduces the new German psychological first aid training program HSN. …”
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Evaluation of Color Difference Models for Wide Color Gamut and High Dynamic Range by Olga Basova, Sergey Gladilin, Vladislav Kokhan, Mikhalina Kharkevich, Anastasia Sarycheva, Ivan Konovalenko, Mikhail Chobanu, Ilya Nikolaev

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Short text automatic scoring system based on BERT-BiLSTM model by XIA Linzhong, YE Jianfeng, LUO De’an, GUAN Mingxiang, LIU Jun, CAO Xuemei

“…The experimental results show that compared with other benchmark models of convolutional neural networks(CNN), character-level CNN (CharCNN), long short-term memory (LSTM) and BERT, the short text automatic scoring model based on BERT-BiLSTM achieves the best average value of quadratic weighted kappa coefficient.…”
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Cities in transition: Krakow‘s social, economic and spatial transformation within the last thirty years (selected aspects) by Anna Karwińska, Dorota Jopek, Michał Kudłacz, Michał Wiśniewski

“…The world has become a networked and digitized entity susceptible to the influence of innovation. …”
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Assessing social cognition and risk-taking behaviour in patients with young-onset dementia: Study protocol for the YOD-RiSoCo observational prospective cohort study. by Floor Gelmers, Rients B Huitema, Myrthe E Scheenen, Barbara C van Munster, Jacoba M Spikman, YOD-INCLUDED Consortium

“…These symptoms are often under-recognized, delaying the diagnosis and contributing to psychosocial problems. Impairments in social cognition (SC), an important affected domain in bvYOD, underlie these social behavioural changes. …”
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La gestion de l’eau à Bibracte (Saône-et-Loire), avant et après la Conquête romaine by Laetitia Borau

“…In addition, rainfall analysis proves that this sector of Burgundy is one of northern France with the highest rainfall. It rains on average one day out of two. This explains the importance of the network of water evacuation, which was one of the main problems faced by the inhabitants of Bibracte. …”
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The Impact of Research-Based Learning and Institutional Support on Student Research Productivity at Madrasah Aliyah Negeri in Jakarta, Indonesia by Farida Hanun, Onok Yayang Pamungkas, Suprapto Suprapto, Achmad Dudin, Wakhid Kozin, Lisa'diyah Ma'rifataini

“… Student research productivity can be an indicator of the success of the implementation of research-based education in madrasas. However, problems in optimizing research learning, as well as the lack of structural support from madrasas, still affect the level of student involvement in scientific research. …”
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Quantum secured blockchain framework for enhancing post quantum data security by Nalavala Ramanjaneya Reddy, Supriya Suryadevara, K. Guru Raghavendra Reddy, Ramisetty Umamaheswari, Ramakrishna Guttula, Rajitha Kotoju

“…Abstract Quantum computing is an evolution of classical computing, capable of solving problems that are competitive enough to break the existing cryptographic primitives upon which current blockchain systems are based. …”
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Cyber security Enhancements with reinforcement learning: A zero-day vulnerabilityu identification perspective. by Muhammad Rehan Naeem, Rashid Amin, Muhammad Farhan, Faisal S Alsubaei, Eesa Alsolami, Muhammad D Zakaria

“…Results The results demonstrate the effectiveness of reinforcement learning models in solving complex problems and suggest that the model improves in accuracy with more training data added.…”
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