Plant-based chitosan for the development of biodegradable packaging materials by Adity Bahndral, Rafeeya Shams, Pintu Choudhary

“…Additionally, it discusses the crucial characteristics of chitosan that make it convenient for high value-added functions in the food industry. To sum up, plant-based chitosan films have the potential to completely transform the packaging sector by providing environmentally friendly substitutes for traditional materials. …”
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Strategies for Digital Economy Operation of Urban Parks Guided by Gamification Methods by Zhaochen WANG

“…As a dynamic form of the digital economy, video games are exerting a significant radiating effect on the consumer service and cultural tourism sectors. This research explores the use of gamification methods to provide new ideas for digital economy operation of urban parks, with a view to seizing these emerging opportunities and unlocking the diverse values of urban parks.MethodsThe positive value of games is gaining wider recognition and serving as an important cultural and artistic medium across more interdisciplinary fields. …”
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A Comparative Study of Machine Learning Models for Accurate E-Waste Prediction by Mohammed Algafri, Mohammed Sayad, Mohammad A.M. Abdel-Aal, Ahmed M. Attia

“…This study evaluates six Machine Learning (ML) models, Linear Regression, Regression Tree, Support Vector Regression, Ensemble Regression, Gaussian Process Regression (GPR), and Artificial Neural Networks, for e-waste forecasting. …”
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Landscape Planning and Design of Urban Rivers with Environmental Approach (Case Study: Farahzad River Valley in Tehran) by Zahra Sadrazamnouri, Jafar Nouri, Farah Habib, Mojtaba Rafieian

“…Using cluster analysis, the values of initial indices were classified and entered in SPSS software. …”
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Multi-Index Assessment of Hydrometeorological Droughts in the Tekeze River Basin, Northwestern Ethiopia by Teame Yisfa, Mulugeta Tekleyohannes, Berhane Grum, Shishay Yemane, Gebremeskel Teklay Berhe, Haddush Goitom, Bizuneh Asfaw Abebe

“…Drought is a recurring natural hazard impacting agriculture, water resources, and various socioeconomic sectors. This study evaluated the performances of multiple meteorological and hydrological drought index estimation methods in the Tekeze River basin, northwestern Ethiopia. …”
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Analysis of the Effect of D-Limonene on the Viscosity Reduction of Heavy Crude Oils Using FTIR-ATR Spectroscopy by Julian Sanabria, Cristian Gonzalez, Jose Reyes, Juan Orozco-Agamez, Emiliano Ariza, Adan Leon-Bermudez

“…Specifically, D-Limonene, an extract from citrus fruits was utilized in this study, given its growing interest in various sectors of the hydrocarbon industry. Additionally, four heavy crude oils were selected for the preparation of the mixtures, identified as C1, C2, C3 and C4 with API gravity values ??…”
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RESEARCH INTO THE AERODYNAMICS OF AIR FLOWS IN CYCLONES by V. Petrov, А. Аlеksashyn, S. Poznar

“…Human health is of high value, therefore, with the development of industry, the requirements for the impact on ecology and occupational safety and health ohs, including air quality, are increasing. …”
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Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

“…The Recurrent Neural Network provided the highest accuracy 0.99 and a recall value 0.98 for the temporalis muscle dataset. The other eight classifiers have provided accuracies in descending order such as Convolutional Neural Network, Long Short-Term Memory, k-Nearest Neighbors, and Decision Tree 0.98; Logistic Regression 0.96; Support Vector Machine 0.97, and Naïve Bayes 0.89, respectively. …”
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Developing an Artificial Neural Network-Based Grading Model for Energy Consumption in Residential Buildings by Yaser Shahbazi, Sahar Hosseinpour, Mohsen Mokhtari Kashavar, Mohammad Fotouhi, Siamak Pedrammehr

“…This study introduces a multi-layer perceptron artificial neural network (ANN) model to grade and predict energy consumption levels in residential buildings in Tabriz, Iran, based on their geometric and functional characteristics. This study uses the K-Nearest Neighbors (KNN) algorithm to classify energy consumption grades based on energy ratio (R-value). …”
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Impact of Shari’ah and Corporate Governance on Islamic Banks Performance: Evidence from Pakistan by Asia Rani, Samina Bibi, Syed Burhan Gilani, Junaid Shahid

“…The results presented in this study can be beneficial for Pakistan’s policymakers and those authorities that regulate IFIs. Originality/value: This research enhances the stock of knowledge on Shari’ah governance, corporate governance and their effects on financial performance in the context of Pakistan’s Islamic banking sector. …”
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Sustainable Design and Evaluation of Children’s Food Packaging from the Perspective of Buyers’ Preferences by Ying Xiao, Yihan Wang, Yangyang Wei

“…Building on the optimal Scheme S1, this study comprehensively considers key elements such as eco-friendliness, safety, functionality, and educational value in the optimization of a sustainable design for children’s fruit puree packaging. …”
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PROFESSIONAL COMPETENCE STRUCTURE OF FUTURE BACHELORS OF RAILWAY TRANSPORT IN PROFESSIONAL TRAINING by А. Гребеник

“…Thus, the professional competence components of future bachelors of railway transport are identified, namely: motivational-value, personal-functional, reflexive-evaluative. …”
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Integrating a risk-oriented approach into bank investment management under market volatility by V. V. Shlonchak

“…The study applies a structural-functional approach, economic-mathematical modeling, sensitivity analysis, and standardization of risk and return indicators. …”
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Scalable and Sustainable Blockchain: Architecting Infrastructure and Developing a Platform for Efficient Management and Exploration by Pedro Silva, Tiago Guimaraes, Ricardo Duarte, Manuel Filipe Santos

“…The application of blockchain technology in the health and healthcare sector is considered disruptive, thus requiring trust, integrity, and value of data. …”
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FEATURES OF PUBLIC ENTERPRISE AS ONE OF THE TYPES OF A JOINT-STOCK COMPANY by Y. O. Almayeva, K. G. Tokareva

“…Taking into account the impossibility to research and solve the stated tasks by using the sector legal matter only, we have broadly used the private scientific approaches – the formal-logical, comparative-legal, etc. …”
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THE DEVELOPMENT OF CORPORATE CULTURE OF GAS COMPANY BASED ON THE USE OF RESOURCES OF TRAINING CENTRE OF VOCATIONAL EDUCATION (ON THE EXAMPLE OF OJSC «SURGUTNEFTEGAS») by S. P. Zaitseva

“…The brief summary of scientific and statistical sources argumentative for a direct connection between internal culture in corporation and its production indicators: a level of the income, stock value, size of a net profit. Development of a corporate culture of the companies of an oil-and-gas sector of economy ofRussia is considered. …”
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Digitalization of the Financial Activities of Platform Companies: Competitive Potential and social Impact by V. P. Bauer, V. V. Eremin, M. V. Ryzhkova

“…The authors conclude that the basis of the competitive success of platform companies is their ability to expand the scale of activities (as a result of optimizing various types of assets), to minimize costs by involving external users in the process of creating added value, and cross-platform cooperation. The authors recommend that Russian business entities use the experience of foreign platform companies to gain competitive advantages not only in the Russian IT sector but also outside of it. …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

“…Construction Accidents (CA) remain a major concern for occupational safety, especially within high-risk environments such as those found across the expanding construction sector in the Kingdom of Saudi Arabia (KSA). This research introduces an innovative prediction framework that combines signal decomposition with advanced deep learning methods to estimate CA trends. …”
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Spatial Correlation Network Characteristics of Comprehensive Transportation Green Efficiency in China by Qifei Ma, Sujuan Li, Zhenchao Zhang

“…The most significant contribution of this study lies in developing a more comprehensive CTGE evaluation framework and precisely identifying the structural positions and functional roles of different regions within the network, which holds substantial theoretical and practical value for advancing sustainable development in China’s transportation sector.…”
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Private information in public spaces: Facial recognition in the times of smart urban governance by Juliana NOVAES

“…Objectives: This paper aims to discuss the new dilemmas that arrive with the growth of surveillance technologies applied to urban centers and the increasing participation of the private sector in the processing of data whose origin lies within public services. …”
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