E-Blue: Implementation of an Integrated Blue Economy Ecosystem to Increase Coastal MSMEs Competitiveness by Tito Aditya Perdana, Nanda Adhi Purusa, Rudi Kurniawan, Tito Wira Eka Suryawijaya

“… Introduction/Main Objectives: This study aims to determine the implementation and the right business strategy for sustainable fisheries that adopt the "E-Blue" blue economy ecosystem model. …”
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The long-run anthropogenic incidence on climate change, air pollution, water scarcity, and contribution to global warming in Morocco by Hamdi El Asli, Mohamed Azeroual

“…CC affects everyday life, with 86% of Moroccan respondents indicating its impact (more details in Introduction). Methods: By setting four different pieces of emiprical evidence, to test the annual fluctuations of the same STIRPAT determinants on, CC through CO2 emissions, Atmospheric pollution by GHGs emissions, freshwater scarcity via internal freshwater whithdrawals and the share of Morocco’s contribution to global warming (CGW), from 1965 to 2023, with the ARDL, DOLS, FMOLS and CCR cointegration approaches. …”
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Intelligent controller design of an autonomous system using a social spider optimizer for path navigation and obstacle avoidance by Naimul Hasan, Huma Khan, Shahida Khatoon, Mohammad Sajid

“…The performance of the proposed method is compared with FLC and methods like PSO and CSO. …”
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Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques. by Apichat Suratanee, Panita Chutimanukul, Tanapon Saelao, Supachitra Chadchawan, Teerapong Buaboocha, Kitiporn Plaimas

“…In this study, we employed hyperspectral imaging combined with machine learning techniques to determine the levels of total phenolic contents in Thai holy basil. …”
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Territorial capital as a driver of regional competitiveness: A theoretical framework by Andrejević Panić Andrea, Cvetanović Slobodan

“…The results of the research indicate that the improvement of regional competitiveness largely depends on the efficient and effective utilization of available territorial capital. …”
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Institutional Quality in Central and East European Countries and Its Impact on FDI Inflow by Tomasz Dorożyński, Bogusława Dobrowolska, Anetta Kuna-Marszałek

“…The results may be interesting for policymakers and may have an application value for institutions. An efficient and effective institutional system may importantly contribute to the boosting of investment attractiveness of countries and impact FDI flows. …”
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Data-driven bottleneck detection on Tehran highways by Hamid Mirzahossein, Pedram Nobakht, Iman Gholampour

“…Identifying and mitigating persistent traffic bottlenecks is crucial for developing efficient transportation systems and guiding infrastructure planning decisions. …”
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Self-Supervised Multi-Task Learning for the Detection and Classification of RHD-Induced Valvular Pathology by Lorna Mugambi, Ciira wa Maina, Liesl Zühlke

“…This study investigated the use of self-supervised multi-task learning for automated echocardiographic analysis, aiming to predict echocardiographic views, diagnose RHD conditions, and determine severity. We compared two prominent self-supervised learning (SSL) methods: DINOv2, a vision-transformer-based approach known for capturing implicit features, and simple contrastive learning representation (SimCLR), a ResNet-based contrastive learning method recognised for its simplicity and effectiveness. …”
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Investigation of Radiation Isocenter Accuracy of Linear Accelerator – New Approach of Comprehensive Evaluation of Gantry, Couch, and Collimator Isocenters by Avinash Kuppa Rao, Manikandan Palanisamy, G. V. Subrahmanyam, S. P. Swathi, Tamilarasan Mani

“…Although several radiation isocenter verification devices exist, there is no time-efficient system available for verifying the combined radiation isocenter. …”
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Machine learning to predict the source of campylobacteriosis using whole genome data. by Nicolas Arning, Samuel K Sheppard, Sion Bayliss, David A Clifton, Daniel J Wilson

“…Providing generalizable computationally efficient methods, based upon machine learning and population genetics, we provide a scalable approach to global disease surveillance that can continuously incorporate novel samples for source attribution and identify fine-scale variation in transmission potential.…”
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Adaptive Channel Division and Subchannel Allocation for Orthogonal Frequency Division Multiple Access-Based Airborne Power Line Communication Networks by Ruowen Yan, Qiao Li, Huagang Xiong

“…Concurrently, the subchannel allocation algorithm employs a novel metric, the Subchannel Preference Score (SPS), which factors in both the signal quality and the current occupancy levels of each subchannel to determine their optimal allocation among nodes. This method ensures efficient resource utilization and maintains consistent network performance. …”
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DFT-guided synthesis of N, B dual-doped porous carbon from saccharina japonica for enhanced oxygen reduction catalysis by Junjie Zhang, Chao Wu, Jilong Wang, Maosong Xia, Shixin Li, Long Liu, Wuguo Wei, Xing Peng

“…IntroductionThe oxygen reduction reaction (ORR) is a crucial determinant of the energy transformation capacity of fuel cells. …”
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Reinforced Concrete under the Action of Carbonization and Chloride Aggression: a Probabilistic Model for Service Life Prediction by S. N. Leonovich, E. E. Shalyi, L. V. Kim

“…The paper proposes a method for predicting a complex degradation of reinforced concrete structures with due account of various mechanisms of corrosion wear that allows to develop efficient methods for improvement of structure durability and maintainability which are operated in the marine environment. …”
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A systematic review of plastic wastes as new adsorbents for dye removal in aqueous environments by Asiyeh Moteallemi, Samira Taherkhani, Ali Ahmadfazeli, Mohammad Hadi Dehghani

“…We examined factors, such as salinity, pH, temperature, and physical–chemical properties, including particle size and surface area, to determine their effects on the dye adsorption efficiency of various plastics. …”
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Subsurface Cavity Imaging Based on UNET and Cross–Hole Radar Travel–Time Fingerprint Construction by Hui Cheng, Yonghui Zhao, Kunwei Feng

“…As a significant geological hazard in large–scale engineering construction, deep subsurface voids demand effective and precise detection methods. Cross–hole radar tomography overcomes depth limitations by transmitting/receiving electromagnetic (EM) waves between boreholes, enabling the accurate determination of the spatial distribution and EM properties of subsurface cavities. …”
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Technical and economic assessment of the parameters of thermal schemes of thermal power plants with a hydrogen generator by G. E. Marin, B. M. Osipov, A. R. Akhmetshin

“…The studies carried out show that a change in the component composition of the gas affects the energy characteristics of the engine. The method for determining the quantitative composition of COx, NOx, SOx in the exhaust gases of a gas turbine plant is presented. …”
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MB-AGCL: multi-behavior adaptive graph contrast learning for recommendation by Xiaowen lv, Yiwei Zhao, Zhihu Zhou, Yifeng Zhang, Yourong Chen

“…Furthermore, we propose an efficient adaptive graph augmentation method that integrates graph augmentation with down-stream tasks to reduce the impact of popularity bias. …”
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Application of MobileNetV2 and SVM Combination for Enhanced Accuracy in Pneumonia Classification by Eka Putra Agus Meindiawan, Muljono Muljono

“…In conclusion, the choice of feature extraction method plays an important role in determining the accuracy of an automated diagnostic system. …”
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Short-Term High-Intensity Interval Training on Body Composition and Blood Glucose in Overweight and Obese Young Women by Zhaowei Kong, Shengyan Sun, Min Liu, Qingde Shi

“…Methods. Eighteen subjects completed 20 sessions of HIIT or MICT for five weeks. …”
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Using Social Media to Engage and Enroll Underrepresented Populations: Longitudinal Digital Health Research by Christiana Harry, Sarah Goodday, Carol Chapman, Emma Karlin, April Joy Damian, Alexa Brooks, Adrien Boch, Nelly Lugo, Rebecca McMillan, Jonell Tempero, Ella Swanson, Shannon Peabody, Diane McKenzie, Stephen Friend

“…ObjectiveThis study aims to (1) characterize socioeconomic and demographic differences in individuals who enrolled and engaged with different remote, digital, and traditional recruitment methods in a digital health pregnancy study and (2) determine whether social media outreach is an efficient way of recruiting and retaining specific underrepresented populations (URPs) in digital health research. …”
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