Assessing public support for air pollution mitigation and control policies: health, socioeconomic, and ideological predictors in an overburdened and vulnerable region of the U.S. by Gilda Zarate-Gonzalez, Paul Brown, Ricardo Cisneros

“…Concerns included the costs, charge and attributes of adopting hybrid or electric vehicles. Residents supported air pollution control and public space preservation, with socioeconomic factors and health state being significant predictors. …”
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Trabajo significativo y condiciones laborales en el Tercer Sector. Un enfoque crítico para la reflexión desde una revisión teórica by Pedro Salguero González

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Systematic literature review on the theory of Social Embeddedness of Thriving at Work by Listya Istiningtyas, Debora E. Purba, Elizabeth K. Poerwandari, Bagus Takwin, Mirra N. Milla

“…Contribution/value-add: This research uniquely advances the SEMTW model by integrating modern workplace dynamics, such as digitalisation and hybrid work environments, offering insights for theoretical and organisational applications.…”
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Designing Gold Nanoparticle-Ensembles as Surface Enhanced Raman Scattering Tags inside Human Retinal Cells by Sanda Boca, Dumitrita Rugina, Adela Pintea, Nicolae Leopold, Simion Astilean

“…Typically, SERS tags are hybrid nanoconstructs consisting in a unique plasmonic nanoobject encoded with specific reporter molecules and enveloped in a protective shell that provides both biocompatibility and targeting function. …”
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Percepciones de los arquitectos jóvenes mexicanos sobre su espacio de trabajo durante la pandemia de covid-19: una perspectiva de género sobre las experiencias de distanciamiento f... by Teresa Cuerdo-Vilches, Maribel Jaime-Torres, Mónica Aguilera-Portillo, Miguel Ángel Navas-Martín

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Consensus document on the management of wound closure in orthopaedic surgery by Pablo Sanz-Ruiz, José Ramón Caeiro-Rey, Juan Carlos Martínez-Pastor, José Luis Martín-Alguacil, Antonio Murcia-Asensio, Jesús Moreta

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Apriori algorithm based prediction of students’ mental health risks in the context of artificial intelligence by You Fu, Fang Ren, Jiantao Lin

“…This study investigates the application of artificial intelligence (AI) techniques for predicting student mental health risks.MethodsA hybrid predictive model, Prophet-LSTM, was developed. …”
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Cybersecurity of the municipal infrastructure by S. V. Kaliakin, Yu. M. Onishchenko, V. V. Nosov

“…Particular attention has been paid to the problems of safe automation of modern city management processes such as automation of traffic control systems, environmental monitoring systems, financial systems, power grids, water and gas supply systems, communication systems, and control systems for wastewater treatment plants. …”
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Recent Advancements in Localization Technologies for Wireless Capsule Endoscopy: A Technical Review by Muhammad A. Ali, Neil Tom, Fahad N. Alsunaydih, Mehmet R. Yuce

“…This study is self-contained as it offers a comprehensive overview of emerging localization techniques based on magnetic field, radio frequency (RF), video, and hybrid methods. A summary at the end of each method is provided to point out the potential gaps and give directions for future research. …”
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The Impact of Enterprise Resource Planning on Operational Performance through Supply Chain Orientation in Faradaneh Company by Abbas Ghaedamini Harouni, Meysam Babaeefarsani, Mehrdad Sadeghi De Cheshmeh, Gholam Reza Maleki Farsani

“…The questionnaire was implemented through the participation of 135 managers and employees of Faradana company who were selected by stratified random sampling after measurement of validity (face and content validity based on Lawshe's method, confirmatory and exploratory factor analysis, convergence, and divergence) and reliability (Cranach's alpha method and hybrid).Findings: The results showed that ERP had a significant and strong effect on the OP of Faradaneh company by mediating the SCO, indicating the high predictive power of the ERP components (With a coefficient of determination of 0.93). …”
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High-performance traffic volume prediction: An evaluation of RNN, GRU, and CNN for accuracy and computational trade-offs by Pranolo Andri, Saifullah Shoffan, Bella Utama Agung, Wibawa Aji Prasetya, Bastian Muhammad, Hardiyanti P Cicin

“…Future work will explore hybrid architectures and optimization strategies to enhance further predictive accuracy and computational feasibility for urban traffic management.…”
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Row Spacing, Landscape Position, and Maize Grain Yield by Gustavo Ángel Maddonni, Joaquín Martínez-Bercovich

“…Two experiments were conducted (2006/07 and 2007/08) at different landscape positions in the Inland Pampas of Argentina. Hybrid DK190MG was grown at the commonest plant density used at each landscape position (approximately 5.1 plants/m2 at the summit, 6.5 plants/m2 at shoulder-slope position, and 7.6 plants/m2 at foot-slope position) with three row spacings (0.38 m, 0.52 m, and 0.38 m in a 2×1 skip-row pattern). …”
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Research on Safe Driving Evaluation Method Based on Machine Vision and Long Short-Term Memory Network by Dongmei Shi, Hongyu Tang

“…Based on convolutional neural networks (CNNs), attention mechanism (AM) is integrated into a long short-term memory (LSTM) neural network structure, and the hybrid dual-stream AM-LSTM convolutional network channel is designed. …”
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Bioinformatics Analysis of Exercise-Related Biomarkers in Diabetes by Xiaoju Bao, Jingyue Qiu, Qin Xuan, Xinming Ye

“…Afterward, three hub genes (HSPA8, STIP1, and HSPH1) were highly expressed after exercise through the box plot analysis. Conclusion. A myriad of research results confirms that there is a certain connection between exercise and diabetes, which provides a favorable basis for emerging exercise into the treatment of diabetic patients.…”
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Driving Innovation to Support Pupils with SEND Through Co-Production in Education and Research: Participatory Action Research with 22q11.2 Deletion Syndrome Families in England by Michelle Jayman, Sophie Edmonds, Maria Gudbrandsen

“…Data were collected through semi-structured interviews, and a hybrid inductive-deductive thematic analysis was conducted. …”
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EFFECT SIGNIFICANCE ASSESSMENT OF THE THERMODYNAMICAL FACTORS ON THE SOLID OXIDE FUEL CELL OPERATION by V. A. Sednin, A. A. Chichko

“…High electrical efficiency of the fuel cells allows predictting their further spread as part of hybrid installations jointly with gas and steam turbines which specifically enables achieving the electrical efficiency greater than 70 %. …”
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EMO-TS: An Enhanced Multi-Objective Optimization Algorithm for Energy-Efficient Task Scheduling in Cloud Data Centers by S. Nambi, P. Thanapal

“…The primary objective of EMO-TS is to significantly reduce the energy consumption of cloud data centers while maintaining high levels of resource utilization, time efficiency, and service quality. Through the hybrid methodology of DRL and EEFO, EMO-TS dynamically adjusts task scheduling based on real-time workloads and operational conditions, effectively minimizing power consumption without sacrificing system performance. …”
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Time Allocation and Optimization in Time-Reversal Wireless Powered Communication Networks by Fangwei Li, Yue Wu, Yifang Nie, Ce Shi

“…This paper studies optimal resource allocation in the wireless powered communication networks (WPCN) combined with time reversal (TR) in which one hybrid access point (H-AP) broadcasts constant wireless energy to a set of distributed users in the downlink (DL) and receives information from the users via space division multiple access (SDMA) in the uplink (UL). …”
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Novel thermodynamic model for simulation of hydrogen/diesel fueled PCCI engine by Ghasem Jalivar, Elaheh Neshat

“…The validation and verification results demonstrate the model's high accuracy and reliability, making it suitable for control applications of hydrogen/diesel dual-fuel PCCI combustion and a powerful tool for researching and developing hybrid systems, including PCCI engines, as environmentally friendly systems.…”
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Understanding collaboration in short food supply chains: a focus on collaborative relationships, interaction mechanisms and relational benefits by S. Stoeva, R. Van Gompel, L. Van den Bossche, E. Rogge, P. Slavova, M. Grivins, I. Mileiko

“…This diversity extends beyond traditional business-to-business (B2B) models to include business-to-consumer (B2C), consumer-to-business (C2B), and hybrid business-to-business-to-consumer (B2B2C) relationships. …”
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