ADAPTED CONFLICT RESOLUTION MODEL IN BUSINESS ORGANIZATIONS by Iv. Ivanov

“…Such kind of development would provoke a scientific search for other, more efficient ways of putting existing conflict theory and methodology into practice. …”
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Automatic Minimization of the Drift Performance of RC 3D Irregular Buildings Using Genetic Algorithm by Zakia Sadat, Abdussamet Arslan

“…The results confirmed the proposed genetic algorithm’s ability to find efficient optimum solutions to three-dimensional reinforced concrete structures through the problem of size optimization.…”
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Maximizing solar distillation performance for conical solar still through varied energy storage materials by Abdelkader Bellila, Abd Elnaby Kabeel, Mohammed El Hadi Attia, H. A. Dahab, M. A. Elazab

“…These materials were analyzed based on their ability to improve energy and exergy efficiencies. …”
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Research status of preparation and photocatalysis of zinc ferrite by WANG Dong-bin, LIANG Jing-long, WANG Xin-rui, LI Hui, WANG Jing

“…To improve the catalytic efficiency of zinc ferrite, the specific surface area is increased, and the surface morphology of zinc ferrite is optimized. …”
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Role of Dyestuff in Improving Dye-Sensitized Solar Cell Performance by Yehia Selim, Ahmed Mohamed

“…The motivation of this work is to design a simple, easy and prepare an efficient organic dye sensitizer.</p><p class="Abstract">Also, this paper investigates the important criteria which are considered for selecting dye to enhance DSSC efficiency.…”
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High performance adaptive step size fractional numerical scheme for solving fractional differential equations by Mudassir Shams, Ahmad Alalyani

“…Our newly developed fractional order technique outperforms modern high-performance algorithms in solving fractional differential equations, demonstrating superior computational efficiency and stability. These findings demonstrate the robust and efficient capabilities of the proposed methods to solve fractional-order problems.…”
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On Construction of Real-Time Monitoring System for Sport Cruiser Motorcycles Using NB-IoT and Multi-Sensors by Endah Kristiani, Tzu-Hao Yu, Chao-Tung Yang

“…The study indicates that the integration of advanced technologies, such as the NB-IoT and multi-sensor systems, can lead to improved driving safety and operational efficiency. Furthermore, the research suggests that the system’s ability to provide instant notifications and alerts through the platforms’ instant messaging can enhance user responsiveness to potential hazards, thereby contributing to a safer riding experience.…”
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Lightweight Multi-Scale Network for Segmentation of Riverbank Sand Mining Area in Satellite Images by Hongyang Zhang, Shuo Liu, Huamei Liu

“…The lightweight multi-scale block combines parallel computing and depthwise convolution to reduce the parameters of the network and enhance its multi-scale extraction ability. We created a benchmark dataset to validate the accuracy and efficiency improvements of our network. …”
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FEM and Circuit Simulation-Optimized WPT With Magnetic In-Band Communication for E-Bike Applications by Eun S. Lee

“…The proposed system is validated through simulations and experimental results, demonstrating its ability to achieve stable 100 W charging with enhanced reliability and efficiency. …”
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Robust Adaptive Fractional-Order PID Controller Design for High-Power DC-DC Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm for... by Seyyed Morteza Ghamari, Daryoush Habibi, Asma Aziz

“…The Dual Active Bridge Converter (DABC), when paired with a high-performance CLLC filter, is well-regarded for its ability to transfer power bidirectionally with high efficiency, making it valuable across a range of energy applications. …”
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Pretraining-improved Spatiotemporal graph network for the generalization performance enhancement of traffic forecasting by Xiangyue Zhang, Chao Li, Ling Ji, Yuyun Kang, Mingming Pan, Zhuo Liu, Qiang Qi

“…Experiments conducted on three real-world traffic datasets demonstrate that the proposed pre-training method significantly enhances the model’s ability to handle long-term dependencies, missing data, and high computational costs, providing a more efficient solution for traffic prediction.…”
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Selection of Infective Arbuscular Mycorrhizal Fungal Isolates for Field Inoculation by Elisa Pellegrino, Chandra Kamatchi Ramasamy, Cristiana Sbrana, Paolo Barberi, Manuela Giovannetti

“…AM fungi differ in their symbiotic performance, which is the result of the interaction of two fungal characters, infectivity and efficiency. Infectivity is the ability of a fungal isolate to establish rapidly an extensive mycorrhizal symbiosis and is correlated with pre-symbiotic steps of fungal life cycle, such as spore germination and hyphal growth. …”
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Cilium height difference between strokes is more effective in driving fluid transport in mucociliary clearance: A numerical study by Ling Xu, Yi Jiang

“…We also test the effect of mucus viscosity, whose value is found to be inversely proportional to the transport ability. While multiple parts have to interplay and coordinate to allow for most effective mucociliary clearance, our findings from a simple model move us closer to understanding the effects of the cilia motion on the efficiency of this clearance system.…”
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Advancements in Circulating Tumor Cell Detection for Early Cancer Diagnosis: An Integration of Machine Learning Algorithms with Microfluidic Technologies by Ling An, Yi Liu, Yaling Liu

“…Microfluidic systems, or “lab-on-a-chip” devices, have emerged as a revolutionary tool in liquid biopsy, enabling efficient isolation and analysis of CTCs. These systems offer advantages such as reduced sample volume, enhanced sensitivity, and the ability to integrate multiple processes into a single platform. …”
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Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization by Haifei Xia, Haiyan Zhou, Mingao Zhang, Qingyi Zhang, Chenlong Fan, Yutu Yang, Shuang Xi, Ying Liu

“…Deep reinforcement learning-based detection methods have been shown to exhibit strong generalization ability and sample utilization efficiency when the number of samples is limited. …”
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Data Cooperative Distribution Mechanism of Internet of Vehicles Using D2D Technology by Xuejuan Chen, Gaofeng Chu

“…The algorithm adaptively selects the optimal relay, route, and number of transmission hops based on the D2D link quality to find the optimal cooperative distribution scheme to achieve the goal of optimizing the energy efficiency of the requesting vehicle. Simulation results show that, compared with the existing one-hop unicast and one-hop multicast forwarding algorithms, the multihop relay data cooperative distribution algorithm proposed in this paper exhibits strong global optimization ability and can significantly improve D2D forwarding resource utilization and data transmission rate and improve the throughput of data distribution services, thereby effectively improving the energy efficiency of the requesting vehicle.…”
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Screening Decommissioned Oil and Gas Pipeline Cleaners Using Big Data Analytics Methods by Rongguang Li, Junqi Zhao, Ling Sun, Long Jin, Sixun Chen, Lihui Zheng

“…Traditional methods, such as full-factorial, orthogonal, and empirical experiments, show limited accuracy and efficiency in selecting cleaning agents for decommissioned oil and gas pipelines. …”
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EER-DETR: An Improved Method for Detecting Defects on the Surface of Solar Panels Based on RT-DETR by Jiajun Dun, Hai Yang, Shixin Yuan, Ying Tang

“…In the context of the rapid popularization of clean energy, the precise identification of surface defects on photovoltaic modules has become a core technical bottleneck limiting the operational efficiency of power stations. In response to the shortcomings of existing detection methods in identifying tiny defects and model efficiency, this study innovatively constructed the EER-DETR detection framework: firstly, a feature reconstruction module WDBB with a differentiable branch structure was introduced to significantly enhance the feature retention ability for fine cracks and other small targets; secondly, an adaptive feature pyramid network EHFPN was innovatively designed, which achieved efficient integration of multi-level features through a dynamic weight allocation mechanism, reducing the model complexity by 9.7% while maintaining detection accuracy, solving the industry problem of “precision—efficiency imbalance” in traditional feature pyramid networks; finally, an enhanced upsampling component was introduced to effectively address the problem of detail loss that occurs in traditional methods during image resolution enhancement. …”
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Preparation of Manganese Dioxide Nanoparticles on Laterite for Methylene Blue Degradation by Thu-Huong Le, Thu Hong Anh Ngo, Van Thuan Doan, Le Minh Tri Nguyen, Manh Cuong Le

“…Hence, our groups have investigated the ability of the catalytic column treatment with high efficiency of 98–100% and the degradation efficiency after the sample running through the column almost does not change much. …”
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A hybrid deep learning model approach for automated detection and classification of cassava leaf diseases by G. Sambasivam, G. Prabu kanna, Munesh Singh Chauhan, Prem Raja, Yogesh Kumar

“…The novelty of the hybrid model lies in its ability to combine DenseNet169’s feature reuse capability with EfficientNetB0’s computational efficiency, resulting in improved accuracy and scalability. …”
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