Balancing Usability and Protection: A Decision-Making Approach to Computer Network Security Evaluation using the Neutrosophic Fuzzy Dombi Operator by Meijing Zhang, Linghui Li

“…In an era where data is a vital organizational asset, the challenge of safeguarding digital infrastructure while maintaining system usability has become increasingly complex. Network security solutions must not only protect against evolving threats but also support efficient and user-friendly operations. …”
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Computational strategies for PROTAC drug discovery by Jia Wu, Wanhe Wang, Chung-Hang Leung

“…For PROTACs, molecular docking accurately simulates the protein-PROTAC-E3 ternary complex, thus greatly accelerating structure-activity-relationship analysis, and improving ligand affinity and selectivity. …”
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Design of a ROS2-Based Hybrid Aerial-Ground Robot for Autonomous Inspection Applications by Mutaz Ryalat, Ghaith Al-Refai, Natheer Almtireen, Hisham ElMoaqet

“…A distinctive feature of the presented design is its energy-efficient operational strategy, emphasizing ground-based autonomous navigation and mapping for extended endurance while selectively utilising aerial capabilities for vertical access, obstacle circumvention, and challenging terrain traversal. …”
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From silent partners to potential therapeutic targets: macrophages in colorectal cancer by Hayat Khizar, Kamran Ali, Jianwei Wang

“…Decoding and figuring out these complex systems become significant in building targeted treatment programs. …”
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The Influence of Laminarizers on the Turbulent Boundary Layer and Prediction of Effective Flow Conditions around Surfaces by Chukalin A.V., Kovalnogov V.N., Sherkunov V.V., Savelov O.V.

“…The development of effective methods for boundary layer laminarization is a fundamental task for the efficient and reliable operation of power equipment. …”
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Optimization of Sustainable Seismic Retrofit by Developing an Artificial Neural Network by Hafiz Asfandyar Ahmed, Waqas Arshad Tanoli

“…The study found that networks with one or two hidden layers provided more reliable and efficient results compared to more complex architectures, achieving a total regression value of 0.911. …”
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The Bayesian mixture expert recognition model for tobacco leaf curing stages based on feature fusion by Panzhen Zhao, Shijiang Duan, Songfeng Wang, Aihua Wang, Lingfeng Meng, Zhicheng Wang, Yingpeng Dai

“…The proposed model achieves a recognition accuracy of 93.96% on the test set, with other performance metrics surpassing those of the base models. This research efficiently captures and robustly recognizes the complex dynamic visual features of the tobacco curing process through the integration of diverse features, adaptive adjustments, and expert collaboration mechanisms, thereby enhancing the system’s adaptability and interpretability in complex environments. …”
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Ensenyar els connectors al primer cicle de l’escola primària / Teaching linking words to primary students by Alícia Santolària Òrrios

“…In this research, which was conducted in the classroom, a didactic sequence as a methodological tool has been chosen following the Geneva School. The selected device demonstrates, firstly, that introducing knowledge on grammar is not only possible but efficient at an early age; and, secondly, that the introduction of a didactic sequence helps improve children’s texts.…”
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Diatom Frustule-Inspired Bridges: A Fusion of Art, Architecture and Mechanical Design by Mukunda Adhikari, Parvez Alam

“…Bridges are important structures, often playing a vital role in society, connecting communities, enabling easy access over complex terrains and providing aesthetic purpose. …”
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The role of cognitive distortion in criminal behavior: a systematic literature review by Kalaivanan Syasyila, Lim L. Gin, Hilwa Abdullah Mohd. Nor, Mohammad Rahim Kamaluddin

“…Abstract The complex link between cognitive distortions (CDs) and criminal behavior is explored in this systematic literature review, with particular attention paid to typologies, contributions to criminal behavior, and correlations with different forms of crime. …”
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SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction by Radiful Islam, Rashik Shahriar Akash, Md Awlad Hossen Rony, Md Zahid Hasan

“…Early detection of colorectal cancer through the proper segmentation of polyps in the colonoscopy images is crucial. …”
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Research on Deep Integration of the “Belt and Road” Aviation Network Based on Community Structure from the Perspective of China by Hongguang Yao, Huihui Xiao

“…Air transport has broad development potential along the “ Belt and Road” by owing to its fast, direct, and comfortable advantages, and the community structure is an important factor determining the efficiency and service functions of the aviation network. …”
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Research and Implementation of Travel Aids for Blind and Visually Impaired People by Jun Xu, Shilong Xu, Mingyu Ma, Jing Ma, Chuanlong Li

“…., walking sticks, basic audio feedback) provide limited flexibility and interactivity for complex environments. To solve this problem, we propose a real-time travel assistance system based on deep learning. …”
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Intelligent Recognition and Automated Production of Chili Peppers: A Review Addressing Varietal Diversity and Technological Requirements by Sheng Tai, Zhong Tang, Bin Li, Shiguo Wang, Xiaohu Guo

“…., YOLO and Mask R-CNN achieving a mAP > 90% in specific studies) for pepper detection, segmentation, and fine-grained cultivar identification, analyzing the performance and optimization in complex environments. …”
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Epitope-imprinted biomaterials with tailor-made molecular targeting for biomedical applications by Youlu Diao, Jia Gao, Yue Ma, Guoqing Pan

“…Additionally, we discuss the application of epitope-imprinted materials in the recognition and detection of peptides, proteins, and cells. Despite these advancements, challenges such as template complexity, imprinting efficiency, and scalability remain. …”
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Raman‐Enabled Predictions of Protein Content and Metabolites in Biopharmaceutical Saccharomyces cerevisiae Fermentations by Jeppe Hagedorn, Guilherme Ramos, Miguel Ressurreição, Ernst Broberg Hansen, Michael Sokolov, Carlos Casado Vázquez, Christos Panos

“…Its ability to provide detailed information about molecular vibrations makes it ideal for the detection and quantification of therapeutic proteins and critical control parameters in complex biopharmaceutical mixtures. …”
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Electrocardiographic parameter profiles for differentiating hypertrophic cardiomyopathy stages by Naomi Hirota, Shinya Suzuki, Takuto Arita, Naoharu Yagi, Mikio Kishi, Hiroaki Semba, Hiroto Kano, Shunsuke Matsuno, Yuko Kato, Takayuki Otsuka, Junji Yajima, Tokuhisa Uejima, Yuji Oikawa, Takeshi Yamashita

“…Conclusions As HCM progresses to dHCM, a shift in HPI from the ST‐T segment to the QRS complex provides clinically relevant insights. For HCM subtypes, the top 10 ECG parameters yield predictive performance similar to the full parameter set, supporting efficient approaches for AI‐based diagnostic models.…”
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Recent advances in bio-microsystem integration and Lab-on-PCB technology by Sotirios Papamatthaiou, Pavlos Menelaou, Bilal El Achab Oussallam, Despina Moschou

“…This platform facilitates the seamless integration of microfluidics, sensors, and actuators within a single device, enabling complex, multifunctional systems suitable for real-world deployment. …”
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Exploring Design Approaches for 3D Printed Antennas by Saul S. Carvalho, Joao R. V. Reis, Artur Mateus, Rafael F. S. Caldeirinha

“…Various printing techniques are employed to fabricate antennas with complex geometries and optimized performance. Rigorous measurements validate simulation results, addressing challenges related to printing resolution and material selection. …”
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Simultaneous multi-objective optimization method for trading indicators by Nhat M. Nguyen, Minh Tran

“…Our findings prove that the multi-objective Particle Swarm Optimization method efficiently balances the complexity to combine various technical indicators in a way that keeps the logic of the strategy simple. …”
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