Precision Molding Simulation Study of 3D Ultra-Thin Glass Components for Smartwatches by Xinfeng Zhao, Shunchang Hu, Peiyan Sun, Wuyi Ming

“…High stress and shape deviation during the glass forming process often led to low yield rates, posing a challenge in the production of high-precision smartwatch components. …”
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Rapid arc extinguishing of a double-ended electromagnetic air-blast segmented arc-extinguishing device by Xiong LI, Tingfang YANG, Huikang ZHOU, Wenchao YANG, Minghao FENG, Chao ZHUO

“…Based on the theory of magnetohydrodynamic，the theoretical model is built by using finite element simulation software，and the arc-extinction process of the device is simulated and analyzed. The results show that the arc-extinguishing airflow maximum speed is up to 330 m/s. …”
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Improving Fat Graft Survival Using Soluble Molecule Preconditioning by Nabil Amraoui, Isabelle Xu, Jorge Robles Cortés, Chanel Beaudoin Cloutier, Julie Fradette

“…A major limitation of this technique is the poor long-term volume retention of the injected fat due to tissue remodeling and adipocyte death. To address this issue, various optimizations of the grafting process have been proposed. …”
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LarGAN: A Label Auto-Rescaling Generation Adversarial Network for Rare Surface Defects by Guan Qin, Hanxin Zhang, Ke Xu, Liaoting Pan, Lei Huang, Xuezhong Huang, Yi Wei

“…We utilize a progressive GAN framework to ensure a smooth and stable generation process, starting from low-resolution image synthesis and gradually increasing the network depth. …”
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Monitoring, distribution and clinical relevance of airborne pollen and fern spores in Southeast Asia – A systematic review by Ngoc Thi Pham, MSc, Asad Siddiquee, MSc, Maureen Sabit, PhD, Łukasz Grewling, PhD

“…The selection of plants was conducted through a systematic review process (following PRISMA guidelines), by screening the Scopus and PubMed databases, and focusing on studies that provided clinical and aerobiological data. …”
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Federated Subgraph Learning via Global-Knowledge-Guided Node Generation by Yuxuan Liu, Zhiming He, Shuang Wang, Yangyang Wang, Peichao Wang, Zhangshen Huang, Qi Sun

“…Federated graph learning (FGL) is a combination of graph representation learning and federated learning that utilizes graph neural networks (GNNs) to process complex graph-structured data while addressing data silo issues. …”
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Advanced load balancing techniques using MIMO fuzzy logic: A panel distribution case study at state polytechnic of Malang by Ika Noer Syamsiana, Harry Hassidiqi, Wijaya Kusuma, Anang Dasa Novfowan, Arwin Datumaya Wahyudi Sumari, Chandra Wiharya

“…The issue of unbalance in electrical distribution systems is a significant challenge that requires effective management to ensure stability, reliability, and safety. …”
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Midline incisional hernia prophylaxis using synthetic mesh in an emergency or urgent gastrointestinal tract surgery: a protocol for multicentre randomised clinical trial by Gareth Mckay, Ammarin Thakkinstian, John Attia, Suphakarn Techapongsatorn, Amarit Tansawet, Pawin Numthavaj, Preeda Sumritpradit

“…The protocol is on the process of submission to the local ethics committee of the other study sites. …”
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Efficient electromagnetic transient simulation for DFIG-based wind farms using fine-grained network partitioning by Jiale Yu, Haoran Zhao, Yibao Jiang, Bing Li, Linghan Meng, Futao Yang

“…However, as WFs continue to develop on a large scale, the increasing number of wind turbines and network nodes poses significant challenges for efficient EMT simulation of WFs. To address this issue, we propose a fine-grained network decoupling method for doubly-fed induction generator (DFIG) based WFs. …”
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Design and implementation of civil aircraft test database for multi-discipline integration by LI Xinyang, FENG Yunwen, LI Jian, LU Cheng, XIE Yajun, YANG Li

“…However，due to its substantial data volume and its coverage of multiple professional domains，the lack of comprehensive management leads to a waste of data resources. To address this issue，a set of test data management business processes based on airworthiness regulations is proposed to effectively manage multi-disciplinary civil aircraft test data. …”
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Designing and Implementing an Ambulatory Oncology Nursing Peer Preceptorship Program: Using Grounded Theory Research to Guide Program Development by Linda C. Watson, Shelley Raffin-Bouchal, Amy Melnick, Darlene Whyte

“…Having enough staff to provide high-quality care to cancer patients will become a growing issue across Canada over the next decades. Statistical predictions indicate that both the number of new diagnoses and the prevalence of cancer will increase dramatically in the next two decades. …”
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Building architecture for gifted education in Arab countries: a theoretical overview for implementing the ‘Actiotope model’ by Sadiq A. A. Ismail, Maxwell Peprah Opoku, Mariam A. Alghawi, Ashraf Moustafa, Ahmed Morsy

“…The current paper generally focuses on the theoretical framework of the special issue about ‘Gifted Education in Arab Countries: Analyses from a Learning-Resource Perspective’ with a brief reference to the context of the UAE as an example of the participating countries. …”
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Reform and Development of Rare Diseases Drug Evaluation and Approval in China by HUANG Guo, YANG Zhimin, TANG Ling, ZHANG Jie, AI Xing, SE RI Geleng, ZHAO Tian

“…These policies have accelerated the approval process. Meanwhile, the policies ensure the safety and effectiveness of drugs and offer more treatment options and hopes to patients with rare diseases. …”
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Physics of Pair-producing Gaps in Black Hole Magnetospheres: Two-dimensional General Relativistic Particle-in-cell Simulations by Yajie Yuan, Alexander Y. Chen, Martin Luepker

“…Black holes can launch powerful jets through the Blandford–Znajek process. This relies on enough plasma in the jet funnel to conduct the necessary current. …”
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Advancing ECG Signal Classification With a Fuzzy Classifier Approach by Jan Rabcan, Vitaly Levashenko, Elena Zaitseva, Miroslav Kvassay

“…These methods generally follow a two-stage process: signal preprocessing and classification. …”
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Extracellular matrix metalloproteinases in the etiopathogenesis of endometriosis: a systematic review and critical appraisal by M. Ζafrakas, Κ. Κοtronis, P. Papasozomenou, P. Eskitzis, G. Grimbizis

“…The possible role of different enzymes of the extracellular matrix, in particular the role of the matrix metalloproteases or metalloproteinases (MMPs) in the etiopathogenesis and the mechanisms involved in the processes of benign dissemination of endometriosis have been widely investigated in recent years. …”
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SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety by Md. Fahim Bin Amin, Israt Jahan Khan, Faria Akter, Adib Ahmed, Md. Motaharul Islam

“…With the rise in traffic accidents worldwide, it has become very important to have a more effective way to ensure road safety. To address this issue, we have made a system called SafeTrax. SafeTrax uses deep learning to predict traffic accidents and car crashes. …”
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Proactive Complaint Management in Public Sector Informatics Using AI: A Semantic Pattern Recognition Framework by Marco Esperança, Diogo Freitas, Pedro V. Paixão, Tomás A. Marcos, Rafael A. Martins, João C. Ferreira

“…Leveraging real-world interaction logs from a public sector agency, the system harmonizes heterogeneous complaint narratives, uncovers latent issue patterns, and enables early detection of technical and usability problems. …”
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Intelligent Classification of Stable and Unstable Slope Conditions Based on Landslide Movement by Long Tsang, Ali Ghorbani, Seyed Mohammad Hossein Khatami, Dmitrii Ulrikh

“…This research aims to investigate stable and unstable conditions for this important issue using new techniques. There are several effective parameters on landslide movement that need to be thoroughly investigated/observed, making the process of determining the movement of landslides a difficult one. …”
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OpenSRANE, a Flexible and Extensible Platform for Quantitative Risk Assessment of NaTech Events by Bijan SayyafZadeh, Abdolreza S. Moghadam, Mahdi Sahrifi, Eslam Kashi

“…The effects of natural hazards triggering technological disaster (NaTech) on a society, economy and the environment is a multi-disciplinary research topic. The novelty of the issue and the lack of a standard procedure for risk assessment of this category of incidents show the need for more research in this area. …”
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