Application of Random Dynamic Grouping Simulation Algorithm in PE Teaching Evaluation by Haitao Hao

“…Because of the independence of the stochastic simulation solution method, it is applied to the “bottom-up” evaluation model as an example, and a novel autonomous evaluation method is constructed. …”
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Quantifying Patient Demand for Orthopedics Care by Region Through Google Trends Analysis: Descriptive Epidemiology Study by Abram Qiu, Kristopher Meadows, Fei Ye, Osasu Iyawe, Kenneth Kenneth-Nwosa

“…The study highlights the novel application of the RDI to mapping the regional need for orthopedics, and this map allows for better targeted resource allocation to expand orthopedic surgery training.…”
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Multivehicle Cooperative Lane Change Control Strategy for Intelligent Connected Vehicle by Jie Ni, Jingwen Han, Fei Dong

“…Based on the model predictive control (MPC), a multiobjective optimization control function for cooperative lane change is established to realize the distributed control. A novel two-stage cooperative lane change framework is proposed, which divides the lane change process into the lane change phase and the longitudinal headway adjustment phase. …”
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Research on Parameter-Efficient Knowledge Graph Completion Methods and Their Performance in the Cybersecurity Field by Bin Chen, Hongyi Li, Ze Shi

“…Experimental results demonstrate that the proposed GCCKG model significantly improves evaluation values such as MRR and Hits@K in knowledge graph completion tasks on several general domain knowledge graphs, including FB15K, WN18, FB15K-237, as well as the cyberthreat intelligence knowledge graph CS13K, while also significantly reducing the model’s parameter size. This provides a novel solution for knowledge graph completion in the field of cyberthreat intelligence.…”
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Sliding Dynamics of a Filippov Forest-Pest Model with Threshold Policy Control by Lirong Liu, Changcheng Xiang, Guangyao Tang, Yuan Fu

“…A novel Filippov forest-pest system with threshold policy control (TPC) is established while an economic threshold (ET) is used to guide switching. …”
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An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection. by Ali Nawaz, Amir Ahmad, Shehroz S Khan, Mohammad Mehedy Masud, Nadirah Ghenimi, Luai A Ahmed

“…The OCSVM attained an AUCROC of 0.72 and an AUCPR of 0.0253 for extreme LBW detection, while the ECOD model showed competitive performance with an AUCPR of 0.045 for very low LBW cases. Additionally, a novel feature perturbation technique was introduced to enhance the interpretability of the anomaly detection models by providing insights into the relative importance of various prenatal features. …”
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Identification and Characterization of Arcanobacterium canis from Companion Animals in Germany and The United Kingdom by Siti Gusti Ningrum, Antonia Kreitlow, Christoph Lämmler, Ellen Prenger-Berninghoff, Christa Ewers, Geoffrey Foster, Madeleine Plötz, Amir Abdulmawjood

“… Arcanobacterium canis is a novel species of the Arcanobacterium most closely related to A. haemolyticum. …”
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Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification by Jiachen Li, Xiaojin Gong

“…In this work, we propose a novel method called diffusion model-assisted representation learning with a correlation-aware conditioning scheme (DCAC) to enhance DG Re-ID. …”
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Secure Two-Party Decision Tree Classification Based on Function Secret Sharing by Kun Liu, Chunming Tang

“…This paper proposes a novel framework for secure two-party decision tree classification that enables collaborative training and evaluation without leaking sensitive data. …”
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Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization by Yiwei He, Yingjie Tian, Jingjing Tang, Yue Ma

“…To address this issue, we propose a novel model named Domain Adaptation Exemplar Support Vector Machines (DAESVMs) based on exemplar support vector machines (exemplar-SVMs). …”
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Enhancing Image-Based JPEG Compression: ML-Driven Quantization via DCT Feature Clustering by Shahrzad Sabzavi, Reza Ghaderi

“…The purpose of this research is to explore a novel approach that combines machine learning, discrete cosine transform (DCT) feature clustering, and genetic algorithms to customize image compression methods. …”
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Advancing Insights into Large-Artery Stiffening in Humans Through the Application of Multi-omics by Marie-Joe Dib

“…Clinically, LAS is one of the few biological parameters that more than doubles with aging. With the advent of novel highly effective therapies for atherosclerosis, and the likely decline of other causes of death in the next few decades, prevention and treatment of increased LAS may be one of the most relevant strategies for preventing multimorbidity in aging populations in upcoming decades. …”
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Corrosion Resistant Coating from Nano Printed Circuit Board Powder for the Reinforced Concrete Structures by R. Mohana, D. Selvaganesh, A. Anto Issac, M. Vignesh Kumar

“…Corrosion in steel leads to the deterioration of reinforced concrete structures due to chemical reactions between steel and its surrounding atmosphere. In this paper, a novel anticorrosive powder was derived from the waste Printed Circuit Board (PCB) and manually coated on the steel rebar of the reinforced concrete specimen. …”
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Complete genome of mangrove-derived anti-MRSA streptomycete, Streptomyces pluripotens MUSC 135T by Hooi-Leng Ser, Kok-Gan Chan, Wen-Si Tan, Wai-Fong Yin, Bey-Hing Goh, Nurul-Syakima Ab Mutalib, Learn-Han Lee

“…Streptomyces pluripotens MUSC 135T was isolated as novel strain from mangrove forest in Malaysia. This strain exhibited broad spectrum bacteriocin against several pathogens including methicillin-resistant Staphylococcus aureus (MRSA) strain ATCC BAA-44, Salmonella typhi ATCC 19430T and Aeromonas hydrophila ATCC 7966T. …”
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Shedding light on development: Leveraging the new nightlights data to measure economic progress. by Prachi Jhamb, Susana Ferreira, Patrick Stephens, Mekala Sundaram, Jonathan Wilson

“…Addressing this, we employ a novel harmonized NTL dataset (VIIRS + DMSP), which provides the longest and most consistent database available to date. …”
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Spatial autocorrelation analysis of non-communicable diseases: Unveiling hidden patterns and hotspots of hypertension in the Yogyakarta Special Region by Lusiana Vivi, Arif Fahrudin Alfana Muhammad

“…This study emphasizes the application of novel spatial analysis in public health surveillance in Indonesia, underscoring the effectiveness of spatial autocorrelation techniques in identifying high-risk areas, and as an important step in developing public health strategies and policies.…”
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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks by Runia Roy, Ulya Bayram

“…In this interdisciplinary study, two main contributions are proposed for the automated clinical decision-making state-of-the-art: (1) using the real-life data collected from thousands of ICU patients by healthcare professionals, three possibilities (recovery, mortality, and returning to the intensive care unit within 30 days) are predicted for patients in intensive care instead of just one possibility. (2) A novel feature extraction approach is proposed by the biomedical expert in our team. …”
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Maximizing efficiency and performance of water distribution systems through the implementation of optimization algorithms: A comprehensive analysis of valve and chlorine booster pl... by Mohamadreza Najarzadegan, Mehrtash Eskandaripour

“…The study also explores critical trade-offs between the number of FCVs and chlorine boosters, highlighting their impact on cost and system reliability. This work is novel in its integration of hydraulic and water quality objectives into a unified framework, which is further validated through comprehensive case studies. …”
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Making respiratory care safe for neonatal and paediatric intensive care unit staff: Mitigation strategies and use of filters by Bradley G Carter, Edward Harcourt, Alexandra Harris, Michael Zampetti, Trevor Duke, David Tingay

“… # Approach We report the general, novel approach we have taken to identify and mitigate these risks and to protect HCWs, visitors and patients from exposure while maintaining the optimal performance of such respiratory equipment…”
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Modeling the Effects of Formulary Exclusions: How Many Patients Could Be Affected by a Specific Exclusion? by Anne M. Sydor, Emily Bergin, Jonathan Kay, Erik Stone, Robert Popovian

“…**Methods:** We modeled the effect of excluding novel agents for atrial fibrillation/venous thromboembolism, migraine prevention, and psoriasis, which all would require substitution with a different active ingredient. …”
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