Key Variables Screening of Near-Infrared Models for Simultaneous Determination of Quality Parameters in Traditional Chinese Food “Fuzhu” by Jiahua Wang, Jun Wang, Xiaowei Zhang, Jingjing Cheng, Qingyu Li

“…Combined with chemometrics methods, the NIR technique is promising for simultaneous testing of quality parameters of intact Fuzhu.…”
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Long-term expansion of basal cells and the novel differentiation methods identify mechanisms for switching Claudin expression in normal epithelia by Akihito Inoko, Norihito Soga, Minako Suzuki, Tohru Kiyono, Junichi Ikenouchi, Takahiro Kojima, Yoshikatsu Sato, Daisuke Saito, Tatsuo Miyamoto, Naoki Goshima, Hideaki Ito, Kenji Kasai

“…To verify this differentiation-switching technique, we obtained microarray data comparing each differentiation state. …”
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Machine learning-based smart irrigation controller for runoff minimization in turfgrass irrigation by Sambandh Dhal, Jorge Alvarado, Ulisses Braga-Neto, Benjamin Wherley

“…A robust ML classifier, specifically the Radial Basis Function - Support Vector Machine (RBF-SVM) was trained on synthetic data generated through the Monte-Carlo (MC) technique, which was then used to specify a set of irrigation rules implemented in the irrigation controller. …”
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Investigation of biocompatibility and antibacterial properties of electrospun chitosan/ polyethylene oxide -based scaffolds containing propolis extract against Enterococcus faecali... by Sayed Reza Ebrahimi, Mohammad Nikbakht, Milad Shahini Shams Abadi, Abolfazl Gholipour, Mitra Bagheri, Majid Validi

“…Bacterial infections represent a prevalent issue in healthcare settings. The indiscriminate use of antibiotics has contributed to the proliferation of antibiotic-resistant bacteria and complicating the treatment of such infections. …”
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Evaluating masked self-supervised learning frameworks for 3D dental model segmentation tasks by Lucas Krenmayr, Reinhold von Schwerin, Daniel Schaudt, Pascal Riedel, Alexander Hafner, Marc Geserick

“…Our results show that the benefits are most noticeable when training data is limited but diminish as more labeled data becomes available, providing insights into when and how this technique should be applied to maximize its effectiveness.…”
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Indigenous languages as predictors of understanding and accepting COVID-19 vaccines in Nigeria and South Africa by Israel Fadipe, Abiodun Salawu, Olanrewaju John Ogundeyi

“…Considering the multi-faceted effects of the COVID-19 pandemic on different peoples and societies worldwide, this article argues that vaccine campaigns in African settings cannot be impactful if they are not disseminated in the indigenous African languages. …”
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Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest by Yaxi Shen, Shunchuan Wu, Yongbing Wang, Jiaxin Wang, Zhiquan Yang

“…The model was developed using 350 sets of actual rockburst sample data to explore the impact of input metrics on the final rockburst intensity level. …”
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Precipitation Retrieval from FY-3G/MWRI-RM Based on SMOTE-LGBM by Yanfang Lv, Lanjie Zhang, Wen Fan, Yibo Zhang

“…Using the FY-3G/MWRI-RM observations, this paper proposes a precipitation retrieval method that combines the Synthetic Minority Over-sampling Technique with Light Gradient Boosting Machine (SMOTE-LGBM) and analyzes the impact of MWRI-RM channel settings on precipitation retrieval. …”
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Needle Stick Injury and Hepatitis B Virus Vaccination Status of Medical Staff in Tertiary Care Hospitals of Islamabad and Rawalpindi by Muhammad Aslam Shaikh, Farhana Shaikh, Aqsa Shafique, Nagina Shaikh, Farah Nawaz, Lata Kumari

“…Participants were selected through simple random sampling technique. A sample size of 300 healthcare workers was statistically calculated. …”
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Neighborhood constraint extraction for rapid modeling of point cloud scenes in large-scale power grid substations by Ruiheng Li, Lu Gan, Yi Di, Hao Tian, Qiankun Zuo, Yiming Luo, Xuan Wu, Haiyang Wang

“…We also propose a novel method for automatic extraction of target PC data using the adjacent feature plane constraint (AFPC) clustering technique. Initially, we capture height characteristics of the target object's PC through experiential and statistical height attributes. …”
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Interpretable machine learning modeling of temperature rise in a medium voltage switchgear using multiphysics CFD analysis by Mahmood Matin, Amir Dehghanian, Amir Hossein Zeinaddini, Hossein Darijani

“…An explainable artificial intelligence (XAI) technique, Shapley Additive Explanations (SHAP), was applied to the best-performing model to evaluate the importance of each feature in predicting maximum temperature. …”
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A decentralized DSO-MGOs coordination approach for TSO-DSOs coordination and security enhancement by Meethaq Talib Jabbar Alramahy, Sajjad Golshannavaz, Vahid Talavat

“…This paper models an advanced energy management technique considering decentralized peer-to-peer (P2P) collaborations on the demand side, highlighting how enhanced cooperation between DSOs and MG operators (MGOs) can reinforce the connection with the TSO. …”
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Task Scheduling of Multiple Humanoid Robot Manipulators by Using Symbolic Control by Mete Özbaltan, Nihan Özbaltan, Hazal Su Bıçakcı Yeşilkaya, Murat Demir, Cihat Şeker, Merve Yıldırım

“…Task scheduling for multiple humanoid robot manipulators in industrial and collaborative settings remains a significant challenge due to the complexity of coordination, resource sharing, and real-time decision-making. …”
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Correlation-Based Knowledge Distillation in Exemplar-Free Class-Incremental Learning by Zijian Gao, Bo Liu, Kele Xu, Xinjun Mao, Huaimin Wang

“…Knowledge Distillation (KD) is a widely used technique that utilizes old models as the teacher model to alleviate CF. …”
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Red-KPLS Feature Reduction with 1D-ResNet50: Deep Learning Approach for Multiclass Alzheimer’s Staging by Syrine Neffati, Ameni Filali, Kawther Mekki, Kais Bouzrara

“…The dataset was strategically partitioned into 60% training, 20% validation, and 20% testing sets, preserving class balance throughout all splits. …”
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Methodological proposals for developing trustworthy recommendations of integrative Chinese-Western medicine by Honghao Lai, Mingyao Sun, Bei Pan, Baojin Han, Tingting Lu, Lei Fang, Jie Liu, Long Ge

“…Methods: Using a nominal group technique (NGT) approach, a multidisciplinary expert panel was established. …”
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Kolmogorov–Arnold Network Model Integrated with Hypoxia Risk for Predicting PD-L1 Inhibitor Responses in Hepatocellular Carcinoma by Mohan Huang, Xinyue Chen, Yi Jiang, Lawrence Wing Chi Chan

“…The training and test sets were assembled from the EGAD00001008128 dataset of 290 HCC patients, and the response and non-response classes were balanced using the Synthetic Minority Over-sampling Technique. …”
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Leveraging deep feature learning for handwriting biometric authentication by Parvaneh Afzali, Abdoreza Rezapour, Ahmad Rezaee Jordehi

“…The authentication of writers through handwritten text stands as a biometric technique with considerable practical importance in the field of document forensics and literary history. …”
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A Programmable Gain Calibration Method to Mitigate Skin Tone Bias in PPG Sensors by Connor MacIsaac, Macros Nguyen, Alexander Uy, Tianmin Kong, Ava Hedayatipour

“…Photoplethysmography (PPG) is a widely adopted optical technique for cardiovascular monitoring, but its accuracy is often compromised by skin pigmentation, which attenuates the signal in individuals with darker skin tones. …”
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Task Allocation and Path Planning for Collaborative Autonomous Underwater Vehicles Operating through an Underwater Acoustic Network by Yueyue Deng, Pierre-Philippe J. Beaujean, Edgar An, Edward Carlson

“…We also demonstrate that the GMOOP path-planning technique provides an efficient method for executing multiobjective tasks by cooperative agents with limited communication capabilities. …”
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