The Necessity of Regulating Drinking Scenes on Social Media Platforms Focusing on YouTube Sulbang Videos: Public Opinion From Surveys and YouTube Content Analysis by HyoRim Ju, HyeWon Lee, Juyoung Choi, EunKyo Kang

“…ObjectiveThis study aimed to analyze the content of sulbang (broadcasts featuring alcohol consumption) on YouTube and to assess public opinions regarding the regulation of alcohol-related broadcasts on social media platforms such as YouTube. …”
Get full text

Continuous wave mud pulse data transmission method based on continuous gradation frequency keying modulation and Convolution neural network demodulation by Yingzhong Zhu, Zhenhua Xia, Yue Yang, Cihao Zhu, Guoqing Cai, Shuang Hu, Junhao Wang

“…By controlling the waveform frequency to uniformly increase from zero to a predetermined value and then uniformly decrease back to zero within a symbol period, and utilizing the rate of frequency change as the feature for modulation and demodulation, this method effectively mitigates the issue of ISI caused by the motor’s inability to rapidly switch to the next speed due to its inertia during symbol transitions. …”
Get full text

One-Dimensional Deep Residual Network with Aggregated Transformations for Internet of Things (IoT)-Enabled Human Activity Recognition in an Uncontrolled Environment by Sakorn Mekruksavanich, Anuchit Jitpattanakul

“…We developed a comprehensive network that utilizes feature fusion and a multi-kernel block approach. …”
Get full text

A Ship Heading Estimation Method Based on DeepLabV3+ and Contrastive Learning-Optimized Multi-Scale Similarity by Weihao Tao, Yasong Luo, Jijin Tong, Qingtao Xia, Jianjing Qu

“…First, a cascaded image preprocessing method is developed, incorporating linear transformation, bilateral filtering, and the Multi-Scale Retinex with Color Restoration (MSRCR) algorithm to mitigate noise and haze interference and enhance image quality with improved target edge clarity. …”
Get full text

Ensemble Learning-Based Metamodel for Enhanced Surface Roughness Prediction in Polymeric Machining by Elango Natarajan, Manickam Ramasamy, Sangeetha Elango, Karthikeyan Mohanraj, Chun Kit Ang, Ali Khalfallah

“…This classification leverages output discretization to mitigate data imbalance and capture regime-specific patterns. …”
Get full text

Subway-Induced Vibration Measurement and Evaluation of the Structure on a Construction Site at Curved Section of Metro Line by Weixing Shi, Ligang Bai, Jianping Han

Get full text

Application of the YOLOv11-seg algorithm for AI-based landslide detection and recognition by Luhao He, Yongzhang Zhou, Lei Liu, Yuqing Zhang, Jianhua Ma

“…Using the Bijie-Landslide dataset, the method optimizes the feature extraction and segmentation modules of YOLOv11-seg, enhancing both the accuracy of landslide boundary detection and the pixel-level segmentation of landslide areas. …”
Get full text

Application of Machine Learning for Predictive Analysis and Management of Mediterranean-Farmed Fish Mortalities: A Risk Management Case Study Using Apache Spark by Marios C. Gkikas, Dimitris C. Gkikas, Gerasimos Vonitsanos, John A. Theodorou, Spyros Sioutas

“…Future work could incorporate more predictive statistics models focusing on improving the models for extreme values by assessing non-linear models, feature engineering methods, and expanding research into less influential variables. …”
Get full text

Implementation of a Current Harmonics Suppression Strategy for a Six-Phase Permanent Magnet Synchronous Motor by Yu-Ting Lin, Jonq-Chin Hwang, Cheng-Ting Tsai, Cheng-Tsung Lin

“…The controller adapts a Texas Instrument microcontroller featuring encoder interfaces, complementary pulse width modulation (PWM), and analog–digital converters (ADC) to simplify the board design. …”
Get full text

Characteristics of droplet evaporation on high-temperature porous surfaces for estimating cooling time of fuel debris by Kohei YUKI, Naoki HORIGUCHI, Hiroyuki YOSHIDA, Kazuhisa YUKI

“…In the present study, the droplet evaporation characteristics on metallic porous media featuring pores smaller than 1 mm were investigated. …”
Get full text

Explainable light-weight deep learning pipeline for improved drought stress identification by Aswini Kumar Patra, Aswini Kumar Patra, Lingaraj Sahoo

“…IntroductionEarly identification of drought stress in crops is vital for implementing effective mitigation measures and reducing yield loss. Non-invasive imaging techniques hold immense potential by capturing subtle physiological changes in plants under water deficit. …”
Get full text

BreastCNet: Breast Cancer Detection, Classification, and Localization Convolutional Neural Network With Advanced Optimization Techniques by Hassan Mahichi, Vahid Ghods, Mohammad Karim Sohrabi, Arash Sabbaghi

“…GWO fine-tuned neuron counts in dense layers to enhance feature learning, while PO dynamically adjusted the learning rate to improve convergence. …”
Get full text

HSP105 inhibition downregulates store-operated calcium entry and promotes acute UVB-induced tight junction disruption. by Kaiyi Zhou, Siyu Luo, Qinxiao Wang, Qian Ye, Sheng Fang

“…<h4>Background</h4>Tight junction abnormalities are a common feature of inflammatory skin diseases such as psoriasis and atopic dermatitis and contribute to systemic immune responses. …”
Get full text

Impak Sihat: A telehealth system development and feasibility evaluation to empower rural population in Malaysia on the quality use of medicines. by Nor Ilyani Mohamed Nazar, Norny Syafinaz Ab Rahman, Nor Elina Alias, Syahrir Zaini, Tg Karmila Tg Mohd Kamil, Nurjasmine Aida Jamani, Mohamed Hassan Elnaem

“…The system's offline functionality and WhatsApp integration mitigated rural connectivity constraints, yet challenges persisted in data confidentiality (lowest score: 73.1 ± 26.7). …”
Get full text

Global progress and prospects of triclosan and triclocarban research in the environmental field: a bibliometric analysis and review by Jie Han, Hui Chen, Zhe Ren, Xue Zhang, Zixuan Shao, Qiuhua Wei, Zhonghong Li

“…The journals Science of the Total Environment, Chemosphere, and Environmental Science and Technology featured the highest number of publications on this topic. …”
Get full text

Alterations of triple network dynamic connectivity and repetitive behaviors after mini-basketball training program in children with autism spectrum disorder by Weike Zhang, Kelong Cai, Xuan Xiong, Lina Zhu, Zhiyuan Sun, Sixin Yang, Wei Cheng, Haiyong Mao, Aiguo Chen

“…Abstract Physical exercise has been demonstrated to effectively mitigate repetitive behaviors in children with autism spectrum disorder (ASD), but the underlying dynamic brain network mechanisms are poorly understood. …”
Get full text

YOLORM: An Advanced Key Point Detection Method for Accurate and Efficient Rotameter Reading in Low Flow Environments by Huang Yong, Xia Xing, Xiao Shengwang

“…Several innovations were introduced to the YOLOv8n framework: (1) An ALKBlock-based C2f module incorporating DACov structure to enhance spatial perception; (2) An EffQA-FPN feature pyramid network inspired by QARepVGG to mitigate precision loss during quantization and reparameterization; (3) A DynamicHead attention mechanism with multi dimensional perception capabilities; and (4) EIoU and Adaptive Wing Loss functions to optimize bounding box and key point regression. …”
Get full text

Diabetes burden attributable to air pollution from 1990~2021 and the future trends: a population-based study by Qingsong Mao, Xiaoyi Zhu, Xinyi Zhang, Yuzhe Kong

“…South Asia and Africa are anticipated to witness substantial growth in age-standardized death rates compared to other areas.ConclusionThe results provide essential insights for developing preventive strategies for diabetes burden and measures to mitigate air pollution.…”
Get full text

Soft Computing Solutions for Reducing the Carbon Footprint of Fly Ash Based Concrete. Advances in Civil Engineering by Awoyera, Paul O., Adetola, Joshua, Nayeemuddin, Mohammed, Mewada, Hiren, George Fadugba, Olaolu

“…This study highlights the urgent need for innovative approaches in the built environment to support sustainable development and mitigate the carbonfootprint associated with structural engineering.…”
Get full text

A study on the effectiveness of machine learning models for hepatitis prediction by Popy Khatun, Shafeel Umam, Rubaiya Binte Razzak, Iffat Binta Shamsuddin, Nahid Salma

“…Feature selection was performed using the Boruta algorithm. …”
Get full text