NON-INTRUSIVE LOAD MONITORING: IMPLEMENTATION EFFECTS AND DISTRIBUTION PROSPECTS by P. S. Kuzmin

“…In recent years, a wide range of technologies has been introduced into various types of activities of energy companies, including significant attention being paid to technologies that implement demand-side management, transferring consumers from the passive category to active consumers, and also opening up new opportunities in energy management. …”
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Numerical Investigation of Jet Angle Effects on Thermal Dispersion Characteristics in Coastal Waters by Longsheng Li, Hongyuan Shi, Huaiyuan Xue, Qing Wang, Chao Zhan

“…It demonstrates high thermal diffusion efficiency and strong heat dilution capacity. …”
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Alzheimer’s Disease Prediction via Brain Structural-Functional Deep Fusing Network by Qiankun Zuo, Yanyan Shen, Ning Zhong, C. L. Philip Chen, Baiying Lei, Shuqiang Wang

“…In this work, a novel model termed cross-modal transformer generative adversarial network (CT-GAN) is proposed to effectively fuse the functional and structural information contained in functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI). The CT-GAN can learn topological features and generate multimodal connectivity from multimodal imaging data in an efficient end-to-end manner. …”
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Machine Learning Exploration of Experimental Conditions for Optimized Electrochemical CO2 Reduction by Vuri Ayu Setyowati, Shiho Mukaida, Kaito Nagita, Takashi Harada, Shuji Nakanishi, Kazuyuki Iwase

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Advances in Deep Learning for Semantic Segmentation of Low-Contrast Images: A Systematic Review of Methods, Challenges, and Future Directions by Claudio Urrea, Maximiliano Vélez

“…It tackles primary challenges, such as diffuse boundaries and regions with similar pixel intensities, which limit conventional methods. …”
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Network control theory uncovers aberrant connectome controllability in trigeminal neuralgia by Tiantian Chu, Juan Peng, Feng Gao, Fei Xiong, Ye Tu

“…Methods Eighty-two TN patients and 42 healthy controls (HCs) underwent diffusion tensor imaging. Structural connectomes were constructed using deterministic tractography and parcellated with the Brainnetome atlas. …”
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Generative Artificial Intelligence for Hyperspectral Sensor Data: A Review by Diaa Addeen Abuhani, Imran Zualkernan, Raghad Aldamani, Mohamed Alshafai

“…Despite these advancements, challenges remain, particularly in developing computationally efficient models for super-resolution and data synthesis. …”
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Deepfake Face Detection and Adversarial Attack Defense Method Based on Multi-Feature Decision Fusion by Shanzhong Lei, Junfang Song, Feiyang Feng, Zhuyang Yan, Aixin Wang

“…Additionally, a Gram image texture feature module was designed and integrated into EfficientNet and the attention maps of WSDAN (Weakly Supervised Data Augmentation Network). …”
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A robust adaptive meta-sample generation method for few-shot time series prediction by Chao Zhang, Defu Jiang, Kanghui Jiang, Jialin Yang, Yan Han, Ling Zhu, Libo Tao

“…Experimental results on three real datasets prove the efficiency and effectiveness of JLSG-Diffusion. Compared with the benchmark methods, the prediction model combined with JLSG-Diffusion shows better accuracy.…”
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“I would be very proud to be part of an initiative that didn’t exclude people because it was hard”: mapping and contextualising health equity responsibilities and decision-making t... by Tristan Bouckley, David Peiris, Devaki Nambiar, Samuel Prince, Sallie-Anne Pearson, Gill Schierhout

“…We also identified six critical decision-making tensions that influenced health equity prioritisation during early implementation, reflecting participants’ perceptions that health equity prioritisation was in conflict with attention to other priorities. These were equity-efficiency; localisation-capacity for health equity; diffuse responsibilities-enforceability; invisible-vocal sub-populations; and health equity-sustainable business models for private providers. …”
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Unveiling the potential of far-UVC: Assessing irradiance and dose-response for microbial inactivation in UV systems by Sudhanshu Pandey, Aku Karvinen, Jani Hakala

“…These parameters include diffuse irradiance (UV lamp efficiency), UV transmittance (UVT), and Reynolds number. …”
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Application of Lightweight Thermal Insulation Building Materials for Green Building Design by Lifang Liu, Yuhang Zhai

“…As a result, on the basis of maintaining the residual heat of the building, the diffuse radiation of the ultraviolet rays of the sun is realized, which effectively improves the utilization efficiency of natural energy and reduces the consumption of internal energy. …”
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MAPPING OF RIVER WATER QUALITY USING INVERSE DISTANCE WEIGHTED INTERPOLATION IN OGUN-OSUN RIVER BASIN, NIGERIA by ADEBAYO OLUBUKOLA OKE, ABIMBOLA YISAU SANGODOYIN, KOLAWOLE OGEDENGBE, TAIWO OMODELE

“…Sustainable management of water resources involves inventory, conservation, efficient utilization, and quality management. Although, activities relating to quantity assessment and management in terms of river discharge and water resources planning are given attention at the basin level, water quality assessment are still being done at specific locations of major concern. …”
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Fabrication of a Ti porous microneedle array by metal injection molding for transdermal drug delivery. by Jiyu Li, Bin Liu, Yingying Zhou, Zhipeng Chen, Lelun Jiang, Wei Yuan, Liang Liang

“…However, porous MA received relatively less attention due to their complex fabrication process and ease of fracturing. …”
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Brain topology and cognitive outcomes after cardiac arrest: A graph theoretical analysis of fMRI data by Marlous M.L.H. Verhulst, Puck Lange, Anil Man Tuladhar, Prejaas Tewarie, Pauline C.W. van Gils, Caroline van Heugten, Judith Bonnes, Thijs Delnoij, Rick Helmich, Jeannette Hofmeijer

“…Since postanoxic encephalopathy is diffuse, measures of global network organization might contribute to identifying these patients at risk. …”
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Nowcasting Solar Irradiance Components Using a Vision Transformer and Multimodal Data from All-Sky Images and Meteorological Observations by Onon Bayasgalan, Atsushi Akisawa

“…As the solar share in energy generation is expanding globally, solar nowcasting is becoming increasingly important for the efficient and economical management of the power grid. …”
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Research on Ship Engine Fuel Consumption Prediction Algorithm Based on Adaptive Optimization Generative Network by Defu Zhang, Yuxuan Song, Jianfeng Gao, Zhenyu Shen, Liangkuan Li, Anren Yao

“…Furthermore, to overcome the limitations of existing models, such as insufficient prediction accuracy and poor stability under complex operating conditions, a Meta-learning Diffusion Residual Attention Network (MD-RAN) is proposed. …”
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Facile one-pot synthesis of photoresponsive Cu1.8S and CuInS2 nanostructures aided by Cu-pyrimidylthiolate molecular precursor by Suraj Peerappa Yadav, Adish Tyagi, Alpa Y. Shah, Deepak Tyagi, Sanjay Kumar, Gourab Karmakar, Rohit Singh Chauhan, Afsar Ali Siddiki

“…Copper-based binary and ternary sulfides have attracted significant attention due to their excellent photo-physical properties, making them highly promising for high-performance energy harvesting and storage devices. …”
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Policy texts and actions: quantitative evaluation of the hierarchical medical system policy in China based on the PMC-Index model by Liping Fu, Ruizhen Wang, Yu Dong

“…Additionally, we use academic attention, media coverage, and joint attention as policy implementation indicators and employ the Logit model to analyze the relationship between policy formulation and implementation. …”
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Synergistic Effect of Multi-field Force on Condensable Particulate Matter Properties and Behavior in Flue Gas: A Case Study in a Municipal Solid Waste Incineration Plant by Wenting Liu, Bowen Zhao, Qian Feng, Zhiyong Zhou, Jianyi Lu

“…Abstract At present, filterable particulate matter (FPM) emissions from stable source flue gases are well controlled, and the more difficult to remove condensable particulate matter (CPM) has received much attention due to its environmental hazards. In this study, we built a cold electrode electrostatic precipitator (CE-ESP) and systematically investigated the removal efficiency of CPM from municipal solid waste incineration plant flue gas by CE-ESP under three different operating modes. …”
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