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

“…The calculation of the technology distribution rate showed that without the use of technological corridors and the systematic introduction by energy companies, the peak of adoption can be reached by 8 years from the start of implementation.Non-intrusive load monitoring allows you to get a wide range of data in order to further optimize energy consumption, increase the efficiency of enterprises, monitor the operation of equipment. …”
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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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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

“…We compare the performance of 25 models, evaluating accuracy (e.g., mean Intersection over Union (mIoU), Dice Similarity Coefficient (DSC)), computational efficiency, and robustness across benchmark datasets relevant to automation and robotics. …”
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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

“…Conclusions TN is characterized by aberrant network controllability, manifesting as reduced efficiency in routine state transitions and increased energy requirements for network control. …”
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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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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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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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“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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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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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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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

“…This study focuses on the synthesis and structural characterization of an air-stable hexanuclear Cu-pyrimidylthiolate cluster complex which serves as an efficient single-source precursor for the preparation of Cu1.8S nanocrystals. …”
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Improving diesel engine performance with hydrogen-fumigated soapnut biodiesel by Christopher Selvam D, Yuvarajan Devarajan, Aditya Kishore Dash, Shivendu Saxena, Beemkumar Nagappan, Vinod Kumar Singh, Prabhukumar Sellamuthu

“…Notwithstanding its ecological advantages, SFB is accompanied by increased emissions of nitrogen oxides (NOx) and a reduction in engine efficiency. This investigation examines the ramifications of hydrogen fumigation on the combustion efficiency and emission characteristics of a single-cylinder compression ignition (CI) engine operating on SFB. …”
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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

“…Thus, TPMA can continually and efficiently deliver a liquid drug through open micropores in skin.…”
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Revealing ZnMn3O7 as an advanced cathode material for Zn-ion batteries by Keerthana A.G., Adarsh Sunilkumar, Neeraja Nair, Shantikumar V. Nair, Senthilkumar Baskar

“…ZnMn3O7 (ZMO) has recently gained attention as a potential cathode for aqueous energy storage systems, attributed to its layered structure, abundant manganese redox centers, and intrinsic vacancy sites that enable efficient ion diffusion. …”
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A Comprehensive Review on Next-Generation Modeling and Optimization for Semiconductor Devices by Pratikhya Raut, Deepak Kumar Panda, Amit Kumar Goyal

“…The integration of physics-based modelling and artificial intelligence (AI) is transforming semiconductor device simulation, facilitating unparalleled precision, efficiency, and predictive power. Conventional semiconductor modelling is based on first-principles physics, including drift-diffusion equations, Boltzmann transport models, and quantum mechanical methods. …”
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Nonaqueous Electrolyte Rechargeable Manganese Batteries with Potassium Manganese Hexacyanoferrate Cathodes by Jangwook Pyun, Hyeonjun Lee, Seunghyeop Baek, Sangki Lee, Hyeju Kwon, Hyeongseok Lee, Chung‐Yul Yoo, Munseok S. Chae

“…The manganese hexacyanoferrate cathode exhibits an average operating voltage of 1.7 V and a discharge capacity of 73.4 mAh g−1 at 0.1 A g−1, retaining 71.1% capacity after 1500 cycles at 0.2 A g−1. Diffusion pathways and barriers reveal efficient 3D Mn2⁺ ion diffusion pathways within the manganese hexacyanoferrate framework, with a low migration barrier of 0.514 eV. …”
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