IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning by Ahmad Jalal, Danyal Khan, Touseef Sadiq, Moneerah Alotaibi, Sultan Refa Alotaibi, Hanan Aljuaid, Hameedur Rahman

“…The system was evaluated using the LARa and HWU-USP datasets, achieving classification accuracies of 92% and 93%, respectively. …”
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Optoelectric coordinated modulation of resistive switching behavior in perovskite based synaptic device by Yucheng Wang, Ruixi Huang, Wenyi Zhang, Dingyun Guo, Jiawei Zheng, Hexin Wang, Fobao Huang, Zhuoya Wang, He Guan

“…The recognition accuracies of 89.8% / 88.1% (electric synapse) are enhanced to 92.4% / 92.2% after the introduction of optoelectronic cooperative stimulation on the 8 × 8 and 28 × 28 modified national institute of standards and technology (MNIST) handwritten digit datasets. This study holds significant implications for guiding the optoelectronic co-regulation of perovskite synaptic devices in the field of synaptic electronics.…”
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An overview of the transboundary dust events in southeastern Turkmenistan near the border of Iran (Sarakhs-Badkhyz region) by Mohammad Reza Mansouri Daneshvar, Seyed Javad Rasouli, Aliasghar Dehqanpour Aliaqa

“…The remotely sensed investigation of this study was supported with local and international re-analyzed datasets (e.g., IRIMO, Eumetsat, and NASA). A drastic temperature increase triggers evaporation and also dryness of the sandy deserts in southeastern Turkmenistan. …”
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A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data by Vasileios Skaramagkas, Ioannis Kyprakis, Georgia S. Karanasiou, Dimitris I. Fotiadis, Manolis Tsiknakis

“…DL models can analyze vast and complex datasets, including patient-reported outcomes, medical images, and physiological signals, enabling a deeper understanding of factors influencing an individual's QoL. …”
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Dynamic switching between brain networks predicts creative ability by Qunlin Chen, Yoed N. Kenett, Zaixu Cui, Hikaru Takeuchi, Andreas Fink, Mathias Benedek, Daniel C. Zeitlen, Kaixiang Zhuang, James Lloyd-Cox, Ryuta Kawashima, Jiang Qiu, Roger E. Beaty

“…Therefore, we provide robust evidence across multi-center datasets that creativity is tied to the capacity to dynamically switch between brain networks supporting spontaneous and controlled cognition.…”
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Mendelian randomization study of serum uric acid levels and urate-lowering drugs on pulmonary arterial hypertension outcomes by Xiaoling Yao, Xin Cai, Shaoqin Zhang, Yuzheng Yang, Xiangyan Yang, Wukai Ma, Zong Jiang

“…Utilizing published genome-wide association study (GWAS) data, we applied MR and colocalization analysis to assess the link between serum uric acid levesl and PAH across four GWAS datasets from two distinct European populations. The validity and reliability of these findings were confirmed through multiple statistical methods, along with an MR analysis of urate-lowering drug targets to investigate their potential effects on PAH treatment. …”
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Comparative Analysis of AES, Blowfish, Twofish, Salsa20, and ChaCha20 for Image Encryption by Rebwar Khalid Muhammed, Ribwar Rashid Aziz, Alla Ahmad Hassan, Aso Mohammed Aladdin, Shaida Jumaah Saydah, Tarik Ahmed Rashid, Bryar Ahmad Hassan

“…A comparative analysis of several symmetric key ciphers was performed, focusing on handling large datasets. Despite this limitation, comparing different images helped evaluate the techniques' novelty. …”
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Dealing With the Complexity of Effective Population Size in Conservation Practice by Ancuta Fedorca, Joachim Mergeay, Adejoke O. Akinyele, Tamer Albayrak, Iris Biebach, Alice Brambilla, Pamela A. Burger, Elena Buzan, Ino Curik, Roberta Gargiulo, José A. Godoy, Santiago C. González‐Martínez, Christine Grossen, Myriam Heuertz, Sean Hoban, Jo Howard‐McCombe, Maria Kachamakova, Peter Klinga, Viktoria Köppä, Elenora Neugebauer, Ivan Paz‐Vinas, Peter B. Pearman, Laia Pérez‐Sorribes, Baruch Rinkevich, Isa‐Rita M. Russo, Adélaïde Theraroz, Nia E. Thomas, Marjana Westergren, Sven Winter, Linda Laikre, Alexander Kopatz

“…We set out to identify datasets to evaluate the sensitivity of Ne estimation methods to violations of underlying assumptions and to develop data analysis strategies that addressed pressing issues in biodiversity monitoring and conservation. …”
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Development of data-driven algal bloom alert models with low temporal resolution data and application to Hong Kong rivers by Shujie Xu, Zhongnan Ye, Shu-Chien Hsu, Xiaoyi Liu, Chunmiao Zheng

“…This study offers a potential solution for prediction and forecasting without extensive datasets and emphasizes the importance of integrating domain knowledge in both prior and posterior analyses to enhance the interpretability of data-driven models in water science.…”
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Future changes in compound explosive cyclones and atmospheric rivers in the North Atlantic by F. Lopez-Marti, F. Lopez-Marti, M. Ginesta, D. Faranda, A. Rutgersson, A. Rutgersson, P. Yiou, L. Wu, G. Messori, G. Messori, G. Messori

“…In agreement with the literature, atmospheric rivers are more often detected in the vicinity of explosive cyclones than non-explosive cyclones in all datasets, and the atmospheric river intensity increases in all the future scenarios analysed. …”
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A Tensor-Based Go Decomposition Method for Hyperspectral Anomaly Detection by Meiping Song, Xiao Zhang, Lan Li, Hongju Cao, Haimo Bao

“…Experimental results on multiple real hyperspectral datasets verify the effectiveness of the TGODEC and TGODEC-AD methods. …”
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Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties by Anna Maria Kaczmarek, Małgorzata Muzolf-Panek, Jolanta Tomaszewska-Gras, Piotr Konieczny

“…Also Principal Component Analysis (PCA) and Cluster Analysis (CA) were performed as initial steps of data mining. The datasets consisted of 72 honey samples (false acacia, rape, buckwheat, honeydew, linden, nectar-honeydew and multifloral) obtained from different regions of Poland and collected between April 2014 and November 2016. …”
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RGB-T Object Detection With Failure Scenarios by Qingwang Wang, Yuxuan Sun, Yongke Chi, Tao Shen

“…Experimental results on the DroneVehicle and VEDAI datasets show that DENet performs outstandingly in multimodal object detection tasks, effectively improving detection accuracy and reducing the impact of modality failure on performance.…”
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Tongue-LiteSAM: A Lightweight Model for Tongue Image Segmentation With Zero-Shot by Daiqing Tan, Hao Zang, Xinyue Zhang, Han Gao, Ji Wang, Zaijian Wang, Xing Zhai, Huixia Li, Yan Tang, Aiqing Han

“…Results: Experiments conducted on six distinct tongue image datasets demonstrated that the Tongue-LiteSAM model outperformed traditional convolutional neural network-based models and transformers, the original SAM model, and other related improved models in tongue image segmentation tasks. …”
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Towards neuromorphic compression based neural sensing for next-generation wireless implantable brain machine interface by Vivek Mohan, Wee Peng Tay, Arindam Basu

“…We demonstrate that a data CR of 15–265 per channel can be achieved by transmitting address-event pulses for two different biological datasets. The CR further increases to 200– $50\mathrm{K}$ per channel, 50 × more than in prior works, by the selective transmission of event pulses corresponding to neural spikes. …”
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Identifying human activities causing water pollution based on microbial community sequencing and source classifier machine learning by Zhangmu Jing, Yi Zhang, Xiaoling Liu, Qingqian Li, Yanji Hao, Yeqing Li, Hongjie Gao

“…Machine learning (ML) is a powerful analytical tool for tracking human impacts on river ecosystems based on high-through datasets. This study employed an ML framework and 16S rRNA sequencing data to reveal microbial dynamics and trace human activities across China. …”
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Smoking as a causative factor in chronic kidney disease: a two-sample Mendelian randomization study by Yue Yang, Zheng Zhang, Hai-tao Lu, Qian-qian Xu, Li Zhuo, Wen-ge Li

“…External validation was conducted using independent datasets. The results revealed positive associations between CKD and smoking initiation (Pivw = 1.8 × 10−2, OR = 1.192), earlier age at initiation (Pivw = 2.3 × 10−3, OR = 1.481), cigarettes smoked per day (Pivw = 8.8 × 10−3, OR = 1.216), and lifetime smoking (Pivw = 2.3 × 10−7, OR = 2.445). …”
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Optimizing water resource management in tropical drought-prone regions through hybrid MCDM techniques: A water-stress mapping approach by Suman Mukherjee, Suman Paul, Subhasis Bhattacharya, Aznarul Islam, Sadik Mahammad, Edris Alam

“…Our study advances the ability of water-stress area identification, applying integrated methods and comprehensive geospatial datasets in a water-scarce region.…”
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Comprehensive performance evaluation of satellite-based and reanalysis rainfall estimate products in Ethiopia: For drought, flood, and water resources applications. by Desta Yoseph Wodebo, Assefa M Melesse, Tekalegn Ayele Woldesenbet, Kirubel Mekonnen, Ahmed Amdihun, Diriba Korecha, Hailay Zeray Tedla, Gerald Corzo, Asaminew Teshome

“…Study Region Ethiopia: This study assessed the accuracy of ten satellite-based and reanalysis rainfall estimation products across Ethiopia via direct comparisons with 430 in-situ datasets from 2001 to 2020. The performance of these rainfall products at various spatial and temporal scales was validated via five continuous and six categorical metrics to identify the most reliable products for the application of drought monitoring, flood risk analysis, and water resources management in 92 zonal administrative and 76 subbasins boundaries in Ethiopia. …”
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Harmonizing multisite neonatal diffusion-weighted brain MRI data for developmental neuroscience by Alexandra F. Bonthrone, Manuel Blesa Cábez, A. David Edwards, Jo V. Hajnal, Serena J. Counsell, James P. Boardman

“…When comparing single site and multisite harmonized datasets of equal sample sizes, harmonized data resulted in smaller standardized regression coefficients. …”
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