SARMoistX: temporal forecasting of vegetation moisture using SAR imagery by Abdul Hanan, Mehak Khan, Meruyert Kenzhebay, Amir Miraki, Nieves Fernandez-Anez, Reza Arghandeh

“…To address this, we introduce SARMoistX, an explainable and scalable framework that integrates SAR C-band backscatter with weather data for temporal vegetation moisture prediction and leveraging eXplainable AI (XAI) techniques to interpret model decisions. …”
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Enabling beam-scanning antenna technologies for terahertz wireless systems: A review by Dongze Zheng, Geng-Bo Wu, Zhi Hao Jiang, Wei Hong, Chi Hou Chan, Ke Wu

“…Due to the exponentially growing global mobile data of wireless communications evolving from 5 G to 6 G in recent years, research activities of leveraging terahertz (THz) waves to obtain larger channel capacities have shown an ever-increasing pace and reached an unprecedented height than before. …”
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Human-based metaheuristics and non-parametric learning for groundwater-prone area mapping by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Seyedeh Zeinab Shogrkhodaei, Biswajeet Pradhan, Soo-Mi Choi

“…Existing GPM techniques often depend on parametric models, which may fail to capture the intricate patterns of groundwater distribution or adapt to varying data complexities. Traditional methods often struggle with optimizing model performance and handling complex, nonlinear relationships in environmental factors. …”
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Multi-Label Feature Selection with Graph-based Ant Colony Optimization and Generalized Jaccard Similarity by Sabah Robitan Mahmood, Tahsin Ali Mohammed Amin, Khalid Hassan Ahmed, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“… Multi-label learning is a technique that assigns multiple class labels to each data instance. The growth of digital technology resulted in the development of high-dimensional applications in real-world scenarios. …”
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Combining commercial microwave links and weather radar for classification of dry snow and rainfall by E. Øydvin, R. Gaban, R. Gaban, J. Andersson, R. (C. Z.) van de Beek, M. A. Wolff, M. A. Wolff, N.-O. Kitterød, C. Chwala, V. Nilsen

“…Both methods were evaluated using measurements from disdrometers located within 8 km of a CML, taken as ground truth. The analysis used data from Norway, including 550 CMLs in December 2021 and 435 CMLs in June 2022. …”
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Different Estimation Methods for the Unit Xgamma Distribution Using Ranked Set Sampling by Diaa S. Metwally, Amal S. Hassan, Ehab M. Almetwally, Laxmi Prasad Sapkota, Ahmed M. Gemeay, Mohammed Elgarhy

“…Furthermore, the results highlight the efficiency gains of RSS over SRS, as evidenced by improved accuracy metrics. Two real‐world applications, including COVID‐19 data from the United Kingdom and France, demonstrate the practical utility of our findings.…”
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Quantum Drugs (Q-Drugs): A New Discovery and Taboo Breaking Approach; Producing Carbon Quantum Dots from Drug Molecules by Gamze Camlik, Besa Bilakaya, Gökçe Karaotmarlı Güven, Esra Küpeli Akkol, Zelihagül Degim, Eduardo Sobarzo-Sánchez, Ismail Tuncer Degim

“…The results provide valuable data on the physicochemical properties of these Q-Drugs, paving the way for further investigation into their potential applications.…”
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Atmospheric pressure plasma treatment increases the antioxidant capacity of the serum in vitro by Yuqi Guo, Xi Zhang, Yanan Xing, Yuxuan Liu, Yixiao Liu, Liuya Jia, Lixin Xu, Gaosheng He, Jiting Ouyang, Xu Yan

“…Abstract The interaction of atmospheric pressure plasma (APP) with the liquids has been fully studied, and multiple biomedical applications of APP-activated liquids have also been verified. …”
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Improved Black-Winged Kite Algorithm with Multi-Strategy Optimization for Identifying <i>Dendrobium huoshanense</i> by Chaochuan Jia, Ting Yang, Maosheng Fu, Yu Liu, Xiancun Zhou, Zhendong Huang, Fang Wang, Wenxia Li

“…Furthermore, the support vector machine (SVM) model was optimized by BKAIM for grade identification of <i>Dendrobium huoshanense</i> based on near-infrared spectral data, thereby confirming its effectiveness in practical applications.…”
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Enhancing Last-Mile Logistics: AI-Driven Fleet Optimization, Mixed Reality, and Large Language Model Assistants for Warehouse Operations by Saverio Ieva, Ivano Bilenchi, Filippo Gramegna, Agnese Pinto, Floriano Scioscia, Michele Ruta, Giuseppe Loseto

“…The results suggest the usefulness of the approach while also identifying benefits and challenges in real-world applications.…”
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Optimization of Complex Cancer Morphology Detection Using the SIVQ Pattern Recognition Algorithm by Jason Hipp, Steven Christopher Smith, Jerome Cheng, Scott Arthur Tomlins, James Monaco, Anant Madabhushi, Lakshmi Priya Kunju, Ulysses J. Balis

“…For personalization of medicine, increasingly clinical and demographic data are integrated into nomograms for prognostic use, while molecular biomarkers are being developed to add independent diagnostic, prognostic, or management information. …”
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Progress in tension-relieving suturing surgery: revolutionary surgical techniques and patient prognosis evaluation methods by Maolong Ge, Weifeng Zheng, Ping Yao, Lin Gao, Xinyang Ge, Xinyang Ge, Qixin Zhang, Xiaolin Wang, Chuangju Guo

“…By integrating a wealth of literature and clinical data, the paper aims to elucidate the significant benefits and future prospects of tension-relieving strategies in enhancing wound repair quality, lowering scar risk, and advancing surgical innovation.…”
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Human Umbilical Cord Mesenchymal Stem Cell-Derived Extracellular Vesicles Inhibit Endometrial Cancer Cell Proliferation and Migration through Delivery of Exogenous miR-302a by Xin Li, Li li Liu, Ju lei Yao, Kai Wang, Hao Ai

“…Meanwhile, the proliferation and migration were significantly inhibited in endometrial cancer cells when cultured with miR-302a-loaded extracellular vesicles derived from hUCMSCs. Importantly, our data showed that engineered extracellular vesicles rich in miR-302 significantly inhibited the expression of cyclin D1 and suppressed AKT signaling pathway in endometrial cancer cells. …”
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Structural insights into retinoic acid receptor activation and selective modulators by Yining Song, Wenrui Zhao, Xuan Huang, Lai Wei, Jingyi Han, Jiayun Hou, Min Li, Xin Cao

“…The potential for developing selective RAR modulators is highlighted, along with the need for comprehensive structural data to enhance our understanding of RAR functions in disease contexts. …”
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Experimental Study on Shear Failure of 30 m Pre-Tensioned Concrete T-Beams Under Small Shear Span Ratio by Qianyi Zhang, Hai Yan, Chunlei Zhang, Ding-Hao Yu, Jiaolei Zhang, Gang Li, Mingguang Wei, Jinglin Tao, Huiteng Pei

“…This is primarily due to insufficient experimental data. This paper details a full-scale experimental investigation on the shear failure mechanisms of two 30 m pre-tensioned concrete T-beams with draped strands, under a shear span ratio of 1, at which the shear capacity of the beams represents their upper limit. …”
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Microstructure, electrical properties, bioactivity, biocompatibility and osteogenic differentiation ability of bio-piezocomposite fabricated by hydroxyapatite and (Ba,Ca)(Ti,Sn)O3-... by Geng Tang, Hong Yang, Bingqing Zhao, Dunying Wang, Fangfang Zeng, Qibin Liu

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Quantifying the intra- and inter-species community interactions in microbiomes by dynamic covariance mapping by Melis Gencel, Gisela Marrero Cofino, Cang Hui, Zahra Sahaf, Louis Gauthier, Chloé Matta, David Gagné-Leroux, Derek K. L. Tsang, Dana P. Philpott, Sheela Ramathan, Alfredo Menendez, Shimon Bershtein, Adrian W. R. Serohijos

“…The DCM framework provides a scalable method to dissect complex community interactions and is broadly applicable to bacterial ecosystems both in vitro and in situ.…”
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Bacterial-based drug delivery systems: A new way to combat infectious disease by Parastoo TabibzadehTehrani, Mina Nazari, Pedram Rastgoo, Niloofar Seyed Bolouri, Reyhaneh HeydariKarsaf, Abtin Hadiani, Zeinab Mohsenipour

“…Despite these advancements, there remains a lack of cohesive data regarding bacterial DDS in the treatment of infectious diseases. …”
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Rapid screening and optimization of CO2 enhanced oil recovery operations in unconventional reservoirs: A case study by Shuqin Wen, Bing Wei, Junyu You, Yujiao He, Qihang Ye, Jun Lu

“…Three different methods, namely random forest (RF), support vector regression (SVR), and artificial neural network (ANN), were used to establish proxy models using the data from a specific unconventional reservoir, and the RF model demonstrated a preferable performance. …”
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Clinical nurses’ evidence-based healthcare competence and associated factors: a regional cross-sectional study by Shuang Wang, Jin Liang, Xishun Zhang, Xia Xiang, Liqin Song, Xiaofen Wu, Lin Xiao, Zhihui Yang, Yuanyuan Luo, Qianying Huang, Xiaoxue Wei, Ning Wang, Lili Zhang

“…Clinical trial number Not applicable.…”
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