Accurate Rainfall Prediction Using GNSS PWV Based on Pre-Trained Transformer Model by Wenjie Yin, Chen Zhou, Yuan Tian, Hui Qiu, Wei Zhang, Hua Chen, Pan Liu, Qile Zhao, Jian Kong, Yibin Yao

“…The proposed model employs the ProbSparse self-attention to efficiently capture long-range dependencies in time series data, crucial for correlating historical PWV variations with rainfall events. …”
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Preventative Cancer Vaccine-Elicited Human Anti-MUC1 Antibodies Have Multiple Effector Functions by Michelle L. McKeague, Jason Lohmueller, Matthew T. Dracz, Najla Saadallah, Eric D. Ricci, Donella M. Beckwith, Ramya Ayyalasomayajula, Maré Cudic, Olivera J. Finn

“…Twelve of these fully human monoclonal antibodies (mAb) were tested for binding to MUC1+ target cells, and three with the highest binding were further evaluated for various effector functions important for tumor rejection. Methods: Immune cells were incubated together with target cells expressing variations in the number, distance, and membrane anchoring properties of the MUC1 epitope in the presence of each mAb. …”
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Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans by Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, Khan Mohammad Ibtehal, Mahfujur Rahman, Noshin Tabassum Hridita, Atika Afia Broty, Muhammad Sajid Anam Hoque

“…This integration provides a more efficient alternative to traditional methods, which are resource-intensive and less practical for large-scale, remote areas.Our findings demonstrate that this semi-automated technique is a valuable tool for continuous water quality monitoring, particularly in ecologically sensitive areas with limited accessibility. …”
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Dynamic Optimization of Recurrent Networks for Wind Speed Prediction on Edge Devices by Laeeq Aslam, Runmin Zou, Ebrahim Shahzad Awan, Sayyed Shahid Hussain, Muhammad Asim, Samia Allaoua Chelloug, Mohammed A. ELAffendi

“…While edge computing offers a viable alternative, current WSP methods prioritize hyperparameter optimization without constraining model size (MS), resulting in memory-intensive architectures incompatible with resource-limited devices. …”
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Deep learning-based classification of lymphedema and other lower limb edema diseases using clinical images by Thanat Lewsirirat, Taravichet Titijaroonroj, Sirin Apichonbancha, Ason Uthatham, Veera Suwanruangsri, Nirut Suwan, Surakiat Bokerd, Tossapol Prapassaro, Wanchai Chinchalongporn, Nutcha Yodrabum

“…Conventional diagnostic methods rely heavily on clinical expertise, which may fail to distinguish subtle variations between these conditions. …”
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ETAFHrNet: A Transformer-Based Multi-Scale Network for Asymmetric Pavement Crack Segmentation by Chao Tan, Jiaqi Liu, Zhedong Zhao, Rufei Liu, Peng Tan, Aishu Yao, Shoudao Pan, Jingyi Dong

“…However, crack structures often exhibit asymmetry, irregular morphology, and multi-scale variations, posing significant challenges to conventional CNN-based methods in real-world environments. …”
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Degradation of low-density polyethylene by a novel strain of bacteria isolated from the plastisphere of marine ecosystems by F.A. Febria, A. Syafrita, A. Putra, H. Hidayat, C. Febrion

“…Biodegradation is an efficient, environmentally friendly, and sustainable option to overcome these problems. …”
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Rapid and Accurate Measurement of Major Soybean Components Using Near-Infrared Spectroscopy by Chenxiao Li, Jiatong Yu, Sheng Wang, Qinglong Zhao, Qian Song, Yanlei Xu

“…This study provides technical and theoretical support for achieving the efficient and accurate detection of major soybean components and for the development of portable near-infrared (NIR) instruments. …”
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Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging by K. Murugan, SatheeshKumar Palanisamy, N. Sathishkumar, Tagrid Abdullah N. Alshalali

“…Abstract Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet accurate and efficient segmentation remains a significant challenge due to complex tumor structures and variations in imaging modalities. …”
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CBCT-to-CT synthesis using a hybrid U-Net diffusion model based on transformers and information bottleneck theory by Can Hu, Ning Cao, Xiuhan Li, Yang He, Han Zhou

“…Second, we incorporate a variational information bottleneck module at the base of the U-Net. …”
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Crop yield prediction in agriculture: A comprehensive review of machine learning and deep learning approaches, with insights for future research and sustainability by Md. Abu Jabed, Masrah Azrifah Azmi Murad

“…Through a systematic literature review and analysis of relevant studies, this paper explores the role of AI methods, such as Machine Learning (ML) and Deep Learning (DL), in addressing the complexities posed by geographical variations, crop diversity, and cultivation areas. …”
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Promoting sustainable agriculture in Devdaha Municipality, Nepal: leveraging agroforestry to address challenges and enhance food security by Sailesh Ranjitkar, Mohammad Ayub, Ukesh Raj Bhuju, Nani Maiya Sujakhu

“…Utilizing purposive sampling, interviews, focus group discussions, expert consultations, and direct observations followed by mixed methods analysis, farming practices were examined, the marketability of agricultural products were assessed, and interventions for improvement were proposed. …”
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New technique of end to side two layered and stented duct to mucosa pancreaticojejunostomy with omental wrapping during Whipple operation by Hesham A. Elmeligy, Ahmed M. Azzam, Yousra Ossama, Mahmoud Rady

“…Results There were no discernible variations in the clinical traits of the two groups. …”
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Hybrid pre trained model based feature extraction for enhanced indoor scene classification in federated learning environments by Monica Dutta, Deepali Gupta, Vikas Khullar, Sapna Juneja, Roobaea Alroobaea, Pooja Sapra

“…Primitive classification methods like Support Vector Machines (SVM) and K-Nearest Neighbors (KNN), provide a compromised performance with complex indoor environments due to light variations, intra-class similarities, and occlusions. …”
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Impact of manufacturing structure upgrading on industrial land prices from the perspective of government intervention: Take Beijing-Tianjin-Hebei and Yangtze River Delta urban aggl... by LIN Ruihan, ZHU Daolin, QI Yuan

“…[Objective] As an essential production factor for business operation, industrial land prices play an important role in promoting the efficient use of urban industrial land and supporting regional industrial economic growth. …”
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HiImp-SMI: an implicit transformer framework with high-frequency adapter for medical image segmentation by Lianchao Huang, Feng Peng, Binghao Huang, Yinghong Cao

“…Accurate and generalizable segmentation of medical images remains a challenging task due to boundary ambiguity and variations across domains. In this paper, an implicit transformer framework with a high-frequency adapter for medical image segmentation (HiImp-SMI) is proposed. …”
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Bayesian spatio-temporal disease mapping of COVID-19 cases in Bangladesh. by Sefat-E- Barket, Md Rezaul Karim, Md Sifat Ar Salan

“…<h4>Methods</h4>The study employed Bayesian spatio-temporal Poisson modeling to determine the most suitable model, including linear trend, analysis of variance (ANOVA), separable models, and Poisson temporal model for spatiotemporal effects. …”
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Response Time and Influencing Factors Among Emergency Nurses in Indonesian Hospital: A Scoping Review of Current Evidence by Ramdani D, Kosasih CE, Emaliyawati E

“…The included studies focused on empirical measurements of response times, defined as the time from patient arrival to initial treatment, with a particular interest in examining variations across different hospital levels and regions within Indonesia. …”
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Effectiveness of Reso-Pac in enhancing wound healing after third molar surgery: a systematic review with meta-analysis of randomized controlled trials by Savitha Lakshmi Raghavan, Gowardhan Sivakumar, Sasidharan Sivakumar

“…Conclusions Reso-Pac significantly reduces postoperative pain and promotes efficient wound healing in patients undergoing surgical removal of impacted mandibular third molars. …”
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Evaluation of eosinophil, immune-globulin E and Interleukin 6 levels in bronchial asthmatic children after management with needle and laser acupuncture by Inas E M. Ahmed Kamel, Hala H. Shaaban, Emad N Zikri

“…Patients and methods In this randomized controlled clinical trial, we included 75 patients divided into three groups. …”
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