Identification of Shared Biomarkers in Chronic Kidney Disease and Diabetic Nephropathy Using Single-Cell Sequencing by Ma JS, Yang J, Wang WC, Quan YX, Liao XN, Bai YH, Jiang HY

“…The intersection of DEGs between the disease samples and the control samples was extracted, and a Protein-Protein Interaction (PPI) network was constructed using these intersecting genes, with biomarkers identified through the STRING database. …”
Get full text

Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

“…Our workflow emphasizes the importance of well-structured preprocessing pipelines missing data handling, categorical feature encoding, and multicollinearity reduction, paired with classical machine learning models. We evaluated our method on the ToN-IoT dataset, which contains various network traffic data sets and various types of attacks. …”
Get full text

A Systematic Review and Meta-analysis of Most Endoparasites and Ectoparasites during Past Decade in Iraq by Karwan S. Najm Al-Marjan, Hawri H. Mohammed Jabbary, Liza J. Yousif, Fouad H. Kamil, Najat J. Ahmed

“…The aim of any reviewed data analysis is to obtain an accurate picture of a particular health problem and they are used to finding out the variation of specific health problems, diagnose patterns in existence of the problem, determine any potent reasons and risk factors, evaluate the efficacy of protection scale and care them. …”
Get full text

M.I.N.I.-KID interviews with adolescents: a corpus-based language analysis of adolescents with depressive disorders and the possibilities of continuation using Chat GPT by Irina Jarvers, Angelika Ecker, Pia Donabauer, Katharina Kampa, Maximilian Weißenbacher, Daniel Schleicher, Stephanie Kandsperger, Romuald Brunner, Bernd Ludwig

“…The transcribed interviews comprised 4,077 question-answer-pairs, with which we predicted the clinical rating (depressive/non-depressive) with use of a feedforward neural network that received BERT (Bidirectional Encoder Representations from Transformers) vectors of interviewer questions and patient answers as input. …”
Get full text

Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM) by Yasser Alatawi, Palanisamy Amirthalingam, Narmatha Chellamani, Manimurugan Shanmuganathan, Mostafa A. Sayed Ali, Saleh Fahad Alqifari, Vasudevan Mani, Muralikrishnan Dhanasekaran, Abdulelah Saeed Alqahtani, Ahmed Aljabri

“…The primary objective of this research is to implement sensor devices/smart wearables powered by advanced deep learning (DL) techniques to evaluate complex data patterns effectively and make accurate predictions. …”
Get full text

Measurement and optimization of sustainable urban form elements in New Urban districts using multi-source data by Yanfeng Zhang, Xiaohui Wang, Longsheng Wang, Guangyu Li, Yige Zhang, Yu Ye, Hongqiang Jiang, Shaoyun Zhong, Junxi Song

“…The research results provide a reference for evaluating the current sustainable challenges of spatial patterns and offer specific tools for optimizing new urban districts.…”
Get full text

Study on the mechanical properties of stratified rock mass based on 3D printing technology and FDEM algorithm by Yongchao Tian, Kaifang Ren, Fan He, Yong Liu, Penghai Deng, Jiaqi Guo, Feiyue Sun, Xin Huang, Jun Zhang

“…The weak regions in engineering mainly include bedding plane and crack network, whose mechanical properties have a significant impact on the stability of geotechnical engineering. …”
Get full text

Dynamic Impact of One-Year Integrated Rice–Crayfish Farming on Bacterioplankton Communities in Paddy Water by Yiran Hou, Qiancheng Xu, Yanhong Yang, Rui Jia, Xiongjian Huang, Linjun Zhou, Bing Li, Jian Zhu

“…As global food security issues become increasingly severe, an important innovation in agricultural production patterns, namely integrated rice–fish farming, has been widely implemented around the world, especially in Asia. …”
Get full text

RoofMapNet: Utilizing geometric primitives for depicting planar building roof structure from high-resolution remote sensing imagery by Jiaqi Wang, Guanzhou Chen, Xiaodong Zhang, Tong Wang, Xiaoliang Tan, Qingyuan Yang, Wenlin Zhou, Kun Zhu

“…In this paper, we introduce an end-to-end network called RoofMapNet, specifically designed for extracting roof structures. …”
Get full text

Leveraging edge computing and deep learning for the real-time identification of bean plant pathologiesBean Plant Pathologies Dataset for Deep Learning Tasks by Andrew Katumba, Wayne Steven Okello, Sudi Murindanyi, Joyce Nakatumba-Nabende, Moses Bomera, Ben Wycliff Mugalu, Amos Acur

“…We evaluate image classification and object detection models using state-of-the-art Convolutional Neural Network (CNN) architectures to identify Angular Leaf Spot (ALS) and bean rust diseases, key bean diseases in Uganda and the region in general, from smartphone images of bean leaves collected in various districts of Uganda.The dataset employed to train these models is the Makerere University beans image dataset, comprising 15,335 images categorized into three (3) classes (ALS, bean rust, and healthy). …”
Get full text

Simulating the drought response of European tree species with the dynamic vegetation model LPJ-GUESS (v4.1, 97c552c5) by B. F. Meyer, J. P. Darela-Filho, K. Gregor, A. Buras, Q.-L. Gu, A. Krause, D. Liu, P. Papastefanou, S. Asuk, T. E. E. Grams, C. S. Zang, A. Rammig

“…We quantify the uncertainty introduced by the new processes using a variance-based global sensitivity analysis. Additionally, we evaluate the model against water and carbon fluxes from a network of eddy covariance flux sites across Europe. …”
Get full text

Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records by Noorul Husna Abd Rahman, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khallel Al-Ani, D. Jerline Sheebha Anni, Prabu Mohandas

“…Then, four machine learning algorithms and three deep learning networks are evaluated to determine the best predictive model. …”
Get full text

Temporal and Spatial Dynamics of Summer Crop Residue Burning Practices in North China: Exploring the Influence of Climate Change and Anthropogenic Factors by Shuai Yin, Kunpeng Yi, Xiu Zhang, Tangzhe Nie, Lingqi Meng, Zhongyi Sun, Qingnan Chu, Zhipin Ai, Xin Zhao, Lan Wu, Meng Guo, Xinlu Liu

Get full text

Early detection of retinal and choroidal microvascular impairments in diabetic patients with myopia by Yufei Wu, Yufei Wu, Jiahui Jiang, Xiaoyu Deng, Xixi Zhang, Jinger Lu, Zian Xu, Yitian Zhao, Zai-Long Chi, Zai-Long Chi, Qinkang Lu, Qinkang Lu

“…A ResNet-50 convolutional neural network was further applied to analyze vascular density patterns and assist in DR grading. …”
Get full text

Weaving oral health provider perspectives to guide future dental therapy advocacy and implementation efforts by Amanda J. Llaneza, Amanda J. Llaneza, Kara A. Stone, Julie Seward

“…From attendee's open-ended statements on objectives for attending this conference, key patterns were described.ResultsOne hundred people nationwide attended the conference. …”
Get full text

A scoping review of the methods used to estimate health facility catchment populations for child health indicators in sub-Saharan Africa by Matthew Johnson, Wole Ademola Adewole, Victor Alegana, C. Edson Utazi, Nuala McGrath, James Wright

“…Few studies used data produced by or describing health facilities to link estimation methods to service utilisation patterns, inter-facility competition or facility characteristics. …”
Get full text

To explore the potential of LOXL2 as a biomarker in glioma and construct a genomic integrated clinical prognostic model by Hongjuan Wang, Qunli Li, Xiangtao Zheng, Weibiao Chen

“…Analyzed LOXL2 expression patterns, GO/KEGG pathways, immune infiltration, single-cell distribution (scRNA-seq), and survival associations. …”
Get full text

Pan-cancer analysis identifies CLEC12A as a potential biomarker and therapeutic target for lung adenocarcinoma by Desheng Zhou, Yachao Cui, Tianxiang Liang, Zhenpeng Wu, Haiping Yan, Yingchang Li, Wenguang Yin, Yunen Lin, Qiang You

“…In addition, Weighted Gene Co-Expression Network Analysis (WGCNA) and differential expression analysis were performed to examine the biological relevance of CLEC12A in lung adenocarcinoma (LUAD). …”
Get full text

Interaction between post-tumor inflammation and vascular smooth muscle cell dysfunction in sepsis-induced cardiomyopathy by Rui Liu, Lina Jia, Lin Yu, Detian Lai, Qingzhu Li, Bingyu Zhang, Enwei Guo, Kailiang Xu, Qiancheng Luo

“…Weighted gene co-expression network analysis (WGCNA), gene ontology (GO), and KEGG pathway enrichment analyses were utilized to elucidate the biological significance of these genes. …”
Get full text

Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…The study utilized Multiple Linear Regression (MLR) and machine learning models, including Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Network (ANN), and an ensemble of the four single models. …”
Get full text