Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki Disease by Hongjun Ba, Yao Wang, Lili Zhang, Huishen Wang, Zhan-Peng Huang, Youzhen Qin

“…The Gene Expression Omnibus database was utilized to retrieve two freely accessible gene expression patterns (GSE68004 and GSE18606 datasets) from human KD and control specimens. 114 KD, as well as 46 control specimens, were searched for obtaining differentially expressed genes (DEGs). …”
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HAD-YOLO: An Accurate and Effective Weed Detection Model Based on Improved YOLOV5 Network by Long Deng, Zhonghua Miao, Xueguan Zhao, Shuo Yang, Yuanyuan Gao, Changyuan Zhai, Chunjiang Zhao

“…Experimental results show that on the dataset collected in the greenhouse, the <i>mAP</i> for weed detection is 94.2%; using this as the pre-trained weight, on the dataset collected in the field environment, the <i>mAP</i> for weed detection is 96.2%, and the detection FPS is 30.6. …”
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Prediction of Future Terrorist Activities Using Deep Neural Networks by M. Irfan Uddin, Nazir Zada, Furqan Aziz, Yousaf Saeed, Asim Zeb, Syed Atif Ali Shah, Mahmoud Ahmad Al-Khasawneh, Marwan Mahmoud

“…Our experiments also demonstrate that the dataset for terrorist activities is big data; therefore, a DNN is a suitable model to process big data and understand the underlying patterns in the dataset.…”
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Machine learning-based prediction of the mechanical properties of β titanium shape memory alloys by Naoki Nohira, Taichi Ichisawa, Masaki Tahara, Itsuo Kumazawa, Hideki Hosoda

“…The primary reasons for the discrepancy in this study include the small dataset size and the absence of microstructural features. …”
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A Narrative Review of Prognostic Gene Signatures in Oral Squamous Cell Carcinoma Using LASSO Cox Regression by Nur Fatinazwa Mohd Faizal, Saptarsi Shai, Bansi P. Savaliya, Lee Peng Karen-Ng, Rupa Kumari, Rahul Kumar, Vui King Vincent-Chong

“…As the Cancer Genome Atlas (TCGA) dataset is available in HNSCC, the survival analysis prognosis of OSCC patients based on the TCGA dataset for discovering gene expression-based prognostic biomarkers is limited. …”
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Enhanced Expression of NR2B Subunits of NMDA Receptors in the Inherited Glaucomatous DBA/2J Mouse Retina by Ling-Dan Dong, Jie Chen, Fang Li, Feng Gao, Jihong Wu, Yanying Miao, Zhongfeng Wang

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Evaluation of the initial rollout of the physical activity referral standards policy in Scotland: a qualitative study by Paul Kelly, Nadine Dougall, Coral L Hanson, Lis Neubeck, Sheona Mchale

“…Views about the minimum dataset (suggested essential or desirable data fields to be collected for monitoring and evaluation) contained in the standards were divided. …”
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Identification of ubiquitination-related key biomarkers and immune infiltration in Crohn’s disease by bioinformatics analysis and machine learning by Wei Chen, Zeyan Xu, Haitao Sun, Wen Feng, Zhenhua Huang

“…The efficacy of key genes was validated using ROC curves in an external dataset, and their expression was confirmed in LPS-induced Caco-2 cells through RT-qPCR. …”
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A Hybrid Contextual Embedding and Hierarchical Attention for Improving the Performance of Word Sense Disambiguation by Robbel Habtamu Yigzaw, Beakal Gizachew Assefa, Elefelious Getachew Belay

“…Despite the absence of a standard benchmark dataset for Amharic WSD, our model achieved an accuracy of 92.4% on a dataset we prepared ourselves. …”
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Prognostic determinants and functional role of PIK3C2G in stage IIb-IIIa lung adenocarcinoma: insights from clinical and molecular analyses by Chao Gao, Jiaqi Zhang, Xin Du, Xuehan Gao, Xiayao Diao, Ke Zhao, Yeye Chen, Shanqing Li

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Endoscopic sinus surgery outcomes in patients with chronic rhinosinusitis and immunoglobulin deficiencies by Shireen Samargandy, Elysia Grose, Jonathan Yip, John M. Lee

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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

“…Specifically, the Hybrid MLP+RF and Xception+RF models achieved an exceptional diagnostic accuracy of 97% on the WDBC dataset, while the Hybrid MLP+RF model reached 78% prognostic accuracy on the WPBC dataset. …”
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Improvement of Blood Plasmalogens and Clinical Symptoms in Parkinson’s Disease by Oral Administration of Ether Phospholipids: A Preliminary Report by Shiro Mawatari, Shinji Ohara, Yoshihide Taniwaki, Yoshio Tsuboi, Toru Maruyama, Takehiko Fujino

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Comparative analysis of efficacy and quality of life between totally extraperitoneal sublay and intraperitoneal onlay mesh repair for ventral hernia by Miaofeng Wang, Wei Chen, Xiufeng Chu

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Hybrid optimized artificial neural network using Latin hypercube sampling and Bayesian optimization for detection, classification and location of faults in transmission lines by Abdul Yussif Seidu, Elvis Twumasi, Emmanuel Assuming Frimpong

“…In terms of fault classification, the ANN model, trained on a dataset of 495 instances, revealed perfect regression coefficients across the training, testing, and validation subsets. …”
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Comparing Balance Performance on Force Platform Measures in Individuals with Parkinson’s Disease and Healthy Adults by Cathy C. Harro, Amanda Kelch, Cora Hargis, Abigail DeWitt

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UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu by Kifayat Ullah, Muhammad Aslam, Muhammad Usman Ghani Khan, Faten S. Alamri, Amjad Rehman Khan

“…The ensemble model performed the best and achieved macro F1 score of 0.94, complemented by comprehensive labeled dataset focusing on hate and offensive speech in Urdu. …”
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DeepRetention: A Deep Learning Approach for Intron Retention Detection by Zhenpeng Wu, Jiantao Zheng, Jiashu Liu, Cuixiang Lin, Hong-Dong Li

“…Due to the lack of a gold standard dataset of IR, we first compare DeepRetention with two state-of-the-art methods, i.e. iREAD and IRFinder, on simulated RNA-seq datasets with retained introns. …”
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Characterization of adrenal glands on computed tomography with a 3D V-Net-based model by Yuanchong Chen, Yaofeng Zhang, Xiaodong Zhang, Xiaoying Wang

“…The model showed sensitivities and accuracies of 99.7%, 98.3% and 87.2%, 62.2% in external validation datasets 1 and 2, respectively. It showed no significant difference comparing to radiology reports in external validation datasets 1 and lesion-containing groups of external validation datasets 2 (p = 1.000 and p > 0.05, respectively). …”
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Study on the Fingerprint Spectrum and the Spectrum-Effect Relationship of Analgesic and Anti-Inflammatory Effects of the Aqueous Extract from Dalbergia hancai Benth by Qin Qiu, Xiaofang Liu, Chunying Huang, Yanling Guo, Dandan Zhen, Junhao Shi, Baojun Gu, Hanshen Zhen, Miao Zhang

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