Data Verification and Respondent Validity for a Web-Based Sexual Health Survey: Tutorial by Jayelin N Parker, Theresa L Rager, Jade Burns, Okeoma Mmeje

“…However, this shift toward digital platforms brings forth a new set of challenges, particularly the infiltration of automated bots that can compromise data integrity and the reliability of survey results. …”
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Population-level scale-up of cervical cancer prevention services in a low-resource setting: development, implementation, and evaluation of the cervical cancer prevention program in... by Groesbeck P Parham, Mulindi H Mwanahamuntu, Sharon Kapambwe, Richard Muwonge, Allen C Bateman, Meridith Blevins, Carla J Chibwesha, Krista S Pfaendler, Victor Mudenda, Aaron L Shibemba, Samson Chisele, Gracilia Mkumba, Bellington Vwalika, Michael L Hicks, Sten H Vermund, Benjamin H Chi, Jeffrey S A Stringer, Rengaswamy Sankaranarayanan, Vikrant V Sahasrabuddhe

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Nurses’ usage of validated tools to assess for delirium in general acute care settings: A scoping review protocol [version 1; peer review: 2 approved] by Aoibhinn Boyd, Leona Bannon, Marcia Kirwan

“…Results will be uploaded to Covidence where the sources will be screened for relevance. Data from relevant sources will be extracted using a data extraction tool. …”
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Image reconstruction of Arctic sea ice using SWIM data at small incidence angles by Wenlong Bi, Hui Yu, Xi Zhang, Ran Yan, Ying Xu, Maohua Guo, Ning Wang, Yinghui Li, Yifan Zhang, Yanting Lu, Xinyi Bi, Meijie Liu

“…Abstract The Surface Wave Investigation and Monitoring (SWIM) instrument is the first to adopt a rotation detection mode at multiple small incidence angles (0°–10°), which is mainly used for wave detection. …”
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Transforming Retinal Photographs to Entropy Images in Deep Learning to Improve Automated Detection for Diabetic Retinopathy by Gen-Min Lin, Mei-Juan Chen, Chia-Hung Yeh, Yu-Yang Lin, Heng-Yu Kuo, Min-Hui Lin, Ming-Chin Chen, Shinfeng D. Lin, Ying Gao, Anran Ran, Carol Y. Cheung

“…The detection accuracy, sensitivity, and specificity of using the original fundus photographs data set were 81.80%, 68.36%, 89.87%, respectively, for the entropy images data set, and the figures significantly increased to 86.10%, 73.24%, and 93.81%, respectively (all p values <0.001). …”
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Malware Detection Using a Random Forest Method Trained on a Balanced Synthetic Dataset by Neo Onica Matsobane, Sello Mokwena

“…To overcome these challenges, this study proposed a new method that creates synthetic malware data and increases the size and balance by generating several data sets with a flow-based model. …”
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Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

“…The final set of sub-classes was proposed. The study also proposes a customized set of input layers for each crop type and identifies minimum patch sizes to enhance the efficiency of detecting specific agricultural patterns. …”
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Architecture and optimization of data mining modeling for visualization of knowledge extraction: Patient safety care by Gebeyehu Belay Gebremeskel, Birhanu Hailu, Belete Biazen

“…In this paper, we proposed a new approach of architecture and optimization of data mining modeling for visualization of knowledge extraction by analyzing clinical data sets to define the determinant attributes through modeling techniques. …”
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Visible Light Communication System Using Silicon Photocell for Energy Gathering and Data Receiving by Xiongbin Chen, Chengyu Min, Junqing Guo

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Application of Fourier transform infrared spectroscopy to exhaled breath analysis for detecting helicobacter pylori infection by Meiqi Qiu, Fei Liao, Yulin Tan, Junlong Zhang, Changjun Zheng, Hanyu Wang, Huangming Zhuang, Wanli Xiong, Qingfang Xie, Weiguo Dong

“…Individual exhalation spectral data after deducting baseline spectral data were used as the basis for the training and test sets through K-center clustering algorithm. …”
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Deep Learning-Based Safety Helmet Detection in Engineering Management Based on Convolutional Neural Networks by Yange Li, Han Wei, Zheng Han, Jianling Huang, Weidong Wang

“…Video monitoring systems provide a large amount of unstructured image data on-site for this purpose, however, requiring a computer vision-based automatic solution for real-time detection. …”
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Fluid volume status detection model for patients with heart failure based on machine learning methods by Haozhe Huang, Jing Guan, Chao Feng, Jinping Feng, Ying Ao, Chen Lu

“…Methods: The training set data collected by Tianjin Chest Hospital on heart failure patients from December 2016 to December 2021, included 2056 samples and 97 medical characteristics. …”
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Anchor-Free Object Detection Algorithm Based on Dual-Angle Multi-Scale Feature Fusion by WANG Xiaoyu, WEI Yuxin, LU Jianyu, YU Yue

“…Finally, the coordinate attention mechanism is added to enhance the receptive field without consuming a lot of computing resources, and the coordinate information is embedded in the channel attention to improve the model ′s target positioning and improve the detection accuracy of the model. The improved algorithm ′s detection accuracy in the PASCAL VOC data set and KITTI data set reached 82. 3% and 87. 8% respectively. …”
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Two-stage augmentation for detecting malignancy of BI-RADS 3 lesions in early breast cancer by Huanhuan Tian, Li Cai, Yu Gui, Zhigang Cai, Xianfeng Han, Jianwei Liao, Li Chen, Yi Wang

“…Results After malignancy feature and data augmentations, our model achieved a high area under the receiver operating characteristic curve (AUC) of 0.881 (95% CI: 0.830–0.921), the sensitivity of 77.8% (14/18), in the SW test set, and an AUC of 0.880 (95% CI: 0.847–0.910), a sensitivity of 71.4% (5/7) in the TS test set. …”
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Development of a neural network model for early detection of creatinine change in critically Ill children by Celeste G. Dixon, Eduardo A. Trujillo Rivera, Anita K. Patel, Murray M. Pollack

“…Admission demographics, routinely measured vital signs, laboratory tests, and medication use variables were used as predictors for the model. Data set was randomly split at the encounter level into model development (80%) and test (20%) sets. …”
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Fusarium Wilt of Banana Latency and Onset Detection Based on Visible/Near Infrared Spectral Technology by Cuiling Li, Dandan Xiang, Shuo Yang, Xiu Wang, Chunyu Li

“…Visible/near-infrared spectroscopy analysis combined with machine learning methods were used for the rapid in vivo detection of banana Fusarium wilt. A portable visible/near-infrared spectrum acquisition system was constructed to collect the spectra data of banana Fusarium wilt leaves representing five different disease grades, totaling 106 leaf samples which were randomly divided into a training set with 80 samples and a test set with 26 samples. …”
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Mobile Application Utilizing YOLOv8 for Real-Time Urban Traffic Data Collection by Charef Ayoub, Jarir Zahi, Quafafou Mohamed

“…This research not only demonstrates the effectiveness of a sophisticated tool for traffic data analysis but also emphasizes the essential need for continuous improvements to tackle practical challenges encountered in urban settings. …”
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Monitoring breast cancer progression through circulating methylated GCM2 and TMEM240 detection by Chin-Sheng Hung, Hsieh-Tsung Shen, Pei-Yu Wang, Chih-Ming Su, Wei-Wen Hsu, Kuan-Yu Chien, Cai-Sia Han, Li-Min Liao, Ruo-Kai Lin

“…Performance metrics such as sensitivity, specificity, and accuracy were averaged to ensure robustness, supporting the use of combined GCM2 and TMEM240 for monitoring treatment response and tumor burden. Results The training set, consisting of 166 breast cancer patients (13.3% with recurrence or metastasis), was utilized to establish the biomarker detection cutoff. …”
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Detection of Mycobacterium tuberculosis in sputum by gas chromatography-mass spectrometry of methyl mycocerosates released by thermochemolysis. by Denise M O'Sullivan, Simona C Nicoara, Reggie Mutetwa, Stanley Mungofa, Oona Y-C Lee, David E Minnikin, Max W Bardwell, Elizabeth L Corbett, Ruth McNerney, Geraint H Morgan

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Automated Detection of Kaposi Sarcoma–Associated Herpesvirus–Infected Cells in Immunohistochemical Images of Skin Biopsies by Iftak Hussain, Juan Boza, Robert Lukande, Racheal Ayanga, Aggrey Semeere, Ethel Cesarman, Jeffrey Martin, Toby Maurer, David Erickson

“…The framework was trained and tested with a KS pathology data set prepared from skin biopsies of KS-suspected patients in Uganda.RESULTSThe developed MIL framework achieved an area under the receiver operating characteristic curve of 0.99, with a sensitivity of 98.15% and specificity of 96.00% in predicting anti–LANA-positive WSIs in a test data set.CONCLUSIONThe framework shows promise for the automated detection of LANA in skin biopsies, offering a reliable and accurate tool for identifying anti–LANA-positive cells. …”
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