Identification of as a Hypermethylated Gene in Colorectal Cancers by Jongbum Kim, Sangsoo Kim

“…We downloaded publicly available DNA methylation and gene expression datasets of matched cancer and normal pairs from the Cancer Genome Atlas Data Portal and performed a systematic computational analysis. …”
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Comprehensive Analysis of Face Recognition Technologies by Liu Bowei

“…The review highlights the practical applications of face recognition in contemporary contexts and summarizes key datasets and preprocessing methods used in the field. …”
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Multi-adversarial domain adaptation method based on feature correction by Yong ZHANG, Haoshuang LIU, Qi ZHANG, Wenzhe LIU

“…Domain adaptation can transfer labeled source domain information to an unlabeled but related target domain by aligning the distribution of source domain and target domain.However, most existing methods only align the low-level feature distributions of the source and target domains, failing to capture fine-grained information within the samples.To address this limitation, a feature correction-based multi-adversarial domain adaptation method was proposed.An attention mechanism to highlight transferable regions was introduced in this method and a feature correction module was deployed to align the high-level feature distributions between the two domains, further reducing domain discrepancies.Additionally, to prevent individual classifiers from overfitting their own noisy pseudo-labels,dual classifier co-training was proposed and the feature aggregation property of graph neural networks was utilized to generate more accurate source domain labels.Extensive experiments on three benchmark datasets for transfer learning demonstrate the effectiveness of the proposed method.…”
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ChartMaster: An End-to-End Method to Recognize, Redraw, and Redesign Chart by Lingmei Zhang, Guangxia Wang, Lingyu Chen

“…Besides, we also introduce two datasets, UCCD and UCID, to train deep models to classify and recognize charts. …”
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Review of the Empirical Evidence for Superluminal Particles and the 3 + 3 Model of the Neutrino Masses by Robert Ehrlich

“…Furthermore, this dark matter model is supported by several datasets: γ-rays from the galactic center, and the Kamiokande-II neutrino data on the day of SN 1987A. …”
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Few-shot cybersecurity event detection method by data augmentation with prompting question answering by TANG Mengmeng, GUO Yuanbo, ZHANG Han, BAI Qingchun, CHEN Qingli, ZHANG Bowen

“…Experimental verification was conducted on two datasets in cybersecurity. The result showes that the proposed method’s substantial superiority in low-resource network security event detection tasks compared to other baseline methods.…”
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Persistent Topological Laplacians—A Survey by Xiaoqi Wei, Guo-Wei Wei

“…Persistent topological Laplacians have demonstrated superior performance over persistent homology in the analysis of large-scale protein engineering datasets. In this survey, we offer a pedagogical review of persistent topological Laplacians formulated in various mathematical settings, including simplicial complexes, path complexes, flag complexes, digraphs, hypergraphs, hyperdigraphs, cellular sheaves, and <i>N</i>-chain complexes.…”
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Tea disease identification based on ECA attention mechanism ResNet50 network by Lanting Li, Yingding Zhao

“…This model not only accurately identifies tea diseases in gardens but also possesses excellent generalization capabilities, performing outstandingly on datasets of other plant categories. These results indicate that ECA-ResNet50 can effectively mitigate the interference of complex backgrounds and precisely recognize tea disease targets.…”
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Performance Evaluation and Implications of Large Language Models in Radiology Board Exams: Prospective Comparative Analysis by Boxiong Wei

“…The study emphasizes the need for domain-specific training datasets to enhance large language models’ effectiveness in specialized fields like radiology.…”
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CC-MRSJ:Cache Conscious Star Join Algorithm on Hadoop Platform by Guoliang Zhou, Yongli Zhu, Guilan Wang

“…A cache-conscious MapReduce star join algorithm was presented,each column of fact table was separately stored,and dimension table was divided into several column families according to dimension hierarchy.Fact table foreign key column and corresponding dimension table was co-location storage,thus reducing data movement in the join process.CC-MRSJ consists of two phases:firstly each foreign key column and the corresponding dimension table were joined; then the intermediate results were joined and random accessed measure columns,and so got the final result.CC-MRSJ read only the data needed,and cache utilization is high,so it has good cache conscious feature; it also takes advantage of late materialization,avoiding unnecessary data access and movement.CC-MRSJ has higher performance comparing to hive system based on SSB datasets.…”
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IDS Transposer: A Users Guide by Emily Klancher Merchant, George Alter, Jane Wang, Ashok Bhargav

“…The IDS Transposer is a software tool that automates this process for source data in any format, allowing database administrators to specify how their datasets are to be represented in IDS. This article describes how the IDS Transposer works, first by going through an example step-bystep, and then by discussing each part of the process and potential options and exceptions in detail. …”
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Construction of College Students’ Mental Health Assessment and Art Therapy System Aided by the Internet of Things and Big Data by Qing Li

“…In addition, this paper uses four datasets to conduct clustering experiments and compares the CS indicator with several other indicators. …”
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Prediction of Compressive Strength of Concrete and Rock Using an Elementary Instance-Based Learning Algorithm by Shun-Chieh Hsieh

“…Results on applying this method to datasets from literature studies show that the values of RMSE for k-NN are modest, indicating adequacy to predict compressive strength with comprehensive range values of predictors. …”
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Urban Vitality Measurement Through Big Data and Internet of Things Technologies by Young-Long Kim

“…This approach offers a more dynamic and comprehensive picture of urban vitality, facilitated by advanced analytical tools such as machine learning and predictive analytics, which can interpret complex datasets to offer real-time insights and better decision-making for urban planning. …”
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Privacy-utility tradeoff method using multi-variable source coding by Yong-hao GU, Jiu-chuan LIN

“…In the age of big data,data providers need to ensure their privacy,while data analysts need to mine the value of data.So,how to find the privacy-utility tradeoff has become a research hotspot.Current works mostly focus on privacy preserving methods,ignoring the data utility.Based on the current research of privacy utility equilibrium methods,a privacy-utility tradeoff method using multi-variable source coding was proposed to solve the problem that different public datasets in the same database have different privacy requirements.Two results are obtained by simulations.The first result is that the greater the association degree between the private information and public information,the increase of the distortion degree of public information will significantly improve the effect of privacy preservation.The second result is that public information with larger variance should be less distorted to ensure more utility.…”
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Access to water and sanitation among people with disabilities: results from cross-sectional surveys in Bangladesh, Cameroon, India and Malawi by Islay Mactaggart, Hannah Kuper, Sarah Polack, Mahfuzar Rahman, Wolf-Peter Schmidt, Kristof Bostoen, Joseph Chunga, Lisa Danquah, Amal Krishna Halder, Saira Parveen Jolly, Marielle Snel, Adam Biran

“…Objectives To assess access to adequate water, sanitation and hygiene (WASH) among people with disabilities at the household and individual level.Design Cross-sectional surveys.Setting Data were included from five district-level or regional-level surveys: two in Bangladesh (Bangladesh-1, Bangladesh-2), and one each in Cameroon, Malawi and India.Participants 99 252 participants were sampled across the datasets (range: 3567–75 767), including 2494 with disabilities (93–1374).Outcome Prevalence of access to WASH at household and individual level.Data analysis Age/sex disaggregated disability prevalence estimates were calculated accounting for survey design. …”
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Prediction of digestible energy requirement in growing finishing stage of pigs using machine learning models by Nibas Chandra Deb, Jayanta Kumar Basak, Sijan Karki, Elanchezhian Arulmozhi, Dae Yeong Kang, Niraj Tamrakar, Eun Wan Seo, Junghoo Kook, Myeong Yong Kang, Hyeon Tae Kim

“…While evaluating the model's performance under different datasets, it was observed that the RFR model exhibited the best performance with DS4, explaining over 97 % and 95 % of actual and predicted data during the training and testing phases, respectively, while MLR model demonstrated the worst accuracy (R2 < 0.93 and RMSE >6.1 MJ/pig day) compared to the other models. …”
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Highly proliferating cancer cells function as novel prognostic biomarkers for lung adenocarcinoma with particular usefulness for stage IA risk stratification by Yanlu Xiong, Yongfu Ma, Jie Lei, Jianfei Zhu, Nianlin Xie, Feng Tian, Qiang Lu, Miaomiao Wen, Qian Zheng, Yong Han, Tao Jiang, Yang Liu

“…Then, we quantified the content of HPCs in nine LUAD datasets by single-sample gene set enrichment analysis and evaluated the relationship between the percentage of HPCs and overall survival (OS). …”
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Risk Values of Weight and Body Mass Index for Chest Wall Thickness in Patients Requiring Needle Thoracostomy Decompression by Chia-Hung Hsu, Tzu-Yin Lin, Ju-Chi Ou, Jiann Ruey Ong, Hon-Ping Ma

“…Emergency decompression is needed in patients with tension pneumothorax, a life-threatening condition. The catheter-based needle thoracostomy was suggested using a 5 cm catheter inserted into the 2nd intercostal space (ICS) and 5th ICS according to the ninth and tenth editions of Advanced Trauma Life Support, respectively. …”
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Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy by Cong Feng, Bo Yang, Linlang Liang

“…[Conclusion] Female, urinary catheter, HbA1c>7.5%, high Cys-C and low eGFR are the risk factors of urinary tract infection in elderly patients with diabetic nephropathy.The prediction model has clinical advantages in accuracy and consistency.…”
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