Construction and validation of nomogram model for prognosis of gastritis patients based on baseline data and inflammatory and infectious markers by Lanfang Zhang, Lu Yang, Lijun Meng, Haiyun Zhang, Yanli Zhu, Fang Yang, Yongmei Qin

“…The model demonstrated good calibration and fit between predicted and actual outcomes in both the training and validation sets. ROC curve analysis showed that the nomogram model achieved AUC values of 0.808 in the training set and 0.800 in the validation set for predicting gastritis prognosis.ConclusionThe Nomogram model constructed in this study based on baseline data, inflammation indicators and infectious pathogens can effectively predict the prognosis of patients with gastritis, which can provide a powerful reference for clinical individualized treatment decision-making.…”
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An Empirical Study on Cost Benefit Comparison and Pricing Model of Cloud Computing Data Center and Traditional IDC by Ruozhao Feng, Yunling Fan

“…The development of cloud computing technology and market demand gradually promote the products of cloud data center services.As a reference to traditional IDC business of telecom operators,the cost structure and investment returns of cloud data centers and traditional IDC were compared through empirical analysis,as the basis for constructing cost pricing model of cloud data center.…”
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An Empirical Study on Cost Benefit Comparison and Pricing Model of Cloud Computing Data Center and Traditional IDC by Ruozhao Feng, Yunling Fan

“…The development of cloud computing technology and market demand gradually promote the products of cloud data center services.As a reference to traditional IDC business of telecom operators,the cost structure and investment returns of cloud data centers and traditional IDC were compared through empirical analysis,as the basis for constructing cost pricing model of cloud data center.…”
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Bayesian inference of a spatially dependent semi-Markovian model with application to Madagascar Covid'19 data. by Angelo Raherinirina, Stefana Tabera Tsilefa, Tsidikaina Nirilanto, Solym M Manou-Abi

“…This article presents an approach to stochastic analysis of disease dynamics. We develop an explicit semi-Markovian model that accounts for spatial dependence, operating in discrete time over a finite state space. …”
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Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data by Mehwish Naseer, Farhan Ullah, Samia Ijaz, Hamad Naeem, Amjad Alsirhani, Ghadah Naif Alwakid, Abdullah Alomari

“…Cybercriminals target Android since it is the most popular smartphone operating system (OS). Malware detection, analysis, and classification have become diverse research areas. …”
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Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma by Linyan Chen, Yang Li, Zhiyuan Zhang, Tongshu Yang, Hao Zeng

“…Additionally, the multi-platform model achieved a higher net benefit in decision curve analysis.ConclusionHistopathological image features had the potential to predict molecular features and survival outcomes, and could be integrated with multiple omics data as a practical tool for prognosis prediction and risk stratification, facilitating personalized medicine for HCC patients.…”
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Does Farmland Transfer Promote Digital Agriculture?—Based on Panel Data from 30 Provinces in China by Xinxin Zhou, Guanghua Cheng, Bangbang Zhang

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A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing by Hsuan-Ming Lin, JrJung Lyu

“…Traditional oversampling methods often struggle with complex clinical data. This study evaluates an enhanced conditional Wasserstein Generative Adversarial Network with Gradient Penalty (CWGAN-GP) framework to improve IDH prediction by generating high-utility synthetic data for balancing. …”
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Important Aspects of the Design of Experiments and Data Treatment in the Analytical Quality by Design Framework for Chromatographic Method Development by Bianca F. G. Passerine, Márcia C. Breitkreitz

“…The purpose of this study is to contribute to a better understanding of data treatment aspects that are frequently misread or not fully understood, such as model selection, ANOVA results, and residual analysis. …”
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Algorithm development for recognizing human emotions using a convolutional neural network based on audio data by V. V. Semenuk, M. V. Skladchikov

“…As a result of the study, graphs were constructed demonstrating the accuracy of the proposed method.After receiving the initial data of the study, the analysis of the possibilities for improving the algorithm in terms of ergonomics and accuracy of operation was also carried out. …”
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A Distribution Network Expansion Project Classification Model Based on Data Augmentation and Dimensionality Reduction Method by Xin ZHOU, Jingxing LIN, Zhiwei XIE, Zheng ZHANG, Ruduo LIANG, Zuhong OU

“…This method enhances the original data, reduces the data dimension through depth self encoder, and performs feature extraction and clustering analysis. …”
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What is in a food store name? Leveraging large language models to enhance food environment data by Analee J. Etheredge, Samuel Hosmer, Aldo Crossa, Rachel Suss, Mark Torrey

“…IntroductionIt is not uncommon to repurpose administrative food data to create food environment datasets in the health department and research settings; however, the available administrative data are rarely categorized in a way that supports meaningful insight or action, and ground-truthing or manually reviewing an entire city or neighborhood is rate-limiting to essential operations and analysis. …”
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A Semi-Supervised Object Detector Based on Adaptive Weighted Active Learning and Orthogonal Data Augmentation by Meng Wang, Xiao Xu, Haipeng Liu

“…Moreover, an ODA operation is performed as pseudo-supervised learning on augmented instances to further capture the modality diversity of complex data distributions. …”
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Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach by Yujia Wang, Yuan Tian, Binyu Yang, Jian Wang, Xiaowei Hu, Shi An

“…In view of the above, this paper proposed a data-driven method to determine the service area and operation time of flexible buses based on FFBS data. …”
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Energy-Aware Edge Infrastructure Traffic Management Using Programmable Data Planes in 5G and Beyond by Jorge Andrés Brito, José Ignacio Moreno, Luis M. Contreras

“…In this work, we present a traffic management scheme leveraging programmable data planes and an SDN controller to achieve energy proportionality, matching network resource usage to fluctuating traffic loads. …”
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Gain efficiency with streamlined and automated data processing: Examples from high-throughput monoclonal antibody production. by Malwina Kotowicz, Magdalena Shumanska, Sven Fengler, Birgit Kurkowsky, Anja Meyer-Berhorn, Elisa Moretti, Josephine Blersch, Gisela Schmidt, Jakob Kreye, Scott van Hoof, Elisa Sánchez-Sendín, S Momsen Reincke, Lars Krüger, Harald Prüß, Philip Denner, Eugenio Fava, Dominik Stappert

“…We present best practices for development of data processing pipelines concerned with extensive acquisition of biological data that undergoes continuous manipulation and analysis. …”
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Data Measuring System for Torque Measurement on Running Shafts Based on a Non-Contact Torsional Dynamometer by Vanyeyev S. M., Miroshnichenko D. V., Rodymchenko T. S., Protsenko M., Smolenko D. V.

“…The research has considered the results of the development of data measuring system, performed a theoretical analysis and presented the results of the practical application of the non-contact strain-gauge dynamometer designed for torque measurement on the shaft of low-power expansion machines when operating under bench test conditions. …”
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A machine learning approach for the diagnosis of obstructive sleep apnoea using oximetry, demographic and anthropometric data by Zhou Hao Leong, Shaun Ray Han Loh, Leong Chai Leow, Thun How Ong, Song Tar Toh

“…Seven commonly used supervised learning algorithms were trained with the data. Sensitivity (recall), specificity, positive predictive value (PPV) (precision), negative predictive value, area under the receiver operating characteristic curve (AUC) and F1 measure were reported for each model. …”
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Determination of main performance data of an aircraft threedimensional maneuver split-S with a permissible flight envelope limiter by K. A. Zhuravsky, P. S. Kostin

“…The analysis of the study illustrated that the most appropriate way to determine main performance data of split-S is simulation modeling on a complex simulation model of the aircraft, because the given method considerably saves financial and time resources used on state flight tests.…”
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Situational Awareness Prediction for Remote Tower Controllers Based on Eye-Tracking and Heart Rate Variability Data by Weijun Pan, Ruihan Liang, Yuhao Wang, Dajiang Song, Zirui Yin

“…In this study, a dataset is constructed by collecting eye-tracking (ET) and heart rate variability (HRV) data from participants in a remote tower simulation control experiment. …”
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