A Comprehensive Drift-Adaptive Framework for Sustaining Model Performance in COVID-19 Detection From Dynamic Cough Audio Data: Model Development and Validation by Theofanis Ganitidis, Maria Athanasiou, Konstantinos Mitsis, Konstantia Zarkogianni, Konstantina S Nikita

“…Addressing this challenge is crucial to maintaining the accuracy and reliability of these models in ongoing diagnostic applications. ObjectiveThis study aims to develop a comprehensive framework that not only monitors model drift over time but also uses adaptation mechanisms to mitigate performance fluctuations in COVID-19 detection models trained on dynamic cough audio data. …”
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Identifier technology in industrial internet by Zhen YANG, Dong ZHANG, Jie LI, Jianxiong ZHANG

“…The value discovery of data is the core of industrial internet,but for historical reasons,there are many information islands exist in enterprises.The identifier is the key technology for solving information isolated island and industrial big data gathering.Also,the identifier is the basis technology of understanding industrial big data.Several key elements in the application of identifier in industrial internet were analyzed,and some research ideas for the future study of industrial big data’s understanding were given.…”
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Finding New Hot Subdwarf Stars in SDSS Images by Jiangchuan Zhang, Yude Bu, Huili Wu, Yuhang Zhang, Shanshan Li, Zhenxin Lei, Zhenping Yi, Xiaoming Kong, Meng Liu

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Conceptual framework for data harmonisation in mental health using the International Classification of Functioning, Disability and Health: an example with the R2D2-MH consortium by Louise Gallagher, Tony Charman, Dieter Wolke, Jan Buitelaar, Sven Bölte, Emily Jones, Thomas Bourgeron, Marie Schaer, Kristien Hens, Declan Murphy, Melissa H Black, Christine Ecker, Yair Sadaka, Beate St Pourcain, Stef Bonnot-Briey

“…Although the linking process necessarily entails an element of subjectivity, the application of established rules can increase rigour and transparency of the harmonisation process.Conclusions We present the first steps towards data harmonisation in mental health that is compatible with contemporary approaches in psychiatry, being more capable of capturing diversity and aligning with more transdiagnostic and neurodiversity-affirmative ways of understanding data.Clinical implications Our findings show promise, but future work is needed to address quantitative harmonisation. …”
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Towards Meaningful Interpretation of Molecular Data: Insights Gained from HMMD Challenges in <i>Salmonella</i> Detection for Future NGS Integration in Clinical Microbiology by Hyunji Kim, Soo Hyun Seo, Jae-Seok Kim, Kwang Jun Lee, Kyoung Un Park

“…As NGS moves toward clinical application, establishing similar interpretive standards will be essential to manage the complexity and volume of molecular data effectively.…”
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Psychosocial safety climate (PSC) and working conditions, predictors of mental health and antidepressant and opioid use in Australia: a study protocol for longitudinal data linkage by Nick Glozier, Anne W Taylor, Maureen F Dollard, Christian Dormann, May Young Loh, Cherie Natalie Crispin, Ali Afsharian, Tiffany Gill

“…Further, approval from the Australian Institute of Health and Welfare Ethics Committee was also granted for linkage of AWB data and PBS data (EthOS Application EO2022/1/1190).Results of the study will be disseminated through worldwide keynotes, key international settings, high-impact peer-reviewed journals, industry conference presentations and media outlets to reach managers, workers, and industry partners. …”
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Dataset and multivariate statistical tools for mathematical modeling of water desorption isotherms and infrared spectral properties of cupuassu (Theobroma grandiflorum L.) pulpMend... by Andrés F. Bahamón-Monje, Paola A. García-Rincón, Gentil A. Collazos-Escobar, Claudia M. Amorocho-Cruz, Nelson Gutiérrez-Guzmán

“…This study presents a comprehensive dataset of water desorption isotherms and infrared spectral data for cupuassu pulp, a by-product with significant potential for value-added applications in the food industry. …”
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Using Linked Health Service Data in Multimodal Modeling of Kidney Transplant Waitlist Outcomes: Protocol for the Maximizing Organ Donor Utility Systemwide (MODUS) Study by Brenda Maria Rosales, Karan Shah, Nicole De La Mata, Heather Baldwin, James Hedley, Philip Clayton, Melanie Wyld, Patrick Kelly, Kate Wyburn, Rachael Morton, Angela Webster

“…MethodsThe MODUS (Maximizing Organ Donor Utility Systemwide) study will use data for patients ever waitlisted for kidney transplantation and all potential donors referred for consideration for deceased organ donation. …”
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Russian local trends in software development and implementation by D. S. Pashchenko

“…The expert’s panel reviewed the change in costs and efforts in software development projects connected with stricter requirements for collecting and storing personal data, evaluated import substitution of system and application software and determined the possibilities of using technologies, based on open-source code. …”
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Review on video privacy protection by Ling-ling TONG, Yang-xi LI, Wen-ting HUANG

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Development Prospects of Software Defined Optical Networks by Yuefeng Ji, Jie Zhang, Yongli Zhao

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Development Prospects of Software Defined Optical Networks by Yuefeng Ji, Jie Zhang, Yongli Zhao

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Scheme and practice of IPTV user viewing behavior analysis based on MapR by Ai FANG, Yuzhong HANG, Xiong XU, Duo JIN

“…Interactive TV business open platform is the internet and IPTV transformation practice for operators.It's the interconnected hub between users,terminals,content,business and other.The platform now has millions of active users,generating nearly 1 TB of daily viewing activity and system log data.They can be used for business analysis,user portraits and system analysis.MapR was one of the large data processing frameworks suitable for this kind of analysis.The main features and core components of MapR were introduced combined with actual demand,and the architecture design and application effect of analysis system based on MapR was elaborated.…”
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Research on artificial intelligence technology and the future intelligent information service architecture by Zhihong WANG, Zhen YANG

“…The concept and research of artificial intelligence,cognitive computing,decision support have been taken out of the laboratory and into the real practical stage.Its practical value has exceeded the initial understanding of technical researchers,and its essence is the technology of how to process information and data.It will give people better life and have great effect on the architecture of future society and organization.Firstly,the basic concept of artificial intelligence technology was introduced.And then the artificial intelligence technology for the future economic life of the important significance,artificial intelligence technology development,accumulation,reuse,platform characteristics and the problems they faced were studied.Finally,the operators' research and application strategy of artificial intelligence technology were analyzed.…”
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Design and Evaluation of Real-Time Data Storage and Signal Processing in a Long-Range Distributed Acoustic Sensing (DAS) Using Cloud-Based Services by Abdusomad Nur, Yonas Muanenda

“…The technique greatly simplifies DAS data handling in key application areas requiring continuous, large-scale measurement schemes. …”
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Correlation between QRISK3, Coronary Calcium Score and Coronary Artery Disease Reporting and Data System in Patients Undergoing Evaluation for Coronary Artery Disease by Johann Christopher, Hemina Mary Jacob, Reefa Alina Dsouza

“…Aim: The aim of this study is to correlate between the cardiovascular disease risk score (QRISK3) score, coronary artery calcium (CAC) score, and CAD Reporting and Data System (CAD-RADS) category in a general population who are referred for evaluation of coronary artery disease by CT coronary angiography. …”
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EMULATION OF SOFTWARE-DEFINED NETWORK USING MININET by Do Van Khoa, Tran Ngo Nhu Khanh

“…Software-defined networking (SDN) represents a new structure of computer network that simplifies and improves network management by splitting the control plane and data plane. Since SDN is regarded as a new research issue, the application of SDN in practice faces some barriers. …”
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Signaling collection and monitoring technology based on FKS by Baoyou WANG, Jian YAO, Zhengqing ZHANG

“…The signaling data of telecom operators,which have a wide range of applications and great of values,is big data in real sense.In order to serve the real-time marketing scenarios better,the real-time processing and analysis ability of signaling data must be improved effectively.Firstly,the scheme of signaling collection and processing based on FKS was introduced,which combined the advantages of components such as Flume,Kafka and Spark Streaming,and played an important supporting role for operators to build real-time decision center.Furthermore,the Kafka monitoring program for topic consumption of consumer groups was proposed,which provided effective means for warning faults of real-time flow collection.The monitoring solution could effectively reduce the message queue congestion,avoid the risk of data loss,and also could obtain good application effects in practice.…”
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Exploration and selection of LLM models for financial text simplification by Bertha C Brenes-Brenes, Saul Calderón-Ramírez

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Signaling collection and monitoring technology based on FKS by Baoyou WANG, Jian YAO, Zhengqing ZHANG

“…The signaling data of telecom operators,which have a wide range of applications and great of values,is big data in real sense.In order to serve the real-time marketing scenarios better,the real-time processing and analysis ability of signaling data must be improved effectively.Firstly,the scheme of signaling collection and processing based on FKS was introduced,which combined the advantages of components such as Flume,Kafka and Spark Streaming,and played an important supporting role for operators to build real-time decision center.Furthermore,the Kafka monitoring program for topic consumption of consumer groups was proposed,which provided effective means for warning faults of real-time flow collection.The monitoring solution could effectively reduce the message queue congestion,avoid the risk of data loss,and also could obtain good application effects in practice.…”
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