Topological Data Analysis and Multiple Kernel Learning for Species Identification of Modern and Archaeological Small Ruminants by Manon Vuillien, Davide Adamo, Emmanuelle Vila, Amane Agraw, Thierry Argant, Daniel Helmer, Marjan Mashkour, Abdelkader Moussous, Olivier Notter, Elena Rossoni-Notter, Isabelle Théry, Marco Corneli

“…This paper presents a case study to test the potential of topological data analysis (TDA) and multiple kernel learning (MKL) for inter-specific identification of 150 3D astragali belonging to modern and archaeological specimens. …”
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Assessing the neuroprotective benefits for babies of antenatal magnesium sulphate: An individual participant data meta-analysis. by Caroline A Crowther, Philippa F Middleton, Merryn Voysey, Lisa Askie, Lelia Duley, Peter G Pryde, Stéphane Marret, Lex W Doyle, AMICABLE Group

“…A limitation of the study was that not all trials could provide the data required for the planned analyses so that combined with low event rates for some important clinical events, the power to find a difference was limited.…”
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Prevalence of sexually transmitted infections and bacterial vaginosis among women in sub-Saharan Africa: An individual participant data meta-analysis of 18 HIV prevention studies. by Elizabeth A Torrone, Charles S Morrison, Pai-Lien Chen, Cynthia Kwok, Suzanna C Francis, Richard J Hayes, Katharine J Looker, Sheena McCormack, Nuala McGrath, Janneke H H M van de Wijgert, Deborah Watson-Jones, Nicola Low, Sami L Gottlieb, STIMA Working Group

“…We used a 2-stage meta-analysis to combine data. After calculating the proportion of participants with each infection and standard error by study, we used a random-effects model to obtain a summary mean prevalence of each infection and 95% confidence interval (CI) across ages, regions, and population types. …”
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LAST-PAIN: Learning Adaptive Spike Thresholds for Low Back Pain Biosignals Classification by Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye, Ana Tajadura-Jimenez, Mahyar Shahsavari

“…Spiking neural networks (SNNs) present the potential for ultra-low-power computation, especially when implemented on dedicated neuromorphic hardware. …”
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New-generation Indian Linear Accelerator: Validation of Specifications and Comparative Analysis by Ramamoorthy Ravichandran, Tarani Mondal, Tamilarasan Mani, Avinash Rao Kuppa, Madhu Govindappa, Manikandan Palanisamy, G. V. Subrahamanyam

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Trend and influencing factors of low birth weight among newborns in Chongming District of Shanghai from 2008 to 2022 by SHI Aiyu, GU Tianyi, XU Yan, HUANG Yuhua, SUN Xiaolei

“…ObjectiveTo analyze the trend and influencing factors of low birth weight (LBW) among newborns in Chongming District of Shanghai from 2008 to 2022, so as to provide references for the development of intervention measures reducing the rate of LBW.MethodsBirth surveillance data of Chongming District of Shanghai from 2008 to 2022 were collected and organized, and the annual percentage change (APC) of LBW was calculated by using Joinpoint 5.0.2 software for trend change analysis. …”
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The studying and synoptic analysis of mechanical in mechanism of widespread winter precipitation of Iran by masoud jalali, mehdi doustkamian, amin shiri karim vandi

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Clinical and CLCN5 genetic mutation analysis of Dent’s disease in children by CHEN Guo-qiang, ZHANG Xiao-ge, LI Zhi-juan, CHENG Yin-ping

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A Study on the Yield and Related Traits of some Forage Low-Tannin Faba bean (Vicia faba L.) Genotypes by Hamidreza Ghorbani, Mohamad Taghi Feyzbakhsh

“…From the time of planting to harvesting during agricultural operations, necessary notes were taken at different stages of growth and development. Analysis of variance (ANOVA) was performed on recorded yield data and yield components, and the mean of treatments was compared with the least significant difference (LSD) method using SAS 9.0 software. …”
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Analysis of Microbiome for AP and CRC Discrimination by Alessio Rotelli, Ali Salman, Leandro Di Gloria, Giulia Nannini, Elena Niccolai, Alessio Luschi, Amedeo Amedei, Ernesto Iadanza

“…Microbiome data analysis is essential for understanding the role of microbial communities in human health. …”
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Clinical education in undergraduate nursing in Ghana: a gap analysis by Kafui A. Hobenu, Anthonio O. Adefuye, Florence Naab, Champion N. Nyoni

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Time series data aggregation algorithm with synchronous prediction for WBAN by Ru-yan WANG, Mei-ling ZHAI, Da-peng WU

“…Due to the nonlinearity and nonstationarity of the physiological data sensed by WBAN,data aggregation cannot be effectively achieved according to the time-domain trend of data.Therefore,a novel time series data aggregation algorithm with synchronous prediction was proposed.By preprocessing the original sensing data with the multi-resolution analysis,the inherent characteristics of the physiological data can be obtained to establish a light-weight synchronous prediction model at both the sensor and sink.Numerical results show that the proposed aggregation algorithm can achieve a favorable prediction precision and a low energy consumption rate by eliminating the in-network data redundancy.…”
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Identifying Behaviours Indicative of Illegal Fishing Activities in Automatic Identification System Data by Yifan Zhou, Richard Davies, James Wright, Stephen Ablett, Simon Maskell

“…This paper presents our work to predict ship types using AIS data from satellites: in such data, there is a pronounced imbalance between the data for different types of ships, the refresh rate is relatively low, and there is a misreporting of information. …”
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Time series data aggregation algorithm with synchronous prediction for WBAN by Ru-yan WANG, Mei-ling ZHAI, Da-peng WU

“…Due to the nonlinearity and nonstationarity of the physiological data sensed by WBAN,data aggregation cannot be effectively achieved according to the time-domain trend of data.Therefore,a novel time series data aggregation algorithm with synchronous prediction was proposed.By preprocessing the original sensing data with the multi-resolution analysis,the inherent characteristics of the physiological data can be obtained to establish a light-weight synchronous prediction model at both the sensor and sink.Numerical results show that the proposed aggregation algorithm can achieve a favorable prediction precision and a low energy consumption rate by eliminating the in-network data redundancy.…”
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The prospect of developing a data driven approach in the Russian economy by P. D. Krotov

“…The analysis of population and business digitalization has shown that, despite the high rate of use of digital services among them, the level of data driven technologies implementation in organizations remains low. …”
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Different rs-fMRI Data Processing Methods in the Study of Vascular Cognitive Impairment by Ying GUAN, Luwen ZHU, Feng WANG, Danna CAO, Xiaoling LI, Qiang TANG

“…Different data processing methods have different meanings, advantages and disadvantages, and application value, and different data processing and analysis methods have some differences in the results, such as ALFF and ReHo, which belong to the analysis method of local functional activity characteristics; functional connectivity and brain network belong to linear correlation analysis method. …”
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Analysis of risk factors for late postoperative pleural effusion in patients undergoing single-port thoracoscopic lung surgery by WANG Qin, XIA Guanghui, JIANG Jie, YANG Xiaoxin, DING Jiefang, YIN Ying, WU Guanghong, LIU Feng, CAO Hui, SHI Ye

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Combining Dielectric and Hyperspectral Data for Apple Core Browning Detection by Hanchi Liu, Jinrong He, Yanxin Shi, Yingzhou Bi

“…To reduce the computational complexity of high-dimensional multi-view data, canonical correlation analysis is employed for feature dimensionality reduction. …”
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Substantiation of source data on the parametric algorithms for the classification of weather hazards by O. V. Vasiliev, E. S. Boyarenko, K. I. Galaeva

“…The article provides brief descriptions of the methods of conducting experiments to form statistical database and its analysis. Based on the above methods, the statistical parameter H(EDRmax) analysis for a rain shower, the amplitude distribution of reflectivity parameters and the EDR (Zmax, EDRmax) for thunderstorms and hail was carried out, which showed the low distinguishing ability of each individual parameter when solving the problem to classify MP within the assigned alphabet. …”
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Research on Fusion of Locomotive Safety Monitoring and Detection Data and Its Application by GONG Li, QIAO Bin, ZHAO Chao, YAO Kai

“…A cleaning scheme for locomotive secondary failure is put forward and the intelligent expert analysis is realized. To solve the problems of long cycle, high cost and low efficiency of traditional maintenance methods, a method of equipment quality diagnosis, evaluation and prediction based on decision tree algorithm is put forward to build an intelligent maintenance system. …”
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