Design of a Prediction Model to Predict Students’ Performance Using Educational Data Mining and Machine Learning by Jayasree R, Sheela Selvakumari

“…Through research and extension efforts, higher education institutions must perform a variety of functions, including building an intelligent human resource pool, gaining new skills, and creating new knowledge. …”
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Measuring a family sense of coherence: a rasch-based study extending dyadic data analyses by Marie-Louise Möllerberg, Kristofer Årestedt, Peter Hagell, Jeanette Melin

“…This study explores dyadic data analysis from the dyadic- and single-informant perspectives, and the measurement properties of the FSOC-S12 according to the Rasch model. …”
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Novel metrics and LSH algorithms for unsupervised, real-time anomaly detection in multi-aspect data streams by Samira Khodabandehlou, Alireza Hashemi Golpayegani

“…This approach proposes two novel Locality-Sensitive Hashing (LSH) functions: Gaussian projections to preserve numerical distances and collision-resistant linear hashing to prevent the increase in dimensionality of the categorical data. …”
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Experimental Analysis on Hairpin Curves by Paolo Discetti

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Empowering data-driven load forecasting by leveraging long short-term memory recurrent neural networks by Waqar Waheed, Qingshan Xu, Muhammad Aurangzeb, Sheeraz Iqbal, Saadat Hanif Dar, Z.M.S. Elbarbary

“…Conventional statistical analysis and machine learning methods struggle with accurately capturing the intricate temporal relationships present in load data. …”
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Qualitative Analysis of Micro-System-Level Factors Determining Sport Persistence by Bence Tamás Selejó Joó, Hanna Czipa, Regina Bódi, Zsuzsa Lupócz, Rozália Paronai, Benedek Tibor Tóth, Hanna Léna Tóth, Oszkár Csaba Kocsner, Buda Lovas, Csanád Lukácsi, Mátyás Kovács, Karolina Eszter Kovács

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Whole genome sequencing data of greater burdock (Arctium lappa) naturalized in the United States of AmericaZenodo by Danae Kala Rodriguez Bardaji, Girish Kumar, Samantha Tran, Gabriella Fedus, Michael A. Savka, Dawn Carter, André O. Hudson

“…Scaffolding against a Chinese A. lappa reference genome improved genome completeness from 49.1 % to 94.93 %, successfully recovering the majority of protein-coding genes.Variant analysis identified approximately 20.8 million Single Nucleotide Polymorphisms (SNPs) and 1.3 million indels, including functionally significant mutations. …”
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Augmenting insights into heat transfer performance of direct-contact evaporator: An interpretable data-driven hybrid strategy by Yinzhen Tan, Bo Yu, Jianxin Pan, Wuliang Yin, Min Wang, Hua Wang, Kai Yang, Qingtai Xiao

“…Then, the steam flow rate was decomposed into a series of intrinsic mode functions by intrinsic computing expressive empirical mode decomposition with adaptive noise (ICEEMDAN) and the intrinsic mode functions were divided into high-complexity and low-complexity components by fuzzy entropy (FE). …”
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Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients by Ramadhani Chambuso, Takudzwa Nyasha Musarurwa, Alessandro Pietro Aldera, Armin Deffur, Hayli Geffen, Douglas Perkins, Raj Ramesar

“…Annovar, Intervar, Variant Effect Predictor (VEP), and OncoKB software tools were used to functionally annotate and interpret somatic variants detected. …”
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FRB Line-of-sight Ionization Measurement from Lightcone AAOmega Mapping Survey: The First Data Release by Yuxin Huang, Sunil Simha, Ilya S. Khrykin, Khee-Gan Lee, J. Xavier Prochaska, Nicolas Tejos, Keith W. Bannister, Jason Barrios, John Chisholm, Jeff Cooke, Adam T. Deller, Marcin Glowacki, Lachlan Marnoch, R. M. Shannon, Jielai Zhang

“…We summarize the information on our selected FRB fields, the criteria for target selection, methodologies employed for data reduction, spectral analysis processes, and an overview of our data products. …”
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Clinical analysis of 163 pediatric patients with infectious mononucleosis: a single‐center retrospective analysis by Yan Li, Kun Wang

“…Methods In this retrospective study included 163 pediatric patients with EBV infections treated at the Children's Hospital of Soochow University from December 2017 to December 2019. Data collected through retrospective analysis included gender, age, clinical symptoms, signs, liver function tests, T‐cell subset distribution, EBV‐DNA copy numbers in plasma, and treatment outcomes. …”
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TCF19 expression and significance analysis in breast cancer: integrated bioinformatics analysis and histological validation by Haiyang Yu, Jingjing Wei, Qinhao Chen, Yueyin Pan, Xiaojun Qian, Jing Pan, Yubei Sun

“…This study aims to clarify the function of TCF19 and explore its mechanisms across various cancers, with a specific focus on breast cancer, using bioinformatics analysis and histological validation. …”
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Research progress on the application of digital technology in the diagnosis and treatment of tooth wear by HE Yi, WANG Dingjie, XIAO Yuhong

“…Tooth wear not only affects the oral function and esthetics of patients but may also lead to tooth sensitivity, temporomandibular joint diseases, and other related complications. …”
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Integrated meta-analysis and network pharmacology analysis: evaluation of Zhigancao decoction as treatment for diabetic cardiomyopathy by Kangshou Ji, Kangshou Ji, Meizi Han, Mingqian Yang, Qian Xu, Yan Zhang, Yan Zhang

“…As of now, there are no data to support its use as a treatment for diabetic cardiomyopathy (DCM) and the mechanism behind the effect is unclear as well. …”
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Efficacy analysis of neuroprotective drugs in patients with acute ischemic stroke based on network meta-analysis by Mei Li, Xianhao Huo, Qing Chang, Xiaozhuo Liu, Jianning Zhang, Zhiqi Mao

“…Data were extracted from the studies identified, and their quality was assessed using the Cochrane risk-of-bias tool or the Newcastle–Ottawa Scale (NOS). …”
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Approaches to the Assessment Liabilities’Analysis by T. V. Pashchenko, N. N. Shakirova

“…The paper substantiates the approach to the assessment liabilities as an independent object of analysis. The research theme is relevant from several positions: the formation trend of estimated liabilities is gaining wide popularity; their creation is dictated by new trends in the macro-environment; stakeholders’ requirements; transforming legislation in accounting and reporting; the competitive environment for the functioning of an economic entity. …”
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Novel feature extraction method for signal analysis based on independent component analysis and wavelet transform. by Mariusz Topolski, Jędrzej Kozal

“…Feature extraction is an important part of data processing that provides a basis for more complicated tasks such as classification or clustering. …”
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SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 2; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

“…However, SentemQC cannot function independently. Additional QA-QC steps are crucial, including calibration of the sensor data to correct for zero offsets and implementation of gap-filling methods prior to the use of the sensor data for determination of final real-time concentrations and load calculations.…”
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SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 1; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

“…However, SentemQC cannot function independently. Additional QA-QC steps are crucial, including calibration of the sensor data to correct for zero offsets and implementation of gap-filling methods prior to the use of the sensor data for determination of final real-time concentrations and load calculations.…”
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