How to integrate physiological data from wearables in treatment of personality disorders: a narrative review by Luuk L. Lans, Luuk L. Lans, Klaas M. L. Huijbregts, Gerben J. Westerhof, Suzanne W. Haeyen, Suzanne W. Haeyen, Youri P. M. J. Derks, Youri P. M. J. Derks, Matthijs L. Noordzij

“…One innovation is biocueing, a process where patients receive real-time feedback on passive monitoring of significant changes in their physiological data, such as (additional) heart rate, heart rate variability or skin conductance. …”
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A Novel Data-Driven Model for Dynamic Prediction and Optimization of Profile Control in Multilayer Reservoirs by Wei Liu, Hui Zhao, Xun Zhong, Guanglong Sheng, Meilong Fu, Kuiqian Ma

“…In this paper, firstly, a physics-based data-driven model was established on daily production data of injection and production wells following the principle of material balance. …”
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The New Approach to Estimation of the Hazard Function in Business Demography on Example of Data from New Zealand by Pawel Zajac

“…The author presents the new methodology for the estimation of the hazard function for the new born enterprise`s survival rate called FIRM. The methodology is based on construction of a stochastic process and is examined in the Monte Carlo simulation study with real data. …”
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Enhanced Multi-Level Recommender System Using Turnover-Based Weighting for Predicting Regional Preferences by Venkatesan Thillainayagam, Ramkumar Thirunavukarasu, J. Arun Pandian

“…This paper introduces a turnover-based weighting model utilizing a big data processing framework to mine multi-level collaborative filtering patterns. …”
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RETRACTED ARTICLE: Attention Pyramid Convolutional Neural Network Optimized with Big Data for Teaching Aerobics by Chunmei Chen

“…Data from the Simple Ocean Data Assimilation Data Set are collected, preprocessed, and utilized in the teaching process using the Attention Pyramid Convolutional Neural Network, specifically designed for efficient aerobics instruction in coastal areas. …”
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A Python-Based Tool for Real-Time Reverse Osmosis Data Normalization in Desalination Applications by Nitin Prasad, Abhilasha Maheshwari, Ganesh Kumar Pandian, Vijaysai Prasad

“…This work presents the development of a Python-based data normalization tool designed to facilitate RO performance monitoring The tool generates normalized metrics, including salt rejection, pressure difference, and permeate flow rate, providing a clear and consistent baseline for performance evaluation. …”
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Uncovering precision phenotype-biomarker associations in traumatic brain injury using topological data analysis. by Jessica L Nielson, Shelly R Cooper, John K Yue, Marco D Sorani, Tomoo Inoue, Esther L Yuh, Pratik Mukherjee, Tanya C Petrossian, Jesse Paquette, Pek Y Lum, Gunnar E Carlsson, Mary J Vassar, Hester F Lingsma, Wayne A Gordon, Alex B Valadka, David O Okonkwo, Geoffrey T Manley, Adam R Ferguson, TRACK-TBI Investigators

“…Further analyses revealed that this patient subset had high rates of post-traumatic stress disorder (PTSD), and enrichment in several distinct genetic polymorphisms associated with cellular responses to stress and DNA damage (PARP1), and in striatal dopamine processing (ANKK1, COMT, DRD2).…”
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The Use of the Data Envelopment Analysis–Malmquist Approach to Measure the Performance of Digital Transformation in EU Countries by Jarmila Horváthová, Martina Mokrišová

“…Currently, the process of the digital transformation of EU countries is very important and often discussed. …”
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Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data by Wirawan Bayu Andrianto, Siregar Yusni Ikhwan, Sukendi Sukendi, Mulyadi Mulyadi

“…Through the polynomial regression modeling process with python, from the 1990-2018 data we can predict the area of built-up land in Pekanbaru City in 2038 is around 27985.139 hectares with r2 = 0.97. …”
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A data and knowledge-driven practice for ensuring stability in ultra-large intelligent computing clusters by NIU Hongweihua, HUANG Yongbao, DING Guoqiang, HUANG Bao, ZHAO Zhiwen, XU Yang, WANG Tao, ZHANG Ruiling, WANG Xuan, ZHANG Yixiang

“…A data and knowledge-driven stability assurance scheme for such clusters was proposed to address the issues of frequent hardware failures, persistently high task training failure rates, and difficulties in cross-domain problem localization within ultra-large intelligent computing clusters with over ten thousand computing cards. …”
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Dataset of compression after impact testing on carbon fiber reinforced plastic laminatesMendeley Data by Saki Hasebe, Ryo Higuchi, Tomohiro Yokozeki, Shin-ichi Takeda

“…For the CAI tests, both the specimens used in the LVI tests and undamaged specimens were utilized to calculate the strength reduction rate. This dataset includes a test condition list and raw and processed data: 1. …”
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Classification of melanoma skin Cancer based on Image Data Set using different neural networks by Rukhsar Sabir, Tahir Mehmood

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PROACTIVE APPROACH IN TAX RISK MANAGEMENT: DATA ANALYSIS TECHNIQUES TO IDENTIFY HIGH-RISK TAXPAYERS by Funda KARAKOYUN

“…Establishing relationships across taxpayer characteristics and classifying behaviours in the tax risk management process affects the success of tax scenarios. Although, the work of experts in traditional methods and data analysis in auditing is limited, the effectiveness of data mining methods and the combination of the results obtained with tax scenarios approach the desired accuracy rate in risk detection. …”
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Distributed Fiber Optic Sensing for Fracture Geometry Inversion Using All Time Steps Data by Shaohua You, Geyitian Feng, Xiaojun Qian, Qinzhuo Liao, Zhengting Yan, Shuqi Sun, Xu Liu, Shirish Patil

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Fitting nonlinear double sigmoid models to macauba fruit growth data using Bayesian inference by Edilene Cristina Pedroso Azarias, Natiele de Almeida Gonzaga, Édipo Menezes da Silva, Edilson Marcelino Silva, Tales Jesus Fernandes, Joel Augusto Muniz

“…The double Gompertz model best fitted the data. The fruit mesocarp showed no difference in growth rate between the first and second stages of development. …”
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Multivariate data analysis for the development of multiple emulsions based on cold plasma treated sunflower oil by Boisset Laetitia, Dubreuil Brigitte, Thiebaud-Roux Sophie, de Caro Pascale

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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…Abstract Droplet-based microfluidic devices enable the generation of uniform droplets with precise control over size and production rate—key factors in diagnostics and pharmaceutical screening. …”
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Advancing Emotionally Aware Child–Robot Interaction with Biophysical Data and Insight-Driven Affective Computing by Diego Resende Faria, Amie Louise Godkin, Pedro Paulo da Silva Ayrosa

“…The emotion recognition system combines handcrafted and deep learning features for facial expressions, achieving an 85% classification accuracy during real-time CRI, while speech emotions are analyzed using acoustic features processed through machine learning models with an 83% accuracy rate. …”
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Semi-Supervised Fault Diagnosis Method for Hydraulic Pumps Based on Data Augmentation Consistency Regularization by Siyuan Liu, Jixiong Yin, Zhengming Zhang, Yongqiang Zhang, Chao Ai, Wanlu Jiang

“…Comparative experiments based on data from two models of hydraulic pumps verify the superior recognition performance of this method under low label rate.…”
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Intelligent Detection of Oceanic Front in Offshore China Using EEFD-Net with Remote Sensing Data by Ruijie Kong, Ze Liu, Yifei Wu, Yong Fang, Yuan Kong

“…We conduct detailed statistical analysis and change rate calculation of the oceanic front, and batch process to obtain preliminary high-quality annotation data, which improves efficiency and saves time. …”
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