Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies by Marissa Mock, Alex W. Jacobitz, Christopher James Langmead, Athena Sudom, Daniel Yoo, Sara C. Humphreys, Mai Alday, Larysa Alekseychyk, Nicolas Angell, Vivian Bi, Hannah Catterall, Chen-Chun Chen, Hui-Ting Chou, Kip P. Conner, Kevin D. Cook, Ana R. Correia, Andrew Dykstra, Sudipa Ghimire-Rijal, Kevin Graham, Peter Grandsard, Joon Huh, John O. Hui, Mani Jain, Victoria Jann, Lei Jia, Sheree Johnstone, Neelam Khanal, Carl Kolvenbach, Linda Narhi, Rupa Padaki, Emma M. Pelegri-O’Day, Wei Qi, Vladimir Razinkov, Austin J. Rice, Richard Smith, Christopher Spahr, Jennitte Stevens, Yax Sun, Veena A. Thomas, Sarah van Driesche, Robert Vernon, Victoria Wagner, Kenneth W. Walker, Yangjie Wei, Dwight Winters, Melissa Yang, Iain D. G. Campuzano

“…To support development of high-quality predictive models for antibody developability, we designed a sequence-diverse panel of 83 effector functionless IgG1 antibodies displaying a range of biophysical properties, produced and formulated each protein under standard platform conditions, and collected a comprehensive package of analytical data, including in vitro assays and in vivo mouse pharmacokinetics. …”
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Description of global innovative methods in developing the WHO Community Engagement Package by Jackeline Alger, Don Mathanga, Semeeh Akinwale Omoleke, Noel Juban, Meredith Labarda, Obinna Ikechukwu Ekwunife, Obioma Nwaorgu, Allan Ulitin, Jana Deborah Mier-Alpaño, María Isabel Echavarría, Yolanda Vargas Bayugo, Jose Rene Bagani Cruz, Pauline Marie Padilla Tiangco, Ukam Ebe Oyene, Alberto Ong Jr, Marvinson See Fajardo, Barwani Khaura Msiska, Lorena Abella Lizcano, Natalia Gomez Quenguan, Claudia Ivette Nieto Anderson, Briana Yasmin Beltran, Elsy Denia Carcamo Rodriguez, Eduardo Salomón Núñez, Vera Nkosi-Kholimeliwa, Glory Mwafulirwa-Kabaghe

“…The package aims to guide practitioners to promote local action and enhance skills for CE.Setting and participants The packages were co-created with diverse teams from WHO, Social Innovation in Health Initiative, UNICEF, community practitioners, and other partners providing synergistic contributions and bridging existing silos.Methods The design process of the package was anchored on CE principles. …”
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Big data tax collection and management, enterprise financialization and enterprise innovation: Quasi-natural test evidence based on the "Golden Tax Phase III". by Deliang Zhou, Zexuan Zhang

“…In the era of digital economy, big data tax collection and management has become an important governance tool for digital government. …”
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Measurement Properties of Wearable Kinematic-Based Data Collection Systems to Evaluate Ball Kicking in Soccer: A Systematic Review with Evidence Gap Map by Luiz H. Palucci Vieira, Filipe M. Clemente, Rui M. Silva, Kelly R. Vargas-Villafuerte, Felipe P. Carpes

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Defining acceptable data collection and reuse standards for queer artificial intelligence research in mental health: protocol for the online PARQAIR-MH Delphi study by Julia Hamer-Hunt, Dan W Joyce, Andrey Kormilitzin, Nenad Tomasev, Kevin R McKee

“…Before agreeing to participate, people will be given information about the issues considered to be in-scope for the Delphi (eg, developing best practices and methods for collecting and harmonising sensitive characteristics data; developing guidelines for data use/reuse) alongside specific risks of unintended harm from participating that can be reasonably anticipated. …”
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A Playful Participatory Planning System (P-PPS): A Framework for Collecting and Analyzing Player-Generated Spatial Data from Minecraft Worlds by Ítalo Sousa de Sena, Lasith Niroshan, Jonáš Rosecký, Vojtěch Brůža, Micheál Butler, Chiara Cocco

“…Among these, Minecraft has been widely utilized to engage children, leveraging its virtual environment to represent geospatial data. However, systematic methods for collecting and analyzing player-generated data within Minecraft remain underexplored. …”
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Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems by Ting Fu, Joshua Stipancic, Sohail Zangenehpour, Luis Miranda-Moreno, Nicolas Saunier

“…The purpose of this research is to integrate existing computer vision methods for automated data collection and evaluate the detection, classification, and speed measurement performance of thermal video sensors under varying lighting and temperature conditions. …”
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Node Location Method of Ecological Environment Monitoring Network Based on Zigbee by Linsen Li

“…The static weight coefficient of the collected data of the ecological environment monitoring network nodes is modified. …”
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Optimal-Transport-Based Positive and Unlabeled Learning Method for Windshear Detection by Jie Zhang, Pak-Wai Chan, Michael Kwok-Po Ng

“…In this paper, we aim to investigate a machine learning method for windshear detection based on previously collected wind velocity data and windshear records. …”
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An Identification Method for Road Hypnosis Based on the Fusion of Human Life Parameters by Bin Wang, Jingheng Wang, Xiaoyuan Wang, Longfei Chen, Chenyang Jiao, Han Zhang, Yi Liu

“…Eye movement data and EEG data are collected through vehicle driving experiments and virtual driving experiments. …”
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The Influence of Payment Methods, Discounts, and Free Shipping on Purchase Decisions in the Shopee Application for Generation Z in Surabaya City by Arde Agung Hidayatulloh, Ugy Soebiantoro

“…From the data analysis using the Partial Least Squares (PLS) method, it was found that payment methods, discounts, and free shipping significantly influence purchasing decisions. …”
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Energy Prediction Method for Metro HVAC Systems based on the ARMA Model by Huang Ronggeng, Long Jing, Pan Zhigang, Chen Huanxin, Liu Jiangyan, Liu Jiahui, Li Zhengfei

“…This paper proposes an energy consumption-prediction method for metro heating, ventilation and air-conditioning (HVAC) systems based on an auto-regressive moving average (ARMA) model using a time-series data analysis. …”
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EFFECTS OF POINT-PIN REWARD METHOD TOWARDS STUDENTS’ INTEREST AND ACQUISITION by Nanik - Setyaningsih, Djukri Djukri

“…The number of participants consisted of 41 students divided into 2 classes, the control class and the experimental class. Data for students’ interest in learning were collected using interest questionnaires analyzed using a Likert scale. …”
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Air quality prediction method based on improved BCCSA and deep LSTM by Wei Shiyue, Xu Hongzhen

“…Firstly, the method of seasonal adjustment is proposed to preprocess the collected original air quality data in order to eliminate the influence of season on prediction. …”
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Preparing Nanosilica Particles from Rice Husk Using Precipitation Method by Rusel Zahraw Farhan, Shahlaa Esmail Ebrahim

“…The precipitation method was used to prepared Nanosilica powder from rice husk ash, after treating it thermally at 700°C, followed by dissolving the silica in the alkaline solution and getting a sodium silicate solution. …”
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Method for Effectively Utilizing Node Energy of WSN for Coal Mine Robot by Xiliang Ma, Ruiqing Mao

“…As a special application scenario, the data collected by wireless sensor networks of coal mine robot is from vital and dangerous environment. …”
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Development of a Practical Method to Estimate the Eco-Level of Driver Performance by Jianbin Zheng, Yiping Wu

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Methods of Communication for the Purpose of Political Marketing and Campaigns in the Kurdistan Region of Iraq A Descriptive Study by Mohammedali Yaseen Taha, Aryana Ibrahim Mohammed

“…The results of the field data collected for this study is presented in the last part in addition to some concluding remarks. …”
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CTA image segmentation method for intracranial aneurysms based on MGLIA net by Lijie Hou, Jian Zhang, Lihui Zhao, Ke Meng, Xin Feng

“…Currently, the segmentation methods for intracranial aneurysms using CTA big data and deep learning lack universality. …”
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Variance Entropy: A Method for Characterizing Perceptual Awareness of Visual Stimulus by Meng Hu, Hualou Liang

“…Entropy, as a complexity measure, is a fundamental concept for time series analysis. Among many methods, sample entropy (SampEn) has emerged as a robust, powerful measure for quantifying complexity of time series due to its insensitivity to data length and its immunity to noise. …”
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