Behavioral Biases in Investor Decision-Making: A Comparative Meta-Analysis of Behavioral Finance Research by Seyed Amir Sabet, Saeed Aibaghi esfahani, Abdolmajid Abdolbaghi Ataabadi

“…There are insufficient quantitative studies on lesser-known biases and emerging markets. …”
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Evaporation Duct Anomalies Caused by Mesoscale Eddies in the Kuroshio Extension by Yuan Gao, Yongchui Zhang, Xiaofeng Zhao, Yang Shi, Xiangming Guo, Bo Wang

“…Abstract Evaporation duct anomalies are always present above various oceanic processes, and their response to ubiquitous mesoscale eddies in the Kuroshio Extension region is quantitatively analyzed for the first time in this study using a synthetic analysis method based on reanalysis data sets and eddy trajectory data sets. …”
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AN ANALYTICAL OVERVIEW OF THE LEVEL OF VISUAL-ARTISTIC DEVELOPMENT IN UPPER PRIMARY SCHOOL STUDENTS by Jerneja Herzog, Kristinka Selaković

“…Descriptive statistics were applied, and the collected data were quantitatively processed using SPSS Statistics 2022. …”
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Fairness in Federated Learning: Trends, Challenges, and Opportunities by Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng

“…This survey thus explores the diverse sources of bias, including but not limited to, data, client, and model biases, and thoroughly discusses the strengths and limitations inherited within the array of the state‐of‐the‐art techniques utilized in the literature to mitigate such disparities in the FL training process. …”
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The Effect Polychronicity on Employee Engagement by Sahat Andalan Juliwan Saputra Tarihoran, Muhammad Donal Mon, Evi Silvana Muchsinati 

“…Purposive sampling and procedure were employed in the survey method data collection for the quantitive investigation. …”
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Use of Dea as a Measure of Efficiency of Activities for Road Safety at The Provincial Level by Teresa Gądek-Hawlena

“…It seems necessary to consider additional information and data on the course of the analysed processes to make rational decisions.…”
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Monitoring the Time-Lagged Response of Land Subsidence to Groundwater Fluctuations via InSAR and Distributed Fiber-Optic Strain Sensing by Qing He, Hehe Liu, Lu Wei, Jing Ding, Heling Sun, Zhen Zhang

“…Subsequently, the seasonal-trend decomposition using the LOESS (STL) model was applied to extract annual cyclic deformation components from the InSAR-derived time series. To quantitatively assess the delayed response of land subsidence to groundwater level changes and subsurface strain evolution, time-lagged cross-correlation (TLCC) analysis was performed between surface deformation and both groundwater level data and distributed fiber-optic strain measurements within the 5–50 m depth interval. …”
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Study protocol for the Rainbow Austrian Longitudinal Family (RALF) study: a longitudinal, multi-method, multi-rater investigation of risk and resilience factors in Austrian LGBTQ+ ... by Betty Geidel, Magdalena Siegel, David Steyrl, Abbie E. Goldberg, Guy Bodenmann, Martina Zemp

“…We will assess child adjustment outcomes across three child cohorts, parental mental health, and family processes across three annual data waves through online questionnaires. …”
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Advanced Mathematical Modeling of Hydrogen and Methane Production in a Two-Stage Anaerobic Co-Digestion System by Olympia Roeva, Elena Chorukova, Lyudmila Kabaivanova

“…The models demonstrated good agreement with the experimental data across all measured process variables. Notably, the MPA exhibited superior data fitting accuracy, as quantitatively confirmed by the objective function value, compared to GA, COA, and the A-S algorithm.…”
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CTF development, verification, and validation for VVER core thermal-hydraulics and multi-physics modeling and simulation by Yesim Kutlu, Ivan Spasov, Svetlomir Mitkov, Pascal Rouxelin, Agustin Abarca, Nikola Kolev, Maria Avramova, Kostadin Ivanov, Kostadin Ivanov

“…The outcomes from the various studies of single-physics and multi-physics cases used for CTF verification and validation met the initial expectations both qualitatively and quantitatively. The results of the numerical verification and experimental validation are in good agreement with the corresponding reference data.…”
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FAULT DIAGNOSIS OF ROLLING BEARING BASED ON LEARNING SAMPLE SELECTION VIA CORRELATION ENERGY FLUCTUATION EVALUATION AND DEEP BELIEF NEURAL NETWORK (MT) by QIN Bo, LUO QuanYi, FENG WeiWei, ZHANG Peng, ZHAO ZhenHua, LI ZiXian, WANG Zhuo

“…The data-driven intelligent diagnosis of rolling bearing status suffers from low recognition rate due to the poor quality of learning samples in the process of identification model construction. …”
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Safety Risk Prediction Model of High-Rise Building Construction Based on Key Physiological Index by Haiyan Chen, Yihua Mao, Rui Wang

“…The BP neural network model and support vector machine (SVM) are, respectively, used to establish the safety risk prediction model of high-rise construction workers based on key indicators, to quantitatively assess the construction risk of the construction workers in the process of high-rise construction. …”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…The study incorporated an internal pilot phase with ‘Stop/go’ criteria that included quantitative and qualitative assessments. The progression criteria were designed to allow for mitigating strategies to be discussed to allow for some adaptation to recruitment processes in the main study. …”
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Automated depth correction of bathymetric LiDAR point clouds using PointCNN semantic segmentation by Ovi Paul, Nima Ekhtari, Craig L. Glennie

“…To achieve this, PointCNN, a convolutional neural network model adept at handling unorganized and unstructured data in 3D space was implemented. The model was trained with airborne bathymetric lidar data from the Swan River in Montana and the Eel River in California. …”
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Identifying Medication Review Topics to Be Documented in a Structured Form in Electronic Health Record Systems: Delphi Consensus Survey by Tanja Lindholm, Noora Lias, Kirsi Kvarnström, Anna-Riia Holmström, Terhi Toivo, Marjo Uusitalo, Harri Nurmi, Marja Airaksinen

“…To improve data transfer and interoperability, patient information should be documented in a structured format. …”
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DEVELOPMENT OF PREDICT-OBSERVE-EXPLAIN (POE) BASED AUTHENTIC PROBLEMS’ INSTRUCTIONAL PACKAGE TO IMPROVE STUDENTS’ CRITICAL THINKING SKILLS by Aulia Fauzan Noor, Rahmat Yunus, Suyidno Suyidno, Fahmi Fahmi

“…The results of the data were analyzed quantitatively and qualitatively and the results obtained that the learning tools were categorized as very valid, practical, and effective. …”
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A functional approach to model intrinsic capacity in ageing trajectories by Mary Carlota Bernal, Edgar Batista, Antoni Martínez-Ballesté, Agusti Solanas

“…Abstract The ageing process is a multifaceted phenomenon that affects individuals’ physical, cognitive, and psychological well-being over time. …”
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Automating areas of interest analysis in mobile eye tracking experiments based on machine learning by Julian Wolf, Stephan Hess, David Bachmann, Quentin Lohmeyer, Mirko Meboldt

“…This makes mobile eye tracking studies with several hours of recording difficult to analyse quantitatively. We introduce a new machine learning-based algorithm, the computational Gaze-Object Mapping (cGOM), that automatically maps gaze data onto respective AOIs. cGOM extends state-of-the-art object detection and segmentation by mask R-CNN with a gaze mapping feature. …”
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Mathematical Modeling Reveals the Role of Hypoxia in the Promotion of Human Mesenchymal Stem Cell Long-Term Expansion by Shuhua Gao, Cheng Xiang, Kairong Qin, Changkai Sun

“…A two-compartment model based on ordinary differential equations (ODEs), which incorporate cellular division and senescence via state transition, was developed to describe the MSC expansion process. Parameters of this model were fitted to experimental data and used to interpret the different proliferative capacities of MSCs under hypoxia and normoxia along with model sensitivity analysis. …”
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Project-Based Learning with Paired Expert and Beginner Models to Develop Innovative Thinking Skills by Aynin Mashfufah, Intan Sari Rufiana, Slamet Arifin, Ratna Ekawati, Dian Ratna Sari, Haerul Salam

“…Questionnaire filling was used to assess students' perspectives on innovative thinking skills before and after treatment and an assessment rubric to assess the product. Data from the questionnaire was analyzed using the Wilcoxon test and the resulting product was analyzed descriptively quantitatively. …”
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