Mitochondrial stress disassembles nuclear architecture through proteolytic activation of PKCδ and Lamin B1 phosphorylation in neuronal cells: implications for pathogenesis of age-r... by Adhithiya Charli, Yuan-Teng Chang, Jie Luo, Bharathi Palanisamy, Emir Malovic, Zainab Riaz, Cameron Miller, Manikandan Samidurai, Gary Zenitsky, Huajun Jin, Vellareddy Anantharam, Arthi Kanthasamy, Anumantha G. Kanthasamy, Anumantha G. Kanthasamy

“…This mechanistic insight may have important implications for the etiology of age-related neurodegenerative diseases resulting from mitochondrial dysfunction as well as for the development of novel treatment strategies.…”
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Role of ADME genes in breast cancer prognosis: an analysis of risk scoring models based on multi-omics data by Jie Jin, Xueyun Zhao, Miao Deng, Lingyan Du

“…Therefore, an ARPS (ADME related prognostic signature) was created in this study to examine the clinical implications of ARGs in patients with BC.MethodsA multi-omics investigation of ADME-related genes in BC was conducted using bulk RNA sequencing, single-cell RNA sequencing, and spatial transcriptome data. …”
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Public Service Motivation and Attrition: Studying Individual-Level Turnover Behavior in the Public Sector Using Panel Data by Michael Bednarczuk

“…This study addresses this gap by using longitudinal data from the Youth-Parent Socialization Study to examine the relationship between pre-employment PSM-related values and long-term turnover behavior in the public sector. …”
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Global value chains, technological sophistication and economic complexity: panel data for 58 economies from 2006 to 2015 by Raul Costa Cavalcanti Manso, Camila do Carmo Hermida

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Assessing an experimental rule change in the pay-offs for soccer league match outcomes using historical data for Ireland by Shilan Dargahi, Barry Reilly

“…This pay-off structure was designed to incentivize visiting teams to engage in more offensive play, thus potentially increasing the number of goals scored per game and reducing the incidence of drawn games.MethodsUsing match-level data for six playing seasons, the impact of this reward scheme on an array of match-level outcomes is evaluated using an array of fixed effects regression models.Results and discussionThe key empirical findings suggest this change to the pay-off structure did not reduce the drawn game rate but did induce a modest increase in the average goal scoring of the home team with subsequent implications for average goal difference. …”
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Testing Assumptions in Deliberative Democratic Design: A Preliminary Assessment of the Efficacy of the Participedia Data Archive as an Analytic Tool by Graham Smith, John Gastil, Matt Ryan, Robert C. Richards

“…We conclude with reflections on the implications of our findings for deliberative theory, the design of democratic innovations, and the utility of Participedia as a data archive.…”
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Learner stimulus intent: a framework for eye tracking data collection and feature extraction in computer programming education by K. R. Chandrika, J. Amudha

“…The comprehensive data collection, extraction of eye gaze and semantic features, and effective visualization techniques can be utilized to evaluate students’ understanding and engagement, offering a more nuanced and detailed picture of their learning progress than traditional assessment methods. …”
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Revealing spatiotemporal variations in areas potentially linked to COVID-19 spread using fine-grained population data by Nobumasa Ishida, Masashi Toyoda, Kazutoshi Umemoto, Koji Zettsu

“…In this study, we utilise fine-grained spatiotemporal population data obtained from mobile devices to identify areas and time of day that may contribute to COVID-19 spread, and investigate how they change throughout different waves of the pandemic. …”
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AI-Generated Questions in Context: A Contextualized Investigation Using Platform Data, Student Feedback, and Faculty Observations by Rachel Van Campenhout, Benny G. Johnson, Michelle Clark, Melissa Deininger, Shannon Harper, Kelly Odenweller, Erin Wilgenbusch

“…Previous research studies used aggregated data from all questions answered by all students to complete the largest evaluation of the performance metrics for automatically generated questions. …”
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Real Time Estimation of the Wind Speed Components Based on Measurement Data from Satellite Navigationand Barometric Measurements by Oleg N. Korsun, Moung Htang Om

“…The findings have significant implications across various domains such as aviation safety enhancement, meteorology applications, and overall operational efficiency improvement of aircraft.…”
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Digital resource engagement, health challenges, and mathematical achievement in school children: An in-depth analysis of PISA data 2022 by Dirgha Raj Joshi, Jeevan Khanal

“…This study aims to explore the global trends in digital resource utilization within mathematics education and investigate the relationship between their use, reported health issues, confidence in mathematics, and overall mathematics achievement. Drawing upon data from the Programme for International Student Assessment (PISA) 2022, which involved 613,744 participants across 81 countries (including 37 OECD countries), we employ frequency, percentage analysis, and structural equation modeling (SEM) for data analysis. …”
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Using GPS Probe Speed Data to Estimate the Attribution of Speeding on Casualty Crashes: A Case Study in Queensland by David W. Soole, Steve O'Hern, Max Cameron, Sujanie Peiris, Stuart Newstead, Warren Anderson, Tracey Smith

“…While the relationship between vehicle speed and crash risk and severity are well understood, precise quantification of the attribution of speeding to casualty crashes remains elusive, due in part to the lack of reliable network-wide speed survey data. A relatively new source of network-wide speed data is Global Positioning System (GPS) probe data. …”
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Colored linear inverse model: A data-driven method for studying dynamical systems with temporally correlated stochasticity by Justin Lien, Yan-Ning Kuo, Hiroyasu Ando, Shoichiro Kido

“…The linear inverse model (LIM) is a class of data-driven methods that extract dynamic and stochastic information from finite time-series data of complex systems. …”
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Conduction Abnormalities after Transcatheter Aortic Valve Implantation: Incidence, Impact and Management Using CT Data Interpretation by Rutger-Jan Nuis, Mark van den Dorpel, Rik Adrichem, Joost Daemen, Nicolas Van Mieghem

“…Moreover, leveraging MSCT data for computational 3D simulations to predict device-anatomy interactions may help guide procedural strategy to mitigate conduction abnormalities. …”
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Data-driven iterative refinements to educational development services: directly measuring the impacts of consultations on course and syllabus design by Chad Hershock, Emily Daniels Weiss, Jacqueline Stimson, Jessica Harrell, Katie Walsh, Laura Ochs Pottmeyer, Marisella Rodriguez, Sophie le Blanc

“…Evidence-based practice in educational development includes leveraging data to iteratively refine center for teaching and learning (CTL) services. …”
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Investigating the Impact of Big Data Analytics on Perceived Sales Performance: The Mediating Role of Customer Relationship Management Capabilities by Muhammad Shahbaz, Changyuan Gao, Lili Zhai, Fakhar Shahzad, Adnan Abbas, Rimsha Zahid

“…A persistent question for information technology researchers and practitioners is how big data analytics (BDA) can improve sales performance. …”
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A PRISMA-driven systematic review of data mining methods used for defects detection and classification in the manufacturing industry by Blanka Bártová, Vladislav Bína, Lucie Váchová

“…Recently, authors often combine different DM methods, and also methods for data dimensionality reduction are often used. Implications for theory and practice This study contributes to the quality management literature by extending a summary of recently used DM methods for defect detection and classification. …”
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Enhancing construction supply chain Sustainability: The synergistic role of big data analytics and organizational culture using SEM by Amir Mohammad Norouzzadeh, Seyed Pendar Toufighi, Abolfazl Edalatipour, Jan Vang, Mooud Dabaghi Roodsari

“…This study examines the interplay between Big Data Analytics (BDA) and Organizational Culture (OC) in promoting Construction Supply Chain Sustainability (CSCS). …”
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Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making by Oreofeoluwa A. Akintan, Kifle G. Gebremedhin, Daniel Dooyum Uyeh

“…The global demand for high-quality animal products, particularly dairy, has intensified the need for more precise and efficient livestock feed formulation. This review connects data-driven decision-making in optimizing feed formulation to enhance milk quantity and quality while addressing animal health implications. …”
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Clinical correlates of data-driven subtypes of deep gray matter atrophy and dopamine availability in early Parkinson’s disease by Yoonsang Oh, Joong-Seok Kim, Gilsoon Park, Sang-Won Yoo, Dong-Woo Ryu, Hosung Kim

“…Using the Subtype and Stage Inference (SuStaIn) technique, we categorized data-driven subtypes of PD by examining the deep gray matter volume and dopamine availability and compared cardiac denervation, cognition, and motor symptoms between these subtypes. …”
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