MEASURING TECHNOLOGICAL CAPABILITY AND BUSINESS PERFORMANCE POST-COVID ERA: EVIDENCE FROM SMALL AND MEDIUM-SIZED ENTERPRISES(SMEs) IN NIGERIA by Timilehin Olasoji OLUBIYI

“…Using descriptive and inferential statistics, the acquired data was analysed (Pearson product moment correlation and regression analysis). …”

Sintesis Teologi Lingkungan: Perbandingan Pemikiran Seyyed Hossein Nasr Dan Joseph Sittler by Ridho Afifudin, Fajar Muammal Rully S

“…This study used a literature review method. Data collection and analysis were performed based on the data collected from various scientific sources from the two figures. …”
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Reoccurring science identities: by Anna-Karin Westman, Anders Jidesjö, Magnus Oskarsson

“… This paper examines Swedish secondary students’ interest in science and technology from a gender perspective in a comparative research design using quantitative data collected 2003 and 2020. National data has been collected from 610 15-year-old students in 2020 as part of a large-scale comparative research project, the Relevance of Science Education - Second (ROSES) and compared with data from the Relevance of Science Education (ROSE) study from 2003. …”
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Student intention to use MUVEs: An integrated model of technology acceptance and learning engagement theories by Feng Zhang, Gege Li, Heng Luo

“…The core data of SEM includes path coefficients (e.g., standardized regression coefficients), which represent the direct or indirect effects between variables, and fit indices (e.g., CFI, TLI, RMSEA, and SRMR), which assess the degree of alignment between the model and the observed data. …”
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Blended learning challenges of EFL undergraduate students: Student learning experience in an AI-integrated ESP course by Pimsiri Taylor

“…Using a mixed-method approach, student data were collected and analysed using Microsoft Teams learning analytics and triangulated with a questionnaire and focus group interview data. …”
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Navigating a citizen science food waste project by Cody Gusto, Catherine Campbell, Kay Kelsey, Ziynet Boz

“…Our study gathered two rounds of empirical household data on food and food-related packaging discard behav­iors to refine a predictive agent-based model designed by our project partners to simulate house­hold food waste patterns and implications. …”
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The Impact of Digital Marketing on Promotion and Sustainable Tourism Development by Artan Veseli, Leureta Bytyqi, Petrit Hasanaj, Agron Bajraktari

“…The data were analyzed qualitatively using a thematic analysis approach, encompassing a multi-step coding process involving data categorization, reduction, and display techniques. …”
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Use of Artificial Intelligence Chatbots in Interpretation of Clinical Chemistry and Laboratory Medicine Reports: A Standardized Approach by Fabiana D’Urso, Federica Paladini, Mauro Pollini, Francesco Broccolo

“…These findings have significant implications for patient empowerment and healthcare communication efficiency.…”
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Assessing The Potential for Transportation Mode Switching in Mid-Sized Urban Areas using Binary Logistic Regression by Said Basalim, Akhmadali Akhmadali

“…After various initial data screening, 654 respondents' responses were available for further investigation. …”
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Leadership and psychological capital in enhancing the performance of child-friendly schools for chil-dren’s physical activities by Sri Lestari, Joko Sutarto, Tri Joko Raharjo, Sandy Arief

“…Data analysis uses SEM-PLS technique with the SmartPLS 4 analysis tool to test the predictive relationship between each construct. …”
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Digital platforms for state support of the Olympiad process by Anna V. Diachkova, Dmitry E. Kornev

“…A new digital product is needed that combines the advantages of state systems (data centralization) and niche services (flexibility, focus on schoolchildren), providing end-to-end monitoring of the educational track. …”
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Navigating a citizen science food waste project by Cody Gusto, Catherine Campbell, Kay Kelsey, Ziynet Boz

“…Our study gathered two rounds of empirical household data on food and food-related packaging discard behav­iors to refine a predictive agent-based model designed by our project partners to simulate house­hold food waste patterns and implications. …”
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Does Islamic social finance promote the quality of human resources? by Siswantoro Siswantoro, Ihsanul Ikhwan

“…Methodology – A total of 102 panel data, a combination of data from 34 provinces in Indonesia (cross section) for a period of three years from to 2020-2022 (time series), were analyzed using a fixed effects panel model approach. …”
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Prototyping a graph-based approach for efficient vehicle tracking in a cluster controlled CCTV surveillance systems by Apurva NARAYAN, Charumathi PARIVALLAL, Olirva MAHESWARAN, Sarath CHANDRAN KALATHILPARAMBIL RAMACHANDRAN

“…The architecture offers scalable and adaptive solutions, aiming to improve the traffic management and emergency response by providing actionable insights through seamless integration of visual, audio, and textual data. This innovation has the potential to set new benchmarks in the intelligent traffic surveillance systems, with significant implications for public safety and urban mobility. …”
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Scale-dependent and background-preserving gravity from an action: cosmological tests by Wiliam S. Hipólito-Ricaldi, Rodrigo von Marttens, Felipe de Melo-Santos, Davi C. Rodrigues

“…Although previous results indicated that this model is more flexible than $$\Lambda $$ Λ CDM regarding RSD data, potentially alleviating tensions, this advantage becomes negligible with the current extended data set. …”
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Destination Buzzers: Netnographying Digital Nomads by Ioulia Poulaki, Eirini Vlassi, Eleni Mavragani, Eleftheria Chatzimichali, Andreas Papatheodorou

“…These insights carry significant implications for destination managers and tourism stakeholders. …”
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RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model by Lingling Cui, Jiacheng Liao

“…Data preprocessing ensures data quality and suitability. …”
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Driving sustainable supply chain performance through digital transformation: the role of information exchange and responsiveness by Mohammad Zaid, Rahela Farooqi, Shujaat Naeem Azmi

“…The study employs a quantitative research method, collecting data from 234 respondents through a survey questionnaire. …”
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Impact of Anchoring, Herding and Loss-Aversion on Working Women’s Investment Decision-Making by H. Srivastava, S. Moid, N. J. Rushdi

“…A structured questionnaire is used for the collection of data, which is based on a five-point Likert scale. …”
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Model interpretability on private-safe oriented student dropout prediction. by Helai Liu, Mao Mao, Xia Li, Jia Gao

“…While existing machine learning and deep learning models can effectively predict dropout risks, they often rely on real student data, raising ethical concerns and the risk of information leakage. …”
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