Technological Factors Research Articles

Development Level of Digital Government: A Qualitative Comparative Analysis of Fuzzy Sets Based on 31 Provincial Capital Cities in China

The onset of the information era has accelerated the transformation of digital governance, establishing it as a critical component in the modernization of governance frameworks and capabilities worldwide. Despite considerable advancements in the field of digital government, regional disparities in development remain pronounced, emphasizing the necessity for a coordinated and effective approach. This study employs a qualitative comparative analysis (QCA) of fuzzy sets to assess 31 provincial capitals in China, aiming to discern the digital governance ecosystems that promote the development of digital governments. It is grounded in the TOE framework, which examines the dynamics among technological, organizational, and environmental factors. The results provide empirical insights into the architecture of digital governance, offering a detailed comprehension of performance levels and recommending specific policy directions to enhance digital government progression.

Fuzzy Interpretive Structural Modeling regarding Factors Affecting Employees’ Experience Management in Mashhad University of Medical Sciences

Background: Employees are considered internal customers of the organization, and today, employee’s experience has become a prominent topic in the field of human resources. This study aims to model the factors affecting employees’ experience management in Mashhad University of Medical Sciences using fuzzy interpretive structural modeling. Methods: This applied study was descriptive-analytical conducted in 2023. 10 faculty members, managers, and staff of Mashhad University of Medical Sciences were selected using a purposive sampling method. Interpretive Structural Modeling (ISM) questionnaire consisting of a 7x7 matrix was then given to them, and they were asked to find the contextual relationship between the variables based on the pairwise comparison scale. In the analysis section, fuzzy interpretive structural modeling and MICMAC analysis were used to structure and analyze the status of the factors. Results: 7 organized themes (organizational, physical environment, technological, job, managerial, cultural, and individual factors) were identified for employees’ experience in Mashhad University of Medical Sciences. Findings showed that cultural and managerial factors are at the lowest level of the structure and have more influence and less dependence. In other words, these are the most influential factors on employees’ experience. Job, technology, and organizational factors were placed at the second level. In contrast, individual and physical factors were at the highest level of the structure and had less influence and more dependence on other factors. Conclusion: The findings indicate that Mashhad University of Medical Sciences should focus on strengthening and improving cultural and managerial factors to improve employees’ experience. Additionally, attention to job, technology, and organizational factors, along with addressing individual employee’s needs and providing a favorable physical environment, are essential for employees’ effective experience management at the university. This study, by providing a comprehensive model of factors influencing employees’ experience, assists universities and other organizations in gaining a deeper understanding of this concept and developing effective strategies for its enhancement.

From Smart Cities to Smarter Economies: The Dynamics of Urban Technology and Enterprise Total Factor Productivity

From Smart Cities to Smarter Economies: The Dynamics of Urban Technology and Enterprise Total Factor Productivity

Safeguarding Patient Confidentiality in Telemedicine: A Systematic Review of Privacy and Security Risks, and Best Practices for Data Protection

The COVID-19 pandemic accelerated telemedicine adoption, showcasing its potential in improving healthcare delivery. However, privacy and security risks pose challenges, impeding widespread acceptance. The aim is to investigate the integration of data analytics, data analysis, and data cleaning in telemedicine, focusing on patient data privacy and security, with the goal of proposing strategies to mitigate risks and uphold confidentiality. Utilizing a qualitative approach, privacy and security challenges in telemedicine were investigated. Multiple databases, including PubMed, Embase, and Cochrane Library, were searched from 2018-2023. Inclusion criteria involved English-language, peer-reviewed empirical studies focusing on telemedicine privacy and security. Out of 770 unique records screened, eight studies were included. Full-text review and risk of bias assessment were conducted using CASP tool. Privacy and security, technology hurdles for providers, patient trust, professional training, physical assessment challenges, and disparities among special populations were identified. Environmental, technological, and operational factors contribute to privacy and security risks in telehealth. Technology challenges like restricted access to telehealth tools and poor internet hinder adoption. Data analytics in telemedicine facilitates healthcare transformation, addressing privacy and security while optimizing patient outcomes through advanced analytics techniques and structured data analytics lifecycles. The integration of data analytics in telemedicine shows promise for healthcare transformation by providing insights into patient behavior and policy impacts, while ensuring data privacy and security. Addressing barriers, accelerated by the COVID-19 pandemic, requires infrastructure enhancements and global research efforts for inclusive telehealth ecosystems.

FROM COMPLEXITY TO CLARITY: A DEMATEL ANALYSIS OF CRITICAL BLOCKCHAIN TECHNOLOGY ADOPTION FACTORS

This exploration is initiated with resolute authentic intention of unravelling complex and intricate topics surrounding the adoption of blockchain technology in supply chain management. Thus, through the operation of DEMATEL (Decision Making Trial and Evaluation Laboratory) analysis, a methodological approach known for capturing and evaluating complex relationships is rather crucial as it could transition the complexity inherent in these factors to a state of clarity. It delves into three influences of technological factors namely, scalability, interoperability, and security that serve as decisive influence on blockchain adoption. The study explores the influence of those technological factors and the dynamic of collective impact on decision-making process in blockchain adoption within the supply chain context. The findings produced from this study hold strong implications for practitioners, policymakers, and researchers seeking to enhance the strategic adoption of blockchain technology in supply chain ecosystems.

Navigating the Digital Terrain: Exploring Post-Covid-19 Technology Adoption Dynamics in Nigeria

By investigating the complex effects of technology adoption in Nigeria and offering insight into the dynamic interactions between societal, economic, and technological factors as the global community navigates the post-pandemic era, this study seeks to address significant effects regarding Nigeria's post-COVID-19 technology landscape. The study employed the comprehensive framework, which merged the Technology Acceptance Model (TAM), Innovation Diffusion Theory, and Structuration Theory as a result of the coherence technology adoption model. The cross-sectional survey design gathered primary data through a 5-point Likert scale questionnaire. A simple random sampling technique was adopted to select and analyse 1040 respondents from nine different sectors of the Nigerian economy. Statistical Package for Social Science (SPSS) v25 was utilised for data screening and descriptive statistics, while, SmartPLS v4.0.9.5 was employed to calculate the inferential statistics. Based on the findings from different sectors within the population under investigation, it is clear that all exogenous variables affect the adoption of the technology. The study recommended that local community involvement in technology adoption, legalisation of cutting-edge sectorial compliance, and the use of computer-based evaluation systems for assessment and instructions across educational sectors should be prioritised by the public and corporate bodies.

Tinjauan Kriminologis Terhadap Kejahatan Prostitusi Online Melalui Aplikasi MiChat di Wilayah Hukum Kota Jambi

The purpose of this study was to find out the factors that led to online prostitution crimes through the MiChat application and what efforts were made by the Police in dealing with online prostitution crimes through the MiChat application. The formulation of the research problem is in the form of what are the factors that cause online prostitution crimes through the MiChat application and what are the countermeasures carried out by the Police in dealing with online prostitution crimes through the MiChat application. The type of research used is empirical juridical research, namely research that uses facts that occur in the field obtained from observations and interviews. The results of this study are that the factors that cause online prostitution crimes through the MiChat application in the jurisdiction of Jambi City are economic factors, technological progress factors, environmental factors, educational factors and lifestyle factors. The results of the research regarding the countermeasures carried out by the Police in overcoming online prostitution crimes through the MiChat application in the jurisdiction of Jambi City, namely using two types of efforts in the form of preventive efforts and revressive efforts.

AMPK Regulates M1 Macrophage Polarization through the JAK2/STAT3 Signaling Pathway to Attenuate Airway Inflammation in Obesity-Related Asthma.

Abstract-Obesity-related asthma is primarily characterized by nonallergic inflammation, with pathogenesis involving oxidative stress, metabolic imbalance, and immunoinflammatory mechanisms. M1 macrophages, which predominantly secrete pro-inflammatory factors, mediate insulin resistance and systemic metabolic inflammation in obese individuals. Concurrently, adenosine monophosphate-activated protein kinase (AMPK) serves as a critical regulator of intracellular energy metabolism and is closely associated with macrophage activation. However, their specific roles and associated mechanisms in obesity-related asthma remain to be explored. In this study, we investigated the macrophage polarization status and potential interventional mechanisms through obesity-related asthmatic models and lipopolysaccharide (LPS) -treated RAW264.7 cell with a comprehensive series of evaluations, including HE, PAS and Masson staining of lung histopathology, immunohistochemical staining, immunofluorescence technology, qRT-PCR, Western Blot, and ELISA inflammatory factor analysis. The results revealed M1 macrophage polarization in obesity-related asthmatic lung tissue alongside downregulation of AMPK expression. Under LPS stimulation, exogenous AMPK activation attenuated M1 macrophage polarization via the Janus kinase 2/ signal transducer and activator of transcription 3 (JAK2/STAT3) signaling pathway. Additionally, in obesity-related asthmatic mice, AMPK activation was found to alleviate airway inflammation by regulating M1 macrophage polarization, the mechanism closely associated with the JAK2/STAT3 pathway. These findings not only advance our understanding of macrophage polarization in obesity-related asthma, but also provide new therapeutic targets for its treatment.

Comprehensive Evaluation of Regional Road Transport Safety Service Level

Ensuring road transport safety is a critical imperative for regional development and public welfare. This abstract outline a comprehensive evaluation framework designed to assess the service level of regional road transport safety. The proposed methodology integrates diverse parameters, encompassing infrastructure, technology, policy, and human factors, to provide a holistic understanding of the safety landscape. Using real-time data integration and powerful analytics, the assessment system combines quantitative and qualitative indicators. Technology aspects of infrastructure evaluations centre on the effectiveness of automated transportation systems and their influence on accident reduction; architecture evaluations also cover the layout of roads, advertising, and maintenance requirements. Policy evaluation is examining current laws and the ways in which they are enforced while considering how they affect the behaviour of drivers and public safety. The proposed method uses DCNN method for intelligent road transport safety. Using DCNN algorithms to monitor and regulate traffic congestion in smart cities represents a significant leap in the use of deep learning in traffic management.

Development and implementation of technological measures to extend the campaign of blast furnace No. 5 of PJSC Severstal

The work presents generalized experience in the development and implementation at PJSC Severstal of technological measures to extend the campaign of blast furnace No. 5. The authors carried out an analysis, identified and described the problem areas, generalized the principles for ensuring the safety of the shaft lining, boshes and metal receiver of the blast furnace. The results of a study of the working space of blast furnace No. 5 in 2006 are also presented. The identified technological factors ensure an increase in duration of the unit campaign. Technolo­gical measures are given for: washing the blast furnace hearth, reducing chemical erosion of the carbon blocks of the hearth and flange, forming a protective skull in the blast furnace shaft, special methods for loading solid coke substitutes, and organizing an effective structure of the charge column in the blast furnace. It is necessary to use digital models integrated into the blast furnace expert system for operational control of blast furnace technology. The results of the current blast furnace campaign were compared with previous ones. It was proven that the systematic use of all elements of the developed technology makes it possible to achieve high economic indicators while exceeding the standard duration of the campaign by 1.75 times. Experience in technology development made it possible to increase the furnace campaign duration to 17.46 years, achieve a reduction in specific coke consumption by 15.9 %, and increase the specific consumption of natural gas for cast iron smelting by 46.4 %; reduce the specific carbon consumption for cast iron smelting by 6.3 %.

Effect of Some Technological Factors of Extraction on Total Lentinan Content in Sapa Shiitake Mushroom Extract

In Vietnam, the source of shiitake mushroom is very abundant and grown in many provinces/cities, the total yield reaches hundreds of thousands of tons/per year, mainly serving the demand of domestic food processing, and did not develop into medicinal mushrooms yet. Among them, Sapa shiitake mushroom is being widely cultivated in Sapa-Vietnam, and is a raw material with great potential for lentinan exploitation. Until now, researches on extracting and obtaining lentinan in Vietnam are still limited. Those are reasons to carry out this research. The effects of solvent in combination with assistance of ultrasound wave in lentinan extracting capability in Sapa shiitake mushroom were studied. Before carrying out extracting of lentinan; The dried fruit bodies of Sapa shiitake mushroom was crushed in to 1mm. Five extracting parameters include concentration of Na0H solvent (%), proportion of Na0H solvent and raw material (v:w), extracting temperature, ultrasound time and ultrasound intensity were carried out. An extraction without the use of ultrasound for 180 min was control sample. Total lentinan content was obtained during the extracting process. The results indicated that shiitake mushrooms were extracted by using 0.35% Na0H solvent, the rate of Na0H solvent and mushrooms was 12:1 (v:w), intensity of ultrasound was 58 W/cm2, frequency was 20 kHz, extracting temperature was 65 °C, time of extraction was 6 min gave total lentinan content 1.63 times higher than the control.

Management of growth and development of spring barley plants based on the application of technological factors

Management of growth and development of spring barley plants based on the application of technological factors

Optimisation of some technological factors of pretreatment by pullulanase enzymatic hydrolysis combined with hydrothermal process to produce resistant starch (RS3) from rice flour ingredients

The purpose of the study was to conduct a multi-factor experiment and optimize some technological factors of pretreatment by pullulanase enzymatic hydrolysis combined with hydrothermal process to produce resistant starch (RS3) from rice flour of IR50404 paddy variety. The multi-factor experimental plan used the Box-Behnken planning model with 3 independent variables corresponding to the variation range: Pullulanase enzyme concentration (1.5-2.5%); Hydrolysis temperature (52-58oC); Hydrolysis time (8-12 hours). The objective functions include: RS3 resistant starch content (%), reducing sugar content (%), and solubility (%). The experiments were conducted under the same conditions with the parameters determined from single-factor experiments: Prepare enzymatic hydrolysis solution with rice starch/water concentration of 15% at pH 5.5; Hydrothermal mode includes 3 heat treatment/cooling cycles: Autoclaving (130oC, 60minutes) →Cooling and storage time(4oC, 18 hours). Experimental data processing and optimization used Design -Expert 7.1 software with expected function algorithm with the desire that the RS3 resistant starch content, reducing sugar content and solubility reach their maximum values, corresponding to the important coefficients of 5/5, 4/5, and 4/5. The results were the determination of the optimal enzymatic hydrolysis pretreatment regime with pullulanase enzyme concentration of 2.2%, hydrolysis temperature of 54.4oC for 10.4 hours, corresponding to RS3 resistant starch content reached 47.58±0.22%, reducing sugar content reached 14.12±0.08%, and solubility reached 68.52 ± 0.18% after hydrothermal process.

Factors impacting Indian healthcare supply chain performance and influence in the public and private sector: the mediating role of blockchain technology adoption

PurposeThis study aims to identify several perspectives that affect the adoption of blockchain technology in India (BCTA) and evaluate their impact. To study the sector’s influence on adoption and the impact of BCTA on the performance of the Indian healthcare supply chain (HSCP) using BCTA as a mediating variable.Design/methodology/approachIn this study, we first developed a conceptual model based on Organizational Information Processing Theory and Technology-Organization-Environment, then formulated hypotheses. Based on this, a questionnaire was developed, and data were gathered from experts in the Indian healthcare industry who were familiar with blockchain technology. AMOS 19 was used to analyze data using structural equation modelling.FindingsAll the factors have a significant positive influence on BCTA. Healthcare supply chain factors influenced the adoption most dominantly, followed by technological, environmental, organizational and record-keeping unit factors. Both the public and private sectors of HSCP benefited significantly from BCTA.Practical implicationsThis research work is fruitful for healthcare practitioners, top management, academicians and policymakers in assessing BCTA’s impact on the HSCP.Originality/valueWe have attempted to evaluate the possible BCTA impact on HSCP. BCTA as a mediating variable and considering different perspectives for a holistic view of adoption in the Indian context add to this work’s originality.

Crafting efficient blockchain adoption strategies under risk and uncertain environments

Risk and uncertainty are crucial factors in decision-making processes, especially when integrating emerging technologies into essential systems like supply chains. Failing to adequately consider significant risks can disrupt supply chain operations, leading to a loss of competitive edge and causing financial and reputational damage. On the other hand, the complex nature of new technology environments, differing viewpoints among stakeholders, and the challenges of interpreting data introduce a variety of uncertainties in decision-making. In this study, we conduct a thorough examination of how blockchain strategies can be applied within supply chain frameworks. Our analysis utilizes data-driven network decision-making models that are refined to effectively manage uncertainty and risk. These models take into account aspects such as supply chain dynamics and technological factors. Importantly, we meld risk considerations with our models to tackle efficiency shortfalls, while also accounting for uncertainty caused by ambiguous and stochastic data environments. By applying and assessing these models in a real-world case study of the oil and gas industry, our research uncovers insightful observations. Specifically, we find that adopting a localization strategy presents specific risks, while a single-use strategy yields significant efficiency improvements.

Prevalence and Factors Associated With Awareness of Precision Medicine Among Individuals With Depression and Anxiety.

This study investigates the prevalence and determinants of awareness of precision medicine among a nationally representative sample of individuals with self-reported depression and anxiety in the United States." Data were obtained from the Health Information National Trends Survey (HINTS) 5, Cycle 4, which is a study administered by the National Cancer Institute and is nationally representative. The survey, conducted between February and June 2020, targeted non-institutionalized, civilian US adults aged 18 years and older. Utilizing survey-weighted logistic regression, predictors of precision medicine awareness were assessed, encompassing sociodemographic, health-related, and technological factors. Among 890 individuals with self-reported depression and/or anxiety, approximately 15.3% reported awareness of precision medicine. Participants who had a higher level of education and those who had increased health-linked social media usage were three times more likely to be aware of precision medicine compared to those who did not. Old age was also positively associated with increased awareness. The present study's findings have disclosed an alarming lack of awareness of precision medicine, particularly among mentally ill persons with anxiety or depression, in which the targeted subgroups, including individuals with lower education levels and limited health-linked social media utilization, indicated lower levels of awareness. As such, it is recommended that such disparities be tackled using customized interventions along with educational initiatives, as this is likely to improve awareness levels while also ensuring equitable and increased access to precision medicine within the context of mental health.

Evaluation of Factors Affecting Women Artisans as Entrepreneurs in the Handicraft Sector: A Study on Financial, Digital Technology Factors and Developmental Strategies About ODOP in Uttar Pradesh to Boost Economy

Evaluation of Factors Affecting Women Artisans as Entrepreneurs in the Handicraft Sector: A Study on Financial, Digital Technology Factors and Developmental Strategies About ODOP in Uttar Pradesh to Boost Economy

Understanding Learner Satisfaction in Virtual Learning Environments: Serial Mediation Effects of Cognitive and Social-Emotional Factors

This study explored the relationship between technology acceptance and learning satisfaction within a virtual learning environment (VLE) with cognitive presence, cognitive engagement, social presence, and emotional engagement as mediators. A total of 237 university students participated and completed a questionnaire after studying in the Virbela VLE. The results revealed direct and indirect links between technology acceptance and virtual learning satisfaction. The mediation analysis showed the critical mediating roles of cognitive presence and emotional engagement in fostering satisfaction. There also appeared to be a sequential mediating pathway from technology acceptance to learning satisfaction through social presence and emotional engagement. Notably, cognitive engagement and social presence did not have a significant mediating effect on satisfaction. These results provide a supplementary perspective on how technological, cognitive, and emotional factors can enhance student satisfaction in VLEs. The study concludes with several implications for future research and practice of VLEs in higher education.

Technology Integration in Engineering Education: Assessing Google Classroom's Effectiveness in Communication Skills Courses

This study delves into the effectiveness of Google Classroom in enhancing academic performance among first-year engineering students in a communication skills course. Rooted in the Technological Pedagogical Content Knowledge (TPACK) model and the Diffusion of Innovations theory, the research tests two hypotheses regarding the impacts of technology use and the instructor factor on student outcomes. With a sample of 356 students, the analysis employs t-tests and regression analysis to compare performance between students using Google Classroom and traditional teaching methods. The results reveal no significant difference in performance between the two groups, suggesting that integrating Google Classroom does not inherently enhance academic outcomes. However, marginal effects of instructor involvement were observed, underscoring the intricate interplay of human and technological factors in educational settings. The implications of these findings are significant, as they provide a nuanced understanding of the role of technology in education and the importance of effective instructor engagement. Future research should examine technology's role across diverse disciplines and the dynamics of instructor-student interactions within technology-enhanced environments.

Pelatihan Olahan Produk Makanan Berbahan Dasar Jamur Dalam Rangka Penguatan dan Ketahanan Ekonomi Masyarakat Perkotaan Bagi Anggota Kelompok Tani “Elok Mekar Sari

The results of mushroom cultivation are processed by members of the "Elok Mekar Sari" Farmers Group into innovative processed products with high selling value, such as Mushroom Satay, Mushroom Sempol, Mushroom Tofu Walik, Krispi Mushrooms, Mushroom Sandwiches, Mushroom Topping Pizza and various other mushroom preparations.Some of the problems faced by the "Elok Mekar Sari" Farmers Group are lack of access to information about mushroom processing technology, availability of raw materials due to geography, economics, environment, technological and regulatory factors and demand. Apart from that, there are difficulties with available markets, public understanding of the benefits of mushrooms and the types that can be processed and consumed as an addition to a nutritious diet.Hands-on training methods and mentoring with the mushroom community in Surabaya who will teach how to grow and care for mushrooms and how to process them into various food products with high nutritional value with solutions Providing access to information and training on mushroom processing technology, increasing the availability of raw materials quality through oyster mushroom cultivation and development programs, support for promotion and marketing of mushroom products produced through the marketplace and development of communication campaigns aimed at increasing public understanding and awareness of the benefits of mushrooms and the types that can be processed and consumed