Technology Support Research Articles

Information Technology Support and Accounting Digitalization on Business Development Potential with Knowledge Management as an Intervening Variable in Micro, Small and Medium Enterprises in Deli Serdang Regency

There are still relatively many MSMEs in the Deli Serdang district area that have not used technology as a medium to assist in increasing their business where in this day and age technology plays a very important role in increasing sales to the international scope. The Deli Serdang district government, which cares about increasing MSMEs, makes socialization for business actors within the Cooperative and SMEs Office to be given training in the use of business digitalization in order to provide an understanding that digitalization is the right way in this day and age to manage businesses both in production, marketing, finance and management. This research will be conducted in the Deli Serdang district with a population of MSMEs that already have NIB of 570 businesses with a sampling method using the Slovin formula with an error rate of 5%, so that a research sample of 235 can be found. Directly the information technology support variable has a significant effect on kenowlodge management. Directly the information technology support variable has a significant effect on the business development potential of the business, directly the accounting digitalization variable has a significant effect on kenowlodge management, directly the accounting digitalization variable has a significant effect on business development potential, directly the knowledge management variable has a significant effect on business development potential, indirectly the Knowledge Management variable has a significant role in mediating Information Technology support on Business Development Potential, indirectly knowledge management does not have a significant role in mediating accounting digitalization support on Business Development Potential

Integrating telemedicine in European healthcare settings: Key enablers for healthcare professionals

Abstract Background Conducted as part of WP4 (Sustainability) of the eCAN Joint Action (JA), we aimed to understand the facilitating factors for the use of telemedicine services in healthcare organisations (HCOs) involved in cancer care, such as comprehensive cancer centres and hospitals. eCAN JA runs pilot studies in 18 HCOs across 10 EU Member States (MS) to test the integration of telemedicine into the daily practice of healthcare professionals. Methods Based on a literature review, we identified 26 facilitators to implement telemedicine services at the organisational level; these were integrated to an online survey and sent to healthcare professionals working in cancer care. Next, they were invited to a foresight workshop to complement the quantitative survey data with qualitative insights. Results 24 healthcare professionals across 12 EU MS, predominantly from the pilot sites of the eCAN JA, responded to the survey. They advocate for trainings on telemedicine, emphasising the importance of user-friendly and interoperable platforms, alongside sufficient technological support, time, and financial resources to effectively implement telemedicine in HCOs. Trial periods for both healthcare professionals and patients should offer first-hand experience, while harmonising telemedicine protocols ensure consistency. In addition, promoting digital literacy among physicians and providing IT education from an early age could facilitate adoption. These strategies, coupled with awareness campaigns and infrastructure investments in HCOs, can pave the way for telemedicine adoption. Conclusions Based on the quantitative and qualitative outcomes, it can be concluded that policies should establish telemedicine training for healthcare professionals, support interoperability and user-friendliness of these services in HCOs. They should also address hospital workload challenges, create harmonised protocols, provide incentives, and invest in digital infrastructure in HCOs for telemedicine adoption. Key messages • Telemedicine implementation in HCOs requires equipping healthcare professionals with the necessary skills, ensuring system compatibility, and addressing resource constraints in HCOs for success. • Financial and infrastructural support to HCOs is crucial for the seamless integration of telemedicine services into the daily workflows of healthcare professionals, enhancing health service delivery.

AI-Enhanced Allergy Diagnostics: Streamlining Healthcare and Reducing Costs

Abstract Issue/Problem WHO projects a shortfall of 10 million health workers by 2030. One area particularly lacking technological support is allergy diagnostics. The World Allergy Organization recognizes skin tests as the gold standard for allergy diagnostics, yet these tests are still manually assessed. General practitioners lack the time and tools, leading them to focus on treating the symptoms without addressing the causes. Description of the problem Symptomatic treatment of allergy can lead to the development of asthma in 30-40% of patients, increasing healthcare costs and causing lost productivity. The shortage of allergists further exacerbates this issue in many countries. Results Research conducted by the Military Institute of Medicine in Warsaw, in collaboration with a company producing automated allergy testing systems, explored a solution for allergy diagnostics, analyzing the entire process from the patient’s initial visit to desensitization therapy. The solution uses AI algorithms to reusable existing patient data and analyze patient history, correlate symptoms, medications, and allergen exposure, streamlining diagnostics and treatment. Patients at high risk undergo a computer-assisted interview to determine allergen panels. The only manual step is applying allergens to the skin, after which AI performs the reading and diagnosis. Clinical trials involving around 300 patients demonstrated high sensitivity and specificity, along with significant time savings for allergists and other medical staff, averaging 40 minutes per patient. The HTA evidence base will be ready by the end of this year. Lessons The integration of this AI-supported diagnostic method can eliminate bottlenecks in allergy diagnostics, improving health outcomes and reducing healthcare costs. However, its effectiveness depends on having at least few years of patient treatment data available. Without access to patient data, the method can be used in part to objectify PRICK test readings. Key messages • AI-supported diagnostics streamline allergy testing, reducing time and costs in the healthcare system. • The most accurate technique currently available for the automated reading of test results is that which evaluates the response to an allergen in the dermis in two spectra.

UAV-Based Multispectral Winter Wheat Growth Monitoring with Adaptive Weight Allocation

Comprehensive growth index (CGI) more accurately reflects crop growth conditions than single indicators, which is crucial for precision irrigation, fertilization, and yield prediction. However, many current studies overlook the relationships between different growth parameters and their varying contributions to yield, leading to overlapping information and lower accuracy in monitoring crop growth. Therefore, this study focuses on winter wheat and constructs a comprehensive growth monitoring index (CGIac), based on adaptive weight allocation of growth parameters’ contribution to yield, using data such as leaf area index (LAI), soil plant analysis development (SPAD) values, plant height (PH), biomass (BM), and plant water content (PWC). Using UAV data on vegetation indices, feature selection was performed using the Elastic Net. The growth inversion model was then constructed using machine learning methods, including linear regression (LR), random forest (RF), gradient boosting (GB), and support vector regression (SVR). Based on the optimal growth inversion model for winter wheat, spatial distribution of wheat growth in the study area is obtained. The findings demonstrated that CGIac outperforms CGIav (constructed using equal weighting) and CGIcv (built using the coefficient of variation) in yield correlation and prediction accuracy. Specifically, the yield correlation of CGIac improved by up to 0.76 compared to individual indices, while yield prediction accuracy increased by up to 23.14%. Among the evaluated models, the RF model achieved the best performance, with a coefficient of determination (R2) of 0.895 and a root mean square error (RMSE) of 0.0058. A comparison with wheat orthophotos from the same period confirmed that the inversion results were highly consistent with actual growth conditions in the study area. The proposed method significantly improved the accuracy and applicability of winter wheat growth monitoring, overcoming the limitations of single parameters in growth prediction. Additionally, it provided new technological support and innovative solutions for regional crop monitoring and precision farming operations.

Synergizing Systems Thinking and Technology-Enhanced Learning for Sustainable Education Using the Flow Theory Framework

In an era where digital technologies are integral to daily life and sustainable education is increasingly critical, developing higher-order thinking skills with appropriate information and communication technology (ICT) support is crucial for achieving Sustainable Development Goals (SDGs). The purpose of this study was to examine synergies of systems thinking and technology-enhanced learning from the perspective of flow theory within the context of sustainable education. We surveyed more than 65 pre-service preschool teachers engaged in a design, technology, and engineering (DTE) course at the University of Ljubljana. Mapping of systems thinking revealed that pre-service preschool teachers needed support regarding feedback and understanding the interrelationship dimension of systems thinking—essential components of sustainable education. Predictive and mediation analyses yielded noteworthy results. Participants in the ICT-enhanced DTE course rated their cognitive and social engagement above the mid-point of the scale, with this higher engagement correlating with higher systems thinking crucial for sustainable education. In contrast, their aesthetic engagement was below the mid-point of the scale. Experiencing a flow state during ICT activities positively influenced systems thinking, particularly in terms of clear goals and autotelic experiences. Flow theory thus emerges as a solid and appropriate framework to use for studying synergies in technology-enhanced systems thinking for sustainable education. These findings underscore the importance of integrating systems thinking into curricula to enhance learning outcomes and prepare students for future challenges, thereby contributing to the achievement of SDGs through sustainable education.

Prototype to mitigate risks for the closure of a company with the support of Information Technologies

The problems of business closures (SMEs) are constant in the world and in Ecuador due to the lack of application of appropriate management models that allow the conversion of strategies. The deductive method was used for exploratory research of the information related to the research topic. The objective is to design a prototype to mitigate risks and prevent threats to avoid the closure of this type of companies. The result was a conceptual model to minimize risks, a risk control prototype, a prototype flow chart, a simulation of processes with five scenarios, determination of the formula to detect the probability of closure as an SME and risk analysis and evaluation. It was concluded that the proposed prototype to detect threats and vulnerabilities provides an optimal security model for small and medium-sized companies; as a result of the simulations, a security percentage of 77.92% was established, which means that the greater the number of risks and threats, the greater the probability that a small and medium-sized company will close.

Enhancing PET degradation efficiency through fusing carbohydrate-binding modules in LCC-ICCG

Polyethylene terephthalate (PET) is a largely-produced polymer worldwide. However, its extensive waste generation and resistance to degradation pose significant environmental concerns. Consequently, there is considerable interest in researching enzymatic degradation of PET. Relevant studies have shown that the addition of a carbohydrate binding module (CBM) can increase the affinity between the enzyme and the substrate, enhancing the enzyme's degradation ability. In order to develop more efficient PET hydrolytic enzymes, this study introduced carbohydrate binding domains (CBMs) from different families with different substrate affinities into the PET-degrading enzyme LCC-ICCG. High crystallinity PET powder and amorphous PET film were used as substrates to characterize the degradation efficiency of the modified enzymes, aiming to explore the enzyme with the optimal degradation ability. The results showed that the fusion of type B CBM reduced the degradation rate and Tm value of the enzyme towards PET, while the introduction of type A and type C CBMs significantly improved the degradation rate of the enzyme towards the film-like substrate. The degradation rate and Tm value of PET were also enhanced, especially with the fusion enzyme LCC-ICCG-CBM9-2, which showed an over 10-fold increase in the degradation rate compared to the original enzyme LCC-ICCG. Therefore, this study demonstrates that by introducing type A and type C CBMs, the degradation rate and thermal stability of LCC-ICCG towards film-like PET can be improved, addressing the issue of its low activity and enabling more effective PET degradation. This research provides support for plastic degradation technology and contributes to environmental conservation efforts.

Academic Digest of the Center for Legal Support of Bioeconomics and Genetic Technologies of Kutafin Moscow State Law University (MSAL)

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Analysis of the Potential Carbon Emission Reduction Through Interaction Between New Energy Vehicles and Smart Grids

Abstract: This paper analyzes the potential for carbon emission reduction through the interaction between new energy vehicles and smart grids, discussing how the optimization of energy efficiency and balancing of grid loads can be achieved through Vehicle-to-Grid (V2G) technology. The interaction between new energy vehicles and smart grids can enhance energy utilization efficiency, optimize grid management, and reduce reliance on fossil fuels by leveraging renewable energy sources, thereby achieving the goal of carbon emission reduction. However, this process faces multiple challenges including technological integration, cost-effectiveness, policy support, and societal acceptance. The paper proposes a series of strategic recommendations, including promoting technological standardization, enhancing policy and economic incentives, and increasing public awareness and participation, to support the effective interaction between new energy vehicles and smart grids, and to achieve long-term carbon emission reduction goals.

The role of learning activities and social presence in synchronous hybrid classrooms: results from a natural experiment

ABSTRACT The synchronous hybrid classroom (SHC) combines on-site and remote learners simultaneously. This study aims to investigate how participation mode (on-site vs. remote) affects students’ perceived learning in a SHC, examining social presence as a mediator. A second aim explores how different learning activity types along the ICAP framework influence students’ perceived learning across both groups, again considering social presence as a potential mediator. A natural experiment was conducted with 241 vocational secondary school students regularly participating in a SHC, either on-site (n = 136) or remotely (n = 105). Results showed that participation mode influenced students’ perceived learning indirectly through social presence. Remote participants perceived their social presence as lower and learning less effective than on-site participants. Interactive learning activities were most frequently used in this SHC implementation. The mediating effect of social presence was particularly strong for active/interactive activities on-site and passive/interactive ones remotely. This study contributes to theory by unravelling the complex interplay of the pedagogical design of a SHC and students’ learning experiences, highlighting the critical role of fostering social presence to optimise learning outcomes in SHC. Furthermore, it underscores the practical necessity for robust technological infrastructure and professional development support for teachers to enhance the efficacy of SHC settings.

Atmospheric Neutron Single Event Effects Research of Multiple Convolutional Neural Networks based on 28 nm and 16 nm SoC

Abstract The single event effects (SEEs) evaluations caused by atmospheric neutrons were conducted on three different convolutional neural network (CNN) models (Yolov3, MNIST, and ResNet50) in the atmospheric neutron irradiation spectrometer (ANIS) at the China Spallation Neutron Source (CSNS). The Yolov3 and MNIST models were implemented on the XILINX 28 nm system-on-chip (SoC). Meanwhile, the Yolov3 and ResNet50 models were deployed on the XILINX 16 nm FinFET UltraScale+ MPSoC. The atmospheric neutron SEEs on the tested CNN systems were comprehensively evaluated from six aspects, including chip type, network architecture, deployment methods, inference time, datasets, and the position of the anchor boxes. The various types of SEE soft errors, SEE cross-sections, and their distribution were analyzed to explore the radiation sensitivities and rules of 28 nm and 16 nm SoC. The current research can provide the technology support of radiation-resistant design of CNN system for developing and applying high-reliability, long-lifespan domestic artificial intelligence chips.

Rethinking Shared Decision-Making: Delivery of Care Options in a Telehealth World.

Telehealth modalities have given patients options for delivery of care, and in some cases increased access to care. However, great effort needs to be made by providers and clinic staff to ensure patients are given choice in their delivery of care methods and technological support to work toward equity in care. We propose applying the BEACH model for shared decision-making to help providers support patients in choosing the best care delivery method, while also encouraging providers to seek further education on telehealth competencies. Lastly, we stress the importance of the clinical staff in ensuring patient autonomy, education, and support when choosing telehealth modalities of care.

Public support for a safe system approach to reducing motor vehicle crash deaths in the United States

Conventional road safety strategies are yielding diminishing returns. The Safe System approach is based on the premise that human errors will occur on the roadway and that the system should be designed to accommodate these errors, so they do not result in death or serious injury. Elements of the system include the roadway infrastructure, vehicle engineering, and speed management.Political support for U.S. Safe System implementation gained momentum with $5 billion in appropriated funds in the 2021 Bipartisan Infrastructure Law. The purpose of this study was to measure public support for Safe System implementation. We fielded a nationally representative survey of US adults from May 4 to June 10, 2022 (N = 2274). We measured whether respondents considered individual- or systems-oriented approaches as the most effective way to prevent traffic deaths. We also assessed support for various roadway interventions and vehicle safety technologies. Most respondents agreed that system-level changes were the most effective way to prevent traffic deaths. Endorsement for system-level changes was significantly higher among younger age groups. Support for roadway improvements and vehicle safety technologies varied according to the type of intervention that was proposed. Public support for a Safe System approach is high, particularly among younger adults, which suggests that the momentum for the movement can be sustained over the long term.

To Emerge or Not to Emerge? A Qualitative Inquiry on Basic Needs of Emerging Adults During the COVID-19 Pandemic

Purpose: This study explores the experiences of Turkish emerging adults during the early months of the COVID-19 pandemic as regards their needs. Design/Methodology/Approach: In this context, 20 participants (10 males and 10 females) were recruited (March to April, 2020) using purposive snowball sampling in a phenomenological design. Data were collected via semi-structured online interviews and analyzed using interpretative phenomenological analysis. Findings: We have explored several of the needs experienced by the participants (self-allocation, relational, physiological, career and physical). We also discovered some barriers (relational, physiological, educational, environmental, personal and financial) and facilitators (social support, technological support, physical facilities, educational support and personal traits) to address their needs. We finally asked what they do in order to fulfill their needs (behaviors for building relationships, behaviors for self-allocation, behaviors for career development, behaviors for physical health) Highlights: In light of the findings, It is important to design intervention studies regarding mental health problems that may arise due to emerging adults not being able to meet their needs during the Covid-19 period. In addition, it is recommended that steps be taken in line with the needs of emerging adults by taking into account the findings of this study in the face of possible situations that may be encountered similar to the Covid-19 period.

Exploring the Role of Business Incubators to Sustainable Startups: A Systematic Literature Review

Business incubators play a crucial role in fostering the sustainability and growth of early-stage startups. They provide access, financial support, training, infrastructure, connections with investors, and more. However, many business incubators do not effectively maximize startup potential. This study aims to systematically review and analyze the key characteristics contributing to the role of business incubators in promoting sustainable startups. The study will follow the PRISMA statement (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and employ document analysis integrating multiple research designs, based on established standards. It will compile and analyze 68 articles from global sources, utilizing open-access articles and accessing primary databases such as Web of Science (WoS) and Scopus for article retrieval. Through content analysis, this study identified fifteen main categories that significantly impact startup businesses: (1) financial support, (2) business support and services, (3) networking support, (4) mentoring activities, (5) infrastructure, (6) human capital, (7) access to knowledge and information, (8) social values and environment, (9) marketing capabilities and support, (10) technology support, (11) entrepreneurship education (courses and curriculum), (12) programs, projects, and events, (13) research and development support, (14) government policy support, and (15) legitimacy involvement. The findings highlight five main aspects—financial, business, networking, mentoring, and infrastructure—as crucial for effective startup support and implementation. From an economic sociology perspective, these articles discuss the dynamic roles of business incubators, emphasizing urgent factors and essential designs for success in the face of future challenges.

Microsoft applications of 6G in V2X

Abstract. With the rapid advancement of intelligent transportation systems and autonomous driving technologies, 6G networks, as a key technology for future communications, are set to bring trans-formative changes to V2X (Vehicle-to-Everything) communication. This paper explores the application prospects of 6G in V2X, with a focus on the critical technological support 6G provides to vehicular networks. The high transmission rates and ultra-low latency of 6G will significantly enhance real-time interactions between vehicles and between vehicles and infrastructure, improving traffic safety and efficiency. Additionally, 6G's broad connectivity and flexible network architecture will support a greater number of simultaneous device connections, facilitating the widespread adoption of intelligent transportation systems. However, 6G faces challenges in V2X applications, including security issues, privacy protection, and internet power supply concerns. The paper analyzes these challenges, proposes corresponding solutions, and envisions the future development of 6G technology in the V2X domain.

Study on Surrounding Rock Control of Withdrawal Space in Fully Mechanized Caving Mining of a 19 m Extra-Thick Coal Seam

The section span of the withdrawal space of fully mechanized top coal caving in an extra-thick coal seam is large, and with the gradual withdrawal of the hydraulic support, a series of strong dynamic pressure disasters occur in the withdrawal space, and the difficulty of surrounding rock support control increases sharply. In order to study the control mechanism of surrounding rock in the final mining withdrawal space in detail and put forward a reasonable support technology scheme, taking the large-section withdrawal space of an 8309 fully mechanized caving face in an extra-thick coal seam of a mine as the research object—through the theoretical investigation of whether the key blocks of the main roof are stably hinged under varied stopping coal caving distances and fracture locations of the main roof—the reasonable and optimal stopping coal caving distances and roadway formation time are determined. Using numerical simulation and similar simulation methods, the vertical stress and the maximum shear stress research indicators were introduced to verify the accuracy of the theoretical analysis results. The results show the following: (1) The reasonable stopping coal caving span is 1~2 times the cycle weighting interval, the best stopping coal caving distance in this geological condition is 30 m, and the best fracture position of the main roof is located above the goaf. (2) The migration of overlying strata in the withdrawal space has obvious zoning characteristics, and the zoning is as follows: a stopping coal caving area, support area of the hydraulic support, withdrawal channel area, and stopping coal pillar area. (3) According to the zoning characteristics of overlying strata movement, the asymmetric zoning support control scheme of the withdrawal space is proposed. The field monitoring results show that the maximum roof subsidence in the withdrawal space is 151 mm, the maximum internal squeezing amount of the stopping coal pillar is 82 mm, and the supporting and anchoring effect of each partition in the withdrawal space is good. The set of partition asymmetric support control schemes has been successfully applied to field practice.

An Introduction to the Development and Protection of Tourism Resources in China

Introduction: Tourism resources provide great potential for tourism development, but at the same time, they also face problems such as over-exploitation and environmental damage, so it is crucial to achieve a balance between development and conservation. This study explores the development and protection of tourism resources in China. Background: Since the reform and opening up of China more than 30 years ago, China's tourism industry has rapidly developed into one of the important pillar industries of the national economy. At the same time, the destruction of tourism resources has also become more and more prominent, therefore, we must correctly deal with the relationship between the development and protection of tourism resources, to ensure the economic benefits while achieving the sustainable development of tourism resources. Novelty: Many studies in China currently focus on either tourism development or conservation, but this study endeavours to consider the relationship between the two in an integrated manner, providing a comprehensive approach to effectively develop and conserve China's rich tourism resources, while at the same time obtaining economic benefits. Research Methods: This study adopts the methods of literature review and qualitative analysis to review the research results on the development and protection of China's tourism resources by collecting relevant literature and summarising and analysing the ideas in the literature to conclude the development and protection of China's tourism resources. Finally, corresponding management suggestions and policy measures are proposed based on the conclusions. Results:To promote the sustainable use and protection of tourism resources, and to ensure the long-term stability and sustainability of the resources Conclusions: To solve this problem, this study puts forward the following suggestions: (1) to formulate strict laws and regulations; (2) to raise the overall awareness of environmental protection; (3) to promote the corresponding scientific research and technological support; (4) to strengthen tourism planning and management. (5) Establishment of funds for the protection of tourism resources; (6) Strengthening of cooperation and exchanges.

Patient-Centered Healthare as Part of Medical Corporate Culture

Patient-centered medicine is a relatively new model for planning, implementing, and evaluating healthcare services. It is based on mutually beneficial partnerships between healthcare providers, patients, and their families. However, the existing models of patient-centered healthcare have a number of disadvantages. The article introduces patient-centered healthcare as part of corporate culture adopted by various medical organizations. The authors developed a component model for the empirical study of patient-centered healthcare in terms of corporate culture. It involved five components, i.e., corporate culture, attitude to patient, attitude to work / professional image, adherence to ethical principles, and motivation. The model was tested using assessment methods developed by the authors, as well as using the Questionnaire of Professional Motivation by K. Zamfir as modified by A. A. Rean and the Mouton-Blake Corporate Culture Test. The sample involved 267 medical employees of urban medical organizations, Primorye Region. The respondents demonstrated a general understanding of patient-centered approach, which they interpreted as communication skills with patients. The dominant culture was that of task, which allowed medical staff to achieve their goals through collective decisions and mutual assistance. However, this mutual assistance was mandated to them due to the lack of personnel. The model demonstrated a good potential for yielding psychological and organizational technologies for training, support, and correction of patient-centered issues in medical organizations.

A three-pronged new development model for overcoming the middle-technology trap in China

This article addresses a critical issue facing developing countries: overcoming the “middle-technology trap” to achieve sustainable economic growth. It posits that transitioning to an innovation-driven economic growth model is pivotal for surmounting this trap and is an essential prerequisite for high-quality development. This study introduces a strategic approach through a new development model, emphasizing the synergy among three core systems: basic scientific research, applied technology, and financial support. This “three-pronged” collaboration model is argued to foster sustainable innovation-driven growth, essential for leaping over the “middle-income trap” towards high-quality development. By analyzing the historical trajectories of the Soviet Union and the United States, the article delineates the critical role of the proposed model in fostering an innovation economy. The Soviet Union’s failure and the United States’ success are examined through the lens of their respective approaches to integrating basic scientific research, applied technology, and financial systems. The analysis underscores the necessity of a balanced and interactive relationship among these systems for technological innovation, industrial development, and sustainable economic growth. The article concludes that for China to overcome the “middle-technology trap” and achieve long-term prosperity, it should embrace this “three-pronged” new development model, ensuring continuous scientific exploration, technological innovation, and productivity enhancement.