Technical Capabilities Research Articles

Based on the S–O–R theory adoption intention of blockchain technology in libraries: a two-stage analysis SEM–PLS and ANN

PurposeBlockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.Design/methodology/approachUtilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.FindingsThe research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.Originality/valueUnlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.

Финансовая платформа как способ распределения риска в кредитном договоре

In this article the author considers the possibility of using the financial platform mechanism as a new way of distributing risks between the parties to a loan agreement. As a result of the analysis of legislative and doctrinal sources, as well as the existing practice of using the financial platform, the author concludes that despite the existing shortcomings in regulation, the financial platform has the necessary technical capabilities and powers enshrined in the relevant legislation allowing it, along with traditional models, to be an effective mechanism for distributing the risks of the parties.

Community Health Centers' Responsiveness and Its Associated Factors Among Outpatients in Southeast China: A Cross-Sectional Study.

The responsiveness of community health centers can reflect the soft capacity of medical institutions and is related to the improvement of health outcome indicators. This study is aimed at assessing the level and distribution of community health centers' responsiveness and its associated factors among outpatients under the health-oriented integrated healthcare system in China. A total of 634 outpatients were recruited from six community health centers in Zhejiang Province, China, in July 2022. SPSS software was used to conduct the analysis (version 23.0). Health system responsiveness was used as a measure of outpatient responsiveness to health care services through a self-administered questionnaire. Determinants of community health centers' responsiveness were determined by using a multiple linear regression model at a p-value <0.05. The total score of community health centers responsiveness was 8.25±1.01, and the Gini coefficient is 0.027. Within these domains, social support and dignity received the highest scores, while choice of providers and autonomy scored the lowest. Age group between 60-74 years (β: 0.129; 95% CI: 0.042-0.529), ≥75 years (β: 0.095; 95% CI: 0.006-0.707), monthly income with 8000 RMB and above (β: 0.098; 95% CI: 0.035-0.653), having a family doctor (β: 0.124; 95% CI: 0.096-0.410), and satisficing with community health service (β: 0.298; 95% CI: 0.848-1.428) were significant predictors of community health centers' responsiveness. The Chinese community health centers show high responsiveness, indicating that the construction of a health-oriented integrated healthcare system has been effective. The family doctor contract service is important and should continually enhance both technical proficiency and health promotion capabilities. Encourage residents to actively participate in their treatment process is also essential.

Preparing Cadastral Map Databases for Mosul District

Investigates the development and implementation of digital cadastral map databases for Mosul District, Iraq, addressing the transition from traditional paper-based systems to modern geospatial technologies. The research explores the integration of Geographic Information Systems (GIS), remote sensing, and Global Positioning System (GPS) technologies to enhance cadastral mapping processes. Encompass data collection from diverse sources, including high-resolution satellite imagery, aerial photography, and existing cadastral maps. A comprehensive analysis of data types— vector, raster, Triangulated Irregular Network (TIN), and tabular—is conducted to establish an optimal database structure. The study delineates the technical capabilities of GIS in data processing, spatial analysis, and model preparation, emphasizing the importance of data accuracy and consistency. A systematic approach to data entry, including map scanning, georeferencing, and digitization, is presented. The research outlines the creation of a multi-layered geographic database, incorporating both spatial and descriptive data. Protocols for database updating using satellite imagery and field surveys are developed, ensuring the currency and reliability of cadastral information. The results demonstrate significant improvements in data management, spatial analysis capabilities, and information accessibility compared to traditional methods. The study concludes that digital cadastral databases offer enhanced decision-making support for land administration and urban planning in Mosul District. Contributes to the body of knowledge on modernizing cadastral systems in developing regions, providing insights into technological integration, data standardization, and the challenges associated with transitioning to digital cadastral management systems. The findings have implications for policy makers and land administrators seeking to implement similar systems in comparable urban contexts.

When own interest stands against the “greater good” – Decision randomization in ethical dilemmas of autonomous systems that involve their user’s self-interest

Autonomous systems (ASs) decide upon ethical dilemmas and their artificial intelligence as well as situational settings become more and more complex. However, to study common-sense morality concerning ASs abstracted dilemmas on autonomous vehicle (AV) accidents are a common tool. A special case of ethical dilemmas is when the AS’s users are affected. Many people want AVs to adhere to utilitarian programming (e.g., to save the larger group), or egalitarian programming (i.e., to treat every person equally). However, they want their own AV to protect them instead of the “greater good”. That people reject utilitarian programming as an AS’s user while supporting the idea from an impartial perspective has been termed the “social dilemma of AVs”. Meanwhile, preferences for another technical capability, which would implement egalitarian programming, have not been elicited for dilemmas involving self-interest: decision randomization. This paper investigates normative and descriptive preferences for a self-protective, self-sacrificial, or randomized choice by an AS in a dilemma where people are the sole passenger of an AV, and their survival stands against the survival of several others. Results suggest that randomization may mitigate the “social dilemma of AVs” by bridging between a societally accepted programming and the urge of ASs’ users for self-protection.

Assessment on the awareness and attitude about waste recycling in three Vietnamese universities in the framework of GREENUS project

Abstract GREEN waste management new edUcation System for recycling and environmental protection in Asia (GREENUS) is a project funded by the European Union to develop the technical capabilities of the younger generations in the waste management sector in Vietnam, enhancing the fundamental role of universities. As a part of the GREENUS project, this study aims to investigate the level of awareness and attitude of the Vietnamese universities about waste recycling and the impact of the project activities. Data were gathered from a questionnaire, which was distributed to three universities in Vietnam (Ho Chi Minh City University of Technology, Can Tho University, and Hanoi University of Science and Technology) for three months in 2023. Descriptive statistics and Analysis of variance (ANOVA) analysis were used to analyze the data. The results show that Professors/lecturers as well as older people have higher level of awareness and appear more inclined to engage in waste separation. In addition, females express more willingness to participate in the separate collection of waste for recycling than males. Regarding small electronic devices, the majority replace their mobile phones within three to five years due to damage, while laptops tend to have a longer lifespan, often exceeding five years. Furthermore, the majority of respondents (over 70%) find the GREENUS initiative effective in enhancing their awareness of the importance of proper waste management. They believe that the initiative is valuable since it simply explains why appropriate waste management is everyone responsibility, provides new knowledge on waste management techniques and inspires/motivates people to handle waste correctly. The study can represent a good source of references for suggesting practical policies that spread a new recycling culture, promoting the use of innovative waste collection and recycling systems in the Universities.

Case Study: Analysis of Tencent's "CIM+" Smart Transportation Construction Advantage

In the current era of digitization, networking, and intelligence, realizing the importance of transportation infrastructure alongside internet connectivity and urban development is crucial. This article focuses on Tencent's efforts in smart transportation construction, aiming to understand its unique advantages in traffic service development compared to other companies. Additionally, the study explores the practical application of CIM technology in Tencent's transportation domain, facilitating the intelligent evolution of the transportation sector. By examining Tencent's strategies, technical capabilities, and comprehensive planning, we can gain a better understanding of their competitive edge in the field of traffic service development. Overall, this research aims to comprehensively understand Tencent's smart transportation initiatives, highlighting their advantages in traffic service development, and showcasing the transformative power of CIM technology in driving intelligent transportation solutions.

플립러닝 교수법의 대학강의 적용에 대한 자문화기술지

Through autoethnography, this study conducted the process of transforming the stories of 'myself' experienced while applying the flipped learning teaching method liberal arts and food service majors at university . Through this process, I reflected on personal experience in a CLAC course and provided insight into its educational meaning and value. With this knowledge, this study focused on 'Pursuit of Flipped Learning Teaching Method', 'Performance of Flipped Learning Teaching Method', and 'Reflection on Flipped Learning Teaching Method' as an autobiographical participation timeline in the flipped learning teaching experience. In liberal arts and food service major classes , the jump learning teaching method was noted to improve battery thinking, problem solving, self-directed learning ability, resilience, capacity building, and cooperative learning. Development of an 'industry-academia-linked flipped learning teaching method' is needed to strengthen the cooperative technical skills and capabilities of food service majors, where improvement is only needed in actual field and scale. Furthermore, it is necessary to develop a flipped learning teaching model that includes strengthening basic learning skills for students who lack basic learning in liberal arts subjects.

Augmented reality and optical navigation assisted orbital surgery: a novel integrated workflow

Abstract Objectives Due to the close topographical relationship of functional relevant anatomic structures, limited space and cosmetic aspects orbital surgery will remain a challenging discipline. Therefore, novel technical capabilities are necessary for further surgical progress. We here tested the integration of augmented reality and optical navigation in one workflow for interdisciplinary decision-making, feasibility and intraoperative guidance. Methods High-resolution contrast-enhanced MRI and CT scans were automated and manual-assisted segmented to achieve a detailed three-dimensional (3D) model of the individual patho-anatomical relationships. Augmented reality was used for interdisciplinary preoperative planning and intraoperative intuitive navigation. Mayfield clamp head holder in combination with optical surface matching registration assured navigation assisted microsurgery. Results Combinations of different MRI-sequences and CT-scans were necessary for detailed 3D-modeling. Modeling was time consuming and only viable in the hands of medical, surgical and anatomical trained staff. Augmented reality assured a quick, intuitive interdisciplinary orientation. Intraoperative surface matching registration enabled precise navigation in the orbital space. Conclusions Optical Navigation and microscope integration achieved a straightforward microsurgical workflow and should be implemented regularly. Augmented reality represented a useful tool for preoperative interdisciplinary planning and intraoperative intuitive orientation. It further stated an excellent educational tool.

Research of the motion parameters of the entry of a spaceplane into the atmosphere

After the end of operation of the International Space Station in 2028, the Russian Federation plans to develop a national orbital station project. The Russian Space Station will differ from its predecessor in a greater practical aspect. One of the tasks assigned to the station will be the launch and management of a group of small satellites for remote sensing of the Earth, as well as the interaction and maintenance of prospective satellite groups. Due to the limited maneuverability of the orbital station and the potential for a malfunctioning device to be at a significant distance from it, the use of an autonomous spaceplane is proposed to increase the transportation and technical capabilities of the station. In the research, two aerodynamic designs of the spaceplane are presented, and one of them is chosen based on the results of the aerodynamic and weight analysis. The spaceplane configuration and algorithms for its operation on the orbit and descent to the atmosphere are also presented. The goal of the research is to compare the trajectory parameters during the descent of the spacecraft from different descent orbits. For this purpose, a task was formulated to determine the dependence of the area of the descent corridor on the initial parameters. The area of the descent corridor is determined by the boundary conditions, which depend on the operational parameters of the spaceplane. A computational program is written to solve differential equations of flight dynamics of a spaceplane by Euler's method in general and by Runge-Kutta method in a computational case. The results of the research are presented as the dependence of the area of the descent corridor on the altitude of descent. Graphical representations of the primary parameters of the spaceplane descent for the computational case are also presented.

Business readiness for dual transformation: an analysis of business capabilities for digital and sustainable transformation

In a dynamic business environment, the convergence of Digital Transformation and Sustainable Transformation has emerged as a comprehensive strategy for companies seeking to thrive in the modern era. For this transformation to successfully develop, the appropriate conditions must be present to carry out a process of digitisation and sustainability. Therefore, this research aimed to identify the readiness level of companies established in the city of Tijuana, Mexico, to adopt a dual transformation process. An analysis of the different digital and sustainable transformation models was carried out, and a self-diagnosis model was designed. Then, a quantitative instrument was applied to a sample of 148 small, medium and large companies in Tijuana between 2022 and mid-2023. The analysis consisted of a descriptive analysis of the data and a correlation analysis. It concludes that the elements that most explain the dual transformation are strategy, culture, organisational and technical capabilities. Likewise, the related factors are definition and communication, alignment, and scope of the objectives within the strategy; change management, knowledge and collaboration in the culture; within the organisation: leadership, processes and organisational structure; and finally in the technical capabilities data management, training and systems integration. The results of this research allowed us to identify and propose strategies to implement the dual transformation and increase the scalability and competitiveness of the adopting companies.

Thermal performance analysis of gas turbine power plant using soft computing techniques: a review

Gas turbines are pivotal in electricity generation and industry, prized for their efficiency and flexibility in meeting diverse power needs. Optimizing their thermal efficiency is essential for improving energy output and sustainability. Soft computing methods such as neural networks, genetic algorithms, and fuzzy logic offer potent tools for this optimization due to their ability to handle the turbines' nonlinear and dynamic characteristics. These techniques facilitate a deeper understanding of the intricate interplay among various parameters affecting thermal performance, thereby enabling the development of intelligent and adaptive turbine systems. By leveraging soft computing, researchers can enhance gas turbine designs to align with modern energy and environmental objectives. This review emphasizes the application of soft computing approaches in analysing and improving gas turbine thermal performance. Such advancements are instrumental in achieving higher energy efficiency, reducing greenhouse gas emissions, and promoting a sustainable energy landscape. Ultimately, integrating soft computing into gas turbine operations promises to advance both technical capabilities and environmental stewardship in the detection of a more resilient and efficient energy infrastructure.

The Effectiveness of the SP4N-LAPOR! as a National Public Service Complaint Management Application

The implementation of the National Public Service Complaint Management System-Online Aspiration and Complaints Service (or Sistem Pengelolaan Pengaduan Pelayanan Publik Nasional- Layanan Aspirasi dan Pengaduan Online a.k.a SP4N-LAPOR!) as a national public service complaint management application is still facing several problems. Ministry of State Apparatus Empowerment and Bureaucratic Reform (or Kementerian Pendayagunaan Aparatur Negara dan Reformasi Birokrasi a.k.a KemenPANRB) as a national admin of the SP4N-LAPOR! carries out monitoring and evaluation duties at the national level and forwards the reports to each government agency, thus playing an essential role in the effectiveness of SP4N-LAPOR!. This research aims to determine the effectiveness of implementing public service complaint management in the SP4N-LAPOR! by KemenPANRB in 2021. Qualitative and descriptive approaches as well as interview observation and documentation were used to collect data. The findings in the research show that the SP4N-LAPOR! has been planned and arranged according to applicable regulations. However, in practice, the implementation of SP4N-LAPOR! has not been optimal due to several factors: commitment, coordination, technical and operational capabilities, technology, and community involvement.

Analysis of factors affecting Accounting Information System Performance

Currently, Bank Majalengka is facing challenges in optimizing the performance of its accounting information system to support operational efficiency and the preparation of accurate financial reports. Technical obstacles, such as system errors or human error, often affect the performance of accounting information systems, hindering smooth transactions and reporting. This research aims to determine the influence of Education and Training Programs, User Involvement and Personal Technical Ability at Bank Majalengka. This research uses quantitative descriptive. The population in this research is employees of Bank Majalengka. The research sample was determined using a non-probability sampling technique with a purposive sampling method. Aims to obtain samples that match the research criteria. The sample used was 48 Bank Majalengka employees who used an accounting information system. The analytical method used in this research is multiple regression analysis with the help of SPSS version 26 software. The results of this research show that Education and Training Programs and Personal Technical Capabilities have a significant effect on Accounting Information System Performance. Meanwhile, user involvement does not have a significant effect on the performance of the accounting information system.

Режими роботи маніпулятора ремонтно-евакуаційної машини

With modern methods of conducting military operations, the system of technical support of the troops is of great importance. One of the ways to increase the effectiveness of the system of technical support of troops is the use of armored repair and evacuation vehicles. It is possible to increase the technical capabilities of armored repair and evacuation vehicles by modernizing existing models, or creating qualitatively new vehicles that take into account the specifics of use and characteristic combat damage of modern weapons and military equipment, the type of engine of the military vehicle, its weight and dimensions and other characteristics. Improvement and modernization of armored repair and evacuation vehicles allows to ensure their effectiveness. Armored repair and evacuation vehicles demonstrate high efficiency when carrying out operations to extract or lift damaged or stuck, blocked, bogged down, sunken military equipment. In these cases, the traction force of the armored recovery vehicle's own engine is used or its own specialized means of evacuation: crane winches, polyspatch systems, crane booms together with power hydraulic cylinders of their drive, levers, other evacuation equipment. Features of the lifting and loading equipment include such modes of operation as lifting loads from a solid surface, detaching the load from a viscous surface, dragging at different angles to the support surface, and getting stuck. The most difficult in terms of dynamic overloads of all elements of the hydraulic manipulator is the mode of partial immersion and dense sticking of the load in clay soil, when after separation from it, the load under the action of the forces of elastic deformations of the suspension flies up to the height of a significant relaxation of the suspension and reaching the upper point, where its speed is zero, falls down on an elastic suspension. At the same time, a three-fold overload of the manipulator links is observed.

Robotont 3-an accessible 3D-printable ROS-supported open-source mobile robot for education and research.

Educational robots offer a platform for training aspiring engineers and building trust in technology that is envisioned to shape how we work and live. In education, accessibility and modularity are significant in the choice of such a technological platform. In order to foster continuous development of the robots as well as to improve student engagement in the design and fabrication process, safe production methods with low accessibility barriers should be chosen. In this paper, we present Robotont 3, an open-source mobile robot that leverages Fused Deposition Modeling (FDM) 3D-printing for manufacturing the chassis and a single dedicated system board that can be ordered from online printed circuit board (PCB) assembly services. To promote accessibility, the project follows open hardware practices, such as design transparency, permissive licensing, accessibility in manufacturing methods, and comprehensive documentation. Semantic Versioning was incorporated to improve maintainability in development. Compared to the earlier versions, Robotont 3 maintains all the technical capabilities, while featuring an improved hardware setup to enhance the ease of fabrication and assembly, and modularity. The improvements increase the accessibility, scalability and flexibility of the platform in an educational setting.

A Light-Powered Single-Stranded DNA Molecular Motor with Colour-Selective Single-Step Control.

Top-down control of small motion is possible through top-down controlled molecular motors in replacement of larger actuators like MEMS or NEMS (micro- or nano-electromechanical systems) in the current precision technology. Improving top-down control of molecular motors to every single step is desirable for this purpose, and also for synchronization of motor actions for amplified effects. Here we report a designed single-stranded DNA molecular motor powered by alternated ultraviolet and visible light for processive track-walking, with the two light colours each locking the motor in a full directional step to allow saturated driving but no overstepping. This novel nano-optomechanical driving mechanism pushes the top-down control of molecular motors down to every single step, thus providing a key technical capability to advance the molecular motor-based precision technology and also motor synchronization for amplified effects.

A Light‐Powered Single‐Stranded DNA Molecular Motor with Colour‐Selective Single‐Step Control

AbstractTop‐down control of small motion is possible through top‐down controlled molecular motors in replacement of larger actuators like MEMS or NEMS (micro‐ or nano‐electromechanical systems) in the current precision technology. Improving top‐down control of molecular motors to every single step is desirable for this purpose, and also for synchronization of motor actions for amplified effects. Here we report a designed single‐stranded DNA molecular motor powered by alternated ultraviolet and visible light for processive track‐walking, with the two light colours each locking the motor in a full directional step to allow saturated driving but no overstepping. This novel nano‐optomechanical driving mechanism pushes the top‐down control of molecular motors down to every single step, thus providing a key technical capability to advance the molecular motor‐based precision technology and also motor synchronization for amplified effects.

Implementation and evaluation of a system for assessment of the quality of long-term management of patients at a geriatric hospital

BackgroundThe increasing aging population presents a significant challenge, accompanied by a shortage of professional caregivers, adding to the therapeutic burden. Clinical decision support systems, utilizing computerized clinical guidelines, can improve healthcare quality, reduce expenses, save time, and boost caregiver efficiency. Objectives1) Develop and evaluate an automated quality assessment (QA) system for retrospective longitudinal care quality analysis, focusing on clinical staff adherence to evidence-based guidelines (GLs). 2) Assess the system’s technical feasibility and functional capability for senior nurse use in geriatric pressure-ulcer management. MethodsA computational QA system using our Quality Assessment Temporal Patterns (QATP) methodology was designed and implemented. Our methodology transforms the GL’s procedural-knowledge into declarative-knowledge temporal-abstraction patterns representing the expected execution trace in the patient’s data for correct therapy application. Fuzzy temporal logic allows for partial compliance, reflecting individual and grouped action performance considering their values and temporal aspects. The system was tested using a pressure ulcer treatment GL and data from 100 geriatric patients’ Electronic Medical Records (EMR). After technical evaluation for accuracy and feasibility, an extensive functional evaluation was conducted by an experienced nurse, comparing QA scores with and without system support, and versus automated system scores. Time efficiency was also measured. ResultsQA scores from the geriatric nurse, with and without system’s support, did not significantly differ from those provided by the automated system (p < 0.05), demonstrating the effectiveness and reliability of both manual and automated methods. The system-supported manual QA process reduced scoring time by approximately two-thirds, from an average of 17.3 min per patient manually to about 5.9 min with the system’s assistance, highlighting the system’s efficiency potential in clinical practice. ConclusionThe QA system based on QATP, produces scores consistent with an experienced nurse’s assessment for complex care over extended periods. It enables quick and accurate quality care evaluation for multiple patients after brief training. Such automated QA systems may empower nursing staff, enabling them to manage more patients, accurately and consistently, while reducing costs due to saved time and effort, and enhanced compliance with evidence-based guidelines.

Experience in the development and use of simulators for professional training of specialists in the electric power industry

Issues of development of simulators for training and testing of electrical engineers and students of electrical engineering specialties were considered. They are based on modern knowledge in the field of electricity. The main characteristics of simulators and requirements for their computer support are given. The developments implement a new method of practical training and testing of electrical engineers and can be used at all stages of electrical engineer training. The considered simulators are based on a combination of practical and theoretical knowledge of the electric power industry. The purpose of the developments is to activate and increase the efficiency of the educational process due to the introduction of new learning technologies. The technical capabilities of the software implement both individual and team work of students and electric power personnel. It was noted that in recent years, two professional simulators, implemented in the form of two laboratory workshops, have been developed and implemented in the educational process at the department of electrical energy transmission of National technical university “Kharkiv polytechnic institute”. The first helps students study the main provisions of the Normative Documentation in the power industry, the second – the rules and sequence of operational switching in electrical networks. In addition, experts determine the high efficiency of training systems based on precedent-analytical models. The exercise program according to the plan-do-check-act cycle is considered. Its basis is the well-known concept of continuous quality improvement “Plan-Do-Check-Act” (Deming's cycle). For the electric power industry, a plan-do-check-act cycle approach can consist of cyclical planning of activities, implementation of planned actions, verification of results obtained and correction of non-conformance to expectations. The precedent-scenario method of constructing a training system based on the software platform of the training system based on the plan-do-check-act scenario is presented in detail.