Real-time Information Exchange Research Articles

WhatsApp: A Blessing or Bane for Communication between Emergency Physicians and Vascular Surgeons?

Abstract The integration of WhatsApp (WhatsApp Inc., Mountain View, CA, USA) into the health-care sector is transforming the dynamics of medical communication. Launched in 2009 and incorporated into the Facebook suite of companies in 2014, WhatsApp has become a pivotal platform for health-care professionals. It allows for quick, personal, and group messaging, which is increasingly used to exchange patient information, discuss cases, and make timely decisions. The app’s end-to-end encryption is critical for maintaining patient confidentiality, ensuring that sensitive data are only accessible to the intended recipients. This security feature and the group sharing format enable health-care teams to communicate confidentially and efficiently, bolstering the oversight capabilities of attending senior consultants or physicians over their junior peers. The real-time exchange of information is crucial in providing continuous supervision and facilitating immediate feedback, which is indispensable in clinical training and patient care. However, the widespread adoption of WhatsApp also comes with challenges and potential drawbacks, which have been the focus of past research. These studies assessed the impact of WhatsApp on health-care delivery, considering both the enhancement of communication it offers and the issues it may present, such as data security beyond encryption and the blurring of professional and personal boundaries. In this “medical opinion” from an academic tertiary care center in Muscat, we explored how emergency medicine physicians can effectively use WhatsApp to expedite or bypass referral processes for emergency cases, particularly those involving vascular and other surgical emergencies.

Leveraging the use of a social media app as a collaborative medical information and knowledge sharing tool—insights from experiential use and survey of a CME WhatsApp community

Background and aimContinuing Medical Education (CME) is crucial for physicians to stay current in the rapidly advancing field of medicine. A WhatsApp (WA) based community of physicians was initiated in 2016 ‘WhatsApp CME India Group’ to facilitate learning, knowledge sharing, and discussion among physicians. Due to participant size constraints of the technology, it evolved into seven distinct WA groups, overseen by a central administrator. A survey undertaken in the group’s 7th year aimed to evaluate its effectiveness in achieving its goals, measure participant engagement, and uncover the primary factors driving its usage.MethodsThe survey questionnaire was distributed to 3500 members across the 07 WhatsApp CME groups for voluntary participation. Data collected was analysed using SPSS version 24.0 (SPSS Inc., Chicago, IL, USA) and reported using descriptive statistics.ResultsAmong the 581 survey respondents, the study found 43% of physicians use the WhatsApp academic groups for CME content, with 32% accessing their group over four times daily. The primary motivation for 77% was to discuss challenging cases and to gain knowledge updates from fellow physician (70%). Medical websites (57%), referral books (49%), and Google (43%) were other significant resources. Every participant (100%) found the WhatsApp CME India group the most beneficial resource for daily medical science updates. A significant portion (57%) of the respondents found the group valuable for real-time information exchange. Over 78% stated it kept them current with knowledge and guidelines. Notably, 94% viewed WhatsApp CME as complementary to physical conferences, not a replacement. The post-conference/webinar summaries were appreciated by 81% participants. Case discussions (31%) and update posts from fellow physicians sharing their insights and learnings (24%) were noted as activities of great academic interest.ConclusionThis study underscores the potential of digital platforms like WhatsApp in supplementing CME in India and potentially other comparable settings. The blend of digital and traditional resources suggests a balanced learning approach. While real-time engagement is a strength, challenges like information overload and privacy concerns require careful management. Striking a balance is crucial for ensuring content quality, structured discussions and privacy. As the digital age advances, professionals must critically assess shared information on these platforms to guarantee evidence-based and reliable knowledge dissemination.Trial registrationARK 001.

Street landscape environment design based on visual technology and entertainment robots: Computer simulation gamification landscape design

In recent years, with the development of social economy and the innovation of science and technology, the street landscape environment design based on visual technology and entertainment robot has been widely concerned. This paper aims to explore how to use computer simulation and gamification design methods to enhance the entertainment and attractiveness of street landscapes. In this paper, the basic principles of computer vision and V2X vehicle networking are deeply studied, and a series of simulation experiments and data analysis are carried out in combination with actual scenarios to verify the feasibility and effectiveness of V2X vehicle networking mode based on computer vision in urban street landscape design. V2X vehicle networking mode through real-time information exchange with road infrastructure, other vehicles, pedestrians, etc., can obtain a large number of urban streetscape design related data. Studies have shown that this design approach can increase people’s interest and engagement in street landscapes, and increase the entertainment experience and sense of interaction of urban residents.

The Importance of Networks and Relationships: Leveraging the Biocontainment Unit Leadership Workgroup for Special Pathogen Outbreak Response.

Developing and sustaining relationships and networks before an emergency occurs is crucial. The Biocontainment Unit Leadership Workgroup is a consortium of the 13 Regional Emerging Special Pathogen Treatment Centers in the United States. Established in 2017, the volunteer-based workgroup is composed of operational leaders dedicated to maintaining readiness for special pathogen care. Monthly meetings focus on addressing operational challenges, sharing best practices, and brainstorming solutions to common problems. Task forces are leveraged to tackle more complex issues that are identified as priorities. In 2022, members of the workgroup were harnessed for response efforts related to mpox, Sudan ebolavirus, and Marburg virus disease. The weekly Outbreak Readiness call is a shared effort between the Biocontainment Unit Leadership Workgroup and the Special Pathogens Research Network of the National Emerging Special Pathogens Training and Education Center. Call participants included leaders of the Regional Emerging Special Pathogen Treatment Centers and federal partners who shared weekly updates on operational readiness of units, case counts, laboratory capacity, available medical countermeasures, and other pertinent information. The routine exchange of real-time information enabled learning and collegial sharing of experiences, highlighted the experience of the network to federal partners, and provided situational awareness of special pathogen outbreaks across the country. The consortium enabled this rapid convening of partners to meet an urgent need for special pathogen response. The weekly Outbreak Readiness call is a communication model and scalable framework that serves both domestic preparedness efforts and international efforts should the need for a collaborative global response arise. In this case study, we describe the framework and experience of this partnership, along with the structure of rapid deployment for group convening.

Process of Acquisition to Destination – A Bang on Economic Prudence with Reference to Indian Logistics Industry

The study explores the significance of the logistics industry in the Indian economy and examines its sector-wise impact on economic well-being. It emphasizes how the presence or absence of transport infrastructure significantly influences economic growth and global competitiveness. With globalization expanding its scope, the study addresses the challenges of global logistics, such as trade laws, cultural differences, and the necessity for efficient cross-border transportation networks. Moreover, the research delves into factors driving the growth of the Indian logistics industry. Innovations and developments are seen as pivotal to economic progress, with intelligent logistics and smart transportation playing crucial roles. The Logistics Performance Index (LPI), a benchmarking tool by the World Bank, ranks countries based on logistics performance. In the 2023 report, India achieved an LPI rating of 3.4, securing the 38th position among 139 countries. The study substantiates the factors fueling the logistics industry with statistical evidence, highlighting technological advancements and the integration of IoT-enabled facilities as key drivers. Furthermore, the study discusses strategic initiatives aimed at enhancing India's logistics infrastructure. The PM Gati Shakti initiative seeks to streamline infrastructure development by promoting integrated planning and coordinated implementation across government departments. Concurrently, the National Logistics Policy (NLP) provides a comprehensive framework for the industry's development. Additionally, the Unified Logistics Interface Platform (ULIP) facilitates real-time information exchange among stakeholders, thereby simplifying logistics planning.

MUSCAT: Distributed multi-agent Q-learning-based minimum span channel allocation technique for UAV-enabled wireless networks

We consider a minimum span channel allocation problem (MS-CAP) to overcome spectrum scarcity and facilitate the efficiency of unmanned aerial vehicle (UAV)-enabled wireless networks. Basically, the MS-CAP minimizes the difference between the maximum and minimum used frequency, i.e., the required total bandwidth, while guaranteeing the quality-of-service (QoS) requirements for each wireless link in the network. The conventional optimal minimum span channel allocation (MS-CA) scheme is based on a centralized approach, assuming that global network information is available at the central controller. In practice, however, this may not be feasible for dynamic environments like UAV-enabled wireless networks since the real-time exchange of network information and channel allocation results with dynamically moving UAVs is formidable. Hence, we propose a novel practical MS-CA algorithm based on distributed multi-agent reinforcement learning (MARL), where each agent independently learns its best strategy with its local observations. To the best of our knowledge, the proposed technique is the first work of designing a distributed MARL for the MS-CAP for multi-UAV-enabled wireless networks in the literature. Numerical results reveal that the proposed distributed MS-CA technique can efficiently save the required total bandwidth while ensuring the QoS requirements of each link, represented by the signal-to-interference plus noise ratio (SINR) threshold, even in dynamic wireless networks. It validates the applicability of the proposed distributed MS-CA framework to dynamic networks.

Time-efficient detection of false position attack in 5G and beyond vehicular networks

5G-V2X-enabled transportation systems rely on seamless cooperation between vehicles, infrastructure, and pedestrians, facilitated by the exchange of real-time position and state information among these entities. Misbehaving vehicles try injecting bogus messages into the network, thereby compromising its reliability and security. This work proposes an efficient Deep Learning (DL)-based Misbehavior Detection System (MDS) that leverages the use of Recurrent Neural Networks (RNNs) to analyze message consistency and detect bogus information in 5G-V2X networks. We highlight the significance of incorporating historical data to analyze consistency. Additionally, we emphasize the importance of evaluating the computational overhead induced by MDSs in V2X networks, given the critical need for low latency communication. We validate our work through both experimental and theoretical studies and compare it to existing works. The obtained results show the effectiveness of our work, achieving an accuracy of 95% in detecting false information injection attacks. Additionally, we guarantee a low required time/computing complexity of O(1), thereby avoiding significant overhead impacting the end-to-end latency when exchanging CAMs.

Socio-Economic Impacts of Endemic and Epidemic Diseases on Livestock Production Systems in Tanzania

Purpose: The aim of the study was to examine socio-economic impacts of endemic and epidemic diseases on livestock production systems in Tanzania. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study revealed that endemic diseases such as brucellosis, foot-and-mouth disease (FMD), and contagious caprine pleuropneumonia (CCPP) pose ongoing challenges to livestock health, productivity, and household livelihoods. Epidemic diseases like avian influenza and peste des petits ruminants (PPR) can cause sudden outbreaks, leading to acute disruptions in production and trade. These disease outbreaks result in various socio-economic consequences, including decreased livestock productivity, loss of income for farmers, increased veterinary and containment costs, and disruptions in domestic and international trade. Additionally, diseases can exacerbate poverty and food insecurity among rural communities reliant on livestock for sustenance and income generation. Unique Contribution to Theory, Practice and Policy: Economic theory of disease control & social-ecological systems theory may be used to anchor future studies on socio-economic impacts of endemic and epidemic diseases on livestock production systems in Tanzania. Building technical capacity at the grassroots level empowers communities to implement effective disease management strategies and adopt biosecurity measures. Establishing community-based disease surveillance systems that empower local communities to monitor and report disease outbreaks in livestock populations. Providing financial support and risk-sharing mechanisms mitigate economic losses and encourage proactive disease management practices. Establish data-sharing mechanisms and surveillance networks that facilitate real-time exchange of information on disease outbreaks, epidemiological trends, and economic impacts.

Vehicle to Vehicle Communication Using Li-Fi Technology

Abstract: Vehicle-to-vehicle (V2V) communication has emerged as a pivotal technology in the automotive industry, enabling enhanced safety, efficiency, and convenience on the roads. This abstract explores the integration of Light Fidelity (LiFi) technology in V2V communication systems. LiFi, utilizing visible light communication (VLC), offers high-speed wireless connectivity by using light-emitting diodes (LEDs) to transmit data. By harnessing LiFi's unique advantages such as increased bandwidth, low latency, and immunity to radio frequency interference, V2V communication systems can facilitate real-time exchange of critical information between vehicles, including traffic conditions, collision warnings, and cooperative driving maneuvers. This paper delves into the technical aspects, challenges, and potential applications of LiFi-enabled V2V communication, shedding light on its promising role in revolutionizing the future of smart and connected transportation systems

Development of an Arduino-Integrated Wireless Inter-Vehicle Communication Infrastructure for Enhanced Traffic Safety and Efficiency

This project addresses the escalating challenges of road traffic management by proposing a sophisticated vehicle-to-vehicle (V2V) communication system based on Arduino technology. The growing congestion and safety concerns demand innovative solutions to facilitate real-time information exchange among vehicles. Our objective is to design and implement a robust V2V communication infrastructure utilizing Arduino microcontrollers and wireless modules. By establishing seamless communication channels between vehicles, we aim to enhance road safety, optimize traffic flow, and reduce accidents. This abstract outlines the problem statement of inadequate communication systems in current traffic management and presents our proposed solution to mitigate these issues through Arduino-enabled V2V communication.

Assembly-Oriented Finite-Time Coordinated Control of Underactuated Dual Rotary Cranes for Payload Position and Attitude Regulation

With strong load capacity and high maneuverability of payload attitude regulation, dual rotary cranes (DRCs) are widely applied for transportation and assembly tasks in infrastructure construction. For DRCs, to achieve safe and accurate control of the payload position and attitude, it is necessary to enhance the motion synchronization of two cranes, under the premise of controlling more state variables with fewer control inputs based on nonlinear coupling dynamics; moreover, the finite-time convergence of positioning errors is also expected to be guaranteed for high efficiency. To this end, this paper proposes an assembly-oriented finite-time coordinated controller <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">without</i> any linearization to the nonlinear crane dynamics, which realizes accurate and stable regulation of the payload position and attitude through coordinated boom motions. To our knowledge, the proposed controller provides the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">first</i> closed-loop control solution to realize both horizontal and non-horizontal payload hoisting for DRCs based on practical assembly demands. Theoretically, through elaborate design of the synchronization error and coupling errors, the real-time information exchange between the two cranes is realized for the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">first</i> time, which enhances the boom motion synchronization while suppressing payload swings. Furthermore, by introducing continuous terminal sliding mode surfaces with a multi-layer nested structure, the finite-time convergence of the boom positioning errors and the synchronization error is ensured with chattering reduction. Additionally, rigorous closed-loop stability analysis is provided based on Lyapunov techniques and Barbalat’s Lemma. Finally, the effectiveness and robustness of the proposed controller are verified by hardware experimental results. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —This paper is motivated by the coordinated motion control problem of dual rotary cranes (DRCs), which aims to achieve safe and accurate control of the payload position and attitude oriented on practical assembly demands. At present, most control methods for DRCs only realize horizontal payload transportation, which not only ignores the requirements of payload attitude regulation in assembly tasks, but also lacks the guarantee for boom motion coordination and the finite-time convergence of state variables. To address these issues, based on the nonlinear crane dynamics <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">without</i> any linearization, this paper proposes an assembly-oriented finite-time coordinated controller for DRCs, which achieves precise and stable regulation of the payload position and attitude through coordinated boom motions, and simultaneously enhances the system rapidity by ensuring the finite-time convergence of boom positioning errors. Furthermore, the detailed controller design and stability analysis process is provided, and the effectiveness of the proposed method is verified by hardware experiments. In the future research, we will try to apply the proposed method to practical operations of DRCs for complex assembly tasks of large heavy objects.

НАПРАВЛЕНИЯ СОВЕРШЕНСТВОВАНИЯ РЕГУЛИРОВАНИЯ СИСТЕМЫ СТРАХОВАНИЯ В КАЗАХСТАНЕ

The article explores directions for improving the regulation of one of the classes of insurance programs – compulsory the enhanced information systems of the Unified Insurance Database within the framework of the Development Concept of the Financial Sector in Kazakhstan until 2030. The objective is the optimization of the collection of statistical information for personalized accounting of data on workers affected by occupational accidents. A crucial factor is the integration of the automated insurance information system with other national databases for real-time information exchange, enhancing the quality and relevance of statistical data. Special attention is given to the improvement of the mandatory insurance system for occupational accidents, where insufficient problems in the implementation of preventive, rehabilitative, and compensatory functions have been identified. The study necessitates a comprehensive approach to the reform of the mandatory accident insurance system, including legislative changes and institutional reforms to enhance the effectiveness of workers’ social protection. The article proposes a reorientation of the system towards prevention, strengthening of medical-social and professional rehabilitation, as well as preventive insurance programs in accordance with international recommendations.

A New Simultaneous Wireless Power and Information Transfer System With Integrated Signal Magnetic Coupler

For a reliable and controllable wireless power transfer (WPT) system, the simultaneous wireless power and information transfer (SWPIT) technology has recently attracted special consideration to achieve real-time information exchange between the transmitter and receiver. In this article, a novel SWPIT system with an integrated signal magnetic coupler is proposed for wireless charging applications. The signal detection coil integrated with the receiver coil is designed to utilize the existing ferrite cores of the magnetic coupler, reducing the overall cost and obtaining a more compact design. Meanwhile, the deviation frequency enlargement effect (DFEE) principle and the frequency shift keying (FSK) technology are used to realize SWPIT in a wireless charger. The equivalent circuit of the proposed system is modeled and analyzed considering the cross-couplings between the integrated signal coil and the main coils. The finite element analysis (FEA) is presented through Ansys Maxwell software to select the optimal ferrite core structure and eliminate these unwanted cross-couplings. Finally, a 70- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$W$</tex-math></inline-formula> power experimental prototype is established, and comprehensive experimental results are given to verify the feasibility and effectiveness of the proposed SWPIT system. Furthermore, the experimental results demonstrate that the measured output power fluctuation is below 0.5 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> during information transmission, the transmission rate is up to 9.6 kbps, and the system efficiency can be maintained at 88.76 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> .

Experimental application of heterogeneous gliders communication system in South China Sea

This study presents an underwater acoustic communication system based on heterogeneous gliders. The system consists of an underwater unit integrated into an underwater glider and a surface unit integrated into a surface wave glider. This setup enables real-time information exchange across different media. This study details the adaptive integration method and information exchange protocol of the underwater acoustic communication system implemented on the heterogeneous glider. To validate the feasibility of this integration, sea trials are conducted in the South China Sea. Additionally, the communication performance of the heterogeneous glider integrated with the underwater acoustic communication system is analyzed thoroughly. This allows for information communication between underwater, surface, space-based, and shore-based components. The results of this study lay a strong foundation for the development cooperative network intelligent monitoring of heterogeneous gliders.

Monitoring Monkeypox: Safeguarding Global Health through Rapid Response and Global Surveillance.

Monkeypox, a viral zoonotic disease, has emerged as a significant global threat in recent years. This review focuses on the importance of global monitoring and rapid response to monkeypox outbreaks. The unpredictable nature of monkeypox transmissions, its potential for human-to-human spread, and its high morbidity rate underscore the necessity for proactive surveillance systems. By analyzing the existing literature, including recent outbreaks, this review highlights the critical role of global surveillance in detecting, containing, and preventing the further spread of monkeypox. It also emphasizes the need for enhanced international collaboration, data sharing, and real-time information exchange to effectively respond to monkeypox outbreaks as a global health concern. Furthermore, this review discusses the challenges and opportunities of implementing robust surveillance strategies, including the use of advanced diagnostic tools and technologies. Ultimately, these findings underscore the urgency of establishing a comprehensive global monitoring framework for monkeypox, enabling early detection, prompt response, and effective control measures to protect public health worldwide.

Hurdles and opportunities in implementing marine biosecurity systems in data-poor regions.

Managing marine nonindigenous species (mNIS) is challenging, because marine environments are highly connected, allowing the dispersal of species across large spatial scales, including geopolitical borders. Cross-border inconsistencies in biosecurity management can promote the spread of mNIS across geopolitical borders, and incursions often go unnoticed or unreported. Collaborative surveillance programs can enhance the early detection of mNIS, when response may still be possible, and can foster capacity building around a common threat. Regional or international databases curated for mNIS can inform local monitoring programs and can foster real-time information exchange on mNIS of concern. When combined, local species reference libraries, publicly available mNIS databases, and predictive modeling can facilitate the development of biosecurity programs in regions lacking baseline data. Biosecurity programs should be practical, feasible, cost-effective, mainly focused on prevention and early detection, and be built on the collaboration and coordination of government, nongovernment organizations, stakeholders, and local citizens for a rapid response.

Assessing the Measurement Model for Source-Separating Waste for Recycling under a Proposed Smart Waste Management Scheme in Shah Alam, Malaysia

Due to rapid urbanization, solid waste management (SWM) is a major challenge in Malaysia, hence the need to sustainably manage it. Compared with other states, Selangor produces the highest volume of domestic waste. Most of the state’s waste is generated in Shah Alam City. This condition is expected to worsen because the population of Shah Alam is projected to rise by 2.5% from 2018 to 2035. This situation will increase the demand for resources, production, and consumption, increasing the volume of waste generated in Shah Alam. Hence, the pressing necessity to advance from the current traditional waste management practices to a more sustainable SWM system has been identified as a key target in Shah Alam’s 2025–2030 plans. The Smart Waste Management System (SWMS) has been identified as a novel approach to dealing with the absence of route optimization, real-time information exchange, and the consequent increase in waste management costs. All of these elements have characterized the current traditional households’ SWM. However, because this method is novel, there is a dearth of knowledge on the appropriate measurement model for evaluating the dimension of households’ intention to recycle waste through source separation as well as measuring the determinants of such a pro-environmental intention under the new SWMS. Thus, confirmatory factor analysis (CFA) was carried out to verify the factorial structure of the variables, relying on the Theory of Planned Behavior (TPB) based on the structural dimensions identified in prior exploratory factor analysis (EFA). The study found support for the use of TPB as a relevant framework for modeling the intention for source separation and its determinants under SWMS.

Time-optimal coordination of multiple entering and departing ferries in terminals based on decentralized learning model predictive control

In large cities with harbors or rivers, ferry services have been an important part of public transport. In practice, many ferry terminals are subject to geographical and environmental conditions, limited space resources of the terminal pool, and restricted navigable waters of ships, which leads to constrained operations and increases the difficulty of docking when multiple ferries enter and depart from the terminal. Because of the distributed, real-time and dynamic characteristics of multi-ferry maneuvering, this paper proposes a decentralized, time-optimal control strategy to coordinate the maneuvering of multiple entering and departing ferries in restricted terminals. It combines nonlinear model predictive control (MPC) with an iterative learning control (ILC) framework. Based on the states and maneuver data of previously successfully performed trajectories, the coupled constraints among multiple ferries are decomposed with support vector machine (SVM). Therefore, it also does not require real-time information exchange during ferry operations and has the merits of low communication demand, as only local information is required in each ferry controller. Simulations are carried out to evaluate the effectiveness of the proposed method.

APPLICATION OF DIGITAL TECHNOLOGIES IN THE DELIVERY OF CARGO IN INTERNATIONAL TRAFFIC

The article analyzes the current state of the theory and practice of solving issues related to the delivery of goods by road in international traffic. It is determined that increasing the efficiency of cargo transportation in international traffic is possible through the development and implementation of new information systems and the development of innovative software products to solve the problems of planning and operational management of the transport process. The purpose of this article is to develop an innovative integrated management decision support system for organizing and managing the delivery of goods in international traffic based on the combination of cloud technologies for centralized management of real-time information exchange between participants in the transportation process. The exchange of information between participants in the process of cargo delivery in international traffic using a software product allows to improve the provision of transportation services to the client, increase the level of information exchange, implement real-time management of the cargo transportation process, improve the efficiency of decision-making and immediately respond to any changes in the process. The article develops an integrated management decision support system for organizing and managing the delivery of goods in international traffic, based on the approach of combining cloud technologies for centralized management of real-time information exchange between participants in the transportation process. The application of the proposed system with the use of appropriate software will improve the quality of transportation services to the client, increase the level of information exchange, implement real-time management of the cargo delivery process and improve the efficiency of management decision-making. As criteria for assessing the feasibility of using the proposed system, it is customary to consider indicators that are critical to maintaining the required level of sustainability and service and most fully characterize the results of the work performed from the point of view of both the consumer and the carrier. Keywords: digital technologies, cargo delivery, international transportation, efficiency.

Reinforcing Regional Emergency and Critical Care Networks: The Implementation of Telemedicine Systems in Remote Areas

&lt;p&gt;隨著全國每萬人醫師數逐年上升，醫療資源仍集中於都會區域，偏遠地區緊急醫療資源仍相對不足。衛生福利部於2018年「通訊診療治療辦法」放寬遠距醫療之照護對象與模式，並在2021年正式將急診納入「全民健康保險遠距醫療給付計畫」給付範圍。遠距醫療在急重症病人照護已有實證應用，基於遠距醫療專科門診系統建置經驗，結合醫療與資訊科技發展，建置急診遠距醫療會診系統。在面臨緊急醫療搶救，急診遠距醫療須具備好的工具進行資訊傳遞，包含友善操作介面、即時且重要的醫療資訊交換、紀錄留存及綠色通道團隊預先啟動，並可提供大量傷患迅速應變支援，縮短急重症病人醫療處置等待時間。急診遠距醫療會診系統之建置已開啟創新之急重症就醫模式，惟系統功能仍須透過滾動式修正及持續教育訓練，使醫護人員熟悉操作並列入常規系統使用，以作為偏遠地區醫院急診病人第二意見諮詢及轉診評估，降低病人不必要之轉診，提升病人醫療品質。&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Although the number of medical doctors per 10,000 residents in Taiwan has been increasing, most medical resources remain concentrated in metropolitan areas, and emergency medical resources in remote areas remain insufficient. In 2018, the Ministry of Health and Welfare passed the Rules of Medical Diagnosis and Treatment by Telecommunications to expand the coverage of people and models eligible for telemedicine services. In 2021, emergency services were included in the coverage of the National Health Insurance Telemedicine Benefits Plan. Telemedicine has been applied in emergency and critical care with empirical evidence. Based on the experience in establishing a telemedicine specialist outpatient system and the incorporation of medical and information technologies, a remote emergency consultation system was established. To ensure effective emergency care, an emergency telemedicine model must incorporate favorable tools for information transmission, including a user-friendly interface that facilitates real-time and critical medical information exchange and record keeping. The model should also allow for early preparation of the green channel team, ensure that support is at hand for rapid response to a large number of patients, and shorten the waiting time of emergency and critically ill patients for medical treatment. The establishment of the remote emergency consultation system has opened the door to an innovative emergency and critical care model. However, the system functions should be improved on a rolling basis, and continuous staff training is required to familiarize staff with the operation of the system as a routine system. Thus, the system can be used for second opinion consultation and referral assessment for emergency patients in remote hospitals, thereby reducing unnecessary referrals and improving the quality of medical care.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;