Equipment Resources Research Articles

Development and application of \u201cSpecial defibrillator for teaching and training\u201d

BackgroundTo provide an economical and practical defibrillator for first aid teaching and training, to reduce the cost of teaching and training, increase teaching and training equipment, provide trainees with more hands-on training sessions, and improve first aid capabilities.MethodsDeveloping a special teaching defibrillator with the same structure and operation configuration as the clinical medical emergency defibrillator. The appearance, structure and operating accessories of the two defibrillators are the same. The difference between the defibrillator and the clinical medical emergency defibrillator are as follows: the clinical medical emergency defibrillator can be energized, and there are expensive electronic accessories and defibrillation accessories for charging and discharging in the machine. When discharging, the electrode plate has current discharged into the human body; the power plug of the “special defibrillator for teaching and training” is a fake plug. When the power is plugged in, no current enters the body and the machine. There are no expensive electronic accessories and defibrillation accessories for charging and discharging, and no current is discharged during discharge. Then compare the teaching effect of the special defibrillator for teaching and training and the clinical medical emergency defibrillator (including operation score and attitude after training).ResultsThe scores of defibrillator operation in the experimental group of junior college students (87.77 ± 4.11 vs. 83.30 ± 4.56, P < 0.001) and the experimental group of undergraduate students (90.40 ± 3.67 vs. 89.12 ± 3.68, P = 0.011) were higher than those in the corresponding control group; The attitude of junior college students in the experimental group and undergraduate students in the experimental group after training was more positive than that of the corresponding control group (P < 0.05).ConclusionsThe special defibrillator for teaching and training can save the purchase cost of teaching equipment, increase teaching and training resources, and improve the trainee’s defibrillation ability, defibrillation confidence and defibrillation security.

An Elderly Indoor Behavior Recognition Method Based on Improved SlowFast Network*

Due to the limited resources of home-based elderly care monitoring equipment, how to accurately identify the elderly behavior is a hot issue concerned by many equipment manufacturers. A behavior recognition method suitable for embedded equipment is proposed. This method first introduces the TPN module in the SlowFast network to capture the visual action tempo of the elderly and uses Faster-CNN to detect the elderly and objects in the video frames. Then in the AIA module, the accuracy of the elderly indoor behavior recognition is improved by strengthening the correlation between the elderly and the objects. Experiments show that the improved network can run stably at 18FPS on Jetson Xavier NX. The indoor behavior recognition accuracy for the elderly reaches 90.61%, which is 8.25% higher than the original SlowFast network.

Optimal Scheduling Strategy of Virtual Power Plant With Power-to-Gas in Dual Energy Markets

The virtual power plant (VPP) is a cloud-based aggregator that combines heterogeneous distributed energy resources to give a reliable and friendly power supply. In this article, a VPP that consists of natural gas network, power to gas (P2G) equipment, flexible load, and other resources is introduced in the electricity market and natural gas market considering the uncertainties of renewable energy outputs and demand responses. Moreover, the optimal scheduling strategy of VPP includes power and gas dispatch considering bidirectional flows of power and gas, and the optimization model considering dual-energy markets is investigated by developing different scenarios to maximize the VPP's profit. Case studies have been carried out to analyze the economy and scheduling strategy of the VPP. Simulation results show that the VPP studied in this article can effectively reduce the proportion of renewable curtailment by selling electricity or P2G equipment. Besides, it is beneficial to maintain pressure stability and security operation of the natural gas network, and the VPP could decrease unbalanced penalty cost and reduce the impact from uncertainties in dual-energy markets.

IoT-Enabled Vehicle Speed Monitoring System

Millions of people lose their lives each year worldwide due to traffic law violations, specifically, over speeding. The existing systems fail to report most of such violations due to their respective flaws. For instance, speed guns work in isolation and cannot measure speed of all vehicles on roads at all spatial points. They can only detect the speed of the vehicle the line of sight of the camera. A solution is to deploy a huge number of speed guns at different locations on the road to detect and report vehicles that are over speeding. However, this solution is not feasible because it demands a large amount of equipment and computational resources to process such a big amount of data. In this paper, a speed detection framework is developed to detect vehicles’ speeds with only two speed guns, which can report speed even when the vehicle is not within the camera’s line of sight. The system is specifically designed for an irregular traffic scenario such as that of Pakistan, where it is inconvenient to install conventional systems. The idea is to calculate the average speed of vehicles traveling in a specific region, for instance, between two spatial points. A low-cost Raspberry Pi (RPi) module and an ordinary camera are deployed to detect the registration numbers on vehicle license plates. This hardware presents a more stable system since it is powered by a low consumption Raspberry Pi that can operate for hours without crashing or malfunctioning. More specifically, the entrance and exit locations and the time taken to get from one point to another are recorded. An automatic alert to traffic authorities is generated when a driver is over speeding. A detailed explanation of the hardware prototype and the algorithms is given, along with the setup configurations of the hardware prototype, the website, and the mobile device applications.

Teacher’s Views on Training and Capacity Building in Education

Education is the life process by the continuous development and reconstruction of experiences. It involves the capacity of all those abilities which will enable individuals to control environment, adjust him in that environment and fulfill his all responsibilities. Twenty-first century education is about skills –sets of processes. Our students need to be able to adapt to contexts, meet challenges, and solve problems that are as yet unknown. Training is teaching or developing in oneself or other’s any skills and knowledge that relate to specific useful competencies. Training has specific goals of improving one’s capability, capacity, productivity and performance. Capacity is the ability or innate disposition of a person or entity to be self- sustained. Capacities are developed from inner due to external knowledge. Capacity building or capacity development is the process by which individuals and organizations obtain, improve, and retain the skills, knowledge, tools, equipment and other resources needed to do their jobs competently or to a greater capacity. The purpose of the present study is to find out the role of teacher’s in training and capacity building in Education. The dimensions of the study are importance of training in education, suggestive strategies of capacity building, and mind set of teachers for capacity development. The investigators have proposed to use qualitative method for the present study. The results will provide information about teacher’s views and different methods for capacity building.

Completed Tasks Number Maximization in UAV-Assisted Mobile Relay Communication System

Unmanned aerial vehicle (UAV) with high flexibility, ease of deployment, and low cost has been widely applied to our daily life. In this paper, an UAV-assisted mobile relay communication system is considered, in which one UAV and one access point (AP) jointly provide computing resources for dense user equipment (UE) on the ground. We aim to maximize the number of tasks completed on the UAV and AP by optimizing the local computing frequency, offloading ratio, offloading power, computing frequency of the AP, computing frequency of the UAV, relaying power of the UAV, and relaying ratio of the UAV. Because the formulated problem is a mixed-integer nonlinear programming (MINP) problem that is very difficult to solve directly, we convert it into the problem of minimizing the computing frequency allocated by the UAV and AP to each UE. Then block coordinate descent (BCD) method is adopted to solve the converted problem. An optimal partial offloading and relaying scheme (POARS) is proposed to obtain the maximal number of completed tasks. Finally, simulation results show that POARS has a better performance than other schemes.

A novel cervical cancer screen-triage-treat demonstration project with HPV self-testing and thermal ablation for women in Malawi: Protocol for a single-arm prospective trial

Cervical cancer is the leading cause of cancer mortality among Malawian women, despite being preventable through screening and preventive therapy. In 2004, Malawi implemented a national screening program, using visual inspection with acetic acid (VIA) and cryotherapy, but its success has been limited due to equipment and human resources challenges. Since the development of that program, new technologies for screening and treatment that are less resource-intensive and more scalable have become available. GeneXpert systems provide fast, accurate HPV results and are increasingly available in low-income countries. Self-collection for human papillomavirus (HPV) testing is a validated method for screening and improves uptake. Thermal ablation provides an alternative ablative treatment that is simpler to use than cryotherapy and can be performed with portable devices. Meanwhile, urine HPV testing methods provide promising options for primary screening. We designed a single-arm prospective study to investigate a novel HPV screen-triage-treat strategy among 1250 women in Lilongwe, Malawi. Our proposed strategy consists of (1) Xpert HPV testing of self-collected samples, (2) VIA and colposcopy for HPV-positive women, and (3) thermal ablation for HPV-positive/ablation-eligible women. We will collect cervical biopsies, Pap smears, and endocervical samples to validate the HPV results and VIA/colposcopy findings against endpoints of high-grade cervical intraepithelial neoplasia or cancer (CIN2+). We will evaluate same-day completion of our algorithm, its performance in triaging women for treatment, and 24-week treatment efficacy of thermal ablation. We will also explore the performance of HPV and methylation tests in urine samples, as compared to provider- and self-collected cervicovaginal samples.

A Modified Rainbow-Based Deep Reinforcement Learning Method for Optimal Scheduling of Charging Station

To improve the operating efficiency and economic benefits, this article proposes a modified rainbow-based deep reinforcement learning (DRL) strategy to realize the charging station (CS) optimal scheduling. As the charging process is a real-time matching between electric vehicles ‘(EVs) charging demand and CS equipment resources, the CS charging scheduling problem is duly formulated as a finite Markov decision process (FMDP). Considering the multi-stakeholder interaction among EVs, CSs, and distribution networks (DNs), a comprehensive information perception model was constructed to extract the environmental state required by the agent. According to the random behavior characteristics of the EV charging arrival and departure times, the startup of the charging pile control module was regarded as the agent’s action space. To tackle this issue, the modified rainbow approach was utilized to develop a time-scale-based CS scheme to compensate for the resource requirements mismatch on the energy scale. Case studies were conducted within a CS integrated with the photovoltaic and energy storage system. The results reveal that the proposed method effectively reduces the CS operating cost and improves the new energy consumption.

Learning to think critically about health using digital technology in Ugandan lower secondary schools: A contextual analysis.

The world is awash with claims about the effects of health interventions. Many of these claims are untrustworthy because the bases are unreliable. Acting on unreliable claims can lead to waste of resources and poor health outcomes. Yet, most people lack the necessary skills to appraise the reliability of health claims. The Informed Health Choices (IHC) project aims to equip young people in Ugandan lower secondary schools with skills to think critically about health claims and to make good health choices by developing and evaluating digital learning resources. To ensure that we create resources that are suitable for use in Uganda's secondary schools and can be scaled up if found effective, we conducted a context analysis. We aimed to better understand opportunities and barriers related to demand for the resources, how the learning content overlaps with existing curriculum and conditions in secondary schools for accessing and using digital resources, in order to inform resource development. We used a mixed methods approach and collected both qualitative and quantitative data. We conducted document analyses, key informant interviews, focus group discussions, school visits, and a telephone survey regarding information communication and technology (ICT). We used a nominal group technique to obtain consensus on the appropriate number and length of IHC lessons that should be planned in a school term. We developed and used a framework from the objectives to code the transcripts and generated summaries of query reports in Atlas.ti version 7. Critical thinking is a key competency in the lower secondary school curriculum. However, the curriculum does not explicitly make provision to teach critical thinking about health, despite a need acknowledged by curriculum developers, teachers and students. Exam oriented teaching and a lack of learning resources are additional important barriers to teaching critical thinking about health. School closures and the subsequent introduction of online learning during the COVID-19 pandemic has accelerated teachers' use of digital equipment and learning resources for teaching. Although the government is committed to improving access to ICT in schools and teachers are open to using ICT, access to digital equipment, unreliable power and internet connections remain important hinderances to use of digital learning resources. There is a recognized need for learning resources to teach critical thinking about health in Ugandan lower secondary schools. Digital learning resources should be designed to be usable even in schools with limited access and equipment. Teacher training on use of ICT for teaching is needed.

Designing trenchless technologies in oil and gas engineering

The article deals with the design of trenchless technologies for the restoration of pipelines in oil and gas engineering, taking into account the state of existing pipelines, the need for installing polyethylene pipes, and their strength and hydraulic parameters. Taking into account the high cost and timing of pipeline construction by the open method, the annual rate of aging of pipeline systems, the issue of construction, reconstruction and replacement of emergency pipelines can be solved only by using trenchless technologies, which will reduce direct and indirect financial and time costs. The term “trenchless technologies” can be defined as any method of trenchless installation and restoration of a pipeline with a description of the regulated sequence of operations performed using special equipment, instruments, materials, and human resources. Along with efficiency and cost-effectiveness, the trenchless technologies do not to deteriorate the existing environmental situation

PERCONTOHAN BUDIDAYA KEDELAI HITAM DI LAHAN SAWAH DESA KEMUMU DAN OLAHAN HASILNYA

This devotional activity aims to improve farmers' skills in the cultivation of black soybeans and increase the selling value of black soybeans which can ultimately increase farmers' incomes in Kemumu Village. Devotional activities are designed in 3 types of activities that are mutually sustainable, namely (1) education and extension of black soybeans, (2) the manufacture of black soybean planting experiments, and (3) training and the making of black soybean processing. The results of the activity showed that the education and counseling carried out by the devotional team was able to increase knowledge about black soybeans both planting techniques and processing of seed products. Cultivation of soybean plants and the manufacture of processed soybean seeds into tempe, tofu, and soy sauce have been successfully carried out by the farmer's group of Kemumu Village, North Bengkulu. The result achieved by the black soybean variety Detam 4 is 1.39 tons/ha. To follow up on this activity, the proposed suggestions include: (1) in the future members of the target farming group are expected to continue to carry out the practice of cultivating black soybeans on a wider scale (2) members of the target farming group to keep making tempe and soybeans on an industrial scale to increase household income, (3) to the government to provide a channel of funds to meet adequate equipment resources in the production of tofu and industrial-scale tempe.

Optimal Control of Hybrid Energy Storage System of New Energy Power Generation System Based on Improved Particle Swarm Algorithm

In order to ensure the stability and reliability of power supply and realize day and night power generation, wind and solar complementary power generation systems are built in areas with abundant solar and wind energy resources. However, the system investment cost is too high. Because of this, there are wind, light intermittent, and non-intermittent power generation systems. For issues such as stability, an energy storage system needs to be configured to stabilize power fluctuations. This paper aims to study the optimization control of hybrid energy storage system of new energy power generation system based on improved particle swarm algorithm. In this paper, the application of particle swarm algorithm to power system reactive power optimization has been researched in two aspects. Through optimization methods, reasonable adjustment of control variables, full use of equipment resources of the power grid, to improve voltage quality and reduce system operation network to ensure the stability of the voltage system. In addition, this paper selects the IEEE30 node test system and simulation data analysis, takes the hybrid energy storage system as the optimization object, and optimizes the reactive power of the newly improved particle swarm algorithm. The experiments in this paper show that the improved algorithm has a good effect in reactive power optimization, increasing the performance of the hybrid energy storage system by 27.02%. MPSO algorithm is also better than basic PSO algorithm. It can be seen from the figure that in the PSO algorithm, the algorithm basically tends to be stable after more than 40 iterations, and finally the algorithm converges to 0.089.

Development and Application of Artificial Intelligence Multimedia Technology Based on Big Data

Artificial intelligence is an innovative enterprise theme that combines computer science, physiology, science, and other disciplines, including expert programs, technical experiments, games, native language understanding, cognitive rehabilitation, robotics, engineering, recognition, and other fields. The breakthrough growth made the arrival of the era of big data have a fundamental impact on many traditional industries and has also promoted the transformation of teaching methods and methods in the field of education. In the traditional classroom, due to the limitations of teaching resources, teaching time, and location, students are basically passively accepted by the teacher, and the teaching form is single. This will improve in the age of big data with well-developed network message. Modern distance education uses advanced technology such as computer networks, multimedia, and artificial intelligence to build a virtual teaching environment based on the network. It breaks through the limitations of teachers, teaching materials, experimental equipment, and other resources that exist under the traditional teaching model. Using educational resources of the same scale can expand educational capabilities exponentially and at the same time overcomes the unified progress of traditional teaching methods, single teaching methods, and students’ dissatisfaction. The shortcomings of differences and personalities that are not reflected are conducive to the improvement of the quality of education. It is the original intention of education to offer students special study resources and to stimulate students’ enthusiasm for learning. To enhance the current learning environment, the article builds a personalized multimedia network teaching system based on big data and streaming media technology. By recording the teacher’s class process as a video and uploading it to the multimedia network teaching system, students can watch and download related videos online for learning and also communicate online. The system can also provide personalized and intelligent recommendations for students based on student learning habits. The system is developed based on intelligent multimedia method and has the characteristics of security and stability and has done some help for network teaching of educational institutions.

Retracted] Garment Digital Design Method Oriented to the Production Process of Graphene‐Modified Nylon Knitted Fabric

Graphene is a single‐atom‐thick layer of carbon atoms, the thinnest material ever discovered. The special single atomic layer structure of graphene makes it have many unique physical and chemical properties, and these excellent properties make graphene have a bright application prospect in the field of composite materials. The use of modern digital production technology to coordinate the management of various production departments of an enterprise can greatly reduce the input of human resources and improve the utilization of materials and equipment resources. In the process of caprolactam monomer polymerization, adding filler is a common method to strengthen and toughen nylon. The main fillers are powder fillers and fibrous materials. In order to make the fillers denatured, the fillers are usually pretreated with a silane coupling agent before modification. This research mainly discusses the digital clothing design method oriented to the production process of graphene‐modified nylon knitted fabric. The color of graphene‐modified cotton fiber is gray and black. With the increase of graphene content, the color becomes darker. Graphene has become a hotspot in materials science due to its unique two‐dimensional crystal structure and excellent mechanical, thermal, and electrical properties. In this paper, the preparation and organic modification of graphene oxide and its application in cast nylon are mainly studied. Therefore, when designing graphene‐modified cotton fiber jacquard graphene knitted fabric, the color matching has certain restrictions. The shrinking is to reduce the friction between the fibers through the appropriate concentration of the shrinking agent and improve the stretching and shrinking ability of the wool fiber. The fabric feels plump after shrinking, forming fluff, and improving the warmth retention performance. Due to the different design of the veil material, ground yarn material, and organizational structure of the fabric sample, the basic parameters of the fabric are directly different. Therefore, first perform the width, density, areal density, thickness, and raw material content ratio of the blank sample of the fabric. And wait for testing. In order to realize the digitization of styles, this research has developed a drawing system, which provides a large number of drawing tools to enable designers to draw clothing styles more accurately. The system for digital realization consists of six parts, including desktop environment, drawing tools, linear settings, curve drawing, data storage, and user interface. There are a variety of curves to choose from in computer graphics. The B3 spline curve has become the first choice due to its smoothness, no Runge phenomenon, and few saved data. When the mass fraction of graphene‐modified nylon was reduced to 18%, the inhibitory rate of Staphylococcus aureus and Escherichia coli was still greater than 80%. Nylon/modified graphene oxide nanocomposites with different filler contents were prepared by in situ polymerization with modified graphite oxide as modified filler. The effects of modified graphene oxide on the mechanical properties, wear resistance, and thermal properties of the composites were investigated. This research will promote the development of a customized platform for apparel collaborative management.

Multi-Classification and Distributed Reinforcement Learning-Based Inspection Swarm Offloading Strategy

In meteorological and electric power Internet of Things scenarios, in order to extend the service life of relevant facilities and reduce the cost of emergency repair, the intelligent inspection swarm is introduced to cooperate with monitoring tasks, which collect and process the current scene data through a variety of sensors and cameras, and complete tasks such as emergency handling and fault inspection. Due to the limitation of computing resources and battery life of patrol inspection equipment, it will cause problems such as slow response in emergency and long time for fault location. Mobile Edge Computing is a promising technology, which can improve the quality of service of the swarm by offloading the computing task of the inspection equipment to the edge server nearby the network. In this paper, we study the problem of computing offloading of multi-devices multi-tasks and multi-servers in the intelligent patrol inspection swarm under the condition of a dynamic network environment and limited resources of servers and inspection equipment. An effective adaptive learning offloading strategy based on distributed reinforcement learning and multi-classification is proposed to reduce the task processing delay and energy consumption of the intelligent inspection swarm and improve the service quality. Numerical experimental results demonstrate that the proposed strategy is superior to other offloading strategies in terms of time delay, energy consumption and quality of service.

Percepções de profissionais de enfermagem sobre suas condições de trabalho e saúde no contexto da pandemia de COVID-19

Abstract Objective: to identify working conditions and their effects on nursing professionals’ health during the COVID-19 pandemic, based on the workers’ own perceptions. Methods: qualitative research carried out with 15 nursing professionals interviewed through online focus group. We analyzed the interviews content based on hermeneutics-dialectics. Results: nurses reported that the pandemic worsened their historic, chronic, and precarious working and health conditions, marked by increased workload, lack of personal protection equipment and material resources, shortage of professionals and devaluation of their jobs, generating a perceived dehumanization at work, with nurses feeling as “machines” and “numbers”. Mental suffering due to the risk of contamination, the frequent death of co-workers, patients, and family members, lack of societal support concerning protective measures, and the increasing demands for performance and productivity generates anxiety, depression, and stress. Conclusion: the COVID-19 pandemic enhanced nurses’ mental suffering and the precariousness of their work, urging the improvement of their working conditions and health promotion, essential for workers’ protection and dignity.

AUTOMATION MONITORING OF CUTTING FORCES DURING MILLING AND DRILLING

Commissioning of products made of new composite materials significantly reduces the weight of the structure, which is an important indicator in the transport construction and manufacture of special equipment used in agriculture. For example, reducing the weight of the car by 1 kg saves up to 100 liters of fuel per year. Nevertheless, there are problems associated with the measuring of cutting forces associated with the absence of experimental values of a number of coefficients used in calculations. (Research purpose) The research purpose is developing a device for measuring cutting forces and an automated control system for measuring, transmission and storage of data. (Materials and methods) The solution to this problem was constructed on the basis of the method of reengineering the existing dynamometer design with the introduction of undocumented capabilities of the dynamometer base to determine the cutting forces at all three coordinates Px, Py, Pz and the torque that occurs during cutting. (Results and discussion) The article presents the polymer material and the additive technology used to manufacture the dynamometer. The method of selection of deformation control sensors was substantiated and a methodology for setting up and calibrating the data collection and control system was described. The article presents an automated control system for measuring cutting forces, processing, transmitting and storing information. (Conclusions) The experimental and industrial studies of dynamometer designs made it possible to develop a cheap device for measuring cutting forces with an automated control system for monitoring, transmission and storage, which makes it possible to optimize production, and save equipment and tool resources.

Outcomes and Associated Factors Among Adult Patients Admitted to Adult Intensive Care Unit, Retrospective Cohort Study

ABSTRACT Background: Intensive care unit represent a multidisciplinary and inter-professional specialty dedicated to the total management of patients with acute life threatening condition. Now a day the care is advancing; however, in resource limited country like Ethiopia the care is very poor if any and mortality still high because of numerous reasons. Objective: To determine outcome with its associated factors of adult patient admitted to adult intensive care unit (AICU), Ambo University Referral Hospital, and Ambo. Ethiopia. Method: After obtaining ethical clearance, a retrospective institution-based cohort study was used. Data were retrieved from all intensive care unit (ICU) admitted patients (from September 2019 to December 2021) using a pre-tested structured questionnaire and the collected data was entered into Epi info and transported to SPSS for analysis. Risk factors and their associations were assessed by logistic regression, bivariate and multivariate logistic regression was used, P value 0.05 on multivariate logistic regression was considered statistically significant. Result: Five hundred and fifty patients have been admitted to the intensive care unit. However; only 390 patients had completed data and were analyzed. Majority 203 (52.1%) of participants were men and 155 patients were supplied by the medical service. The overall mortality rate was 46.9%, and significantly associated with Glasgow coma scale &lt; 9 (AOR = 3.7, P value &lt; 0.001), patient with coexisting disease (AOR = 2.2, P value 0.001). AOR = 1.9, P-value 0.011). mechanical ventilation requirements (AOR = 2.6, P-value 0.001) and patients who stayed less than four days in intensive care are more likely to die than patients who stayed longer than four days (AOR = 2.4, P value &lt; 0.001). Conclusion and recommendation: The overall death rate in the intensive care unit is high and patient with low Glasgow coma scale, coexisting disease, need of mechanical ventilation short duration of stay are associated with mortality in intensive care unit. Therefore; we recommend the improvement of acute intensive care through the expansion of care, the provision of emergency equipment, drugs and human resources from different disciplines. Highlights

Pandemic Implications on Health – An Indian Perspective

The paper is aimed at understanding the impact of Covid on Healthcare. Using the key informant method, healthcare experts' views were obtained and reviewed. The result of the study indicates the need for strengthening Manpower, promoting alternative medical systems, encouraging self-reliance in research and development, digital healthcare, advanced diagnostic support services, and mental health support systems for India. The positive impacts were the expansion of telehealth, remote health care has become a reality, social cohesion, and conscience among people helping to understand the existing gaps in the health care system and recognition of indigenous medical health care. The negative impacts are difficulty in procuring additional manpower, equipment, consumables, and other resources, lack of adequate medical equipment, and differential distribution of services between urban and rural areas. Based on the review suggestion a pandemic preparedness policy framework to deal with the pandemic changes/issues required to be attended to in terms of Quality healthcare, Safety, Infrastructure, and public health, will be proposed. The study also aspires to be of interest to training and developmental organizations, policymakers, and stakeholders of health care institutions to work towards improving the quality of healthcare and enhancing pandemic preparedness.

Establishing a Centralized Logistical Triage Platform to facilitate Supply Chain Optimization for Critical Resources during COVID-19 in a Developing Country

Problem: The COVID-19 pandemic has resulted in significant resource deficiencies, especially with regards to basic facilities required for the safety of Healthcare Professionals (HCPs) such as Personal Protective Equipment (PPE). Resource deficiency can be attributed both to inadequate production and to misdirected distribution due to deficits in the global supply chain, particularly in a time-sensitive situation like this. Low-Middle Income Countries (LMICs) face the added burden of economic constraints and underdeveloped health-care infrastructure. Lack of a centralized approach, ineffective rapid communication (especially amongst private and public entities), stockpiling and inefficient resource allocation further exacerbate this underlying issue.Approach: Project Alloy has worked on building a platform for “Logistical Triage” to strengthen the coordination of resource networks in crisis situations. We aim to facilitate supply chain optimization by tackling inequitable resource distribution through a centralized management approach. Through our portal, healthcare organizations in need of personal protective equipment, ventilators, and other key resources would be connected to non-governmental organizations, government agencies and manufacturers to enable time-sensitive and need-based optimization of resource allocation and distribution. Outcomes: We hope to facilitate near-real time tracking of resource consumption, to guide the efforts of rapidly emerging “pop-up” suppliers and manufacturers. This would ultimately feed into three key outcomes: a) to ensure immediate continuity of supplies to HCPs in the frontline against COVID-19; b) to track and preempt the trajectory of resource deficiencies and demands in order to mitigate the impact of the rapidly rising incidence of COVID-19 cases; and c) to establish a centralized network for healthcare specific e-commerce infrastructure in low-middle income countries to facilitate future crisis management. Future Steps: We plan to expand iteratively, to include e-commerce technology to build our supplier dashboard and to develop a crisis specific e-commerce marketplace for healthcare resources.