Design and Implementation of Intelligent Truck Based on Azure Kinect

In recent years, due to the impact of COVID-19, the market prospect of non-contact handling has improved and the development potential is huge. This paper designs an intelligent truck based on Azure Kinect, which can save manpower and improve efficiency, and greatly reduce the infection risk of medical staff and community workers. The target object is visually recognized by Azure Kinect to obtain the center of mass of the target, and the GPS and Kalman filter are used to achieve accurate positioning. The 4-DOF robot arm is selected to grasp and transport the target object, so as to complete the non-contact handling work. In this paper, different shapes of objects are tested. The experiment shows that the system can accurately complete the positioning function, and the accuracy rate is 95.56%. The target object recognition is combined with the depth information to determine the distance, and the spatial coordinates of the object centroid are obtained in real time. The accuracy rate can reach 94.48%, and the target objects of different shapes can be recognized. When the target object is grasped by the robot arm, it can be grasped accurately according to the depth information, and the grasping rate reaches 92.67%. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Performance of IPOs During Covid-19 Pandemic and Factors Affecting Investors' Perception

Initial Public Offering (IPO) is a fund-raising tool through which a company gets listed for the first time under SEBI regulation and issues IPOs to raise funds from the public. The shift from a privately-owned to a publicly-owned firm via an IPO is the most significant event in a company's life (Pagano et al., 1998). In an IPO investment, there is limited historical data to analyze and predict the future performance of the company;hence it becomes a risky investment for the investors as they cannot predict how the shares will perform in the future. Most companies that go for an IPO are in the growth or expansion phase so it becomes more difficult to predict their market position and performance in the future, which leads to uncertainty in deriving their future value. Also, most IPOs are of companies going through a transitory growth period, and are therefore subject to additional uncertainty regarding their future value. This study analyzes the performance of the IPOs issued during the Covid-19 pandemic, when the markets across the world faced massive disruptions. The IPOs from various sectors like finance, technology, service, infrastructure, food, pharmaceutical and information technology were considered for the study. The study also analyzes the factors affecting investor perception towards investment in an IPO. The study considered the IPOs issued during the pandemic, and their performance on the listing day was measured by considering issue price, listing price and closing price. It was observed that 90% of the IPOs selected performed well during the listing day and 10% underperformed. It was also found that factors like company brand, company sector, fundamental analysis, company ratings, expert opinion and stock market conditions had a positive impact on the investors' decision to invest in an IPO. The study also revealed that factors like risk factor in primary market, returns on IPO on the listing day and Gray Market Premium have no significant impact on the investors' perception.

A survey of automatic contact tracing approaches using bluetooth low energy

To combat the ongoing Covid-19 pandemic, many new ways have been proposed on how to automate the process of finding infected people, also called contact tracing. A special focus was put on preserving the privacy of users. Bluetooth Low Energy as base technology has the most promising properties, so this survey focuses on automated contact tracing techniques using Bluetooth Low Energy. We define multiple classes of methods and identify two major groups: systems that rely on a server for finding new infections and systems that distribute this process. Existing approaches are systematically classified regarding security and privacy criteria.Copyright © 2021 ACM.

Contact Tracing over Uncertain Indoor Positioning Data

Pandemics often cause dramatic losses of human lives and impact our societies in many aspects such as public health, tourism, and economy. To contain the spread of an epidemic like COVID-19, efficient and effective contact tracing is important, especially in indoor venues where the risk of infection is higher. In this work, we formulate and study a novel query called Indoor Contact Query (<sc>ICQ</sc>) over raw, uncertain indoor positioning data that digitalizes people's movements indoors. Given a query object <inline-formula><tex-math notation="LaTeX">$o$</tex-math></inline-formula>, e.g., a person confirmed to be a virus carrier, an <sc>ICQ</sc> analyzes uncertain indoor positioning data to find objects that most likely had close contact with <inline-formula><tex-math notation="LaTeX">$o$</tex-math></inline-formula> for a long period of time. To process <sc>ICQ</sc>, we propose a set of techniques. First, we design an enhanced indoor graph model to organize different types of data necessary for <sc>ICQ</sc>. Second, for indoor moving objects, we devise methods to determine uncertain regions and to derive positioning samples missing in the raw data. Third, we propose a query processing framework with a close contact determination method, a search algorithm, and the acceleration strategies. We conduct extensive experiments on synthetic and real datasets to evaluate our proposals. The results demonstrate the efficiency and effectiveness of our proposals. IEEE

Lessons learned from the COVID-19 pandemic: implications for semiprofessional soccer clubs after the crisis- a team study

In 2019-2020 and 2020-2021, the COVID-19 pandemic led to unexpected behavioral restrictions, allowing only the individual training of the athletes. The purpose of the present study was to record the effects of a home-based training program on physical performance at a semi-professional level, after the Covid-19 confinement, in terms of external load. Twenty soccer players from one semi-professional team participated in this study. The data was collected by GPS devices, with an accelerometer and gyroscope, and a sampling rate 10Hz. The external load is evaluated by the total distance, the high-intensity runs, the sprint distance as well as the number of accelerations and decelerations. Three matches before and twelve games after the lockdown were analyzed and compared. During the confinement period, the players performed 5-6 training sessions per week. This period lasted over 4 four months. The training sessions were monitored by a free smartphone application. Similarly, the players communicated with the technical staff with a free internet application. The results showed significant increases (p < 0.05) in the total distance covered during the matches after the intervention. No significant increase in high-intensity runs and the number of accelerations were found (p > 0.05). The present data suggest that an intervention monitored by a free application could improve athletic performance at the semi-professional level, even after long-term abstinence from team training such as quarantine or off-season periods. These data might provide affordable solutions to the semi-professional soccer teams, which could be used during the off-season period leading to reduce detraining effects and higher performance in the forthcoming championship.

Beckoning a new post- Covid higher education engagement agenda: Lessons from Nelson Mandela University Covid-19 responses

The COVID-19 pandemic set higher education institutions on an unprecedented path requiring of them to identify alternative strategies and implement various initiatives to sustain their academic projects. With the widespread devastation of the pandemic, the purpose of universities within their communities were again in the spotlight. A sensibility of the intertwinement between the local university and the community was also reemphasised in the pandemic's wake, with the recognition of COVID-19 as a crosscutting problem. This paper examines Nelson Mandela University's engagement initiatives during the pandemic to underline its fundamental strategic undertakings within its positioning as a "transformative, responsive university in service of society". Through an interpretive paradigm, the paper presents lessons from a qualitative, explorative case study inquiry of Nelson Mandela University reports during the pandemic. The findings indicate that the initiatives deployed by the university during the pandemic strengthened its overall community engagement strategy.

Prone positioning for mechanically ventilated patients with coronavirus disease 2019: the experience of an Irish regional hospital intensive care unit.

BACKGROUND: The benefits of prone positioning in acute respiratory distress syndrome (ARDS) have been known for many years. While some controversy exists regarding whether coronavirus disease 2019 (COVID-19) pneumonia should be treated with the same therapeutic strategies as for non-COVID ARDS, the Surviving Sepsis Campaign still provide a weak recommendation to utilise prone positioning in this setting. AIMS: The aims of this study are to ascertain if prone positioning improves oxygenation significantly in mechanically ventilated patients with severe COVID-19 ARDS and to describe the feasibility of frequent prone positioning in an Irish regional hospital intensive care unit (ICU) with limited prior experience. METHODS: In this retrospective, observational cohort study, we investigate if the PaO2/FiO2 ratio and ventilatory ratio improve during and following prone positioning, and whether this improvement correlates with patient baseline characteristics or survival. RESULTS: Between March 2020 and 2021, 12 patients underwent prone positioning while mechanically ventilated for severe COVID ARDS. Sixty-six percent were male, mean age 60.9 (± 10.5), mean BMI 33.5 (± 6.74) and median APACHE II score on admission to ICU was 10.5 (7.25-16.3). Further, 83% were proned within 24 h of being intubated due to refractory hypoxaemia. PaO2/FiO2 ratio improved from 11.6 kPa (9.80-13.8) to 15.80 kPa (13.1-19.6) while prone, p < 0.0001. CONCLUSIONS: We found prone positioning to be a safe method of significantly improving oxygenation in mechanically ventilated patients with severe COVID-19 ARDS. We did not find a relationship between patient baseline characteristics nor illness severity and degree of PaO2/FiO2 ratio improvement, nor did we find a relationship between degree of PaO2/FiO2 ratio improvement and survival.

Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile.

Most crowding measures in public transportation are usually aggregated at a service level. This type of aggregation does not help to analyze microscopic behavior such as exposure risk to viruses. To bridge such a gap, our paper proposes four novel crowding measures that might be well suited to proxy virus exposure risk at public transport. In addition, we conduct a case study in Santiago, Chile, using smart card data of the buses system to compute the proposed measures for three different and relevant periods of the COVID-19 pandemic: before, during, and after Santiago's lockdown. We find that the governmental policies diminished public transport crowding considerably for the lockdown phase. The average exposure time when social distancing is not possible passes from 6.39 min before lockdown to 0.03 min during the lockdown, while the average number of encountered persons passes from 43.33 to 5.89. We shed light on how the pandemic impacts differ across various population groups in society. Our findings suggest that poorer municipalities returned faster to crowding levels similar to those before the pandemic.

Erratum: Effects of awake prone position vs. usual care on acute hypoxemic respiratory failure in patients with COVID-19: a systematic review and meta-analysis of randomized controlled trials.

[This corrects the article DOI: 10.3389/fmed.2023.1120837.].

EyesOnMe: Investigating Haptic and Visual User Guidance for Near-Eye Positioning of Mobile Phones for Self-Eye-Examinations

The scarcity of professional ophthalmic equipment in rural areas and during exceptional situations such as the COVID-19 pandemic highlights the need for tele-ophthalmology. This late-breaking work presents a novel method for guiding users to a specific pose (3D position and 3D orientation) near the eye for mobile self-eye examinations using a smartphone. The user guidance is implemented utilizing haptic and visual modalities to guide the user and subsequently capture a close-up photo of the user's eyes. In a within-subject user study (n=24), the required time, success rate, and perceived demand for the visual and haptic feedback conditions were examined. The results indicate that haptic feedback was the most efficient and least cognitively demanding in the positioning task near the eye, whereas relying on only visual feedback can be more difficult due to the near focus point or refractive errors. © 2023 Owner/Author.

An International Student, a Researcher, or a Work-Ready Graduate? Exploring the Self-formation of International Students in Coursework Master's Programmes

Providing research pathways for coursework master's programme (CMP) students is a feature in the Australian higher education system. While a burgeoning number of international students in Australian CMPs participate in research units, it is constraining to rigidly categorise international students as belonging to either research or coursework streams. Acknowledging that, this chapter explores the detailed experiences of international students who have recently completed the research pathway in their CMP. Combining the concepts of self-formation and positioning theory, it investigates international students' interactions with social actors, negotiations with the self and external rules, such as social codes and educational structures. Through collaborative autoethnography, this chapter identifies four stages of self-formation, namely pre-positioning, positioning, performing, and transformation, and highlights the influences of COVID-19 on these four stages. This chapter suggests that collective efforts on an institutional level are required to improve the wellbeing of international students in four main areas, namely developing agency, resolving career anxiety, addressing financial difficulties, and handling mental issues. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.

Respiratory Therapy and Proning

The novel SARS coronavirus-2 (SARS-CoV-2) is responsible for COVID-19 which primarily affects the respiratory tract, particularly the lungs, of infected patients. The COVID-19 pandemic resulted in a large number of hospitalized patients with respiratory failure reaching the level of acute respiratory distress syndrome (ARDS). ARDS requires prolonged respiratory care. Critically ill patients can frequently progress to decompensation and death. Respiratory therapy is therefore important in response to such a health crisis as COVID-19, to improve patient care and ultimately prevent mortality. Modern respiratory care science has shown that proning can improve oxygenation of patients with ARDS. Planning and preparation for a viral respiratory health crisis require a strategy and system to prone patients effectively and safely. In this two-part chapter, perspectives are presented on respiratory therapy and proning during the pandemic. The experience of respiratory therapy at the SBH Health System during the COVID-19 crisis surge in Spring 2020 presents rich lessons to be learned about health crisis planning, preparation, and management with respect to respiratory therapy. © SBH Health System 2022.

Evaluating the Impact of Nutrition Support on Clinical Outcomes in Critically Ill Patients With COVID-19: A Retrospective Study

Background: Patients with COVID-19 experience prolonged ICU stays. The rate of malnutrition in hospitalized patients remains controversial as well as the appropriate nutrition therapy for these patients. The purpose of the study was to evaluate the impact of nutrition support on clinical outcomes in critically ill patients with COVID-19. Method(s): This was a retrospective chart review involving 48 adults, critically ill patients admitted with confirmed SARS-CoV-2 infection. Data extracted included demographic, anthropometric, medical history, biochemical tests, medications, nutrition support protocol, clinical outcomes, length of stay, and ventilator status. We tested associations between aspects of nutrition support (such as early versus delayed feeding, adequacy, and patient positioning) and clinical outcomes (ICU length of stay, weight status, malnutrition status, refeeding syndrome, and ventilator days) using Chi-square, and t-tests, with significance established at the level of p <= 0.05. Result(s): Thirty-eight percent (18) of the patients met the criteria for malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) tool. Approximately 83% of these patients did not have a documented diagnosis of malnutrition in the electronic medical record. More than half of the patients in the study (58.3%) were placed in prone position as part of their treatment and only 7% of these had documented signs of feeding intolerance. None of the patients were switched to total parenteral nutrition (TPN). Only 37% of the patients received adequate protein within the first week of nutrition support while 98% had adequate or exceeded caloric needs. There was no difference in percent weight loss among patients who received inadequate protein compared to those who had adequate protein. Inadequate protein intake was associated with shorter ICU stays (p = 0.04) and fewer ventilator days (p = 0.01) compared to those with adequate protein. Patients who received inadequate or exceeded their calories needs also had shorter ICU stays and fewer ventilator days (p > 0.05). In the context of this study, shorter ICU stays translated into fewer days of life, as 98% of the studied population died before ICU discharge. There were no associations between early nutrition support and selected biochemical parameters. Conclusion(s): The rate of malnutrition was remarkable and largely undocumented. Most patients did not meet the minimum estimated protein needs. Studies with larger sample sizes are needed to examine appropriate protein needs and the effect of nutrition support in patients with COVID-19. Diagnosing and documenting malnutrition warrants heightened attention.

Design of VISUAL SLAM indoor disinfection robot based on STM32 control

In recent years, the novel corona virus pandemic is raging around the world, and the safety of home environment and public environment has become the focus of people's attention [2]. Therefore, the research on disinfection robot has become one of the important directions in the field of machinery and artificial intelligence. This paper proposes a robot with the STM32 MCU as the core of disinfection, and is equipped with a variety of sensors and a camera vision, has the original cloud service management platform, the remote deployment of navigation, based on visual SLAM to realize high precision navigation and positioning, can realize to indoor environment autonomously route planning, automatic obstacle avoidance checking, disinfection, epidemic prevention function, at the same time can pass Bit computer software realizes remote control of robot, which has great development potential. © 2022 ACM.

Digital Inclusive Finance, Financing Constraints, and Technological Innovation of SMEs—Differences in the Effects of Financial Regulation and Government Subsidies

Deepening the development of digital inclusive finance, dredging the impact of digital inclusive finance on the innovation path of small and medium-sized enterprises (SMEs), and strengthening financial supervision and government support are of great significance to promoting the technological innovation of SMEs. This paper selects listed companies on the New Third Board as research samples and analyzes and empirically tests the relationship between digital inclusive financial and technological innovation of small and medium-sized enterprises. The results show that digital inclusive finance can significantly promote the technological innovation level of SMEs, especially the higher the degree of digitalization, the more obvious the promotion effect. Upon further testing, it was more pronounced in the sample of high-tech industries and eastern SMEs. Digital inclusive finance can effectively alleviate the financing constraints of SMEs, thereby promoting the technological innovation of SMEs. Reasonable financial supervision and adaptive government subsidies have a positive regulating effect on the innovation incentive effect of digital inclusive finance.

Seizing the COVID-19 Conjuncture: Re-positioning Higher Education Beyond the Pandemic

This chapter argues that, whilst the exact parameters of COVID-19-inspired futures remain unknown, the pandemic has accelerated various incipient trends and has heightened disruption and complexity, and many aspects of the status quo ante will change. The chapter contends that, for universities, the ultimate priority is not to cope with the short-term effects of the pandemic, but to think carefully of how to re-position for long-term resilience and to ensure readiness to meet the challenges of the twenty-first century. Accordingly, surviving and thriving in the post-pandemic environment calls for re-assessment, re-thinking and adapting strategy by universities. To this end, the chapter maps possible key pathways for re-thinking or adapting higher education strategy for a post-COVID-19 world, and identifies innovative response possibilities with regard to teaching and learning, research, sustainability, and societal impact. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Adoption of blockchain technology enabled healthcare sustainable supply chain to improve healthcare supply chain performance

PurposeThe COVID-19 pandemic has had a significant and worldwide influence on healthcare delivery, and it has significantly increased the pace at which digital technology is being used. Blockchain, one of these developing digital technologies, is distinguished by a number of properties. This study focuses on a blockchain-enabled healthcare supply chain. The purpose of this work is to investigate how blockchain technology (BCT) benefits the performance of healthcare supply chain management (HSCM).Design/methodology/approachThe present study is based on the empirical research. Blockchain Technology (BCT), Healthcare Sustainable Supply Chain Practices (HSSCP), Healthcare Supply Chain Performance (HSCP) and Stakeholders' Involvement (SI) practices are identified from the literature review and hypotheses are framed to check their interrelationship. For testing of hypothesis, a questionnaire was developed. Data collection was done by healthcare professionals via Google docs. The IBM SPSS version 22.0 was used to analyze the data and IBM SPSS AMOS 22.0 software was used for the development of structural modal. The data was collected through the Google form from the stakeholders of healthcare sector and analyzed through Structural Equation Modelling.FindingsThis research is focused on adoption of BCT enabled Healthcare Sustainable Supply Chain to improve HSCP. From the result, it had been found that BCT is positively effecting the stakeholder's involvement (SI) and HSSCP practices. Cumulatively, they positively impact the performance of HSCP. From this study, it is found that adoption of BCT enabled Healthcare Sustainable Supply Chain succours to combat COVID-19 situation.Originality/valueThis study attempts to show the potential benefits of the adoption of BCT enabled HSSCP to improve HSCP.

The impact of security oversight on air cargo price and demand

This paper examines the effect of security oversight on air cargo price and demand. We exploit variations in security oversight instituted by the International Civil Aviation Organization (ICAO). We estimate a simultaneous equation model using proprietary operations data from a major airline in South Korea over the period 2009–2013. This study explores the shipping-charge behavior of a service provider through a modeling approach that considers air cargo security. Our findings show that security oversight increases air cargo demand, controlling for the effect of price. Improving security measures increases the air cargo price, but the magnitude of this increase is small. Our results should help policymakers gauge the benefit of improved security and help airlines design an effective model to determine future air cargo shipping charges under high uncertainty to mitigate short- and long-term financial risks.

Autonomous Flight Using UWB-Based Positioning System with Optical Flow Sensors in a GPS-Denied Environment

This study presents the positioning method and autonomous flight of a quadrotor drone using ultra-wideband (UWB) communication and an optical flow sensor. UWB communication obtains the distance between multiple ground stations and a mobile station on a robot, and the position is calculated based on a multilateration method similar to global positioning system (GPS). The update rate of positioning using only UWB communication devices is slow;hence, we improved the update rate by combining the UWB and inertial measurement unit (IMU) sensor in the prior study. This study demonstrates the improvement of the positioning method and accuracy by sensor fusion of the UWB device, an IMU, and an optical flow sensor using the extended Kalman filter. The proposed method is validated by hovering and position control experiments and also realizes a sufficient rate and accuracy for autonomous flight.

Execution of Market Basket Analysis and Recommendation Systems in Physical Retail Stores to Advance Sales Revenues

In the early months of 2020, pandemic covid-19 hit many parts of the world. Especially developing countries like India observed a negative growth rate in few quarters of last financial year. Retailing is one of the key sectors that contribute to Indian GDP with a share of nearly 10 percent. Hence there is a need for the retail sector to bounce back which is possible with the efficient use of new digital technologies. Market basket analysis is used here to extract the association rules which can be directly used for formulating discount and combo offers. Along with that, these rules can be used to decide the product positioning in the retail store. Items which are bought together can be placed next to each other to increase sales. Recommendation systems are most commonly used in ecommerce websites like Amazon, Flipkart, etc, and streaming platforms like Netflix to recommend the items that are to be purchased by users. Although recommendation engines are implemented in multiple web and mobile applications, these are not in the implementation stage in offline retail stores due to many implications associated with them like infrastructure, cost, etc. In this project, we have used market basket analysis and recommendation systems to propose a model to implement in retail stores to increase sales revenues and enhance customer experience. © 2022 IEEE.