Path planning research for mobile robots in dynamic environments

At present, due to the COVID-19, China's social and economic development has slowed down. Some life service e-commerce platforms have successively launched "contactless delivery" services, which can effectively curb the spread of the epidemic. Robot distribution is the current mainstream, but robots are different from people and need to have accurate program settings. Both path planning and obstacle avoidance are currently top issues. This requires the mobile robot to successfully arrive at the destination while minimizing the impact on the surrounding environment and pedestrians, and avoiding encroachment on the movement space of pedestrians. Therefore, the mobile robot needs to be able to actively avoid moving pedestrians in a dynamic environment, in addition to avoiding static obstacles, and safely and efficiently integrate into the pedestrian movement environment. In this paper, the path planning problem of unmanned delivery robot is studied, and the path of mobile robot in the crowd is determined by global planning and local planning, and the matlab simulation is used for verification. © The Authors. Published under a Creative Commons Attribution CC-BY 3.0 License.

Effect of Distant Education on Children's Academic Achievement in Primary Schools During Corona Pandemic in Dubai Emirate- Field Study

This study aimed to examine the effect of distance education on the level of educational achievement of children during the Corona period in ten primary schools in the Emirate of Dubai. To achieve the objectives of the study the researchers adopted the descriptive analytical approach. The quantitative method of data collection had been applied using the electronic questionnaire tool consisted of four main axes for data collection and had been distributed to the study sample consisted of 190 students' parents and administrators selected by using simple random techniques. The results of the study indicated that the participation of students in the educational process, and in the establishment of appropriate educational programs and applications for the transmission to distance learning have contributed to reducing the negative effects of the process of shifting from traditional education / face-to-face education classroom teaching to virtual classroom (ZOOM).The study recommended the need for strengthening distance education mechanisms, which contribute in developing the student's interests, tendencies, attitudes, concentrating on the study material, and using of safe and secured electronic devices to increase the search for additional information to reach the correct knowledge. Also, the school administration should have good e-learning plan ahead with required financial credits that will help in overcoming the crisis and mange distance learning processes to reach future objectives successfully. © 2022 Owner/Author.

Telemedicine in the Era of Covid-19: Teleconsultation Architecture Platform

Teleconsultation is a type of medical practice similar to face-to-face consultations, and it allows a health professional to give a consultation remotely through information and communication technologies. In the context of the management of the coronavirus epidemic, the use of teleconsultation practices can facilitate healthcare access and limit the risk of avoidable propagation in medical cabinets. This paper presents the monitoring of international teleconsultation referrals in the era of Covid-19 to facilitate and prevent the suspension of access to care, the most common architecture for teleconsultation, communication technologies and protocols, vital body signals, video transmission, and the conduct of teleconsultation. The aim is to develop a teleconsultation platform to diagnose the patient in real time, transmit data from the remote location to the doctor, and provide a teleconsultation. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Understanding the Impact Mechanism of User Behavior Pattern toward Real Estate APP Platforms in the Post-COVID Era: A Quantitative Analysis

While technology factors are the main driver of the booming real estate APP platforms with important implications for user behavior pattern during and post-pandemic contexts, there is a lack of adequate research. In response, this study explores the user behavior pattern of real estate APP platforms to promote user mental health by taking the real estate APP platforms users as the participants based on theory of technology readiness and acceptance model. Data collected from offline surveys are analyzed using PLS-SEM. The results reveal the technology readiness index positively affects individuals' perceived usefulness and satisfaction, ultimately positively affects individuals' continuance intention with real estate APP platforms;satisfaction with real estate APP platforms mediated the relationship between technology readiness index, perceived ease of use, perceived usefulness, and individuals' continuance intention with real estate APP platforms. However, the group comparison finds no significant difference in user behavior patterns by gender. The contribution of this study is to reveal the influence mechanisms of digital technology on users' behavioral patterns toward real estate APP platforms, which can help guide the sustainable development of real estate APP platforms and promote user mental health and wellbeing in the post-COVID era.

Microbusinesses' challenges and perceptions in using social media during the COVID-19 crisis

COVID-19 struck the world by storm and has taken its victims along the way. It had also put the whole world on a temporary pause as people tried to manage the virus as best as possible. It has affected people all around the globe and had a huge impact on the global economy. This research will look into how microbusinesses have used social media in order to better face the challenges and changes that came due to the COVID-19 crisis while it will discuss how businesses' perceptions were altered along the way. In particular we are reviewing relevant academic literature surrounding microbusinesses and how they have been affected by COVID-19. The research methods used within this study, and the research results will be stated with reference to primary respondents. We have used a combination of secondary and primary research to develop further understanding of microbusinesses and the impact that COVID-19 has had on organizations in relation to the use of the internet and social media platforms. Limitations of the study will also be identified, and future research areas will be identified.

Digitized Entertainment - Factors influencing Consumer Adoption of OTT Platforms

People's way of consuming media changed tremendously with rapid technological improvements and increased internet penetration levels across India due to emergence of over-the-top media services (OTT) platforms. COVID-19 outbreak has tremendously increased the demand for OTT streaming channels like Netflix, Amazon prime, Zee 5, Alt Balaji and Disney Hotstar which transformed the world of entertainment and media by contributing mind blowing services during the lockdown period.This research paper is an attempt to study the shift in media consumption patterns from old ways of entertainment like cinema, television to new ways of entertainment like OTT platforms, study and analyze the consumer preference towards choice of OTT platforms, watching habits of online over the top (OTT) applications among Indian viewers. © 2023 IEEE.

Different Platforms, Immune Response Modulators and Challenges in SARS-CoV- 2 Vaccination

Vaccination is one of the most powerful measures to control infectious diseases. Nowadays, technical advances allowed the recognition of key aspects of pathogen -host interaction and the spread of such information, which was applied in vaccine development. The urge to control the COVID-19 pandemic resulted in vaccines development in record time, approximately 1 year after the emergence of SARS-CoV-2. The use of classic and innovative vaccine platforms and adjuvants was employed at several locations, by different groups. Here, we discuss how the pandemic scenario influences vaccine development, the implications of the route of immunization and adjuvant choice for vaccines, and the need to consider all these aspects in relation to the current scenario, also preparing ourselves to future pandemics. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Analyzing COVID-Related Social Discourse on Twitter using Emotion, Sentiment, Political Bias, Stance, Veracity and Conspiracy Theories

Online misinformation has become a major concern in recent years, and it has been further emphasized during the COVID-19 pandemic. Social media platforms, such as Twitter, can be serious vectors of misinformation online. In order to better understand the spread of these fake-news, lies, deceptions, and rumours, we analyze the correlations between the following textual features in tweets: emotion, sentiment, political bias, stance, veracity and conspiracy theories. We train several transformer-based classifiers from multiple datasets to detect these textual features and identify potential correlations using conditional distributions of the labels. Our results show that the online discourse regarding some topics, such as COVID-19 regulations or conspiracy theories, is highly controversial and reflects the actual U.S. political landscape. © 2023 ACM.

Perception and Attitude of First-Year Medical Students on Studying Human Anatomy Through Cadaver Dissection (Online Streaming)-A Survey Investigation

In medical colleges, cadaveric dissection is an effective anatomy teaching method. Cadaveric dissections put students at the center of learning and show structures in their natural environment. However, most students dislike autopsy dissection since it's tedious and time-consuming. Thus, our study examined first-year medical students' attitudes toward dissection to learn anatomy. After the semester, students received a 3-domain questionnaire on preparedness, attitude, and restrictions. All information was gathered and recorded anonymously using Google forms. Each domain has many questions that add up to a score that shows how well they are prepared and how far online learning can go. One hundred MBBS first-year students participated in online anatomy lessons. After online courses, consenting students completed Google feedback forms regarding their experiences, which were examined and quantified. One hundred students completed the questionnaire and provided comments. Online courses were the most fantastic method to study human anatomy in medical school, according to 97.2%. Only 32.8% of students were uneasy, utilizing visuals to illustrate the softer aspects. Students' emotions and attitudes during corpse dissection varied by gender. Online was more appealing to males than women. Students prefer online courses over image-based ones because of the flexibility of time management and seating configuration. The statistical analysis revealed significant gender-related inequalities in student opinions. Other medical students showed similar variances at various phases of the research. The online anatomy classes for AVMC&H medical students were easy and enjoyable and utilized the "steeplechase" method. Our study shows the pros and cons of online education. Trainers/instructors should examine using online live forms as an instructional tool in anatomy training and generate new anatomy-related films for formal live teaching in the medical curriculum to accomplish this goal. However, additional study is needed to determine how much online education affects student learning and training.

EXPERIENCES IN THE DISTANCE LEARNING TEACHING PROCESS IN ENGINEERING THROUGH VIRTUAL CLASSROOMS DURING THE COVID-19

The effects of the COVID 19 pandemic led Cuban Higher Education to take emerging measures to continue the teaching-learning process. Consequently, the undergraduate courses had to rethink the curricular designs according to the existing possibilities. The change to the distance learning modality constituted an enormous challenge for university education, with an emphasis on engineering education where students must acquire a set of skills, abilities and attitudes that allow them to fulfill their social responsibilities in the exercise of the profession. The Faculty of Electrical Engineering of the Universidad Central "Marta Abreu” de Las Villas takes on the challenge and begins to design courses on the Moodle platform and re-design the existing ones according to the new study modality, which led to the need to seek a common structure for those designs so that students would quickly become familiar with them. In this paper, the experiences in the design of virtual classrooms for engineering education are presented and the teaching results obtained by the students and their satisfaction with the contents received in two distance-taught course are discussed. © 2023, University of Cienfuegos, Carlos Rafael Rodriguez. All rights reserved.

Mining association rules for classification using frequent generator itemsets in arules package

Mining frequent itemsets is an attractive research activity in data mining whose main aim is to provide useful relationships among data. Consequently, several open-source development platforms are continuously developed to facilitate the users' exploitation of new data mining tasks. Among these platforms, the R language is one of the most popular tools. In this paper, we propose an extension of arules package by adding the option of mining frequent generator itemsets. We discuss in detail how generators can be used for a classification task through an application example in relation with COVID-19.

COVID-VTS: Fact Extraction and Verification on Short Video Platforms

We introduce a new benchmark, COVID-VTS, for fact-checking multi-modal information involving short-duration videos with COVID19-focused information from both the real world and machine generation. We propose, TwtrDetective, an effective model incorporating cross-media consistency checking to detect token-level malicious tampering in different modalities, and generate explanations. Due to the scarcity of training data, we also develop an efficient and scalable approach to automatically generate misleading video posts by event manipulation or adversarial matching. We investigate several state-of-the-art models and demonstrate the superiority of TwtrDetective. © 2023 Association for Computational Linguistics.

Forecasting COVID-19 Vaccination Rates using Social Media Data

The COVID-19 pandemic has had a profound impact on the global community, and vaccination has been recognized as a crucial intervention. To gain insight into public perceptions of COVID-19 vaccines, survey studies and the analysis of social media platforms have been conducted. However, existing methods lack consideration of individual vaccination intentions or status and the relationship between public perceptions and actual vaccine uptake. To address these limitations, this study proposes a text classification approach to identify tweets indicating a user's intent or status on vaccination. A comparative analysis between the proportions of tweets from different categories and real-world vaccination data reveals notable alignment, suggesting that tweets may serve as a precursor to actual vaccination status. Further, regression analysis and time series forecasting were performed to explore the potential of tweet data, demonstrating the significance of incorporating tweet data in predicting future vaccination status. Finally, clustering was applied to the tweet sets with positive and negative labels to gain insights into underlying focuses of each stance. © 2023 ACM.

Pandemic techno-politics in the global South

Brazil has been standing out as one of the worst places on Earth to be during a global health crisis, especially for those whose struggle for basic humanitarian rights is already routine. How do the political environment and historical inequalities in countries like Brazil affect the ways in which public policy and technologies are framed as responses for the pandemic crisis? In this paper we aim to present the sequence of actions and omissions in the fight against sars-cov2 in Brazil, concentrating on measures based on the use of digital technologies and the sociotechnical arrangements unfolding in materialities that give shape to such measures. We will also discuss possible repercussions of the widespread adoption of surveillance technologies as a quick fix to the effects of the pandemic. Our focus is to explain how the materiality of the virus and its political as well as territorial effects are combined with digital technologies as responses (or lack of them) in the fields of healthcare, education, communication and labour in the context of the global South. [ FROM AUTHOR] Copyright of Information Polity: The International Journal of Government & Democracy in the Information Age is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

An Empirical Analysis of the Dimension of Loyalty to Determine Customer Retention for E-Commerce

COVID-19 has fostered the growth and transformation of digital media in every aspect, importantly in the area of electronic commerce. During these days, many new practices inhabiting in human behaviour bring new norms for the marketers. Use of online shopping has increased incrementally due to the government advisory, changing consumer buying behaviour as well. An amalgamation of the old and new medium of selling goods and services are now bringing new business challenges post pandemic for the marketer, and customer retention is one of them. Henceforth, there is a dearth of studies addressing the impact of dimension of loyalty (behaviour/ attitude) on customer retention in online shopping platforms post pandemic. This study considers post pandemic as the context of research to determine the impact of behavioural and attitudinal loyalty on customer retention for the online shopping platforms. Further research also aims to determine whether the brand image plays a critical role in mediating the relationship between dimensions (Behavioural/ Attitudinal) of loyalty and customer retention for online shopping platforms or not? In the research, primary data represent the respondent from Delhi NCR. The author applied linear regression to validate the research idea. The findings indicate that attitudinal loyalty significantly enforces customer retention over behavioural loyalty. Also, brand image mediates the impact of attitudinal loyalty on retention. © 2023 SAGE Publications.

Need for Vision: A data-centric approach towards analysing impact of COVID-19

From the beginning of 2020, we saw a rise of a new virus called the Coronavirus and ultimately a pandemic that anyone reading this paper must have been through. With the rise of COVID,many vaccines were found, the global vaccination drive as a result of this naturally fueled a possibility of Pro-Vaxxers and Anti-Vaxxers strongly expressing their support and concerns regarding the vaccines on social media platforms and along with this came up the need of quick identification of people who are experiencing COVID-19 symptoms. So in this paper, an effort has been made to facilitate the understanding of all these complications and help the concerned authorities. With the help of data in the form of Covid-19 tweets, a (machine-learning) classifier has been built which can classify users as per their vaccine related stance and also classify users who have reported their symptoms through tweets. © FIRE 2022: Forum for Information Retrieval Evaluation.

Coronavirus Label-Free Immunosensor: Preliminary Results

Real-time detection of airborne infection agents present in human breath and environmental airways, such as the human respiratory Coronavirus, is important for public health. For this, a model label-free immunosensor, based on multi-walled nanotubes (MWNT)-based screen-printed graphite electrodes (SPEs), was proposed and studied. For sensing applications, MWNTs have many advantages such as small size with larger surface area, excellent electron transfer promoting ability when used for antibody immobilization, with retention of its selectivity for potential immunosensors development. In order to verify the selectivity of the selected primary antibody (anti-CoV 229E antibody) and the effective immunocomplex formation (antigen-antibody), an in-depth voltammetric characterization of MWNT-SPEs interface was carried out during the multistep fabrication of CoV immunosensor using [Fe(CN)6]3−/4− as an electroactive probe.After that, the analytical robustness of the performances of these immunosensing platforms was estimated and verified. Indeed, a nanomolar range detection limit (180 TCID50/mL)g/mL) with excellent reproducibility (RSD% = 8%) was obtained. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

The teaching practices in History mediated by virtual platforms in the context of Social, Preventive and Compulsory Isolation during the 2020 school year. Case study

This research is mainly focused on a didactic approach, approached from the perspective of critical theory, taking into account the global context due to Covid-19. Specifically, it tries to answer the question: How does the context of social, preventive and compulsory isolation (ASPO) affect the use of virtual platforms for the development of teaching practices in the curricular space of Historia in the Ciclo Básico Común of the Escuela Normal Superior "Mariano Moreno" in Concepción del Uruguay, Entre Ríos? The main assumption that we pursue is: the dispensability of virtual platforms as mediators for the development of teaching practices in History and the non-predominance of virtuality. © 2022 Seccion Historia. Instituto Superior del Profesorado 'Eduardo Lafferriere'. All rights reserved.

Business strategies of video platforms in Argentina for access to digital content in pandemic (2020-2021).

The article studies the strategies adopted by four video streaming providers to promote access and circulation of digital audiovisual content in the context of the COVID-19 pandemic in Argentina between 2020-2021. Based on the core model, type of ownership and origin, the cases are: the public platform Cine.ar;the national platform Flow;and the transnational platforms Movistar TV and Netflix. The areas of analysis are: measures adopted by the providers for access to content;production activities in the country;relationship with other agents of the communications industry;and impact on the business. (English) [ FROM AUTHOR] El artículo estudia las estrategias adoptadas por cuatro proveedores de streaming de video para promover el acceso y circulación a contenidos audiovisuales digitales en el contexto de pandemia de COVID-19 en Argentina entre 2020-2021. Atendiendo a la representatividad de modelo central, tipo gestión y origen, los casos son: la plataforma pública Cine.ar;la nacional, Flow;y las transnacionales, Movistar TV y Netflix. Los ejes de análisis son: medidas adoptadas por los proveedores para el acceso a contenidos;actividades de producción en el país;relación con otros agentes de la industria de comunicaciones;e impacto en el negocio. (Spanish) [ FROM AUTHOR] Copyright of Zer: Journal of Communication Studies / Revista de Estudios de Comunicacion / Komunikazio Ikasketen Aldizkaria is the property of Universidad del Pais Vasco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

COVID-19 vaccine stance classification from tweets

Since the discovery and betterment of vaccines for human diseases, Anti-Vaccine rhetoric and resistance have been prevalent in social circles. These sentiments adversely affect the effectiveness of preventing the contraction of deadly contagious diseases, such as COVID-19. With the advent of social media platforms, the expression of anti-vaccine stances has a far greater reach in society. In this paper, we tackle the task of COVID-19 vaccine stance detection to gauge people's receptiveness towards vaccines and subsequently understand the effectiveness of the vaccination drives. © 2021 Copyright for this paper by its authors.