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The fashion industry has been accused of being the second largest environmental polluter in the world. Millions of tons of post-consumer waste are dumped in landfills and garbage disposal sites each year. However, environmental concerns are emerging as a mainstream issue among modern-day consumers. This critical problem has prompted fashion retailers and brands to embrace sustainable practices to address consumers’ environmental concerns by reducing pollution. Given this background, this research aims to understand consumer’s perceptions of value towards second-hand fashion consumption in the context of Sri Lanka.

This exploratory study uses a qualitative approach to understand consumers’ perceptions of value towards second-hand fashion consumption.

This research uses the theoretical model of the means-end chain model and shows five consumer’s values of second-hand consumers: price-consciousness, consciousness on emotional bonds, comfortability consciousness, quality and brand consciousness and social and environmental consciousness. Furthermore, the authors show non-second-hand fashion consumers’ values as social status consciousness, hygienic consciousness, comfortability consciousness, quality and brand consciousness and self-expressive consciousness.

This research sheds some light on the emerging knowledge of second-hand consumption. This research further points out certain practical implications by drawing attention to a few opportunities and challenges associated with the second-hand fashion business within the Sri Lankan fashion retail sector, in particular when launching new fashion brands catering to second-hand fashion consumers.

The purpose of this study was to find the key face mask features using Kano model in combination with a hierarchical cluster analysis based on customer satisfaction (CS) and preference.

This study used 171 responses collected from a self-administrated online survey with convenience sampling where respondents were asked about 16 different features of face masks.

The study revealed that, among 6 Kano categories, 15 features were categorized as “one dimensional” and only the high price fell under the “reverse” category but all features were not equally weighted by customers. The result also showed viral protection and comfortability were the most desired features by customers regardless of its price and the “color matching” feature can act both as “one dimension” and as “attractive” feature.

This study will help face mask producers to drive their resources towards those features which customers value more by showing how to prioritize features even if they fall under the same category.

This study used customer satisfaction and dissatisfaction index along with an unsupervised machine learning tool to improve features classification based on Kano model. The findings of this study can be used to formulate future research studies.

The purpose of the study is to comprehend medical service quality, information quality and system quality toward actual use of Tele-Health in rural India. The study further validates the impact of the actual use of Tele-Health on sustainable development, thus providing implications to improve upon the Tele-Health penetration in India.

Data was collected from 326 healthcare practitioners practicing Tele-Health in North Indian states and Structural Equation Modeling was applied to validate the conceptual framework.

The results indicated that medical service quality, information quality and system quality influence Tele-Health behavioral intentions which in turn impact actual use and sustainable development. This research draws upon a conceptual framework to deepen our understanding of Tele-Health by providing an all-inclusive overview.

The massive topography of India with a prime rural populace instills the need for timely healthcare facilities. Tele-Health is a solution to all these problems but is at a nascent stage. Therefore, there is a vital need to study the factors which improve the penetration of Tele-Health in the Indian context. The model that emerged from the study may be validated by other Indian sub-continental countries so that Tele-Health may be implemented hassle-free.

This study investigates restaurant patrons' comfort level with the sudden shift in the dining-in climate within the state of Massachusetts during the onset of the COVID-19 pandemic.

An exploratory study utilized learning algorithms via gradient boosting techniques on surveyed restaurant patrons to identify which restaurant operational attributes and patron demographics predict in-dining comfort levels.

Past consumers' eating habits determine how much their behavior will change during a pandemic. However, their dining-in frequency is not a predictor of their post-pandemic dining-in outlook. The individuals who were more comfortable dining in prior to the pandemic dined in more often during the COVID pandemic. However, they had a poorer outlook on when dining in would return to normal. Although there are no clear indicators of when and how customers will embrace the new norm (a combination of pre-, peri-, and post-pandemic), the results show that some innovative approaches, such as limiting service offerings, are not well accepted by customers.

The study offers several managerial implications for foodservice providers (i.e. restaurants, delivery services, pick-up) and investors. In particular, the study provides insights into the cognitive factors that determine diners' behavioral change in response to a pandemic and their comfort level. Operators must pay attention to these factors and consider different offering strategies when preparing to operate their business amid a pandemic.

This is a study of a specific location and period. It was conducted in Massachusetts before a vaccine was available. The restaurant industry was beset with uncertainty. It fills a gap in the current literature focused on the COVID-19 pandemic in customers' transition from pre-COVID-19 dining-in behaviors to customers' refreshed COVID-19 outlook and industry compliance with newly established hygiene and safety standards.

Carpal tunnel syndrome (CTS) is a hand disease caused by the pressing of the median nerve present in the palmar side of the wrist. It causes severe pain in the wrist, triggering disturbance during sleep. Different products like splints, braces and gloves are available in the market to alleviate this disease but there was still a need to improve the wearability, comfort and cost of the product. This study was about designing a comfortable and cost-effective wearable system for mild-to-moderate CTS. Transcutaneous electrical nerve stimulation (TENS) therapy has been used to reduce the pain in the wrist.

After simulation by using Proteus software (which allowed the researchers to draw and simulate electrical circuits using ISIS, ARES and PCB design tools virtually), the circuit with optimum frequency, i.e. 33 Hz was selected, and the circuit was developed on a printed circuit board (PCB). The developed circuit was integrated successfully into the half glove structure.

The developed product had good thermophysiological comfort and hand properties as compared to the commercially available product of the same kind. In vivo testing (It involves the testing with living subjects like animals, plants or human beings) was performed which resulted in 85% confirmed viability of the product against CTS. A glove with an integrated circuit was developed successfully to accommodate various sizes without any sex specifications in a cost-effective way to mitigate the issue of CTS.

Industrial workers, individuals frequently using their hands or those diagnosed with CTS may wish to use this product as therapy. The attention could not be paid to the aesthetic or visual appeal of the developed product.

A very comfortable glove with integrated TENS electrodes was developed successfully to accommodate various sizes without any sex specifications in a cost-effective way to mitigate the issues of CTS.

This paper aims to bring in augmented reality (AR) into navigation systems to rectify the issues mentioned. This paper proposes an AR enhanced navigation system for location automated teller machine (ATM) counters (AR-ATM) and branches of banks based on user’s choice. Upon selecting the ATM, the navigational path to the destination is drawn from the current location, thereby the user can reach the ATM through the optimal path.

Traditional navigation systems require users to map with the real world environment as and when required and also may lead to incorrect path due to minor difference in distance. The traditional navigation systems’ also does not take into consideration the ergonomics and safety of the user.

In this system, a camera lens is used, which is directed down the street at eye level and the application displays the location of ATMs and bank branches and also provides information about the locations like distance and time through the AR superimposed object.

The application also provides indoor navigation, especially in a multi-storeyed building. Experiments are performed on smartphones that support AR, and the results are promising with no lag in time frame of the real object and virtual object. To determine the factors that regulate the suggested AR tracking mechanism, a quantitative evaluation of the experimental data is also performed. The testing of implemented AR-ATM from the standpoint of end-users is undertaken to evaluate real-time usage comfortability, and the results have been determined to be extremely satisfactory.

This research aims to investigate the influence of building design on the thermal comfort of occupants of naturally ventilated hospital (NVH) wards to identify the aspects with the most significant influence on the thermal comfort of hospital buildings during the hot-dry season in the hot-humid tropics of Southeast Nigeria.

Field measurements, physical observations and a questionnaire survey of 60 occupants of the wards of the Joint Presbyterian Hospital, Uburu in Ebonyi State, Nigeria were undertaken. The data were analysed using Humphreys' neutral temperature formula, descriptive statistics and multiple regression analysis.

The results revealed that the neutral temperature for the wards ranges from 26.2 °C to 29.9 °C, the thermal condition in the wards was not comfortable because it failed to meet the ASHRAE Standard 55 as only 65% of the occupants said the thermal condition was acceptable. The number and sizes of windows, building orientation, the presence of high-level windows and higher headroom significantly influenced the occupants' thermal comfort vote.

This research is valuable in estimating comfort temperature and identifying aspects that require attention in enhancing the capacity of NVH wards to effectively meet the thermal comfort needs of occupants in the hot-humid tropics of Southeast Nigeria and other regions that share similar climatic conditions.

To the best of the authors’ knowledge, this is the first study of this nature that provides valuable feedback for building design professionals on the performance of existing hospital buildings in meeting users' thermal comfort needs in the hot-dry season of the hot-humid tropics in Southeast Nigeria.

This study aims to explore three methods of soliciting student-to-teacher feedback in a tenth-grade English classroom.

The foundational inquiry asks what type of instructions – sentence stems, open-response or directed-response – yields the most honest and actionable responses when soliciting feedback. The data were coded for the presence and quality of constructive feedback and rationales, and their content was examined for classroom implications relating to the inclusion of student voice writ large.

The three sets of anonymous responses, each prompted by one of the types of instructions named above, suggested four trends irrespective of solicitation style: students were unlikely to critique their teacher; students seldom provided a rationale for their comments; students often spoke more about the personal rather than academic nature of their experiences; and students often addressed the class environment and the class collective as integral to their learning experiences.

These trends encouraged six considerations in the practice of including student voice in the author’s own classroom and beyond: we must validate student critique, co-define concepts that are central to effective feedback, time invitations thoughtfully, create a constant feedback loop rather than isolated collections, invite feedback practices that are collaborative among students and let go of singular notions of student voice.

Computer-assisted language learning (CALL) can create participatory cultures by removing barriers to access materials, encouraging student modes of expression, differentiating student interactions through digital environments and increasing learner autonomy. Participatory cultures require competencies or new media literacy (NML) skills to be successful in a digital world. However, professional development (PD) often lacks training on CALL and its implementation to develop such skills. The purpose of this study is to describe teachers use of digital tools for multilingual learners through a relevant theoretical perspective.

This design-based research study examines 30 in-service teachers in South Carolina, a destination state for Latinx immigrants, focusing data over three semesters of PD: interviews and instructional logs. The researchers address the question: How are teachers using digital tools to advance NML for multilingual learners (MLs)?

The authors analyzed current elementary teachers’ use of digital tools for language learning and NML purposes. Three themes are discussed: NMLs and digital literacy boundaries, digital tools for MLs and literacy teaching for MLs and NML skills.

Teacher PD often needs more specificity regarding the intersection of MLs and digital literacy. The authors contribute to the literature on needed elementary teaching practices for MLs, the integration of NML and how these practices may be addressed through PD.

Nowadays, textiles play a striking role in various medical applications. Compression bandages are the most essential medical fabrics that help treat venous flow and edema. This study aims to investigate the characteristics of different woven compressive bandage structures produced using compact cotton and cotton/lycra.

Four samples were weaved by matt-plain2/2, twill2/2, stripe-stain4 and mock-leno structures. Several properties were tested that related to structural performance. Tensile strength, elastic and sub-bandage pressure are considered the main functional properties. Three different analysis tools were performed: chart-diagram, one-factor ANOVA and radar chart area.

The woven structures critically affected the performance of woven compression bandage samples as well as their classifications.

The woven structures critically affected the performance of woven compression bandage samples as well as their classifications.