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Biofeedback is used for regulating vestibular adaptation and balance by providing real-time stimulus to the individual during physical activities. This study aimed at (1) developing a wearable device, which tracks balance, counts the number and the direction of balance losses and provides haptic biofeedback through real-time vibration stimulus (2) investigating device efficacy on an adolescent medulloblastoma patient during static and dynamic tasks.

A 16-year-old medulloblastoma patient used the device during 10-m walking and single-leg stance tests. The knee joint kinematics and the number and direction of balance losses were recorded for “with” and “without” biofeedback conditions.

The device helped regulate the knee joint kinematics and reduce the number of balance losses of the medulloblastoma patient. The knee joint movement pattern similarity of the control subject was highly correlated (R² = 0.997, RMSE = 1.232). Conversely, medulloblastoma patient knee joint movement pattern similarity was relatively weak (R² = 0.359, RMSE = 18.6) when “with” and “without” biofeedback conditions were compared. The number of balance losses decreased when the medulloblastoma patient was guided with biofeedback.

The major limitation of this pilot study is the lack of a large and homogeneous number of participants. The medulloblastoma patient used the device while walking after she was given enough time to get used to the tactile biological feedback, so the long-term effect of the device and biofeedback guidance were not investigated. Additionally, the potential desensitization with prolonged use of the device was not evaluated.

Biofeedback reduced the number of balance losses; additionally, the knee joint movement pattern was regulated during static and dynamic tasks. This device can be integrated into the physical therapy of patients with balance, vestibular and postural control impairments.

This is compact and has an easy-to-wear design, patients, who have balance and postural control impairments, can practically use the device during their activities of daily living.

The device promotes physical activity adaptation and regulates gait through continuous and real-time balance control. Its design makes it simple for the user to wear it beneath clothing while using the sensor.

Healthcare systems receive criticism from both providers and recipients. The diversity in these systems throughout the world makes innovation and change difficult. However, a structured analysis of healthcare systems is crucial to identify areas for improvement and to share best practices for the betterment of healthcare throughout the world.

The paper uses organizational theory as an unbiased tool for evaluating healthcare systems. This theory analyses healthcare systems across five dimensions: environment, culture, social structure, physical structure and technology. This analysis provides an in-depth understanding of the organization's surroundings, formation and function. It offers a lens through which healthcare systems can be envisioned and establishes a vocabulary for communication.

Organizational theory presents a multifaceted approach to initiate assessments aiming to enhance existing healthcare systems and customize them to serve all stakeholders within the focused ecosystem. It alters the dynamics of criticism and presents an opportunity to sustainably address unforeseen healthcare challenges in the future. As the author proceeds to understand healthcare organizations through the perspective of organizational theory, the author also uncovers subtle yet crucial issues such as resource dependence, cultural clashes, organizational silence, bureaucracy, hierarchy, ethics, values, engagement and burnout.

This paper was crafted from a collaborative paper for the final of a master's degree. A collaboration was conceptualized using organisation theory as the tool to align processes and achieve successful outcome. The narrative of the collaboration has been edited and paper presented highlighting the importance of the tool of organisation theory in healthcare systems.

Through this study, four different types of woven fabric structures were created by using cotton/banana blends with a 70:30 ratio by varying the weaving specifications. This study aims to investigate the comfort and mechanical properties of these woven materials.

Taguchi L16 experimental design (5 factors and 4 levels) with response surface methodology tool was used to optimize mechanical and comfort characteristics. The yarn samples used in this study are cotton/banana with a blend ratio of 70:30. Fabric type (A), grams per square metre (GSM; B), yarn count (C), fabric thickness (D) and cloth cover factor (E) are the chosen process characteristics.

The highest tensile strength and tearing strength of the cotton/banana blended fabric samples were obtained as 326.3 N and 90.3 k.gf/cm, respectively. Similarly, the highest thermal conductivity and overall moisture management capacity values were found to be 0.6628 and 3.06 W/mK X10⁻⁴, respectively. The optimized process parameters for obtaining maximum mechanical properties were using canvas fabric structure, 182 GSM, 36^s Ne yarn count, 0.48 mm fabric thickness and 23.5 cloth cover factor. Similarly, the optimized process parameters for obtaining maximum comfort properties were achieved using a twill fabric structure, 182 GSM, 32^s Ne yarn count, 0.4 mm fabric thickness and 23 cloth cover factor.

In contrast to synthetic fabrics, banana fibre and its blended materials are significant ecological solutions for apparel and functional clothing. Products made from banana fibre are a sustainable and green alternative to conventional fabrics. Banana fibre obtained from the pseudostem of the plant has an appearance similar to ramie and bamboo fibres. Numerous studies showed that banana fibre could absorb significant moisture and be spun into yarn through ring and rotor spinning technology. On the other hand, this fibre can be easily combined with cotton, jute, wool and synthetic fibre. The present utilization of pseudostem of banana plant fibre is very minimal. This type of research improves the usability of bananas their blended fabrics as apparel and functional wear.

The study aims to develop an integrated model for three-dimensional (3D) printing adoption in the Gulf Cooperation Council (GCC) context to form a baseline for more theoretical and empirical debate from emerging markets.

A qualitative approach with a convenience sample is adopted since there is no formal body that has accurate data about the number of companies, governmental bodies, nongovernmental organizations, universities, labs, etc. that already have adopted 3D printing.

The results indicate that the technological usefulness of 3D printing and its ease-of-use factor were found to be lacking among community members and governmental officials. Yet, these factors were the most influential factor affecting the spread of 3D printing technology adoption in the GCC countries. Nevertheless, the adaptation of 3D printing is not yet at the level of its global markets, nor is it used within leading companies’ assembly lines. In addition, the 3D printing awareness and use increased during the COVID-19 pandemic. Yet, the adaptation rate is still below expectations due to several challenges that face the growth of the 3D printing market in the GCC countries. The most vital challenge facing 3D printing growth is manifested in governmental policies and regulations.

Companies’ managers can benefit from the current study results by focusing on the factors that facilitate 3D adoption and avoiding bottle-neck factors that hinder the speed of the 3D adoption. 3D providers can also benefit by understanding the factors that affect 3D adoption and designing their machine and marketing strategy in a way that helps the intended companies to easily adopt 3D printing.

To the best of the authors’ knowledge, this is the first study that explored 3D printing adoption on the GCC countries’ level. It also adds a new flavor to the literature by exploring 3D adoption during the COVID-19 crisis.

This paper’s aim is to inspect the influence of trust, motivation and rewards on knowledge-sharing attitudes among secondary and higher secondary students in Bangladesh.

A sample of 200 Bangladeshi students from secondary and higher secondary-level educational institutions in Dhaka city participated in this study. Data were analysed using exploratory factor analysis followed by confirmatory factor analysis and structural equation modelling techniques.

The findings suggested that trust variables play a significant role in encouraging knowledge-sharing behaviour among the students.

This research also provides a guideline to teachers and policymakers on enhancing a knowledge-sharing environment among secondary and higher secondary-level students.

This paper is a pioneer in understanding knowledge-sharing patterns among secondary and higher secondary students in a developing country such as Bangladesh.

Generative pretrained transformers (GPTs), soaring to one million users at lightning speed, outpaced social media giants (15 times faster) (Buchholz, 2023). Despite this, scant research explored GPT’s impact on the digital entrepreneurial intentions (EIs) of students and tech-savvy generations. This study aims to pioneer a fusion of the technology acceptance model (TAM) and the theory of planned behavior (TPB), bridging the gap in research.

In this bold quantitative quest, business administration students became fearless participants, engaging in a survey of profound significance. Guided by the mighty powers of G*Power and Stata’s structural equation modeling builder, the intricate relationships within a robust sample of (n = 400) were unraveled.

The mediating power of GPT usefulness and GPT ease of use part of the TAM emerges, paving the way for a future brimming with digital entrepreneurship (DE) boundless possibilities. Predictably, the study found that TPB constructs also affect the EI of students.

This groundbreaking study brings together the powerful combination of TAM and TPB, while pioneering the exploration of GPT models’ mediating role. Its findings offer invaluable contributions to the field of DE and policymakers.

This study aims to systematically review the health risk assessment of the concentration of heavy metals in Pistacia species globally.

The authors systematically searched PubMed, Science Direct, Scopus and Google Scholar to identify all articles published between 1 January 2002 and 20 August 2022. A total of 33 studies met the authors’ inclusion criteria, and their data were extracted. Additionally, the potential risk to human health was assessed by calculating the target hazard quotient and hazard index for both child and adult consumers.

The estimated daily intake for heavy metals in the included studies ranged from 9.72 × 10^–9 to 7.35 (mg/day) in the following order: zinc (Zn) > mercury (Hg) > iron (Fe) > lead (Pb) > copper (Cu) > aluminum (Al) > nickel (Ni) > chromium (Cr) > manganese (Mn) > cadmium (Cd) > arsenic (As) > selenium (Se) > cobalt (Co). Among the studies that investigated heavy metals in Pistacia species around the world, the non-carcinogenic risk for all species of Pistacia was determined to be less than 1, except for Pb and Hg in Pistacia lentiscus.

The soil near the industrial area contained excessive amounts of heavy metals, which led to the transfer of heavy metals to plants. Owing to the insufficiency of the number of studies that examined heavy metals in Pistacia species, further monitoring and investigations were recommended.

The purpose of the research is to identify the various factors affecting bread wastage and bread consumption of consumers in Isparta, Turkey.

This study uses the categorical regression (CATREG) model to estimate the driving forces of bread waste and consumption. The study concentrates on data obtained from 384 respondents speaking for the same number of households placed in the province of Isparta in Turkey.

The results indicate that both models are statistically significant at the 1% level. Parents' profession, storage method, type of bread consumed, daily bread expenditure, monthly income and the idea of “bread is cheap” are the most important variables affecting bread wastage. Regarding bread consumption, parents' profession, fathers' education level, monthly income, inadequate control in bakeries, household size and the idea of “bread makes people fat” are found to play significant roles.

The results could be helpful to develop influential policies on healthy eating and aiming plans to reduce bread consumption to healthy levels and prevent bread waste.

This research contributes to knowledge regarding the underlying causes of the bread consumption and wastage of Turkish consumers in the light of the data analysis for Isparta province.

This paper contains unique and original understandings concerning bread consumption and wastage attitudes and determinants for consumers from Isparta, Turkey. The novel findings of this research have conduced to a better understanding of the key factors that affect bread consumption and waste. The paper also applies an econometric analysis using a CATREG model to analyse the factors influencing consumers' bread waste and consumption behaviour in Isparta province, Turkey.