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This research aims to assess and compare project-based learning (PBL) designs to deliver technopreneur in higher education, as a case student of the Industrial Engineering Department. So, it can facilitate students who play a role in facilitating the process of technological transformation so the student knows well how to solve the problem of commercialization.

Undergraduate students of Industrial Engineering teams were given hands-on, collaborative projects conducted with two incubation centers, such as the Technology Incubator Center from the Agency for the Assessment and Application of Technology (AAAT) from the government of Indonesia and the Centre of Excellence for Electrical Energy Storage Technology (CEfEEST) from Sebelas Maret University (UNS), Indonesia. After completing the project, students will develop a final project which will become the basis for evaluating the implementation of PBL. The basis for the assessment uses a rubric designed through three sub-assessments: curriculum planning, report and presentation. This research uses the paired t-test method to see the average difference between the two groups of PBL in pairs and compare based on assessment results.

Implementing PBL between the two incubation centers (AAAT and CEfEEST) based on paired t-tests for each rubric assessment indicator showed most of them were significantly related. The assessment result gives the alternative to design the proposed PBL from AAAT, CEfEEST and a blended scenario for technopreneur education in the future.

The experiences and findings presented can help future PBLs provide technopreneur education based on comparing and evaluating learning outcomes in both incubation centers. Thus, it can produce a better PBL design to encourage the success of technology commercialization.

The assessment of PBL on students' knowledge in technopreneur education by utilizing the paired t-test method to compare the assessment results of the final projects with the designed assessment rubric. This evaluation serves as the basis for comparing the effectiveness of PBL implementation between AAAT and CEfEEST.

The objective of this paper is to study the efficacy of the ASPECTSS Design Index's concepts as drivers of design intervention for educational environments for students on the autism spectrum. Based on the seven principles of acoustics, spatial sequencing, escape spaces, compartmentalization, transitions, sensory zoning and safety, ASPECTSS formed the basis for a preliminary post-occupancy evaluation (POE) and survey of an existing school environment.

Concepts drawn from the review of other strategies for autism spectrum disorder (ASD) friendly design were integrated with the seven ASPECTSS principles to create a design framework and consequent design retro-fit for a Pre-K-12th grade public school for students on the autism spectrum. The following design interventions were proposed: colour-coding based navigation; acoustical treatments in key circulation spaces; introduction of transition alcoves; classroom reorganisation using compartmentalization principles and the introduction of escape spaces for de-escalation. Specifically, a classroom template of modules of ASPECTSS-compliant layouts was provided to all staff. The efficacy and impact of these interventions were assessed using a whole campus online staff survey with further probing using classroom observations and subsequent interviews.

The results show alignment between the implementation of the ASPECTSS informed design interventions and responses to nine of the Likert scale items were all significantly lower than the middle response, indicating a high degree of satisfaction from survey respondents. These questions and responses related to the colour scheme facilitating ease of navigation for visitors of the school, the acoustics of the building successfully mitigating sound magnification and subsequently student distractibility, the organisation of the classrooms enhancing learning and the de-escalation zones allowing improved management of disruptive behaviours in the classroom.

This study focuses primarily on the Autism ASPECTSS Design Index as a framework for assessing classroom efficacy. Other tools and frameworks may produce different insights. A single school site was studied. Validation of these findings in other school environments is necessary before generalising these strategies at scale. The use of qualitative tools, primarily teacher and staff surveys, provides one lens into the efficacy of these design strategies. Further research using measurable biometric indicators such as heart-rate and stress levels measured through wearable technology could provide a first step towards the triangulation of these findings.

These findings could help provide more standardised best practices for designing learning environments for autism, potentially providing supportive strategies with real impact on learning quality, skill development and knowledge acquisition in school environments. This could potentially have economic implications by supporting more efficient progress for autistic students through their school curriculum.

Similar to economic impact, if validated and generalised, these findings could help with sense of accomplishment, general mental health improvement, alleviation of family stress and potential reduction of stigma in the autism community.

There is a slowly emerging field of design guidance for autism schools, but very little empirical evidence on the measurable efficacy of these strategies. This research provides one type of such evidence, as measured by the perceived impact from the point of view of staff and teachers at the school.

In the present era, digital technology can be used responsibly to provide developed and developing countries with high-quality health-care services to nations. This study aims to explore Saudi Arabia’s intentions to adopt digital health-care practices.

To be consistent with previous studies, this study used a quantitative methodology to collect the data from health-care professionals working in Saudi Arabia’s public and private health institutes. Consequently, this study’s findings are based on 306 valid samples.

On the one hand, the path analysis reveals that health-care professionals believe in perceptions relating to the use of e-health and technology (PEHT) and experiences regarding internet use (ERIU) and that these have positive and significant effects on attitudes toward the use of e-health and technology (ATEHT) and intentions to use e-health services (ITUES). On the other hand, barriers to using e-health (BUEH) negatively impact ATEHT and ITUES. Finally, ATEHT also has a positive and significant effect on ITUES.

This study’s findings will help Saudi Arabia’s policymakers and the country’s health ministry to develop policies to provide e-services that health-care professionals can use to improve the quality of the country’s health care, patients’ human rights and social care. Furthermore, this study’s findings are helpful in developing attitudes and intentions toward either e-health or digital health to provide better health facilities to serve Saudi Arabia’s citizens.

This study empirically confirms among Saudi Arabia’s health-care professionals the PEHT, ERIU and BUEH toward ATEHT and ITUES.

Turnover intention (TOI) has become a severe issue in Saudi Arabia’s health-care system as health professionals leave their organizations. Saudi Arabia’s health-care professionals’ TOI affects the organizations and the patients’ human rights. Therefore, this study aims to assess the factors that affected Saudi Arabia’s health-care professionals’ TOI.

This study based its findings on quantitative cross-sectional data. This study’s respondents were health-care professionals working in Saudi Arabia’s public and private health-care institutions.

By using path analysis, this study’s findings reveal that, on the one hand, job stress (JS), psychological distress (PD) and perceived work exhaustion (PWE) have positive and significant effects on TOI. On the other hand, perceived organizational support (POS) is a positive and significant predictor of TOI.

This study’s findings will help the Saudi Arabian Ministry and policymakers develop policies to encourage health professionals’ perseverance through reducing their JS, PD and PWE and by enhancing POS for health-care staff. Moreover, by controlling the increasing turnover ratio among Saudi Arabia’s health-care professionals, this study’s findings assist in overcoming the violations of human rights.

This study’s findings empirically confirm the development of TOI through JS, PD and PWE among Saudi Arabia’s health-care professionals.

Adoption of integrated MOS based pseudo-resistor (PR) structures instead of using off-chip passive poly resistors for analog circuits in complementary metal oxide semiconductor technology (CMOS) is an area-efficient way for realizing larger time constants. However, issue of common-mode voltage shifting and excess dependency on the process and temperature variations introduce nonlinearity in such structures. So there is dire need to not only closely look for the origin of the problem with the help of a thorough mathematical analysis but also suggest the most suitable PR structure for the purpose catering broadly to biomedical analog circuit applications.

In this work, incremental resistance (IR) expressions and IR range for balanced PR (BPR) structures operating in the subthreshold region have been closely analyzed for broader range of process-voltage-temperature variations. All the post-layout simulations have been obtained using BSIM3V3 device models in 0.18 µm standard CMOS process.

The obtained results show that the pertinent problem of common-mode voltage shifting in such PR structures is completely resolved in scaled gate linearization and bulk-driven quasi-floating gate (BDQFG) BPR structures. Among all BPR structures, BDQFG BPR remarkably shows constant IR value of 1 TΩ over −1 V to 1 V voltage swing for wider process and temperature variations.

Various balanced PR design techniques reported in this work will help the research community in implementing larger time constants for analog-mixed signal circuits.

The PR design techniques presented in the present piece of work is expected to be used in developing tunable and accurate biomedical prosthetics.

The BPR structures thoroughly analyzed and reported in this work may be useful in the design of analog circuits specifically for applications such as neural signal recording, cardiac electrical impedance tomography and other low-frequency biomedical applications.

Sustainability performances (SPs) are the most crucial performances for an organisation in today's world, and they can be measured by economic, social, and environmental metrics. Previous research has not been clear on the role of total productive maintenance (TPM) in the context of sustainability, which motivates the authors to investigate the relationship between TPM and various SPs of the manufacturing firm. Therefore, current research investigates the relationship between TPM and the overall sustainability of the manufacturing firm from the perspective of resource-based view (RBV) theory.

The current study proposed, tested and validated a conceptual framework using partial least squares structural equation modelling (PLS-SEM). A total of 326 responses were received to validate the conceptual framework in smartsPLS 3.0 software.

The research outcomes indicate that TPM considerably impacts a manufacturing firm's economic, environmental and social performance.

This research demonstrates that outstanding shop floor behaviour, such as TPM, can become an important asset to offer competitive advantages in a manufacturing firm. Similarly, TPM might serve as a roadmap for leveraging overall sustainability for manufacturing companies. The study indicates the establishment of a sustainability-oriented training protocol while practising TPM.

No past investigation indicates that a shop floor activity like TPM could be used as an input to offer sustainability in a single index for a manufacturing firm from the perception of RBV theory.

This study aims to describe the design and synthesis of two novel azo and imine chromophores-based dyes derived from two different aldehydes with intramolecular colour matching that are pH sensitive.

The visible absorption wavelength (λ_max) was extended when azo chromophore was included in imine-based systems. The dyed patterns created sophisticated colour-changing paper packaging sensors with pH-sensitive chromophores using alum as a mediator or mordant. Due to the tight adhesive bonding, the dyes on paper’s cellulose fibres could not be removed by ordinary water even at extremely high or low pH, which was confirmed by scanning electron microscopy analysis. The dyed patterns demonstrated an evident, sensitive and fast colour-changing mechanism with varying pH, from pale yellow to red for Dye-I and from pale yellow to brown-violet for Dye-II.

The λ_max for colour changing was recorded from 400 to 490 nm for Dye-I, whereas from 400 to 520 for Dye-II. The freshness judgement of food was checked using actual experiments with cooked crab spoilage, where the cooked crab was incubated at 37 ^oC for 6 h to see the noticeable colour change from yellow to brown-violet with Dye-II. The colour-changing mechanism was studied with Fourier transform infrared (FTIR) spectra at different pH, and thin layer chromatography, nuclear magnetic resonance and FTIR spectroscopy studied the desired structure formation of the dyes. Potential uses for smart packaging sensors include quickly detecting food freshness during transportation or right before consumption.

1. Two novel azo-imine dyes have been synthesized with a pH-responsive effect. 2. The pH-responsive mechanism was studied. 3. The study was supported by computational chemistry using density functional theory. 4. The obtained dyes were used to make pH-responsive sensors for seafood packaging to judge the freshness.

As public–private partnerships (PPPs) have become preferred and veritable approach to deliver affordable housing, the seemingly lack of understanding of the significant factors that impact on success has become a notable setback. This study aims to delineate significant factors that can support decisions in affordable PPP public housing delivery.

Largely, a questionnaire survey was adopted to elicit insights from practitioners, policymakers and experts to develop an evaluative decision support model using an analytical hierarchy process and multi-attribute utility technique approach. Further, an expert illustration was conducted to evaluate and validate the results on the housing typologies.

The results revealed that energy efficiency and low-cost green building materials scored the highest weighting of all the criteria. Furthermore, multi-storey self-contained flats were found to be the most preferred housing typology and were significantly influenced by these factors. From the model evaluation, the scores on the factors of sustainability, affordability, cultural values and accountability were consistent across all typologies of housing whereas that of benchmarking, governance and transparency were varied.

The decision support factors captured varied dimensions of key factors that impact on affordable PPP housing that have not been considered in an integrated manner. These findings offer objective and systematic support to decision-making in affordable PPP housing delivery.

The research aims to develop an assessment framework that evaluates critical success factors (CSFs) for the Quality 4.0 (Q 4.0) transition among Indian firms.

The authors use the fuzzy-Delphi method to validate the results of a systematic literature review (SLR) that explores critical aspects. Further, the fuzzy decision-making trial and laboratory (DEMATEL) method determines the cause-and-effect link. The findings indicate that developing a Q 4.0 framework is essential for the long-term success of manufacturing companies. Utilizing the power of digital technology, data analytics and automation, manufacturing companies can benefit from the Q 4.0 framework. Product quality, operational effectiveness and overall business performance may all be enhanced by implementing the Q 4.0 transition framework.

The study highlights significant awareness of Q 4.0 in the Indian manufacturing sector that is acquired through various means such as training, experience, learning and research. However, most manufacturing industries in India still follow older quality paradigms. On the other hand, Indian manufacturing industries seem well-equipped to adopt Q 4.0, given practitioners' firm grasp of its concepts and anticipated benefits, including improved customer satisfaction, product refinement, continuous process enhancement, waste reduction and informed decision-making. Adoption hurdles involve challenges including reliable electricity access, high-speed Internet, infrastructure, a skilled workforce and financial support. The study also introduces a transition framework facilitating the shift from conventional methods to Q 4.0, aligned with the principles of the Fourth Industrial Revolution (IR).

This research exclusively examines the manufacturing sector, neglecting other fields such as medical, service, mining and construction. Additionally, there needs to be more emphasis on the Q 4.0 implementation frameworks within the scope of the study.

This may be the inaugural framework for transitioning to Q 4.0 in India's manufacturing sectors and, conceivably, other developing nations.

The prison population is seldom studied and often overlooked in many countries despite their vulnerability to long-term illness. This study aims to explore the factors associated with the non-treatment for long-term illnesses among incarcerated individuals.

This study is a cross-sectional analysis. The authors conducted a secondary data analysis using information collected in the Peruvian census of incarcerated individuals. The study population consisted of incarcerated individuals diagnosed with a long-term illness. To evaluate the factors associated with non-treatment, the authors used a Poisson regression model.

The authors included 12,512 incarcerated individuals (age: 40.9 ± 13.1 years), and 39% of them did not receive treatment for their long-term illness. The authors observed that non-treatment was statistically associated with gender, age, having children, use of the Spanish language, sexual identity, judicial situation, penitentiary location, discrimination inside the penitentiary and health insurance before incarceration. However, only having children (prevalence ratio [PR]: 1.11, confidence interval [CI]95% 1.03–1.19), using the Spanish language (PR: 1.15, CI95%: 1.01–1.31), being in a penitentiary not in Lima (PR: 1.11, CI95%: 1.06–1.17) and perceiving discrimination inside the penitentiary (PR: 1.12, CI95% 1.06–1.18) increased the prevalence of non-treatment.

Identifying the factors associated with non-treatment will allow us to implement measures for prioritizing groups and developing strategies for the evaluation, close follow-up of their health and management of comorbidities.