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IN the following, the free flexional oscillations of a monoplane's semi‐cantilever wing are given, taking into consideration the inner and outer parts of the strut as two systems coupled by elasticity. The result, which is identical with coupled electrical circuits, has been checked by tests with a light aeroplane.

Under this heading are published regularly abstracts of all Reports and Memoranda of the Aeronautical Research Council, Reports and Technical Memoranda of the United States National Advisory Committee for Aeronautics and publications of other similar Research Bodies as issued

This study aims to evaluate sustainable investment policies for housing in Qatar.

This paper proposes a new model for analyzing sustainable investment policies for housing demand in Qatar via a hybrid quantum fuzzy decision-making model. The study processed the criteria with the facial expression-based Quantum Spherical fuzzy DEMATEL and ranked the alternatives with the facial expressions-based quantum spherical fuzzy TOPSIS. Four factors were determined due to a comprehensive literature review (Environment, Housing Design, Building Design, and Surrounding the building), with five sustainable investment policy alternatives (Electricity production with renewable energies, Recycling systems and materials in construction, Transport with less carbon emission, Biodiversity for residents, and Resilience to natural disasters).

The analysis indicates that the design of the building is the most important factor (0.254), while the environment is the most influencing factor (0.253) regarding housing demand in Qatar. Transport with less carbon emission and electricity production with renewable energies are the most critical alternative investment policies.

This study provides useful insights for regulators, policymakers, and stakeholders in Qatar’s sustainable investment policies for housing demand. The main motivation of this study is that there is a need for a novel model to evaluate the sustainable investment policies for housing demand. The main reason is that existing models in the literature are criticized due to some issues. In most of these models, emotions of the experts are not taken into consideration. However, this situation has a negative impact on the appropriateness of the findings. Because of this situation, in this proposed model, facial expressions of the experts are considered. With the help of this issue, uncertainties in the decision-making process can be handled more effectively.

The purpose of this paper is to identify the root cause of low yield problems in the semiconductor manufacturing process using sensor data continuously collected from manufacturing equipment and describe the process environment in the equipment.

This paper proposes a sensor data mining process based on the sequential modeling of random forests for low yield diagnosis. The process consists of sequential steps: problem definition, data preparation, excursion time and critical sensor identification, data visualization and root cause identification.

A case study is conducted using real-world data collected from a semiconductor manufacturer in South Korea to demonstrate the effectiveness of the diagnosis process. The proposed model successfully identified the excursion time and critical sensors previously identified by domain engineers using costly manual examination.

The proposed procedure helps domain engineers narrow down the excursion time and critical sensors from the massive sensor data. The procedure's outcome is highly interpretable, informative and easy to visualize.

Over the coming decades, the widespread application of social distancing creates challenges for the urban planning and design profession. This article aims to address the phenomenon of boredom in public places, its main influences that generate change in repetition, monotony and everyday lifestyle, whether positive, negative or both – depending on the binding and governing rules of urban shape variations and daily lifestyles.

This viewpoint relied on literary narration to discuss the phenomenon of boredom vis-à-vis urban design and placemaking solutions in the face of social distancing. It builds its orientation by analyzing the works of nine scholars and five of their relevant theories.

Evidence from previous studies helped develop three-pillar guidelines that can produce better results for post-pandemic development in the face of boredom. These pillars include recommendations for the trinity of heterogeneity for metamorphosis in urban form, changes in public life and digital transformation in a time of uncertainty on how to confront (un)seen boredom in public spaces. Practitioners should develop new insights into the relationship between people and place by reviewing existing paradigms in urban studies to avoid repetition, monotony and change in everyday life after a pandemic.

The added value here is in underlining boredom as one of the consequences of social distancing and lockdown applications building on the phenomenon's theorizers. The key contribution of this work is the three-pillar recommendation for confronting the boredom in public spaces that happens because of social distancing and lockdown.

High levels of depression and anxiety in the family caregivers of a patient with cancer affect their quality of life. The purpose of this study was to investigate the effects of a mindful self-compassion (MSC) training program on self-compassion in the family caregivers of patients with cancer.

In 2020, this quasi-experimental study used convenience sampling to select 92 family caregivers of patients with cancer presenting to the oncology ward of Seyed-Al-Shohada Hospital, Isfahan, Iran. The subjects randomly assigned to two groups participated in an online MSC program for 1.5 months. All the participants completed a self-compassion scale (Neff) before, immediately after and one month after the intervention. The data were analyzed using the Mann–Whitney U test, the Chi-squared test, the LSD test, the t-test and repeated measures ANOVA.

The total mean score of self-compassion, respectively, obtained as 64.64 ± 8.23 and 64.44 ± 4.94 in the experimental and control groups before the intervention significantly increased to 81.15 ± 7.94 and 64.06 ± 5.22 immediately after and 78.94 ± 8.22 and 64.22 ± 4.85 one month after the intervention (P < 0.001).

Given the potential for negative psychological impacts for patients, caregivers and clinicians in cancer care, the online MSC program can be recommended to support and reduce psychological distress in them.

This paper examined the effect of the online MSC program on self-compassion in the family caregivers of patients with cancer and can contribute to our understanding of the value of integrating mental health of caregivers and care of patients with cancer.

Hospital structures serve to protect and improve public health; however, they are recognized as a major source of environmental degradation. Thus, an effective performance evaluation framework is required to improve hospital sustainability. In this context, this study presents a holistic methodology that integrates the sustainability balanced scorecard (SBSC) with fuzzy Delphi method and fuzzy multi-criteria decision-making approaches for evaluating the sustainability performance of hospitals.

Initially, a comprehensive list of relevant sustainability evaluation criteria was considered based on six SBSC-based dimensions, in line with triple-bottom-line sustainability dimensions, and derived from the literature review and experts’ opinions. Then, the weights of perspectives and their respective criteria are computed and ranked utilizing the fuzzy analytic hierarchy process. Subsequently, the hospitals’ sustainable performance values are ranked based on these criteria using the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution.

A numerical application was conducted in six public hospitals to exhibit the proposed model’s applicability. The results of this study revealed that “Patient satisfaction,” “Efficiency,” “Effectiveness,” “Access to care” and “Waste production,” respectively, are the five most important criteria of sustainable performance.

The new model will provide decision-makers with management tools that may help them identify the relevant factors for upgrading the level of sustainability in their hospitals and thus improve public health and community well-being.

This is the first study that proposes a new hybrid decision-making methodology for evaluating and comparing hospitals’ sustainability performance under a fuzzy environment.

This paper aims to propose a new framework to define relevant and meaningful indicators for monitoring and assessing environmental performance to improve health-care systems and operations.

A comprehensive literature review followed by field studies conducted with ten hospitals in the southern region of Brazil underlined the scarcity of consistent frameworks applied in practice to measure, monitor and improve environmental performance. A new framework was developed and proposed to address this issue. The proposed framework is operationalized through a “process approach” and evaluated in terms of feasibility (Can the process be followed?), usability (Is the approach easily followed?) and utility (Are the results useful for managers?).

The paper proposes a framework and a process to evaluate the environmental performance in hospitals.

The proposed framework represents meaningful guidance to managers for strategy formalization, goal setting and environmental performance assessment and monitoring.

The paper proposes a systematic framework for measuring environmental performance in hospitals drawn from the literature review, current legislation and best practices reported in literature.

In this paper, the theory of inequality of opportunity is applied to examine health inequality among adults in Spain. Using a survey module conducted by the Centro de Investigaciones Sociológicas (CIS) in 2017, the role played by and the contributions of circumstances, efforts and lifestyles, and demographic variables in explaining adult health inequality are assessed. Additionally, the mediating role of individual education in the relationship between circumstances and health is analyzed. The findings underscore the significant relevance of unfair factors (circumstances) and demographics in generating adult health inequality, as opposed to the minimal contribution of fair factors (efforts and lifestyles). Furthermore, education is shown to significantly influence health, mitigating the impact of certain circumstances and serving as a transmission channel for others. In light of these results, efforts and lifestyles alone are insufficient to counterbalance unfair circumstances beyond an individual’s control. Therefore, improving circumstances and early-life factors, or reducing their impact on health through the implementation of compensatory policies, is essential for reducing health inequality and promoting equal opportunities for inclusive development.

DURING some comments on the brain drain last month it was remarked that work study technologists stood on the periphery. Suddenly they have been moved right to the centre as the result of a communication from Dr. Robert N. Lehrer. He is among the six American work study experts best known to the profession in this country, ranking with Barnes and Mundel as having contributed much to a right appreciation of the subject's value and its techniques.