Miracle-dz/UniFAR-FTUs huggingface dataset:
An Empirical Study of the Restoration Potential of Urban Deciduous Forest Space to Youth

Urban deciduous forests are an important ecological resource and seasonal landscape in the urban environment. However, in the abundant literature on how urban green space promotes human health and well-being, research on urban seasonal deciduous forests is limited. This study aimed to investigate the physiological and psychological recovery potential provided of urban deciduous forest space for youths and the spatial preferences of youths regarding such spaces. We recruited 120 participants to study the restorative potential of two typical urban deciduous forest landscape spaces (experimental groups) and one urban road environment (control group). The results showed that after 15 min of observation, the blood pressure (especially the diastolic blood pressure (p < 0.01)) and pulse of the deciduous forest trail setting (DFTS) group effectively decreased, and the restorative mood significantly increased. Regarding change in emotional parameters, the DFTS group scored higher on “interest” and significantly higher than the other two groups on positive emotion. The correlation results show that density and level are the key factors affecting spatial preferences regarding complex deciduous forests. An increase in density reduces the mood of re-laxation, and an increase in level decreases fatigue and interest. We suggest (1) constructing foot-paths in urban deciduous forests to reduce their spatial density as to improve the relaxation effect and (2) increasing landscape diversity according to the forest space to facilitate user participation and interest. This study provides a scientific basis for the environmental restoration of deciduous landscapes and for urban forestry management decision-makers based on space type construction.
Cross-Sectional and Longitudinal Mental Health Status Prevailing among COVID-19 Patients in Mumbai, India

Introduction: The aim was to determine the prevalence and predictors of depression among less symptomatic COVID-19 patients. Methods: A questionnaire-based assessment was conducted among asymptomatic or mildly symptomatic COVID-19 patients when admitted in a COVID-19 facility (T1) and after 6 months (T2). Interviews were conducted using the Patient Health Questionnaire-9 instrument. Socio-demographic details and length of facility stay were recorded. Changes in scores between the two-time points T1 and T2 were compared. Factors predicting depression were determined using Chi-square and Mann–Whitney U test during facility stay, and those predicting worsening over time were obtained using multivariate regression models. Results: Among the 91.4% (n = 450) participants, prevalence of depression was 38.4% (95% confidence interval [CI] = 34.0–43.0) with a significant increase of 7.8-fold (95% CI = 4.8–12.8) in depression as the duration of stay increased beyond a median of 5 days. A significant association was observed between higher income and lower depression (odds ratios = 0.6, P = 0.03). 84% (n = 378) responded at the second timepoint assessment after a median of 6.62 months (T2). There was a significant difference observed between the 2.6% (n = 6) that worsened into depression at T2 and the 73.8% (n = 107) that improved out of depression at T2 (P ≤ 0.001). Age >45 years (P = 0.007), males (P = 0.011) and reinfection (P = 0.039) significantly led to worsening of depression. Conclusion: There is a need for actively detecting and managing depression in institutionally quarantined survivors, considering limiting such quarantine to no more than a week, and providing routine screening and care for depression beyond this period.
A Systematic Review and Meta-Analysis of Tai Chi Training in Cardiorespiratory Fitness of Elderly People

Objectives The purpose of this study was to investigate the influence of Tai Chi on cardiorespiratory fitness (CRF) in elderly people using meta-analysis. Methods This study used seven electronic databases and data retrieved from randomized controlled trials (RCTs) investigating the role of Tai Chi on CRF in the elderly. All these 24 RCTs were screened and selected from 7 literature databases. The Stata 11.2 software (StataCorp, USA) was used for the meta-analysis, subgroup analysis, and bias test, while the Cochrane Collaboration's tool was used for the assessment of the risk of bias (RoB). 4 researchers independently participated in sample selection, data extraction, and RoB assessment. Results Following the inclusion criteria, 24 eligible studies were included in our analysis. The meta-analysis indicated that Tai Chi practice significantly increased the maximum rate of oxygen consumption (VO2 max) (weighted mean difference (WMD) = 3.76, 95% CI: 1.25 to 6.26, P < 0.1), leading to an overall reduction in the heart rate (HR) (WMD = −1.84, 95% CI: −2.04 to −1.63, P ≤ 0.001) and an increase in the O2 pulse (WMD = 0.94, 95% CI: 0.60 to 1.28, P ≤ 0.001) in individuals who practiced Tai Chi regularly compared with those who did not. The subgroup analysis suggested that overall in those who practiced Tai Chi, males (WMD = 1.48, 95% CI: 0.85 to 2.12, P ≤ 0.001) had higher O2 pulse than females (WMD = 0.73, 95% CI: 0.33 to 1.12, P ≤ 0.001). The subgroup analysis also showed an increase in the vital capacity (VC) (WMD = 316.05, 95% CI: 239.74 to 392.35, P ≤ 0.001) in individuals practicing Tai Chi. When the samples were further stratified by Tai Chi practicing time, the subgroup analysis suggested that individuals practicing Tai Chi over a period of 24 weeks showed no significant difference in VC (WMD = 82.95, 95% CI: -98.34 to 264.23, P=0.370), while those practicing Tai Chi over a period of 48 weeks showed a significant increase (WMD = 416.62, 95% CI: 280.68 to 552.56, P ≤ 0.001). Furthermore, the subgroup analysis demonstrated that the increase in VC is significantly correlated with the Tai Chi practicing time (WMD = 344.97, 95% CI: 227.88 to 442.06, P ≤ 0.001). Conclusion Regular Tai Chi practice could improve the CRF in the elderly, as indicated by significant improvement in indicators including VO2max, O2pulse, VC, and HR. However, gender and practice time might influence the overall beneficial outcomes.
Is the “Family Glass Cabin” Useful to Safely Allow Inpatient–Caregiver Interaction in the COVID-19 Era? A Pilot Study on Severe Acquired Brain Injury

Acquired Brain Injury (ABI) is a life-changing event that can have a devastating impact on all aspects of a person’s functioning. Patients with ABI present several behavioral problems that have worsened during the COVID-19 pandemic. This study aimed at investigating the role of a “Family Glass Cabin” (FGC) both in improving cognitive function and communicative abilities of people with ABI and in potentiating the mental health of their caregivers. Fifteen subjects affected by ABI and their caregivers were enrolled in this experimental study. Training was performed through the FGC and was based on either psychoeducational sessions for the caregivers or cognitive stimulations for the patients. The participants attended biweekly meetings for 12 consecutive weeks. Each participant was assessed by means of a complete psychometric and clinical battery, before (T0) and after (T1) the training. We found significant changes in all patients’ outcomes, including global cognitive function and communication abilities (p < 0.01), as well as an improvement in caregivers’ well-being. Our data suggest that the physical presence of the caregiver in the rehabilitation setting, using a safe setting such as the FGC, can be a valuable means to increase ABI patients’ functional recovery and reduce caregivers’ anxiety and emotional burden.
E2F-GAN: Eyes-to-Face Inpainting via Edge-Aware Coarse-to-Fine GANs

Face inpainting is a challenging task aiming to fill the damaged or masked regions in face images with plausibly synthesized contents. Based on the given information, the reconstructed regions should look realistic and more importantly preserve the demographic and biometric properties of the individual. The aim of this paper is to reconstruct the face based on the periocular region (eyes-to-face). To do this, we proposed a novel GAN-based deep learning model called Eyes-to-Face GAN (E2F-GAN) which includes two main modules: a coarse module and a refinement module. The coarse module along with an edge predictor module attempts to extract all required features from a periocular region and to generate a coarse output which will be refined by a refinement module. Additionally, a dataset of eyes-to-face synthesis has been generated based on the public face dataset called CelebA-HQ for training and testing. Thus, we perform both qualitative and quantitative evaluations on the generated dataset. Experimental results demonstrate that our method outperforms previous learning-based face inpainting methods and generates realistic and semantically plausible images. We also provide the implementation of the proposed approach to support reproducible research via (https://github.com/amiretefaghi/E2F-GAN).
Trust as a catalyst for regional growth in a decentralised Europe: The interplay between informal and formal institutions in driving economic growth

Empirical studies examining the interplay between informal and formal institutions on economic growth are scarce. As a result, we do not know how differences in trust affect the economic returns of the quality of regional governments and their autonomy. A panel regression analysis of 208 regions in 21 EU countries shows that informal and formal institutions matter for economic growth, individually and in combination. More specifically, trust substitutes the quality of regional government but does not affect the economic impact of its degree of decentralization. Therefore, policymakers need to think creatively about harnessing institutions to promote economic growth. it to have a positive and significant association with economic growth. In Model 5, we introduce all factors.
Sequence analyses of relapsed or refractory diffuse large B‐cell lymphomas unravel three genetic subgroups of patients and the GNA13 mutant as poor prognostic biomarker, results of LNH‐EP1 study

Advances in molecular profiling of newly diagnosed diffuse large B‐cell lymphoma (DLBCL) have recently refine genetic subgroups. Genetic subgroups remain undetermined at the time of relapse or refractory (RR) disease. This study aims to decipher genetic subgroups and search for prognostic molecular biomarkers in patients with RR‐DLBCL. From 2015 to 2021, targeted next‐generation sequencing analyses of germline‐matched tumor samples and fresh tissue from RR‐DLBCL patients were performed. Unsupervised clustering of somatic mutations was performed and correlations with patient outcome were sought. A number of 120 patients with RR‐DLBCL were included in LNH‐EP1 study and a molecular tumor landscape was successfully analyzed in 87% of patients (104/120 tumor samples). The median age was 67.5 years (range 27.4–87.4), median number of previous treatments was 2 (range 1–9). The most frequently mutated genes were TP53 (n = 53 mutations; 42% of samples), CREBBP (n = 39; 32%), BCL2 (n = 86; 31%), KMT2D (n = 39; 28%) and PIM1 (n = 54; 22%). Unsupervised clustering separated three genetic subgroups entitled BST (enriched in BCL2, SOCS1, and TNFRSF14 mutations); TKS (enriched in TP53, KMT2D, and STAT6 mutations); and PCM (enriched in PIM1, CD79B, and MYD88 mutations). Median overall survival (OS) was 11.0 (95% confidence interval [CI]: 8.1–12.6) months. OS was not significantly different between the three genetic subgroups. GNA13 mutant was significantly associated with an increased risk of death (hazard ratio: 6.6 [95% CI: 2.1–20.6]; p = .0011) and shorter OS (p = .0340). At the time of relapse or refractory disease, three genetic subgroups of DLBCL patients were delineated, which could help advance precision molecular medicine programs.
Nrf2 protects against cerebral ischemia-reperfusion injury by suppressing programmed necrosis and inflammatory signaling pathways

Background The NOD-like receptor family pyrin domain-containing 3 (NLRP3) -mediated neuroinflammation is linked to neuronal necroptosis in cerebral ischemia-reperfusion (I/R) injury, especially in cerebral ischemic penumbra. This study was designed to investigate the regulation of nuclear factor E2-related factor-2 (Nrf2) on NLRP3 inflammasome in necroptosis signal pathway induced by I/R injury. Methods We investigated the mechanisms of Nrf2-negative regulation in necroptosis signaling pathway by using middle cerebral artery occlusion (MCAO) with Q-VD-OPH injected intraperitoneally. The protein level of the NLRP3 inflammasome was detected by western blot with Nrf2 knockdown and overexpression. NLRP3 inflammasome activation was Reactive oxygen species (ROS) dependent, and the protein level was regulated when N-acetylcysteine (NAC) and adenosine triphosphate (ATP) were selected as tools for regulating ROS. Results We demonstrated the negative regulation of Nrf2 on NLRP3 inflammasome activation in Q-VD-OPH-induced necroptosis in cerebral artery I/R injury through Lentivirus-mediated RNA Interferenc, which mediated knockdown and overexpression of Nrf2. NLRP3 inflammasome activation was sensitive to both ATP-mediated ROS level increases and NAC-mediated ROS inhibition, suggesting that ROS is associated with the activation of NLRP3 inflammasome in necroptosis. In addition, Nrf2-induced NAD(P)H quinone dehydrogenase 1 (NQO1) was involved in the inhibition of NLRP3 inflammasome activation. These results suggest that Nrf2 regulates NQO1 to attenuate ROS, which negatively regulates NLRP3 inflammasome. Conclusions Nrf2/NQO1 was an inhibitor of ROS-induced NLRP3 inflammasome activation in Q-VD-OPH-induced necroptosis following cerebral I/R injury. Therefore, NLRP3 inflammasome could be a potential therapeutic target for cerebral ischemia.
ANALYSIS OF ACCEPTANCE OF ACCOUNTING INFORMATION SYSTEM IMPLEMENTATION BASED ON ELECTRONIC PAYMENT USING THE UTAUT MODEL

Purpose — This study aims to examine and analyze the effect of performance expectancy, effort expectancy, social influences, and facilitating conditions on the actual use of electronic payment-based accounting information systems. Design/methodology/approach — Data obtained through online questionnaires filled out by 247 active users of electronic payment systems. The analysis method used is a Structural Equation Modeling/SEM with a Partial Least Square/PLS test tool. Findings — Empirical evidence shows that performance expectancy, effort expectancy, social influences, and facilitating conditions significantly affect electronic payment systems' actual use. Practical implications — Electronic payment platforms are recommended to provide an electronic payment application system that can be used easily and usefully. The platform can use these results as a reference regarding customer behaviour in using an electronic payment-based accounting record system Originality/value — This study uses UTAUT which is modelled directly on actual use. Keywords — Accounting; System; Electronic Payments; UTAUT; and Actual Use. Paper type — Positive Paradigm Research Paper
A Qualitative Exploration of Facilitators and Barriers to Physical Activity Participation among Chinese Retired Adults in Hong Kong

The purpose of this study was to identify facilitators and barriers associated with physical activity participation among retired Chinese adults in Hong Kong. This study adopts an interview research design in order to generate an in-depth understanding and insights into the participants’ thoughts, motivators and experiences of physical activity participation. Independent, semi-structured interviews with 10 retired participants (aged 54–74) were conducted based on an interview protocol with open-ended questions prompting the participants to describe their experiences. Transcribed texts were analysed using thematic analysis, combining both deductive and inductive analysis techniques. Common physical activities reported were walking, stretching exercise and jogging/running. Participants responded that their physical activity level increased since their retirement. We report the interview results according to the themes which emerged from the analysis: (1) physical and mental health, (2) socio-emotional factors, (3) environmental context, (4) family responsibilities. We found that the themes (1), (2) and (3) act either as a facilitator or a barrier for the participants interviewed, while theme (4) family responsibilities act as a barrier. The findings suggested that future physical activity interventions for retired Chinese adults should include more physical activity knowledge, such as the benefits to physical and mental health brought by physical activity and social elements, considering the specific challenges that participants are confronted with (from the family side).
Aeromedical interhospital transport of an adult with COVID-19 on extracorporeal membrane oxygenation: case report

Abstract Objective: To describe the experience of aeromedical interhospital transport of an adult patient with severe hypoxemic respiratory failure due to SARS-CoV-2, on extracorporeal membrane oxygenation. Method: This is a case report, guided by the tool Case Report Guidelines, with a descriptive approach. Data were collected from the digital medical record and field notes after the approval by the Institution and the Human Research Ethics Committee. Results: The transport of a critically ill, unstable patient with acute respiratory syndrome 2 on extracorporeal oxygenation was an opportunity for the team to acquire new knowledge. The proper preparation of the fixed-wing aircraft and the profile of the team of specialist nurses contributed to the safety and quality in the three phases of flight: preflight, in-flight and post-flight. Conclusion: Air transport of adults on cardiopulmonary bypass to referral centers, under the care of an experienced multidisciplinary team, can contribute to positive results. The nurses’ autonomy, their leadership role and expertise in process management are highlighted. Thus, success was evidenced with the patient’s discharge after 45 days from the Intensive Care Unit.
Virtual Reality Job Interview Training for Adults Receiving Prison-Based Employment Services: A Randomized Controlled Feasibility and Initial Effectiveness Trial

Returning citizens struggle to obtain employment after release from prison and navigating job interviews is a critical barrier they encounter. Implementing evidence-based interview training is a major gap in prison-based vocational services. We conducted a randomized controlled trial (RCT) to evaluate the feasibility and initial effectiveness of Virtual Reality Job Interview Training (VR-JIT) within two prisons. Forty-four male returning citizens were randomized to receive service-as-usual (SAU) with VR-JIT (SAU + VR-JIT, n = 28) or SAU (n = 16). Participants reported VR-JIT was highly acceptable and usable. SAU + VR-JIT, compared with SAU, had significant improvements (with large effect sizes) in interview skills, interview training motivation, and interview anxiety (all p < .05; η p 2 > .15), and greater employment by 6-month follow-up (odds ratio [OR] = 7.4, p = .045). VR-JIT can potentially help fill a major gap in prison-based services. Future research is needed to validate VR-JIT effectiveness and evaluate VR-JIT implementation strategies within prisons.
Impact of an Omega-3-Enriched Sheep Diet on the Microbiota and Chemical Composition of Kefalograviera Cheese

Kefalograviera is a well-known hard Greek cheese. The aim of this study was to determine how milk produced from ewes fed omega-3-enriched diets could influence the microbiota as well as the chemical composition of Kefalograviera cheese. At the start of the trial, 30 dairy ewes (Lesvos and Chios crossbreed) were selected and fed a conventional diet, based on alfalfa hay, straw and concentrate feed that contained soybean meal for a period of thirty days. Then, for a period of sixty days the same ewes were fed an omega-3-enriched concentrate feed with a lower level of soybean meal that contained 10% flaxseed and 10% lupins. Milk yield was collected individually on Days 30, 60 and 90 and used to produce three different batches of Kefalograviera cheeses, at the same cheese factory, by using a traditional recipe and identical preparation conditions (pasteurization of milk, salt, rennet and culture). Sample analysis was done after six months of Kefalograviera cheese ripening. MALDI-TOF-MS (matrix-assisted laser desorption/ionization time of flight mass spectrometry) identification was performed by contrasting the samples’ mass spectra with the corresponding reference database. The correlation between the different Kefalograviera cheeses revealed the predominant species being Lactococcus lactis, Lactobacillus rhamnosus, Lactobacillus plantarum, Lactobacillus brevis, Lactobacillus paracasei, Enterococcus faecium and Enterococcus faecalis, with significant quantitative differences between the experimental groups and the controls. Pediococcus spp. was isolated only from the experimental groups’ cheeses and Staphylococcus spp. only from the controls’ cheese, suggesting—among other differences—a bacterial microbiota distinction between the groups. Moreover, increased levels of alpha-linolenic acid and total polyunsaturated omega-3 fatty acids were noted in the enriched Kefalograviera cheeses. These promising findings suggest that enriched Kefalograviera cheese could be manufactured via enriching the ewes’ diets, with potential benefits for the consumers’ health.
Diversifying models for analysing global change scenarios and sustainability pathways

Non-technical summary Models are increasingly used to inform the transformation of human–Earth systems towards a sustainable future, aligned with the sustainable development goals (SDGs). We argue that a greater diversity of models ought to be used for sustainability analysis to better address complexity and uncertainty. We articulate the steps to model global change socioeconomic and climatic scenarios with new models. Through these steps, we generate new scenario projections using a human–Earth system dynamics model. Our modelling brings new insights about the sensitivity of sustainability trends to future uncertainty and their alignment with or divergence from previous model-based scenario projections. Technical summary The future uncertainty and complexity of alternative socioeconomic and climatic scenarios challenge the model-based analysis of sustainable development. Obtaining robust insights requires a systematic processing of uncertainty and complexity not only in input assumptions, but also in the diversity of model structures that simulates the multisectoral dynamics of human and Earth system interactions. Here, we implement the global change scenarios, that is, the shared socioeconomic pathways and the representative concentration pathways, in a feedback-rich, integrated assessment model (IAM) of human–Earth system dynamics, called FeliX, to serve two aims: (1) to provide modellers with well-defined steps for the adoption of established scenarios in new IAMs and (2) to explore the impacts of model uncertainty and its structural complexity on the projection of these scenarios for sustainable development. Our modelling shows internally consistent scenario storylines across sectors, yet with quantitatively different realisations of these scenarios compared to other IAMs due to the new model's structural complexity. The results highlight the importance of enumerating global change scenarios and their uncertainty exploration with a diversity of models of different input assumptions and structures to capture a wider variety of future possibilities and sustainability indicators. Social media summary New study highlights the importance of global change scenario analysis with new, SDG-focused IAMs.