Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a social skills training programme to target social isolation using virtual reality technology in primary mental health care

Introduction People with severe mental illness often have a small or no network of friends and limited contact with their family and live social isolated lives. We developed a social skills training programme to be administered by public mental health professionals in helping those with mental illness to overcome their social isolation. Methods The programme was developed over 3 years in close collaboration among psychologists, service users, municipal mental health professionals, mental health service researchers and a local firm providing virtual reality (VR) training. We started with the simplest available equipment, that is, a cardboard headset combined with a smartphone, then we used Oculus Quest and now Oculus Quest 2. Results The resulting programme is comprised of eight steps from: 1) identify service user’s primary and secondary goals to 8) three-month follow-up. Conclusion Several factors made adoption and implementation of VR technology possible in a relatively short timeframe: namely, the municipality and service users were involved from the beginning of the development process, efforts were made to introduce VR to mental health professionals and allow them to reflect on its usability, solutions were low-tech and low cost, and the long-term research collaboration was established without municipal financial obligations.
Online classified adverts reflect the broader United Kingdom trade in turtles and tortoises rather than drive it

Online sales are increasingly a route by which exotic animals are sold in the global pet trade. There are numerous types of online platforms and transaction types, and dedicated classified advertisement sites are a popular means of buying and selling animals. Despite their large and increasing use, we have a relatively poor understanding of the number of, and taxonomic variation in, the animals sold online. This information may be key in efforts to optimise the welfare of the animals being sold, and the ethics and sustainability of the trade via that platform. To fill this knowledge gap, we monitored and analysed the advertisements of chelonians (turtles and tortoises) placed on one of the United Kingdom’s largest dedicated classified ads sites, www.pets4homes. co.uk, over the course of a year, from July 2020 until June 2021. We analysed temporal, taxonomic, and advertiser related trends in the volumes of advertisements placed and compared the prices and the sentiment of language within adverts for different species. We found that the species advertised, the prices requested, and infrequent use of the site by most advertisers is consistent with most adverts being for animals being resold by casual users. Further, we found that turtles were consistently advertised for lower prices and in multiples than tortoises, and that the language with which they were advertised was less positive. We conclude that on this website the online trade reflects the broader trade, rather than drives the sales of chelonians in the UK, and that any interventions aiming to improve welfare and sustainability would be better placed earlier in the supply chain.
The Journey from Discovery to Scientific Change: Scientific Communities, Shared Models, and Specialised Vocabulary

ABSTRACT Scientific communities as social groupings and the role that such communities play in scientific change and the production of scientific knowledge is currently under debate. I examine theory change as a complex social interaction among individual scientists and the scientific community, and argue that individuals will be motivated to adopt a more radical or innovative attitude when confronted with striking similarities between model systems and a more robust understanding of specialised vocabulary. Two case studies from the biological sciences, Barbara McClintock and Stanley Prusiner, help motivate the idea that sharing of models and specialised vocabulary fill the gap between discovery and scientific change by promoting the dispersal of important information throughout the scientific community.
How do housing prices affect innovation and entrepreneurship? Evidence from China

This paper analyzes how housing prices affect innovation and entrepreneurship. We construct a city-level panel dataset including 281 cities between 2009 and 2019 by merging housing price data from China Statistical Yearbook for Regional Economy with innovation and entrepreneurship data from Peking University Open Research Data Platform. Our results suggest that housing prices are positively associated with the vitality of innovation and entrepreneurship (VIE). The results remain consistent with a series of robustness checks. We also find that rising house prices promote VIE through the wealth effect and the siphon effect. Spatial effect analysis further shows that housing prices not only positively affect the VIE of local cities, but also positively affect the VIE of neighboring cities. These findings imply the necessity of curbing the excessive rise of housing prices and decoupling public services and benefits related to homeownership.
The relative importance of friendship to happiness increases with age

Happiness is predicted by social relationships in general and contact frequency in particular. This study aims to examine if the relative importance of social contacts with the closest family/relative, friend, and neighbor in happiness changes with advancing age. We used data for all participants aged 19 years and older (n = 229,099) in the 2019 Community Health Survey, which measured the frequency of contact with the closest relative/family, neighbor, and friend among a representative sample of Koreans between August 16 and October 31, 2019. The Shapley value decomposition method was used to measure the relative importance of each predictor of happiness. Overall, contact frequency was positively associated with happiness (p<0.001). The relative importance value of contact with the closest family, neighbor, and friend to happiness increased from 4.70%, 3.98%, and 7.35%, respectively, in the 19–29 years group to 8.09%, 4.44%, and 11.00%, respectively, in the 60 years and older group. Frequent interactions with the closest friend could have a greater impact on happiness in old age than those with the closest family and neighbor.
Bioinspired scaffolds based on aligned polyurethane nanofibers mimic tendon and ligament fascicles

Topographical factors of scaffolds play an important role in regulating cell functions. Although the effects of alignment topography and three‐dimensional (3D) configuration of nanofibers as well as surface stiffness on cell behavior have been investigated, there are relatively few reports that attempt to understand the relationship between synergistic effects of these parameters and cell responses. Herein, the influence of biophysical and biomechanical cues of electrospun polyurethane (PU) scaffolds on mesenchymal stem cells (MSCs) activities was evaluated. To this aim, multiscale bundles were developed by rolling up the aligned electrospun mats mimicking the fascicles of tendons/ligaments and other similar tissues. Compared to mats, the 3D bundles not only maintained the desirable topographical features (i.e., fiber diameter, fiber orientation, and pore size), but also boosted tensile strength (∼40 MPa), tensile strain (∼260%), and surface stiffness (∼1.75 MPa). Alignment topography of nanofibers noticeably dictated cell elongation and a uniaxial orientation, resulting in tenogenic commitment of MSCs. MSCs seeded on the bundles expressed higher levels of tenogenic markers compared to mats. Moreover, the biomimetic bundle scaffolds improved synthesis of extracellular matrix components compared to mats. These results suggest that biophysical and biomechanical cues modulate cell‐scaffold interactions, providing new insights into hierarchical scaffold design for further studies.
Accessing Care During the COVID-19 Pandemic Using Telemedicine: Perspectives From People With HIV

The COVID-19 pandemic has resulted in a steep increase in telemedicine implementation and use. Data are lacking on telemedicine use in marginalized and underserved groups including people with HIV (PWH). The Ryan White HIV/AIDS Program (RWHAP) is the largest single provider of HIV care in the United States (U.S.) and the southern part of the country remains the epicenter of the HIV epidemic. This study recruited PWH from RWHAP clinics across South Texas. To ascertain their perspectives on utilizing telemedicine for HIV care during the COVID-19 pandemic, a survey instrument derived from validated instruments was used. Descriptive statistics were used for client characteristics, quality of telemedicine care, and COVID-19 impact. Wilcoxon Rank Sum and Kruskal–Wallis tests were assessed associations of telemedicine care quality and COVID-19 impact between client groups. Among 246 eligible PWH, 122 clients completed the survey with a response rate of 50%. Clients were predominantly Hispanic males. Significant differences in perception of telemedicine care and the impact of COVID-19 by gender, age, language, and race/ethnicity were observed. Older PWHIV used telemedicine more than younger clients (p = .01). English speakers indicated more impact of the COVID-19 pandemic on daily life than Spanish speakers (p = .02). Worry about the pandemic was most evident among non-Hispanic Black and Hispanic PWH (p = .03). Overall, telemedicine was found to be a favorable and acceptable mechanism of HIV care delivery by PWH in a Southern state during the COVID-19 pandemic.
Nanosecond laser pulses for mimicking thermal effects on nanostructured tungsten-based materials

In this work, we exploit nanosecond laser irradiation as a compact solution for investigating the thermomechanical behavior of tungsten materials under extreme thermal loads at the laboratory scale. Heat flux factor thresholds for various thermal effects, such as melting, cracking and recrystallization, are determined under both single and multishot experiments. The use of nanosecond lasers for mimicking thermal effects induced on W by fusion-relevant thermal loads is thus validated by direct comparison of the thresholds obtained in this work and the ones reported in the literature for electron beams and millisecond laser irradiation. Numerical simulations of temperature and thermal stress performed on a 2D thermomechanical code are used to predict the heat flux factor thresholds of the different thermal effects. We also investigate the thermal effect thresholds of various nanostructured W coatings. These coatings are produced by pulsed laser deposition, mimicking W coatings in tokamaks and W redeposited layers. All the coatings show lower damage thresholds with respect to bulk W. In general, thresholds decrease as the porosity degree of the materials increases. We thus propose a model to predict these thresholds for coatings with various morphologies, simply based on their porosity degree, which can be directly estimated by measuring the variation of the coating mass density with respect to that of the bulk.
A Rapid Access Brief Psychotherapy Intervention to Respond to Healthcare Workers in Ontario Whose Mental Health was Negatively Impacted During the COVID-19 Pandemic

Objective Although the coronavirus disease 2019 (COVID-19) pandemic has had widespread negative impacts on the mental health of healthcare workers (HCWs), there has been little research on psychological interventions during the pandemic for this population. The current study examines whether a brief coping-focused treatment intervention delivered in a virtual individual format would be associated with positive changes in Canadian HCWs’ mental health during the pandemic. Method Three hundred and thirty-three HCWs receiving the intervention at 3 large specialty tertiary care hospitals in Ontario, Canada, completed measures of anxiety, depression, perceived stress, work/social impairment, insomnia and fear of COVID-19. After completing treatment, HCWs rated their satisfaction with the treatment. Results The intervention was associated with large effect size improvements in anxiety, depression, perceived stress, insomnia and fear of COVID-19, and moderate effect size improvements in work/social impairment. At treatment session 1, prior mental health diagnosis and treatment were both significantly correlated with depression, anxiety, and work/social impairment scores. Secondary analyses of data from one of the sites revealed that treatment-related changes in anxiety, depression, perceived stress and work/social impairment were independent of age, gender, occupational setting, profession and the presence of a previous mental health diagnosis or treatment, with the exception that nurses improved at a slightly greater rate than other professions in terms of work/social impairment. HCWs were highly satisfied with the treatment. Conclusions A large number of HCWs experiencing significant distress at baseline self-referred for assistance. Timely and flexible access to a brief virtual coping-focused intervention was associated with improvements in symptoms and impairment, and treatment response was largely unrelated to demographic or professional characteristics. Short-term psychological interventions for HCWs during a pandemic may have a highly positive impact given their association with improvement in various aspects of HCWs’ mental health improvement.
Associations of social jetlag with physical activity and sedentary behaviour in children and adolescents: A systematic review and meta‐analysis

Sleep and daytime movement behaviours occur co‐dependently with each other within a finite 24 h day. Sleep parameters other than sleep duration, such as social jetlag and chronotype, have been linked to health problems and unhealthy behaviours among children and adolescents. Given the increasing number of studies examining sleep timing/chronotype and weight‐related behaviours, including physical activity and sedentary behaviour, in the past decade, this systematic review and meta‐analysis collated and evaluated the evidence on the relationships of social jetlag and chronotype with physical activity and sedentary behaviour among children and adolescents aged 3–17 years. Seven databases were searched on 16 March 2022, and 52 studies were identified as eligible for inclusion, 47 of which were suitable for the meta‐analysis. A positive association was found between social jetlag and screen media use (r = 0.14, 95% CI: 0.04–0.24; I2 = 96%; p = 0.008). The morning chronotype was associated with a higher level of physical activity and a lower level of sedentary behaviour than the evening chronotype. No relationship was found between social jetlag and physical activity. The magnitude of heterogeneity among the included studies was high. Further experimental studies are urgently required to understand how circadian preference or misalignment affects activity behaviours. Interventions to promote an active lifestyle in young populations should consider their circadian preference, especially among individuals with the evening chronotype.
Inverse Kinematics for a Walking in-Pipe Robot Based on Linearization of Small Rotations

The paper considers walking in-pipe robots, which represent a novel class of in-pipe robots, with better agility but also a more complicated control compared with other, more prevalent in-pipe robot types. The focus of the paper is on the inverse kinematics (IK) of these robots. IK for walking in-pipe robots is a difficult problem due to a combination of factors, such as joint limits, multiple possible kinematic singularities, as well as a significant number of joints that these robots have. All this requires the use of an algorithm that could take into account multiple objectives and constraints when solving the problem, and provide a solution in real time using on-board computers. Existing approaches can achieve this with local linearization of both the objective function and the constraints; alternatively they do it by taking the constraints into account. In this work, the IK is transformed into a quadratic program. Instead of linearizing the objective function, here the orientations of the robot’s links are approximated by convex combinations of rotation matrices. This allows relaxing the constraints associated with the special orthogonal group, placed on the matrices describing the links’ orientation. The paper shows the form of the resulting quadratic program, discusses the practical aspects of using this approach and lists its limitations.
The tomato calcium‐permeable channel 4.1 (SlOSCA4.1) is a susceptibility factor for pepino mosaic virus

Summary The hyperosmolality‐gated calcium permeable channel 4.1 (OSCA4.1) belongs to an evolutionarily conserved small family of mechano‐sensitive channels. OSCA members may represent key players in plant resistance to drought and to pathogen infection but are scarcely studied. After screening for resistance to pepino mosaic virus (PepMV) a collection of 1000 mutagenized tomato families, we identified a mutant showing no symptoms and reduced virus accumulation. Resistance was mapped to chromosome 2 between positions 46 309 531 to 47 044 163, where a missense mutation caused the putative truncation of the OSCA4.1 protein. A CRISPR/Cas9 slosca4.1 mutant was resistant to PepMV, but not to tobacco mosaic virus or potato virus X. Inoculation of mutant and wild type tomato protoplasts showed that resistance was expressed in single cells, suggesting a role for SlOSCA4.1 in early viral function(s); congruently, SlOSCA4.1 re‐localized to structures reminiscent of viral replication complexes. We propose that SlOSCA4.1 contributes to the correct regulation of the Ca2+ homeostasis necessary for optimal PepMV infection. PepMV is a pandemic virus that causes significant losses in tomato crops worldwide. In spite of its importance, no tomato‐resistant varieties have been deployed yet; the mutant identified here has great potential to breed tomato varieties resistant to PepMV.
Updating of Implicit Adaptation Processes through Erroneous Numeric Feedback

Abstract There is debate about how implicit and explicit processes interact in sensorimotor adaptation, implicating how error signals drive learning. Target error information is thought to primarily influence explicit processes, therefore manipulations to the veracity of this information should impact adaptation but not implicit recalibration (i.e. after-effects). Thirty participants across three groups initially adapted to rotated cursor feedback. Then we manipulated numeric target error through knowledge of results (KR) feedback, where groups practised with correct or incorrect (+/-15°) numeric KR. Participants adapted to erroneous KR, but only the KR + 15 group showed augmented implicit recalibration, evidenced by larger after-effects than before KR exposure. In the presence of sensory prediction errors, target errors modulated after-effects, suggesting an interaction between implicit and explicit processes.
Differences in Large-scale and Sliding-window-based Functional Networks of Reappraisal and Suppression

The process model of emotion regulation suggests that cognitive reappraisal and expressive suppression engage at different time points in the regulation process. Although multiple brain regions and networks have been identified for each strategy, no articles have explored changes in network characteristics or network connectivity over time. The present study examined (a) the whole-brain network and six other resting-state networks, (b) their modularity and global efficiency, which is an index of the efficiency of information exchange across the network, (c) the degree and betweenness centrality for 160 brain regions to identify the hub nodes with the most control over the entire network, and (d) the intra-network and inter-network functional connectivity (FC). Such investigations were performed using a traditional large-scale FC analysis and a relatively recent sliding window correlation analysis. The results showed that the right inferior orbitofrontal cortex was the hub region of the whole-brain network for both strategies. The present findings of temporally altering functional activity of the networks revealed that the default mode network (DMN) activated at the early stage of reappraisal, followed by the task-positive networks (cingulo-opercular network and fronto-parietal network), emotion-processing networks (the cerebellar network and DMN), and sensorimotor network (SMN) that activated at the early stage of suppression, followed by the greater recruitment of task-positive networks and their functional connection with the emotional response-related networks (SMN and occipital network). This is the first study that provides neuroimaging evidence supporting the process model of emotion regulation by revealing the temporally varying network efficiency and intra- and inter-network functional connections of reappraisal and suppression.
Numerical Solutions for Radiative Heat Transfer in Ferrofluid Flow due to a Rotating Disk: Tiwari and Das Model

Abstract In this paper, we explore the von-Kármán infinite disk problem for the situation where ferrofluid resides in the space above the rotating disk. Furthermore, flow field is influenced by axial magnetic field. In this study, we treat water as the base fluid which consists of homogeneous suspensions of Fe3O4${\rm{F}}{{\rm{e}}_{\rm{3}}}{{\rm{O}}_{\rm{4}}}$ ferromagnetic particles. The main motivation here is to resolve heat transfer problem in the existence of non-linear radiative heat transfer. With the aid of von-Kármán relations, the equations of fluid motion and heat transfer are changed into a set of self-similar differential equations. These equations are dealt by an implicit finite-difference method with high precision. The results reveal that wall heat transfer rate can be improved by increasing solid volume fraction of ferromagnetic particles. Drag coefficient at the disk and heat transfer rate are increased as the strength of Lorentz force is enhanced. Viscous dissipation effect has an important part in improving heart transfer process which is vital in some applications. The results demonstrate that cooling capability of magnetite–water nanofluid is much superior to the conventional coolants. An excellent correlation of present results with the previous published articles is found in the all the cases.
Messing up to clean up: Semi‐randomized frequency selective space‐filling curves to suppress physiological signal fluctuations in MRI

Rapid 3D steady‐state sequences are widely used but are also known to be sensitive to semi‐periodic physiological signal fluctuations due to, for example, cardiac pulsation, breathing, and eye/eyelids movement. This semi‐periodicity results in repeating artifacts in the image whose intensity depends on the scan parameters. The purpose of this study is to design a reordering of the 2D phase encodes (within the 3D acquisition) that reduces these artifacts.
Importance of coherence in models of mid-infrared quantum cascade laser gain spectra

We present a three-level model based on a density matrix to examine the influence of coherence and dephasing on the gain spectrum of mid-infrared quantum cascade lasers. The model is used to examine a quantum cascade active region with multiple optical transitions. We show how coherence can explain the origin of additional peaks in the gain spectrum. We also analyze the spectra calculated using the three-level model with a rate equation formalism to demonstrate the importance of considering interface roughness and limitations of the rate equation formalism. Specifically, we present how interface roughness influences the broadening and oscillator strength that are recovered using a rate equation analysis. The results of this work are important when considering the design of active regions with multiple optical transitions and could lead to devices with improved performance.