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The paper undertakes a critical assessment of the use of smartphone apps for transportation by people with intellectual disabilities. Although apps for transportation such as Uber and Careem have been developed to assist people with disabilities and have numerous benefits, people with intellectual disabilities tend to encounter their own set of difficulties in accessing these apps.

This paper presents the research findings drawn from a focus group discussion conducted with nine people with moderate to mild intellectual disabilities in Riyadh, by using a qualitative study focussed on the interpretative paradigm.

From the interview findings, some relevant themes were identified. These were transportation issues encountered by people with intellectual disabilities, the extent and manner of the use of smartphone apps for transportation, the benefits enjoyed by those individuals in using smartphone apps for transportation and the difficulties encountered by them.

The paper also discusses the implications fe with intellectual disabilities. Such people frequently use the apps and are happy with their key attributes in addressing their transportation issues. The apps can be further promoted by responsible authorities for facilitating people having intellectual disabilities with strengthened and easy access to learning and working opportunities. Further research studies can be organized with a focus on determining creative ways in which technology integration can play a role in improving the mobility and fostering social inclusion of persons with intellectual disabilities. Government authorities can impose policies and measures for safeguarding the rights of this particular group and advancing awareness among society members for collectively working towards their well-being.

The purpose of this study was to clarify whether the novel lateral transfer assist robot facilitates easier transfers compared with a wheelchair in post-stroke hemiparesis patients.

This cross-sectional study enrolled 20 post-stroke hemiparesis patients, and the task difficulty of transfers was compared between a wheelchair and lateral transfer assist robot. All participants were asked to transfer from either wheelchair or lateral transfer assist robot to a platform table and back. The primary outcome was the transfer score of the Functional Independence Measure. The secondary outcome was the time required for transfer.

The transfer score of the Functional Independence Measure was significantly higher with lateral transfer assist robot than with wheelchair (

 < .001). learn more The transfer times from these devices to a platform table and back showed no significant differences (to device from platform table 7.8 s, lateral transfer assist robot vs 7.6 s, wheelchair,

 > .05 device to platform table 7.1 s, n facilitate transfers The LTAR could improve the degree of independence for transfers than the wheelchair, without any time loss, in post-stroke hemiparesis patients The LTAR could potentially reduce the risk for falls in various medical and care facilities.

Cirrhosis affects liver functions and compromises much of the body's organs. The significant increase in chronic diseases, including cirrhosis, has led to changes in medical practice and health systems, leading the informal caregiver to play a major role because of family ties or some level of proximity to the patient, assuming daily care function. However, the burden generated by informal caregivers for uninterrupted care is present at different levels (physical, mental, social, professional, and financial) and even in the prognosis of the patient.

The present study aims to evaluate the impact of stressors and overload on informal caregivers of cirrhosis patients.

Cross-sectional study, conducted with 54 informal caregivers of cirrhosis patients, followed up at the Liver Transplant Service Outpatient Clinic of the University of São Paulo School of Medicine Hospital das Clínicas, where they had access to a sociodemographic questionnaire, history of the patient's disease and the scale Burden Scale for Fas and the literature corroborate the importance not only of the patient, but also the informal caregiver's health.The levels of brain-derived neurotrophic factor (BDNF) in the corpus callosum have previously been shown to have a critical impact on oligodendrocyte (OLG) lineage cells during cuprizone-elicited demyelination. In particular, BDNF+/- mice exhibit greater losses in myelin protein levels compared to wild-type mice after cuprizone. To investigate whether OLGs may directly mediate these effects of BDNF during a lesion in vivo, we used the cuprizone model of demyelination with inducible conditional male knockout mice to specifically delete the high-affinity tropomyosin receptor kinase B (TrkB) receptor from proteolipid protein + OLGs during cuprizone-elicited demyelination and subsequent remyelination. The loss of TrkB during cuprizone-elicited demyelination results in an increased sensitivity to demyelination as demonstrated by greater deficits in myelin protein levels, greater decreases in numbers of mature OLGs, increased numbers of demyelinated axons, and decreased myelin thickness. When mice are removed from cuprizone, they exhibit a delayed recovery in myelin proteins and myelin. Our data indicate that following a demyelinating lesion, TrkB in OLGs positively regulates myelin protein expression, myelin itself, and remyelination.

Twitter at conferences facilitates remote interaction and spread of ideas. Through the use of hashtags, conference information can be gathered, referenced, disseminated, and discussed in 1 electronic location by attendees and nonattendees from remote locations. The aim of this study is to analyze the American College of Surgeons Clinical Congress (ACSCC) Twitter hashtag activities and evaluate its impact on meeting participation and engagement for the last 5 annual meetings.

Twitter hashtags #ACSCC15, #ACSCC16, #ACSCC17, #ACSCC18, and #ACSCC19 were studied to determine tweets, retweets, users, and impressions. Data regarding top influencers and the most tweeted links were analyzed. Symplur Signals, a software that specializes in hashtags, was utilized for the analyses.

Between 2015 and 2017, there was a consistent increase in tweets from 12 800 to 18 300 to 24 700, respectively. However, in 2018 and 2019, tweets dropped significantly to 19 700 and 19 300, respectively (

< .05). Additionally, impressions dropped significantly by 24 million impressions from 2017 to 2019 (115.