BackgroundNon-invasive brain stimulation methods have been widely utilized in research settings to manipulate and understand the functioning of the human brain. In the last two decades, transcranial electrical stimulation (tES) has opened new doors for treating impairments caused by various neurological disorders. However, tES studies have shown inconsistent results in post-stroke cognitive rehabilitation, and there is no consensus on the effectiveness of tES devices in improving cognitive skills after the onset of stroke.ObjectivesWe aim to systematically investigate the efficacy of tES in improving post-stroke global cognition, attention, working memory, executive functions, visual neglect, and verbal fluency. Furthermore, we aim to provide a pathway to an effective use of stimulation paradigms in future studies.MethodsPreferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines were followed. Randomized controlled trials (RCTs) were systematically searched in four different databases, including Medline, Embase, Pubmed, and PsychInfo. Studies utilizing any tES methods published in English were considered for inclusion. Standardized mean difference (SMD) for each cognitive domain was used as the primary outcome measure.ResultsThe meta-analysis includes 19 studies assessing at least one of the six cognitive domains. Five RCTs studying global cognition, three assessing visual neglect, five evaluating working memory, three assessing attention, and nine studies focusing on aphasia were included for meta-analysis. As informed by the quantitative analysis of the included studies, the results favor the efficacy of tES in acute improvement in aphasic deficits (SMD = 0.34, CI = 0.02–0.67, p = 0.04) and attention deficits (SMD = 0.59, CI = −0.05–1.22, p = 0.07), however, no improvement was observed in any other cognitive domains.ConclusionThe results favor the efficacy of tES in an improvement in aphasia and attentive deficits in stroke patients in acute, subacute, and chronic stages. However, the outcome of tES cannot be generalized across cognitive domains. The difference in the stimulation montages and parameters, diverse cognitive batteries, and variable number of training sessions may have contributed to the inconsistency in the outcome. We suggest that in future studies, experimental designs should be further refined, and standardized stimulation protocols should be utilized to better understand the therapeutic effect of stimulation.

Background: Polycystic Ovarian Syndrome is a hormonal disorder and its symptoms exist in most of young females. In Pakistan, PCOS diagnosis is being reported at an alarming rate, however the frequency of early diagnosis is very low.Objectives: Objective of this community based study was to find out prevalence of PCOS related symptomology based on Rotterdam criteria in Punjab district of Pakistan. Moreover, the relationship between health status and PCO related quality of life was also assessed.Methods: 1258 young females within the age range of 18-25 years participated in a cross sectional survey from the various colleges of Punjab District. The participants completed the questionnaire of Short Form-36, Polycystic Ovarian Syndrome Questionnaire and Clinical Profile Form.Results: There was an increased prevalence of one or two PCOS symptoms (i.e., Menstrual Irregularity and Hirtuism) in most of young females. Most of the females were not aware of the PCOS phenomenon. Furthermore, pearson correlation analysis on study scales revealed that with increase in PCOS symptomology, there are chances that quality of life will be poor.Discussion and Conclusion: These findings suggest that still most of educated females are largely unaware about PCOS symptoms, it needs further expansion in terms of educational seminars to promote awareness about risk factors. The results of this study can be used by educational institutions or health care centers for promoting PCOS awareness and contributing towards early diagnosis and prevention.

In this progressive world traffic co issue. It results in huge amount of time and res in congestion is a valuable parameter for driv state of congestion. The proposed approach i the relationship of different transmission r density. This research work uses a GrooveNet based on real street maps and plays a major and disseminating congestion information. Ou are based on average values of number of congestion with respect to transmission range a Keywords-Vehicular Ad-hoc networks networks, GrooveNet simulator