There are few scales that reflect the function of the stroke-affected arm as it relates to the performance of daily activities while also indicating the difficulty of scale items. In this study, we developed the Activities Specific Upper-extremity Hemiparesis Scale (ASUHS) to evaluate daily activities performable by the affected arm after stroke. We also clarified the validity, reliability, and item difficulty of the scale. The participants were 145 patients with stroke who were consecutively admitted to a convalescent rehabilitation ward. The unidimensionality of ASUHS was assessed by principal component analysis. Analyses of item discrimination and content validity were conducted to assess the overall validity. Reliability was evaluated by assessing internal consistency and inter-rater reliability. Item difficulties were determined by Rasch analysis. Unidimensionality, high discrimination, and good content validity were shown for all items. ASUHS consists of a dominant hand scale and non-dominant handts in daily activities that match the affected arm's ability step by step rather than determining training activities empirically.This study investigates the way students experience synchronous online and offline meetings in university education, using a qualitative approach. The context is a course in teacher training that was forced to go fully online during the Covid-19 pandemic while the course was almost halfway to completion. After completion of the course, a semi-structured interview on the experiences during the online and offline synchronous meetings was conducted with six randomly selected students out of a total of 24. The interview was transcribed, coded, and second coding was performed. The results reveal that students generally prefer offline meetings because of higher levels of all types of student interactions (student-student, student-content, and student-teacher), and the higher level of relatedness. However, students do appreciate the possibility to perform small group work outside of class in an online environment. The results support the application of blended learning. Implications are discussed.The SARS-CoV-2 driven disease COVID-19 is pandemic with increasing human and monetary costs. COVID-19 has put an unexpected and inordinate degree of pressure on healthcare systems of strong and fragile countries alike. To launch both containment and mitigation measures, each country requires estimates of COVID-19 incidence as such preparedness allows agencies to plan efficient resource allocation and to design control strategies. Here, we have developed a new adaptive, interacting, and cluster-based mathematical model to predict the granular trajectory of COVID-19. We have analyzed incidence data from three currently afflicted countries of Italy, the United States of America, and India. We show that our approach predicts state-wise COVID-19 spread for each country with reasonable accuracy. We show that Rt, as the effective reproduction number, exhibits significant spatial variations in these countries. However, by accounting for the spatial variation of Rt in an adaptive fashion, the predictive model provides estimates of the possible asymptomatic and undetected COVID-19 cases, both of which are key contributors in COVID-19 transmission. We have applied our methodology to make detailed predictions for COVID19 incidences at the district and state level in India. Finally, to make the models available to the public at large, we have developed a web-based dashboard, namely "Predictions and Assessment of Corona Infections and Transmission in India" (PRACRITI, see http//pracriti.iitd.ac.in), which provides the detailed Rt values and a three-week forecast of COVID cases.Aloe vera L. is widely cultivated in many countries due to its importance as an all-purpose herbal or medicinal plant. https://www.selleckchem.com/products/gusacitinib.html The growth and yield of this plant can be enhanced by application of fertilizer. It is expected that a higher and balanced nutrient supply will result in higher crop production maintaining soil health, which is possible when the applied fertilizers are done in way that is efficient. So, there is a need to understand the amount of applied and type of fertilizer that will give the best output for farmers and to formulate economical market products. This study was conducted to investigate the effect of N fertilizer on leaf yield, its uptake and requirement, critical concentration, use efficiency and economics of Aloe vera L. Plants were grown at six levels of N 0, 40, 80, 100, 150 and 200 kg ha-1 from urea and diammonium phosphate (DAP) following completely randomized design with three replicates under field condition. The highest values of yield and yield attributes and profit based on benefit cost ratio (3.81 for urea and 2.91 for DAP) were obtained with 150 kg N ha-1 (urea) and 100 kg N ha-1 (DAP). Leaf biomass yield increased by 18-128 % in urea-N and 30-139 % in DAP-N fertilized plant over control while DAP > urea by 7.59 %. Sucker production (mean number) was urea-N (4.95 Plant-1) > DAP-N (2.28 Plant-1). Both gel and leaf N concentration and uptake was highest at 200 kg ha-1 for both sources. For 80 % leaf biomass yield, minimum requirement of N was ca 74.90 (urea) and 89.60 kg ha-1 (DAP). Growth and yield parameters to N application exhibited significant and positive correlations. Critical leaf N concentration was ca 0.88% (DAP) and 0.90% (urea) while mean and maximum NUE was 34% and 64 % (urea) and 43% and 69% (DAP), respectively. Farmers can be advised to apply N at the rate of 150 kg ha-1 from urea for producing economically higher yield and better-quality A. vera leaves.Customer is considered as the king in the world of business. The issue of customer satisfaction in electronics home appliances has received greater attention from academics and practitioners. In other words, customer satisfaction is a vital consideration in marketing. With the development of technology, new and innovative electronic home appliances are available in the market. Customers purchase and use the costly electronic home appliances where the satisfaction issue is an important concern. In Bangladesh, working families find the electronic home appliance very necessary. Companies offer state-of- the-art appliances for customers' household works. Therefore, the study intends to investigate the effect of product quality (PQ), quality of service (SQ) and perceived value on customer satisfaction (CS). In addition, this study also seeks this relationship shaped by customer's perceived value (CPV) as a key mechanism and interacted by social media usage. A total of 300 households were selected on a judgmental basis from Dhaka city in Bangladesh using a structured questionnaire.