ABSTRACT
With COVID-19 necessitating a shift to online teaching and professional development, a unique opportunity to study online instructional coaching emerged. With prior evidence that the provision of a STEM curriculum unit and online coaching supported a first-year science teacher in improving his instructional practices, this study utilized interaction analysis to explore the coaching moves that were implemented by three STEM instructional coaches and identify the online coaching moves that prompted teacher reflection. Findings highlight the distinct coaching styles of the individual coaches and the range of moves that preceded teacher reflection. Implications for online instructional coaching are considered. © ISLS.
ABSTRACT
BACKGROUND: The SAR-CoV-2 pandemic continues to negatively impact the healthcare system globally with over 800,000 deaths in the United States and millions more worldwide. The cases are rising despite availability of vaccines. For most immunocompetent patients these vaccines will generate a humoral response and also a memory T-cell response. Few if any studies have reported data that measure anti-spike IgG titers and also correlate those titers with clinical outcomes in the instance of breakthrough infection. METHODS: We conducted a pilot prospective observational clinical study enrolling 30 immunocompetent patients who were admitted with a positive SARS-CoV-2 PCR. Leftover blood from admission was used to obtain antispike and anti-nucleocapsid antibody levels. Baseline characteristics were collected and patients were divided into two categories based on anti-spike antibody level and vaccination status. Clinical outcomes including mortality, major adverse cardiac events (MACE), overall length of stay (LOS), ICU LOS, maximum oxygen support needs, and mechanical ventilation needs were analyzed on day 28 in both categories. RESULTS: On analyzing the patients enrolled, the median age was 59 years, 56.67% were female and 73.3% were Caucasian. 6 patients (20%) were asymptomatic, and 63.3% patients had hypertension. Among all patients, the median duration of symptoms was 7 days, and the median LOS was 7 days as well.Anti-spike antibody was detected in 22 patients (73.33%), and the median value was 956. Anti-nucleocapsid antibody was positive only in 9 patients (30%). Three patients (10%) were admitted to ICU, and all 3 were mechanically ventilated. Four patients (13.33%) had a MACE event in those 28 days, and 5 patients (16.67%) died. Comparing vaccinated vs unvaccinated: 3/5 deceased patients were unvaccinated, and 2/3 mechanically ventilated were unvaccinated as well but these were not statistically significant. 0.6% patients were asymptomatic in unvaccinated group versus 33% in the vaccinated group. Among the 7 patients with high oxygen needs (fio2 100%), 5 had undetectable anti-spike antibodies, and one had low value (89.6). 2 out of 3 mechanically ventilated and 3 out of 5 deceased patients had undetectable anti-spike antibodies. CONCLUSIONS: Our pilot study did not show significance in outcomes between vaccinated and unvaccinated patients, but this relation has been verified in multiple larger studies. We also noted patients with undetectable/ low anti- spike antibody levels had increased fio2 needs, ICU admission, and mortality.However, it was not feasible to compare both these findings between groups due to less number of patients. This demands a larger study to better describe these relations.
ABSTRACT
The study focuses on intercompany inventory share policies between e-groceries. Companies are attempting to adapt to the Internet of Things environment considering, the increased amount of e-commerce throughout the world, as well as the effect of the COVID-19 pandemic. The goal of the study is to create a strong bond between companies by taking advantage of today's technology and helps in the reduction of capital risk. These relationships may also lead to greater market share, reduced inventory, enhanced delivery services, higher quality, and faster product development cycles with the help of inventory visibility. This research studies two inventory sharing strategies among e-grocers to improve the supply network's efficiency and responsiveness. The policies considered in this study include share policies based on expiration dates and share policies based on distance - inventory. We use a simulation modeling technique to represent such policies. Besides, in an effort to compare how lateral inventory share implementation affects the system performance, non-inventory sharing policy has been modeled and these three policies were compared. The goal of this study is to determine the best s, S inventory management levels in e-groceries under those rules. Here, s and S represent, re-order and order-up-to levels for replenishment of products. We are motivated to do this study to decrease food waste in such a food network since management of perishable food products is important owing to their perishable feature. Distance, average freshness, average inventory, and waste product numbers were compared in this project based on the lowest inventory number in line with three main policies. The opt quest tool was used in the arena to find the results. Consequently, company owners should choose Expiration Date policy as it has advantages such as total number of waste products and average inventory level. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.