Barriers to telepsychiatry in the geriatric Asian American population during COVID-19

Due to the increase in anti-Asian discrimination during COVID-19, there has been a decline in mental health in the Asian community, particularly in the geriatric population.  Although the current literature tends to focus on the underutilization of telemedicine in the Asian American population due to cultural barriers, our research found that the barrier to access heavily contributed to this inequity. In this study, we discuss the limited language options for the geriatric Asian American population on a few large telepsychiatry platforms, including “Teladoc and BetterHelp”, during COVID-19. .

Adult Education as Snake Oil under the Guise of Democracy

Based on initial content analysis research into the semiotics of advertising for online learning, this paper extends our understanding of the commodification of education via the web by carefully examining the implications of this marketing on the goals of democracy, the just distribution of education and knowledge as resources, and the consequent impact on social justice and equity

Pembuatan Website E-Commerce Penjualan Barang Untuk Perusahaan PT. X Dengan Fitur Data Mining Generalize Sequential Pattern

PT. X is a company that sell cars and car\u27s spare parts by retail that use brick and mortar as base. PT. X want to make e-commerce website with hope that the website will help them expanding their market area for facing the rivalry with similar companies.The website poses online market feature that will help the users make their purchase and tracking their transaction they have done, users are divided into two category users and admin, admin are the PT. X promoting and selling their goods, while the users are the one who purchase through the website. This web is scripted using PHP, Ajax, and JavaScript, and user MySQL for creating the database. The development is done using notepad++ software.The data mining feature is based on generalize sequential pattern algorithm, where this feature is used to analyze the customers purchase behaviors and patterns by finding the connection between sold items based on time. Data is processed using the algorithm resulting frequent item sets that will turn into association rules in form of generalize sequential pattern table

Strategi Pengembangan USAha pada Depot Rice Box (Studi Kasus pada Aspek Pemasaran)

Analisa terhadap faktor lingkungan internal dan eksternal pada suatu USAha berguna untuk mengetahui kekuatan, kelemahan, peluang dan ancaman. Sehingga dapat diketahui hal-hal yang mempengaruhi dalam pengembangan suatu USAha. Penelitian ini bertujuan untuk menganalisa lingkungan internal dan eksternal yang mempengaruhi Depot Rice Box. Sehingga dapat disusun strategi alternatif melalui alat SWOT yaitu matrix SWOT. Jenis penelitian yang digunakan adalah penelitian deskriptif kualitatif studi kasus. Pengumpulan data dilakukan dengan wawancara, studi pustaka, pengamatan atau observasi. Penentuan narasumber menggunakan teknik snowball sampling. Keabsahan data diuji dengan triangulasi sumber. Dari hasil penelitian, Depot Rice Box memiliki beberapa kekuatan, kelemahan, peluang dan ancaman yang saling berkaitan. Peneliti mencoba membuat strategi yang sesuai dengan matrix SWOT untuk aspek pemasaran karena Depot Rice Box tidak memiliki strategi pemasaran yang optimal. Sementara untuk analisis lingkungan eksternal menggunakan Porter's Five Forces, menunjukkan adanya ancaman persaingan Perusahaan sejenis. Oleh karena itu peneliti menyarankan agar Depot Rice Box melakukan kegiatan pemasaran yang lebih gencar, mengingat pasar belum jenuh terhadap produk Depot Rice Box

Can climate‐effective land management reduce regional warming?

Limiting global warming to well below 2°C is an imminent challenge for humanity. However, even if this global target can be met, some regions are still likely to experience substantial warming relative to others. Using idealized global climate simulations, we examine the potential of land management options in affecting regional climate, with a focus on crop albedo enhancement and irrigation (climate-effective land management). The implementation is performed over all crop regions globally to provide an upper bound. We find that the implementation of both crop albedo enhancement and irrigation can reduce hot temperature extremes by more than 2°C in North America, Eurasia, and India over the 21st century relative to a scenario without management application. The efficacy of crop albedo enhancement scales with the magnitude, where a cooling response exceeding 0.5°C for hot temperature extremes was achieved with a large (i.e., ≥0.08) change in crop albedo. Regional differences were attributed to the surface energy balance response with temperature changes mostly explained by latent heat flux changes for irrigation and net shortwave radiation changes for crop albedo enhancement. However, limitations do exist, where we identify warming over the winter months when climate-effective land management is temporarily suspended. This was associated with persistent cloud cover that enhances longwave warming. It cannot be confirmed if the magnitude of this feedback is reproducible in other climate models. Our results overall demonstrate that regional warming of hot extremes in our climate model can be partially mitigated when using an idealized treatment of climate-effective land management

Digital Holography Experiments with Degraded Temporal Coherence

To simulate the effects of multiple-longitudinal modes and rapid fluctuations in center frequency, we use sinusoidal phase modulation and linewidth broadening, respectively. These effects allow us to degrade the temporal coherence of our master-oscillator laser, which we then use to conduct digital holography experiments. In turn, our results show that the coherence efficiency decreases quadratically with fringe visibility and that our measurements agree with our models to within 1.8% for sinusoidal phase modulation and 6.9% for linewidth broadening