The Yin and Yang of microRNAs: leukemia and immunity

Yin and Yang are two complementary forces that together describe the nature of real-world elements. Yin is the dark side; Yang is the light side. We describe microRNAs having both Yin and Yang characteristics because they can contribute to normal function (Yang) but also to autoimmunity, myeloproliferation, and cancer (Yin). We have been working on a number of microRNAs that have these dual characteristics and here we focus on two, miR-125b and miR-146a. We have concentrated on these two RNAs because we have very extensive knowledge of them, much of it from our laboratory, and also because they provide a strong contrast: the effects of overexpression of miR-125b are rapid, suggesting that it acts directly, whereas the effects of miR-146a are slow to develop, suggesting that they arise from chronic alterations in cellular behavior

So, What is Columbia Global Reports Anyway?

In the first episode of Underreported, we bring in the team to talk about Columbia Global Reports' mission, our lessons learned from entering the book business, and populism's role in the German election

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Variational autoencoders (VAEs) are powerful tools for learning latent representations of data used in a wide range of applications. In practice, VAEs usually require multiple training rounds to choose the amount of information the latent variable should retain. This trade-off between the reconstruction error (distortion) and the KL divergence (rate) is typically parameterized by a hyperparameter $\beta$. In this paper, we introduce Multi-Rate VAE (MR-VAE), a computationally efficient framework for learning optimal parameters corresponding to various $\beta$ in a single training run. The key idea is to explicitly formulate a response function that maps $\beta$ to the optimal parameters using hypernetworks. MR-VAEs construct a compact response hypernetwork where the pre-activations are conditionally gated based on $\beta$. We justify the proposed architecture by analyzing linear VAEs and showing that it can represent response functions exactly for linear VAEs. With the learned hypernetwork, MR-VAEs can construct the rate-distortion curve without additional training and can be deployed with significantly less hyperparameter tuning. Empirically, our approach is competitive and often exceeds the performance of multiple $\beta$-VAEs training with minimal computation and memory overheads.Comment: 22 pages, 9 figure

Antarmuka Aplikasi CMS (Content Management System)

CMS : Merupakan sebuah aplikasi untuk pengelolaan konten (Content Management System). Aplikasi ini dapat digunakan oleh pihak LCD (Learning Center Department) dan akan tersambung dengan E-Learning UMN. Pihak Editor sebagai pembuat konten dan juga perwakilan dosen sebagai user juga dapat mengakses CMS ini untuk melakukan pembuatan konten serta request untuk konten tertentu

The Tutorial Video and Improving Service Value in The Broadcasting Laboratory of Universitas Multimedia Nusantara

The topic in this research is the use of tutorial video in the UMN broadcasting laboratory as its innovation and service improvement. 58% problems of the laboratory users are difficulty in recognizing the types and they do not know how to use the equipment. Implementation of Digital Maturity Model (DMM) and Digital Transformation Project (DTP) are the problem solving for this case study and will give more benefits for services value. This study uses a quantitative approach, taking questionnaire data regarding the response of the DMM in the laboratory and then The Business Capabilities of the institution. A gap of laboratory services, the current conditions are on average at the emerging level, and the expected future conditions are on average at the leading level. The tutorial video is an effective way of conveying information, these are expected to increase the user satisfaction

ANTARMUKA APLIKASI EiWiP

Merupakan sebuah aplikasi dan berasal singkatan dari Evaluation Work Performance. Aplikasi ini dapat digunakan dalam mengawasi kinerja karyawan dan dapat membantu karywan dalam pelaporan kerja ataupun absensi. Selain itu manajerial dapat memantau kinerja setiap karyawan didalam divisi mereka secara real tim

Penerapan Sistem Informasi Okupansi Kamar Rawat Inap Berbasis Website Pada Puskesmas Keranggan Tangerang Selatan

Kebutuhan masyarakat akan pentingnya informasi seputar kesehatan adalah tanggung jawab dari setiap lembaga kesehatan. Puskesmas adalah ujung tombak dari pelayanan kesehatan masyarakat yang meliputi kesehatan masyarakat umum, Ibu hamil, balita dan perawatan secara intensif. Banyak dari masyarakat yang sudah bergantung pada Puskemas dikarenakan lokasi yang mudah dijangkau, biaya yang murah atau bahkan gratis dengan pelayanan yang baik. Upaya dalam pengelolaan kesehatan masyarakat di daerah Keranggan dan Pademangan menjadi wilayah kerja dari Puskesmas Keranggan. Saat ini Puskesmas Keranggan memiliki 6 kamar yang dapat menangani pasien yang membutuhkan perawatan secara intensif. Kendala yang dihadapi adalah pengaturan / okupansi kasur dari kamar rawat inap yang masih diatur secara manual sehingga data penggunaan kamar rawat inap tidak dapat dipantau secara real time oleh petugas Puskesmas maupun calon pasien yang membutuhkan kamar rawat inap. Tampilan lainnnya yang akan disiapkan adalah data jadwal imunisasi, jadwal pemeriksaan kehamilan berkala dan pemeriksanaan kesehatan gratis untuk warga Keranggan dan Pademanga

Determinant Factors of Adoption of Fintech Payment Services in Indonesia using the UTAUT Approach

The advancement of digital technology has affected many industries, including digital payment services. The objective of this study was to analyze the adoption of Fintech payment services in Indonesia using the UTAUT theory approach. This study also considered the important role of national culture in strengthening the effect of the social influence variable in creating trust. The study added the government policy variable in strengthening the effect of facilitating a condition in creating trust. The study was conducted by distributing 310 questionnaires to freshly employed graduates who were digital payment services users. Further analysis was conducted with linear multiple regression using IBM SPSS 26. The study found that trust had the highest effect in creating the adoption decision in digital payment services, followed by government policies in strengthening the facilitating conditions. Meanwhile, performance and effort expectancy, social influence and facilitating condition did not have a direct influence on customer trust. Uncertainty avoidance, masculinity and long-term orientation also did not have a strengthening effect of social influence in gaining trust