Unsupervised cryo-EM data clustering through adaptively constrained K-means algorithm

In single-particle cryo-electron microscopy (cryo-EM), K-means clustering algorithm is widely used in unsupervised 2D classification of projection images of biological macromolecules. 3D ab initio reconstruction requires accurate unsupervised classification in order to separate molecular projections of distinct orientations. Due to background noise in single-particle images and uncertainty of molecular orientations, traditional K-means clustering algorithm may classify images into wrong classes and produce classes with a large variation in membership. Overcoming these limitations requires further development on clustering algorithms for cryo-EM data analysis. We propose a novel unsupervised data clustering method building upon the traditional K-means algorithm. By introducing an adaptive constraint term in the objective function, our algorithm not only avoids a large variation in class sizes but also produces more accurate data clustering. Applications of this approach to both simulated and experimental cryo-EM data demonstrate that our algorithm is a significantly improved alterative to the traditional K-means algorithm in single-particle cryo-EM analysis.Comment: 35 pages, 14 figure

Sustainabilitas Arsitektur Masjid: Evaluasi Konsep “Simple Architecture” sebagai Implementasi Desain Arsitektur Berkelanjutan suatu Kawasan

Makalah ini membahas aspek-aspek “kesederhanaan” (simplicity) sebagai konsep desain bangunan masjid secara berkelanjutan (sustainable) sesuai konteks dengan mengambil studi kasus masjid kawasan Al-Irsyad Satya Kota Baru Parahyangan, Bandung. Masjid sebagai subyek arsitektur dan pusat ibadah menjadi ruang publik yang didesain dari elemen-elemen yang secara ideal mengandung nilai-nilai Islam dan bertujuan mendukung fungsinya. Desain masjid berkonsep simple atau “sederhana” digunakan sebagai alternatif kontemporer untuk mengoptimalisasi fungsi tersebut, meliputi struktur bangunan hingga biaya pemeliharaan (maintenance) sesuai prinsip keberlanjutan. Keterkaitan erat bangunan masjid dengan aktivitas masyarakat berpotensi melibatkan partisipasi masyarakat dan pengelola dalam menerapkan program sustainabilitas sesuai konteks lingkungannya. Metode yang digunakan dalam penelitian ini berbasis pendekatan Grounded Theory secara kualitatif melalui pengumpulan data dari kegiatan observasi, interview dan analisis program keberlanjutan kawasan. Penelitian menemukan keterkaitan konsep “sederhana” yang mendukung sustainabilitas desain sekaligus menggarisbawahi evaluasi konsep desain “sederhana” yang hadir serta faktor pemeliharaan/pengembangan masjid dan kawasan

THE EFFECT OF PLYOMETRIC TRAINING FOR LOWER EXTREMITIES STRENGTH AND POWER IN HIGH-SCHOOL FEMALE BASKETBALL PLAYERS

Plyometric training is one of very prevailing training methods. It has its unique effect compared to other training methods. Having targeted 16 girl basketball players in senior high school, a set of box horse curriculum was designed with polymetric training for the study. The players were randomly divided into experimental groups (respectively with 30, 40, and 50 cm of box horse) and control group, four players for each group. Except for the control group, the other three groups had to receive 12 weeks of box horse training in addition to general basketball course training. The results of the study showed: Based on the plyometric training designed and applied to senior high school girl basketball players, this study shows that either CMJ or CJ has its effect

Using Pattern Recognition for Investment Decision Support in Taiwan Stock Market

In Taiwan stock market, it has been accumulated large amounts of time series stock data and successful investment strategies. The stock price, which is impacted by various factors, is the result of buyer-seller investment strategies. Since the stock price reflects numerous factors, its pattern can be described as the strategies of investors. In this paper, pattern recognition concept is adapted to match the current stock price trend with the repeatedly appearing past price data. Accordingly, a new method is introduced in this research that extracting features quickly from stock time series chart to find out the most critical feature points. The matching can be processed via the corresponding information of the feature points. In other words, the goal is to seek for the historical repeatedly appearing patterns, namely the similar trend, offering the investors to make investment strategies

LncRNA-p21 alters the antiandrogen enzalutamide-induced prostate cancer neuroendocrine differentiation via modulating the EZH2/STAT3 signaling

While the antiandrogen enzalutamide (Enz) extends the castration resistant prostate cancer (CRPC) patients' survival an extra 4.8 months, it might also result in some adverse effects via inducing the neuroendocrine differentiation (NED). Here we found that lncRNA-p21 is highly expressed in the NEPC patients derived xenograft tissues (NEPC-PDX). Results from cell lines and human clinical sample surveys also revealed that lncRNA-p21 expression is up-regulated in NEPC and Enz treatment could increase the lncRNA-p21 to induce the NED. Mechanism dissection revealed that Enz could promote the lncRNA-p21 transcription via altering the androgen receptor (AR) binding to different androgen-response-elements, which switch the EZH2 function from histone-methyltransferase to non-histone methyltransferase, consequently methylating the STAT3 to promote the NED. Preclinical studies using the PDX mouse model proved that EZH2 inhibitor could block the Enz-induced NED. Together, these results suggest targeting the Enz/AR/lncRNA-p21/EZH2/STAT3 signaling may help urologists to develop a treatment for better suppression of the human CRPC progression