Miracle-dz/UniFAR-FTUs huggingface dataset:
MITOCHONDRIAL CYTOCHROME C OXIDASE I ( MTCOI ) GENE-BASED MOLECULAR DIAGNOSTIC KIT FOR PYRILLA PERPUSILLA WALKER ( HEMIPTERA : LOPHOPIDAE )

A DNA barcode was developed for sugarcane leaf hopper Pyrilla perpusilla Walker (Hemiptera: Lophopidae). The DNA barcode developed in this study is 658 bp in size and its amino acid sequence does not have any stop codon in it. The uninterrupted open reading frame indicated the flawlessness of the barcode generated in this study. The DNA barcode developed by us is the first report and it would certainly serve as an ideal molecular diagnostic kit for P. perpusilla. The extent of identity between the barcode sequences of P. perpusilla and other important hemipteran pests of sugarcane varied widely between 61.33 and 72.04%. The wide variation that exists between the barcode sequences of P. perpusilla and other cane-infesting hemipterans clearly indicates that the barcode developed in this study certainly identifies the species without any ambiguity.
STRATEGI DAKWAH SALAFI DI INDONESIA

Pertumbuhan dakwah Salafi di Indonesia mencapai puncaknya setelah tumbangnya rezim Orde Baru. Kemunculannya berawal dari Dewan Dakwah Islam Indonesia (DDII) dan Lembaga Ilmu Pengetahuan Islam dan Bahasa Arab (LIPIA), yang memperkenalkan manhaj salâf as-sâlih kepada umat Islam Indonesia. Mereka didukung oleh lembaga-lembaga donor dari Timur Tengah berupa pendidikan gratis di Timur Tengah serta dana untuk mendirikan lembaga-lembaga untuk menunjang eksistensi dakwah Salafi, seperti pendirian yayasan, sekolah, rumah sakit, pondok pesantren, dan lembaga kursus bahasa Arab. Di samping mendirikan lembaga-lembaga formal, mereka pun mengisi ceramah keagamaan, khutbah, tablig akbar, halaqah, dan daurah. Kegiatan-kegiatan tersebut didokumentasikan menjadi kaset, VCD, DVD, yang kemudian dijual bersama buku, jurnal, dan majalah. Di samping itu, ada pula yang memberikan tausiah, nasehat, dan dakwah melalui media penyiaran, seperti stasiun televisi dan radio, serta dunia maya, seperti website, blog, mailing list (milis), dan jejaring sosial.
Data Cleaning in Out-of-Core Column-Store Databases : An Index-Based Approach

Write optimization in out-of-core (or external memory) column-store databases is a well-known challenge. Timestamped Binary Association Table (or TBAT) and Asynchronous Out-of-Core Update (or AOC Update) have shown significant improvements for this problem. However, after a time period of AOC updates, the selection query performance on TBAT gradually decreases. Even though data cleaning methods can merge update records in TBAT to increase ad-hoc searching speed, it could be a time-consuming process. In this work, we introduce multiple data cleaning methods utilizing the index structure called offset B-tree (or OB-tree). When the OB-tree and updating records can be fit into the system memory, an eager data cleaning approach is introduced for fast cleaning speed. In a data intensive environment, the OB-tree index or the updating records might be too large to fit into memory; therefore, a progressive data cleaning approach is introduced which can divide the update records into small slips and clean the data a memory-economic manner. keywords: column-store database, data cleaning, index, B-tree
Part 2 : Global change , Ecosystems and Biodiversity

5 INTRODUCTION. 7 GENERAL DESCRIPTION OF THE STUDY AREAS . 9 PART 1: THE DEVELOPMENT AND EVALUATION OF (NEW) BIOLOGICAL PROXIES FOR ENVIRONMENTAL RECONSTRUCTION . 11 A. DIATOMS AND FOSSIL PIGMENTS. 11 A.
Image Seam Carving Based on Content Aware Resizing by Gradient Method

In this paper, bilateral filter and seam carving is implemented to get an image that is retargeted to a new size and has a clear appearance. Bilateral filter is used to enhance images by smoothing texture and preserving edges. The implemented seam carving for content aware image resizing gives better results in resizing images than the standard scaling and cropping techniques. Also, six types of edge detection filters are used in this paper to preserve the energy of image objects, and evaluation for these filters is done to find the best energy preserver among those six types.
EFFECT OF PROTEIN KINASE CK 2 INHIBITORS ON ITS CATALYTIC SUBUNITS СК 2 α AND СК 2

29 Protein kinase CK2 is a conserved Ser/Thr kinase that present in all eukaryotic cells. CK2 is highly pleiotropic and have many targetproteins (more than 300) which are present in most cell compartments. This enzyme is essential for cell viability and it takes part in such important processes as t-RNA and r-RNA synthesis, apoptosis, transformation, transcription, proliferation and control of cellular cycle [1]. The role of this protein kinase in the development of cancer, diabetes, viral, inflammatory and neurodegenerative diseases was determined [2]. Taking into consideration that CK2 regulates important physiological and pathological processes many studies have been directed towards determination of its threedimensional structure. It was shown that CK2 is a tetramer consisting of two catalytic (a and/or a′) and two regulatory (β) subunits. Recently third catalytic subunit СК2a′′ has been identified and characterized in human [3]. So, enzyme tetramer may be composed of aaββ, aa′ββ, a′a′ββ, aa′′ββ, a′a′′ββ, a′′a′′ββ. Both subunits СК2a and СК2a′ have catalytic domains and are constitutively active whereas СК2β-subunits are regulatory and influence on the stability and substrate specificity of a-type subunits [4]. The global sequence similarity between catalytic subunits is about 75%, and this value increases to 86% if we consider the N-terminal fragment 1–329 (1–330 in СК2a′). On the contrary, the C-terminal domain is different in length (СК2a′ is 41 residues shorter then СК2a) and sequence similarity (only 38%) [5]. Other important feature of the isoenzymes structure is difference in the amino acid sequence of their ATP-binding sites hinge regions: CK2asubunit contains His115-Val116 residues, and CK2a′ — Tyr116-Ile117. This feature can be used for development of isoform-specific inhibitors. Although catalytic subunits are the products of the expression of different genes it was found that a-subunit is able to compensate the absence of СК2a′. Mice which have knock-out gene coding СК2a′ can birth viable offspring. It has to be noted that the ability of CK2a to compensate functionally for the lack of CK2a′ is not absolute because the male offspring was born sterile and displayed a defect in spermatogenesis while knock-out of the gene encoding CK2a-subunit led to UDK 577.322, 577.152. 271 doi 10.15407/biotech7.06. 029
Computing and the Political World

After a framework for conceptualizing the impacts of computing on the political world is briefly described, four broad types of impacts are analyzed: capabilities, interactions, orientations, and value distributions. Generalizations, based on a synthesis of empirical research, summarize our current understandings about the impacts of computing on politics and public sector organizations. Overall, computing has increased the information power, efficiency and centralization of control within the political world. Political interactions have become more transparent and complex, hence more difficult. While political orientations seem little changed to this point, computing has generally reinforced the existing distribution of power and values.
Smuggling examples for deep learning

Built on the top of adversarial images, I show in this paper the existence of smuggling examples: small perturbations (precomputed thank to the test set) of training data which leads to unfairly high results on test set. I present here results on CIFAR10 only with VGG only. However, these preliminary results show the capacity of smuggling examples.
Radiation doses in flat detector digital systems in Interventional Cardiology procedures

The purpose of the study was to investigate patient radiation doses in flat detector (FD) digital X-ray systems in Interventional Cardiology procedures in three of the busiest haemodynamic departments in Greece and compare the results with the corresponding reference levels (RLs). Material and method: 569 Coronary Angiography (CA) and 571 Percutaneous Transluminal Coronary Angioplasties (PTCA) were investigated since these two procedures are the most frequently performed in haemodynamic units. Patient data collected were: sex, age, weight, height, Dose Area Product (DAP), fluoroscopy time (T) and total number of frames (F). Results: Median values of DAP and F in CA were: 31.0 Gycm and 752 in Hospital A, 35.3 Gycm and 487 in Hospital B and 21.1 Gycm and 461 in Hospital C. Median values of DAP and F in PTCA were: 63.2 Gycm and 1274 in Hospital A, 90.3 Gycm and 974 in Hospital B and 35.6 Gycm and 582 in Hospital C. Concerning T, the timer in Hospital C malfunctioned, whereas in hospitals A and B examination time was 4.7 and 3.6 min for CA and 10.3 and 12.7 min for PTCA, respectively. The results reveal a noted variability between hospitals especially in PTCA. However, patient dose values are lower than RLs (45 and 85 Gycm in CA and PTCA respectively). Conclusions: Large variations between patient dose values and main technical parameters were revealed when using FD digital systems in Greece. Dose optimization can be greatly achieved through continuous staff education in radiation protection issues. Moreover, the standardization of IC procedures in digital flat panel systems will definitely decrease patient and staff doses.
A novel interface for audio based sound data mining

In this paper, the design of a web interface for audio-based sound data mining is studied. The interface allows the user to explore a sound dataset without any written textual hint. Dataset sounds are grouped into semantic classes which are themselves clustered to build a semantic hierarchical struc-ture. Each class is represented by a circle distributed on a two dimensional space according to its semantic level. Sev-eral means of displaying sounds following this template are presented and evaluated with a crowdsourcing experiment.
Device-to-Device Channel Allocation based on Neighborhood Information

Device-to-Device transmission is one of the enabling technologies of 5G, with a potential of significantly improving the spectral efficiency. Spectral reuse in D2D underlay necessitates interference management. A challenge in D2D underlay systems is the increased number of D2D and interfering links and CSI feedback requirement. In this work we propose a solution for D2D channel allocation, which requires only the neighbor information of D2D communicating nodes. We aim to maximize the supported D2D pairs with a constraint on the interference caused at the base station, at each subchannel. We formulate the problem as a Mixed Integer Programming (MIP). We also propose suboptimal allocation algorithms and evaluate and compare their performances by simulations. Numerical results reveal that the proposed algorithms perform quite close to the MIP-based solution.
EMG Working Paper Series WP-EMG-01-2012 ‘ Global Crises and Equity Market Contagion ’

Using the 2007-09 financial crisis as a laboratory, we analyze the transmission of crises to country-industry equity portfolios in 55 countries. We use a factor model to predict crisis returns, defining unexplained increases in factor loadings and residual correlations as indicative of contagion. We find statistically significant evidence of contagion from US markets and from the global financial sector, but the effects are economically small. By contrast, there has been substantial contagion from domestic equity markets to individual domestic equity portfolios, with its severity inversely related to the quality of countries’ economic fundamentals and policies. This confirms the old “wake-up call” hypothesis, with markets and investors focusing substantially more on countryspecific characteristics during the crisis. JEL No.: F3, G14, G15
Temperature programmed desorption and infrared spectroscopic studies of thin water films on MgO ( 100 )

Thin water (D2O) films on MgO(100) surfaces have been studied. Water was deposited at 115 K and monolayer and multilayer films were prepared by annealing above 150 K, where the transition from amorphous solid to cubic ice is known to take place, and then re-cooling. Temperature programmed desorption traces and transmission Fourier transform infrared spectra were recorded. For the monolayer, results are consistent with an essentially flat, hydrogen-bonded water network without a significant amount of dangling OD. Ice growing on the monolayer appears to be a blend of amorphous and crystalline solid at 115 K, becoming more crystalline when annealed. 2005 Published by Elsevier B.V.
Prediction of epileptic seizure onset

Records of brain electrical activity from intracranial EEG are analyzed to predict the epileptic seizure onset. We present a method based on the evolution of the accumulated energy, but using wavelet analysis. This mathematical tool allows to analyze the accumulated energy in frequencies bands. In spite of the number of patients is small, we could claim that this is a good method to predict epileptic seizures. Key-Words: Intracranial EEG, Epilepsy, Wavelet Analysis, Epileptic seizure, Prediction
’ s Choice : Soft Matter : Synthesis , Processing and Products Machine Learning for Crystal Identification and Discovery

As computers get faster, researchers—not hardware or algorithms—become the bottleneck in scientific discovery. Computational study of colloidal self-assembly is one area that is keenly affected: even after computers generate massive amounts of raw data, performing an exhaustive search to determine what (if any) ordered structures occur in a large parameter space of many simulations can be excruciating. We demonstrate how machine learning can be applied to discover interesting areas of parameter space in colloidal self-assembly. We create numerical fingerprints—inspired by bond orientational order diagrams—of structures found in self-assembly studies and use these descriptors to both find interesting regions in a phase diagram and identify characteristic local environments in simulations in an automated manner for simple and complex crystal structures. Utilizing these methods allows analysis to keep up with the data generation ability of modern high-throughput computing environments. VC 2018 American Institute of Chemical Engineers AIChE J, 64: 2198–2206, 2018
Iterative Bayesian Demand Response Estimation and Sample-Based Optimization for Real-Time Pricing

Dynamic pricing will introduce significant load fluctuation in the wholesale markets than we see nowadays as customers respond to price signals in real-time. In this paper, we propose an iterative estimation-optimization approach for real-time wholesale market pricing in response to stochastic load fluctuations. For additive and multiplicative demand response models, we apply a Bayesian approach to continuously update the models. The estimated demand response models are then fed into an expectation-base or a risk-averse optimal flow problem to find bus phase angles, real power injections, and bus prices simultaneously. We also present preliminary numerical results using simulated data.
Distributed Control Protocols for Vehicular Platoons

Vehicular platoons are a critical foundation for enhanced safety, improved highway utility, increased fuel economy, and reduced emission toward intelligent transportation systems. This work considers the formation problem for vehicular platoons in 1-D and 2-D Euclidean space from an automatic control point of view. We model mathematically each vehicle as a 2nd order dynamical system, that has limited sensing information based on distance sensors. We design closed form control laws that depend only on that limited information that guarantee collision avoidance as well as connectivity breaks between successive vehicles, ensuring thus the successful formation of the vehicular platoon. Certain designed-specified performance functions determine the transient and steady state of the system. Finally, simulations and experiments verify the proposed scheme.
TOWARD SECURE COMPUTATIONS IN DISTRIBUTED PROGRAMMING FRAMEWORKS : FINDING ROGUE NODES THROUGH HADOOP LOGS

MapReduce programming paradigm is used to process big data in large number of commodity computers where parallel processing is leveraged. In this kind of programming phenomenon, users do not have control over distributed computations. Therefore it is quite natural for users having privacy and security concerns. The nodes involved in MapReduce computations may become malicious and cause security issues. Different attacks are possible on distributed environment. The nodes that cause such attacks are known as rogue nodes. In this paper a methodology is proposed based on analysis of Hadoop log files to find rogue nodes that are malicious and launch attacks for disturbing normal functioning of MapReduce framework. In other words, the methodology aims at integrity verification of computations in MapReduce environment. This is achieved without having any cryptographic primitives or other computational operations. Hadoop logs and low-level system calls are utilized and correlated in order to obtain operations performed by different nodes. This knowhow is then matched with system calls and invariants in program to find out malicious operations and the rogue nodes that cause such operations. The proposed methodology is evaluated with real Hadoop cluster environment to demonstrate proof of the concept. The empirical results revealed the significance of using this approach towards secure computations in distributed programming frameworks while processing big data.
Effects of Straight Lifters on Heating and Mixing Processes in Rotating Drums

In this work, the discrete element method (DEM) is applied to investigate the heating and mixing processes in rotating drums which are prevalently introduced to deal with particulate materials in many industries. Rather than conventional hollow drums, the drums with straight lifters are systematically analyzed. A normalized heat transfer coefficient (HTC) has been used to describe heat transfer performance. And a mixing rate based on Lacey mixing index has been employed to represent mixing process. Through simulations, it is found that both operational conditions and structural parameters affect significantly the drum’s performance. Increasing rotating speeds could remarkably promote the heat transfer process as well as the mixing in the granular bed. Comparing with lifter number, the rising lifter height has better enhancement on the heating and mixing. Finally heat transfer mechanisms in the drums have been discussed. It is concluded that the heat transfer inside the particle flow is mainly affected by rotating speeds and changing lifter heights dominates the heat transfer due to particle-wall contact area.
HOW TO SELECT A BETTER CACHE STRATEGY TO IMPROVE VIDEO DISTRIBUTION PERFORMANCE

In recent years, streaming media usage on the Web has increased by more than 100% a year, and from 2000 to 2005 the total volume of streaming media files stored on the Web increased by more than 600%. According to projections, all forms of videos (TV, video on-demand, Internet video and peer-to-peer video) will exceed 91% of global traffic by 2014 (CISCO, 2010). However, unlike the traditional TV, which is designed for one purpose only and where any digital video can be watched, the Internet is not planned for video. In the Internet environment the congestion and jitter are unpredictable, causing a poor Quality of Experience (QoE) for the end users. In addition, the high network distance causes elevated bandwidth consumption, increasing the costs for video content distribution. This work shows how to choose the best cache strategy according to the goals of the organization, which can reduce the bandwidth consumption or improve the QoE, providing better results related to Video on-Demand (VoD) distribution. We show that the suitable approach can reduce bandwidth consumption in 100% for small caches and YouTube content.
Title Anti-Hexokinase 1 Antibody as a Novel Serum Biomarker of aSubgroup of Diabetic Macular Edema

Right © The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Structured management and tax planning practices in the firm

This paper considers the effect of structured management practices on tax planning behavior of domestic and multinational enterprises (MNEs). In principle, management practices improve productivity and hence should increase taxable corporate income of firms. However, better managed firms may also be better at tax avoidance, which makes the net effect unclear. We empirically explore this relationship using a unique dataset on managerial structures matched to firm-level financial data for 19 countries; we have five main findings. First, we show that firms with more structured management practices have higher reported profits, and the relationship is stronger for MNEs. Second, MNEs with more structured practices have higher reported profits in low tax countries relative to high tax countries. Third, using the MNE parent company information, we classify firms as being in a high or low-tax host or home country. We show that MNEs from a high-tax home country operating in a low-tax host country exhibit a positive relationship between reported profits and structured management practices, while the opposite relationship exists for MNEs from high-tax home countries located in hightax host countries. Fourth, we show that these firms also tend to report close to zero returns on assets in high-tax countries. Fifth, we show that “aggresive tax avoiders” (firms from high-tax home countries operating in low-tax host countries) tend to adopt more structured management practices in their firms. These patterns are consistent with structured management firms shifting profits out of high-tax country affiliates into low-tax country affiliates. ∗katarzyna.anna. bilicka@gmail.com †dscur@mit.edu
A HIGH-ORDER ACCURACY EXPLICIT DIFFERENCE SCHEME WITH BRANCHING STABILITY FOR SOLVING FOUR-DIMENSIONAL PARABOLIC EQUATIONS

A high-order explicit difference scheme for solving four-dimensional parabolic equations is given. The scheme is constructed by the method of undetermined coefficients, and appropriate parameter is chosen to endow the truncation error of schemes is O ( ∆t +∆x ) . And the new difference scheme is proved to be stable if r ≤ 1 12 with the Fourier analysis method. Finally, the numerical experiment shows the numerical solutions of difference scheme and the exact solutions are matched and the difference scheme is effective.