Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comprehensive Analysis of MicroProteins Reveals Their Potentially Widespread Mechanism of Transcriptional Regulation1[W]

Transcription factor-like proteins without a DNA binding domain, are involved in a potentially ubiquitous layer of transcriptional regulation. Truncated transcription factor-like proteins called microProteins (miPs) can modulate transcription factor activities, thereby increasing transcriptional regulatory complexity. To understand their prevalence, evolution, and function, we predicted over 400 genes that encode putative miPs from Arabidopsis (Arabidopsis thaliana) using a bioinformatics pipeline and validated two novel miPs involved in flowering time and response to abiotic and biotic stress. We provide an evolutionary perspective for a class of miPs targeting homeodomain transcription factors in plants and metazoans. We identify domain loss as one mechanism of miP evolution and suggest the possible roles of miPs on the evolution of their target transcription factors. Overall, we reveal a prominent layer of transcriptional regulation by miPs, show pervasiveness of such proteins both within and across genomes, and provide a framework for studying their function and evolution.
Calculation of provocative concentration causing a 20% fall in FEV(1): comparison of lowest vs highest post-challenge FEV(1).

BACKGROUND Considerable, unexamined controversy exists surrounding the use of the highest vs the lowest FEV(1) for calculating the provocative concentration causing a 20% fall in FEV(1) (PC(20)) during direct bronchoprovocation challenges. OBJECTIVE To compare the PC(20) calculated using the lowest FEV(1) post-diluent and post-histamine/methacholine vs the PC(20) calculated using the highest FEV(1) post-diluent and post-histamine/methacholine. METHOD Retrospective analysis of 225 challenges: 75 research methacholine challenges, 75 research histamine challenges, and 75 clinical methacholine challenges. For each test, the PC(20) was calculated twice, first using the lowest post-diluent FEV(1) to the lowest post-histamine/methacholine FEV(1), and then using the highest to the highest. RESULTS The intraclass correlation coefficients for methacholine research, histamine research, and methacholine clinic challenges were 0.99, 0.98, and 0.95, respectively. The PC(20) calculated using the lowest to lowest FEV(1) was slightly and significantly lower in all three groups (paired t test p < 0.0001). CONCLUSIONS The PC(20) values calculated using the highest FEV(1) are almost identical to the PC(20) values calculated using the lowest FEV(1). The difference, although clinically irrelevant, holds statistical significance.
Healthcare information exchange system based on a Hybrid central/federated model

The quality of care can be significantly enhanced and healthcare cost can be substantially reduced if healthcare providers can have access to patient records that are scattered among several paper and electronic based systems. Major challenges of Healthcare Information Exchange result from patient's medical records being kept in several healthcare provider offices, clinics and hospitals in different formats. There are two major problems with healthcare information retrieval. The first problem is lack of visibility and knowledge as to where patient's medical records reside. The second problem is lack of access to information and also incompatibility of data formats. A considerable coverage of Electronic Information Exchange among Electronic Health Record (EHR) systems remains to be implemented despite extensive standardization efforts toward providing solutions. The adoption pace of available standards and solutions has been slow with the exception of some public/government entities. This paper describes a comprehensive and practical solution based on a distributed system with independent subsystems that control and manage processes and data flow of information exchange. The Registrar Subsystem creates a directory of healthcare providers and patients. The Security Subsystem provides authentication and authorization services across all subsystems. The Locators address patient and medical location lookup. The Agents act on behalf of healthcare providers to communicate with other subsystems. The Mediators facilitate information retrieval. The Solution comprises of three levels of participation that allows healthcare providers to join the system easily by starting from basic semi-manual information exchange level and then migrating to a fully electronic and automated information exchange. The Solution is modeled based on variety of standards and protocols used in Internet and other application fields as well as healthcare specific standards and proposals.
Design optimization of a five-level active NPC inverter

This paper discusses the optimization designing method for a 5-level ANPC inverter. The point of the mathematical expression is to observe the losses of a converter based on the study of the device condition. Selection of the capacitor is also discussed accordingly based on the design method. The performance of the 5-level ANPC inverter is compared with a conventional 2-level inverter. The validity of the proposed calculation method for the power loss is confirmed with the experimental results. The 5-level ANPC inverter can achieve higher efficiency than the 2-level inverter.
CSE 240 A Stride and Sequential Prefetcher A 50044912

Since processor becomes faster and faster and memory system improves less, the access time of memory system becomes significantly important. To narrow the gap between processor and memory system, a more clever way of utilizing cache are needed. In this project, I’m trying to design a small device and algorithm to prefetch blocks from lower level memory to L1 D-cache efficiently and correctly. This is component is one of the most important factors to speed up memory system. Because the next line cache prefetch mechanism can not often match the pattern of program, we need some instruction predicted method to guess which block of memory are going to be needed in the future. In this project, I combined and modified two basic prefetch designs. The first one is stream buffer from [1] and the second one is the stride prefetcher from [2]. The reason of combining these two designs is that they can conquer different kind of patterns separately. In a high spatial locality environment, stream buffer performs very well. For stride prefetcher, it can predict iterative pattern excellently. Combining these two designs can make my prefetcher become more powerful.
Domain-Based Lexicon Enhancement for Sentiment Analysis

General knowledge sentiment lexicons have the advantage of wider term coverage. However, such lexicons typically have inferior performance for sentiment classification compared to using domain focused lexicons or machine learning classifiers. Such poor performance can be attributed to the fact that some domain-specific sentiment-bearing terms may not be available from a general knowledge lexicon. Similarly, there is difference in usage of the same term between domain and general knowledge lexicons in some cases. In this paper, we propose a technique that uses distant-supervision to learn a domain focused sentiment lexicon. The technique further combines general knowledge lexicon with the domain focused lexicon for sentiment analysis. Implementation and evaluation of the technique on Twitter text show that sentiment analysis benefits from the combination of the two knowledge sources. The technique also performs better than state-of-the-art machine learning classifiers trained with distantsupervision dataset.
THE SAVANNAH RIVER SITE : SITE DESCRIPTION , LAND USE AND MANAGEMENT HISTORY

The 78,000-ha Savannah River Site, which is located in the upper Coastal Plain of South Carolina along the Savannah River, was established as a nuclear production facility in 1951 by the Atomic Energy Commission. The site’s physical and vegetative characteristics, land use history, and the impacts of management and operations are described. Aboriginal and early European settlement was primarily along streams, where much of the farming and timber cutting have occurred. Woodland grazing occurred in the uplands and lowlands. Land use intensity increased after the Civil War and peaked in the 1920s. Impacts from production of cotton and corn, naval stores, fuelwood, and timber left only scattered patches of relatively untouched land and, coupled with grazing and less-frequent fire, severely reduced the extent of longleaf pine (Pinus palustrus) ecosystems. After 195 1, the USDA Forest Service, under the direction of the Atomic Energy Commission, initiated a large-scale reforestation effort and continued to manage the site’s forests. Over the last decade, forest management efforts have shifted to recovering the Red-cockaded Woodpecker (Picoides borealis) and restoring longleaf pine habitat. A research set-aside program was established in the 1950s and is now administered by the Savannah River Ecology Laboratory. Impacts from thermal effluents, fly-ash runoff, construction of radioactive waste facilities, and release of low-level radionuclides and certain metals have been assessed by the Savannah River Ecology Laboratory and other researchers.
A NETWORK LIFETIME ENHANCEMENT METHOD FOR SINK RELOCATION AND ITS ANALYSIS IN WIRELESS SENSOR NETWORKS

In Wireless Sensor Networks to conserve the limited power resources of sensors to extend the network lifetime of the WSN is important. For increasing the network lifetime, the EGPSR for mobile sinks in WSNs is used. This Work proposes a sink relocating scheme to guide the sink when and where to move to. The main objective of this concept is to increase the network life time and also reduce the energy consumption of this network. A WSN consists of small-sized sensor devices, which are equipped with limited battery power and are capable of wireless communications. This EGPSR energy based routing algorithm finds out the forwarder node and relay node which have the high energy. For finding the sink node to done the process of Energy based path selection is used and also it reduces the network lifetime. The general process of EGPSR is based on energy based closest node selection. This kind of node selection process is used to find the sink node in the MANET. Keywords-WSN, EGPSR, MANET
The Preparation of Al–Cu–Fe Quasicrystalline Coating by Low Power Plasma Spraying

Al-Cu-Fe with an atomic ratio of 70:20:10 was selected for preparing the quasicrystalline coating by low power plasma spraying. X-ray diffraction (XRD) and scanning electron microscope (SEM) were used for analyzing the phase component and microstructure of the quasicrystalline coating. It was found that the best quality of quasicrystalline coating was obtained under a current of 400A and a voltage of 40V. XRD results show that, using these parameters, a relatively higher content of quasicrystalline phase can be acquired in the coating. SEM results show that the sprayed coating has a low level of porosity.
Effect of ionic strength on the inactivation of micro‐organisms by microwave irradiation

Microwave irradiation at 2450 MHz inactivated the cells of Escherichia coli, Staphylococcus aureus and Candida albicans suspended in a phosphate buffer. The rate of cell inactivation was proportional to that of the increase in temperature accompanied by microwave irradiation. The inactivation rates of E. coli and C. albicans were affected by addition of NaCl and KCl, but not by sucrose. The maximal inactivation effect was exerted at concentrations of 0·5–1·0 mol l−1, and the end‐point temperature was the highest at the same salt concentrations. Correlation of both the electroconductivity and di‐electric loss of ionic solutions with the heating by microwave irradiation was discussed.
Design and Experimental Verification of a Short-Circuit Proof Six-Phase Permanent Magnet Machine for Safety Critical Applications

By making use of leakage flux components, a multiphase permanent magnet (PM) machine constructed with fractional-slot concentrated windings can confine winding short-circuit current to rated current to avoid further damage when the stator winding gets short-circuited. However, those high-winding-inductance machines suffer from high PM demagnetization risks. Design principles to avoid PM demagnetization are discussed in this paper to deal with this issue. In addition, mathematical analyses of short-circuit current and torque pulsations are developed, which reveal the physical nature and offer an effective way to investigate the machine performances. Short-circuit fault remediation methods utilizing two-phase symmetry of asymmetric six-phase machine is proposed. Furthermore, a 24 kW prototype machine was fabricated and experimental verification has been conducted.
Efficacy and Safety of a Mineral Oil-Based Head Lice Shampoo: A Randomized, Controlled, Investigator-Blinded, Comparative Study

Background Due to increased resistance and safety concerns with insecticide-based pediculicides, there is growing demand for head lice treatments with a physical mode of action. Certain mineral oils kill lice by blocking spiracles or by disrupting the epicuticular wax layer. The present study was performed to evaluate efficacy and safety of a mineral oil-based shampoo. Methods This randomized, controlled, investigator-blinded, monocentric study (EudraCT registration no. 2014-002918-23) was performed from October 2014—June 2015 in Germany. A mineral oil shampoo (Mosquito® Med Läuse Shampoo 10 in Germany, Paranix or Silcap shampoo elsewhere), registered as medical device, was compared to a conventional, locally reimbursed, pyrethroid-based pediculicide (Goldgeist® Forte solution). In total, 107 patients (>1 year) with confirmed head lice infestation were included (test arm: n = 53; control arm: n = 54). All subjects received two applications of either test or control product at day 0 and day 7, according to the instructions for use. Efficacy and safety was evaluated directly, 1h and 24h after first application, before and after second treatment, and at day 10. The main objective was demonstrating a cure rate for the test product, being superior to 70% at day 10. Results Cure rates at day 10 (corrected for re-infestation) for the test product (96.1%) and control (94%) significantly exceeded the pre-defined target (70%) (p < 0.001, 2-sided, 1-sample, chi-square test) with confirmed non-inferiority for the test product. Over all visits, cure rates were consistently higher for the test product, whereas more initially-cured subjects remained lice-free until end of study (78%; control: 60%). Both products were safe and well tolerated, offering good esthetical effects. Conclusion This study showed that substance-based medical devices (including the tested mineral oil shampoo) can be safe and effective alternatives for insecticide-based pediculicides, with less risk for development of resistance because of the physical mode of action. Trial Registration German Clinical Trials Register (DRKS) DRKS00009753 and EudraCT database 2014-002918-23
Analytical and empirical evaluation of software reuse metrics

How much can be saved by using existing software components when developing new software systems? With the increasing adoption of reuse methods and technologies, this question becomes critical. However, directly tracking the actual cost savings due to reuse is difficult. A worthy goal would be to develop a method of measuring the savings indirectly by analyzing the code for reuse of components. The focus of the paper is to evaluate how well several published software reuse metrics measure the "time, money and quality" benefits of software reuse. We conduct this evaluation both analytically and empirically. On the analytic front, we introduce some properties that should arguably hold of any measure of "time, money and quality" benefit due to reuse. We assess several existing software reuse metrics using these properties. Empirically, we constructed a toolset (using GEN+S) to gather data on all published reuse metrics from CS+ code; then, using some productivity and quality data from "nearly replicated" student projects at the University of Maryland, we evaluate the relationship between the known metrics and the process data. Our empirical study sheds some light on the applicability of our different analytic properties, and has raised some practical issues to be addressed as we undertake broader study of reuse metrics in industrial projects.
AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION

Automatic face recognition remains an interesting but challenging computer vision open problem. Poor illumination is considered as one of the major issue, since illumination changes cause large variation in the facial features. To resolve this, illumination normalization preprocessing techniques are employed in this paper to enhance the face recognition rate. The methods such as Histogram Equalization (HE), Gamma Intensity Correction (GIC), Normalization chain and Modified Homomorphic Filtering (MHF) are used for preprocessing. Owing to great success, the texture features are commonly used for face recognition. But these features are severely affected by lighting changes. Hence texture based models Local Binary Pattern (LBP), Local Derivative Pattern (LDP), Local Texture Pattern (LTP) and Local Tetra Patterns (LTrPs) are experimented under different lighting conditions. In this paper, illumination invariant face recognition technique is developed based on the fusion of illumination preprocessing with local texture descriptors. The performance has been evaluated using YALE B and CMU-PIE databases containing more than 1500 images. The results demonstrate that MHF based normalization gives significant improvement in recognition rate for the face images with large illumination conditions.
A Method for Finding Link Hijacking Based on Modified PageRank Algorithms

As the search result ranking is getting important for attracting visitors and profits, more and more people are now trying to mislead search engines in order to get higher ranking. Since link-based ranking algorithm is one of the most important tools for current search engines, web spammers are making an significant effort to manipulate links structure of web, namely, link spamming. Link hijacking is one technique of link spamming. By hijacking links from normal sites to target spam sites, spammers can make search engines believe that normal sites endorse spam sites. In this paper, we propose a link analysis technique for finding link-hijacked sites using modified PageRank algorithms. We performed experiments on our large scale Japanese web archive and evaluated the accuracy of our method. Keyword Link analysis, Web spam, Information retrieval
What Does a 3 dB Buy in MIMO Channels ?

In this paper, an outage limited MIMO channel is considered. We build on Zheng and Tse’s elegant formulation of the diversity-multiplexing tradeoff to develop a better understanding of the asymptotic relationship between probability of error, transmission rate and signal-to-noise ratio. We identify the limitation imposed by the notion of multiplexing gain and develop a new formulation for the throughput-reliability tradeoff that avoids this limitation. The new characterization is then used to shed more light on the asymptotic trends exhibited by the outage probability curves of MIMO channels. I. PROBLEM FORMULATION In an Additive White Gaussian Noise (AWGN) setting, it is well known that, a 3 dB increase in SNR translates into one extra bit in channel’s capacity in the high SNR regime. The scenario considered in this paper, however, is more involved. We address an outage limited channel, where the randomness of the instantaneous mutual information results in a nonzero lower bound on the probability of error, for nonzero constant transmission rates. Hence, a fundamental tradeoff between the throughput, as quantified by the transmission rate, and reliability, as quantified by the so-called outage probability, arises. Our work explores this tradeoff in the high SNR regime. In this paper, we consider a MIMO wireless communication system with m transmit and n receive antennas. We address a quasi-static flat-fading setup where the path gains remain constant over l consecutive symbol-intervals (i.e. a block), but change independently from one block to another. We further assume a coherent communication model implying the availability of channel state information (CSI) at the destination. Under these assumptions, the channel input-output relation is given by:
Response Behaviour of a Hydrogen Sensor Based on Ionic Conducting Polymer-metal Interfaces Prepared by the Chemical Reduction Method

A solid-state amperometric hydrogen sensor based on a protonated Nafion membrane and catalytic active electrode operating at room temperature was fabricated and tested. Ionic conducting polymer-metal electrode interfaces were prepared chemically by using the impregnation-reduction method. The polymer membrane was impregnated with tetra-ammine platinum chloride hydrate and the metal ions were subsequently reduced by using either sodium tetrahydroborate or potassium tetrahydroborate. The hydrogen sensing characteristics with air as reference gas is reported. The sensors were capable of detecting hydrogen concentrations from 10 ppm to 10% in nitrogen. The response time was in the range of 10-30 s and a stable linear current output was observed. The thin Pt films were characterized by XRD, Infrared Spectroscopy, Optical Microscopy, Atomic Force Microscopy, Scanning Electron Microscopy and EDAX.
C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women.

BACKGROUND Since inflammation is believed to have a role in the pathogenesis of cardiovascular events, measurement of markers of inflammation has been proposed as a method to improve the prediction of the risk of these events. METHODS We conducted a prospective, nested case-control study among 28,263 apparently healthy postmenopausal women over a mean follow-up period of three years to assess the risk of cardiovascular events associated with base-line levels of markers of inflammation. The markers included high-sensitivity C-reactive protein (hs-CRP), serum amyloid A, interleukin-6, and soluble intercellular adhesion molecule type 1 (sICAM-1). We also studied homocysteine and a variety of lipid and lipoprotein measurements. Cardiovascular events were defined as death from coronary heart disease, nonfatal myocardial infarction or stroke, or the need for coronary-revascularization procedures. RESULTS Of the 12 markers measured, hs-CRP was the strongest univariate predictor of the risk of cardiovascular events; the relative risk of events for women in the highest as compared with the lowest quartile for this marker was 4.4 (95 percent confidence interval, 2.2 to 8.9). Other markers significantly associated with the risk of cardiovascular events were serum amyloid A (relative risk for the highest as compared with the lowest quartile, 3.0), sICAM-1 (2.6), interleukin-6 (2.2), homocysteine (2.0), total cholesterol (2.4), LDL cholesterol (2.4), apolipoprotein B-100 (3.4), HDL cholesterol (0.3), and the ratio of total cholesterol to HDL cholesterol (3.4). Prediction models that incorporated markers of inflammation in addition to lipids were significantly better at predicting risk than models based on lipid levels alone (P<0.001). The levels of hs-CRP and serum amyloid A were significant predictors of risk even in the subgroup of women with LDL cholesterol levels below 130 mg per deciliter (3.4 mmol per liter), the target for primary prevention established by the National Cholesterol Education Program. In multivariate analyses, the only plasma markers that independently predicted risk were hs-CRP (relative risk for the highest as compared with the lowest quartile, 1.5; 95 percent confidence interval, 1.1 to 2.1) and the ratio of total cholesterol to HDL cholesterol (relative risk, 1.4; 95 percent confidence interval, 1.1 to 1.9). CONCLUSIONS The addition of the measurement of C-reactive protein to screening based on lipid levels may provide an improved method of identifying persons at risk for cardiovascular events.