Miracle-dz/UniFAR-FTUs huggingface dataset:
Detect and deactivate P2P Zeus bot

At Present, the most genuine exhibit of cutting edge malware is botnet. Botnet is across the board malware and it emerges usually in today's digital wrongdoing, which brings about genuine dangers to our system. It is cluster of compromised computer (bot), which is remotely controlled by Master commonly known as BotHerder; under a typical command and control (C&C) framework. C&C is utilized to disperse commands to bot for performing vindictive activity, for example; information capturing, form grabbing, sending spam mails and performing DDOS attack and so on. Subsequently it is required to distinguish the botnet keeping in mind the end goal to give secure system benefit. The projected work is aimed towards detecting and deactivating P2P Zeus bot by applying bound steps. Starting is identifying Bot by observation of network traffic behavior. Second step is employed to detect Bot by identifying most access port data in conjunction with its count. Last step is deactivating Bot activity from victim machine by using Port block and removing registry key entry through programming.
Clinical Interventions in Aging Dovepress Influence of Aging on Medial Olivocochlear System Function

Background: There is still controversy regarding the influence of aging on medial olivocochlear (MOC) system function. The main objective of this study is to measure age-related changes of MOC system function in people with normal hearing thresholds. Method: Bilateral assessment of the MOC effect for click-evoked otoacoustic emissions (CEOAEs; at 70±3 dB peak sound pressure level [pSPL], click at 50/second, 260 repeats, 2.5–20 millisecond window) and for distortion product otoacoustic emissions (DPOAEs; with [frequencies] f 2 /f 1 =1.22, [levels of primary tones] L 1 =65 dB SPL and L 2 =55 dB SPL; DP-grams for 2f 1 −f 2 were collected for the f 1 frequencies varying from 977 Hz to 5,164 kHz, with the resolution of four points per octave) was performed in a group of 146 (n=292 ears) healthy, right-handed subjects aged from 10–60 years with a bilateral hearing threshold from 0.25–4.0 kHz, not exceeding 20 dB hearing level; normal tympanograms; and a threshold of the contralateral stapedial reflex for broadband noise (BBN) of 75 dB SPL or higher. The MOC inhibition was assessed on the basis of changes in OAE level during BBN contralateral stimulation at 50 dB sensation level (mean, 65±3 dB SPL). Results: Comparative analysis of the MOC effect for CEOAE and DPOAE showed the weakest effect in the oldest age group (41–60 years) at almost all tested frequencies. Moreover, a weak, albeit significant, positive correlation between the level of OAE and the size of the MOC effect was documented. Conclusion: On the basis of our study, we have found a decrease in the strength of the MOC system with increasing age in normally hearing subjects, as reflected by a decrease of the OAE suppression effects in older individuals and an increase of the number of CEOAE and DPOAE enhancements during contralateral acoustic stimulation in the elderly, especially in the high-frequency range.
MAPK/ERK Signaling Regulates Insulin Sensitivity to Control Glucose Metabolism in Drosophila

The insulin/IGF-activated AKT signaling pathway plays a crucial role in regulating tissue growth and metabolism in multicellular animals. Although core components of the pathway are well defined, less is known about mechanisms that adjust the sensitivity of the pathway to extracellular stimuli. In humans, disturbance in insulin sensitivity leads to impaired clearance of glucose from the blood stream, which is a hallmark of diabetes. Here we present the results of a genetic screen in Drosophila designed to identify regulators of insulin sensitivity in vivo. Components of the MAPK/ERK pathway were identified as modifiers of cellular insulin responsiveness. Insulin resistance was due to downregulation of insulin-like receptor gene expression following persistent MAPK/ERK inhibition. The MAPK/ERK pathway acts via the ETS-1 transcription factor Pointed. This mechanism permits physiological adjustment of insulin sensitivity and subsequent maintenance of circulating glucose at appropriate levels.
Influence of ultrasound on clinical decision making in acute appendicitis: a prospective study.

OBJECTIVE To assess the efficacy of ultrasound (US) as part of an algorithm to establish the indication for laparotomy in patients with suspected acute appendicitis. DESIGN Prospective investigation. SETTING University department of surgery, Germany. SUBJECTS 669 unselected patients admitted with suspected acute appendicitis. INTERVENTIONS Clinicopathological and procedural diagnoses of the algorithm were evaluated by correlating clinical and US findings with the results of laparotomy in 171 patients of whom 143 had acute appendicitis (prevalence 21%), and clinical as well as follow up data in the remainder. MAIN OUTCOME MEASURES The major clinicopathological variables were accuracy and positive predictive value; the rate of negative laparotomies and that of bad diagnostic errors served as the main procedural variables. RESULTS The overall sensitivity, specificity, and accuracy of the clinical diagnosis were 0.503, 0.950, and 0.855, respectively (positive predictive value: PPV 0.734, negative predictive value: NPV 0.875), those of ultrasound: 0.797, 0.967, and 0.931 (PPV 0.870, NPV 0.946); and 0.853, 0.927, and 0.940 at the end of the algorithm (PPV 0.762, NPV 0.958). However, the algorithm would have resulted in a significant increase in the rate of unnecessary laparotomies (from 13% to 16%). A revised clinical algorithm gave an overall diagnostic accuracy of 0.940 (p < 0.001) together with a low rate of negative laparotomies (11%, p < 0.01) and a significantly reduced number of diagnostic errors (from 71 to 21, p < 0.001). CONCLUSION Ultrasonography enabled us to diagnose acute appendicitis in more patients more often and more quickly than clinical evaluation alone, suggesting that US may produce a better outcome. The revised clinical algorithm may be helpful in the study of US in patients with suspected acute appendicitis in prospective randomised controlled clinical trials.
Class and Income Inequality in Korea

This paper seeks to contribute to recent efforts to improve status attainment models by introducing class categories or labor market segmentation. The research reported here replicates and extends Wright and Perrone's (1977) analysis of class categories and income inequality in the United States in the context of a rapidly industrializing society. The results confirm that Marxist class categories are as consequential as occupational status in explaining income inequality in both advanced and developing capitalist societies. Yet, there are several difficulties in applying this class model to developing economies, so that a substantially modified class model is developed taking the manual-nonmanual distinction and structural marginality as additional major axes of class determination. This new model is superior to Wright's (1976) model in explaining income inequality in Korea. In the final part of the paper, a tentative test of a dependency model of inequality is attempted, with negative results for the predicted hypothesis of the center-periphery sectoral inequality.
Gateway Vectors for Efficient Artificial Gene Assembly In Vitro and Expression in Yeast Saccharomyces cerevisiae

Construction of synthetic genetic networks requires the assembly of DNA fragments encoding functional biological parts in a defined order. Yet this may become a time-consuming procedure. To address this technical bottleneck, we have created a series of Gateway shuttle vectors and an integration vector, which facilitate the assembly of artificial genes and their expression in the budding yeast Saccharomyces cerevisiae. Our method enables the rapid construction of an artificial gene from a promoter and an open reading frame (ORF) cassette by one-step recombination reaction in vitro. Furthermore, the plasmid thus created can readily be introduced into yeast cells to test the assembled gene’s functionality. As flexible regulatory components of a synthetic genetic network, we also created new versions of the tetracycline-regulated transactivators tTA and rtTA by fusing them to the auxin-inducible degron (AID). Using our gene assembly approach, we made yeast expression vectors of these engineered transactivators, AIDtTA and AIDrtTA and then tested their functions in yeast. We showed that these factors can be regulated by doxycycline and degraded rapidly after addition of auxin to the medium. Taken together, the method for combinatorial gene assembly described here is versatile and would be a valuable tool for yeast synthetic biology.
Poloxamer 188 facilitates the repair of alveolus resident cells in ventilator-injured lungs.

RATIONALE Wounded alveolus resident cells are identified in human and experimental acute respiratory distress syndrome models. Poloxamer 188 (P188) is an amphiphilic macromolecule shown to have plasma membrane-sealing properties in various cell types. OBJECTIVES To investigate whether P188 (1) protects alveolus resident cells from necrosis and (2) is associated with reduced ventilator-induced lung injury in live rats, isolated perfused rat lungs, and scratch and stretch-wounded alveolar epithelial cells. METHODS Seventy-four live rats and 18 isolated perfused rat lungs were ventilated with injurious or protective strategies while infused with P188 or control solution. Alveolar epithelial cell monolayers were subjected to scratch or stretch wounding in the presence or absence of P188. MEASUREMENTS AND MAIN RESULTS P188 was associated with fewer mortally wounded alveolar cells in live rats and isolated perfused lungs. In vitro, P188 reduced the number of injured and necrotic cells, suggesting that P188 promotes cell repair and renders plasma membranes more resilient to deforming stress. The enhanced cell survival was accompanied by improvement in conventional measures of lung injury (peak airway pressure, wet-to-dry weight ratio) only in the ex vivo-perfused lung preparation and not in the live animal model. CONCLUSIONS P188 facilitates plasma membrane repair in alveolus resident cells, but has no salutary effects on lung mechanics or vascular barrier properties in live animals. This discordance may have pathophysiological significance for the interdependence of different injury mechanisms and therapeutic implications regarding the benefits of prolonging the life of stress-activated cells.
Intravenous Amiodarone for Incessant Tachyarrhythmias in Children: A Randomized, Double-Blind, Antiarrhythmic Drug Trial

Background— Intravenous (IV) amiodarone has proven efficacy in adults. However, its use in children is based on limited retrospective data. Methods and Results— A double-blind, randomized, multicenter, dose-response study of the safety and efficacy of IV amiodarone was conducted in 61 children (30 days to 14.9 years; median, 1.6 years). Children with incessant tachyarrhythmias (supraventricular arrhythmias [n=26], junctional ectopic tachycardia [JET, n=31], or ventricular arrhythmias [n=4]) were randomized to 1 of 3 dosing regimens (low, medium, or high: load plus 47-hour maintenance) with up to 5 open-label rescue doses. The primary efficacy end point was time to success. Of 229 patients screened, 61 were enrolled during 13 months by 27 of 48 centers in 7 countries. Median time to success was significantly related to dose (28.2, 2.6, and 2.1 hours for the low-, medium-, and high-dose groups, respectively; P=0.028). There was no significant association with dose for any arrhythmia subgroup, including JET, but the subgroups were too small for an accurate assessment. Adverse events (AEs) were common (87%), leading to withdrawal of 10 patients. There were 5 deaths in the 30-day follow-up period (2 possibly related to the study drug). Dose-related AEs included hypotension (36%), vomiting (20%), bradycardia (20%), atrioventricular block (15%) and nausea (10%). Conclusions— In children, the overall efficacy of IV amiodarone, as measured by time to success, was dose related but not significantly for any arrhythmia subgroup. AEs were common and appeared to be dose related. Although efficacious for critically ill patients, the dose-related risks of IV amiodarone should be taken into account when treating children with incessant arrhythmias. Prospective, placebo-controlled trials would be helpful in assessing antiarrhythmic drug efficacy in children, because their results may differ from retrospective series and adult studies.
Current-Mode Triline Transceiver for Coded Differential Signaling Across On-Chip Global Interconnects

This paper presents a current-mode triline ternary-level coded differential signaling scheme for high-speed data transmission across on-chip global interconnects. An energy efficient current-mode triline transceiver pair suitable for this signaling scheme has been proposed. Compared with a voltage mode receiver with resistive termination, the proposed active terminated current-mode receiver reduces the signal current by 7.8 times and the signaling power by 2.6 times. Two data transmission schemes are proposed for using this transceiver pair. In the first scheme, two data streams are directly transmitted over the three lines link, thereby having a wire efficiency of 67%. In the second scheme, five data streams at half rate are encoded and serialized to send over the three lines, thereby having a wire efficiency of 83%. A prototype design has been implemented in a UMC 0.18- $\mu \text{m}$ technology for an interconnect of length 5 mm. The measured energy efficiency of the triline transceiver in a direct transmission scheme for the data rate of 7.4 Gb/s is 0.61 pJ/bit. With the encoding scheme, the energy efficiency is 1.24 pJ/bit for a total data transmission of 9.25 Gb/s.
Multi-feature Fusion for Predicting Social Media Popularity

This paper presents the method that underlies our submission to the popularity prediction task of Social Media Prediction Challenge 2017. The task is designed to predict the impact of sharing different posts for a publisher on social media. There are many factors that influence image popularity; these include not only the visual features of the image, but also the social features, such as user characteristics of its poster and even the upload time. In this project, we propose a fast and effective framework for popularity prediction. First, we investigate and extract visual and social features of images. For the visual feature, we introduce 1) global feature descriptors, such as Local Binary Pattern and Color Names, 2) local feature descriptors, such as Local Maximal Occurrence, and 3) deep features. For the social feature, we adopt users features (average views, group count, and member count), post features (title length, description length, and tag count), and time features (month, weekday, day, and hour). Furthermore, we fed a fusion of multi-feature to Linear Regression, Matrix Factorization based on Time and feature Cluster, and Support Vector Regression models respectively, and present comparative analysis of the prediction results. Finally, we choose the best model to predict the popularity scores of the test images. Experimental results demonstrate that our method can achieve 0.8581, 1.4062 and 0.8625 in terms of Spearman Ranking Correlation, Mean Absolute Error, and Mean Squared Error, respectively.
Predictive parallelization: taming tail latencies in web search

Web search engines are optimized to reduce the high-percentile response time to consistently provide fast responses to almost all user queries. This is a challenging task because the query workload exhibits large variability, consisting of many short-running queries and a few long-running queries that significantly impact the high-percentile response time. With modern multicore servers, parallelizing the processing of an individual query is a promising solution to reduce query execution time, but it gives limited benefits compared to sequential execution since most queries see little or no speedup when parallelized. The root of this problem is that short-running queries, which dominate the workload, do not benefit from parallelization. They incur a large parallelization overhead, taking scarce resources from long-running queries. On the other hand, parallelization substantially reduces the execution time of long-running queries with low overhead and high parallelization efficiency. Motivated by these observations, we propose a predictive parallelization framework with two parts: (1) predicting long-running queries, and (2) selectively parallelizing them. For the first part, prediction should be accurate and efficient. For accuracy, we study a comprehensive feature set covering both term features (reflecting dynamic pruning efficiency) and query features (reflecting query complexity). For efficiency, to keep overhead low, we avoid expensive features that have excessive requirements such as large memory footprints. For the second part, we use the predicted query execution time to parallelize long-running queries and process short-running queries sequentially. We implement and evaluate the predictive parallelization framework in Microsoft Bing search. Our measurements show that under moderate to heavy load, the predictive strategy reduces the 99th-percentile response time by 50% (from 200 ms to 100 ms) compared with prior approaches that parallelize all queries.
Viral Induction of Central Nervous System Innate Immune Responses

ABSTRACT The ability of the central nervous system (CNS) to generate innate immune responses was investigated in an in vitro model of CNS infection. Cultures containing CNS cells were infected with mouse hepatitis virus-JHM, which causes fatal encephalitis in mice. Immunostaining indicated that viral infection had a limited effect on culture characteristics, overall cell survival, or cell morphology at the early postinfection times studied. Results from Affymetrix gene array analysis, assessed on RNA isolated from virally and sham-infected cultures, were compared with parallel protein assays for cytokine, chemokine, and cell surface markers. Of the 126 transcripts found to be differentially expressed between viral and sham infections, the majority were related to immunological responses. Virally induced increases in interleukin-6 and tumor necrosis factor alpha mRNA and protein expression correlated with the genomic induction of acute-phase proteins. Genomic and protein analysis indicated that viral infection resulted in prominent expression of neutrophil and macrophage chemotactic proteins. In addition, mRNA expression of nonclassical class I molecules H2-T10, -T17, -M2, and -Q10, were enhanced three- to fivefold in virus-infected cells compared to sham-infected cells. Thus, upon infection, resident brain cells induced a breadth of innate immune responses that could be vital in directing the outcome of the infection and, in vivo, would provide signals which would summon the peripheral immune system to respond to the infection. Further understanding of how these innate responses participate in immune protection or immunopathology in the CNS will be critical in efforts to intervene in severe encephalitis.
За Св.„Кирил и Методиј“

Реферат по повод одбележувањето на денот на Сесловенските просветители Светите „Кирил и Методиј“ Свечена Академија 23.5. 2012 година. Сала на општина Штип, 19.00 часот
An appreciative exploration of how schools create a sense of belonging to facilitate the successful transition to a new school for pupils involved in a managed move

ABSTRACT Much of the current guidance on managed moves focuses on the benefits of the ‘fresh start’ provided. This paper describes an appreciative inquiry to explore how schools in one local authority create a sense of belonging to facilitate a fresh start for pupils involved in a managed move to a new school. Six deputy head teachers with pastoral responsibility took part in a focus group using an appreciative inquiry (Ai) 4-D cycle. The discovery, dream and design phases sought to build on the current practice and identify the improvements to practice. Thematic analysis of the data identified many aspects of belonging, which are in line with those identified in the literature such as creating a school identity, developing partnerships and specific activities such as inter-form competitions and family assemblies. Generating school identity and home-school-pupil partnerships were also identified in relation to managed moves. In the destiny stage, themes were fed back and discussed with a wider Deputy Head Group and Good Practice Guidance to facilitate the successful transition to a new school for pupils involved in a managed move that was produced and circulated across the LA. The importance of empathising with the potential challenges of changing school and forming and maintaining new relationships for pupils engaging in a managed move is highlighted and the Good Practice Guidance illustrates how transition, induction and ongoing support plans can take this into account.
An in vitro method to manipulate the direction and functional strength between neural populations

We report the design and application of a Micro Electro Mechanical Systems (MEMs) device that permits investigators to create arbitrary network topologies. With this device investigators can manipulate the degree of functional connectivity among distinct neural populations by systematically altering their geometric connectivity in vitro. Each polydimethylsilxane (PDMS) device was cast from molds and consisted of two wells each containing a small neural population of dissociated rat cortical neurons. Wells were separated by a series of parallel micrometer scale tunnels that permitted passage of axonal processes but not somata; with the device placed over an 8 × 8 microelectrode array, action potentials from somata in wells and axons in microtunnels can be recorded and stimulated. In our earlier report we showed that a one week delay in plating of neurons from one well to the other led to a filling and blocking of the microtunnels by axons from the older well resulting in strong directionality (older to younger) of both axon action potentials in tunnels and longer duration and more slowly propagating bursts of action potentials between wells. Here we show that changing the number of tunnels, and hence the number of axons, connecting the two wells leads to changes in connectivity and propagation of bursting activity. More specifically, the greater the number of tunnels the stronger the connectivity, the greater the probability of bursting propagating between wells, and shorter peak-to-peak delays between bursts and time to first spike measured in the opposing well. We estimate that a minimum of 100 axons are needed to reliably initiate a burst in the opposing well. This device provides a tool for researchers interested in understanding network dynamics who will profit from having the ability to design both the degree and directionality connectivity among multiple small neural populations.
Reconfiguration-based implementation of SVM classifier on FPGA for Classifying Microarray data

Classifying Microarray data, which are of high dimensional nature, requires high computational power. Support Vector Machines-based classifier (SVM) is among the most common and successful classifiers used in the analysis of Microarray data but also requires high computational power due to its complex mathematical architecture. Implementing SVM on hardware exploits the parallelism available within the algorithm kernels to accelerate the classification of Microarray data. In this work, a flexible, dynamically and partially reconfigurable implementation of the SVM classifier on Field Programmable Gate Array (FPGA) is presented. The SVM architecture achieved up to 85× speed-up over equivalent general purpose processor (GPP) showing the capability of FPGAs in enhancing the performance of SVM-based analysis of Microarray data as well as future bioinformatics applications.