Miracle-dz/UniFAR-FTUs huggingface dataset:
Potentially Functional Single Nucleotide Polymorphisms in the Core Nucleotide Excision Repair Genes and Risk of Squamous Cell Carcinoma of the Head and Neck

Susceptibility to cancer has been associated with DNA repair capacity, a global reflection of all functional variants, most of which are relatively rare. Among the 1,098 single nucleotide polymorphisms (SNP) identified in the eight core nucleotide excision repair genes, only a few are common nonsynonymous or regulatory SNPs that are potentially functional. We tested the hypothesis that seven selected common nonsynonymous and regulatory variants in the nucleotide excision repair core genes are associated with risk of squamous cell carcinoma of the head and neck (SCCHN) in a hospital-based, case-control study of 829 SCCHN cases and 854 cancer-free controls. Assuming a recessive genetic model, we found that only carriers of the XPC 499Val/Val genotype had a significantly increased SCCHN risk (adjusted odds ratio, 1.65; 95% confidence interval, 1.16-2.36). In analysis of the joint effects, the number of observed risk genotypes was associated with SCCHN risk in a dose-response manner (P for trend = 0.017) and those who carried four or more risk genotypes exhibited a borderline significant 1.23-fold increased SCCHN risk (adjusted odds ratio, 1.23; 95% confidence interval, 0.99-1.53). In the stratified analysis, the dichotomized combined effect of the seven SNPs was slightly more evident among older subjects, women, and laryngeal cancer. These findings suggest that these potentially functional SNPs may collectively contribute to susceptibility to SCCHN. These findings need to be validated in larger, independent studies. (Cancer Epidemiol Biomarkers Prev 2007;16(8):1633–8)
An Effective Resource Partitioning Heuristic for Embedded Applications on an MPSoC

As the utilization of multiprocessors system-on-chip (MPSoC) is becoming ubiquitous, demands for effective allocation and scheduling techniques are needed more than ever to harness the power of MPSoCs. An MPSoC is a system consisting of multiple heterogeneous processing cores, memory hierarchies, and communication infrastructure to effectively overcome the power and clock constraints from single core architectures. MPSoCs provide the performance demanded by embedded applications especially real-time multimedia applications. This article presents effective techniques to partitioning the processing cores and memory budget in an MPSoC among multiple embedded applications possibly entering the system at different times. The proposed framework will study the structure of each application and predict the possible reduction in schedule time if more processors and/or memory budget are assigned to this application. The objective is to fairly divide the resources such that the schedule times for the applications are minimized. Results on different embedded applications workloads and under different system resources show the effectiveness of our techniques that were able to reduce the cycle count by 10.2 % on average compared to an effective technique in the literature.
PICONE'S IDENTITY AND THE MOVING PLANE PROCEDURE

Positive solutions of a class of nonlinear elliptic partial dierential equa- tions are shown to be symmetric by means of the moving plane argument coupled with Spectral Theory results and Picone's Identity. The method adapts easily to situations where the moving plane procedure gives rise to variational problems with positive eigenfunctions.
Structural determinants of the cellular localization and shuttling of TDP-43

TDP-43 (also known as TARDBP) regulates different processes of gene expression, including transcription and splicing, through RNA and DNA binding. Moreover, recent reports have shown that the protein interacts with the 3′UTRs of specific mRNAs. The aberrant cellular distribution and aggregation of TDP-43 were recently reported in neurodegenerative diseases, namely frontotemporal lobar degeneration (FTLD) and amyotrophic lateral sclerosis (ALS). A detailed description of the determinants for cellular localization has yet to emerge, including information on how the known functions of TDP-43 and cellular targeting affect each other. We provide the first experimental evidence that TDP-43 continuously shuttles between nucleus and cytoplasm in a transcription-dependent manner. Furthermore, we investigate the role of the functional TDP-43 domains in determining cellular targeting through a combination of immunofluorescence and biochemical fractionation methods. Our analyses indicate that the C-terminus is essential for solubility and cellular localization, because its deletion results in the formation of large nuclear and cytoplasmic aggregates. Disruption of the RNA-recognition domain required for RNA and DNA binding, however, alters nuclear distribution by decreasing TDP-43 presence in the nucleoplasm. Our findings suggest that TDP-43 solubility and localization are particularly sensitive to disruptions that extend beyond the newly found nuclear localization signal and depend on a combination of factors that are closely connected to the functional properties of this protein.
Traffic-Aware Backscatter Communications in Wireless-Powered Heterogeneous Networks

With the emerging Internet-of-Things services, massive machine-to-machine (M2M) communication will be deployed on top of human-to-human (H2H) communication in the near future. Due to the coexistence of M2M and H2H communications, the performance of M2M (i.e., secondary) networks depends largely on the H2H (i.e., primary) network. In this paper, we propose ambient backscatter communication for the M2M networks which exploits the energy (signal) sources of the H2H network, referring to its traffic applications and popularity. In order to maximize the harvesting and transmission opportunities offered by varying traffic sources of the H2H network, we adopt a Bayesian nonparametric (BNP) learning algorithm to classify traffic applications (patterns) for secondary transmitters (STs). We then analyze the performance of STs using the stochastic geometric approach, based on a criterion for optimal traffic selection. Because of the mathematical intractability of the optimal criterion, we have attained a suboptimal traffic selection criterion which provides more tractable analysis. Results are presented to validate the performance of the proposed BNP classification algorithm and the criterion, as well as the impact of traffic sources and popularity.
An Analysis of Ideational Metaphor in Political Text: A Study of Systemic Functional Linguistics

AbstractThe research entitled “An Analysis ofIdeational Metaphor in Political Text: A Study of Systemic Functional Linguistics” is aimed to find out the ways the ideational metaphor is organized in Political text. The scope in which the studyis conducted ranges from the variety of processes used in political text. The analysis is conducted in accordance with the grand theories put forwarded by Halliday, Mathiesen, and Thompson, with some supportive theoretical background from Downing and Locke, and Eggins and some theories of metaphorin general. The result of this research shows that the types of processes found in this research almost covers all the types of processes, namely: Material, Mental, verbal, and Relational Processes. Behavioural and existential were not found under the assumption that those types have little relevant to the process of metaphorical wording.
The ER mitochondria calcium cycle and ER stress response as therapeutic targets in amyotrophic lateral sclerosis

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by progressive loss of upper and lower motor neurons. Although the etiology remains unclear, disturbances in calcium homoeostasis and protein folding are essential features of neurodegeneration in this disorder. Here, we review recent research findings on the interaction between endoplasmic reticulum (ER) and mitochondria, and its effect on calcium signaling and oxidative stress. We further provide insights into studies, providing evidence that structures of the ER mitochondria calcium cycle serve as a promising targets for therapeutic approaches for treatment of ALS.
The design and implementation of the A2QM3 System

In this paper we present the design, architecture and implementation of the A2QM3 System. It provides programmers with re-usable QoS-aware control objects to enable building a complete middleware for adaptive applications over active networks. We introduce the programming model and system architecture, and show the parts that make this system full-featured middleware supporting QoS-aware reliable stream-oriented communication, communication using the request/reply-based CORBA model and real-time streaming for continuous multimedia contents.
Committees of Decision

Many intelligent systems are designed to sift through a mass of evidence and arrive at a decision. Certain pieces of evidence may be given more weight than others, and this may aaect the nal decision signiicantly. When than one intelligent agent is available to make a decision, we can form a committee of experts. By combining the diier-ent opinions of these experts, the committee approach can sometimes outperform any individual expert. In this paper, we show how to exploit randomized learning algorithms in order to develop committees of experts. By using the majority vote of these experts to make decisions, we are able to improve the performance of the original learning algorithm. More precisely, we have developed a randomized decision tree induction algorithm, which generates diierent decision trees every time it is run. Each tree represents a diierent expert decision-maker. We combine these trees using a majority voting scheme in order to overcome small errors that appear in individual trees. We have tested our idea with several real data sets, and found that accuracy consistently improved when compared to the decision made by a single expert. We have developed some analytical results that explain why this eeect occurs. Our experiments also show that the majority voting technique outperforms at least some alternative strategies for exploiting randomization.
Downlink multi-user transmission for higher user speeds in IEEE 802.16m

A dynamic resource allocation algorithm with beam steering is evaluated for providing broadband wireless access to mobile users of the emerging IEEE 802.16 m air interface standard. Thanks to our design, the coverage area and total throughput may be significantly enhanced, compared to the current IEEE 802.16 e standard. Our proposed solution supports high mobility, improves fairness among the users and is backward compatible to the mobile networks based on the 802.16 e. The simulation analysis determines the parameters which impact the system performance. Furthermore, our system presents low complexity hardware implementation and low power consumption.
Toward formal reasoning with epistemic policies about information quality in the twittersphere

Some recent systems accurately produce high-level situational awareness by mining traffic in Twitter. Where these systems have been successful, there has been no attempt to evaluate Twitter streams for source reliability and information credibility because the situations have not been adversarial. The use of Twitter in recent political dissent in the Mideast makes the need for computationally tractable approaches to evaluating Twitter source reliability and information credibility more acute in order to produce accurate situation awareness in the face of misinformation or deliberate disinformation.
What to Do (and Not to Do) with the Comparative Manifestos Project Data

The Comparative Manifestos Project (CMP) data are the most popular source for parties' positions on the left–right and other ideological and policy dimensions. Over the past few years, several researchers have identified various methodological problems in the CMP data, but third-party users rarely acknowledge them. This article classifies the problems associated with the CMP into four areas: (1) theoretical underpinnings of the coding scheme; (2) document selection; (3) coding reliability; and (4) scaling. The article reviews each area systematically and concludes with a set of recommendations regarding the use of the CMP data.
IJESRT INTERNATIONAL JOURNA An Key Frame Extraction using Euler Distance

Key frame extraction has been recognized as one of the important research issues in video information . Although progress has been made in key frame Extraction the existing approaches are either computationally expensive or ineffective in capturing salient visual content. Key frame extraction aims to reduce the amount of video data, and the frame sequence must preserve the overall contents of the original video. We propose a new method for extracting key frames from a MPEG. Our proposed approach consists of two steps. In the first step, we propose a method of frame segmentation and second step is into number of frames, Euler distance difference method is used to extract key frames. Experimental results show that the extracted key frames can summarize the salient content of the video an high efficiency, and high robustness.
Bank Partitioning Based Adaptive Page Policy in Multi-core Memory Systems

With DRAM memory systems power consumption growing and performance declining, memory system optimization is imperative. At present most studies focus on reducing power consumption or improving performance of DRAM chips, but rarely do both. In this paper, we propose the bank partitioning based adaptive page policy to optimize both performance and power efficiency of DRAM chips, while at the same time reduce the inter-thread interference. First, we use bank partitioning to isolate memory streams of different threads. Second, we put forward an adaptive page policy to dynamically allocate the optimal page policy for each bank. Experimental results show that our scheme improves the system performance by 20.4% on average (up to 55%) and reduces DRAM power by 8% on average (up to 29%) for all workloads.
On the shape of the spectrum of cosmic rays accelerated inside superbubbles

Supernova remnants are believed to be a major source of cosmic-rays in the Galaxy. As their progenitors are commonly found clustered in OB associations, one has to consider the possibility of collective effects in the acceleration process. In this work we investigate the shape of the spectrum of protons accelerated inside the superbubbles blown around clusters of massive stars. To do so we embed semi-analytical models of particle acceleration and transport inside Monte-Carlo simulations of OB associations timelines. We consider regular acceleration at the shock front of supernova remnants, as well as stochastic re-acceleration and escape occurring between the shocks. We observe that particle spectra, although strongly intermittent, get a distinctive shape resulting from a competition between acceleration and escape: they are harder at the lowest energies and softer at the highest energies. The momentum at which this spectral break occurs depends on a single dimensionless parameter, which we evaluate for a selection of objects. The behaviour of a superbubble regarding acceleration depends on the magnetic turbulence: if B is low the superbubble is simply the host of a collection of individual supernovae shocks, but if B is high enough it acts as a global accelerator, producing distinctive spectra – which has important implications on the high-energy emission from these objects.
Endogenous State Prices, Liquidity, Default, and the Yield Curve

We show, in an exchange economy with default, liquidity constraints and no aggregate uncertainty, that state prices in a complete markets general equilibrium are a function of the supply of liquidity by the Central Bank. Our model is derived along the lines of Dubey and Geanakoplos (1992). Two agents trade goods and nominal assets (Arrow-Debreu (AD) securities) to smooth consumption across periods and future states, in the presence of cashin- advance financing costs. We show that, with Von Neumann-Morgenstern logarithmic utility functions, the price of AD securities, are inversely related to liquidity. The upshot of our argument is that agents’ expectations computed using risk-neutral probabilities give more weight in the states with higher interest rates. This result cannot be found in a Lucas-type representative agent general equilibrium model where there is neither trade or money nor default. Hence, an upward yield curve can be supported in equilibrium, even though short-term interest rates are fairly stable. The risk-premium in the term structure is therefore a pure default risk premium.
Marginal utility of social capital: the assistance of family and friends in choosing university studies

Abstract We focus on transition from school or employment to university and analyze how social network characteristics and the quantity of social capital (SC) influence the assessment of help in selecting a program of study. We analyze data of undergraduate students at a German university and find that SC has an amount and a context effect. First, we assume that in networks where students find a lot of SC, they also receive helpful advice. Second, a social network close to academia offers useful help. Our multivariate analyses support the context effect, but also indicate a marginal utility of SC. Students with academically educated parents rate their parents’ help as more useful, and students with studying friends rate their friends’ advice as helpful. However, students who are rich in SC among family and friends rate their help lower than students who are rich in SC among only one part of their network.
DINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness

This demonstration presents an infrastructure for computing multilingual semantic relatedness and correlation for twelve natural languages by using three distributional semantic models (DSMs). Our demonsrator - DInfra (Distributional Infrastructure) provides researchers and developers with a highly useful platform for processing large-scale corpora and conducting experiments with distributional semantics. We integrate several multilingual DSMs in our webservice so end user can obtain a result without worrying about the complexities involved in building DSMs. Our webservice allows the users to have easy access to a wide range of comparisons of DSMs with different parameters. In addition, users can configure and access DSM parameters using a easy to use API.
Generating Unforgeable Evidence for Secure Communications

The Internet is increasingly being used for serious transactions involving money and goods. However, there hardly exists any means for users of Internet transactions to obtain third-party verifiable evidence of the transactions in which they participate. As a solution to this problem, we propose the use of a semi-trusted third party, called a digital witness, that can provide unforgeable transaction evidence without ever seeing the transaction contents. The witness is attached to secure communication sessions in an unintrusive manner: it requires no changes to existing servers or protocols. The key idea in enabling such a witness service is a novel algorithm that splits the computation of a message authentication code (MAC) between the client and the witness. We have implemented a prototype witness, tested it with real web sites and measured its performance. The experimental results show that the overhead of a witness is comparable to that of a web proxy. Therefore, the witness design can be implemented reasonably efficiently in practice.
Incorporating the Environment-sensing Capability of Wireless Sensor Networks into Video- Based Surveillance Systems Can Provide Advanced Services at a Lower Cost than Traditional Surveillance Systems.the Integrated Mobile Surveillance and Wireless Sensor System Imouse: an Integrated Mobile Surveilla

• It provides online real-time monitoring. For example, when the system is capturing events, the static sensors can immediately inform users where the events are occurring, and the mobile sensors can later provide detailed images of these events. • It’s event-driven, in the sense that only when an event occurs is a mobile sensor dispatched to capture images of that event. Thus, iMouse can avoid recording unnecessary images when nothing happens. • The more expensive mobile sensors are dispatched to the event locations. They don’t need to cover the whole sensing field, so only a small number of them are required. • It’s both modular and scalable. Adding more sophisticated devices to the mobile sensors can strengthen their sensing capability without substituting existing static sensors.
Panel Stationarity Tests with Cross-sectional Dependence

We present a test of the null hypothesis of stationarity against unit root alternatives for panel data that allows for arbitrary cross- sectional dependence. We treat the short run time series dynamics non- parametrically and thus avoid the need to fit separate models for the individual series. The statistic is simple to compute and is asymptotically normally distributed, even in the presence of a wide range of deterministic components. Taken together, these features provide a generally applicable solution to the problem of testing for stationarity versus unit roots in macro-panel based data. The test is applied to assess the validity of the purchasing power parity hypothesis and finds significant evidence against the hypothesis being true.
Walking motion assist device with an integrated tilt sensor

Walking motion assisting exoskeleton device comprises a leg portion brace for connecting each of the plurality of appliances, and parts of the human leg, including the trunk supporting structure for fixing the body parts of the person. Instrument further comprises at least one motorized joint for providing for connecting two, and the relative angular movement between the two appliances of the brace. Instrument, for detecting the inclination of the exoskeleton, of at least one tilt sensor mounted on the exoskeleton device, and for receiving a detection signal from the inclination sensor, and for actuating the motorized joint according to the detection signal including programmed controller algorithm comprising instructions. FIELD 1A
Ipsilateral recurrent lumbar disc herniation. A prospective, controlled study.

We analysed prospectively 26 patients who had revision operations for ipsilateral recurrent radicular pain after a period of pain relief of more than six months following primary discectomy. They were assessed before the initial operation, between the two procedures and at a minimum of two years after reoperation. MRI was performed before primary discectomy and reoperation. Fifty consecutive patients who had a disc excision during the study period but did not have recurrent radicular pain, were analysed as a control group. Of the study group 42% related the onset of recurrent radicular pain to an isolated injury or a precipitating event, but none of the control group did so (p < 0.001). T2-weighted MRI performed before primary discectomy showed that patients in the study group had significantly more severe disc degeneration compared with the control group (p=0.02). Intraoperative findings revealed recurrent disc herniation in 24 patients and bulging of the disc in two, one of whom also had lateral stenosis. Epidural scarring was found to be abundant, intraoperatively and on MRI, in eight and in nine patients, respectively. At the last follow-up, the clinical outcome was satisfactory in 85% of patients in the study group and in 88% of the control group (p > 0.05). Work or daily activities had been resumed at the same level as before the onset of symptoms by 81% of the patients in the study group and 84% of the control group. No correlation was found between the amount of epidural fibrosis, as seen intraoperatively and on MRI, and the result of surgery. The recurrence of radicular pain caused no significant changes in the psychological profile compared with the assessment before the primary discectomy.