Miracle-dz/UniFAR-FTUs huggingface dataset:
Lipid Peroxidation and Its Role in the Expression of NLRP1a and NLRP3 Genes in Testicular Tissue of Male Rats: A Model of Spinal Cord Injury

Background: The majority of male patients with spinal cord injury (SCI) suffer from infertility. Nucleotide-binding oligomerization domain-like receptors NOD-like receptors (NLRs) are a kind of receptors that corporate in the inflammasome complex. Recent studies have introduced the inflammasome as the responsible agent for secreting cytokines in semen. Reactive oxygen species (ROS) is one of the elements that trigger inflammasome activation. Genital infections in SCI can lead to ROS generation. We investigated the relation between lipid peroxidation and inflammasome complex activity in testicular tissue of SCI rats. Methods: Adult male rats (n=20), weighting 200-250 g, were included and divided into four groups: three experimental groups, including SCI1, SCI3, and SCI7, i.e. the rats were subjected to SCI procedure and sacrificed after one, three, and seven days, respectively and a control group. We performed a moderate, midline spinal contusion injury at thoracic level 10. The animals were anesthetized, and testes were collected for measurement of gene expression by real-time PCR. Caudal parts of epididymis were collected for malondialdehyde (MDA) measurement. Results: No NLRP1a mRNA overexpression was seen in the testes of control and SCI groups. After seven days from SCI surgery, NLRP3 mRNA expression was significantly increased in SCI7 animals (p ≤ 0.05). There was a significant difference in MDA level in SCI7 versus control group, as well as SCI1 and SCI3 animals (p ≤ 0.05). Conclusion: NLRP3 overexpression occurs due to the increased ROS production in testis tissue of SCI rats
A Likelihood-Based Multiple Access for Estimation in Sensor Networks

In a wireless sensor network (WSN), the nodes collect independent observations about a nonrandom parameter thetas to be estimated, and deliver informations to a fusion center (FC) by transmitting suitable waveforms through a common multiple access channel (MAC). The FC implements some appropriate fusion rule and outputs the final estimate of thetas. In this paper, we introduce a new access/estimation scheme, here referred to as likelihood-based multiple access (LBMA), and prove it to be asymptotically efficient in the limit of increasingly large number of sensors , when the used bandwidth is allowed to scale as W ~capalpha,O.5 < alpha < 1 . The proposed approach is easy to implement, and simply relies upon the very basic property that the log likelihood is additive for independent observations, and upon the fact that the (noiseless) output of the MAC is just the sum of its inputs. Thus, the optimal fusion rule is automatically implemented by the MAC itself.
TECHNICAL REPORT Visual Analytics: A Multi-faceted Overview

Visual Analytics (VA) is an emerging field that provides automated analysis of large and complex data sets via interactive visualization systems in an effort to facilitate fruitful decision making. VA is a collaborative process between the human and the machine. In this paper, we present a multi-faceted overview of this human-computer collaboration. The system facet contains everything about the data, analytical tasks, visualization types and the relationships between them. The user facet contains the number and properties of the users. The collaboration facet covers the interactions between the system and the users within the context o fV A.
A survey of photon mapping state-of-the-art research and future challenges

Global illumination is the core part of photo-realistic rendering. The photon mapping algorithm is an effective method for computing global illumination with its obvious advantage of caustic and color bleeding rendering. It is an active research field that has been developed over the past two decades. The deficiency of precise details and efficient rendering are still the main challenges of photon mapping. This report reviews recent work and classifies it into a set of categories including radiance estimation, photon relaxation, photon tracing, progressive photon mapping, and parallel methods. The goals of our report are giving readers an overall introduction to photon mapping and motivating further research to address the limitations of existing methods.
An Evaluation of the Performance of RANSAC Algorithms for Stereo Camera Calibrarion

This paper compares the use of RANSAC for the determination of epipolar geometry for calibrated stereo reconstruction of 3D data with more conventional optimisation schemes. The paper illustrates the poor convergence efficiency of RANSAC which is explained by a theoretical relationship describing its dependency upon the number of model parameters. The need for an a-priori estimate of outlier contamination proportion is also highlighted. A new algorithm is suggested which attempts to make better use of the solutions found during the RANSAC search while giving a convergence criteria which is independent of outlier proportion. Although no significant benefit can be found for the use of RANSAC on the problem of stereo camera calibration estimation. The new algorithm suggests a simple way of improving the efficiency of RANSAC searches which we believe would be of value in a wide range of machine vision problems.
영역별 맞춤형 감성사전 구축을 통한 영화리뷰 감성분석

인터넷상의 데이터가 급속하게 증가함에 따라 막대한 양의 데이터를 목적에 맞게 적절히 활용하는 빅데이터 분석이 활발하게 진행되고 있다. 최근에는 기존의 정형 데이터분석이 가진 한계점을 보완하는 방법으로 비정형 데이터 분석 분야 중 하나인 텍스트마이닝 기법에 대한 연구들이 다수 이루어지고 있으며, 특히 텍스트를 기반으로 문장의 긍정, 부정을 판별하고 분류하는 감성분석과 관련된 연구들이 활발하게 이루어지고 있다. 이러한 연구의 연장선 상에서, 본 연구는 감성분석에 사용되는 감성사전을 데이터의 특성에 맞게 적절하게 변형하여 구축하는 방법을 시도하였다. 데이터가 속한 영역의 특성을 고려하지 않은 기존의 범용 감성사전을 감성분석에 사용할 경우, 해당 영역에서 쓰이는 단어 또는 감정 표현을 반영하지 못하므로 감성분석의 정확성이 떨어질 수 있다. 따라서 감성분석에 있어서 영역 맞춤형 감성사전의 사용 시 데이터 영역의 특성을 정확하게 반영해 분석의 정확성을 높여줄 것으로 기대할 수 있다. 본 연구에서는 영화 리뷰 데이터를 분석 대상으로 선정하였으며, 대표적 영화정보 사이트 IMDb에서 발생된 약 2년간의 영화리뷰 데이터를 수집·분석하였다. 분석에 앞서 영화 장르별 사용되는 단어의 의미가 각각 다를 것을 고려하여 영화를 ‘액션’, ‘애니메이션’, ‘코메디’, ‘드라마’, ‘공포’, ‘과학공상’ 6개 장르로 분류했다. 맞춤형 감성사전 구축을 위한 핵심 기법으로 SO-PMI(Semantic Orientation from Point-wise Mutual Information)를 활용하였으며, 어휘 간 극성이 뚜렷하게 구분되는 형용사에 한정하여 연구를 진행했다. 분석결과 맞춤형사전을 활용한 감성분석 예측정확도는 영화 장르별로 상이했다. ‘애니메이션’을 제외한 5개 장르에서 기존의 범용 감성사전대비 맞춤형 감성사전의 예측정확도가 통계적으로 유의한 수준의 성능 향상을 보였다. 본 연구에서는 데이터 영역의 특성에 맞는 맞춤형 사전 구축을 통한 감성분석의 예측의 성능 향상을 확인하였다. 향후 감성사전 구축 시 동사, 부사 등 다양한 품사의 어휘를 추가하여 감성분석 예측정확도를 높이는 방안을 모색할 수 있을 것이다.
Detection of Bacteriophage Particles Containing Antibiotic Resistance Genes in the Sputum of Cystic Fibrosis Patients

Cystic fibrosis (CF) is a chronic disease in which the bacterial colonization of the lung is linked to an excessive inflammatory response that leads to respiratory failure. The microbiology of CF is complex. Staphylococcus aureus is the first bacterium to colonize the lungs in 30% of pediatric CF patients, and 80% of adult patients develop a chronic Pseudomonas aeruginosa infection, but other microorganisms can also be found. The use of antibiotics is essential to treat the disease, but antibiotic performance is compromised by resistance mechanisms. Among various mechanisms of transfer of antibiotic resistance genes (ARGs), the recently been reported bacteriophages are the least explored in clinical settings. To determine the role of phages in CF as mobile genetic elements (MGEs) carrying ARGs, we evaluated their presence in 71 CF patients. 71 sputum samples taken from these patients were screened for eight ARGs (blaTEM, blaCTX-M-1-group, blaCTX-M-9-group, blaOXA-48, blaVIM, mecA, qnrA, and qnrS) in the bacteriophage DNA fraction. The phages found were also purified and observed by electron microscopy. 32.4% of CF patients harbored ARGs in phage DNA. β-lactamase genes, particularly blaVIM and blaTEM, were the most prevalent and abundant, whereas mecA, qnrA, and qnrS were very rare. Siphoviridae phage particles capable of infecting P. aeruginosa and Klebsiella pneumoniae were detected in CF sputum. Phage particles harboring ARGs were found to be abundant in the lungs of both CF patients and healthy individuals and could contribute to the colonization of multiresistant strains.
Area Codes, Large Volume (Non-)Perturbative alpha'- and Instanton - Corrected Non-supersymmetric (A)dS minimum, the Inverse Problem and Fake Superpotentials for Multiple-Singular-Loci-Two-Parameter Calabi-Yau's

We consider two sets of issues in this paper. The first has to do with moduli stabilization, existence of " area codes " [1] and the possibility of getting a non-supersymmetric dS minimum without the addition of D3-branes as in KKLT for type II flux compactifications. The second has to do with the " Inverse Problem " [2] and " Fake Superpotentials " [3] for extremal (non)supersymmetric black holes in type II compactifications. We use (orientifold of) a " Swiss Cheese " Calabi-Yau [4] expressed as a degree-18 hypersurface in WCP 4 [1, 1, 1, 6, 9] in the " large-volume-scenario " limit [5]. The main result of our paper is that we show that by including non-perturbative α ′ and instanton corrections in the Kähler potential and superpotential [6], it may be possible to obtain a large-volume non-supersymmetric dS minimum without the addition of anti-D3 branes a la KKLT. The chosen Calabi-Yau has been of relevance also from the point of other studies of Kähler moduli stabilization via nonperturbative instanton contributions [7] and non-supersymmetric AdS vacua (and their subsequent dS-uplifts) using (α ′)
Clinical importance of the drug interaction between statins and CYP3A4 inhibitors

Statins reduce the risk of major coronary outcomes and all cause mortality. They are generally well tolerated, but are associated with uncommon but serious adverse events. Pharmacokinetic studies show statins metabolized by the CYP3A4 isoenzyme (statin 3A4 substrates) are susceptible to drug interactions when concomitantly administered with drugs that inhibit the CYP3A4 isoenzyme (CYP3A4 inhibitors) potentially increasing the risk for adverse events. Studies to evaluate the clinical importance of the statinCYP3A4 inhibitor interaction are limited to anecdotal findings. This research endeavored to evaluate the clinical importance of the statin-CYP3A4 inhibitor drug interaction in two empiric investigations and a methodologic study. The preliminary empiric study was an analysis of spontaneous rhabdomyolysis reports. It showed an increased rhabdomyolysis reporting rate for simvastatin (a statin 3A4 substrate) but not for pravastatin (a statin non-3A4 substrate) with a concomitant CYP3A4 inhibitor. Substantial internal validity limitations, inherent in spontaneous reporting analyses, warranted additional research. To further assess the clinical importance of this drug interaction, we evaluated the validity of the multinomial propensity score as a confounding adjustment method in a simulated drug interaction study. The results from the simulation study provided support for using the multinomial propensity score in the second empiric study. The results showed the multinomial propensity score reduced bias, had greater coverage probability, and increased precision compared to binary propensity score methods. Investigators studying multinomial exposures, such as drug interactions, should consider the multinomial propensity score for confounding adjustment. The second empiric study was a large retrospective cohort study. The objective was to evaluate the hazard of muscle toxicity, renal dysfunction, and hepatic dysfunction among patients exposed to statin 3A4 substrates (atorvastatin and simvastatin) compared to statin non-3A4 substrates (fluvastatin, pravastatin, and rosuvastatin) with and without CYP3A4 inhibitor concomitancy. We found no overall increased hazard of muscle toxicity, renal dysfunction, or hepatic dysfunction associated with statin 3A4 substrates compared to statin non-3A4 substrates with versus without a concomitant CYP3A4 inhibitor. Given the magnitude and validity of this investigation, the drug interaction between statins and CYP3A4 inhibitors therefore does not represent a substantial public health concern. Degree Type Dissertation Degree Name Doctor of Philosophy (PhD) Graduate Group Epidemiology & Biostatistics This dissertation is available at ScholarlyCommons: http://repository.upenn. edu/edissertations/283 First Advisor Brian L. Strom, MD, MPH Second Advisor Warren Bilker, Ph.D. Third Advisor Sean Hennessy, PharmD, Ph.D.
Mining web multi-resolution community-based popularity for information retrieval

The PageRank algorithm is used in Web information retrieval to calculate a single list of popularity scores for each page in the Web. These popularity scores are used to rank query results when presented to the user. By using the structure of the entire Web to calculate one score per document, we are calculating a general popularity score, not particular to any community. Therefore, the PageRank scores are more suited to general queries. In this paper, we introduce a more general form of PageRank, using Web multi-resolution community-based popularity scores, where each document obtains a popularity score dependent on a given Web community. When a query is related to a specific community, we choose the associated set of popularity scores and order the query results accordingly. Using Web-community based popularity scores, we achieved an 11% increase in precision over PageRank.
QoS Taxonomy towards Wireless Body Area Network Solutions

To improve the health care facilities for the people a tiny, automated, and intelligent medical device and technology namely wireless body area network (WBAN) evolved. The derivation of this technology is wireless sensor network (WSN) consists of sensors, actuators, radio systems, and transmission systems which should be situated in, on, and around the human body to measure, store, and transmitted patients’ vital signs and syndromes for further investigation, treatment, decisions, and awareness. Researchers in all around the world now have very enthusiastic interest to advance this technology especially on certain standardizations like its architecture, cost effectiveness, energy consumption or power efficiency, security and privacy topics. Academicians are trying to improve the QoS factors in sensor networks by suggesting new protocols. But quality of services (QoS) factors concerning WBAN technology still remains insignificant whereas QoS issues are also a major concern. WBAN needs diverse functioning requirements vary from application to application which are very perceptive hence entail more attention. Research personnel concerning QoS issues in WBAN should handle real time data transmission system, data rate, end-to-end data transmission, data transmission accuracy rate, latency, delay time, jitter, low power data transmission, data availability, minimum data loss, data security, network coverage, frequency, bandwidth, throughput, and reliability matters very seriously and an effective way. In this paper we tried to focus on the overall limitation, scopes, and challenges issues concerning QoS factors in WBAN. We have also given our effort to identify, analyze and present some of the recent protocols and technologies developed towards updating QoS issues in WBAN. This research article will help the researchers, academicians and practitioners to further study, modification, and develop more efficient QoS-based-WBAN. At the end of this research paper a number of open research issues are also discussed.
BUILDING DYNAMIC CAPABILITIES THROUGH EMERGENT GROUPS IN AN UNCERTAIN WORLD

One Sunday in Southern California, with Santa Ana winds blowing, the tinder dry, and the temperature hot, a forest fire broke out that rapidly became uncontained. Then six more large fires broke out. Soon homes were consumed. The entire city of San Diego seemed engulfed in an uncontained firestorm. Two different emergent groups from a radio station and an internet software development firm composed of people with no previous experience working with each other and with different human capital resources quickly formed to provide help. Both groups performed well: one group created a map with evacuation routes and shelters that was independently identified as keeping the public calm and informed during the days of crises; the other group kept the map populated with critical information on the trajectory of the fire perimeter so the public could make informed guesses about whether they and their loved ones were in potential danger or had a home to return to. Of the two groups, however, only one succeeded in creating a new capability for both organizations that now have a new way of communicating to the public during emergencies. Why did one succeed at creating a new capability and one did not when the firms were the same, the environmental selection event that triggered the emergent groups was the same, and the opportunities for learning by doing were the same?
Linear model predictive control via feedback linearization for formation control of multiple wheeled mobile robots

This paper investigates the formation control of multiple differentially driven wheeled mobile robots (WMRs) based on the kinematic model and the leader-follower approach. A combination of linear model predictive control and input-output feedback linearization is implemented on a team of WMRs in order to accomplish a formation task. The linear model of each robot with nonlinear dynamics is found through feedback linearization, while model predictive control is applied to the linear model to perform the formation control. Stability analysis is proven, and simulation results are presented in order to demonstrate the performance of the proposed algorithm.
Game theoretic approaches for revenue sharing in federated cloud

Cloud federation is a new paradigm in Cloud Computing. It helps the Cloud Service Providers (CSPs) to overcome the limitation of their own resources to serve their clients. The CSPs can negotiate the possibility to borrow external resources from each other when their own facilities are not able to satisfy their client requests. Reciprocally, the CSPs may sell some of their unused resources to another CSPs in case of under load. The aim of this paper is to propose and analyse multiple revenue sharing models in a federated environment in the context of the Easi-Clouds, a European ITEA 2 research project. We discuss the specifications and models of Cloud Federation. We present the problem of revenue sharing in the federation and propose a set of properties the solution should fulfil. We propose and evaluate our revenue sharing models suited to the Federated environment with numerical analysis via simulation. We compare the proposed revenue sharing mechanisms and classify them based on different scenarios. Simple revenue sharing models can be adapted in specific cases. However, Game theoretical approaches can be more suitable in some scenarios, with the drawback of being more complex to implement.
Towards a Quantitative Comparison of the Cost-Benefit Trade-offs of Location-Independent Network Architectures

This paper presents a quantitative methodology and results comparing different approaches for locationindependent communication. Our approach is empirical, making comparisons using realistic Internet topologies, routing tables from real routers, and a measured workload of content and device mobility across network addresses in today’s Internet. To this end, we make the following contributions. First, we conduct a measurement of the extent of network mobility (or changing network addresses) exhibited by mobile users with a home-brewn Android app deployed on hundreds of smartphones, as well as the extent of network mobility exhibited by popular content served by CDNs today. Second, we develop a quantitative methodology to investigate the different cost-benefit tradeoffs struck by different location-independent architectures with respect to forwarding table size, routing update cost, and path stretch. Third, we combine this methodology with the network mobility traces to quantify these tradeoffs for a hypothetical deployment of these architectures on top of existing networks in the current Internet. We find that with purely name-based routing approaches, each event involving the mobility of a device or popular content may result in an update to up to 14% of Internet routers; however, the fraction of impacted routers is much smaller for the long tail of unpopular content. These results suggest that recent proposals for information-centric networking may be suitable for content that does not move frequently but may need to be augmented with Mobile IP or DNS like approaches to handle device mobility. We also find that more than 20% of users make more than 10 IP address transitions a day, suggesting that mobility is the norm rather than the exception, so intrinsic and efficient network support for mobility is critical. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. SIGCOMM’14, August 17–22, 2014, Chicago, IL, USA. Copyright is held by the owner/author(s). Publication rights licensed to ACM. ACM 978-1-4503-2836-4/14/08 . $15.00. http://dx.doi. org/10.1145/2619239.2626333 .
Shunt bootstrapping technique to improve bandwidth of transimpedance amplifiers

c c,-1 = f(a,,-z, ., aora,,-1, L 2 , ., bo, h 1 ) (4) The result is easy to show since f(u,-*, ., a,, U,,,-,, b,n.2, ., bo, b,,) is the first bit of l o ~ ( o ( a ) + o(p)) = logr(o(y)) = ( ~ ( c ) ) ~ , the first bit of which is cm-,. The argument is repeated for the other bits. This shows that the same f can be used to calculate each bit of the logarithmic representation of y = a + 0. f can easily be implemented with logic gates or be stored in a ROM. The concept is similar to the Massey-Omura multiplier for elements represented in the normal basis expansion. The structure of the adder is similar to that of the Massey-Omura multiplier [ l , 21. It is particularly well suited for a parallel-input-serial-output implementation. f has no known general analytical form. It satisfies (i)Au,,r-l, . , a,, b,-], . , bo) =Abm-,, . , bo, a,-,, . , a,) (ii)Aagn. ,, . , a,, a,,-,, . , a,) = 1 (iii)f(u,,,-,, ., a,, 1, ., 1) =f(l , ., 1, a,.,, ., U,) = a,.
All-optical memory based on quantum dot semiconductor optical amplifiers (QD-SOAs) for advanced modulation formats

We proposed a fast all-optical regenerative memory loop which can be used for pulse amplitude modulation (PAM). The ultra-fast all-optical memory loop is based on the Mach-Zehnder interferometer (MZI) with quantum dot (QD) semiconductor optical amplifier (SOA) in each arm. It can operate at bit rates up to 100 Gb/s due to the fast gain recovery typical for QD-SOA. We have carried out the numerical simulations of the proposed fast all-optical regenerative memory loop for the PAM 4 modulation format.
Automatic detection of stress in speech

We have developed software based on the Stevens landmark theory to extract features in utterances in and adjacent to voiced regions. We then apply two statistical methods, closest-match (CM) and principal components analysis (PCA), to these features to classify utterances according to their emotional content. Using a subset of samples from the Actual Stress portion of the SUSAS database as a reference set, we automatically classify the emotional state of other samples with 75% accuracy, using CM either alone or with PCA and CM together. The accuracy apparently does not depend strongly on measurement errors or other small details of the present data, giving confidence that the results will be applicable to other data.