Miracle-dz/UniFAR-FTUs huggingface dataset:
High Precision Simulation Techniques For Lattice Field Theory

An overview is given over the recently developed and now widely used Monte Carlo algorithms with reduced or eliminated critical slowing down. The basic techniques are overrelaxation, cluster algorithms and multigrid methods. With these tools one is able to probe much closer than before the universal continuum behavior of field theories on the lattice. This is demonstrated by reviewing some applications.
An Intellectual Approach for Providing Secure Environment in Real World Web Application

In recent years, widespread adoption of the internet has resulted in rapid advancement in information technologies. Internet is used by the general population for the purposes such as financial transactions, educational activities and countless other activities. This development of the Internet use has unfortunately been accompanied by a growth of malicious activity in the web application. Every organization uses web application for accessing their data from the database, these applications use user inputs to create a query for storing, retrieving data from the database. Although all the organizations are concerned about their data security, the attackers can still corrupt the data by using the techniques like SQL injection, Hijack future session attack, Privilege Escalation attack, which are commonly referred to as intrusion, it also includes another Application layer attack called DDoS attack. In this paper we present a novel approach for detecting all the intrusions and Application layer attack by analyzing user behavior and analyzing the user input queries using low interaction Honeypot technique.
Effects of Religious Versus Conventional Cognitive–Behavioral Therapy (CBT) on Suicidal Thoughts in Major Depression and Chronic Medical Illness

We compared the effectiveness of religiously integrated cognitive–behavioral therapy (RCBT) versus conventional CBT (CCBT) on decreasing suicidal thoughts in persons with major depressive disorder (MDD) and chronic medical illness (CMI). Persons ages 18–85 with MDD in the setting of CMI were randomized to either CCBT (n = 67) or RCBT (n = 65) to receive 10 50-min sessions over 12 weeks. Suicidal thoughts were assessed by 3 different measures and a combined measure at baseline, 4, 8, 12, and 24 weeks. Religiosity was assessed at baseline. Mixed effects growth curve models were used to compare the effects of treatment group on change in suicidal thoughts during treatment and 3 months afterward. No differences were found between treatment groups in the intention-to-treat (ITT) analysis. Secondary analyses also indicated no difference between groups. CCBT tended to be more effective than RCBT in reducing suicidal thoughts during the trial (group by time interaction B = −0.175, SE = 0.124, t(246) = −1.41, p = . 16) for the combined measure of suicidal thoughts in the ITT analysis, especially in those with low religiosity (B = −0.382, SE = 0.174, t(159) = −2.14, p = . 03). Baseline religiosity predicted a decline in suicidal thoughts over time independent of treatment group (B = −0.014, SE = 0.007, t(246) = −1.95, p = . 05). CCBT and RCBT are equally effective in decreasing suicidal thoughts. Religiosity predicts a decrease in suicidal thoughts independent of treatment group.
Comparative gene expression profiling of normal and human colorectal adenomatous tissues

Adenomatous colorectal polyps are the precursors of the majority of colorectal cancers. Investigation into the gene expression changes in the progression of colorectal adenoma may offer potential targets for the development of novel diagnostic strategies. Previous gene expression studies have generally been based on a limited number of cases or only focused on a single or a few genes. The present study aimed to identify molecular characteristics of colorectal adenoma through analysis of pathways and gene ontology. The study identified 808 upregulated and 857 downregulated genes. Among the 40 pathways enriched with differentially-expressed genes, the Staphylococcus aureus infection pathway and the intestinal immune network for immunoglobulin A production pathway were identified as the most statistically noteworthy pathways at the early stage for colorectal tumorigenesis (P<0.05). These results provide new understanding of colorectal adenoma pathogenesis, with the hope of offering theoretical support for future therapeutic studies.
Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data

Two different algorithms for time‐alignment as a preprocessing step in linear factor models are studied. Correlation optimized warping and dynamic time warping are both presented in the literature as methods that can eliminate shift‐related artifacts from measurements by correcting a sample vector towards a reference. In this study both the theoretical properties and the practical implications of using signal warping as preprocessing for chromatographic data are investigated. The connection between the two algorithms is also discussed. The findings are illustrated by means of a case study of principal component analysis on a real data set, including manifest retention time artifacts, of extracts from coffee samples stored under different packaging conditions for varying storage times. We concluded that for the data presented here dynamic time warping with rigid slope constraints and correlation optimized warping are superior to unconstrained dynamic time warping; both considerably simplify interpretation of the factor model results. Unconstrained dynamic time warping was found to be too flexible for this chromatographic data set, resulting in an overcompensation of the observed shifts and suggesting the unsuitability of this preprocessing method for this type of signals. Copyright © 2004 John Wiley & Sons, Ltd.
Asparagus Root Regulates Cholesterol Metabolism and Improves Antioxidant Status in Hypercholesteremic Rats

Hyperlipidemia/hypercholesteremia are major risk factors for atherosclerosis and cardiovascular diseases. Root of Asparagus racemosus (AR) is widely used in Ayurvedic system of medicine in India and is known for its steroidal saponin content. This study was designed to investigate the hypocholesteremic and antioxidant potential of AR root in both normo- and hypercholesteremic animals. Normal and hypercholesteremic male albino rats were administered with root powder of AR (5 and 10 g% dose levels) along with normal and hypercholesteremic diets, respectively, for a duration of 4 weeks. Plasma and hepatic lipid profiles, fecal sterol, bile acid excretion and hepatic antioxidant activity were assessed. Inclusion of AR root powder in diet, resulted in a dose-dependant reduction in plasma and hepatic lipid profiles, increased fecal excretion of cholesterol, neutral sterol and bile acid along with increases in hepatic HMG-CoA reductase activity and bile acid content in hypercholesteremic rats. Further, AR root also improved the hepatic antioxidant status (catalase, SOD and ascorbic acid levels). No significant changes in lipid and antioxidant profiles occurred in the normocholesteremic rats administered with AR root powder. AR root appeared to be useful as a dietary supplement that offers a protection against hyperlipidemia/hypercholesteremia in hypercholesteremic animals. The results of the present study indicate that the potent therapeutic phyto-components present in AR root i.e. phytosterols, saponins, polyphenols, flavonoids and ascorbic acid, could be responsible for increased bile acid production, elimination of excess cholesterol and elevation of hepatic antioxidant status in hypercholesteremic conditions.
Synergies Between Big Data and Theory

Because of its potential to generate significant impact across problem domains, one phenomenon—big data—has been generating significant interest in the IS scholarly community as well as in other disciplines and practice in recent years. MIS Quarterly has published two editorials related to big data: one outlining opportunities for IS research at three levels—infrastructure, analytics, and transformation and impact (Goes 2014)—and a second specifying criteria for data science contributions in IS research (SaarTsechansky 2015). It has also published a special issue on Business Intelligence Research (2012) and will be publishing a special issue on Big Data and Analytics in Networked Business in December 2016. Other leading IS journals have also published editorials on different aspects of the big data phenomenon (e.g., Abassi et al. 2016; Agarwal and Dhar 2014).
Single-channel wireless transmission at 806 Mbit/s using a white-light LED and a PIN-based receiver

For the first time, we present optimized indoor visible light links at up to 806 Mbit/s using a single channel of a low-cost off-the-shelf RGB-LED. While the RGB-LED acts as transmitter, a high bandwidth Si-PIN photodiode is used at the receiver. Discrete multitone modulation (DMT) is applied to optimally adapt to the channel corresponding to each color. With illumination levels in the range of normal working environments at the receiver, the resultant BERs are below the forward-error-correction limit for standard correction mechanisms.
A Novel Procedure for In-field Calibration of Sourceless Inertial/Magnetic Orientation Tracking Wearable Devices

Recent research in the emerging field of phenomics aims at developing unobtrusive and ecological technologies which allow monitoring the behavior of infants and toddlers. Orientation tracking devices based on accelerometers and magnetometers represent a very promising technology since orientation in 3D space can be derived by solely relying upon the direction of the natural geomagnetic and gravitational fields which constitute an absolute coordinate frame of reference, i.e. sourceless. Many commercially available devices allow on-board calibration by means of addition of external circuitry, mainly used to generate artificial fields which act on the sensor itself as a known forcing input. Addition of external circuits is a major drawback in applications such as the one of interest, where the technology has to be worn by infants. When external fields, (e.g. gravitational and geomagnetic fields) are present, alternative calibration techniques are possible which rely on predefined orientation sequences of the sensor. In standard procedures, prior knowledge of the external field (magnitude and direction) as well as accuracy in performing the predefined orientation sequences contribute to determine the calibration parameters. In this work, a novel procedure for in-field calibration of magnetometric sensors is presented which does not rely on previous knowledge of magnitude and direction of the geomagnetic field and which does not require accurately predefined orientation sequences. Such a method proves especially useful in clinical applications since the clinician is no longer compelled to execute accurate calibration protocols
Adaptive weighted least squares algorithm for Volterra signal modeling

This paper presents a novel algorithm for least squares (LS) estimation of both stationary and nonstationary signals which arise from Volterra models. The algorithm concerns the recursive implementations of the method of LS which usually have a weighting factor in the cost function. This weighting factor enables nonstationary signal models to be tracked. In particular, the behavior of the weighting factor is known to influence the performance of the LS estimation. However there are certain constraints on the weighting factor. In this paper, we have reformulated the LS estimation with the commonly used exponential weighting factor as a constrained optimization problem. Specifically, we have addressed this constrained optimization using the Lagrange programming neural networks (LPNNs) thereby enabling the weighting factor to be adapted. The utility of our adaptive weighted least squares (AWLS) algorithm is demonstrated in the context of Volterra signal modeling in stationary and nonstationary environments. By using the Kuhn-Tucker conditions, all the LS estimated parameters may be shown to be optimal.
Full-Wave Hybrid Technique for 3-D Isotropic-Chiral-Material Discontinuities in Rectangular Waveguides: Theory and Experiment

Numerical results obtained using a full-wave hybrid technique (comprising a new formulation of the coupled-mode method and the mode-matching method) for treating 3-D isotropic- chiral-material discontinuities in rectangular wave guides with perfect electrically conducting walls were compared with experimental data. For that purpose, samples of an isotropic chiral material were manufactured as composite materials. These samples were then fully characterized in the X-band. The measured constitutive parameters were used in the full-wave hybrid technique to predict the scattering parameters of three different structures-each a waveguide filled partially with the isotropic chiral material. The scattering parameters were also measured. The predicted and measured scattering parameters were in reasonably good agreement.
Write scheme for multiple Complementary Resistive Switch (CRS) cells

Amongst emerging technologies with the potential to usher in a new generation of Non Volatile Memory (NVM) is the memristor. The memristor makes it possible to build simple and highly dense memory structure via cross point architecture. Memristor array however suffers exponentially from sneak path leakages as array size increases, which leads to excessive power consumption and poor data integrity. Complementary Resistive Switch (CRS) was proposed to mitigate the sneak-path problem. However, when writing into multiple cells in CRS-based memory array, the state of unselected and and half-selected cell(s) in the array are affected in an undesired way depending on the polarity, magnitude and duration of the voltage applied during the write operation. The effect of these disturbance to non-selected cell(s) is a resultant corrupted output in subsequent read operation on these cell(s). In this paper, we reviewed the basic operation of the memristor and CRS cell in relation to their application as a memory device. Finally, we implemented an improved scheme for writing alternating data patterns into multiple cells in CRS-based memory array, we also examine how the initial state of the cell affects the performance of this scheme.
Exploration of Term Relevance Sets

Evaluation of information retrieval (IR) systems can not always be based on the established pooling techniques and the resulting test sets. This especially affects domain specific IR systems and IR systems tailored for languages not supported by the test sets. IR system evaluation based on Term Relevance Sets (Trels) represents an alternative for these IR systems. The technique is still novel and little documentation exists. This paper presents the technique and our first investigations into Trels.
TCP-Peach and FACK/SACK options: putting the pieces together

TCP-Peach has been proposed for IP network scenarios characterized by long round trip times and high bit error rates, such as satellite networks. In the TCP-Peach congestion control scheme, Slow Start and Fast Recovery are replaced with new algorithms called Sudden Start and Rapid Recovery. In this paper protocol refinements for TCP-Peach are proposed to allow it to be utilized in cooperation with FACK/SACK options. The modified protocol has been implemented in the Linux 2.2. 17 kernel and its performance has been evaluated in an emulated satellite network environment. Performance results show that the modified TCP-Peach protocol outperforms other TCP implementations.
Neurobehavioral Function in Adults Recovering Consciousness after Severe Traumatic Brain Injury: A Scoping Review

1. Arksey, H. & O’Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19-32. 2. Burke, L. (2011). Measuring Treatment Benefit: Clinical Trial Outcome Assessments in the Evaluation of Medical Products. CDER, FDA. 3. Centers for Disease Control and Prevention. (2016, February). Severe TBI. Retrieved from: https://www.cdc. gov/traumaticbraininjury/severe.html 4. Health Evidence TM (2009, November 25). Keeping Track of Search Results: A Flowchart. Retrieved December 19, 2016. 5. Levac, D. , Colquhoun, H. , & O’Brien, K. K. (2010). Scoping studies: advancing the methodology. Implementation Science, 569-577. Search timeframe was limited to studies within the last 5 years.
Numerical Methods for Two-Parameter Local Bifurcation Analysis of Maps

We discuss new and improved algorithms for the bifurcation analysis of fixed points and periodic orbits (cycles) of maps and their implementation in matcont, a MATLAB toolbox for continuation and bifurcation analysis of dynamical systems. This includes the numerical continuation of fixed points of iterates of the map with one control parameter, detecting and locating their bifurcation points (i.e., limit point, period-doubling, and Neimark-Sacker) and their continuation in two control parameters, as well as detection and location of all codimension 2 bifurcation points on the corresponding curves. For all bifurcations of codim 1 and 2, the critical normal form coefficients are computed, both numerically with finite directional differences and using symbolic derivatives of the original map. Using a parameter-dependent center manifold reduction, explicit asymptotics are derived for bifurcation curves of double and quadruple period cycles rooted at codim 2 points of cycles with arbitrary period. These asymptotics are implemented into the software and allow one to switch at codim 2 points to the continuation of the double and quadruple period bifurcations. We provide two examples illustrating the developed techniques: a generalized Henon map and a juvenile/adult competition model from mathematical biology.
COOPERATIVE PACKET DELIVERY USING ENHANCED COOPERATIVE OPPORTUNISTIC ROUTING SCHEME (ECORS) IN MANET

Cooperative communication is an active area of research today. It enables the nodes to achieve spatial diversity, which leads to tremendous improvement in system capacity and delay. In this proposed system cooperative communication mechanism is used to determine a list of intermediate relay nodes that follows en-route to the destinations. Here, when data packets are broadcasted from a source node and the packets are received by a destination node along with the route. Cooperative communications which utilizes nearby terminals to relay the message transmissions also induces the non-cooperative nodes to participate in some opportunistic environments for achieving the diversity gains and to improve the efficiencies among the mobile nodes in wireless mobile ad hoc networks. The Enhanced Cooperative Opportunistic Routing Scheme (ECORS) which is based on light weight proactive source routing is used in this work to ensure the cooperation of participating mobile nodes in MANETs. This new protocol is used to easily identify the intermediate nodes and establishing the trusted routes. The comparative performance analyses among AODV versus ECORS are properly carried out and the better cooperative packet delivery ratio, increased throughput and decreased delay in packet delivery are achieved in this network simulation.
Single-cell analysis of circadian dynamics in tissue explants

Studying signaling dynamics in single cells in vivo is critical to understanding how cells act and interact in 3D environments. Experimental and computational tools to quantify a circadian reporter in single cells in intact tissues for >1 wk are used to analyze the period, amplitude, and synchrony of circadian rhythms in vivo.
Influenza A virus PB1-F2 protein prolongs viral shedding in chickens lengthening the transmission window

Avian influenza is a significant economic burden on the poultry industry in geographical regions where it is enzootic. It also poses a public health concern when avian influenza subtypes infect humans, often with high mortality. Understanding viral genetic factors which positively contribute to influenza A virus (IAV) fitness – infectivity, spread and pathogenesis – is of great importance both for human and livestock health. PB1-F2 is a small accessory protein encoded by IAV and in mammalian hosts has been implicated in a wide range of functions that contribute to increased pathogenesis. In the avian host, the protein has been understudied despite high-level full-length conservation in avian IAV isolates, which is in contrast to the truncations of the PB1-F2 length frequently found in mammalian host isolates. Here we report that the presence of a full-length PB1-F2 protein, from a low pathogenicity H9N2 avian influenza virus, prolongs infectious virus shedding from directly inoculated chickens, thereby enhancing transmission of the virus by lengthening the transmission window to contact birds. As well as extending transmission, the presence of a full-length PB1-F2 suppresses pathogenicity evidenced by an increased minimum lethal dose in embryonated chicken eggs and increasing survival in directly infected birds when compared to a virus lacking an ORF for PB1-F2. We propose that there is a positive pressure to maintain a full-length functional PB1-F2 protein upon infection of avian hosts as it contributes to the effective transmission of IAV in the field.
Targeting Mortalin by Embelin Causes Activation of Tumor Suppressor p53 and Deactivation of Metastatic Signaling in Human Breast Cancer Cells

Embelin, a natural quinone found in the fruits of Embelia ribes, is commonly used in Ayurvedic home medicine for a variety of therapeutic potentials including anti-inflammation, anti-fever, anti-bacteria and anti-cancer. Molecular mechanisms of these activities and cellular targets have not been clarified to-date. We demonstrate that the embelin inhibits mortalin-p53 interactions, and activates p53 protein in tumor cells. We provide bioinformatics, molecular docking and experimental evidence to the binding affinity of embelin with mortalin and p53. Binding of embelin with mortalin/p53 abrogates their complex resulted in nuclear translocation and transcriptional activation function of p53 causing growth arrest in cancer cells. Furthermore, analyses of growth factors and metastatic signaling using antibody membrane array revealed their downregulation in embelin-treated cells. We also found that the embelin causes transcriptional attenuation of mortalin and several other proteins involved in metastatic signaling in cancer cells. Based on these molecular dynamics and experimental data, it is concluded that the anticancer activity of embelin involves targeting of mortalin, activation of p53 and inactivation of metastatic signaling.
Investigations into a Slotted ALOHA protocol for a MIMO system operating under Rician channel conditions

This paper investigates a Slotted ALOHA protocol for a multi-user wireless system operating under partial Line of Sight (LOS) conditions in which both the base station and mobile users are equipped with multiple element antennas. The investigations focus on how physical layer parameters such as spatial correlation, mutual coupling and Rician factor K affect the system capacity. Probability model for a Slotted ALOHA under the condition of a Rician channel model to form two-layer (Physical-Medium Access Control) expressions is considered. The model includes spatial correlation and mutual coupling in array antennas. The obtained results show that spatial correlation has a negative effect on the system performance while mutual coupling can improve capacity under the small spacing of array antenna elements. It is also shown that active LOS nodes in the network can have an adverse impact on the system capacity. Controlling probability of transmission of LOS nodes is presented as a possible solution to the problem.