Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between Psychological Contract Violation, Supervisory Support, Psychological Contract Breach and Organizational Citizenship Behavior

The purpose of the study is to examine the relationship between psychological contract breach and organizational citizenship behavior with the mediating role of psychological contract violation and supervisory support is acting as moderator. We are presenting here five hypotheses simultaneously, which we have based on theoretical relations effects of all the four variables. ( Psychological Contract Violation, Supervisory Support, Psychological Contract Breach and Organizational Citizenship Behavior). The data was collected from a sample of 250 employees of Pakistan National Council of the Arts and Planning and development commission of Pakistan. Convenient sampling method was used to obtain fair results. We used Correlation/Regressions analysis so that we can explore the mediating effects of Psychological Contract Violation on the relationships between psychological contract breach and organizational citizenship behaviors. In order to analyze the moderation, a stepwise hierarchical regression method was used, this method moderate variable and moderates the relationship that exists between Psychological Contract Breach and Organizational Citizenship Behavior. A negative relationship was found between psychological contract breach and organizational citizenship behavior which was mediated by Psychological Contract Violation. such that the relationship was stronger for the employees with low Psychological Contract Violation. This study puts forward PCV as a strong reliant factor is mediating the relationship of PCB and OCB and supervisory support as strengthening factor that moderates the relationship of PCV and OCB , Our research will help the managers to understand the role of psychological contract violation (PCV) and supervisory support (SS) at the work place and how to use it positively for productivity of the organization,.
Identification and characterization of anonymous nuclear markers for the double-striped cockroach, Blattella bisignata

Abstract During the last decade, multilocus analysis has gradually become a powerful tool for the studies of population genetics and phylogeography. The double-striped cockroach, Blattella bisignata, is endemic to southeast Asia, and there is currently little genetic information available for the species. We chose it as the target species to investigate a biodiversity hotspot in southwest China. Here, we report the identification and characterization of 11 single-copy anonymous nuclear markers with an average length of 378bp. These loci, isolated from a genomic library of B. bisignata, can amplify in two additional Blattella species (B. germanica and B. lituricollis). While testing these markers in representative species of Blattellidae, Blattidae and Epilampridae, some of them can cross-amplify successfully. After sequencing 30 individuals collected from southern China per locus, we found relatively high variability (approximately 3.6 SNPs per 100bp). Finally, a small-scale study was also performed to show that these markers do indeed fulfill the expectations as phylogeographic markers.
Empirical likelihood inference in randomized clinical trials

In individually randomized controlled trials, in addition to the primary outcome, information is often available on a number of covariates prior to randomization. This information is frequently utilized to undertake adjustment for baseline characteristics in order to increase precision of the estimation of average treatment effects; such adjustment is usually performed via covariate adjustment in outcome regression models. Although the use of covariate adjustment is widely seen as desirable for making treatment effect estimates more precise and the corresponding hypothesis tests more powerful, there are considerable concerns that objective inference in randomized clinical trials can potentially be compromised. In this paper, we study an empirical likelihood approach to covariate adjustment and propose two unbiased estimating functions that automatically decouple evaluation of average treatment effects from regression modeling of covariate–outcome relationships. The resulting empirical likelihood estimator of the average treatment effect is as efficient as the existing efficient adjusted estimators1 when separate treatment-specific working regression models are correctly specified, yet are at least as efficient as the existing efficient adjusted estimators1 for any given treatment-specific working regression models whether or not they coincide with the true treatment-specific covariate–outcome relationships. We present a simulation study to compare the finite sample performance of various methods along with some results on analysis of a data set from an HIV clinical trial. The simulation results indicate that the proposed empirical likelihood approach is more efficient and powerful than its competitors when the working covariate–outcome relationships by treatment status are misspecified.
Novel drug delivery approaches on antiviral and antiretroviral agents

Viruses have the property to replicate very fast in host cell. It can attack any part of host cell. Therefore, the clinical efficacy of antiviral drugs and its bioavailability is more important concern taken into account to treat viral infections. The oral and parenteral routes of drug administration have several shortcomings, however, which could lead to the search for formulating better delivery systems. Now, a day's novel drug delivery systems (NDDS) proved to be a better approach to enhance the effectiveness of the antivirals and improve the patient compliance and decrease the adverse effect. The NDDS have reduced the dosing frequency and shorten the duration of treatment, thus, which could lead the treatment more cost-effective. The development of NDDS for antiviral and antiretroviral therapy aims to deliver the drug devoid of toxicity, with high compatibility and biodegradability, targeting the drug to specific sites for viral infection and in some instances it also avoid the first pass metabolism effect. This article aims to discuss the usefulness of novel delivery approaches of antiviral agents such as niosomes, microspheres, microemulsions, nanoparticles that are used in the treatment of various Herpes viruses and in human immunodeficiency virus (HIV) infections.
Conserved sequence motifs in the initiator proteins for rolling circle DNA replication encoded by diverse replicons from eubacteria, eucaryotes and archaebacteria

An amino acid motif was identified that consists of the sequence HisHydrHisHydrHydrHydr (Hydr--bulky hydrophobic residue) and is conserved in two vast classes of proteins, one of which is involved in initiation and termination of rolling circle DNA replication, or RCR (Rep proteins), and the other in mobilization (conjugal transfer) of plasmid DNA (Mob proteins). Based on analogies with metalloenzymes, it is hypothesized that the two conserved His residues in this motif may be involved in metal ion coordination required for the activity of the Rep and Mob proteins. Rep proteins contained two additional conserved motifs, one of which was located upstream, and the other downstream from the 'two His' motif. The C-terminal motif encompassed the Tyr residue(s) forming the covalent link with nicked DNA. Mob proteins were characterized by the opposite orientation of the conserved motifs, with the (putative) DNA-linking Tyr being located near their N-termini. Both Rep and Mob protein classes further split into several distinct families. Although it was not possible to find a motif or pattern that would be unique for the entire Rep or Mob class, unique patterns were derived for large subsets of the proteins of each class. These observations allowed the prediction of the amino acid residues involved in DNA nicking, which is required for the initiation of RCR or conjugal transfer of single-stranded (ss) DNA, in Rep and Mob proteins encoded by a number of replicons of highly diverse size, structure and origin. It is conjectured that recombination has played a major part in the dissemination of genes encoding related Rep or Mob proteins among the replicons exploiting RCR. It is speculated that the eucaryotic small ssDNA replicons encoding proteins with the conserved RCR motifs and replicating via RCR-related mechanisms, such as geminiviruses and parvoviruses, may have evolved from eubacterial replicons.
The Enemy in Your Own Camp: How Well Can We Detect Statistically-Generated Fake Reviews – An Adversarial Study

Online reviews are a growing market, but it is struggling with fake reviews. They undermine both the value of reviews to the user, and their trust in the review sites. However, fake positive reviews can boost a business, and so a small industry producing fake reviews has developed. The two sides are facing an arms race that involves more and more natural language processing (NLP). So far, NLP has been used mostly for detection, and works well on human-generated reviews. But what happens if NLP techniques are used to generate fake reviews as well? We investigate the question in an adversarial setup, by assessing the detectability of different fake-review generation strategies. We use generative models to produce reviews based on meta-information, and evaluate their effectiveness against deceptiondetection models and human judges. We find that meta-information helps detection, but that NLP-generated reviews conditioned on such information are also much harder to detect than conventional ones.
Impact of chip-level integration on performance of OLTP workloads

With increasing chip densities, future microprocessor designs have the opportunity to integrate many of the traditional system-level modules onto the same chip as the processor. Some current designs already integrate extremely large on-chip caches, and there are aggressive next-generation designs that attempt to also integrate the memory controller, coherence hardware, and network router all onto a single chip. The tight coupling of these modules will enable efficient memory systems with substantially better latency and bandwidth characteristics relative to current designs. Among the important application areas for high-performance servers, online transaction processing (OLTP) workloads are likely to benefit most from these trends due to their large instruction and data footprints and high communication miss rates. This paper examines the design trade-offs that arise as more system functionality is integrated onto the processor chip, and identifies a number of important architectural choices that are influenced by chip-level integration. In addition, the paper presents a detailed study of the performance impact of chip-level integration in the context of OLTP workloads. Our results are based on full system simulations of the Oracle commercial database engine running on both in-order and out-of-order issue processors used in uniprocessor and multiprocessor configurations. The results show that chip-level integration can improve the performance of both configurations by about 1.4 to 1.5 times, though for different reasons. For uniprocessors, integration of the L2 cache and the resulting lower hit latency is the primary factor in performance improvement. For multiprocessors, the improvement comes from both the integration of the L2 cache (lower L2 hit latency) and the integration of the other memory system components (better dirty remote latency). Furthermore, we find that the higher associativity afforded by integrating the L2 cache plays a critical role in counteracting the loss of capacity relative to larger off-chip caches. Finally, we find that the relative gains from chip-level integration are virtually identical for in-order and out-of-order processors.
Homography from a vanishing point in urban scenes

In this paper, we address the problem of computing the egomotion of a vehicle in an urban environment using dynamic vision. We assume a planar piecewise world where the planes are mainly distributed along three principal directions corresponding to the axes of a reference frame linked to the ground plane with a vertical z-axis. We aim to estimate both the motion of the car and the principal planes in the scene corresponding to the road and the frontages of the building from a sequence of images provided by an on-board uncalibrated camera. In this paper, we present preliminary results concerning the robust segmentation of the road using projective properties of the scene. We develop a two-stage algorithm in order to increase robustness. The first stage detects the borders of the road using a contour-based approach and primarily allows us to estimate the dominant vanishing point (DVP). The DVP and the borders of the road are then used to constrain the region where the points of interest, corresponding to the road lane markers, can be extracted. The second stage uses a robust technique based on projective invariant to match the lines and points between two consecutive images in the sequence. Finally, we compute the homography relating the points and lines lying on the road into the two images.
Finger Allocation for Advanced WCDMA Uplink

In this paper, we study alternative finger allocation algorithms for high speed uplink packet access (HSUPA) mode of wideband code division multiple access (WCDMA) receiver. Higher order modulation methods and additional data channels require advanced receiver structures and good quality signal estimates. Multipath radio channel disperses the signal energy in time, and in the receiver, finger allocation algorithm is needed to find the timing instants containing resolvable signal components. We present two finger allocation methods which offer fast response to the changes in channel, collect the most of the signal energy, and still keep the computational burden within limits. The receiver uses a chip rate minimum mean-squared error frequency domain equalizer (MMSE-FDE) for detection of the signal. Avoiding the Rake type two-phase finger allocation and tracking, we employ the impulse response measurement (IRM) values for finger allocation. Fingers are frequently re-allocated, and no separate finger tracking is needed. Allocation takes place either based on a threshold comparison, or by attempting to maximize the collected signal energy with a fixed number of fingers. These methods can also be combined. Performance results of the finger allocation algorithms are provided via simulations, and also a complexity comparison between the presented methods is given.
Scheduling CBR Flows: FIFO or Per-flow Queuing?

In this paper, we study the effect of using FIFO or fair queuing on the end-to-end delay and jitter observed by CBR traffic in large-scale networks, where: (1) the bandwidth requirement and the packet sizes vary considerably across the CBR flows; (2) the class of CBR flows occupy different fractions of the total link bandwidth; and (3) the class of CBR flows share each network link with several other flows with different packet arrival patterns. Our results provide an empirical basis to evaluate the effectiveness of FIFO and per flow scheduling for CBR flows, as well as guidelines for deploying CBR services in the Internet.
Translating user preferences into fuzzy rules for the automatic selection of services

This article proposes an approach for including user preferences and quality of service characteristics in the selection process of services. Our approach consists of a Domain ontology for the service description vocabulary, and a trader that facilitates user-preference-based service selection, combining imperfect service matching and ranking algorithms. The novelty of our approach lies in the fact that we automatically generate fuzzy rules starting from individual user preferences and use them in a fuzzy inference process that ranks the service candidates. We present our experiments to evaluate our approach using a prototype implementation of a service broker.
Stochastic HPSG

In this paper we provide a probabilistic interpretation for typed feature structures very similar to those used by Pollard and Sag. We begin with a version of the interpretation which lacks a treatment of re-entrant feature structures, then provide an extended interpretation which allows them. We sketch algorithms allowing the numerical parameters of our probabilistic interpretations of HPSG to be estimated from corpora.
The effect of natural silk fibroin microparticles on the physical properties and drug release behavior of biomedical polyurethane filament

Abstract In this study, filaments comprising natural silk fibroin microparticles (NSFP) and biomedical polyurethane (BPU) were prepared via wet-spinning as a reusable-controlled drug-delivery system. The rheological properties of the spinning solution were studied to examine the effect of NSFP on the BPU/NSFP filament formation. The influences of NSFP content and spinning conditions on the morphology, molecular interactions, mechanical properties, and swelling performance of BPU/NSFP filaments were also investigated. The morphology and mechanical property studies showed that NSPF and BPU exhibit good compatibility. The capacity of the BPU/NSFP filaments as drug loading carriers and drug release behavior were studied by spectroscopy. The presence of NSFP in the drug controlled system increase the drug loading amount and enhance the drug release time. This paper presents a well-designed manufacturing method for preparing BPU/NSFP filaments with good controlled drug delivery.
A novel method for scatterers type enumeration in polydisperse suspensions through fiber trapping and unsupervised scattering analysis

Colloids and suspensions are part of our daily routines. Even the blood is considered a “naturally” occurring colloid. However, the majority of colloids are complex and composed by a diversity of nano to microparticles. The characterization of both synthetic and physiological fluids in terms of particulate types, size and surface characteristics plays a vital role in products formulation, and in the early diagnosis through the identification of abnormal scatterers in physiological fluids, respectively. Several methods have been proposed for characterizing suspensions, including imaging, electrical sensing counters, hydrodynamic or field flow fractionation. However, the Dynamic Light Scattering (DLS) has evolved as the most convenient method from these. Based also on the scattering signal, we propose a novel, simple and fast method able to determine the number of different scatterers type present in a suspension, without any previous information about its composition (in terms of particle classes). This is achieved by collecting features from a 980 nm laser back-scattered signal acquired through a polymeric lensed optical fiber tip dipped into the solution. Unlike DLS, this technique allows the trapping of particles whose diameter ≥ 1 μm. For smaller particles, despite not guaranteeing their immobilization, it is also able to determine the number of different nanoparticles classes in an ensemble. The number of particle types was correctly determined for suspensions of synthetic particles and yeasts; different bacteria; and 100 nm nanoparticles types, using both Principal Component Analysis and K-means algorithms. This method could be a valuable alternative to complex and time-consuming methods for particles separation, such as field flow fractionation.
Urgency and Efficiency based Packet Scheduling Algorithm for OFDMA wireless system

In this paper, we propose an urgency and efficiency based wireless packet scheduling (UEPS) algorithm that is able to schedule real time (RT) and non-real time (NRT) traffics at the same time. The UEPS algorithm is designed to support wireless downlink packet scheduling in OFDMA system which is a strong candidate wireless system for the next generation mobile communications. The UEPS algorithm uses the time-utility function as a scheduling urgency factor and the relative status of the current channel to the average one as an efficiency indicator of radio resource usage. The design goal of the UEPS algorithm is to maximize throughput of NRT traffics with satisfying QoS requirements of RT traffics. Simulation study shows that the UEPS algorithm is able to give better throughput performance than existing wireless packet scheduling algorithms such as proportional fair (PF) and modified-largest weighted delay first (M-LWDF) while satisfying QoS requirements of RT traffics such as the average delay and the packet loss rate under various traffic loads.
Practical SMT-based type error localization

Compilers for statically typed functional programming languages are notorious for generating confusing type error messages. When the compiler detects a type error, it typically reports the program location where the type checking failed as the source of the error. Since other error sources are not even considered, the actual root cause is often missed. A more adequate approach is to consider all possible error sources and report the most useful one subject to some usefulness criterion. In our previous work, we showed that this approach can be formulated as an optimization problem related to satisfiability modulo theories (SMT). This formulation cleanly separates the heuristic nature of usefulness criteria from the underlying search problem. Unfortunately, algorithms that search for an optimal error source cannot directly use principal types which are crucial for dealing with the exponential-time complexity of the decision problem of polymorphic type checking. In this paper, we present a new algorithm that efficiently finds an optimal error source in a given ill-typed program. Our algorithm uses an improved SMT encoding to cope with the high complexity of polymorphic typing by iteratively expanding the typing constraints from which principal types are derived. The algorithm preserves the clean separation between the heuristics and the actual search. We have implemented our algorithm for OCaml. In our experimental evaluation, we found that the algorithm reduces the running times for optimal type error localization from minutes to seconds and scales better than previous localization algorithms.
Surface topography and bond strengths of feldspathic porcelain prepared using various sandblasting pressures.

OBJECTIVE The purpose of this study was to determine the bond strength of composite resin to feldspathic porcelain and its surface topography after sandblasting at different pressures. METHODS In this in vitro study, 68 porcelain disks were fabricated and randomly divided into four groups of 17. The porcelain surface in group 1 was etched with hydrofluoric acid. Groups 2, 3, and 4 were sandblasted at 2, 3 and 4 bars pressure, respectively. Surface topography of seven samples in each of the four groups was examined by a scanning electron microscope (SEM). The remaining 40 samples received the same silane agent, bonding agent, and composite resin and they were then subjected to 5000 thermal cycles and evaluated for shear bond strength. Data were analyzed using one-way anova. The mode of failure was determined using stereomicroscope and SEM. RESULTS The highest shear bond strength was seen in group 4. however, statistically significant differences were not seen between the groups (P = 0.780). The most common mode of failure was cohesive in porcelain. The SEM showed different patterns of hydrofluoric acid etching and sandblasting. CONCLUSION Increasing the sandblasting pressure increased the surface roughness of feldspathic porcelain but no difference in bond strength occurred.