Miracle-dz/UniFAR-FTUs huggingface dataset:
Examination of a Causal Model of Family-of-Origin's Health, Attachment Styles, and Marital Commitment with the Mediating Role of Self- Differentiation

Abstract Introduction: The aim of the current study was to investigate the mediating role of self-differentiation between family-of-origin health and attachment styles with marital commitment. Method: The present study was a descriptive correlational research. The population included all couples from the city of Kerman. A sample of 223 married people was selected through convenience sampling method. The data was collected through Dimensions of Commitment Inventory (DCI), Family of Origin al Scale (FOS), Differentiation of Self Inventory (DSI), and Adult Attachment Scale (AAS). To analyze data, structural regression was used as one of the Structural Equation Modeling (SEM). Result: The results of this study showed that the family-of-origin health and attachment styles can only predict marital commitment via the mediating role of self-differentiation. In other words, the variable of self-differentiation, between the family-of-origin health and attachment styles with marital commitment plays a full mediator role. Conclusion: Although changing some basic characteristics such as family-of-origin and attachment styles is difficult, marital commitment can enhance via enhancing of self-differentiation.
Symbol Error Probability of Orthogonal Space-Time Block Codes with QAM in Slow Rayleigh Fading Channel

In this paper, using the exact expression for the pairwise error probability derived in terms of the message symbol distance between two message vectors rather than the codeword symbol distance between two transmitted codeword matrices, the exact closed form expressions for the symbol error probability of any linear orthogonal space-time block codes in slow Rayleigh fading channel are derived for QPSK, 16-QAM, 64-QAM, and 2 56-QAM. key words: space-time codes, space-time block codes, orthogonal space-time codes, quadrature amplitude modulation, pairwise error probability
Association between Vascular Endothelial Growth Factor Polymorphisms and Age-Related Macular Degeneration: An Updated Meta-Analysis

Age-related macular degeneration (AMD) is the most common cause of blindness in elderly people worldwide and the major degenerative disease of the retina that leads to progressive impairment of central vision. Several polymorphisms in different genes have been proposed as factors that increase the disease susceptibility. The aim of the present study is to carry out a systematic review and an updated meta-analysis in order to summarize the current published studies and to evaluate the associations between four common vascular endothelial growth factor (VEGF) polymorphisms (rs833061, rs1413711, rs3025039, and rs2010963) and AMD risk, also stratifying for AMD subtypes and ethnicity. A systematic literature search in the Medline database, using PubMed, was carried out for epidemiological studies, published before June 2016. Associations of VEGF polymorphisms with AMD were estimated by calculating pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) based on different models. Twelve articles were included in the analysis. The present meta-analysis constitutes a useful guide for readers to study AMD and adds new evidence to the growing literature on the role of VEGF polymorphisms in the risk of AMD. Significant associations with AMD risk were showed for rs833061, rs1413711, and rs3025039 polymorphisms but not for rs2010963.
Genetic Analysis of Mint/X11 Proteins: Essential Presynaptic Functions of a Neuronal Adaptor Protein Family

Mints/X11s are adaptor proteins composed of three isoforms: neuron-specific Mints 1 and 2, and the ubiquitously expressed Mint 3. We have now analyzed constitutive and conditional knock-out mice for all three Mints/X11s. We found that ∼80% of mice lacking both neuron-specific Mint isoforms (Mints 1 and 2) die at birth, whereas mice lacking any other combination of Mint isoforms survive normally. The ∼20% surviving Mint 1/2 double knock-out mice exhibit a decrease in weight and deficits in motor behaviors. Hippocampal slice electrophysiology uncovered a decline in spontaneous neurotransmitter release, lowered synaptic strength, and enhanced paired-pulse facilitation in Mint-deficient mice, suggesting a decreased presynaptic release probability. Acute ablation of Mint expression in cultured neurons from conditional Mint 1/2/3 triple knock-in mice also revealed a decline in spontaneous release, confirming that deletion of Mints impair presynaptic function. Quantitation of synaptic proteins showed that acute deletion of Mints caused a selective increase in Munc18-1 and Fe65 proteins, and overexpression of Munc18-1 in wild-type neurons also produced a decrease in spontaneous release, suggesting that the interaction of Mints with Munc18-1 may contribute to the presynaptic phenotype observed in Mint-deficient mice. Our studies thus indicate that Mints are important regulators of presynaptic neurotransmitter release that are essential for mouse survival.
Class management for software communities

Object-oriented programming may engender an approach to software development characterized by the large-scale reuse of object classes. Large-scale reuse is the use of a class not just by its original developers, but by other developers who may be from other organizations, and may use the classes over a long period of time. Our hypothesis is that the successful dissemination and reuse of classes requires a well-organized community of developers who are ready to share ideas, methods, tools and code. Furthermore, these communities should be supported by software information systems which manage and provide access to class collections. In the following sections we motivate the need for software communities and software information systems. The bulk of this article discusses various issues associated with managing the very large class collections produced and used by these communities.
Being well at work: the impact of organizational climate and social identity on employee stress and self-esteem over time

ABSTRACT In organizational psychology, staff perceptions of organizational climate have been found to be an important predictor of employee outcomes, such as employee stress. However, only a small pool of research has investigated the psychological mechanism that underpins the relationship, and no past literature has explored how the relationship persists over time. This paper uses the social identity approach to investigate whether social identification predicts and mediates the relationship between staff perceptions of organizational climate and their levels of stress and self-esteem over time. Employing a sample of public school teachers, the study was conducted over two years (N = 281, 65 schools). The results indicated that social identification fully mediated the relationship between organizational climate and self-esteem longitudinally but showed no significant relationship with stress. The implications of these findings are discussed, with recommendations for future research.
PVPP: A Programmable Vector Packet Processor

Recent work on simplifying data plane programming focuses on providing simple, high-level domain-specific languages (DSLs). These languages hide the complex and intricate details of the underlying switching substrate. Programmers write their data-plane programs in these languages which are then compiled to run on a given switch target, which further runs on a particular CPU architecture. However, the simplicity and the domain-specific nature of these DSLs and the lack of flexible switch interfaces that can be targeted by a DSL compiler restrict the ability to optimize generated code. In this work, we present our findings on how the complexity of interfaces on a software switch target available to a compiler can affect the performance of compiled data plane programs. For our experiment platform, we built a P4 compiler called the Programmable Vector Packet Processor (PVPP) targeting the existing Vector Packet Processor (VPP) software switch. P4 is a data plane DSL based on match-action tables, while VPP uses a packet processing node graph model. PVPP compiles a data plane program written in P4 to VPP's internal graph representation. VPP also exposes a sophisticated interface for PVPP to interact with the various features of the underlying architecture e.g., execution modes, memory types, and the batch I/O. Our evaluation shows that PVPP can efficiently exploit these features, resulting in the increased performance of the same data plane program.
Building National Infrastructures for Peace in Africa: Understanding the Role of the National Peace Council in Ghana

In this article, we provide an analysis of Ghana’s infrastructures for peace using the National Peace Council (NPC) as a case study. The article focuses on the composition, structures, tasks, achievements and challenges of the NPC. It argues that the NPC has made significant contributions in preventing and managing acts of violence that could have plunge Ghana into conflict. Its unique roles during the 2012 elections in Ghana are a testament to this assertion. Although some forms of violence did occur during the elections, our argument is that the violence would have become far worse if the NPC had not existed. Two key factors explain why the NPC was relatively successful in this regard. The first is its national mandate, independence and adoption of a bi-partisan approach in dealing with violence which has enhanced its credibility, legitimacy and sustainability. The second is the calibre of the members of the NPC who are not only respected and trusted but have the competence, knowledge and experience in matters relating to peaceful conflict resolution. These are some of the exceptional characteristics that underpin the relative accomplishments of the NPC which other Africa countries can emulate in establishing their architecture for peace.
Multi-User Piles Across Space

We introduce Multi-User Piles Across Space, a technique that allows co-located individuals with PDAs to share and organize information items (e.g., photos, text, sound clips, etc.) by placing these items in shared, imaginary off-screen piles. This technique relies on human capacities to remember spatial layouts, and allows small co-located groups with limited screen real estate to collaboratively manage information. Each participant can use their PDA's stylus to flick information to shared off-screen piles and view their contents. Connections are implemented through ad hoc WiFi. Optimistic concurrency control provides long term data consistency. We also describe an extension that allows PDA owners to transfer information items and piles to and from a tabletop display.
Glauber Dynamics and Ageing

The Glauber dynamics of various models (REM-like trap models, Brownian motion, BM model, Ising chain and SK model) is analyzed in relation with the existence of ageing. From a finite size Glauber matrix, we calculate a time τw(N) after which the system has relaxed to the equilibrium state. The case of metastability is also discussed. If the only non zero overlaps between pure states are only self-overlaps (REM-like trap models, BM model), the existence or absence of ageing depends only on the behavior of the density of eigenvalues for small eigenvalues. We have carried out a detailed numerical and analytical analysis of the density of eigenvalues of the REM-like trap models. In this case, we show that the behavior of the density of eigenvalues for typical trap realizations is related to the spectral dimension of the equivalent random walk model.
Experiments in Farsi Text Retrieval

-A series of experiments is being conducted on the Farsi language in the domain of laws in the university of Tehran. One of the goals of these experiments is to establish the performance of different weighting schemes and retrieval models. For the lack of a Farsi stemmer and some characterisitics of the language, it was decided to experiment with N-grams. With un-stemmed words and 2-grams, 3-grams and 4-grams and three weighting schemes (dnb.dtn, lnc.ltc and tfc.nfx), 12 experiments were conducted and the first top 20 documents were judged. It seems 3grams perform as well as unstemmed systems for lnc.ltc and tfc.nfx weights. However dnb.dtn outperforms any Ngram weighting schemes. Two linear combinations of the 3-grams and unstemmed words and a linear combination of the 3-grams, 4-grams and unstemmed words were also tried with the hope that each method could capture some aspects of the language. However the results did not show any improvement.
Anti-Idiotypic Antibody Specific to GAD65 Autoantibody Prevents Type 1 Diabetes in the NOD Mouse

Overt autoantibodies to the smaller isoform of glutamate decarboxylase (GAD65Ab) are a characteristic in patients with Type 1 diabetes (T1D). Anti-idiotypic antibodies (anti-Id) directed to GAD65Ab effectively prevent the binding of GAD65 to GAD65Ab in healthy individuals. Levels of GAD65Ab-specific anti-Id are significantly lower in patients with T1D, leading to overt GAD65Ab in these patients. To determine the possible protective role of GAD65Ab-specific anti-Id in T1D pathogenesis, we developed the monoclonal anti-Id MAb 8E6G4 specifically targeting human monoclonal GAD65Ab b96.11. MAb 8E6G4 was demonstrated as a specific anti-Id directed to the antigen binding site of b96.11. MAb 8E6G4 recognized human antibodies in sera from healthy individuals, T2D patients, and T1D patients as established by ELISA. We confirmed these MAb 8E6G4-bound human antibodies to contain GAD65Ab by testing the eluted antibodies for binding to GAD65 in radioligand binding assays. These findings confirm that GAD65Ab are present in sera of individuals, who test GAD65Ab-negative in conventional detection assays. To test our hypothesis that GAD65Ab-specific anti-Id have an immune modulatory role in T1D, we injected young Non Obese Diabetic (NOD) mice with MAb 8E6G4. The animals were carefully monitored for development of T1D for 40 weeks. Infiltration of pancreatic islets by mononuclear cells (insulitis) was determined to establish the extent of an autoimmune attack on the pancreatic islets. Administration of MAb 8E6G4 significantly reduced the cumulative incidence rate of T1D and delayed the time of onset. Insulitis was significantly less severe in animals that received MAb 8E6G4 as compared to control animals. These results support our hypothesis that anti-Id specific to GAD65Ab have a protective role in T1D.
HOW DOES WORKPLACE BULLYING TRIGGER VICTIM'S COUNTERPRODUCTIVE BEHAVIORS? THE MEDIATING ROLE OF PERCEIVED CO-WORKER SUPPORT

Purpose/Objectives: This study disentangles an important knot in the bullying literature by examining how and through what psychological processes workplace bullying triggers counterproductive work behaviors (CWBs) in its victims. Using the theory of triggered displaced aggression and stressor-emotion model of CWB we hypothesize that workplace bullying as a stressor leads to the development of negative perceptions of coworker support which prompt its targets to strike back by displaying CWBs both towards the source of abuse and redirect it towards others such as co-workers as well as organization. Methodology: By collecting two source field data (N= 334; Self-peer dyads) from employees working in the Education, Banking and Telecom sector of Pakistan, we tested our direct as well as mediation hypothesis using Structural Equation Modeling (SEM) technique. Findings: The results of SEM analysis support all the direct as well as indirect paths clearly suggesting that victims of bullying develop lower perceptions of coworker support which causes them to vent out their frustration creating higher levels of individually as well as organizationally directed CWBs. Practical Implications: Our study extends the mistreatment literature and is beneficial for managers as it examines and tests a unique mechanism of perceived coworker support in the through which a stressful condition of bullying ignites CWBs in its targets towards others and organization.
Real-Time Solving of Quantified CSPs Based on Monte-Carlo Game Tree Search

We develop a real-time algorithm based on a Monte-Carlo game tree search for solving a quantified constraint satisfaction problem (QCSP), which is a CSP where some variables are universally quantified. A universally quantified variable represents a choice of nature or an adversary. The goal of a QCSP is to make a robust plan against an adversary. However, obtaining a complete plan off-line is intractable when the size of the problem becomes large. Thus, we need to develop a realtime algorithmthat sequentially selects a promising value at each deadline. Such a problem has been considered in the field of game tree search. In a standard game tree search algorithm, developing a good static evaluation function is crucial. However, developing a good static evaluation function for a QCSP is very difficult since it must estimate the possibility that a partially assigned QCSP is solvable. Thus, we apply a Monte-Carlo game tree search technique called UCT. However, the simple application of the UCT algorithm does not work since the player and the adversary are asymmetric, i.e., finding a game sequence where the player wins is very rare. We overcome this difficulty by introducing constraint propagation techniques. We experimentally compare the winning probability of our UCT-based algorithm and the state-of-the-art alpha-beta search algorithm. Our results show that our algorithm outperforms the state-of-the-art algorithm in large-scale problems.
Shape parameter estimate for a glottal model without time position

From a recorded speech signal, we propose to estimate a shape parameter of a glottal model without estimating his time position. Indeed, the literature usually propose to estimate the time position first (ex. by detecting Glottal Closure Instants). The vocal-tract filter estimate is expressed as a minimum-phase envelope estimation after removing the glottal model and a standard lips radiation model. Since this filter is mainly biased in low frequencies by the glottal model, an estimation method of a shape parameter is proposed.The evaluation of the results of such an estimator is still difficult. Therefore, this estimator is evaluated with synthetic signals. Such an estimate is useful for voice analysis (ex. glottal source estimation), voice transformation and synthesis.
Performance-driven high-level synthesis with bit-level chaining andclock selection

This paper presents a new scheme for scheduling and control synthesis in high-level circuit design. The scheduling algorithm tries to maximize the performance of a design under resource constraints by maximizing the utilization of resources and minimizing clock slack. It exploits the technique of bit-level chaining (BLC) to target high-speed design. It also exploits noninteger multicycling and chaining, which allows multiple cycle execution of a set of chained operations and even sharing of chained functional units to obtain further performance at the cost of a small increase in the complexity of the control unit. Experimental results on several datapath-intensive designs show significant improvement in throughput over the conventional scheduling algorithms.
Lifetime and coverage maximization technique for mobile sensor networks

In recent times possess viewed a developing desire for the actual apps connected with wireless sensor communities (WSNs). In some of these apps, for instance lookup and also relief and also battlefield reconnaissance, a few cell nodes will be implemented so as to in concert survey an area of interest and/or conduct specific monitoring jobs. Like venture one of the detectors demands internode discussion thereby sustaining network on the web connectivity is important to the potency of WSNs. Though on the web connectivity could be provisioned with medical period then continual by way of watchful coordination when nodes go, extreme failing of your node postures an issue because network could get partitioned. Numerous strategies that will practice node moving to restore on the web connectivity possess been recently proposed. Even so, these types of strategies tend to disregard the feasible lack of insurance policy coverage in most areas, both a result of the failing alone or a result of the connectivity-limited concentrate on the recuperation. This paper floods that hole simply by addressing the actual on the web connectivity and also insurance policy coverage worries within the included manner. A new node repositioning Method along with a smaller amount percentage decrease in insurance policy coverage Intended for Mobile Sensor Sites protocol will be shown. Just about every next door neighbor quickly relocates to replacement the actual failed node, one at a time, then returns time for its authentic location. The simulation outcomes confirm the potency of the actual protocol.
Multiplicity adjustment for intersection-union test: detecting overlapping genes from multiple microarray gene lists

Detecting overlapping genes from multiple gene lists is a frequently used procedure in microarray- based studies. However in previous studies, the intersection operations of gene lists, formally known as the Intersection-Union Tests (IUTs), were performed without being aware of the incurred changes in Type 1 error rate. We presented an IUT adjustment procedure, called Relaxed IUT (RIUT), which is proved to be less conservative and more powerful for combining independent tests. We demonstrated the superiority of RIUT for detecting overlapping genes by simulation and two real toxicogenomic gene expression data sets. Notably, the better power of RIUT enables it to identify overlapping gene sets leading to known related pathways where traditional TUT fails to find.
Decoder-based evolutionary algorithm for bi-objective just-in-time single-machine job-shop

The bi-objective just-in-time single-machine job-shop scheduling problem (JIT-JSP) aims at simultaneously minimizing earliness and tardiness. In this paper, a multi-objective decoder-based evolutionary algorithm is proposed. The decoding strategy divides the search into two steps. In the first step, the search of the permutation order of the jobs is realized thanks to a multi-objective evolutionary algorithm. For a fixed permutation, the decoder algorithm optimizes the multi-objective timing sub-problem in the second step. Thus each permutation order induces a Pareto set of solutions. Two different decoding strategies to fix the idle times are proposed, one approximate and one exact. A comparison study with a classical multi-objective evolutionary algorithm underlines the performance of the proposed decoding strategy and the interest of the approximate decoder.
Modeling Material Reflection with BRDFLab

BRDFLab is a framework for modeling BRDFs intended for people working on representing, measuring and simulating material reflection. We describe the different functionalities provided by BRDFLab, which include the creation, inspection, fitting, and rendering of different types of BRDFs. We also show several examples of applications and describe how to easily expand its functionalities.
Simulation and adjustment of system dynamics on sustainable development of coal city

The coal city is a complex system composed of the subsystems such as population, resource, economic and environment. Sustainability in the coal city depends on the reasonable structure, development pattern of each subsystem and their effective adjustment. The concept of sustainability and the simulation method of system dynamics were combined, the system dynamics model for the coal city was built on the analysis of itspsila structure. The adjustment parameters such as procreate index, investment ratio of industry and resource recycling rate etc, were confirmed. The typical coal city of Jixi is taken as an example; five future development patterns were designed and run on the model. The simulated results indicate that the sustainable development pattern is the best development pattern for Jixi comparatively.