Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling And Performance Evaluation Of Branch And Value Prediction In Ilp Processors

Speculative execution is one of the key issues to boost the performance of future generation microprocessors. In this paper, we introduce a novel approach to evaluate the effects of branch and value prediction, which allow the processor to execute instructions beyond the limits of control and true data dependences. Until now, almost all the estimations of their performance potential under different scenarios have been obtained using trace-driven or execution-driven simulation. Occasionally, some simple deterministic models have been used. We employ an analytical model based on recently introduced Fluid Stochastic Petri Nets (FSPNs) in order to capture the dynamic behavior of an ILP processor with aggressive use of prediction techniques and speculative execution. Here we define the FSPN model, derive the state equations for the underlying stochastic process and present performance evaluation results to illustrate its usage in deriving measures of interest. Our implementation-independent stochastic modeling framework reveals considerable potential for further research in this area using numerical solution of systems of partial differential equations and/or discrete-event simulation of FSPN models.
Turkey - rapid coverage for compulsory education: the 1997 basic education program

During the 1990s the Turkish government felt it needed to address the high inflation, deteriorating standard of living, worsening income distribution, and appearance of a poverty-stricken population. It sought a specific, concrete, cost-effective solution that would directly address the needs and concerns of the least advantaged. There was consensus that education should be one of the first objectives. Since the early 1970s successive governments of Turkey have sought to extend the amount of compulsory education provided to all children to eight years from five years, and to expand coverage to 100 percent of school-age children. But they experienced difficulty covering the last segment of the target population, children ages 11-13. The breakthrough came with the passage of a law in 1997 that introduced a new eight-year compulsory education system. This law was buttressed by substantial new funding, which financed additional infrastructure and human resources to replace a system consisting of five-year primary schools and three-year lower secondary schools with one consisting of eight-year primary schools.
From structure to interpretation : A double-layered annotation for event factuality

Current work from different areas in the field points out the need for systems to be sensitive to the factuality nature of events mentioned in text; that is, to recognize whether events are presented as corresponding to real situations in the world, situations that have not happened, or situations of uncertain status. Event factuality is a necessary component for representing events in discourse, but for annotation purposes it poses a representational challenge because it is expressed through the interaction of a varied set of structural markers. Part of these factuality markers is already encoded in some of the existing corpora but always in a partial way; that is, missing an underlying model that is capable of representing the factuality value resulting from their interaction. In this paper, we present FactBank, a corpus of events annotated with factuality information which has been built on top of TimeBank. Together, TimeBank and FactBank offer a double-layered annotation of event factuality: where TimeBank encodes most of the basic structural elements expressing factuality information, FactBank adds a representation of the resulting factuality interpretation.
The Citrullus Colocynthis pulp antioxidant activity on oxidative stress factors of liver in streptozotocin-induced diabetic rats

Introduction: Diabetes mellitus is a metabolic disorder and it is estimated that its annual incidence rate will continue to increase in the future worldwide. Increased oxidant factors and decreased antioxidant defense are two of the factors resulting in diabetes. In the present study, we aimed to investigate Citrullus Colocynthis pulp effects on oxidant and antioxidant factors of liver in streptozotocin-induced diabetic rats. Methods: Thirty-two male rats were divided into four groups eight each: N (normal) group, N+C group, D (diabetic) group, and D+C group. Groups N and D received normal saline 2ml orally for 2 weeks and Groups N+C and D+C received 10mg/kg Citrullus Colocynthis pulp orally for 2 weeks. Diabetes was induced by a single intraperitoneal injection of streptozotocin (STZ) at 65 mg/kg. Results: Diabetic group had a significant increase in H2O2 (Hydrogen peroxide), MDA (malondialdehyde) and CAT (catalase) activity and a significant decrease in POD (peroxidase) activity in liver tissues compared to N and D groups. Group D+C had a significant decrease in H2O2, MDA, and CAT concentrations in liver tissues and significant increase in POD activity in liver tissues compared to D group. Conclusion: These results suggest that treatment of diabetic rats with Citrullus colocynthis pulp decreased oxidant stress and support antioxidant defense in liver STZ-Induced diabetic rats.
Mitochondrial dynamism and the pathogenesis of Amyotrophic Lateral Sclerosis

Research on mitochondria in the last years has been characterized by the fundamental finding that the morphology of mitochondria is deeply connected to the regulation of a vast number of different processes, including oxidative phosphorylation and ATP production, calcium buffering, and apoptosis. This has immediately focused the attention of the neuroscience community to the possible involvement of mitochondrial dynamism, the process underlying morphological features of mitochondria, in neurodegeneration, where mitochondrial dysfunction is believed to represent an important contributing event, or even a primary causative factor. Amyotrophic Lateral Sclerosis (ALS), a disease of motor neurons and their neighboring cells, has long been considered as a neurodegenerative disease with an important mitochondrial issue. Yet, whether mitochondria have a causative, primary role in the pathogenic process has always been debated, and the specific defects which account for this role are elusive. Here we discuss recent genetic advances suggesting that defective mitochondrial dynamism is primarily involved in the pathogenic mechanisms of ALS, and that foster the longstanding concept that disruption of mitochondrial function is a vulnerable factor for motor neurons.
Adoption of Social Media in Education: A Cross-cultural Study

: Social media in education has the potential to enable new pedagogic student-centered ways by their bottom-up approach for supporting knowledge activities that harness collective intelligence unlike the hierarchical teacher-centered approaches. This paper discusses the opportunities and challenges posed by the fast growth of social media and the readiness for their adoption in education. It identifies the challenges which are included in educational use of social media. The paper presents the rationale of the SIMS (Social Media Networker) EU project. Primary data collected from both staff and students, across two countries (Greece and the UK), as well as secondary data from Finland are reported and analyzed. The paper concludes with lessons learned and provides guidelines for effective use of social media based on the core values of adoption, honesty, transparency and trust. Distribution of knowledge and responsibility is emphasized instead of centralization. The paper also suggests future research to understand the adoption issues of social-media-based e-learning.
Global Drivers of and Local Resistance to French Shareholder Activism

Shareholder activism in France has made significant advances during the past 25 years even as it continues to face formidable sources of local resistance. But if the list of corporate governance improvements since 1989 described by the authors might lead one to conclude that France now has minority shareholder protection and shareholder activism comparable to those of the U.S. or U.K., powerful local interests, including much of French management, labor, and government, continue to mount effective resistance to such forces for change. The French government still works closely with French business elites and unions to manage both individual companies and the general economy. And government officials continue to speak publicly of “protecting” French firms from “illegitimate” foreign shareholders.Accordingly, the authors characterize French corporate governance as a “hybrid” model of shareholder activism, one that incorporates the perspectives and interests of the classic French stakeholder model as well as an emerging shareholder value movement. Although foreign institutional investors have increased their shareholdings in French companies and promoted “best practice” governance rules, particularly with respect to voting rights, local forces will continue to resist aggressive shareholder activism. Such a hybrid model makes the outcomes of shareholder activism less predictable, a risk that foreign investors and companies often respond to by seeking alliances with local proxy advisers and investor associations to gain “legitimacy. ”
A family of centered random walks on weight lattices conditioned to stay in Weyl chambers

Under a natural asumption on the drift, the law of the simple random walk on the multidimensional first quadrant conditioned to always stay in the first octant was obtained by O'Connell in [O]. It coincides with that of the image of the simple random walk under the multidimensional Pitman transform and can be expressed in terms of specializations of Schur functions. This result has been generalized in [LLP1] and [LLP2] for a large class of random walks on weight lattices defined from representations of Kac-Moody algebras and their conditionings to always stay in Weyl chambers. In these various works, the drift of the considered random walk is always assumed in the interior of the cone. In this paper, we introduce for some zero drift random walks defined from minuscule representations a relevant notion of conditioning to stay in Weyl chambers and we compute their laws. Namely, we consider the conditioning for these walks to stay in these cones until an instant we let tend to infinity. We also prove that the laws so obtained can be recovered by letting the drift tend to zero in the transitions matrices obtained in [LLP1]. We also conjecture our results remain true in the more general case of a drift in the frontier of the Weyl chamber.
Design of a 10p-12s SMPM synchronous machine for a dynamic focus adjustment of a laser beam

This paper represents the design concepts and the test results of a Permanent Magnet Synchronous Motor (PMSM) for an electro-mechanical actuator used in a laser-cutting applications, for the dynamic focus adjustment. The motor is directly integrated with the mechanical components in a rotating-ballscrew architecture in order to minimize the total inertia and the actuator's size. The dynamic motion trajectory imposes a high acceleration-torque at high speeds. A prototype has been manufactured using the design data of the optimization procedure. Due to mechanical considerations and the stringent dimensional limits, the proposed motor has the PMs directly glued on the surface of the steel nut that represents the “rotor”. Test results confirm the performance of the system and the goodness of the prototype.
An EOQ model with Time-dependent demand rate under trade credits

This paper deals with the optimal policy for the customer to obtain its minimum cost when supplier offers both permissible delay as well as a cash discount for non – deteriorating items. The demand rate is time dependent. Four different cases are discussed. Case I: The payment is made at M1 to get a cash discount and T ≥ M1. Case II: The customer pays in full at M1 but T < M1. Case III: The payment is made at time M2 to get the permissible delay and T ≥ M2. Case IV: The customer pays in full at M2 but T < M2. Finally numerical examples are given to illustrate the proposed model.
MARKETING INTERNO E CULTURA ORGANIZACIONAL: UM ESTUDO DE CASO EM EMPRESA DE MULTI MARCAS

No strategic planning will survive to an human context inside the organizations, with no time spirit, iniciative, nor acting without the values defined by its managers. In short words, without line guides to compose its organizational culture. The anlysis of the organizational culture allows the company to identify unappriopriate cultural factors whose are interfering in the organizational invironament and so in people´s relationship, jeopardizing their work performance. This paper focused in organization culture and also the internal marketing appliation as an organization filosofy from marketing area, who contributes to implement the changes in employees behavior, seeking their engagement with organization targets. This research was performed in Comercial Importadora Ltda. , a multi brand company with thirtyfive employees located in Piracicaba-SP. The research results allowed the company to analyze its culture and indicated how organizational culture analysis contributes to use internal marketing technics revealing the applicability of both concepts.
Irregular sampling for X-ray imaging simulation

The simulation of X-ray images can be computed efficiently using raytracing, a technique well established in 3D computer graphics and rendering. Since raytracing is a discrete technique it is prone to aliasing artefacts. However, irregular sampling is able to mitigate this problem. In this paper the influence of the probability density function of the sampling process on the reconstructed spectral density is described. It is demonstrated that irregular sampling can be used in X-ray imaging simulation to reduce the impact of aliasing.
Detection is key - Harmonic detection methods for active power filter applications

This article gives a survey of the commonly used methods for harmonic detection in active power filters (APFs). The work proposes a simulation setup that decouples the harmonic detection method from the active filter model and its controllers. In this way, the selected methods can be equally analyzed and compared with respect to their performance, which helps in anticipating possible implementation issues. A comparison is given that may be used to decide the future hardware setup implementation. The comparison shows that the choice of numerical filtering is a key factor for obtaining a good accuracy and dynamic performance of an active power filter.
The frog and the octopus: a conceptual model of software development

We propose a conceptual model of software development that encompasses all approaches: traditional or agile, light and heavy, for large and small development efforts. The model identifies both the common aspects in all software development, i.e., elements found in some form or another in each and every software development project (Intent, Product, People, Work, Time, Quality, Risk, Cost, Value), as well as the variable part, i.e., the main factors that cause the very wide variations we can find in the software development world (Size, Age, Criticality, Architecture stability, Business model, Governance, Rate of change, Geographic distribution). We show how the model can be used as an explanatory theory of software development, as a tool for analysis of practices, techniques, processes, as the basis for curriculum design or for software process adoption and improvement, and to support empirical research on software development methods. This model is also proposed as a way to depolarize the debate on agile methods versus the rest-of-the-world: a unified model.
Lock elision for read-only critical sections in Java

It is not uncommon in parallel workloads to encounter shared data structures with read-mostly access patterns, where operations that update data are infrequent and most operations are read-only. Typically, data consistency is guaranteed using mutual exclusion or read-write locks. The cost of atomic update of lock variables result in high overheads and high cache coherence traffic under active sharing, thus slowing down single thread performance and limiting scalability. In this paper, we present SOLERO (Software Optimistic Lock Elision for Read-Only critical sections), a new lock implementation called for optimizing read-only critical sections in Java based on sequential locks. SOLERO is compatible with the conventional lock implementation of Java. However, unlike the conventional implementation, only critical sections that may write data or have side effects need to update lock variables, while read-only critical sections need only read lock variables without writing them. Each writing critical section changes the lock value to a new value. Hence, a read-only critical section is guaranteed to be consistent if the lock is free and its value does not change from the beginning to the end of the read-only critical section. Using Java workloads including SPECjbb2005 and the HashMap and TreeMap Java classes, we evaluate the performance impact of applying SOLERO to read-mostly locks. Our experimental results show performance improvements across the board, often substantial, in both single thread speed and scalability over the conventional lock implementation (mutual exclusion) and read-write locks. SOLERO improves the performance of SPECjbb2005 by 3-5% on single and multiple threads. The results using the HashMap and TreeMap benchmarks show that SOLERO outperforms the conventional lock implementation and read-write locks by substantial multiples on multi-threads.
RhoA/ROCK Signaling and Pleiotropic α1A-Adrenergic Receptor Regulation of Cardiac Contractility

Aims To determine the mechanisms by which the α1A-adrenergic receptor (AR) regulates cardiac contractility. Background We reported previously that transgenic mice with cardiac-restricted α1A-AR overexpression (α1A-TG) exhibit enhanced contractility but not hypertrophy, despite evidence implicating this Gαq/11-coupled receptor in hypertrophy. Methods Contractility, calcium (Ca2+) kinetics and sensitivity, and contractile proteins were examined in cardiomyocytes, isolated hearts and skinned fibers from α1A-TG mice (170-fold overexpression) and their non-TG littermates (NTL) before and after α1A-AR agonist stimulation and blockade, angiotensin II (AngII), and Rho kinase (ROCK) inhibition. Results Hypercontractility without hypertrophy with α1A-AR overexpression is shown to result from increased intracellular Ca2+ release in response to agonist, augmenting the systolic amplitude of the intracellular Ca2+ concentration [Ca2+]i transient without changing resting [Ca2+]i. In the absence of agonist, however, α1A-AR overexpression reduced contractility despite unchanged [Ca2+]i. This hypocontractility is not due to heterologous desensitization: the contractile response to AngII, acting via its Gαq/11-coupled receptor, was unaltered. Rather, the hypocontractility is a pleiotropic signaling effect of the α1A-AR in the absence of agonist, inhibiting RhoA/ROCK activity, resulting in hypophosphorylation of both myosin phosphatase targeting subunit 1 (MYPT1) and cardiac myosin light chain 2 (cMLC2), reducing the Ca2+ sensitivity of the contractile machinery: all these effects were rapidly reversed by selective α1A-AR blockade. Critically, ROCK inhibition in normal hearts of NTLs without α1A-AR overexpression caused hypophosphorylation of both MYPT1 and cMLC2, and rapidly reduced basal contractility. Conclusions We report for the first time pleiotropic α1A-AR signaling and the physiological role of RhoA/ROCK signaling in maintaining contractility in the normal heart.
Reduced Order Electro-Thermal Models for Real-Time Health Management of Power Electronics

Real-time health management of power electronic devices is emerging as a key tool in the drive for cost, weight and volume in achieving efficient systems with high reliability and performance. Implementation of such schemes requires real-time electro-thermal models that can be used to predict the temperatures of device junctions, interfaces etc. that cannot ordinarily be measured during service. This paper presents a real-time reduced-order thermal model that includes a multi-rate computational method to improve efficiency. Results from the developed reduced-order model are presented along with experimental measurements that validate the model. The model is used as a tool to investigate the effects of module temperature variations for health management purposes.
A New Approach in Cooperative Decision Making in Multi-agent Systems Inspired by Human Visual Cortex

In this paper, a new approach in decision making process inspired by human visual cortex has been proposed. In this approach knowledge of a group of agents (training data) will be used for decision-making. The proposed approach tries to meet two fundamental features, i.e., robustness and specificity. The hierarchical model that has been represented in this work, tries to extract the knowledge about the behavior of the system from the training data set by finding the similar training data points. In this model the behavior of the system is governed by the clusters of training data points that in fact every cluster act as an expert. For every new data point, these experts try to predict the label of the corresponding data point and the result of the system is the aggregation of the predictions of different experts. This hierarchical model has been designed inspired by a computational model of object recognition in human cortex. The approach has been used to forecast Mackey-Glass time series and has shown acceptable results.
A New Channel in Reo with Fuzzy Method

Reo is a Coordination Language which is Channel Based that is used in order to connect components and is able to send certain Data through connectors. Most simple Connectors in Reo are Channels. Reo proffers a pattern for composition of Components that can be used as a language for coordinating parallel applications. Reo has been stated crisp for communication and connecting Components and cooperation of Data and non-crisp side of sending Data has not been proffered. Whereas certain applications have non-crisp side and it is not possible to apply them by Reo, therefore in this paper non-crisp side of sending Data by making fuzzy Reo Channel by using fuzzy rules is proposed.
High performance data mining using the nearest neighbor join

The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the result contains all pairs of similar objects. Well-known are two types of the similarity join, the distance range join where the user defines a distance threshold for the join, and the closest point query or k-distance join which retrieves the k most similar pairs. In this paper, we investigate an important, third similarity join operation called k-nearest neighbor join which combines each point Of one point set with its k nearest neighbors in the other set. It has been shown that many standard algorithms of Knowledge Discovery in Databases (KDD) such as k-means and k-medoid clustering, nearest neighbor classification, data cleansing, postprocessing of sampling-based data mining etc. can be implemented on top of the k-nn join operation to achieve performance improvements without affecting the quality of the result of these algorithms. We propose a new algorithm to compute the k-nearest neighbor join using the multipage index (MuX), a specialized index structure for the similarity join. To reduce both CPU and I/O cost, we develop optimal loading and processing strategies.