Miracle-dz/UniFAR-FTUs huggingface dataset:
A Fuzzy-Logic Based Control Methodology in Microgrids in the Presence of Renewable Energy Units

The mix of conveyed ages, for example, photovoltaic and wind and additionally substantial load varieties prompts the significant issue of recurrence soundness issue. This paper shows a multi-arrange recurrence control for microgrids. Vitality stockpiling frameworks, for example, BESSs are chosen as an adaptable and quick reaction gadget for this application. In the main stage, a PI control strategy in view of PSO for the BESS is connected so as to limit the recurrence deviations. Also, in possibility modes, in which the BESS with the enhanced PI control application can't balance out the framework because of the uneven circumstance of free market activity, quick response of the focal control framework administrator is essential so as to shield the system from crumple. Thus, in the second phase of the control, a Fuzzy-rationale recurrence controller as a brilliant controller is outlined. This controller proposes arrangements through power level change, for example, stack shedding in a brief time frame to save the system from instability. The proposed technique is approved by an arrangement of reproductions on a delegate microgrid. The viability of the proposed multi-organize control is delineated through the correlation with the one-arrange controller without the Fuzzy-rationale part.
Identifying collocations using cross-lingual association measures

We introduce a simple and effective crosslingual approach to identifying collocations. This approach is based on the observation that true collocations, which cannot be translated word for word, will exhibit very different association scores before and after literal translation. Our experiments in Japanese demonstrate that our cross-lingual association measure can successfully exploit the combination of bilingual dictionary and large monolingual corpora, outperforming monolingual association measures.
Performance and Long-Term Stability of the Prelaunch Radiometric Calibration Facility for the Clouds and the Earth's Radiant Energy System Instruments

The Radiometric Calibration Facility (RCF) at Northrop Grumman Aerospace Systems was used between 1995 and 2008 to establish the prelaunch calibration of the first six Clouds and the Earth's Radiant Energy System (CERES) instruments, with the seventh CERES instrument scheduled to be tested in the RCF in 2012. This paper reviews the performance of the RCF radiometric standards, which are the narrow-field blackbody (NFBB) and the short-wave reference source, as well as the RCF transfer active-cavity radiometer, in the context of the CERES prelaunch calibration process. A detailed investigation of the long-term stability of these standards over the 1999-2008 time span of CERES FM5 testing is reported, showing that the RCF calibrations in the long and short waves have remained stable relative to the NFBB absolute reference at levels of 0.06% and 0.5%, respectively, over the eight-year span.
Meshless Local Petrov-Galerkin ( MLPG ) method in combination with finite element and boundary element approaches

(2000) Meshless local Petrov–Galerkin (MLPG) method in combination with finite element and boundary element approaches. Abstract The Meshless Local Petrov-Galerkin (MLPG) method is an effective truly meshless method for solving partial differential equations using Moving Least Squares (MLS) interpolants. It is, however, computationally expensive for some problems. A coupled MLPG/Finite Element (FE) method and a coupled MLPG/Boundary Element (BE) method are proposed in this paper to improve the solution efficiency. A procedure is developed for the coupled MLPG/FE method and the coupled MLPG/BE method so that the continuity and compatibility are preserved on the interface of the two domains where the MLPG and FE or BE methods are applied. The validity and efficiency of the MLPG/FE and MLPG/BE methods are demonstrated through a number of examples.
Trust routing protocol based on congestion control in MANET

Some of the routing protocols in MANET use cryptographic algorithms and trust. In the routing protocols based on trust, the paths are not done according to the security. In order to do this nodes are created in the paths which have more trust than to other nodes. The trust models presented before have three main properties of the trust agent, reputation agent and combiner agent. Since the congestion control agent is crucial in the trust protocols, this article presents a developed trust protocol based on congestion control. In the presented model, the congestion control section guarantees the stability of network and does the distribution of the load on the most highly trust nodes. The suggested model is performed by the agents by on the network nodes. In order to show the probability of the presented model, it is done on the AODV protocol. In regard to the performed simulation on the OPNET environment using the presented model improves the efficiency of the network although trust are malicious nodes and congestion on the network.
Exploiting Temporal Binding to Learn Relational Rules within a Connectionist Network

Rules encoded by traditional rule-based systems are brittle and innexible because it is diicult to specify the precise conditions under which a rule should re. If the conditions are made too speciic a rule does not always re when it should. If the conditions are made too general, the rule res even when it should not. In contrast, connectionist networks are considered to be capable of learning soft and robust rules. Work in connectionist learning however, has focused primarily on classiication and feature formation, and the problem of learning rules involving relations and roles (variables) has received relatively little attention. We present a simple demonstration of rule learning involving relations and variables within a connectionist network. The network learns the appropriate correspondence between roles of antecedent and consequent relations as well as the features that role llers must possess for a rule to be applicable in a given situation. Each rule can be viewed as a mapping from the symbolic level to the symbolic level mediated by a semantic lter embedded within a subsymbolic level. The network uses synchronous ring of nodes to express dynamic bindings.
p38 MAP kinase–dependent phosphorylation of the Gp78 E3 ubiquitin ligase controls ER–mitochondria association and mitochondria motility

Epitope mapping of the 3F3A mAb identified p38 MAPK phosphorylation of Ser-538 of the E3 ubiquitin ligase Gp78. p38 MAPK phosphorylation of Ser-538 prevents Gp78-dependent mitofusin degradation, mitochondrial fission, and ER–mitochondria association, defining a novel regulatory mechanism of Gp78 activity at the ER–mitochondria interface.
A Comparison of Lower Extremity Biomechanics and Muscle Activity between Individuals with Normal and Pronated Static Foot Postures

iii Excessive foot pronation is associated with biomechanical alterations which contribute to common lower extremity (LE) injuries. We compared ankle, knee, and hip kinematics and activation of the gluteus maximus and medius and hip adductors during gait and double and single-leg squatting tasks between individuals with " pronated " and " normal " static foot postures identified via the Foot Posture Index-6 (FPI-6). Fifty healthy subjects (25 pronated-PRO, 25 control-CON) volunteered to participate. The PRO group exhibited greater peak hip adduction (group difference = 2.9°, p = 0.022) during single-leg squatting and less rearfoot eversion excursion (group difference = 1.1°, p = 0.021) during gait. No other differences were discovered, and these small group differences are likely functionally irrelevant. These results suggest that a pronated static foot posture does not influence LE biomechanics or gluteal/adductor activity in manners consistent with heightened injury risk. Abstract WILLIAM WYATT LITTLE: A Comparison of Lower Extremity Biomechanics and Muscle Activity between Individuals with Normal and Pronated Static Foot Postures (Under the direction of J.
Average modeling, analysis and simulation of current shared DC-DC converters

A practical, 'user-friendly' methodology is developed to study the behavior of current-shared converters. It applies average modeling, analysis and simulation to examine the static conditions and small-signal stability of converters that operate in average current sharing (ACS) mode. Simple expressions for stability criterion were developed and applied to assess the influence of the number of paralleled modules on the stability and dynamics of the converters system.
EARec: Leveraging Expertise and Authority for Pull-Request Reviewer Recommendation in GitHub

Pull-Request (PR) is a primary way of code contribution from developers to improve quality of software projects in GitHub. For a popular GitHub project, tens of PR are submitted daily, while only a small number of developers, i.e core developers, have the grant to judge whether to merge these changes into the main branches or not. Due to the time-consumption of PR review and the diversity of PR aspects, it is becoming a big challenge for core developers to quickly discover the useful PR. Currently, recommending appropriate reviewers (developers) for incoming PR to quickly collect meaningful comments, is treated as an effective and crowdsourced way to help core developers to make decisions and thus accelerate project development. In this paper, we propose a reviewer recommendation approach (EARec) which simultaneously considers developer expertise and authority. Specifically, we first construct a graph of incoming PR and possible reviewers, and then take advantage of text similarity of PR and social relations of reviewers to find the appropriate reviewers. The experimental analysis on MSR Mining Challenge Dataset\footnote{http://ghtorrent.org/msr14.html} provides good evaluation for our approach in terms of precision and recall.
Research on the Collection Policy of Integrated Supply Chain Based on Remanufacture

Integrated supply chain includes both forwards logistics and backwards logistics, both original manufacture and remanufacture. A well designed integrated supply chain model could close the material cycles and make full use of the materials. In this paper, we proposed a new style that the used goods can be collected by the retailers. Some multi level mathematical programming models are presented to research the collection policy of integrated supply chain. In the multi level programming models, we taking into account not only total profits of the whole supply chain, but also profits of every participant, such as profits of manufacture, retailer, and collector and so on. After solving the model mathematically, we analyzed the optimized resolutions of the programming model. Our conclusion is if the remanufacture ratio of the manufacturer is not very high, the used products should be collected by the retailers. The collection ratio and the sales of retailer are all higher than that of the collector. But if the remanufacture ratio of the manufacturer is rather higher, the used products should be collected by the collectors whose work may be more efficiency.
Post-Sample Prediction Tests for the Efficient Method of Moments

In this paper a post-sample prediction test is derived forestimators based on the Efficient Method of Moments. The mainadvantage of this particular test over other stability tests isthat no time-consuming estimation of the structural parameters forthe post-sample is needed. The asymptotic properties of the testand local power properties against certain alternatives are deduced.Using the Efficient Method of Moments methodology, anapplication is made to stochastic volatility models for theBritish pound versus Canadian dollar exchange rates. The breakpointfor the stability test is a priori set at September 16th 1992,when Britain was forced to leave the European Monetary UnionExchange Rate System.
Verification of the Correlation between Cognitive Function and Lower Limb Muscle Strength for the Community-dwelling Elderly

[Purpose] The purpose of this study was to evaluate the lower limb muscle strength of the community-dwelling elderly, with or without cognitive decline, using isometric knee extension strength (IKES) and the 30-second chair stand test (CS-30). [Subjects] A total of 306 community-dwelling elderly participated in this study. Assessment items were the CS-30, IKES, Mini-Mental State Examination (MMSE), and Trail-Making Test Part A (TMT-A). [Methods] Participants were divided into three groups according to their MMSE score: cognitive impairment (MMSE ≤ 24), cognitive decline (MMSE 25 to 27), and normal (MMSE ≥ 28). We compared IKES and CS-30 among the three groups. [Results] IKES was not significantly different among the three groups. However, the CS-30 was significantly different among the three groups. Upon further analysis the CS-30 score of each group, when adjusted for age and TMT-A, did not indicate a significant difference. [Conclusion] These results suggest that the lower limb muscle strength of the elderly does not differ with cognitive decline. Moreover, we suggest that when using the CS-30 score as an indicator of lower limb muscle strength attentional function should be taken into account.
Evaluation and Quantification of Angiogenesis Activity of Terminalia Bellirica Roxb, by Mice Sponge Implantation Method

Angiogenesis represents an excellent therapeutic target for the treatment of cardiovascular diseases. It is a potent physiological process that underlies the natural manner in which our bodies respond to a diminution of blood supply to vital organs, namely the production of new collateral vessels to overcome the ischemic state. This present study is aimed to evaluate and quantify the Angiogenic potential of Terminalia bellirica Roxb, by in vivo mice sponge implantation assay. Here, gelatin sponge with or without Ethanolic extract of Terminalia bellirica leaf (EETB - 0.3 mg and 0.5 mg, respectively) were subcutaneously injected into Swiss albino mice, and 14 days later, the implanted sponges was excised and histologically examined. The stained section showed that sponge containing EETB had produced more vessels in gels than sponges alone. The new vessels were abundantly filled with intact Red blood corpuscles (RBCs), which indicate the formation of a functional vasculature inside the sponges and blood circulation in newly formed vessels by angiogenesis which is induced by EETB. It also measured that the hemoglobin content inside the sponges: Whereas, hemoglobin in control was nearly 0.3 μg, EETB cases the hemoglobin quantity was markedly enhanced to about 17 μg. Taken together, it demonstrated that Ethanolic extract of Terminalia bellirica leaf exhibited a profound angiogenic activity in vivo. The phytochemical screening and qualitative instrumental analysis of EETB reveals the presence of proteins and Phytosterols. The promising angiogenic potential may be due to the presence of the above chemical constituents. Further study is required to define more precisely the molecular mechanisms by which Ethanolic extract of Terminalia bellirica leaf modulates endothelial cell function and gene expression, as well as the pathological relevance of these findings.
Robust joint frequency offset and channel estimation for OFDM systems

We consider the joint carrier frequency offset (CFO) and channel estimation for OFDM systems. A novel frequency offset estimator is derived based on maximum likelihood principles by using the pilot symbols embedded in each OFDM symbol. An iterative joint CFO and channel estimator is proposed to further reduce the estimation error and improve the system performance. The joint estimator is initialized with the first CFO estimate and linearly interpolated channel estimates. The CFO and channel response estimates are updated by maximum likelihood (ML) and least squares (LS) algorithms. Simulation results show that the proposed joint estimator is effective and can achieve excellent bit error rates in just one iteration.
A fast and accurate multi-cycle soft error rate estimation approach to resilient embedded systems design

In this paper, we propose a very fast and accurate analytical approach to estimate the overall SER and to identify the most vulnerable gates, flip-flops, and paths of a circuit. Using such information, designers can selectively protect the vulnerable parts resulting in lower power and area overheads that are the most important factors in embedded systems. Unlike previous approaches, the proposed approach firstly does not rely on fault injection or fault simulation; secondly it measures the SER for multi cycles of circuit operation; thirdly, the proposed approach accurately computes all three masking factors, namely, logical, electrical, and timing masking; fourthly, the effects of error propagation in re-convergent fanouts are considered in the proposed approach. SERs estimated by the proposed approach for some ISCAS89 circuit benchmarks are compared with that estimated by the Monte Carlo (MC) simulation based fault injection approach. The results show that the proposed approach is about four orders of magnitude faster than the MC fault injection approach while having an accuracy of about 97%. This level of fastness and accuracy makes the proposed approach a viable solution to measure the SER of very large size circuits used in industry.
Role of the chemokine decoy receptor D6 in balancing inflammation, immune activation, and antimicrobial resistance in Mycobacterium tuberculosis infection

D6 is a decoy and scavenger receptor for inflammatory CC chemokines. D6-deficient mice were rapidly killed by intranasal administration of low doses of Mycobacterium tuberculosis. The death of D6−/− mice was associated with a dramatic local and systemic inflammatory response with levels of M. tuberculosis colony-forming units similar to control D6-proficient mice. D6-deficient mice showed an increased numbers of mononuclear cells (macrophages, dendritic cells, and CD4 and CD8 T lymphocytes) infiltrating inflamed tissues and lymph nodes, as well as abnormal increased concentrations of CC chemokines (CCL2, CCL3, CCL4, and CCL5) and proinflammatory cytokines (tumor necrosis factor α, interleukin 1β, and interferon γ) in bronchoalveolar lavage and serum. High levels of inflammatory cytokines in D6−/− infected mice were associated with liver and kidney damage, resulting in both liver and renal failure. Blocking inflammatory CC chemokines with a cocktail of antibodies reversed the inflammatory phenotype of D6−/− mice but led to less controlled growth of M. tuberculosis. Thus, the D6 decoy receptor plays a key role in setting the balance between antimicrobial resistance, immune activation, and inflammation in M. tuberculosis infection.
Sterile Neutrino Fits to Short-Baseline Neutrino Oscillation Measurements

This paper reviews short-baseline oscillation experiments as interpreted within the context of one, two, and three sterile neutrino models associated with additional neutrino mass states in the ~1 eV range. Appearance and disappearance signals and limits are considered. We show that fitting short-baseline datasets to a 3 + 3 (3 + 2) model, defined by three active and three (two) sterile neutrinos, results in an overall goodness of fit of 67% (69%) and good compatibility between data sets—to be compared to a 3 + 1 model with a 55% goodness of fit. While the (3 + 3) fit yields the highest quality overall, it still finds inconsistencies with the MiniBooNE appearance datasets; in particular, the global fit fails to account for the observed MiniBooNE low-energy excess. Given the overall improvement, we recommend using the results of (3 + 2) and (3 + 3) fits, rather than (3 + 1) fits, for future neutrino oscillation phenomenology. These results motivate the pursuit of further short-baseline experiments, such as those reviewed in this paper.
Concern graphs: finding and describing concerns using structural program dependencies

Many maintenance tasks address concerns, or features, that are not well modularized in the source code comprising a system. Existing approaches available to help software developers locate and manage scattered concerns use a representation based on lines of source code, complicating the analysis of the concerns. In this paper, we introduce the concern graph representation that abstracts the implementation details of a concern and makes explicit the relationships between different parts of the concern. The abstraction used in a Concern Graph has been designed to allow an obvious and inexpensive mapping back to the corresponding source code. To investigate the practical tradeoffs related to this approach, we have built the feature exploration and analysis tool (FEAT) that allows a developer to manipulate a concern representation extracted from a Java system, and to analyze the relationships of that concern to the code base. We have used this tool to find and describe concerns related to software change tasks. We have performed case studies to evaluate the feasibility, usability, and scalability of the approach. Our results indicate that concern graphs can be used to document a concern for change, that developers unfamiliar with concern graphs can use them effectively, and that the underlying technology scales to industrial-sized programs.
Holographic Renormalization Group

The holographic renormalization group (RG) is reviewed in a self-contained manner. The holographic RG is based on the idea that the radial coordinate of a space-time with asymptotically AdS geometry can be identified withthe RG flow parameter of boundary field theory. After briefly discussing basic aspects of the AdS/CFT correspondence, we explain how the concept of the holographic RG emerges from this correspondence. We formulate the holographic RG on the basis of the Hamilton-Jacobi equations for bulk systems of gravity and scalar fields, as introduced by de Boer, Verlinde and Verlinde. We then show that the equations can be solved with a derivative expansion by carefully extracting local counterterms from the generating functional of the boundary field theory. The calculational methods used to obtain the Weyl anomaly and scaling dimensions are presented and applied to the RG flow from the N = 4 SYM to an N = 1 superconformal fixed point discovered by Leigh and Strassler. We further discuss the relation between the holographic RG and the noncritical string theory arid show that the structure of the holographic RG should persist beyond the supergravity approximation as a consequence of the renormalizability of the nonlinear σ-model action of noncritical strings As a check, we investigate the holographic RG structure of higher-derivative gravity systems. We show that such systems can also be analyzed based on the Hamilton-Jacobi equations and that the behavior of bulk fields are determined solely by their boundary values. We also point out that higher-derivative gravity systems give rise to new multicritical points in the parameter space of boundary field theories.
Make It or Break It: Manipulating Robustness in Large Networks

The function and performance of networks rely on their robustness, defined as their ability to continue functioning in the face of damage (targeted attacks or random failures) to parts of the network. Prior research has proposed a variety of measures to quantify robustness and various manipulation strategies to alter it. In this paper, our contributions are twofold. First, we critically analyze various robustness measures and identify their strengths and weaknesses. Our analysis suggests natural connectivity, based on the weighted count of loops in a network, to be a reliable measure. Second, we propose the first principled manipulation algorithms that directly optimize this robustness measure, which lead to significant performance improvement over existing, ad-hoc heuristic solutions. Extensive experiments on real-world datasets demonstrate the effectiveness and scalability of our methods against a long list of competitor strategies.