Miracle-dz/UniFAR-FTUs huggingface dataset:
Model predictive control for networked control systems with random data dropouts

In this paper, the model predictive control for the networked control systems is proposed. The problem of data dropouts in the sensor controller link when the controller does not receive new feedback data is treated. As in predictive control design the sequence of future control actions up to a given horizon is calculated at each sampling time, the natural idea is to use not only the first control action, but also other terms of the control sequence, in case the sensor data at next sampling times are not available. From the implementation point of view there are two or more control laws (depending on the number of lost output samples) which are switched arbitrarily fast. A sufficient stability condition for this switched control system is derived using the concept of quadratic stability. The effectiveness of the proposed control strategy is demonstrated by control of a simple laboratory plant.
Adaptive nonsingular terminal sliding mode control for variable speed wind turbine

In recent years wind energy is becoming more popular among other renewable sources due to more advanced technologies. Reduction in the cost of wind energy requires more efficient technology which is able to extract optimum power form the wind. The main focus of this work is to design a new adaptive controller for a variable speed wind turbine (VSWT) for maximizing turbine's energy capture. The generator torque is considered as the control input and it depends on the optimal rotor speed which is derived from the effective wind speed. From aerodynamic torque and rotor speed the effective wind speed is derived by Modified Newton Rapshon (MNR). Initially the conventional sliding mode controller (SMC) is considered. The control performance of SMC is compared with proposed Adaptive Nonsingular Terminal Sliding Mode Control (ANTSMC) for different level of random disturbances and actuator offset. The main advantage of ANTSMC is robustness to input disturbances and parametric uncertainties of the turbine. Both the controllers are tested for a single mass mathematical wind turbine (WT) model and validated through different mean wind speed with various random disturbances and actuator offset. Validation results show that the proposed control strategy is effective in terms of better energy capture and robustness to disturbances.
SnapQueue: lock-free queue with constant time snapshots

We introduce SnapQueues - concurrent, lock-free queues with a linearizable, lock-free global-state transition operation. This transition operation can atomically switch between arbitrary SnapQueue states, and is used by enqueue, dequeue, snapshot and concatenation operations. We show that implementing these operations efficiently depends on the persistent data structure at the core of the SnapQueue. This immutable support data structure is an interchangeable kernel of the SnapQueue, and drives its performance characteristics. The design allows reasoning about concurrent operation running time in a functional way, absent from concurrency considerations. We present a support data structure that enables O(1) queue operations, O(1) snapshot and O(log n) atomic concurrent concatenation. We show that the SnapQueue enqueue operation achieves up to 25% higher performance, while the dequeue operation has performance identical to standard lock-free concurrent queues.
Charge Recycling in Power-Gated CMOS Circuits

The design of a suitable power gating (e.g., multithreshold or super cutoff CMOS) structure is an important and challenging task in sub-90-nm very large scale integration (VLSI) circuits where leakage currents are significant. In designs where the mode transitions are frequent, a significant amount of energy is consumed to turn on or off the power gating structure. It is thus desirable to develop a power gating solution that minimizes the energy consumed during mode transitions. This paper presents such a solution by recycling charge between the virtual power and ground rails immediately after entering the sleep mode and just before wakeup. The proposed method can save up to 43% of the dynamic energy wasted during mode transition while maintaining the wakeup time of the original circuit. It also reduces the peak negative voltage value and the settling time of the ground bounce.
Number : NU-EECS-1504 November , 2015 Towards Application-Level Multi-Homing

Hundreds of millions of users are attracted to many of the thriving Internet applications and services, such as e-mail, online social networking, or video sharing. In an attempt to effectively serve the large number of users, the application providers started deploying their own application-specific network infrastructures. We demonstrate that the significant proliferation of applications and the growth of associated networking infrastructures creates a considerable application-induced diversity in end-to-end performance, measured in terms of the effective throughput. We conduct a large-scale measurement study in an attempt to quantify, understand, and utilize such application-driven network performance diversity. Moreover, we demonstrate that the observed end-to-end performance diversity can be effectively utilized in numerous networking contexts.
Multidrug Resistance Protein 1 Protects the Oropharyngeal Mucosal Layer and the Testicular Tubules against Drug-induced Damage

The multidrug resistance protein 1 (MRP1) gene encodes a transporter protein that helps to protect cells against xenobiotics. Elevated levels of MRP1 in tumor cells can result in active extrusion of a wide range of (anticancer) drugs with different cellular targets, a phenomenon called multidrug resistance (MDR). To explore the protective function of the mouse mrp1 protein during drug treatment, we investigated the toxicity caused by the anticancer drug etoposide-phosphate (ETOPOPHOS) in mice lacking the mrp1 gene (mrp1 −/− mice). We show here that the lack of mrp1 protein results in increased etoposide-induced damage to the mucosa of the oropharyngeal cavity and to the seminiferous tubules of the testis. The high concentrations of mrp1 that we find in the basal layers of the oropharyngeal mucosa and in the basal membrane of the Sertoli cells in the testis apparently protect wild-type mice against this tissue damage. We also find drug-induced polyuria in mrp1 −/− mice, which correlates with the presence of mrp1 protein in the urinary collecting tubules, the major site of kidney water reabsorption. Our results indicate that specific inhibitors of MRP1 used to reverse MDR, in combination with carcinostatic drugs transported by MRP1, might lead to drug-induced mucositis, (temporary) infertility, and diabetes insipidus.
Human Identi cation versus Expression Classi cation via Bagging on Facial Asymmetry

We demonstrate a dual usage of quanti ed facial asymmetry for (1) human identi cation under expression variations and (2) expression classi cation across di erent human subjects. Our experiments show the e ectiveness of using statistical bagging and feature subspace selection BEFORE applying classi ers such as Linear Discriminant Analysis. This preprocessing allows the same type but di erent dimensions of image features to be discriminative for two seemingly con icting classi cation goals. Statistically signi cant improvements are found when facial asymmetry features are combined into classical classi ers.
Male Osteoporosis in the Elderly

Osteoporosis is now recognized as an important public health problem in elderly men as fragility fractures are complicated by increased morbidity, mortality, and social costs. This review comprises an overview of recent findings in pathophysiology, diagnosis, and treatment of male osteoporosis, with particular regard to the old population.
Web-Based Document Classification Using a Trie-Based Index Structure

An automatic document classification system is useful to manage the massive quantities of documents such as the Web document collection. However, its complicated process of classification has become a serious problem when applying it to general services. In this paper, we suggest an efficient data structure for the document classification and develop a classification system based on a trie-based index structure. This efficient data structure reduces overheads for the task of document classification using naive Bayesian probabilistic models and makes it possible to implement commercial applications. In our system, both learning and classification are performed in a Web-based user interface rather than by a remote application, which contributes to achieve easy control of the classification process and the flexibility of diverse document provision.
A REDUNDANCY DETECTION APPROACH TO MINING BIOINFORMATICS DATA

AbstractThis paper is concerned with the search for sequences of DNA bases via the solution of the key equivalence problem. The approach is related to the hardening of soft databases method due to Cohen et al.1 Here, the problem is described in graph theoretic terms. An appropriate optimization model is drawn and solved indirectly. This approach is shown to be effective. Computational results on bioinformatics databases are included.
A mathematical description of natural shapes in our nonlinear world

The work presents two examples of simple mathematical formulas which are natural nonlinear modifications (one being a generalization) of Gielis' formula. These formulas involve a comparable number of parameters and provide non-Platonic representations of a vast diversity of natural shapes and patterns by incorporating diverse aspects of asymmetry and seeming disorder which are absent in the original Gielis' formula. It is also shown how diverse sequences resembling some natural-world pattern evolutions are also generated by such nonlinear formulas.
Conceptualizing the New Governance : A New Institution of Social Coordination

The term governance is widespread in characterizing both global and local arrangements, especially reformed ones. Because of its strong intuitive appeal, precise definitions are seldom thought to be necessary. As a result, when we identify governance as important factor to achieve policy or organizational objectives, it may be unclear whether the reference is to organizational structures, administrative processes, systems of incentives and rules, administrative philosophies. Due to this ambiguity, most of administrative reforms driven by the logic of governance are likely to be rhetoric rather than substantive. This paper attempts to; (i) review various definitions of governance; (ii) discuss the logic of governance; and (iii) clarify the definition of governance, and the New Governance. The conclusions of this paper are: (i) governance can be defined as an 'institution of social coordination'; (ii) the New Governance is an 'institution' of social coordination based on the logic of co-steering and network; and (iii) the logic of the New Governance is identical to that of democratic administration.
Decreased Levels of EGF in Plasma of Children with Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder estimated to affect 1 in 110 children in the U.S., yet the pathology of this disorder is not fully understood. Abnormal levels of several growth factors have been demonstrated in adults with ASD, including epidermal growth factor (EGF) and hepatocyte growth factor (HGF). Both of these growth factors serve important roles in neurodevelopment and immune function. In this study, concentrations of EGF and HGF were assessed in the plasma of 49 children with ASD aged 2–4 years old and 31 typically developing controls of a similar age as part of the Autism Phenome Project (APP). Levels of EGF were significantly reduced in the ASD group compared to typically developing controls (P = 0.003). There were no significant differences in HGF levels in young children with ASD and typically developing controls. EGF plays an important role in regulating neural growth, proliferation, differentiation and migration, and reduced levels of this molecule may negatively impact neurodevelopment in young children with ASD.
Uniqueness Analysis of Non-Unitary Matrix Joint Diagonalization

Matrix Joint Diagonalization (MJD) is a powerful approach for solving the Blind Source Separation (BSS) problem. It relies on the construction of matrices which are diagonalized by the unknown demixing matrix. Their joint diagonalizer serves as a correct estimate of this demixing matrix only if it is uniquely determined. Thus, a critical question is under what conditions is a joint diagonalizer unique. In the present work we fully answer this question about the identifiability of MJD based BSS approaches and provide a general result on uniqueness conditions of matrix joint diagonalization. It unifies all existing results which exploit the concepts of non-circularity, non-stationarity, non-whiteness, and non-Gaussianity. As a corollary, we propose a solution for complex BSS, which can be formulated in closed form in terms of an eigen and a singular value decomposition of two matrices.
Data-aided channel estimation for turbo-PIC MIMO detectors

We consider data-aided channel estimation for multiple input multiple output (MIMO) systems when iterative parallel interference cancellation (PIC) is performed for signal detection. We compare some data-aided channel estimation methods based on expectation maximization (EM) algorithm or on hard estimated transmit symbols. In particular, we propose a modified EM-based approach and show that when few iterations are to be performed, it provides considerable performance improvement.
Cytosol-modulated transport of messenger RNA from isolated nuclei.

Summary The influence of cytoplasmic factors on the energy-dependent release from nuclei of messenger-like RNA in ribonucleoprotein particles (i.e., informosomes) has been investigated in a cell-free system that precludes detectable nuclear lysis. Maximum release of rapidly labeled RNA from the prelabeled nuclei of normal, regenerating, or neoplastic rat liver was observed only when the latter were incubated in autologous cytosol. Comparative studies involving RNA-DNA hybridization and density gradient centrifugation of the presumptive messenger RNA released in autologous and heterologous systems indicated that the RNA transported is both qualitatively and quantitatively dependent not only upon the source of the nuclei but also upon the source of the dialyzed cytosol. The results suggest that the cytosol contains nondialyzable components that act posttranscriptionally to regulate the nuclear processing and/or transport of messenger RNA and further that there are differences in these factors in normal, regenerating, and neoplastic liver.
Moving in temporal graphs with very sparse random availability of edges

In this work we consider temporal graphs, i.e. graphs, each edge of which is assigned a set of discrete time-labels drawn from a set of integers. The labels of an edge indicate the discrete moments in time at which the edge is available. We also consider temporal paths in a temporal graph, i.e. paths whose edges are assigned a strictly increasing sequence of labels. Furthermore, we assume the uniform case (UNI-CASE), in which every edge of a graph is assigned exactly one time label from a set of integers and the time labels assigned to the edges of the graph are chosen randomly and independently, with the selection following the uniform distribution. We call uniform random temporal graphs the graphs that satisfy the UNI-CASE. We begin by deriving the expected number of temporal paths of a given length in the uniform random temporal clique. We define the term temporal distance of two vertices, which is the arrival time, i.e. the time-label of the last edge, of the temporal path that connects those vertices, which has the smallest arrival time amongst all temporal paths that connect those vertices. We then propose two statistical properties of temporal graphs. One is the maximum expected temporal distance which is, as the term indicates, the maximum of all expected temporal distances in the graph. The other one is the temporal diameter which, loosely speaking, is the expectation of the maximum temporal distance in the graph. Since uniform random temporal graphs, except for the clique, have at least a pair of vertices whose temporal distance is infinity, we assume the existence of a slow way to go directly from any vertex to any other vertex in order for the above measures to have a finite value. We derive the maximum expected temporal distance of a uniform random temporal star graph as well as an O( √ nlog 2 n) upper bound, and a greedy algorithm which computes in polynomial time the path that achieves it, on both the maximum expected temporal distance and the temporal diameter of the normalized version of the uniform random temporal clique, in which the largest time-label available equals the number of vertices. Finally, we provide an algorithm that solves an optimization problem on a specific type of temporal (multi)graphs of two vertices.
Evaluation of pipelined hash-join operations on uniform heterogeneous multithreaded architectures

Multi-core and multithreaded processors have reached the mainstream market, and present both opportunities and challenges in the design of query processing algorithms. This paper studies the processing of a pipeline of hash-join operations, building upon prior work that focused on a single operation. It shows that it is necessary to have more threads available in the algorithm than the processor itself can actually run concurrently in order to achieve optimal performance. It also describes a buffer-management scheme that limits cache conflicts among threads. Experimental results show the relative merits of passing pointers to intermediate results versus full materialization. Finally, the paper discusses how to extrapolate from its results to future architectures with a larger number of cores and concurrent threads.
Use of indoor residual spraying for scaling up global malaria control and elimination

Indoor residual spraying (IRS) is one of the primary vector control interventions for reducing and interrupting malaria transmission. In recent years, however, it has received relatively little attention. Recent data reconfirms the efficacy and effectiveness of IRS in malaria control in countries where it was implemented well. Effective implementation of IRS with DDT or other recommended insecticides should be a central part of national malaria control strategies where this intervention is appropriate. It is implemented with the objective of reducing malaria morbidity and mortality and accelerating progress towards global and national malaria targets. However, there are important considerations that must be taken into account when considering whether to introduce or scale up IRS. In particular, there must be sufficient capacity to deliver the intervention effectively, prevent unauthorized and un-recommended use of public health pesticides, and manage insecticide resistance. Intensified research efforts are needed, for example to develop new insecticides, long-acting formulations and improved application technologies. Along with producing IRS manuals and guidelines, the World Health Organization (WHO) will support countries to collect and analyse data, towards determining potential effectiveness and feasibility of IRS in the national context, and with planning and implementing the intervention. WHO requests countries to report on coverage and impact as IRS is implemented or scaled up. This position statement is intended for public health policy makers, malaria control programme managers, development agencies, development banks, academic and research institutions and private sector corporations involved in scaling up malaria control programmes. The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted lines on maps represent approximate border lines for which there may not yet be full agreement. The mention of specific companies or of certain manufacturers' products does not imply that they are endorsed or recommended by the World Health Organization in preference to others of a similar nature that are not mentioned. Errors and omissions excepted, the names of proprietary products are distinguished by initial capital letters. All reasonable precautions have been taken by the World Health Organization to verify the information contained in this publication. However, the published material is being distributed without warranty of any kind, either express or implied. The …
Perceived parental psychological control and school learned helplessness: The role of frustration intolerance as a mediator factor

The present study aims to investigate the relation between perceived parental psychological control, school learned helplessness and mastery orientation, and also to test frustration intolerance as a mediator in the relation between perceived psychological control and school learned helplessness. The sample consisted of 214 (86 male and 128 female) high school students with an age range between 17- and 19- years (M = 18.20; DS = 0.98). Results indicated that maternal psychological control positively predicts frustration intolerance, and that in turn, frustration intolerance positively predicts school learned helplessness. Furthermore, there was a significant indirect effect of frustration intolerance in the link between maternal psychological control and school learned helplessness, pointing to an important mediating role for frustration intolerance. Theoretical and practical implications are discussed.
A finite dimensional realization of the mollifier method for compact operator equations

We introduce and analyze a stable procedure for the approximation of (f , if) where f is the least residual norm solution of the minimal norm of the ill-posed equation Af = g, with compact operator A: X → Y between Hilbert spaces, and φ ∈ X has some smoothness assumption. Our method is based on a finite number of singular values of A and some finite rank operators. Our results are in a more general setting than the one considered by Rieder and Schuster (2000) and Nair and Lal (2003) with special reference to the mollifier method, and it is also applicable under fewer smoothness assumptions on φ.
Discovering Patterns of Collaboration for Recommendation

Collaboration between research scientists, particularly those with diverse backgrounds, is a driver of scientific innovation. However, finding the right collaborator is often an unscientific process that is subject to chance. This paper explores recommending collaborators based on repeating patterns of previous successful collaboration experiences, what we term prototypical collaborations. We investigate a method for discovering such prototypes to use them as a basis to guide the recommendation of new collaborations. To this end, we also examine two methods for matching collaboration seekers to these prototypical collaborations. Our initial studies reveal that though promising, improving collaborations through recommendation is a complex goal.