Miracle-dz/UniFAR-FTUs huggingface dataset:
The calculation of frequency source requirements for digital communications systems

Frequency sources, such as oscillators and synthesizers, are critical to the proper operation of digital communications systems. Frequency sources are used as local oscillators (LO) in RF systems, data clocks in all systems, and sampling clocks in digitally implemented systems. Frequency sources affect critical communications system parameters such as acquisition, loss of lock, and bit error rate (BER) performance. The issues for the first two items are well known to the time and frequency community - those of synchronization, syntonization, and cycle slipping. This paper focuses on item three, how frequency source parameters affect BER performance. The paper is tutorial in nature, rather than an exhaustive treatment, and is meant for those familiar with time and frequency theory but not digital communications theory. A quadrature phase shift keyed (QPSK) RF communication system is for illustrative examples, but the methods outlined in this paper are generally applicable to all types of digital communications systems.
Correlation between liver and plasma fatty acid profile of phospholipids and triglycerides in rats

: Considering the changes in the fatty acid profile of liver lipids related to age, gender and nutritional status or occurring in pathological situations, this study aimed at investigating whether such changes could be judged from measurements conducted in plasma lipids. The fatty acid profile of both liver and plasma phospholipids and triglycerides was measured in 16 control animals and 26 rats depleted in long-chain polyunsaturated (n-3) fatty acids. Within each group of rats, significant correlations prevailed between the percentage of each fatty acid in liver versus plasma phospholipids or triglycerides. However, the plasma/liver ratio for the relative content of C20:5(n-3), C22:5(n-3) and C22:6(n-3) in triglycerides displayed abnormally high values in 2 control animals. The fatty acid profile of liver phospholipids and triglycerides can, as a rule, be judged from measurements made in the corresponding plasma lipids. For instance, measurements in plasma phospholipids could help to identify subjects deficient in (n-3) fatty acids and to assess the dietary correction of this defect.
Using Neighbor Diversity to Detect Fraudsters in Online Auctions

Online auctions attract not only legitimate businesses trying to sell their products but also fraudsters wishing to commit fraudulent transactions. Consequently, fraudster detection is crucial to ensure the continued success of online auctions. This paper proposes an approach to detect fraudsters based on the concept of neighbor diversity. The neighbor diversity of an auction account quantifies the diversity of all traders that have transactions with this account. Based on four different features of each trader (i.e., the number of received ratings, the number of cancelled transactions, k-core, and the joined date), four measurements of neighbor diversity are proposed to discern fraudsters from legitimate traders. An experiment is conducted using data gathered from a real world auction website. The results show that, although the use of neighbor diversity on k-core or on the joined date shows little or no improvement in detecting fraudsters, both the neighbor diversity on the number of received ratings and the neighbor diversity on the number of cancelled transactions improve classification accuracy, compared to the state-of-the-art methods that use k-core and center weight.
Supersymmetry: The Final Countdown

There is hope that the Large Hadron Collider (LHC) at CERN will tell us about the fate of supersymmetry at the TeVscale. Therefore we might try to identify our expectations for the discovery of SUSY, especially in the first years of operation of this machine. In this talk we shall concentrate on the simplest SUSY scheme: the MSSM with SUSY broken in a hidden sector mediated by interactions of gravitational strength (gravity-, modulus and mirage-mediation). Such a situation might be favoured in a large class of string inspired models. There is a good chance to identify such simple schemes by knowing the properties of the gaugino mass spectrum such as the gluino/neutralino mass ratios.
Distributed problem solving by memetic networks: extended abstract

This paper illustrates the use of a novel class of population-based optimization algorithms namely \textsl{Memetic Networks}. These algorithms make use of an underlying network to structure information flow between multiple individuals representing points in the search space. Memetic Networks have as a fundamental characteristic the possibility to aggregate several solutions in order to compose new ones. Network properties allow to control how information is spread among the population. We apply these algorithms to several real-valued benchmark optimization problems and the TSP and report results from extensive simulations. We show how some network properties can influence the algorithm's performance and illustrate the effectiveness of this new class of algorithms.
Comparative study of name disambiguation problem using a scalable blocking-based framework

In this paper, we consider the problem of ambiguous author names in bibliographic citations, and comparatively study alternative approaches to identify and correct such name variants (e.g., "Vannevar Bush" and "V. Vush"). Our study is based on a scalable two-step framework, where step 1 is to substantially reduce the number of candidates via blocking, and step 2 is to measure the distance of two names via coauthor information. Combining four blocking methods and seven distance measures on four data sets, we present extensive experimental results, and identify combinations that are scalable and effective to disambiguate author names in citations
Regularized singular value decomposition in news recommendation system

Singular Value Decomposition was widely used in recommendation system because of the Netflix Prize competition. The method decomposed the user item rating matrix into two matrix with low rank. In order to avoid overfitting the observed user item ratings. It used ℓ2 regularization method to regularize the learned parameters by penalizing their magnitudes. It can solve the problem of sparsity and reduce the dimension of user item rating matrix. It obtain good result using the Root Mean Square Error (RMSE) as evaluation index. But the method cost a lot of time. In this paper, we proposed ℓ1 regularization method and combine ℓ1 and ℓ2 regularization method to regularize the learned parameters of SVD. ℓ1 regularization method show great superiority in the problem of sparsity. Experimental results on XMU News data set and Movie lens data set demonstrate the efficiency and effectiveness of the proposed model. ℓ1 regularization method can represent the users' and items' implicit relation with fewer feature. Combining ℓ1 and ℓ2 regularization method perform well on the RMSE and costing time.
The Impact of Pain Assessment on Critically Ill Patients' Outcomes: A Systematic Review

In critically ill patients, pain is a major problem. Efficient pain management depends on a systematic, comprehensive assessment of pain. We aimed to review and synthesize current evidence on the impact of a systematic approach to pain assessment on critically ill patients' outcomes. A systematic review of published studies (CINAHL, PUBMED, SCOPUS, EMBASE, and COCHRANE databases) with predetermined eligibility criteria was undertaken. Methodological quality was assessed by the EPHPP quality assessment tool. A total of 10 eligible studies were identified. Due to big heterogeneity, quantitative synthesis was not feasible. Most studies indicated the frequency, duration of pain assessment, and types of pain assessment tools. Methodological quality assessment yielded “strong” ratings for 5/10 and “weak” ratings for 3/10 studies. Implementation of systematic approaches to pain assessment appears to associate with more frequent documented reports of pain and more efficient decisions for pain management. There was evidence of favorable effects on pain intensity, duration of mechanical ventilation, length of ICU stay, mortality, adverse events, and complications. This systematic review demonstrates a link between systematic pain assessment and outcome in critical illness. However, the current level of evidence is insufficient to draw firm conclusions. More high quality randomized clinical studies are needed.
Anxiety Determinants of Populist Attitudes among Young People

In 2015, so-called double (i.e., presidential and parliamentary) elections were held in Poland. Th e unquestionable winner of these elections was Law and Justice [Prawo i Sprawiedliwość], using slogans such as “good change” or “we’ll make it” in the campaign. The leitmotif of this campaign was discrediting any activities, including achievements, of the Civic Platform [Platforma Obywatelska] / Polish Peasant Party [Polskie Stronnictwo Ludowe] coalition, addressing a “simple man” or the nation, and pointing out the need to involve the state institutions to implement the “good change” in favor of the “simple man”. Th us, Law and Justice adopted the anti-elitist position, pointing to the “pathologies of democracy in Poland”, mainly caused by the rule of the Liberals. Initiating the populist style of thinking was one of the reasons for the party’s success. Th is was an interesting research problem for us, especially that Law and Justice gained the trust of many young voters, aged 18–24. — ABSTRAKT —
Force transmission analysis of spherical 5R parallel manipulators

Being as the counterparts of serial robots, parallel manipulators are good at force transmission but not only dexterous manipulation. In this study, a generalized frame-free transmission index is first proposed. Based on the frame-free index, the force transmission performance analysis of spherical 5R parallel manipulators is presented. By giving a specified and significative value, the index can be used to identify a good-transmission workspace (GTW), where the parallel manipulator not only is good at force transmission but also is far away from its singularity. We expect that the proposed index could be applied to the analysis and kinematic optimal design of not only the spherical 5R parallel manipulators but also other fully parallel manipulators.
Endowing a Virtual Character with Personalization Capabilities

This paper describes a virtual character placed in an educational environment with the purpose of motivating and involving students in the activities proposed. The character can communicate with users in natural-language; it can learn students' profiles and use this knowledge to recommend appropriate contents and activities. Three main elements compose the character's architecture: an AIML-based mechanism, which endows the character with its communication abilities; a profile management system, which collects and organizes students information; and a recommender system, which uses the student's profiles and behavioral patterns to make content recommendations. The character was placed in an educational environment and used in an experiment with 53 computer science students. The results of the experiment are presented here, as well as conclusions and directions for future work
Reduced Admissions for Acute Myocardial Infarction Associated with a Public Smoking Ban: Matched Controlled Study

There has been no research linking implementation of a public smoking ban and reduced incidence of acute myocardial infarction (AMI) among nonsmoking patients. An ex post facto matched control group study was conducted to determine whether there was a change in hospital admissions for AMI among nonsmoking patients after a public smoking ban was implemented in Monroe County compared with Delaware County, Indiana without such a ban. Poisson analysis was conducted for 44 months of hospital admissions. A significant drop occurred in the number of admissions among nonsmoking patients in Monroe County after the ban whereas a non-significant decrease in the number of admissions occurred in Delaware County. The changes in the number of smoking-patient admissions before and after the ban were not significant.
Hybrid Pruning Algorithm

In this paper we develop a new post-pruning algorithm. This new pruning algorithm uses two or more post-pruning algorithms to prune a decision tree that has been built on training set by different orders, and the “best” tree is selected based either on separate test set accuracy or cross-validations from trees coming from result of the above step. The algorithm is theoretically based on occam's razor that is a simpler model is chosen if two models have the same performance on the training set. An experiment is implemented on three databases in UCI machine learning repository and the new algorithm is employed to compares with two well-known post-pruning algorithms. The results show that the hybrid pruning algorithm effectively reduces the complexity of decision trees without sacrificing accuracy.
Elevated Cytosolic Na+ Increases Mitochondrial Formation of Reactive Oxygen Species in Failing Cardiac Myocytes

Background— Oxidative stress is causally linked to the progression of heart failure, and mitochondria are critical sources of reactive oxygen species in failing myocardium. We previously observed that in heart failure, elevated cytosolic Na+ ([Na+]i) reduces mitochondrial Ca2+ ([Ca2+]m) by accelerating Ca2+ efflux via the mitochondrial Na+/Ca2+ exchanger. Because the regeneration of antioxidative enzymes requires NADPH, which is indirectly regenerated by the Krebs cycle, and Krebs cycle dehydrogenases are activated by [Ca2+]m, we speculated that in failing myocytes, elevated [Na+]i promotes oxidative stress. Methods and Results— We used a patch-clamp–based approach to simultaneously monitor cytosolic and mitochondrial Ca2+ and, alternatively, mitochondrial H2O2 together with NAD(P)H in guinea pig cardiac myocytes. Cells were depolarized in a voltage-clamp mode (3 Hz), and a transition of workload was induced by &bgr;-adrenergic stimulation. During this transition, NAD(P)H initially oxidized but recovered when [Ca2+]m increased. The transient oxidation of NAD(P)H was closely associated with an increase in mitochondrial H2O2 formation. This reactive oxygen species formation was potentiated when mitochondrial Ca2+ uptake was blocked (by Ru360) or Ca2+ efflux was accelerated (by elevation of [Na+]i). In failing myocytes, H2O2 formation was increased, which was prevented by reducing mitochondrial Ca2+ efflux via the mitochondrial Na+/Ca2+ exchanger. Conclusions— Besides matching energy supply and demand, mitochondrial Ca2+ uptake critically regulates mitochondrial reactive oxygen species production. In heart failure, elevated [Na+]i promotes reactive oxygen species formation by reducing mitochondrial Ca2+ uptake. This novel mechanism, by which defects in ion homeostasis induce oxidative stress, represents a potential drug target to reduce reactive oxygen species production in the failing heart.
Pragmatics and Discourse in Knowledge Graphs

Knowledge graphs (KGs) are fast becoming the cornerstone of research for storing and retrieving information effectively due to their ability to link heterogeneous data, make inferences, and discover new knowledge without additional human input. Researchers use a plethora of KGs like NELL, DBPedia, YAGO to augment their information extraction activities. However, in such diverse and expressive graphs, the access to knowledge that matches user’s needs is not always obvious— i.e., user intent does not necessarily get translated into the query interpretation which can frustrate the user. In this work, we present a discourse enabled framework on a large scale KG as a means to start an investigation into modeling user intent for query processing. We present a data aware query reformulation strategy with a faceted interface to enable discourse that helps users to specify their needs in an intuitive manner.
Receding horizon control of tumor growth based on optimal control

Receding horizon control (RH) is a powerful and well known technique used to embed feedback in the solution of a dynamic optimization problem. In most published approaches, RH control is associated to model predictive control and amounts to minimize a cost defined over an horizon that slides in time. The optimization is done with respect to a sequence of candidate values for the manipulated variable, of which only the first is used. When considering nonlinear control problems, if the candidate sequence of the manipulated variables is left free of any constraint related to the plant dynamics (apart from operational constraints), there is the danger that the numerical method used converges to a local minimum. In this paper, instead, the minimization is performed using a relaxation algorithm that approximates the solution of Pontryagin's optimality conditions. This approach has the advantage of shaping the solution using the state and adjoint equations and, in addition, provides a natural approach to continuous RH problems. This algorithm is applied here to design therapies for tumor growth, modeled by the Gompertz model. A comparison of quadratic costs with costs that lead to sparse control signals, i. e. that are zero instead of assuming a small value, is also done.
STUDI EMPIRIS AUDITOR SATUAN PENGAWASAN INTERNAL PERGURUAN TINGGI NEGERI DI SERANG: PENGARUH PENGALAMAN KERJA, KOMPETENSI AUDITOR INTERNAL, INDEPENDENSI TERHADAP DUE PROFESSIONAL CARE DAN IMPLIKASINYA DALAM KUALITAS AUDIT INTERNAL

The purpose of this study is to determine the effect of work experience, internal auditor competence, independence with due professional care and its implications in the quality of internal audit at Internal Auditors State University in Serang . The Analysis of the study was conducted using SEM with smart PLS software (Partial Least Square). The results of this study indicate that (1) the internal auditor's competence variable has a significant positive effect on the due professional care, (2) the independence variable has a significant positive effect on the due professional care, (3) the professional variables have a significant positive effect on the quality of internal audit , (4) the internal auditor's competence variable has a significant positive effect on the quality of internal audit, (5) the variable of independence has a significant positive effect on the quality of internal audit, and (6) the variable of work experience has a significant positive effect on the quality of internal audit.
Methods for Solving Gas Damping Problems in Perforated Microstructures Using a 2D Finite-Element Solver

We present a straightforward method to solve gas damping problems for perforated structures in two dimensions (2D) utilising a Perforation Profile Reynolds (PPR) solver. The PPR equation is an extended Reynolds equation that includes additional terms modelling the leakage flow through the perforations, and variable diffusivity and compressibility profiles. The solution method consists of two phases: 1) determination of the specific admittance profile and relative diffusivity (and relative compressibility) profiles due to the perforation, and 2) solution of the PPR equation with a FEM solver in 2D. Rarefied gas corrections in the slip-flow region are also included. Analytic profiles for circular and square holes with slip conditions are presented in the paper. To verify the method, square perforated dampers with 16–64 holes were simulated with a three-dimensional (3D) Navier-Stokes solver, a homogenised extended Reynolds solver, and a 2D PPR solver. Cases for both translational (in normal to the surfaces) and torsional motion were simulated. The presented method extends the region of accurate simulation of perforated structures to cases where the homogenisation method is inaccurate and the full 3D Navier-Stokes simulation is too time-consuming.
Generation of Correlated Spike Trains

Neuronal spike trains display correlations at diverse timescales throughout the nervous system. The functional significance of these correlations is largely unknown, and computational investigations can help us understand their role. In order to generate correlated spike trains with given statistics, several case-specific methods have been described in the litterature. This letter presents two general methods to generate sets of spike trains with given firing rates and pairwise correlation functions, along with efficient simulation algorithms.
Link Prediction Based on Multi-steps Resource Allocation

Link prediction is a fundamental problem in social network analysis. The key technique in link prediction is to find an appropriate similarity measure between nodes of a network. Generally, external information besides the network topology is considered in many similarity measures. However, these external information is generally not available or not true. Usage of these external information may result an improper suggestion. Can we just use the information of the network topology to predict the miss links in the network? In this paper, firstly, we discussed the performance of 10 similarity indices, which only use network topology, on seven real networks. Secondly, for improving Resource Allocation index, which only used the common neighbors to calculate the resource of destination nodes gotten from source node, we proposed a new similarity measure called Multi-Steps Resource Allocation (MSRA). In MSRA, we used the information of multi-steps neighbors to transmit the resource from one node to another node. 2 steps neighbors, 3 steps neighbors and 4 steps neighbors are considered in this paper to be a balance in the performance and the computational complexity. Finally, to exhibit the power of MSRA in link prediction, we compare 10 various link prediction methods over 7 networks. The results show that our newly proposed MSRA measures outperform those ten measures on most datasets.
MAGNETOPHORESIS OF TAGGED POLYMERS

We present quantitative results for the drift velocity of a polymer in a gel if a force (e.g. through an electric or magnetic field) acts on a tag, attached to one of its ends. This is done by introducing a modification of the Rubinstein-Duke model for electrophoresis of DNA. We analyze this modified model with exact and Monte Carlo calculations. Tagged magnetophoresis does not show band collapse, a phenomenon that limits the applicability of traditional electrophoresis to short polymers.
Perioperative Pain Control in Pediatric Patients Undergoing Orthopaedic Surgery

&NA; Management of perioperative pain is critical in the pediatric patient undergoing orthopaedic surgery. A variety of modalities can be used to manage pain and optimize recovery and patient satisfaction, including nonopioid and opioid analgesia; local anesthetic injection; and regional analgesia such as intrathecal morphine, epidural therapy, and peripheral nerve blocks. Acute pain management can be tailored based on the needs of the patient, the surgical site, and the anticipated level of postoperative pain. A preoperative discussion of the plan for perioperative pain control with the patient, his or her parents, and the anesthesiologist can help manage expectations and maximize patient satisfaction.
High-order wavelets for hierarchical refinement in inverse rendering

It is common to use factored representation of visibility, lighting and BRDF in inverse rendering. Current techniques use Haar wavelets to calculate these triple product integrals efficiently [Ng et al. 2004]. Haar wavelets are an ideal basis for the piecewise constant visibility function, but suboptimal for the smoother lighting and material functions. How can we leverage compact high-order wavelet bases to improve efficiency, memory consumption and accuracy of an inverse rendering algorithm? If triple product integrals can be efficiently calculated for higher-order wavelets, the reduction in coefficients will reduce the number of calculations, therefore improving performance and memory usage. Some BRDFs can be stored five times more compactly.