Miracle-dz/UniFAR-FTUs huggingface dataset:
Delay Constrained Routing and Link Capacity Assignment in Virtual Circuit Networks

An essential issue in designing, operating and managing a modern network is to assure end-to-end QoS from users perspective, and in the meantime to optimize a certain average performance objective from the systems perspective. So in the first part of this paper, we address the above issue by using the rerouting approach, where the objective is to minimize the average cross-network packet delay in virtual circuit networks with the consideration of an end-to-end delay constraint (DCR) for each O-D pair. The problem is formulated as a multicommodity network flow problem with integer routing decision variables, where additional end-to-end delay constraints are considered. As the traffic demands increases over time, the rerouting approach may not be applicable, which results in the necessity of capacity augmentation. Henceforth, the second part of this paper is to jointly consider the link capacity assignment and the routing problem (JCR) at the same time where the objective is to minimize the total link installation cost with considering the average and end-to-end delay constraints. Unlike previous research tackling this problem with a two-phase approach, we propose an integrated approach to considering the routing and capacity assignment at the same time. The difficulties of OCR and JCR result from the integrality nature and particularly the nonconvexity property associated with the end-to-end delay constraints. We propose novel Lagrangean relaxation based algorithms to solve the DCR and the JCR problems. Through computational experiments, we show that the proposed algorithms calculate near-optimal solutions for the DCR problem and outperform previous two-phase approach for the JCR problem under all tested cases.
Recognition of asymmetrically dimethylated arginine by TDRD3

Asymmetric dimethylarginine (aDMA) marks are placed on histones and the C-terminal domain (CTD) of RNA Polymerase II (RNAP II) and serve as a signal for recruitment of appropriate transcription and processing factors in coordination with transcription cycle. In contrast to other Tudor domain-containing proteins, Tudor domain-containing protein 3 (TDRD3) associates selectively with the aDMA marks but not with other methylarginine motifs. Here, we report the solution structure of the Tudor domain of TDRD3 bound to the asymmetrically dimethylated CTD. The structure and mutational analysis provide a molecular basis for how TDRD3 recognizes the aDMA mark. The unique aromatic cavity of the TDRD3 Tudor domain with a tyrosine in position 566 creates a selectivity filter for the aDMA residue. Our work contributes to the understanding of substrate selectivity rules of the Tudor aromatic cavity, which is an important structural motif for reading of methylation marks.
Molecular Dynamics simulations on Mare Nostrum

This report presents a benchmark of three programs more commonly used for molecular dynamics simulations, with special emphasis on their behavior in parallel machines like Mare Nostrum. Introduction Molecular dynamics (MD) is a technique first developed in the middle seventies and applied to the protein world in the late nineties. The theoretical basis of MD is anchored in the basic rules of classical mechanics and the works of Newton and Langevin. The objective of MD is to reproduce a time-trajectory of the structure of a molecule, in our case protein. This is done by numerical integration of the equations of motion for a system whose interactions are defined by a simple atomic force-field like that shown in eqs 1-3. A standard MD step starts with the evaluation of the potential energy (eqs 1-3). Analytical derivation of the potential energy leads the forces acting on each atom, which using Newton’s second law provides the acceleration. Integration of the accelerations yields new velocities, whose integration provides the new positions, completing then the integration step. E=Ebonded +Enon− bonded (1) ( ) ( ) ξ iφ + V + ) θ (θ K + ) l (l K = E torsions = i i angles s bonds s bonded − − − ∑ ∑ ∑ ∑ cos 1 2 3
An Approach to Encryption using Superior Mandelbrot and Superior Julia Sets

The voluminous digital data exchange between various computers has introduced large amount of security vulnerabilities. Encryption schemes have been increasingly studied to meet the demand for real-time secure transmission of data over the Internet and through wireless networks. In this paper, we try to study a new cryptographic key exchange protocol based on superior Mandelbrot and Superior Julia sets. In this study we analyze a cryptographic system utilizing fractal theories; this approach uses concept of public key cryptography by taking advantage of the connection of Superior Julia and Superior Mandelbrot sets. This paper exploits the main feature of public key security.
Bayesian Network Structure Learning Using Causality

Bayesian Networks are probabilistic models of data that are useful to answer probabilistic queries. Existing algorithms use either local measures of deviation from independence or global likelihood measures. They are based on probabilistic correlation, so the directionality of the model lacks the causal meaning as we expected. We tackle this problem from a new perspective using causality, which is a more fundamental measure than correlation. Integrating both the global and local views of causal inference, the proposed computationally efficient algorithm learns a high quality Bayesian network without using any score-based searching. Given a partial directed acyclic graph, causal pairs with the highest accuracy are inferred with the fewest number of pair wise causal inferences. Specifically, with discrete data, the χ2 statistical test is used to identify the most dependent and possible causal pairs. Furthermore, the learned causality is forward-propagated. Experiments on handwriting data show that, besides the ability of causal inference, our algorithm performs better than two previous algorithms, one based on branch-and-bound search, and the other a greedy algorithm using χ2 tests and a log-loss function. The learned structure not only has lowest loss in representing the data, but also reveals underlying causal relationships which are useful for scientific discovery.
Approaches for Facilities Layer Protocols for Platooning

This paper describes three approaches for facilities layer protocols for platooning. These imply sharing information within a platoon of vehicles based on communication standards developed within ETSI TC ITS. Two novel ITS facilities layer protocols for platooning are proposed: Minimal and Full Platooning protocols. Standardising such protocols enable vehicles from different OEMs to have a common communication strategy for platooning. The proposed protocols are compared with the current facilities layer protocols: CAM and DENM. Deficiencies of these with respect to platooning are discussed. A discussion on message update rate is also given. Results from a demonstration of platooning with the Minimal protocol compared to CAM/DENM are presented. It is shown that the Minimal protocol gave a lower latency of brake actuation during a hard brake manoeuvre.
Représentations de la justice sociale de la Belgique Francophone

On admet generalement que les normes utilisees par les gens dans le cadre de leurs jugements de justice distributive dependent des ressources a distribuer, ou plus globalement, des « domaines de la vie » qui sont en jeu (Hochschild). Une enquete portant sur un echantillon de huit cent Belges francophones a produit des resultats sensiblement differents. Une analyse factorielle de 21 items portant sur la justice distributive a fait apparaitre une structure en trois dimensions principales. La premiere est liee aux « frontieres » memes de la communaute de justice : qui est inclus et qui en est exclu. Le second facteur oppose les opinions favorables ou opposees a la fonction redistributive de l'Etat-Providence. Enfin, la troisieme dimension semble liee a une conception « sdubsidiaire » de la solidarite. Il est montre dans l'etude que chacune des trois dimensions presentees peut etre reliee a un des clivages ideologiques qui traversent la societe belge. Le second facteur : clivage gauche/droite ; troisieme facteur : clivage clerical/anticlerical ; enfin le premier facteur, moyennant prudence, pourrait s'ajuster a une dimension materialiste/post-materialiste (Inglehart)
N-Terminal Mutant Huntingtin Associates with Mitochondria and Impairs Mitochondrial Trafficking

Huntington's disease (HD) is caused by polyglutamine (polyQ) expansion in huntingtin (htt), a large (350 kDa) protein that localizes predominantly to the cytoplasm. Proteolytic cleavage of mutant htt yields polyQ-containing N-terminal fragments that are prone to misfolding and aggregation. Disease progression in HD transgenic models correlates with age-related accumulation of soluble and aggregated forms of N-terminal mutant htt fragments, suggesting that multiple forms of mutant htt are involved in the selective neurodegeneration in HD. Although mitochondrial dysfunction is implicated in the pathogenesis of HD, it remains unclear which forms of cytoplasmic mutant htt associate with mitochondria to affect their function. Here we demonstrate that specific N-terminal mutant htt fragments associate with mitochondria in Hdh(CAG)150 knock-in mouse brain and that this association increases with age. The interaction between soluble N-terminal mutant htt and mitochondria interferes with the in vitro association of microtubule-based transport proteins with mitochondria. Mutant htt reduces the distribution and transport rate of mitochondria in the processes of cultured neuronal cells. Reduced ATP level was also found in the synaptosomal fraction isolated from Hdh(CAG)150 knock-in mouse brain. These findings suggest that specific N-terminal mutant htt fragments, before the formation of aggregates, can impair mitochondrial function directly and that this interaction may be a novel target for therapeutic strategies in HD.
A comparison of criteria for decision fusion and parameter estimation in statistical multisensor image classification

We study two related topics in decision fusion for multisensor image classification. The first topic is the use of a weighted logarithmic opinion pool compared to the statistical product combination rule. The performance is compared on three data sets. The second topic is related to different criteria for parameter estimation for a statistical fusion model. We propose an alternative criterion for estimation of the mean vector and the covariance matrix of a Gaussian model based on minimizing the number of misclassified training samples and compare the performance of this to the traditional maximum likelihood approach.
Compact and high selectivity dual mode microstrip filter with source-loaded coupling

In this letter, a novel compact and high selectivity microstrip filter with source-loaded coupling is proposed using miniaturized dual-mode resonator. The resonator can generate one odd-mode and one even-mode in the desired band. Two resonant frequencies can be adjusted easily to satisfy the bandwidth of the BPF. A transmission zero is created near the lower cut-off frequency due to the main path signal counteraction. Two additional transmission zeros attributed to source-loaded coupling are generated near the upper cut-off frequency and in the upper-stopband. A dual-mode filter is simulated, fabricated and measured. The EM simulated and measured results are presented and excellent agreement is obtained.
Analysis of adherence to national nosocomial pneumonia treatment guidelines

Background Guidelines for the management of adults with hospital-acquired (HAP), ventilator-associated (VAP), and healthcare-associated (HCAP) pneumonia were recently updated. These evidence-based guidelines emphasize early, appropriate antimicrobials, as well as, de-escalation of initial therapy based upon microbiologic cultures and clinical response of the patient, and to shorten duration of therapy to a minimum effective period. Objective To evaluate adherence to the nosocomial pneumonia guidelines before and after a multifaceted educational intervention in conjunction with the implementation of an adult pneumonia order set. Methods A three phase, retrospective, observational analysis was performed among patients with nosocomial pneumonia in a tertiary care facility. The phases consisted of an analysis of medical charts to identify empiric antimicrobial therapy for patients with nosocomial pneumonia; education of physicians on the guidelines; and repeat review of medical charts of patients with nosocomial pneumonia to observe for guideline adherence. An adult pneumonia order set was introduced to the medical staff prior to the initiation of the observational analysis and provided a modality for prescribers to be most compliant with the current recommendations for treating pneumonia. Order set utilization was tracked throughout the observational analysis to determine if various educational interventions increased compliance. Results Thirty-three patients were evaluated pre-education: 5 transferred, 16 discharged, and 12 died. Thirty-one patients were evaluated post-education: 6 transferred, 21 discharged, and 4 died. The combined sixty-seven patients received two hundred forty-eight orders for forty-four unique antimicrobial agents from five different services. Appropriateness of antimicrobial prescribing, designated by adherence to the clinical practice guidelines, did not improve following an educational intervention. However, the adult pneumonia order set was utilized in forty-eight percent of the post-education group while only being implemented in nine percent of the pre-education group. The prescribing of single or additional antimicrobials, while utilizing the adult pneumonia order set, commonly resulted in overall noncompliance with the consensus guidelines. Conclusion This analysis showed that educational efforts alone were not effective in improving the appropriateness of prescribing empiric antimicrobial therapy in accordance with the guidelines. Prescribing compliance with pre-printed orders, in addition to periodic interactive educational interventions, should be addressed when introducing and maintaining adherence to new clinical practice guidelines.
A high-level user interface for update and retrieval in relational databases—language aspects

A high-level user front-end for the experlmental relatIona database system MEMODAX 1s described It 1s based on the universal relation model, and It allows quering and updatlng a database without any knowledge of Its conceptual structure We survey the maln features of USIL, the Universal Schema-Interface Language for MEMODAX, and show how to retrieve data from a database wlthout loglcal access path speclflcatlon We addltlonally demonstrate how to update the database when the user 1s aware of attributes only We give a descrlptlon of the syntax and parts of the semantics of USIL lndlcatlng that this language 1s getting close to a natural language interface 1 Introduction
Assessment of the Therapeutic Effect of Total Glucosides of Peony for Juvenile Idiopathic Arthritis: A Systematic Review and Meta-Analysis

Juvenile idiopathic arthritis (JIA) is the most common rheumatic disease in children; some clinical trials have reported the effects of total glucosides of peony (TGP) in the treatment of JIA. However, no systematic review has yet been conducted. In this study, we assessed the efficacy and safety in patients with JIA enrolled in randomized controlled trials (RCTs) of TGP. We extracted data for studies searched from 8 electronic databases that were searched and also evaluated the methodological quality of the included studies. We assessed the following outcome measures: overall response rate, pain, tender joint count (TJC), swollen joint count (SJC), duration of morning stiffness (DMS), grip strength (GS), rheumatoid factor (RF), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and adverse effects (AEs) in short term (4–8 weeks), intermediate term (9–26 weeks), and long term (>26 weeks). The final analysis showed that TGP acted as a unique nonbiologic disease-modifying antirheumatic drug (nonbiologic DMARD), and its therapeutic effects were safe and efficacious for the treatment of JIA with few AEs. However, more high-quality RCTs are needed to confirm these therapeutic effects.
Building a Multi-FPGA-based Emulation Framework to Support NoC Design and Verification

In this paper, we present a highly scalable, flexible hardware-based NoC emulation framework, through which NoCs built upon various types of network topologies, routing algorithms, switching protocols, and flow control schemes can be explored, compared, and validated with injected or self-generated traffic from both real-life and synthetic applications. This high degree of scalability and flexibility is achieved due to the FPGA design choices made at both functional and physical levels. At the functional level, an NoC system to be emulated can be partitioned into two parts: (i) the processing cores and (ii) the network. Each part is mapped onto a different FPGA so that when there is any change to be made on any one of these two parts, only the corresponding FPGA needs to be reconfigured and the rest FPGAs will be left untouched. At the physical level, two levels of interconnects are adopted to mimic NoC on-chip communications: high bandwidth and low latency parallel on-board wires, and high speed serial multigigabit transceivers available in FPGAs. The latter is particularly important as it helps the proposed NoC emulation platform scale well with the size increase of the NoCs.
Symbolic execution — An efficient approach for test case generation

In the process of software development, testing is the critical activity which consumes more than 50% of resources and time. A challenging step in software testing process is to generate test cases that will sufficiently test the functionality of the software being developed. A technique commonly used to generate the test cases is through branch coverage. Even though the above technique successfully generates test cases for the input program, there are few limitations during which this technique does not prove to be useful. Especially when an infeasible path is encountered in the program under test, the test cases generated does not reflect the reality. To overcome such situation test cases generation through symbolic execution is proposed in this paper.
Providing More but Receiving Less: Daughters in Intergenerational Exchange in Mainland China

This study investigates the gender pattern of both downstream and upstream transfers between older parents and their children in China. Based on theories about the generation gap in the understandings of family norm and the heterogeneous effects of the social forces that encourage women to contribute more in elder care by generation, the author proposes a gender asymmetrical pattern in which the patrilineal norm governs parents' decisions of downstream transfers but exerts little effect on children's upstream support for parents. Capitalizing on a survey of the population older than 60 years, the author fitted several simultaneous equation models. Empirical results suggest that, all being equal, daughters provide more monetary and housework assistance to older parents than do sons, but daughters are comparatively disadvantaged in the probability of receiving either type of transfer from their parents. The pattern of “providing more but receiving less” for female caregivers affirms the gender asymmetrical pattern.
Facial Expression Classification Using Rotation Slepian-based Moment Invariants

Rotation moment invariants have been of great interest in image processing and pattern recognition. This paper presents a novel kind of rotation moment invariants based on the Slepian functions, which were originally introduced in the method of separation of variables for Helmholtz equations. They were first proposed for time series by Slepian and his coworkers in the 1960s. Recent studies have shown that these functions have an good performance in local approximation compared to other approximation basis. Motivated by the good approximation performance, we construct the Slepian-based moments and derive the rotation invariant. We not only theoretically prove the invariance, but also discuss the experiments on real data. The proposed rotation invariants are robust to noise and yield decent performance in facial expression classification.
2. Genesis: anti-derivationalism................................................................................................. 2

1. Roots: generative and connectionist. 1 2. Genesis: anti-derivationalism. 2 3. Constraint-based theories, with and without anti-derivational background. 3 4. Evolution and status in the field . 4 5. Workings (of classical OT) . 5 6. Trends in OT . 7 7. The nature of constraints . 9 8. Rules vs. constraints. 9 9. Anti-derivationalism among modules: anti-cyclicity. 10 10. Anti-derivationalism within phonological computation: opacity. 10 11. Giving up on the universality of the constraint set. 11 12. Conspiracy, anti-conspiracy and output-orientation . 12 13. Variation, Factorial Typology, overgeneration . 12 14. Computational complexity, competence and performance . 13 15. Representations and computation. 15 16. Inbuilt tendency for scrambling . 16 References . 17
Development and standardization of cognitive ability test for children

The present study investigated, developed & standardized Cognitive Ability Test for children, Age group (7-16). The main objective of the study was to develop test items through Bloom’s taxonomy, Leslie Wilson theory, determining the difficulty, Discrimination Index & Reliability. The purpose of this research project is the identification, measurement and analysis of core cognitive ability factors that determine success in education and occupation. The study was significant because it shall provide standardized ways of comparing the child performance with that other children observed in the same situation in terms of their cognitive ability (Anastasi, 1950). The study was delimited to forty children of age 9-11 years.
Gender classification using Radon and Wavelet Transforms

In this paper a new approach is proposed to recognize gender from the face image. This approach will detect the face from the given image. Radon and Wavelet Transforms are combined to extract key facial features for each face images of male and female. These features will be used to classify the face images of each pattern. We have compared the DCT extracted face feature with our face feature extracted by Radon and Wavelet Transforms. The experimental result shows that the proposed approach (combination of face detector, radon and wavelet transforms, KNN classifier) achieves better performance.
An Advanced Machine Vision System for VFD Inspection

In this paper, we present an advanced machine vision system for VFD inspection. The system includes two procedures— off-line learning and on-line testing. The learning procedure can be either automatic or manual to give user more flexibility to control. A template is generated from the intelligent learning, which includes all features needed by the VFD inspection. The automatic testing procedure loads the template and captures the images of the VFD boards on the manufacturing line, then gives the accurate results quickly. Some machine vision algorithms such as image binarization, image tilt detection, and component detection are described in the paper.