Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust Malware Classification via Deep Graph Networks on Call Graph Topologies

We propose a malware classiﬁcation system that is shown to be robust to some common intra-procedural obfuscation techniques. In-deed, by training the Contextual Graph Markov Model on the call graph representation of a program, we classify it using only topological information, which is unaﬀected by such obfuscations. In particular, we show that the structure of the call graph is suﬃcient to achieve good accuracy on a multi-class classiﬁcation benchmark.
A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler‐Turbine Systems

Optimal control theory and reinforcement learning are gradually being used in the field of industrial control. In this article, a new optimal tracking control scheme for 160 MW boiler‐turbine systems is proposed based on an online policy iteration integral reinforcement learning (IRL) method. Firstly, a self‐learning state tracking control with a cost function is developed to deal with the optimal tracking control problems for the boiler‐turbine nonlinear system. Then with a modified cost function, a policy iteration‐based IRL method is introduced to obtain the optimal control law. Finally, the monotonicity and the convergence of the cost function is analyzed and the detailed implementation of the policy iteration‐based IRL method is provided via neural networks. The simulation results show that the control of the boiler‐turbine system can converge in a short time by using this online iterative method. Through a theoretical simulation case, it can be concluded that the proposed method is more advanced compared with the MPC method.
Synergistic inhibition of platelet function by NADPH oxidase inhibitors and clopidogrel

Previous studies have shown platelets play an important role in prothrombotic complications due to several factors such as hyperglycemia, oxidative stress, and hypercholesterolemia, which affected platelets reactivity. Platelets activation involves ADP stimulation via P2Y12 receptor, whereas reactive oxygen species (ROS) including superoxide anion and hydrogen peroxide (H2O2) produced by NADPH oxidase (Nox) act as the second messenger, which involved in platelets activation and may contribute to thrombus formation. The aim of the present study was to investigate the influence of Nox on the purinergic receptor (P2Y12 receptor) in activation of human platelets function stimulated by platelets agonist. This research explored the effects of Nox inhibitors and clopidogrel either alone or in combination, on various agonist-stimulated human platelets, including platelets aggregation and adhesion measured by modified LTA, expression of platelets activation markers, and calcium mobilization using flow cytometry, and ROS formation, NADPH oxidase activity, as well as cAMP levels by chemiluminescence assay. Taken together, findings from these experiments suggest that the combination of clopidogrel and Nox inhibitors synergistically reduced platelets aggregation, platelets adhesion, and expression of platelets activation marker during late activation, ROS formation, NADPH oxidase activity, calcium mobilization and increased cAMP levels in vitro. This combination showed that P2Y12receptor reactivity was influenced by the activation of NADPH oxidase. Thus, these data demonstrated a potential combination therapy to reduce the risk of thrombosis formation.
How the Solid/Liquid Ratio Affects the Cation Exchange Process and Porosity in the Case of Dioctahedral Smectite: Structural Analysis?

The performance of a clay mineral geomembrane used in the context of a geological barrier for industrial and radioactive waste confinement must pass through the understanding of its hydrous response as well as the limits of the cation exchange process which are closely related to the solid/liquid ratio constraint. The Na-rich montmorillonite is used, as starting material, to evaluate the link between the applied external constraint (variable solid/liquid ratio) and the structural response of the material. The geochemical constraint is realized at the laboratory scale, and the possible effects are investigated in the cases of Ba2+ and Ni2+ heavy metal cations. The structural analysis is achieved using the XRD profile modeling approach to quantify the interlayer space (IS) deformation. The quantitative XRD analysis, which consists of the comparison of experimental 001 reflections with the calculated ones deduced from structural models, allowed us to determine the optimal structural parameters describing IS configuration along the c ∗ axis. The obtained result showed an interstratified hydration character, for both studied exchangeable cations, regardless of the solid/liquid ratio being described probably by a partial cation exchange process. The theoretical mixed layer structure (MLS) suggests the coexistence of more one cristallite species saturated by more than one exchangeable cations, indicating a partial saturation of all exchangeable sites. The optimum structural parameter values, from the theoretical model, allowed us to follow the evolution of several intrinsic properties versus the applied constraint strength. The variable solid/liquid ratio effect on the material porosity is examined by the BET-specific surface area and BJH pore size distribution (PSD) analyses. The adsorption measurement outcomes confirm XRD results concerning mainly the link between several intrinsic clay properties and the constraint strength.
Genetic Algorithm for Optimization of Infrastructure Investment Under Time‐Resource Constraints

Abstract: This work shows the infrastructure investment decision is essentially a 0‐1, nonlinear, multiobjective knapsack problem. It argues that, without making substantial simplification on some of the practical considerations, a conventional mathematical optimization approach may not be suitable for solving the problem. Further, the use of explicit heuristics may sometimes be unwieldy dependent on the system parameters. An innovative approach based on the concept of genetic algorithms is proposed in the work to tackle the nonlinearity in the decision problem. Based on the experimental results, the proposed approach is capable of producing good quality results. The key success feature of the proposed approach resides in the unique and innovative modeling of system parameters by genetic coding in the algorithms.
Thrust Generation Caused by Flapping Airfoils in a Biplane Configuration

Unsteady, viscous e ows over e apping airfoils in a biplane cone guration are computed on moving overset grids. The overset grid solutions are obtained in parallel in a distributed memory environment. Unsteady e owe elds are described by particle traces. Time-averaged thrust values are obtained from the integration of the unsteady drag coefe cient. It isshown thatairfoilsin abiplanecone guration andoscillatingina combinedpitchand plungemotion with a proper phase shift between them produce 20 ‐40% more thrust than a single e apping airfoil. Turbulence in the e ow further augments the thrust generation. For a maximum thrust at a given e apping frequency, an optimization of the e apping motion parameters is needed.
Does the rapid initiation of antiretroviral therapy at HIV diagnosis impact virological response in a real-life setting? A single-centre experience in Northern Italy

ABSTRACT Rapid initiation of antiretroviral therapy (ART) has been proven efficacious and safe, but more investigations are needed to define feasibility of rapid ART approach in real-life settings.We conducted a retrospective, observational study on newly HIVdiagnosed patients referred to our Infectious Diseases Department from September 1st, 2015, to July 31st, 2019. According to the timing of ART initiation, we distinguished 3 groups of patients (rapid, intermediate and late group) and represented the trend of virological response during a 400-days-period. The hazard ratios of each predictor on viral suppression were estimated through the Cox proportional hazard model.The median time from HIV diagnosis to the first medical referral was 15 days and the median time from the first care access to therapy start was 24 days. Among patients, 37.6% started ART within 7 days, 20.6% between 8 and 30 days, and 41.8% after 30 days. Longer time to ART start and higher baseline viral load were associated with a lower probability of viral suppression. After one year, all groups showed a high viral suppression rate (99%). In a high-income setting the rapid ART approach seems useful to accelerate viral suppression which is great over time regardless of ART initiation timing.
Adaptations to Windowlessness

This research examines the use of visual material to decorate windowed and windowless offices. Three hypotheses were tested: (1) Occupants of windowless offices should put up more visual materials than do occupants of windowed offices to compensate for the stimulus deprivation; (2) visual materials in windowless offices should consist of more "surrogate views" (e.g., landscapes and cityscapes) than the visual materials in windowed offices where real views are present; and (3) visual decor in windowless offices should be dominated by materials with a nature content. A detailed content analysis of wall decor used in 75 offices on the University of Washington campus was conducted. Results show that occupants of windowless space used twice as many (195 versus 82) visual materials to decorate their offices. Further, materials in windowless offices were dominated by nature themes as predicted in hypothesis 3. Although windowless occupants did not use significantly more "surrogate views" overall than did occupants of windowed spaces, content of the surrogate views was significantly different for the two windowed conditions. People in windowless offices used more landscapes and fewer cityscapes than did occupants of windowed spaces.
Design and Implementation in Project Based Case Learning System for Education in Software Engineering

Online Teaching is growing popular and popular and many universities and organizations offer online teaching courses, such as Coursera, Edx and udacity. Case based teaching as a new approach to construct knowledge hierarchy and it uses 'trigger' cases to stimulate interest in a particular area of the curriculum so it always has a better effect than ordinary method. Based on this situation, the main aim of this paper is to design a web-based case learning system for courses in software engineering. The system allows students play as different roles and study different types of cases in the software engineering field. Thus compared with common teaching method, this system can stimulate students’ interest and enhance students' understanding of software engineering.
Centrifugal Rotor Tri-Hub Burst For Containment System Validation

The following paper outlines a methodology for accurately predicting the burst of a centrifugal rotor, for the purpose of certifying the tri-hub containment capability of an Auxiliary Power Unit gas turbine engine. The tri hub burst is achieved by introducing three equally spaced slots into a centrifugal rotor. Using 2D and 3D finite element analysis, the slot geometry was optimized to ensure burst of the centrifugal rotor at the desired speed, through spin pit testing, and to account for thermal and centrifugal growth for operation in an engine with proper tip clearances. In order to validate the versatility of this methodology, two centrifugal rotor geometries with different material properties (Ti6Al4V and Ti6Al2Sn4Zr6Mo) and operating conditions were analyzed. The analytical predictions were confirmed with isothermal spit pit tests using temperatures that approximate the bulk average temperature in the high stressed bore for an un-slotted centrifugal rotor. The results of spin pit tests were found to be within 0.4% of predicted values. Burst tests were subsequently conducted on a gas generator rig and a full engine test, where results were found to be within 2% of predicted values.Copyright © 2006 by ASME
The implications of inflammatory markers and lactic acid in elderly patients with depression

THE IMPLICATIONS OF INFLAMMATORY MARKERS AND LACTIC ACID IN ELDERLY PATIENTS WITH DEPRESSION (Abstract): Depression can be defined as the nos-ological entity that includes both mood swings and psychotic symptoms, accompanied by emotional changes and a significant decrease in cognitive and psychomotor functions. The hypothesis of membrane theories of depression and its pathophysiology is based on the ex-istence of a change in the structure and physiology of the cell membrane regarding receivers and loci for different substances. Tissue lesions are present in the cerebral atherosclerotic process with manifestations in the arterial endothelium whose dysfunction occurs as a result of a chronic inflammatory process caused by the atherosclerotic plaque. Material and methods: The study took place between January and June 2015 at the 5 th Medical Clinic of the “CFR” Clinical Hospital in Iași, Romania. The study was conducted on 98 patients divided into two groups according to cardiovascular disease and the presence of depression and cognitive deficit . The objective of the study is the evaluation of depression and anxiety in correlation with the inflammatory profile in patients with cardiovascular disease. Results: Statistical analysis of intergroup differences for inflammatory markers, lactic acid and markers of subclinical atherosclerosis revealed that there are statistically significant differences between the average of said parameters between the two study groups. Conclusions: In the control group (patients with only cardiovascular disease) there were statistically significant correlations between the inflammatory markers, subclinical atherosclerosis, lactic acid and the assessment of depression and cognitive deficit.
Research into the 3d roughness of a rough surface

Abstract One of the most important parameters in determination of the deformation associated with roughness is its height on the surface. The authors study the density of probability distribution as related to the surface peak height (SPH) and estimate the mathematical expectation (ME) of SPH for the roughness values above a determined deformation level. In the contact theory, the surface is modelled as a normal random field described by the Nayak SPH formula. Since this formula is practically inapplicable in the engineering tasks, the authors propose to replace it by a simpler distribution law. For this purpose the former is compared with two other formulas obeying the most known probability distribution laws: of normal distribution (Gauss’) law and Rayleigh’s law. Comparison of these three formulas made it possible to derive a simpler yet sufficiently precise one. In the work, the numerical values of the density of SPH probability distribution and the relevant ME values at different deformation levels for all three formulas. Kopsavilk ums Lai noteiktu negludumu deformāciju, viens no būtiskākajiem parametriem ir virsmas negludumu augstums. Šajā rakstā apskatītas un salīdzinātas trīs dažādas formulas virsmas izciļņu augstuma varbūtību sadalījuma blīvuma aprēķināšanai un virsmas izciļņu augstuma matemātiskās sagaidāmās vērtības noteikšanai tiem nelīdzenumiem, kas atrodas virs nosacīta deformācijas līmeņa γ. Kontaktteorijā virsma tiek modelēta kā normāls gadījuma lauks. Šādam normālajam gadījuma laukam izciļņu augstuma varbūtību sadalījuma blīvuma likumu ir ieguvis P.R. Naijaks, taču šī izteiksme ir praktiski nepiemērojama inženieruzdevumu risināšanai, tāpēc šajā darbā ir noskaidrots, ka esošo formulu ir iespējams aizstāt ar vienkāršāku sadalījuma likumu. Ir apskatīta P.R. Naijaka formula un divi pazīstamākie varbūtību sadalījuma likumi: normālais sadalījuma (Gausa) likums un Releja likums. Salīdzinot šīs trīs formulas, ir atrasts vienkāršāks, bet pietiekami precīzs risinājums, ar ko aizstāt sarežģīto formulu. Darbā ir iespējams uzskatāmi redzēt, grafiski attēlotās, iegūtās virsmas izciļņu augstuma varbūtību sadalījuma blīvuma skaitliskās vērtības un virsmas izciļņu augstuma matemātiskās sagaidāmās vērtības pie dažādām γ vērtībām, visām trijām formulām, kā arī tabulā ir apkopotas iepriekšminēto varbūtību sadalījuma likumu maksimālās novirzes no precīzās formulas.
Synthesis of Combline and Capacitively Loaded Interdigital Bandpass Filters of Arbitrary Bandwidth

Synthesis procedures are presented for commensurate linelength combline and capacitively loaded interdigital filters. A simple modification for using lumped capacitors is given and is found to yield excellent results for any practical bandwidth. The synthesis procedures for both filter types follow directly from the classical bandpass filter design approach using a transformed frequency variable. Two design examples are given to illustrate the design procedures and experimental results are presented for a 40 percent bandwidth combline filter. The problems of network sensitivity, use of network equivalents, and extension to other filter types are also discussed.
Parametric Study of a Supercritical CO2 Power Cycle for Waste Heat Recovery with Variation in Cold Temperature and Heat Source Temperature

The supercritical carbon dioxide (S-CO2) power cycle is a promising development for waste heat recovery (WHR) due to its high efficiency despite its simplicity and compactness compared with a steam bottoming cycle. A simple recuperated S-CO2 power cycle cannot fully utilize the waste heat due to the trade-off between the heat recovery and thermal efficiency of the cycle. A split cycle in which the working fluid is preheated by the recuperator and the heat source separately can be used to maximize the power output from a given waste heat source. In this study, the operating conditions of split S-CO2 power cycles for waste heat recovery from a gas turbine and an engine were studied to accommodate the temperature variation of the heat sink and the waste heat source. The results show that it is vital to increase the low pressure of the cycle along with a corresponding increase in the cooling temperature to maintain the low-compression work near the critical point. The net power decreases by 6 to 9% for every 5 °C rise in the cooling temperature from 20 to 50 °C due to the decrease in heat recovery and thermal efficiency of the cycle. The effect of the heat-source temperature on the optimal low-pressure side was negligible, and the optimal high pressure of the cycle increased with an increase in the heat-source temperature. As the heat-source temperature increased in steps of 50 °C from 300 to 400 °C, the system efficiency increased by approximately 2% (absolute efficiency), and the net power significantly increased by 30 to 40%.
ADAPTIVE THRESHOLD FOR DROPLET SPOT ANALYSIS USING WATER-SENSITIVE PAPER

A methodology has been developed for coverage measurement in agricultural sprayers using water-sensitive paper and image analysis processing. The model is based on an adaptive threshold applied to 8-bit gray-scale images scanned at 2400 dpi. A collection of 22 samples with different coverage levels were selected and relationships were sought between threshold and statistical image histogram parameters such as mean, mode, and median of gray levels. In addition, the samples were digitized with CAD software, and true droplet spot area was measured. Linear-regression analysis showed that the descriptive statistics that best correlated to threshold corresponded to the mean gray level with an adjusted R2 of 0.91, and the mean relative error was 5.15% in the coverage measurement. This methodology can reduce operator subjectivity and automate the process of analyzing samples of water-sensitive papers using any image analysis software.
BENEFITS OF LEAN MANAGEMENT: RESULTS FROM SOME INDUSTRIAL CASES IN PORTUGAL

This paper documents a set of Industrial Lean projects over a decade timespan in the North of Portugal, which were conducted by final year students of the Integrated Master Course on Industrial Management and Engineering (IME) in partnership with the Department of Production and Systems of University of Minho. The study analyses a total of forty one such projects and reveals a clear growth in the number of Lean projects, and gives some evidence of Lean awareness and importance to companies. The lean tools used were listed and the most frequently applied tools spotted. Resulting benefits to companies were documented and quantification of such benefits endorsed. Results from 2010 indicate a strong growth in the ratio of quantification of benefits, but the remaining data does not clearly support such trend.
Image Restoration by Lifting‐Based Wavelet Domain E‐Median Filter

In this paper, we propose a method of applying a lifting‐based wavelet domain e‐median filter (LBWDEMF) for image restoration. LBWDEMF helps in reducing the number of computations. An e‐median filter is a type of modified median filter that processes each pixel of the output of a standard median filter in a binary manner, keeping the output of the median filter unchanged or replacing it with the original pixel value. Binary decision‐making is controlled by comparing the absolute difference of the median filter output and the original image to a preset threshold. In addition, the advantage of LBWDEMF is that probabilities of encountering root images are spread over sub‐band images, and therefore the e‐median filter is unlikely to encounter root images at an early stage of iterations and generates a better result as iteration increases. The proposed method transforms an image into the wavelet domain using lifting‐based wavelet filters, then applies an e‐median filter in the wavelet domain, transforms the result into the spatial domain, and finally goes through one spatial domain e‐median filter to produce the final restored image. Moreover, in order to validate the effectiveness of the proposed method we compare the result obtained using the proposed method to those using a spatial domain median filter (SDMF), spatial domain e‐median filter (SDEMF), and wavelet thresholding method. Experimental results show that the proposed method is superior to SDMF, SDEMF, and wavelet thresholding in terms of image restoration.
Analisis Perkiraan TDOA menggunakan Algoritma LMS Adaptif pada Pelacakan Paus Lodan

Research on TDOA estimation in sperm whale tracking has been done [1] that uses the Teager - Kaiser operator in improving accuracy the TDOA estimation using adaptive LMS algorithm on sperm whale tracking. However, further researches on the right convergence factor (μ) (fast and accurate) in TDOA estimation using adaptive LMS algorithms for sperm whale tracking have not been performed. W ill be analyzed the TDOA estimation using adaptive LMS algorithm in sperm whale tracking with the variation of μ. A s a reference to determine the right value of μ, the results of sperm whale tracking[2] is used. TDOA estimation using Adaptive LMS algorithm was first published by Benesty [3]. The approach taken is based on estimation of the impulse responses from source to receivers. In the adaptive LMS algorithm function updates the coefficient with μ as adaptation step. TDOA values obtained from the difference between the two impulse responses. From the results , value s changing of μ affect the speed of TDOA estimation using the LMS adaptive algorithm. However, the wrong value of μ is lead to inaccurate sperm whale tracking results. T he best value of μ for TDOA estimation using the LMS adaptive algorithm for sperm whale tracking is 0.01.