Miracle-dz/UniFAR-FTUs huggingface dataset:
Toward a Network and Traffic Monitoring and Management Platform for Software Defined Networks (SDN)

BKMON is a software tool designed to provide an independent monitoring solution for SDN network controllers with scalable capabilities. Therefore, it extends monitoring capabilities based on the network controller by providing visual graphs with information on each switch or port of the switch or even on specific traffic flow. Network monitoring helps to avoid interruption and system’s failure during the operational process, thus, physical errors such as cable breaks or network node failures can be detected and fixed quickly. Those examples show how important network monitoring systems are and furthermore, the complexity and extensibility of the current network makes monitoring an extremely difficult task. Finally, the deployment of new technologies, like SDN, in the network makes it even more challenging. BKMON was defined and prototyped in the direction that will partly provide solutions to this scientific and technological challenge.
Technical Note: Double composite steel–concrete bridges

This technical note outlines the concept of double composite action. It summarises the potential advantages of a double composite steel–concrete structure over the more common steel–concrete composite construction, particularly for continuous structures. A comparative study of three bridge forms with and without double composite action is outlined and the reduction in steel tonnage for the double composite type of each form is estimated.
PERFORMANCE ANALYSIS OF PAPR REDUCTION TECHNIQUES IN MULTICARRIER MODULATION SYSTEM

Orthogonal FrequencyDivisionMultiplexing (OFDM) is one of the many multicarrier modulation techniques which provide high spectral efficiency, less vulnerability to echoes,low implementation complexity and resilience to non – linear distortion. It is used in communication systems due to its various advantages. However, while this system is implemented problem of high peak – to – average power ratio(PAPR) is encountered. The reason behind this drawback is the existence of manyindependent subcarriers, due towhichthesignal amplitudecanhavehighpeakvalues as compared to average of whole system. The high PAPR in multicarrier transmission systems causes power degradation and spectrum spreading.Interleaving, Tone Reservation, Peak Reduction Carrier,Block Coding, Active Constellation Extension, Envelope ScalingareamongmanyPAPRreductionschemesthathavebeenproposedas a remedy to thisproblem. In this paper, performances of Amplitude Clipping and Filtering, Selected Level Mapping (SLM), and PartialTransmitSequence (PTS) techniques of PAPR reduction in OFDM systems by parameter variations are analyzed, based on Complementary Cumulative Distribution Function. An attempt has been made to simulate clipping and filtering technique with iterations and the simulation shows that PAPR problem is reduced as number of iterations increases. The attempts have also been made to simulate SLM technique and PTS technique by varying number of phase sequences, number of sub-blocks in SLM, PTS respectively and simulation results shows that by increasing the number of phase sequences, sub-blocks, PAPR can be reduced significantly.The mathematical equations are incorporated here to compute the maximum expected PAPR from an OFDM signal which shows when there is phase alignment of all sub carriers and sub carriers are equally modulated, then signal peak value hits the maximum. Besides these computer simulations, a comparative study of these three techniques is done. Index Terms:Multi-Carrier Modulation(MCM), Orthogonal Frequency Division Multiplexing (OFDM),Peak-To-Average Power Ratio(PAPR),ComplementaryCumulativeDistributionFunction(CCDF), Repeated Clipping and Filtering (RCF), PartialTransmitSequence(PTS), Selected Level Mapping (SLM), Clipping Ratio (CR).
Conference on Nutrition, health and ageing – translating science into practice Symposium two: Anthropometric, lifestyle and dietary concerns in ageing – diagnostic and interventional considerations Parkinson ’ s disease: the nutrition perspective

Parkinson ’ s disease (PD) is the second most common neurodegenerative disease after Alzheimer ’ s disease and affects about 1 % of the population over the age of 60 years in industrialised countries. The aim of this review is to examine nutrition in PD across three domains: dietary intake and the development of PD; whole body metabolism in PD and the effects of PD symptoms and treatment on nutritional status. In most cases, PD is believed to be caused by a combination of genetic and environmental factors and although there has been much research in the area, evidence suggests that poor dietary intake is not a risk factor for the development of PD. The evidence about body weight changes in both the prodromal and symptomatic phases of PD is inconclusive and is confounded by many factors. Malnutrition in PD has been documented as has sarcopaenia, although the prevalence of the latter remains uncertain due to a lack of consensus in the de ﬁ nition of sarcopaenia. PD symptoms, including those which are gastrointestinal and non-gastrointestinal, are known to adversely affect nutritional status. Similarly, PD treatments can cause nausea, vomiting and constipation, all of which can adversely affect nutritional status. Given that the prevalence of PD will increase as the population ages, it is important to understand the interplay between PD, comorbidities and nutritional status. Further research may contribute to the development of interventional strategies to improve symptoms, augment care and importantly, enhance the quality of life for patients living with this complex neurodegenerative disease.
Analysis of 4th-order LCLC resonant power converters

A methodology is presented for the high-speed, steady state analysis of 4/sup th/-order LCLC resonant power converters. Both current-output and voltage-output variants are considered. State-variable dynamic descriptions of the circuits are derived and subsequently employed to rapidly determine the steady-state cyclic behaviour and the voltage and current characteristics of the resonant-tank and output-filter, and to estimate the voltage and current stresses on resonant components. Simulated and experimental results for two prototype 4/sup th/-order converters (inductive and capacitive output variants) confirm that the accuracy of the model is comparable with SPICE simulations, while requiring less than 10/sup -4/ of the computational time.
Natural Products as Protective Agents for Male Fertility

The male reproductive system is highly susceptible to noxious influences, such as oxidative stress, inflammation, drugs, and even diseases that can induce germ cell damage and alterations in spermatogenesis. All of these factors, which are caused by actions at the testicular level and/or at the excurrent ducts and accessory glands, significantly affect sperm parameters and male fertility. For this reason, it is of major importance to investigate possible ways to protect the male reproductive system since males are exposed to these toxic factors constantly. For centuries, natural products have been used by humans in folk medicine as therapeutic agents, and because of their beneficial properties for human health, plenty of them have been introduced to the pharmaceutical market as supplementary therapies. The present review aims to compile available information regarding different natural exogenous factors that demonstrate potential useful activity in the male reproductive system. The studies presented here reopen the perspective of using natural products as protective agents and eventually as new supplementary therapeutic options for the recovery of hampered spermatogenesis and/or male infertility.
A Compact Model of Ballistic CNFET for Circuit Simulation

With the advent of carbon nanotube technology, evaluating circuit and system performance using these devices is becoming extremely important. In this letter, we propose a quasi-analytical device model for intrinsic ballistic CNFET, which can be used in any conventional circuit simulator like SPICE. The closed form expressions for I-V and C-V characteristics are obtained based on the physical device model. This quasi-analytical model is seen to be effective in a wide variety of CNFET structures as well as for a wide range of operating conditions in the digital circuit application domain.
A Study of Cellular Neural Networks with Vertex-Edge Topological Descriptors

: The Cellular Neural Network (CNN) has various parallel processing applications, image processing, non-linear processing, geometric maps, high-speed computations. It is an analog paradigm, consists of an array of cells that are interconnected locally. Cells can be arranged in different configu-rations. Each cell has an input, a state, and an output. The cellular neural network allows cells to communicate with the neighbor cells only. It can be represented graphically; cells will represent by vertices and their inter-connections will represent by edges. In chemical graph theory, topological descriptors are used to study graph structure and their biological activities. It is a single value that characterizes the whole graph. In this article, the vertex-edge topological descriptors have been calculated for cellular neural network. Results can be used for cellular neural network of any size. This will enhance the applications of cellular neural network in image processing, solving partial differential equations, analyzing 3D surfaces, sensory-motor organs, and modeling biological vision. maps representations, high-speed computations, partial differential equations, analyzing 3D surfaces, sensory-motor organs, and modeling biological vision.
La modélisation par équations structurelles -- Un guide d'accompagnement pour l'interface R

Abstract La modélisation par équations structurelles avec MPlus (Caron, 2019) est un ouvrage de référence qui, divisé en trois parties, aborde les fonctions de base de Mplus (Partie 1 – Les rudiments), le traitement de données avec Mplus (Partie 2 – Traitement de données), ainsi que l’exécution d’un ensemble d’analyses statistiques impliquant de la modélisation par équations structurelles en utilisant Mplus (Partie 3 – Les analyses). Reconnaissant l’utilisation croissante de la modélisation par équations structurelles dans le domaine des sciences sociales, ainsi que le nombre limité de ressources éducatives disponibles à ce sujet, nous proposons un guide d’accompagnement pour la troisième partie du livre de Caron (2019), qui étendra son application à l’interface de programmation R. R est une interface de programmation libre d’accès et très versatile qui, similairement à Mplus, permet la réalisation d’analyses statistiques impliquant de la modélisation par équations structurelles. L’objectif de cet article est de présenter la traduction en langage de programmation R des syntaxes de la troisième partie du livre de Caron (2019) ainsi que les résultats des sorties associées. Puisque cet article vise à servir de guide complémentaire au livre de Caron (2019), les bases théoriques sous-tendant les analyses statistiques qui y sont couvertes ainsi que l’interprétation des résultats issus de celles-ci ne font pas l’objet du présent article. Cet article couvre les analyses suivantes : la régression logistique, l’analyse de trajectoire, l’analyse factorielle exploratoire et confirmatoire, la médiation, la modération, la médiation modérée, l’analyse de classes latentes, l’analyse de modèles autorégressifs et autorégressifs croisés, l’analyse de trajectoire latente, et l’analyse de groupes multiples.
Dynamic incidence of wind turbines in networks with high wind penetration

Wind generation is a source of energy that has a growing importance in some countries. Due to the nondispatchable nature of wind power, under low load and high wind penetration conditions, dangerous situations could be reached. As this level of penetration has not yet come in most countries, new studies need to be performed in order to ascertain a secure dynamic operation. Recent technology tends to easy controllable, variable speed devices that seem to have a better influence than fixed speed devices on power system dynamics. Particularly, doubly fed induction generators have a growing importance in wind technology in Spain. In this paper, an overview of modelling requirements of these systems is presented, together with the influence of grid and windmills parameters on transient stability. A comparison between the behaviour of fixed speed and doubly fed induction generation in Spanish future situation shows the advantages of these variable speed devices.
Self Consciousness and Clothing Purchase Criteria of Korean and United States College Women

Relationships between criteria individuals use in the purchase of clothing and the individual trait of public and private self-consciousness were examined and compared between two cultural groups (United States and Korean). Eighty-two females from one U.S. college and 92 females from two Korean colleges participated in the study by completing a questionnaire which explored the importance of criteria used in the purchase of clothing, private and public self-consciousness, and demographic characteristics. Significant relationships between the trait of public self-consciousness and the importance of fashion and attractiveness as clothing purchase criteria were found for both cultural groups. A significant interaction effect was found between self-consciousness and cultural group for the importance of brand name as a clothing purchase criterion. Individual and cultural differences in consumer decision making process are discussed
Enhance photovoltaic/thermal system performance by using nanofluid.

The operating temperature of the PV system greatly affect the system efficiency. To resolve this problem, cooling techniques are used to dissipate the heat from PV/T module. An experimental has been setup to investigate the thermal efficiency of the PV/T module using nanofluid at constant mass flow rate. AL2O3-water nanofluid is used to reduce the operating temperature of PV/T panel. The results indicated that the temperature of the PV/T module was 79.1°C and a conversion efficiency is about 8% without using AL2O3-water. On the otherhand, using nanofluid at concentration ratio of 0.3% at constant mass flow rate of 0.2L/s, the temperature is dropped to 42.2°C at the same test condition(irradiation 1000W/m2 and 24 minute test time),This led to increasing in the efficiency of solar panel to 12.1%. The heat was extracted from the PV/T module by using cooling system with nanofluid that can contribute to the overall energy output of the system.
Comparação entre LSTM e CLCNN na detecção de requisições maliciosas em ataques na web

Com o uso de aplicações web em ambientes dinâmicos de computação em nuvem integrados com dispositivos IoT, os ataques de injeção de SQL e de XSS (Cross-Site Scripting) continuam causando problemas para a segurança. A detecção de requisições maliciosas a nível de aplicação representa um desafio na pesquisa, que está evoluindo usando técnicas de Machine Learning e redes neurais. Este trabalho apresenta a comparação entre duas arquiteturas de aprendizado de máquina usadas para detectar requisições web maliciosas: LSTM (Long Short-Term Memory) e CLCNN (Character-level Convolutional Neural Network). Os resultados demonstram que a CLCNN é a mais eficaz em todas as métricas, com uma acurácia de 98,13%, precisão de 99,84%, taxa de detecção em 95,66% e com um F1-score de 97,70%.
Machine Learning Based Intrusion Detection for IoT Botnet

In this article, we analyzed botnet traffic in an IoT environment using three machine learning classifiers: Logistic Regression, Support-Vector Machine and Random Forest. We classified each attack in each botnet for nine devices. We calculated the Accuracy, True Positive, False Positive, False Negative, True Negative, Precision, Recall, F1 score for each algorithm. We obtained impressive results (above 99%) using these three classifiers. We have a high attack detection rate. A brief analysis of the results is presented.
An Electrically Programmable with Variable Capacitance Weight Factors CCD Transversal Filter

A prototype of a CCD programmable transversal filter is described. The tap weights have been implemented by on-chip voltagecontrolled variable MOS capacitors. The summation of the wei~ted tap signals uses a chsrge-sensing technique. The performmce of the filter has been demonstrated by suitable measurements indicating a nonlinear distortion below –45 dB.
Finite-time dynamic event-triggered consensus of multi-agent systems with disturbances via integral sliding mode

In this paper, the finite-time consensus problem of multi-agent systems with disturbances is investigated. For the first time, the dynamic event-triggered mechanism is combined with the sliding mode control algorithm to develop a novel finite-time consensus control law. The finite-time consensus of multi-agent systems can be achieved with this control protocol in spite of system disturbances. Different from the asymptotic convergence under the dynamic triggering mechanism, by introducing dynamic parameters, the new triggering mechanism can ensure the finite-time consensus of the system states. The new dynamic triggering mechanism can extend the interevent time interval to avoid Zeno behaviour. Finally, the effectiveness of the proposed scheme is validated by simulation examples.
Reconfigurable Pattern Patch Antenna for Mid-Band 5G: A Review

New requirements in communication technologies make it imperative to rehash conventional features such as reconfigurable antennas to adapt with the future adaptability advancements. This paper presents a comprehensive review of reconfigurable antennas, specifically in terms of radiation patterns for adaptation in the upcoming Fifth Generation (5G) New Radio frequency bands. They represent the key of antenna technology for materializing a high rate transmission, increased spectral and energy efficiency, reduced interference, and improved the beam steering and beam shaping, thereby land a great promise for planar antennas to boost the mid-band 5G. This review begins with an overview of the underlying principals in reconfiguring radiation patterns, followed by the presentations of the implemented innovative antenna topologies to suit particular advanced features. The various adaptation techniques of radiation pattern reconfigurable planar antennas and the understanding of its antenna design approaches has been investigated for its radiation pattern enhancement. A variety of design configurations have also been critically studied for their compatibilities to be operated in the midband communication systems. The review provides new insights on pattern reconfigurable antenna where such antennas are categorized as beam steering antenna and beam shaping antennas where the operation modes and purposes are clearly investigated. The review also revealed that for mid-band 5G communication, the commonly used electronic switching such as PIN diodes have sufficient isolation loss to provide the required beam performance.
Guidance, Navigation and Control technologies and facilities to support future lunar exploration missions

International space agencies have a growing interest to bring humans and robotic space vehicles back to the Moon and to support permanent manned and unmanned space exploration missions to the Moon and to other celestial bodies of the solar system. Along the critical path to achieve this goal, advanced guidance, navigation, and control technologies are required to guarantee spacecraft safety and accuracy when orbiting and landing on the Moon. Future lunar exploration missions will aim at safely and accurately landing a spacecraft close to impact craters or nearby other geological features of scientific interest. To successfully achieve these objectives, the spacecraft must have the ability to autonomously or semi-autonomously perform critical landing operations. These operations include GPS-like localization of spacecraft using lunar landmark tracking, trajectory guidance toward known targets on the surface, detection of surface hazards, and guidance toward safe landing areas. Such technologies are clearly.
Default mode and frontal executive network interactions enable interoceptive attention & mindfulness

Interoceptive attention to internal sensory signals is fundamental to mindfulness. In an attention-to-breathing task in 161 adults, we found that consistency of interoceptive attention significantly correlated with performance efficiency across several exteroceptive cognitive domain tasks. EEG source mapping within subjects showed that on low-consistency or distracted trials there was greater recruitment of frontal executive control activity in the dorsolateral prefrontal cortex (DLPFC) and suppression of the posterior default mode network (Precuneus), with increased functional connectivity between these regions. In contrast, high-consistency or attentive trials were associated with greater connectivity between Anterior Cingulate Cortex (ACC) and Insula, key nodes of the cognitive control network for attention monitoring. Notably, individual trait mindfulness was correlated with greater functional connectivity between DLPFC-Precuneus on distracted trials and greater ACC-Insula connectivity on attentive trials. These results showcase dynamic network interactions underlying objective markers of interoceptive attention and subjective rating mindfulness.
Salicylic acid and thiourea ameliorate the negative impact of salt stress in wheat (Triticum aestivum L.) seedlings by up-regulating photosynthetic pigments, leaf water status, and antioxidant defense system

Salinity is one of the most important abiotic stress inhibiting wheat (Triticum aestivum L.) growth and development. Therefore, finding efficient strategies to prevent salt-induced growth retardation and yield loss is critical for modern agriculture to sustain production. The role of exogenous salicylic acid (SA) and thiourea (TU) in regulating salt tolerance was investigated by evaluating morpho-physiological characteristics and antioxidant response in two wheat genotypes at the seedling stage. In both wheat genotypes, salt stress reduced growth characteristics and leaf water status, photosynthetic pigments, while simultaneously increasing the Na+/K+ ratio, hydrogen peroxide (H2O2), and malondialdehyde (MDA). In contrast, exogenous application of SA and/or TU alone in the salt-stressed plants significantly reduced the negative effects of salt stress and improved the growth performance by up-regulating photosynthetic pigments, leaf water status, and proline content in both genotypes. Besides, when compared to seedlings treated only with salt stress, SA and TU played an important role in maintaining lower Na+/K+ levels and reducing oxidative stress by lowering MDA and H2O2 levels in salt-stressed plants through boosting the activities of antioxidant enzymes such as catalase, ascorbate peroxidase, and peroxidase. In addition, hierarchical clustering and principal component analysis revealed a significant interaction among growth characteristics, chlorophyll content, carotenoid content and antioxidant activity with the salt, SA, and/or TU treatments. The findings suggested that exogenous application of SA or TU could be a useful technique for reducing the negative effects of salinity on wheat growth and development.