Miracle-dz/UniFAR-FTUs huggingface dataset:
Leveraging Multiplexing Gain in Network Slice Bundles

In this paper, we propose strategies and develop solutions for a network service provider (NSP) to cost-effectively provision and manage a large number of network slices. Specifically, we propose a novel framework, namely, network slice bundling, in which (1) an NSP can allocate resources and create multiple network slice bundles in advance, (2) a network slice request can be quickly instantiated in the bundle that supports its service requirements, and (3) network slices in the same bundle can share the resources and achieve a multiplexing gain by leveraging the stochastic behaviors of resource usage. Within this framework, we focus on a core problem, which is how to leverage the multiplexing gain to maximize the utility by optimally assigning multiple network slices to a set of pre-defined bundles. We formulate an optimization problem and theoretically analyze the irregularity of constraints and the difficulty of the problem. We develop a novel reinforcement learning (RL) based slice assignment solution. Finally, we conduct extensive data-driven simulation experiments. The numerical results confirm that the proposed solution can efficiently solve the network slice assignment problem and achieve significantly higher utility than the best baseline algorithm.
Pseudoatom expansions of the first‐row diatomic hydride electron densities

Representations of high-quality molecular electron densities are studied. An evaluation of restricted radial functions is made using a least-squares figure of merit, the molecular dipole and quadrupole moments, the electric fields at the nuclei, the electric-field gradients at the nuclei, an approximate energy and difference-density maps. For the heavy atom, a satisfactory representation has a fixed core function with a variable population and requires optimized dipolar core polarization functions, and an additional monopole term. The heavy-atom valence regions, and the H require expansions to at least the quadrupole level, with one Slater-type radial function per multipole and all exponents optimized. Additional valence radial functions and higher multipoles are required to give completely satisfactory difference-density maps but do not consistently improve the physical properties.
Highly efficient epoxidation of olefins with hydrogen peroxide oxidant using modified silver polyoxometalate catalysts

The catalytic epoxidation of olefins is an important reaction in chemical industry since epoxides are versatile and important intermediates in the synthesis of fine chemicals and pharmaceuticals. The current epoxidation procedures often use stoichiometric organic and sometimes toxic inorganic oxidants that are less favourable from an environmental and economical point of view. In contrast to such processes, catalytic epoxidation processes employing H2O2 oxidant are preferred for green processing. Herein is reported a highly efficient green process for the epoxidation of olefins using H2O2 oxidant and modified silver polyoxometalate catalysts at 65°C. The preparation and activity of the catalysts are described. The method enjoys >90% conversion and ≥99% selectivity to the epoxide for a variety of cyclic and linear olefins including terminal ones. The catalysts are easily recovered by filtration and are reusable several times. Key words: Epoxidation, olefins, hydrogen peroxide, polyoxometalate, silver catalysts.
Surface and electrokinetic potentials of interfaces containing two types of ionising group

A general treatment is presented of the variation of the “wall” potential ψ0 with pH for an interface which derives its surface charge from the ionisation of two separate types (e.g., amino and carboxyl) of ionisable surface group. Simple forms of the derived equation are obtained under limiting conditions. The results are compared and contrasted with a published model which considers a single type of ionisable surface site. The present model gives a satisfactory description of electrokinetic measurements on a polyamide dispersion.
Morphological and Histochemical Characterization of Callus from Leaf Explant of Tagetes lucida Cav. (Asteraceae)

This is the first attempt to characterized callus of Tagetes lucida that has been successfully induced using leaf as explant and MS with NAA (3ppm) and KI (0.5ppm) as culture medium. Morphological examinations revealed that callus cells have no definite shape and size and mostly transparent with slight yellowish to greenish appearance. Viability test showed that all cells examined are alive which indicates the capacity of the cells to proliferate or differentiate. Alkaloids and terpenes are present in the callus of T. lucida based on the results of histochemical analysis. Qualitative detection of these compounds can be used for future quantitative analysis using this plant. Thus, callus cultures of this species can be one of the sources of these compounds for various purposes.
Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data

Human intelligence has always been a fascinating subject for scientists. Since the inception of Spearman’s general intelligence in the early 1900s, there has been significant progress towards characterizing different aspects of intelligence and its relationship with structural and functional features of the brain. In recent years, the invention of sophisticated brain imaging devices using Diffusion-Weighted Imaging (DWI) and functional Magnetic Resonance Imaging (fMRI) has allowed researchers to test hypotheses about neural correlates of intelligence in humans.This review summarizes recent findings on the associations of human intelligence with neuroimaging data. To this end, first, we review the literature that has related brain morphometry to intelligence. Next, we elaborate on the applications of DWI and restingstate fMRI on the investigation of intelligence. Then, we provide a survey of literature that has used multimodal DWI-fMRI to shed light on intelligence. Finally, we discuss the state-of-the-art of individualized prediction of intelligence from neuroimaging data and point out future strategies. Future studies hold promising outcomes for machine learning-based predictive frameworks using neuroimaging features to estimate human intelligence.
Fashion Android Application using Augmented Reality

Though we are in 21st century with lots of development in the field of technology and improved phases of using applications within the reach of our finger tips, the urge towards a novel and better technology for a life of ease ne'er comes to cease. One such new technology is augmented reality. This is an application where customers can shop online in the smartest way by trying on different accessories like hats, sunglasses, necklaces etc just using our mobile camera. This application gives a user-friendly frontal image of face with no/light makeup and short/bound hair. The Beauty experts system will not only suggest the user suitable makeup and coiffure, it even shows the synthetic effects.
Franck-Condon Factors to High Vibrational Quantum Numbers II: SiO, MgO, SrO, AlO, VO, NO

Franck-Condon factor arrays have been computed numerically to high vibrational quantum numbers for the band systems of the following diatomic oxides of interest in astrophysics and atmospheric physics SiO: (A1Π–X1Σ+) MgO: (B1Σ–A1Π) MgO: (B1Σ–X1Σ) SrO: (A1Σ–X1Σ) AlO: (A2Σ+–X2Σ+) VO: (A2Δ–X2Δ) NOβ: (B2Π –X2Π) NOγ: (A2Σ+–X2Π)
A Procedure for Estimation of Lateral Spreading Displacement Using Results of Probabilistic Seismic Hazard Assessment

Empirical and semi-empirical regression models are widely used to estimate liquefaction-induced lateral spreading displacements. These models were developed from case histories with the seismic hazard defined in a deterministic fashion. A difficulty arises when using these models with results from a probabilistic seismic hazard assessment (PSHA) which are made up of contributions from a range of magnitude and distance combinations. There is little guidance on the selection of appropriate values of magnitude and distance from a PSHA for use in these models, and the commonly used mean or modal values may result in misrepresentation of lateral spreading displacements and do not provide information regarding the probability of exceedance of the estimated values. This paper introduces an approach to estimate the annual probability of exceedance of significant lateral spreading displacements (i.e. ≥ 0.3 m) using conventional PSHA output. The ground displacement threshold of 0.3 m was selected based on the review of a published database and is considered as a potential threshold to separate inconsequential and consequential ground displacements to some important structures including buried steel pipes and highways. Suggestions are also provided for application of this approach for displacement values other than 0.3 m. RÉSUMÉ Des modèles de régression empiriques et semi-empiriques sont largement utilisés pour estimer les déplacements latéraux induits par liquéfaction. Ces modèles ont été développés à partir d’histoires de cas pour lesquels l'aléa sismique est défini de façon déterministe. Lors de l'utilisation de ces modèles, un problème se présente lorsque les résultats d'une évaluation probabiliste de l'aléa sismique (PSHA) sont constitués d’un ensemble de combinaisons de magnitudes et de distances. Peu de recommandations sont disponibles pour aider à sélectionner des valeurs appropriées de magnitude et de distance à partir d'un PSHA et les valeurs moyennes ou médianes couramment utilisées peuvent entraîner une mauvaise évaluation des déplacements latéraux ou de la probabilité de dépassement des valeurs estimées. Cet article présente une approche pour estimer la probabilité annuelle de déplacements latéraux significatifs (supérieurs à 0,3 m) basée sur les résultats d’une PSHA conventionnelle. Le seuil de déplacement latéral de 0,3 m a été choisi en fonction de l'étude d'une base de données publique et est considéré comme une valeur seuil de déplacement latéral pour séparer les déplacements significatifs des non-significatifs pour des ouvrages importants tels que les tuyaux d’acier souterrains et les autoroutes. Des recommandations sont formulées sur la façon de mettre cette approche en pratique pour des valeurs de déplacements latéraux autres que 0,3 m.
Local Demand, Urbanization and Amazonian Metropolitan Regions Impacts on Deforestation of the Brazilian Amazon

The paper estimates how much of the amazon deforestation is due to the consumption of goods and services from households who live within the amazon region itself, comparing it to deforestation driven by consumers who live outside amazon. As the Brazilian Amazon contains 5 big metropolitan regions, and in order to take into account this referred urbanization process, it not only compare the effects of demand from within and outside Brazilian Amazon, but also with the isolated effects from consumption of households who live within the metropolitan areas of Brazilian Amazon from the consumption of families who live within Amazon, but outside those metropolitan regions. Using an inter-regional input-output model with socioeconomic data, and crossing this database with information on land use transition from forest areas to agricultural and livestock land use, it finds robust evidence that these local demand vectors play an important role in terms of the deforestation they drive. Results show that even though local population from the Amazon region represents only 13% of total Brazilian population, it drives around 30% of the total deforestation taking place 1 This author would like to thank the INCT for Climate Change (National Institute of Science and Technology for Climate Change) for the financial support that made possible to attend and to present this paper at the 53 rd Congress of the European Regional Science Association.
Design of power efficient, high-speed 4-bit comparator in UMC 180 nm technology

Power, Area, and Delay are the three important performance metrics used for analyzing any digital circuit. This paper explores different digital circuit design styles to achieve a better trade-off between the performance metrics. 4-bit Comparator based on 2’s complement addition principle is designed and implemented using these different digital circuit principles. Full adder and the other components required to implement 4-bit comparator are designed and implemented using Majority Gate Logic (MGL), Mirror Adder Logic (MAL), Complementary Pass Transistor Logic (CPL), Transmission Gate Logic (TGL) and Gate Diffusion Input Logic (GDI) for studying their performance under different stringent conditions of Temperature, Power supply, etc. The circuits are realized in the UMC 180 nm process using the Cadence Spectre Simulator with a power supply of 1.8 V.
Phase annealing in SHELX-90: direct methods for larger structures

A number of extensions to the multisolution approach to the crystallographic phase problem are discussed in which the negative quartet relations play an important role. A phase annealing method, related to the simulated annealing approach in other optimization problems, is proposed and it is shown that it can result in an improvement of up to an order of magnitude in the chances of solving large structures at atomic resolution. The ideas presented here are incorporated in the program system SHELX-90; the philosophical and mathematical background to the direct-methods part (SHELXS) of this system is described.
DDoS Attack Detection System Using Semi-supervised Machine Learning in SDN

Distributed Denial of Service (DDoS) attacks is one of the most dangerous cyber-attack to Software Defined Networks (SDN). It works by sending a large volume of fake network traffic from multiple sources in order to consume the network resources. Among various DDoS attacks, TCP SYN flooding attack is one of the most popular DDoS attacks. In this attack, the attacker sends large amounts of half-open TCP connections on the targeted server in order to exhaust its resources and make it unavailable. SDN architecture separates the control plane and data plane. This separation makes it easier to the controller to program and manage the entire network from single device to make better decisions than when the control is distributed among all the switches. These features will be utilized in this thesis to implement our detection system. Researchers have proposed many solutions to better utilize SDN to detect DDoS attacks, however, it is still a very challenging problem for quick and precise detection of this kind of attacks. In this thesis, we introduce a novel DDoS detection system based on semi-supervised algorithm with Logistic Regression classifier. The algorithm is implemented as a software module on POX SDN controller. We have conducted various test scenarios, comparing it with the traditional approach in the literature. The approach presented in this thesis manages to have a better attack detection rate with a lower reaction time.
Real-time Human Detection with Integration of Visual and Thermal Data from High Altitude sUAS

A major challenge with Search and Rescue operations is covering a large amount of area quickly, eﬃciently, and accurately. With the rising prevalence of both computer vision algorithms for object detection and small Unmanned Aerial Systems (sUAS), an eﬀective solution emerges. This work proposes a methodology for the integration of a sUAS, sensors, and software into a search and rescue workﬂow. Compared to ground search and rescue operations, sUAS allow for larger and faster area coverage at a fraction of the cost of manned aircraft missions. When combined with a versatile suite of object detection algorithms incorporating aerial data from both the visual and radiometric spectrum, the proposed system is able to analyze and process real-time data faster than existing systems at greater or comparable accuracy.
EFFECT OF CAPITAL AND LIQUIDITY MANAGEMENT ON PROFITABILITY OF MAJOR SOUTH AFRICAN BANKS

The regulatory reform for banks has been converted from post-crisis lip service into implementation actions, although the effect of the new rules on profitability is driving the financial sector to make changes to its business model. The study analysed the effect of capital and liquidity management on profitability in five leading South African banks during the period 2004 to 2014. A co-integration panel analysis was used to test for the effect of the liquidity indicators on profitability. The capital ratio and quick ratio were used as liquidity indicators, whilst return on assets (ROA) and return on equity (ROE) were used as proxies for measuring profitability. The empirical results showed that there is no long-run relationship between banks’ profitability and liquidity and capital management. For the short-run, capital ratio was found to have significant positive effect on banks’ profitability; whereas liquidity does not have an effect on banks’ profitability. This study also revealed that the proxy used as measurements of profitability tends to affect the relationship between banks’ profitability and liquidity and capital management. It was concluded that capital adequacy is considered to be the most effective tool to ensure the safety and soundness of South African financial institutions.
PRENATAL DIAGNOSIS AND MANAGEMENT OF SACROCOCCYGEAL TERATOMA

Sacrococcygeal teratoma (SCT) is one of the most common fetal tumors, with a birth prevalence varying from 1 in 22000 to 1 in 40000 live births. Recently, the perinatal outcome has improved significantly with the introduction of routine fetal anomaly scan. We present the prenatal diagnosis and management in a case of SCT that was referred to our centre at 24 weeks’ gestation. Serial fetal ultrasound evaluations were performed to assess fetal wellbeing, tumor growth and vascularization, amniotic fluid volume and to diagnose specific complications. In addition, MRI exam was performed at 32 weeks to evaluate de intrapelvic extension of the tumor. The tumor size markedly increased throughout pregnancy (from 49/30/32 mm at 24 weeks to 130/80/90 mm at 37 weeks), however the tumor vascularization was reduced and no complications were detected, except for moderate polyhydramnios in the late third trimester. A male newborn was delivered by emergency Caesarean section at 37+1weeks’ gestation, with good Apgar scores. The tumor was resected in the early neonatal period with uneventful postoperative course and the child was doing well at the time of writing. Rezumat: Diagnosticul şi conduita prenatală în teratomul sacrococcigian Teratomul sacrococcigian este una dintrele cele mai frecvente tumori fetale, cu o prevalenţă variind de la 1: 22000 la 1:40000 născuţi vii. Prognosticul perinatal s-a îmbunătăţit semnificativ în ultima perioadă, odată cu introducerea screeningului de rutină pentru anomaliile fetale. Prezentăm diagnosticul şi conduita în cazul unei sarcini cu teratom sacrococcigian fetal, ce s-a prezentat în clinica noastră la 24 săptămâni de gestaţie. Examinări ecografice fetale seriate au fost efectuate pentru evaluarea creşterii fetale, a dimensiunilor şi vascularizaţiei tumorale şi pentru diagnosticarea complicaţiilor specifice. La 32 de săptămâni de sarcină s-a practicat examinarea fetală prin rezonanţă magnetică pentru determinarea extensiei intrapelvine a tumorii. Deşi dimensiunile tumorale au crescut considerabil pe parcursul sarcinii (de la 49/30/32 mm la 24 săptămâni la 130/800/90 mm la 37 săptămâni), vascularizaţia tumorii a fost redusă, fără apariţia complicaţiilor specifice, cu excepţia unui polihidramnios moderat la sfârşitul trimestrului al treilea. Un nou-născut de sex masculin a fost extras prin operaţie cezariană de urgenţă la 37săptămâni + 1 zi de gestaţie cu scor Apgar bun. Tumora a fost rezecată în totalitate după naştere cu evoluţie favorabilă postoperatorie, iar în prezent, la vârsta de 2 ani, copilul se pezintă fără semne de recidivă. Cuvinte cheie: teratom sacrococigial, ecografie fetală, tumori fetale, teratom.
Personalized privacy protection in social networks through adversarial modeling

In order to personalize user experiences and improve the reach of advertisers, online companies increasingly rely on powerful predictive models to infer user attributes and preferences. Meanwhile, some of these attributes may be of sensitive nature and users have little say in keeping such predicted attribute values as private. Here, we propose a personalized adversarial approach which can empower users to change parts of their online proﬁle in a way that makes it harder for companies to predict their private information. Our work is tailored to state-of-the-art graph convolutional networks which are increasingly used for attribute prediction in graphs. We mitigate their predictive power by helping users decide which relationships and non-sensitive personal attributes they need to change, in order to protect their privacy. Unlike existing adversarial approaches, we consider two constraints that correspond to realistic real-world scenarios: 1) a user has control over changing their own attributes only and no collusion between users can occur, 2) a user is willing to change only certain attributes and relationships but not others. Our approach achieves a much better user privacy protection when compared to state-of-the-art adversarial algorithms for graphs.
PERFORMANCE IMPLICATION OF COOPERATIVE NORMS

This study investigates the effects of cooperative norms on exchange outcomes. We maintain that cooperative norms affect exchange outcomes by establishing the structure mechanisms of buyer-supplier relationship, such as operational linkages and information linkages. An empirical examination in the setting of buyer-supplier relationships reveals that (1) cooperative norms influence information linkages, which in turn impact the magnitude of operational linkage, and (2) information linkages and operational linkage mutually affect each other. The study further reveals that cooperative norms and information linkages do not directly influence supplier performance. Instead, they affect supplier performance by enhancing the level of operational linkages. The results also indicate that supplier performance increases buyer satisfaction.
Conductivity Mechanisms in a Composite of Chitosan-Silver Nanoparticles

The aim of this work was to investigate the conductivity mechanisms of a bionanocomposite of chitosan-silver nanoparticles. The DC conductivity in dry samples shows that the composite exhibits a percolation threshold at about 2% volume fraction of nanoparticles. For films with less than 2%, the temperature dependence of the DC conductivity in the range 2–70°C exhibits the two-dimensional hopping conductivity. For all nanocomposites in the temperature range 70–180°C, both conductivity and relaxation times obtained from electrical module measurements demonstrate an Arrhenius-type temperature dependence. This behavior is associated with the migration property of movable hydrogen ions and the formation of dipolar structures.