Miracle-dz/UniFAR-FTUs huggingface dataset:
Preventive Activity of Olive Oil Phenolic Compounds on Alkene Epoxides Induced Oxidative DNA Damage on Human Peripheral Blood Mononuclear Cells

The aim of this study was to investigate the ability of epoxides of styrene (styrene-7,8-oxide; SO) and 1,3-butadiene (3,4-epoxy-1-butene; 1,2:3,4:-diepoxybutane) to cause oxidative stress and oxidative DNA damage on human peripheral blood mononuclear cells (PBMCs) and whether a complex mixture of olive oil phenols (OOPE) could prevent these effects. The DNA damage was measured by the single-cell gel electrophoresis (SCGE; comet assay). We found that the DNA damage induced by alkene epoxides could be prevented by N-acetyl-cysteine (10 mM) and catalase (100 U/ml). Alkene epoxides caused a significant (P < 0.05) increase of both peroxide concentration in extra- and intracellular environment and formamidopyrimidine DNA glycosylase (FPG)- and Endonuclease III (ENDO III)-sensitive sites in PBMCs, demonstrating the presence of oxidized bases. OOPE (1 μg of total phenols/ml) was able to prevent the alkene epoxide induced DNA damage both after 2 and 24 h of incubation. In addition, OOPE completely inhibited the SO-induced intracellular peroxide accumulation in PBMCs and prevented the oxidative DNA damage induced by SO, as evidenced by the disappearance of both FPG- and ENDO III-sensitive sites. This is the first study demonstrating the ability of OOPE to prevent the DNA damage induced by alkene epoxides providing additional information about the chemopreventive properties of olive oil.
Improve Two-Phase Buck Converter Performance with a Coupled-Choke Topology

Interleaved multiphase converters or synchronous buck converters are usually employed to supply power to microprocessors. However, these designs typically have large ripple currents in their inductors, and thus the converters will have relatively high switching losses. One alternative that reduces switching losses is to use a coupled-choke topology in the multiphase converter. The coupled chokes improve supply efficiency by reducing the phase ripple without increasing the output ripple voltage. Furthermore, the combination of the coupled-choke topology and a lower leakage inductance will also improve the converter's transient response. This article was also featured in Maxim's Engineering Journal, vol. 67 (PDF, 1.65MB). A similar article appeared in the May, 2009, edition of Power Electronics Technology magazine. Introduction Power supplies for today's high-performance microprocessors require high-current, low-voltage DC-DC converters with fast transient responses. Those supplies must deliver currents of more than 100A at voltages of 1V and below. Additionally, they must respond to loadcurrent changes in nanoseconds. During the load changes, moreover, the supply's output voltage must remain within a narrow regulation boundary. However, a small amount of output-voltage "droop" is permitted such that the output voltage decreases slightly within the regulation boundary when the load current increases. Synchronous buck converters are normally used to power microprocessors. These converters typically step down a 12V input from a bus converter to 1.0V or lower. However, buck converters require higher steady-state levels and a fast transient response to load changes. To achieve that performance, a small inductor allows quick current ramping and can reduce the size of the output capacitor. There is, however, a problem with this approach: small inductor values lead to large ripple current in the inductor and higher switching losses for the converter. Interleaved multiphase converters substantially cancel the ripple current in the output capacitor. That allows designers to reduce the output capacitor's capacitance without affecting the ripple voltage. Alternatively, they can reduce the inductance per phase so that the power supply responds to load-current changes quicker. There is, nonetheless, still a problem with this design. As the inductance per phase in the uncoupled multiphase buck converter is reduced, phase ripple current increases. So again, the switching losses and the copper losses also increase. An alternative approach uses a coupled-choke topology in a multiphase converter. This design prevents any increase in switching losses
Performance study of acoustophoretic microfluidic silicon-glass devices by characterization of material- and geometry-dependent frequency spectra

The mechanical and electrical response of acoustophoretic microfluidic devices attached to an ac-voltage-driven piezoelectric transducer is studied by means of numerical simulations. The governing equations are formulated in a variational framework that, introducing Lagrangian and Hamiltonian densities, is used to derive the weak form for the finite element discretization of the equations and to characterize the device response in terms of frequency-dependent figures of merit or indicators. The effectiveness of the device in focusing microparticles is quantified by two mechanical indicators: the average direction of the pressure gradient and the amount of acoustic energy localized in the microchannel. Further, we derive the relations between the Lagrangian, the Hamiltonian and three electrical indicators: the resonance Q-value, the impedance and the electric power. The frequency response of the hard-to-measure mechanical indicators is correlated to that of the easy-to-measure electrical indicators, and by introducing optimality criteria, it is clarified to which extent the latter suffices to identify optimal driving frequencies as the geometric configuration and the material parameters vary.
GPS Trajectory Mining : a Survey ⋆

With the huge amount of GPS trajectories collected by GPS devices, GPS trajectory mining has become a fertile area for research, which covers several research communities such as database, information retrieval and AI. In this paper, we survey the area of GPS trajectory mining and present a global view of the key steps in the mining procedure. Specifically, we focus on the basic mining models, common preprocessing mechanisms and some interesting algorithms in this field.
NOVEL OLEUROPEIN NANOCAPSULAR FORMULATION : PREPARATION , CHARACTERIZATION AND ANTICOLON CANCER ACTIVITY

Nanotechnology has provided substantial contribution in the field of nutraceuticals’ delivery. In the current work, a novel nanocapsular system loading the nutraceutical oleuropein was prepared and characterized, then further tested for its efficacy against colon cancer cells. Oleuropein nanocapsular formulation was prepared by the phase inversion method. Oleuropein nanocapsules were characterized for their particle size, zeta potential, polydispersity index, morphology, in vitro drug release, stability and anticancer activity on HCT-116 colon cancer cells. Oleuropein nanocapsules were successfully prepared with a particle size of 151 nm, polydispersity index of 0.286 and an overall neutral charge. Moreover, it was able to sustain the release of drug for 24 hours with a cumulative percent released of 100%, compared to oleuropein control which displayed 100% release after only 2 hours. Transmission electron microscopic examination of the nanocapsules displayed their small particle size and revealed their spherical morphology in the form of core and coat. The prepared nanocapsular formulation was stable, with no significant changes in particle size, polydispersity or charge observed upon storage. Interestingly, the oleuropein nanocapsular formulation was 28 times more cytotoxic than oleuropein alone on HCT-116 colon cancer cells. Therefore, it can be delineated that nanocapsules act as promising delivery carrier for oleuropein, which is worthy of further experimentation in vivo to determine its bioavailability.
Syllable-based and hybrid acoustic models for Amharic speech recognition

This paper presents the results of our experiments on the use of hybrid acoustic units in speech recognition and the use of syllable and hybrid acoustic models (AM) in morphemebased speech recognition. Although hybrid AMs did not bring improvement in speech recognition performance when words are used as dictionary entries and units in a language model (LM), we observed a significant word error rate (WER) reduction (compared to triphone-based systems) in morpheme-based speech recognition. Syllable AMs also led to a significant WER reduction over the triphone-based systems. It was possible to obtain a 3% absolute WER reduction as a result of using syllable acoustic units. Generally, our result shows that syllable and hybrid AMs are best fitted in morpheme-based speech recognition.
Anatomical and dynamic volume spline model applied to facial soft tissue

Biomechanical modeling of soft tissue is a complex problem for achieving realistic surgical simulations, surgical planning, and scientific analysis. In the literature, three categories of biomechanical models: spline based models, spring models, and finite element models (FEMs) are mainly used for dealing with this problem. Among these, spline based models offer relatively fast and realistic soft tissue simulations by utilizing both the spring and FEMs. In this paper, a new dynamic volume spline model for human face skin is proposed and the performance of our model is discussed by estimating the results of facial surgery of three different patients. Face models of the patients are obtained from 3D CT/MR scans by segmenting the skull, muscle, and skin layers. In these face models, the skull and the muscle layers are considered as the rigid boundary for the skin layer and the skin layer is modeled by our dynamic volume spline. The control points of the dynamic volume spline are localized masses with viscoelastic material properties (stiffness, damping, and mass). These parameters are computed from the skin material properties that were published in the literature. Once the face models are generated, facial surgery plannings are simulated. Infact, the pre‐surgery face models are modified according to the surgical plans and the estimated post‐surgery face models are compared with the actual post‐surgery face models. Moreover, in order to discuss the performance of our dynamic volume spline model, the same analyses are performed on the post‐surgery estimations of a conventional tool. Copyright © 2011 John Wiley & Sons, Ltd.
System Dynamics Model for Simulation the most effective elimination of accidental and operational injuries at the Public Transport and prospect of using IT innovations ( SBA )

This paper presents an approach to develop a system dynamics model for the evaluation of the quality of accidental and operational injuries elimination efforts at the public transport in developing countries. Capabilities of using IT innovations (Service Based Architecture) not only as a witness but as a service that could bring additional incomes to Public transport companies. This model is based on the results of a case study as well as on literature research. The short introduction of system dynamics method as well as the identified variables with their causal relationships will be presented in the sections. A recapitulation of the findings and prospects on further research conclude the paper. Key-Words: System Dynamics; Public Transport; Accidental and Operational Injuries; Elimination Efforts Effectiveness; Service Based Architectures (SBA); Info product.
CLIMATE CHANGE AND ITS EFFECTS ON TOURISM . THE CASE OF SARDINIA

Climate change or called "global warming", refers to the rise in average surface temperatures on Earth. Scientifics maintain that climate change is due primarily to the human use of fossil fuels, which releases carbon dioxide and other greenhouse gases into the air. The gases trap heat within the atmosphere, which can have a range of effects on ecosystems. But the climate change can really influence the tourism in a specific area? The goals of this study is to present on the first part the cause and effects of climate change, taking into consideration the Case of Sardinia. First of all, I have wanted to show the Sardinia from historical, geographical, socio-economic point of view and the problem with the tourism. This situation has a strong effect in Sardinia, its climate is changing on coastal areas, and in fact are increasing the appearance of extreme events related to weather, sea storms, increased wave energy, the action of winds, rising sea levels, decreasing trend in rainfall and with the consequence reduction of the contribution of river sediments to the beaches. Why have I wanted to talk about Sardinia? Because it is a region that has much to offer, but for many reasons hasn't found a solution. The main problem as well as of the effects of climate change is the relationship with the tourism in high season. The tourism is concentrated only in one period, in the summer, this may mean that tourists don't visit the center areas to discover a less popular side of the island, which is characterized by its landscape, cultural heritage and traditions. We need to convince the tourists that exists other type of tourism, explore new culture and the
Saddlepoint Approximations For Option Pricing

In this dissertation we compute option prices, when the log of the underlying stock price follows a CGMY process, using different Saddlepoint approximation methods. The Saddlepoint approximation methods will be based on the Lugannani and Rice (1980) formula, as well as on an extension which incorporates non-Gaussian bases due to Wood, Booth and Butler (1993). We will consider Saddlepoint base distributions based on the jump diffusion models of Merton (1976) and Kou (2002). We also consider higher-order approximations for both Gaussian and non-Gaussian bases. More specifically, we price Binary Cash or Nothing (BCON) style options and vanilla call options. We demonstrate that the results produced are accurate for certain CGMY parameters.
PERFORMANCE EVALUATION OF NATURAL COAGULANTS ( CICER ARIETINUM AND ABELMOSCHUS ESCULENTUS ) COMPARING WITH ALUM IN COAGULATION PROCESS

Cicer Arietinum (CA), Abelmoschus esculentus (AE) seeds were investigated as an alternative natural material for treating surface water based on the problems arises with chemical coagulants like Alum. A threat for human health named Alzheimer’s disease is associated with the high aluminium residual in treated water. Therefore alternative natural material has been emphasised as a solution. The study of lab results illustrates that natural coagulant helps reducing turbidity of different turbid water (50, 150, 250 NTU) sample are well. On the other hand result depicts that the problem related to reduction of pH due to chemical improves while using natural coagulant. Moreover the other observed variation associated with alum improves. Adding more, 30 mg/l of extract from CA found to be the best removal of turbidity to 39.43 NTU and AE has not been observed better than CA. Furthermore an certain amount of alum (10, 15, 20%) added with CA and AE for experiment and observed the per performance of CA and AE improves significantly. AC10% (Alum+Cicer Arietinum) of 20 mg/l has been performed efficiently reducing turbidity to 0-5 NTU for different turbid water sample. Meanwhile AC15% of 30 mg/l has been establish as capable of 100% efficient in reduction turbidity of all three different turbid water investigate on the study. Therefore, the study represents different quantity of extract from CA can reduce the turbidity as well as its performance increases while adding a small quantity of alum.
Low Distortion Multicasting of an Analog Signal by Self-Seeded Parametric Mixer

We present a linear multicast of an analog signal in a two-pump self-seeded parametric device. The linearity of the parametric multicasting is assessed by two-tone measurements of the third-order intermodulation products and radio-frequency spectral analysis. Experimental results show the linear behavior of a four-photon mixer over a wide range of input signal power.
Safe Dependency Atoms for Logics with Team Semantics

Team Semantics [12] generalizes Tarski’s Semantics for First Order Logic by allowing formulas to be satisfied or not satisfied with respect to sets of assignments (called teams), rather than with respect to single assignments. First Order Logic with Team Semantics is easily shown to be equivalent to First Order Logic with Tarski’s semantics, in the sense that a first order formula is satisfied by a set of assignments in Team Semantics if and only if it is satisfied by all assignments in the set with respect to Tarski’s semantics. The richer nature of the satisfaction relation of Team Semantics, however, makes it possible to extend First Order Logic in novel ways, such as by introducing new operators or quantifiers [15, 5, 4, 1] or new types of atomic formulas which specify dependencies between different assignments contained in a team. Important logics obtained in the latter way are Dependence Logic [14], Inclusion Logic [6], and Independence Logic [10]. Despite the semantics of the atoms which these logics add to the language of First Order Logic being first order (when understood as conditions over the relations corresponding to teams), these logics are strictly more expressive than First Order Logic. This, in brief, is due to the second order existential quantifications implicit in the Team Semantics rules for disjunction and existential quantification. Thus, exploring the properties of fragments of such logics (as done for instance in [2, 9, 11, 13, 3]) provides an interesting avenue to the study of the properties and relations between fragments of Second Order Logic. I will present a contribution towards the more systematic study of the properties of first order definable dependency atoms and of the logics they generate. Building on the work of [7, 8], in which I described dependencies which are strongly first order in that they do not increase the expressive power of First Order Logic if added to it, I will provide partial answers to the following
A novel solution to power problems in implanted biosensor networks

Implanted biosensor networks are a special class of wireless sensor networks used in-vivo for various medical applications. One of major challenges of continuous implanted sensing is the power problems due to implanted sensors' communication cost. A deduction in theory has been made to prove the relationship between energy cost per bit and the data rate of one kind of signal. So choosing an appropriate kind of communication signals is one of the best ways to solve power problems in implanted biosensor networks. The great potential of impulse-based UWB signal, in particular low power consumption, low power spectral density, high data rate, and high immunity against interference makes itself an attractive option. This kind of communication system can probably break lots of limits in human body because of its simple architecture and carrier-free characteristic. Some successive works, which will unavoidably be met when impulse-based UWB signals are adopted in implanted biosensor network, are also discussed
Cell Decomposition Algorithm Using Pseudo Triangulation

This article reviews cell decomposition as a method of motion planning. To analyse test case algorithm, use a polygon with some holes as routing space and contain of some obstacles. In order the original polygon triangulation or pseudo-triangulation, use the sweep-line algorithm to divide the original polygon into multiple polygons without holes. Then each monotone polygons triangulates and using triangles center and the edges center, roadmap graph will be constructed. Origin and destination points is located within a separate triangle. Routing from origin triangle to destination triangle using Dijkstra algorithm will be done and the shortest path can be obtained without collision with obstacles. The new innovative algorithm pseudo triangulates the Monotone polygons instead of triangulation and center of the pseudo triangles are obtained with this method. Pseudo-triangulation makes shorter path from origin to destination. The sweep line algorithm order is O(nlogn) and the pseudo triangulation algorithm order is O(nlogn).
REVISITING THE THEORIES OF INTERNATIONALIZATION AND FOREIGN MARKET ENTRY MODE : A CRITICAL REVIEW

Scholars have given considerable attention to the development of the various theories of internationalization and foreign direct investment in order to explain the internationalization process and strategic directions of firms. However, there is no solid agreement between the different theoretical points of view to describe and predict the behaviour of firms during their international expansion process. This study attempts to offer a comprehensive analysis of the major theories related to the internationalization of firms. The research objectives are to investigate similarities and differences between various approaches, discuss their shortcomings, and provide some extension. Finally, a new theoretical framework of internationalization is proposed.
Big Data Cyber Security Threats for Mutual Detection 1

In the time of big data, it is a difficulty to be solved for encouraging the strong growth of the Internet and the Internet+, caring the information protection of individuals, institutions and countries. Therefore, this manuscript creates a mutual finding system of cyber security threats in big data. Initially, it explains the record group model of Flume, the data store of Kafka, and the data procedure of Esper; then it plans one-to-many record compilation, reliable data store, CEP data procedure using incident query and event model corresponding. Future implementation of this structure results good consistency and high competence. Furthermore, this system implementation also results recompense of low cost and bendy operation.
Anti – phytopathogenic Activities of Cladophora glomerata extract against plant fungi

The antiphytopathogenic effects of the crude methanol extract of Cladophora glomerata (Lin.) Kützing (Cladophoraceae) which isolated from Al Rashidiya region at north of Baghdad was investigated against two type of plant fungi (Pythium altimum and Rhizoctonia solani) which causes damping off disease where isolated from covered cucumber field in Al-Alyosifia region. Hot methanol extract showed antifungal activity against the two species of fungi in different concentrations(10,25,50 mg/ml) of extract to Cladophora glomerata as percentage inhibition (51.63 ,72.8 ,83.71) and (56.18 ,77.41 ,100)comparing with Pythium altimum and Rhizoctonia solani respectively . primary detection of active compounds showed that macroalgae (Cladophora glomerata) containing flavonoids,alkaloids, phenols and tannins. Our findings suggest the possibility of using the Cladophora glomerata as a novel source of natural antimicrobial agents for pharmaceutical industries.
COMMUNITY RESPONSE TO THE REMOVAL OF A DOMINANT ALGA , TURBINARIA ORNATA , ON A CORAL REEF IN MOOREA , FRENCH POLYNESIA

Moorea’s coral reefs have experienced a dramatic increase in the erect brown algae, Turbinaria ornata, over the past 30 years. This study holistically explored the effects of Turbinaria overgrowth on the coral reef ecosystem by surveying benthic assemblages and removing Turbinaria on 9 small coral heads. Another 9 coral heads were left as unmanipulated controls. Very low coral cover was found in the survey and it was negatively correlated with Turbinaria cover. Other macroalgae species were positively correlated with Turbinaria cover. Fish abundance and species richness were observed before and after Turbinaria removal. The reduction in Turbinaria resulted in an increase in wrasse (Labridae) visitation frequency and fish species richness. Settlement plates were used to determine the effect of Turbinaria removal on the recruitment of benthos. After three weeks of growing, there were significantly more encrusting algae on the plates from the removal sites and significantly more fleshy algae and sediments on plates from the control sites. Increased accessibility on the manipulated sites is likely to account for the increase in wrasse abundance and fish species richness, and the lack of early successional fleshy algae on the settlement plates.