Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of Bacterial Throat Infection Using WT and ANN

Because of unhealthy habits, nature of Job and Voice abuse the peoples are affected by the voice problems. In this modern life the vocal or vocal disorder is one of the risky factor because it changes our acoustic voice signal. So that we have to diagnosed and treated at an early stage. Although to diagnosis these more objective techniques are considered as invasive and cause discomfort to patients because of the instruments like light source, endoscopic and video cameras. The non-invasive technique based on the digital signal processing of the speech signals. An idea to characterize signals of healthy and disorders voice based on the tool, Wavelet transform and Neural Networks. Based on the time - Frequency multi-resolution property of wavelet transform, the input speech signal is decomposed into various frequency channels. For capturing the characteristics of the signal the minimum and maximum co-efficient of the wavelet's channels are calculated. We know the speech disorder can be divided into many categories here we are not taken all the type of disorders. We take only cyst and neurogenic voice disorder. In this paper Multilayer Neural Networks are used to classify the disorder voice and normal voice. The speech sample are collected from the hospital and is used to test the recognition accuracy of this system. The result accuracy of the system will be compared to the given statement of the speech therapist doctor. Besides, the proposed system had higher percentage scores 90 % than those 83% of SVM. Finally, the proposed system has confirmed the effectiveness of the identification of bacterial throat infection using WT and ANN methods.
Advances in LES of the HyShot II Scramjet Combustor

Advances in numerical algorithms accuracy and computational power make the application of Large Eddy Simulation (LES) to compressible turbulent combustion feasible: this is critical to provide a realistic turbulent flowfield, including mixing mechanisms due to unsteady eddy structures, heat transfer and combustion [ASM, 2010]. In these supersonic combustors in fact, the enhancement of supersonic turbulent mixing of jet fuel and crossflow air is a critical point for combustion, due to the limited residence time of flow in the combustion chamber. Lack of experimental data due to difficulties in setting up test facilities (Bardina et al, 1997) and in measuring thermo-physics flow proprieties has made understanding the physics of compressible flows a very difficult topic: the choice of geometry and diagnostics is sometimes a compromise and may be critical. Much of the physics of supersonic combustion is still unclear; more recently, novel experimental data shown by Nishioka [1,2,3] , past data by Swithenbank et al [4,5,6] and theoretical work by Ingenito [7] indicate mixing may be even faster than commonly assumed or predicted, and the flame short, compact and with low ignition delay. These findings were also known from US work done in the „60s for aeronautical applications and [mostly] still classified. In fact, data on mixing in supersonic flows has always been considered scarce. This is due to the fact that supersonic flows are fully 3D and mixing is mainly due to streamwise vortex structures generated by fuel jet impingement. Mixing between two 2-D parallel supersonic jets can be drastically slow with respect to the same subsonic jets [8] : in fact, in 2-D experiments eddies may be only spanwise, streamwise vorticity is suppressed, and so is the powerful mixing enhancement due these „helicoidal‟ structures. In this context, LES simulations can be of support, but until recently, numerical simulations were still far from realistically predicting the [few] experimental results. This is due to the fact that for these high flow Reynolds numbers, a fairly dense grid is required to properly predict flame anchoring and vortex structures, implying large computational resources. At the same time, it is important for LES simulations to adopt high order schemes with low-diffusion numerical schemes to accurately reproduce complex shock interactions, contact surfaces without dumping artificially resolvable scales of turbulence present in high Reynolds number flows. In the present study, LES simulations of Hyshot combustion chamber are performed by means of a in-house code (S-HeaRT, Supersonic Heat Release and Turbulence). A hybrid method has been implemented to properly capture
Antiproliferation activity of God’s crown fruit (Phaleria macrocarpa) extract and fractions against MCM-B2 breast cancer cells

Hasim Hasim1*, Silvi Octavia Kurniawati1, Bambang Pontjo Priosoeryanto2, Didah Nur Faridah3, Ratna Puspita1 1Department of Biochemistry, Faculty of Mathematics and Natural Sciences, IPB University, Bogor 16680, Indonesia. 2Department of Veterinary Clinic, Reproduction and Pathology, Faculty of Veterinary Medicine, IPB University, Bogor 16680, Indonesia. 3Department of Food Science and Technology, Faculty of Agricultural Engineering and Technology, IPB University, Bogor 16680, Indonesia.
Destination branding and visitor loyalty: The case of agrotourism

It has been established that strong destination brands are important in the agrotourism industry. Agrotourism brands provide the link between visitors and the agrotourism firms and destination, and tourists may or may not develop a degree of loyalty to relevant brands. The present study suggests that confidence in an agrotourism brand has high influence in development of brand loyalty. Based on hypotheses developed, confidence in an agrotourism brand is influenced by brand characteristics, agrotourism company characteristics and visitor characteristics. The present survey took place in Greece and examined the attitudes of visitors in agrotourism firms at the island of Lesvos. Survey results demonstrate that agrotourism firm brand characteristics appear more important in their impact on a visitor’s confidence in a brand. It was also established that confidence in a brand is positively influencing loyalty. Recommendations are developed for agrotourism marketers in relation to building and maintaining visitor confidence in a brand.
Evaluation of Business Sustainability 1 EVALUATE THE BUSINESS CASE FOR SUSTAINABILITY, AND ASSESS DEENA MARSTRENG’S STRATEGY TO PROFITABLY ADDRESS HER COMPANY’S IMPACTS ON SOCIETY AND THE ENVIRONMENT

The concept of sustainable development has become a fundamental aspect of corporate social responsibility, and Deena’s story is used to illustrate how influential leaders can re-invent the role of business in the society setting by offering alternative solutions to global problems, which the public sector failed to tackle alone. This paper looks at the concept of sustainable development and its impact on businesses. I will also look at how Deena identifies her company’s impact on the society and the environment, and the strategy that she employs to reconfigure the company’s activities in line with sustainability principles.
Dependency-Aware Task Scheduling in Vehicular Edge Computing

Vehicular edge computing (VEC) offers a new paradigm to improve vehicular services and augment the capabilities of vehicles. In this article, we study the problem of task scheduling in VEC, where multiple computation-intensive vehicular applications can be offloaded to roadside units (RSUs) and each application can be further divided into multiple tasks with task dependency. The tasks can be scheduled to different mobile-edge computing servers on RSUs for execution to minimize the average completion time of multiple applications. Considering the completion time constraint of each application and the processing dependency of multiple tasks belonging to the same application, we formulate the multiple tasks scheduling problem as an optimization problem that is NP-hard. To solve the optimization problem, we develop an efficient task scheduling algorithm. The basic idea is to prioritize multiple applications and prioritize multiple tasks so as to guarantee the completion time constraints of applications and the processing dependency requirements of tasks. The numerical results demonstrate that our proposed algorithm can significantly reduce the average completion time of multiple applications compared with benchmark algorithms.
Effectiveness of physical therapy for pregnant low back pain - A literature review

This study aims to review recently published clinical presentation on the effectiveness and impact of current therapy for low back pain (LBP) during pregnancy. This would help to build an information background and determine the necessity for future research on the development of an effective means for reducing pregnant low back pain. Key words: Therapy, pregnant, low back pain, review.
Estudo epidemiológico e avaliação de fatores de risco da infecção por Toxoplasma gondii e achados clinico-patológicos da infecção aguda em cães admitidos em um Hospital Escola Veterinário

We aimed to verify the prevalence and risk factors for Toxoplasma gondii infection in dogs addimitted at the hospital. We also assessed the occurrence rates and the clinical and pathological repercussion of the acute infection by T. gondii in these animals. Antibodies were detected in 7% (26/386) of a population of 386 dogs of both genders and different breeds and ages. Only variables, eating offal, rural origin and contact with cattle have significant values of p<0.05. Dogs from rural areas showed higher risk (OD=7.00) of infection than those of urban origin. In 6.5% (25/386) contact titles were detected (between 16 and 256); these titles do not necessarily mean acute infection, but only prior exposure. The recognition of prior infection by T. gondii is vital in those hospital patients. Depending on the cause of admission, although not being toxoplasmosis the responsible, the patient should receive prophylactic anti-parasite treatment or be monitored for further treatment in case of further acute occurrence of the disease by recrudescence of encysted bradyzoites. Only one dog (3:44%, 1/386) was admitted with high titer, what may be suggestive of acute infection (title of 4096). Although the dog with acute infection has shown neurological signs, caution is required not to extrapolate a false interpretation that toxoplasmosis is the main responsible for neurological signs, since numerous other cases included in this study had neurological signs without title of acute infection, even title of prior contact. Acute toxoplasmosis was not a significant clinic disease in this hospital; however differential diagnosis should be made in ill patients, especially those from rural areas, and definitive diagnosis must be reached for the correct therapeutic approach.
BACKTESTING VAR ESTIMATION UNDER GARCH AND GJR-GARCH MODELS

The important and no less interesting part of financial risk management is the risk modelling. Commonly utilized measure of risk (not only by banks and insurance companies) is Value at Risk. Since the financial time series are typical by non-constant volatility over time, it is crucial for Value at Risk calculation to model the standard deviation of returns correctly. In the paper we assume (relatively simple) models based on GARCH and GJR-GARCH models with Student distributions of innovations. These models are back-tested assuming the investment into Prague stock market index. The period utilized for back-testing is from 1993 till 2012, i.e. 4,627 daily values. The evaluation is made by means of the detected number of exceptions, i.e. the cases in which the observed losses were bigger than estimated Value at Risk on a given probability level. Also well-known statistical tests due to Kupiec and Christoffersen are utilized. According to results the assumed models are not accurate – the risk is underestimated, but bunching of the exceptions is not present.
THE EXTENDED RULE OF MAXWELL AND RIGIDITY CONDITIONS FOR INFINITESIMAL MECHANISMS

The present paper is concerned with the analysis of the static and kinematic behaviour of pin-jointed frameworks. In order to achieve the most correct analysis an extended formulation of Clerk Maxwell’s rule for stiff frames is presented, which can provide us with useful information regarding the number of states of independent self-stresses and inextensional mechanisms. A brief explanation of mechanism theory is given. Finally prestress stability and rigidity conditions are set for first-order infinitesimal mechanisms.
ANALIZY I OPRACOWANIA

Accumulation of human capital is one of the major determinants of economic growth. In the last decades, theoretical and empirical literature has analysed this issue at regional level, providing interesting results. The analysis focuses on 35 regions of the Visegrad Group (NUTS-2 level) in 2002-2009 and is based on Eurostat Regional Statistics. The objective of it was to compare competitiveness and human capital intensity in the Visegrad Group regions, verify the existence of correlation and thus potential human capital growth effects. The analysis comprised two groups of indicators: measures of competitive position and human capital education indicators, as measures of competitive ability. The results showed that there have been and continue to be substantial differences among the regions as regards competitiveness and human capital. This paper has contributed to confirming the positive link between education and regional competitiveness in the selected group of countries, however further research is still needed.
A Fast Robust Surface Reconstruction Algorithm by Robust Ellipsoid Criterion and Down Sampling

: Advanced 3D scanning technologies enable us to obtain dense and accurate surface sample point sets. From sufficiently dense sample point set, Crust algorithm, which is based on Voronoi diagram and its dual Delaunay triangulation, can reconstruct a triangle mesh that is topologically valid and convergent to the original surface. However, the algorithm is restricted in the practical application because of its long running time, and when the point cloud must not be noisy, the surface reconstructed is not good. Surfaces are often reconstructed from unorganized point sets with noise, so denoising is an essential step in creating perfect point-sampled models. A novel surface reconstruction algorithm is proposed. Firstly, this paper determines if one point is the noise or not by the ellipsoid criterion. After acquiring new point sets being less noisy, we smooth the remains noise by mean shift point clouds denoising method. Experiments show that our method can smooth the noise efficiently. Secondly, a non-uniformly sampling method is used to resample the input data set according to the local feature size before reconstruction. Finally, the surface is reconstructed by crust algorithm. In this way, the speed of reconstruction is increased for noisy points without losing the details we need.
THE ANCHORING AND ITS IMPACT TO THE RATIONALITY OF THE DECISION MAKERS

Decision making theory offers a variety of methods and tools to support decision making. These methods and tools are, however, based on the rationality of the decision maker. The prerequisite for most of these methods and tools to be effective is principle called „homo oeconomicus“. Unfortunately, the assumptions of rationality of the decision maker are difficult to fulfill. The decision maker faces various traps and pitfalls at every stage of decision making process. The traps and pitfalls weaken the rationality. The paper describes various traps affecting the rationality of the decision maker such as anchoring trap, status quo, seeking confirming evidence etc. In the second part, the attention is aimed on the anchoring trap and its impacts on the process of decision making. The results of scientific researches focused on anchoring trap are discussed. Own research oriented on the anchoring trap is described. Ways out of these traps are outlined in the next part.
Bittersweet cookies. Some security and privacy considerations

Cookies have emerged as one of the most convenient solutions to keep track of browser – server interaction. Nevertheless, they continue to raise both security and privacy concerns due to their continuous evolution, which addresses the needs of industries (i.e. advertising companies). In this paper, we identify and briefly analyse some of the most common types of cookies in terms of security vulnerabilities and the relevant privacy concerns. There is limited support for confidentiality, integrity and authentication in the way cookies are used. In this respect, the possibilities for misusing cookies are very real and are being exploited. Furthermore, due to the nature of the information they store and the way cookies are used for profiling, privacy concerns have been raised and policy initiatives have been initiated to address such issues. This paper takes into consideration the new types of cookies now being deployed in the online environment; these new cookies do not have enough exposure to demonstrate how they are being used and, as such, their security and privacy implications are not easily quantifiable. Studies are required to identify to what extent the new cookies can be used for tracking and also to evaluate the level of identification provided. Regarding policy perspective, the relevant EU legal framework that also addresses cookies is in transition. Currently, Member States are in the process of transposing EU directives addressing cookies and there is space for interpretations and clarifications. A study is required at the end of the transposition process to evaluate possible different requirements or interpretations.
Rational Defeasible Reasoning for Description Logics

In this paper, we extend description logics (DLs) with non-monotonic reasoning features in a number of ways. We start by investigating a notion of defeasible subsumption in the spirit of defeasible conditionals as studied by Kraus and colleagues in the propositional case. In particular, we consider a natural and intuitive semantics for defeasible subsumption in terms of DL interpretations enriched with a preference relation, the intuition of which is to capture a notion of typicality (or exceptionality) of the objects of the domain. We propose and investigate syntactic properties (à la Gentzen) for both preferential and rational subsumptions and prove representation results for the description logic ALC. This representation result paves the way for more effective decision procedures for defeasible reasoning in DLs. We then move to non-monotonicity in DLs at the level of entailment for both TBox and ABox reasoning. We investigate versions of entailment in the context of both preferential and rational subsumption, relate them to preferential and rational closure, and show that computing them can be reduced to classical ALC entailment. This provides further evidence that our semantic constructions are appropriate in a non-monotonic DL setting. One of the stumbling blocks to evaluating performance scalability of rational closure is the absence of naturally occurring DL-based ontologies with defeasible features. We overcome this barrier by devising an approach to introduce defeasible subsumption into classical real-world ontologies. This culminates in a set of semi-natural defeasible ontologies that is used, together with a purely artificial set, to test our rational closure algorithms. We found that performance is scalable on the whole with no major bottlenecks.
Effect of different wrap films on physico-chemical, sensory and microbiological quality characteristics of tray packaged boneless chicken chunks stored at -18±2°C

The need for the proper and convenient packaging methods of meat like tray packaging is surging in India. The current study is designed to evaluate influence of low density polyethylene(LDPE), linear low density polyethylene(LLDPE), high density polyethylene(HDPE) and polyvinylchloride(PVC) wrap films on various physico-chemical (pH, instrumental colour, water activity, Warner-Bratzler shear force, TBARS, tyrosine value and extract release volume), sensory and microbiological (total plate count, yeast and mold count, coliform count and psychrophilic count) attributes of boneless chicken at frozen (-18±2°C) conditions. About 200g of deboned chicken was aerobically packed separately in food grade polypropylene trays, heat sealed and studied at 1 month interval for 3 months. In frozen storage deboned chicken had good qualities in case of all the treatment films for a period of 3 months. Tray packaged chicken sealed with HDPE film had better qualities and chicken sealed with PVC film had better colour (L, a, b) characteristics than that of other films. Thus, it can be concluded that tray packaging of meat sealed with HDPE film can be successfully used under frozen conditions for maintenance of better quality.
CMOS Current Controlled Current Conveyor Transconductance Amplifier ( CCCCTA )

Current conveyors are unity gain active building block having high linearity, wide dynamic range and provide higher gain-bandwidth product. The current conveyors operate at low voltage supplies and consume less power. It has high input impedance, low output impedance, high CMRR and high slew rate. The current mode circuits such as Current conveyors (CCs) have emerged as an important class of circuits in the field of analog electronics. It has excellent properties that enable them to rival their voltage-mode counter Since the gain-bandwidth product of Op-Amp is finite; thus higher the gain it realizes; the less bandwidth it possesses. In the project we are going to design novel CCCCTA, developed in CMOS technology. The new structured CCCCTA the balanced differential-pair structure is used instead of the trans-linear structure as in the original CCCCTA. The major difference between the original CCCCTA and our proposed block are the requirements of bias current which is used to control the parasitic resistance at the input current port and the number of MOSFETs.
Monetary Economic Growth Theory under Perfect and Monopolistic Competitions

This article analyzes the difference in the properties of economic growth theory between perfect and monopolistic competition. Whether or not capital investment is constrained by effective demand is the crucial factor that characterizes economic growth theories in different degrees of competition. Whenever a firm faces a downward sloping demand curve the location of which is determined by the strength of effective demand (i.e., the real GDP), its capital accumulation is inevitably constrained by effective demand. Thus, as far as the business environment is kept unchanged, capital investment is as well. However, when the goods market is perfectly competitive, firms never perceive such a demand constraint, and thus, capital investment autonomously advances independent of the phase of the business cycle. An important macroeconomic implication of such a difference in the attitude toward capital investment is as follows. When an economy is in perfect competition, capital investment becomes an independent driving force of economic growth as Keynes considers, although it is subject to other independent expenditure (e.g., government expenditure) and falls into a subsidiary component of effective demand otherwise. ∗Corresponding author. ohtaki@iss.u-tokyo.ac. jp
5.5 Methanol Chemistry

5.5. 1 Why Methanol? One major problem of regenerative energy from wind a solar power is its naturally fluctuating abunda nce, which does not necessarily match the current energy deman d (see chapter 1). A very powerful and versatile en rgy storage strategy is to store excess energy as bond energy i n products of a chemical reaction. These products c an be sustainable synthetic fuels in the transportation s ector, and be available to compensate in times of l ow wind or sunlight irradiation in the energy sector. Moreover , the products can be used as a carbon source for t he chemical industry. Methanol is a very promising candidate fo r such an energy storage molecule.