Miracle-dz/UniFAR-FTUs huggingface dataset:
Public Servants Characteristics And Their Perception On Motivation And Performance

Motivation has always been argued to be the essential factor in the management of personnel. It is also known as a crucial variable in producing a high performance of an organization. The relationship between motivation and performance has been widely examined in previous studies. However, it seems that motivation has become one of the big questions in government organization, in particular among developing countries. Thus, understanding how employees in the public sector assess the motivation and performance is interesting. This study aims to examine the influence of two employees’ characteristics on their perception of motivation and performance. It examines a sample of 96 employees assigned specifically to deal with the prevention of Dengue Fever in Jember District Health Office, East Java Province, Indonesia. A univariate test is performed to test the hypotheses. Results show that age and gender are not related to both the work motivation and performance of employees.
Service engineering based on service oriented architecture methodology

Service Engineering (SE) and Service Oriented Architecture (SOA) originally reside on different plateaus of discipline. SE is defined as a set of activity introducing a new business service, while SOA is a technical approach to redefine an enterprise business processes as a set of IT enabled services. This paper proposes a SOA embedded SE framework as a comprehensive approach in re-defining business service and its IT implementation. After an introduction, a review of existing SE frameworks and SOA methodologies is presented in the paper. Afterward, a complete SE framework is proposed with several results on early case studies. A survey results are then presented to prove the usability and benefit of the proposed framework. The framework is designed and proposed to help practitioners and researchers to conduct service engineering by employing principles and methodology offered by SOA approach.
Acoustic camera and beampattern

The wavenumber-frequency response of an array describes the response to an arbitrary plane wave both in time and space. When the input consists of a single monochromatic plane wave, the response of the array is referred to as the array pattern or beampattern. Through the design of the array our goal is to have a directivity of the array as high as possible in a given direction, while suppressing signals and noise from directions being different from our focused attention. The beampattern of an array is a key element in determining array performance, and is largely determined by the array geometry.
ON THE COMBINATORICS OF SAMPLE COMPRESSION SCHEMES

A sample compression scheme of size k for a concept class C is a pair of functions (f, g) called the compression function and the reconstruction function. The functions have the property that for any sample S consistent with a concept in C, f compresses S to some subset of S, for which g returns a set of domain points, labelled consistently with the original sample S. The sample compression scheme is called labelled if the compression sets are labelled subsets of S and unlabelled if the compression sets are subsets of the instance set of S. M. Warmuth and S. Floyd have shown that if a sample compression scheme of size equal to the VC dimension of a concept class C exists then C can be PAC learned by some learning algorithm. Although it is already known that any concept class of finite VC dimension is PAC learnable, the existence of a sample compression scheme of size equal to the VC dimension improves the sample complexity of learning some concept classes. This leads to an important conjecture, first proposed by M. Warmuth and S. Floyd: does there always exist a sample compression scheme of size O(d) for a concept class C with VC dimension d.
Content-Specific Unigrams and Syntactic Phrases to Enhance Senti Word Net Based Sentiment Classification

 Abstract —Sentiment classification intelligently detects the polarity of documents by ascertaining polar values encapsulated in the document to classify them into positive and negative sentiments. Machine learning classifier completely relies on the feature set orientations. SentiWordNet is a lexical resource where each term is associated with numerical scores for subjective and objective sentiment information. SentiWordNet based sentiment classifier uses sentiment features generated from 7% subjective terms available in the resource. Sentiment features bear generic orientation for multiple domains but lacks comprehensive coverage e.g. Text unit with null or few sentiment features reflects ambiguous or null sentiments. Use of content specific unigrams and syntactic phrases along with sentiment features ensures consistency in the classification while enhancing the performance paradigm. Model proposed in this research is validated on sentiment and polarity datasets. Results of this research, completely out performs previous approaches and methods.
Evaluation of effects of nutritional risk assessment and enteral and parenteral nutritional interventions after esophageal cancer surgery

Objective: Our aim was to assess effects of postoperative nutritional risk and enteral and parenteral nutritional interventions after esophageal cancer surgery (ECS). Methods: A total of 98 patients with esophageal cancer treated in our hospital from October 2015 to October 2017 were selected and divided into observation group (n=49) and control group (n=49) by random number table method. Nutritional risk was assessed by Nutritional Risk Screening 2002. The control group used routine parenteral nutritional intervention while observation group used enteral and parenteral nutritional interventions. Nutrition status, immune function, complication, Karnofsky performance status (KPS) score, hospitalization condition, and nutritional risk assessment results were compared. Results: The observation group had significantly higher nutrition status and immune function than control group (both P<0.05). The observation group had significantly higher KPS scores after 4, 8 and 12 days of intervention than control group (all P<0.05). Observation group also had a significantly lower incidence of complications than control group (P=0.0136). The observation group had significantly shorter anus exhaust time and length of stay and a significantly lower cost of hospitalization than control group (all P<0.05). The observation group had significantly lower nutritional risk assessment results than control group (P<0.05). Conclusion: After surgery, there are nutritional risks for esophageal cancer. Routine enteral and parenteral nutritional interventions can significantly elevate nutrition status and decrease incidence of complications. These interventions have definite efficacy and are worthy of clinical application.
A Simple DVFS Controller for a NoC Switch

Network-on-Chip (NoC) is the high-performance and scalable alternative to the old-fashioned bus, but yet a costly one as far as power consumption is concerned. Dynamic Voltage and Frequency Scaling (DVFS) is a very effective technique for reducing power consumption. In its typical, bulky incarnation with voltage regulators and PLLs or DLLs for frequency synthesis, though, it does not fit very well the need for individual regulation at the level of NoC's single switch. We propose a simple DVFS mechanism for a NoC switch. It uses just two voltages, high and low, for voltage scaling. For effective frequency scaling a periodic scheduler equipped with a simple counter and a clock-gating logic is used. A feedback control loop chooses the appropriate frequency and voltage pair based on the status of switch's input FIFOs. We report results of simulation and synthesis on a 45nm CMOS technology
SINGLE-CURRENT-CONTROLLED SINUSOIDAL OSCILLATOR WITH CURRENT AND VOLTAGE OUTPUTS USING SINGLE CURRENT-CONTROLLED CONVEYOR TRANSCONDUCTANCE AMPLIFIER AND GROUNDED PASSIVE ELEMENTS

This work presents a single-current-controlled (SCC) sinusoidal oscillator that explicitly generates both current and voltage outputs, and employing only a single current-controlled conveyor transconductance amplifier (CCCTA) as the active building block, and three passive components. The presented circuit provides the advantage features of independent electronic control of oscillation condition and oscillation frequency, and use of all grounded passive components. The circuit also exhibits low active and passive sensitivities and permits good frequency stability. Computer simulation results obtained from PSPICE program using 0.35-μm BiCMOS real process parameters are performed to confirm the excellent performance of the proposed oscillator circuit.
Applying Internal Analysis Data and Non-Linear Genetic Algorithm in Developing a Predicting Pattern of Financial Distress

Bankruptcy is an event with strong impacts on management, shareholders, employees, creditors, customers and other stakeholders, so as bankruptcy challenges the country both socially and economically. The aim of this study is to make a financial distress predicting model for listed companies’ in Tehran stock exchange using financial proportions and artificial intelligent techniques. So financial information relevant to time period 1992 to 2011 is compiled and expected financial proportions’ are extracted and neural network patterns (ANN), principal component analysis combination, and Non-Linear Genetic Algorithm (PCA +NON-LIN) have been compiled to predict the financial distress. Then according to obtained results, these patterns have been compared and the best pattern has been chosen. In accordance with the results, It is distinguished that the neural net work using the information One year before financial distress occurring has more efficiency in predicting the financial distress of the companies rather than the other technique in this research. [Zahra Poorzamani. Applying Internal Analysis Data and Non-Linear Genetic Algorithm in Developing a Predicting Pattern of Financial Distress. Life Sci J 2013;10(7s):58-63] (ISSN:1097-8135). http://www.lifesciencesite. com. 10
Effect of Self Curing Compound on Strength and Durability of M25 Mix Concrete

Today concrete is most widely used construction material due to its good compressive strength and durability. Depending upon the nature of work the cement, fine aggregate, coarse aggregate and water are mixed in specific proportions to produce plain concrete. Plain concrete needs congenial atmosphere by providing moisture for a minimum period of 28 days for good hydration and to attain desired strength. Any laxity in curing will badly affect the strength and durability of concrete. Self-curing concrete is one of the special concretes in mitigating insufficient curing due to human negligence paucity of water in arid areas, inaccessibility of structures in difficult terrains and in areas where the presence of fluorides in water will badly affect the characteristics of concrete. So many studies are done about the USAge of Self curing concrete. In the present study, the affect of admixture (PEG-200) on compressive strength, split tensile strength at one percentage for M25 mix was studied and it compared with the properties of PEA( Poly Ethylene Alcohol). It was found that Poly Ethylene Glycol-200 is a good self curing agent when compared with Poly Ethylene Alcohol. The present Study was shown about a clear cooperate picture about the strengths of PEG-200 and PEA and its stress strain behaviour also shown clearly. This study gives a clear notation on Durability aspect also.nbsp nbsp
Brain Tumor Recognition / Classification By Using Feed Forward Back Propagation Neural Network

Brain tumor is a serious problem facing by most of the people today. According to survey many of medical researchers trying to find an early detection and classification of tumor. It is an uncontrolled growth of cells in any part of our body. The proposed system uses back propagation along with feed forward by using neural network techniques to detect earlier and quickly, which in turn helpful to doctors for curing disease perfectly. Also, our methodology helps to classify types of tumor i.e. normal (benign) or abnormal (malignant) by taking slices of different patient data sets. Here we used two layers feed forword is trained with back propagation for especially classification of tumors
The RISC-V Instruction Set Manual

Volume II: Privileged Architecture Privileged Architecture Version 1.10 Document Version 1.10 Warning! This draft specification may change before being accepted as standard by the RISC-V Foundation. While the editors intend future changes to this specification to be forward compatible, it remains possible that implementations made to this draft specification will not conform to the future standard.
THE COMMON EFFECTS OF INFLATION AND OUTPUT GROWTH UNCERTAINTY ON TURKISH ECONOMY

Real gross domestic product as economic performance and deposit interest rates and nominal exchange rates as monetary policy variables have been used to discuss the effects of inflation and the output growth uncertainties on these variables. The common effects of the uncertainty in these two indicators on monetary policy variables and economic performance were examined in contradistinction to other studies.An empirical study investigating the common effects of inflation and output growth uncertainty using the Turkish data set will be important and informative because the data cover both highand lowinflation periods. This study uses multivariate generalized autoregressive conditional heteroscedasticity models to determine how inflation uncertainty and output growth uncertainty affect economic performance and monetary policy variables.
Analysis of Cooperative Communication and Link Layer Performance under Imperfectly Known Fading Channel Gains

One of the main issues of wireless communication systems is to cope with random variation of their channel conditions. In many wireless communication systems, the receiver estimates the channel for symbol detection. It is usually assumed that channel estimation is perfect, but in practice, channel estimation error (CEE) can become significant and can degrade the performance of wireless communication systems. This thesis addresses the effects of channel estimation error in two contexts: CEE in cooperative communication systems and CEE in link layer performance. Cooperative diversity, which has been recently presented as an effective way of mitigating the effect of deep fades in wireless channels and improving spectral and power efficiency of the wireless networks, is considered in the first part of this dissertation. Taking into consideration the presence of CEE, part I of this thesis analyzes a few cooperative communication system models, which display different levels of practicality and represent large classes of cooperative systems in the literature. This thesis spells out delineating aspects of these models and rigorously compares their error probabilities. Furthermore, a novel signal detection scheme in the presence of CEE is presented for large classes of cooperative communication systems. Part II of this dissertation focuses on cross layer issues between the physical and link layers of wireless communication systems. In particular, the frame error probability (FEP) is derived for a wireless communication system over fading channels in the presence of CEE. Part II also explores the issue of optimizing bit transmission power for minimizing the expected energy required to reliably deliver a frame to the destination node through an ARQ mechanism over a fading channel. Also, an optimization algorithm is designed to minimize the expected energy for reliable delivery of a frame for the systems under consideration.
An Empirical Study of Factors Influencing Behavioral Outcomes within Online Retailing Service Contexts

Motivated by the growing interest in online commerce, the author develops a research model examining the relationships among online service quality, customer satisfaction, perceived value and behavioral outcomes toward online retailing services. The empirical results of this study validate research hypotheses and confirm five of the six hypotheses. One hypothesis that tested the relationship between perceived value and behavioral outcomes was not confirmed. However, this study found that service quality and perceived value are significant factors affecting consumers’ satisfaction level, which in turn affects behavioral outcomes. The findings expand existing theory since they provide insights into the basic understanding of online service quality and the role of perceived value within in online retailing context—an important concept in marketing but under researched. In order to provide better services for customers, service providers need to invest in online service quality design and evaluation, and at the same time, enhance the perceived value associated with online services.
Atorvastatin suppresses CD 147 and MMP-3 expression and improves histological and neurological outcomes in an animal model of intracerebral hemorrhage

Intracerebral hemorrhage (ICH) poses serious health concerns in the Chinese population. Few treatment options are available for managing ICH. However, atorvastatin has been shown to improve functional outcomes after ICH. The present study investigated the possible mechanism by which atorvastatin protects against tissue damage in an animal model of ICH. Rats were injected with collagenase in the globus pallidus to induce ICH. Six hours after ICH induction, rats in treatment group A orally received 2 mg/kg and rats in treatment group B orally received 10 mg/kg atorvastatin, followed by once daily administration of atorvastatin for seven days. The ICH model group did not receive any medication and the sham surgery group was injected with saline. Expression of cluster of differentiation 147 (CD147) and matrix metalloproteinase-3 (MMP-3) and histological and neurological outcomes were assessed at 24, 48, 72 h, and seven days post ICH induction. Compared to the sham surgery group, the ICH group showed a significant increase in CD147 and MMP-3 levels, as well as neuronal loss and impaired neurological functions (p < 0.01). Treatment with atorvastatin at both dosages significantly suppressed the increase in CD147 and MMP-3 levels, and the treated animals exhibited significantly improved histological and neurological outcome in a dose-dependent manner. From our data, we concluded that atorvastatin exerts neuroprotective effects through suppressing CD147, which leads to MMP-3 down-regulation, thereby reducing inflammatory responses secondary to ICH and improving histological and neurological outcomes.
On the Multi-Hop Performance of Sender-Receiver Synchronization Mechanisms

Prior work on sender-receiver-based time synchronization in sensor networks can be categorized into two approaches: two-way packet exchange and one-way packet dissemination. We provide a comprehensive analysis of synchronization errors with these two approaches. We find that one-way dissemination approach provides good relative drift estimation and poor drift estimation while the two-way exchange approach provides accurate drift estimation but imprecise relative drift estimation. In average, using one-way scheme can result in significant cumulative propagation error over multiple hops, and using two-way can lead to high variance of propagation error. We develop and analyze a hybrid one-way dissemination/two-way exchange technique, and verify the performance of our hybrid scheme by experiments. The results suggest that this hybrid approach can provide bounded average error propagation in multi-hop settings and significantly lower variance of propagation error.
Territorial Differences between Countries with Regard to the Wellness Lifestyle of Their Youth

The focus of the present research is the issue of education on healthy lifestyles and consequently the future target group of wellness tourism. We examined European college students to discern whether there are territorial differences in the wellness lifestyle of their young people and which major characteristics are typical of Hungarian youth. As the result of our literary and questionnaire research, based on factor analysis, we fine-tuned the factors determining the wellness lifestyle in our so-called wellness roulette and make recommendations for lifelong learning in terms of healthy lifestyles.
Chapter 2 Emotions of Sport Spectators

Much researcher has focused on emotions, because emotions play such an important role in predicting consumer behavior. In this chapter I review previous studies related to customer emotion and delight and introduce empirical studies that apply psychological theory to sport spectator behavioral research. I also briefl y cover fundamental knowledge concerning emotion and delight as a basis for understanding the research presented as well as for aiding in the development of future research topics. The information in this chapter will prove useful to those in the sport industry and especially to researchers and sport marketers or managers.
INTERACTIVE TOOLS FOR LEARNING FOREIGN LANGUAGES - CASE STUDY: CLUJ-NAPOCA GERMAN CULTURAL CENTRE

The Cluj-Napoca German Cultural Centre organises German language courses for different levels of linguistic competence. In teaching German, the tutors implement interactive learning concepts, mostly serious game. A feedback survey focused on the students' perception on the interactive techniques used and how further implementing interactive learning techniques improve the German courses was conducted. This paper shows the results of the survey, and interprets them from the perspective of the lifelong learning concept implemented at the Cluj-Napoca German Cultural Centre. The results interpretation was considered when implementing an Adobe Flash ® serious game for writing and vocabulary exercises.
Split-pseudopaths in split-prime extensions

Let G be a graph, a split in G is a bi-partition (X, Y ) of its vertex set V (G) such that | X |, | Y |≥ 2 and there are all possible edges between X = X ∩N(Y ) and Y + = Y ∩N(X) where N(X) and N(Y ) are respectively neighborhood of X and Y in G. Let X− and Y − be respectively the sets X \X and Y \ Y . Whenever X− = ∅ (resp. Y − = ∅) the set X (resp. Y ) is a non-trivial module of G. Let H be a graph without split containing G as induced subgraph. We show that in the graph induced by V (H)\V (G) and for any split (X, Y ) of G there exists a particular kind of graph the (X, Y ) -split-pseudopath. The structure of the split-pseudopath generalizes that of the W -pseudopath introduced by I. Zverovich in [8] where W is a non trivial module of G. AMS Subject Classification : 05C75
Does hearing impairment lead to social exclusion ?

▸ The development of hearing difficulties is positively associated with feeling left out of things often and negatively associated with the frequency at which individuals carry out social activities ▸ Hearing impairment increases subjective feelings of exclusion throughout the population, while it threatens the objective participation in social activities only for the population aged 70 + and among those who have a large social network ▸ Feelings of exclusion and reduced social participation act as pathways through which hearing problems may lead to depression, functional limitations and cognitive impairment
1 Adaptive quantile regression

In this paper, the estimation of a regression quantile function is studied. We consider a linear regression model with dimension m, where m may be as large as the number of observations n. As penalty on the quantile regression estimator, the sum of the absolute value if its coefficients is used. We show that the estimator adapts to the unknown smoothness of the underlying quantile regression function, as well as to unknown identifiablity properties.