Miracle-dz/UniFAR-FTUs huggingface dataset:
SEARCH RESULTS : A FULL TEXT BASED APPROACH

With so much information available on the web, looking for relevant documents on the Internet has become a tough task. In this paper we present as approach which is a match between a querybased Google and a category-based Yahoo. WISE is a web page hierarchical clustering system, language and topic independent, supported by a graph based overlapping algorithm that groups web relevant pages into a hierarchy of properly labeled overlapping clusters. We consider phrases instead of single words, web content mining techniques to represent the documents, and an hierarchical soft clustering approach as opposed to a flat clustering one. Together, this will improve the organization of the results, enhancing the experience of looking for relevant and hide documents and helping on solving the synonym and ambiguity problem.
A K-band Biconical Antennas System for Wireless Wideband Communication Equipments

In this paper a biconical antennas system operating in a wideband TX/RX video and voice communications module is described. The antenna module is part of a K-band (38.3-38.6 GHz) equipment installed in a vehicle on the move composed by two different units: the IDU, indoor unit , is installed inside the vehicle and the ODU, outdoor unit, is installed on the top of the vehicle. The ODU is composed by the RF transceiver and the antennas system that is formed by two equal biconical antennas performing the transmitting (TX) and receiving (RX) functionality respectively. The fabricated antennas, characterized by reduced size and low weight, are feeded through WR28 rectangular waveguide obtaining minimum insertion loss in connecting the antennas itself with the system.
An assessment of the relationship between job stressors and faculty performance in selected private universities in Kenya

This study aimed at assessing the relationship between job stressors and faculty performance private universities in Kenya. Data was collected from a sample of 384 full time and part time faculty members. Job stressors were broken down into three sub categories; work load, job security and career progression while faculty performance was evaluated as a component of research, teaching and service. Both descriptive and inferential statistics was applied in analyzing data. Results showed R-squared value of 0.499 while the beta coefficient for job stressors was -0.667, indicating an inverse relationship between job stressors and faculty performance. With p value less than 0.05, the null hypothesis was rejected, revealing a statistically significant relationship between job stressors and faculty performance. The research findings imply that universities should have strategies to maintain low levels of stress for better faculty performance.
Post-Secondary School Farmer Training and Its Influence on the Level of Performance in Farming in Kangundo and Matungulu Sub-Counties , Kenya

Farming is a major contributor to the economic development of Kenya. It is the source of livelihood for over 80 percent of the total population. However, a number of factors influence performance in farming. These factors are human factors, biotic factors, climatic factors and soil factors. The major sources of agriculture knowledge and skills are: the secondary schools, tertiary institutions, agricultural extension services and farmer training programmes. A number of secondary school agriculture graduates (SSAGs) take farming as a business. Their success in farming could be influenced by a number of factors, including postsecondary school farmer training. The target population consisted of farmers who studied agriculture at secondary school level and sat for the Kenya Certificate of Secondary Education examinations between 1989 and 2004. The sampling procedure adopted for the study was snowball method, where the sample size of 100 respondents was obtained. The study used an ex-post facto research design. Data were collected using structured questionnaires in Kangundo and Matungulu sub-counties. Descriptive statistics used for analysis of the objectives were means and percentages. Inferential statistics used for analysis of the hypotheses were categorical regression and Chi-square at statistical significance of 0.05 alpha level. Major findings of the study indicated that post-secondary school farmer training was not statistically significantly related to income from farming enterprises. The study therefore recommends that secondary school agriculture education should be backed with post-secondary school agriculture training at tertiary institutions.
Basic Tools and Techniques for Algorithms in LearningTheory Dimitris Diochnos Created : Spring 2016 Revised : Fall 2017

These notes were created for CS 4710 Artificial Intelligence at UVA during the Spring of 2016. The primary scope of the notes is the exposition of Markov’s inequality and Chebyshev’s inequality, as these are common tools used in learning theory and more broadly in the analysis of randomized algorithms. Revision (Fall 2017). The document was revised during the Fall of 2017 as I realized the existence of a particular line of work. See Section 4 for details; this section was added in the Fall of 2017. 1 Background from Probability Theory Definition 1 (Sample Space). The sample space of an experiment (or random trial) is the set of all possible outcomes (or results) of that experiment. Definition 2 (Random Variable). A random variable over a sample spaceΩ is a function that maps every sample point (that is, outcome) to a real number. Definition 3 (Independent Random Variables). Let Ω be a sample space. Two random variables X and Y are independent, if for all x, y ∈ Ω, Pr (X = x∧ Y = y) = Pr (X = x) · Pr (Y = y) . An alternate definition is the following. Definition 4 (Independent Random Variables). Let Ω be a sample space. Two random variables X and Y are independent, if for all x, y ∈ Ω, such that Pr (Y = y) ̸= 0, we have Pr (X = x|Y = y) = Pr (X = x) · Pr (Y = y) . Proposition 1 (Expectation of Independent Random Variables). Let X and Y be two independent random variables. Then, E [XY] = E [X] · E [Y] . Remark 1. Note that Proposition 1 is really a property of the expectation operator for independent random variables. In general, Proposition 1 is not true. Actually, it is covariance (see Lemma 7) that measures by how much Proposition 1 fails. January 9, 2019 1/12 Basic Tools and Techniqes for Algorithms in Learning Theory Proposition 2 (Union Bound). Let Y1, Y2, . , YT be T events in a probability space. Then, Pr  T ∪
Smooth neighborhood recommender systems

Recommender systems predict users’ preferences over a large number of items by pooling similar information from other users and/or items in the presence of sparse observations. One major challenge is how to utilize user-item specific covariates and networks describing user-item interactions in a high-dimensional situation, for accurate personalized prediction. In this article, we propose a smooth neighborhood recommender in the framework of the latent factor models. A similarity kernel is utilized to borrow neighborhood information from continuous covariates over a user-item specific network, such as a user’s social network, where the grouping information defined by discrete covariates is also integrated through the network. Consequently, user-item specific information is built into the recommender to battle the ‘cold-start” issue in the absence of observations in collaborative and contentbased filtering. Moreover, we utilize a “divide-and-conquer” version of the alternating least squares algorithm to achieve scalable computation, and establish asymptotic results for the proposed method, demonstrating that it achieves superior prediction accuracy. Finally, we illustrate that the proposed method improves substantially over its competitors in simulated examples and real benchmark data–Last.fm music data.
The Role of Semantics in Testing Semantic Web Services

2 Suhaimi Ibrahim and Naz’ri Mahrin are supported by Research University Grant Vot 00H68 Abstract – Semantic Web Services are Web Services that are semantically annotated in order to make the services machine understandable, thus allowing service discovery, selection, composition, and invocation to be done automatically or with minimum human intervention. The Semantic Web services research community has been focusing on how these semantics can facilitate service discovery, selection, composition, and invocation. As of late, there have been some growing research interests in the area of Semantic Web services testing. However, it is not stated how the semantic annotations in the Web services description can help improve testing and how different it is from testing normal Web services. This paper discusses current ongoing research on testing Semantic Web services and classifies how testing uses the semantics of the Semantic Web services description.
Ideological Framing in Television News: The Case of “Settlement Process”

Television news has gained a new dimension in terms of ideological approaches as a result of such factors as globalization, cross monopolization, presence of international companies etc. and certain strategies have been developed at the production, presentation and distribution stages of news. In this study, television news about a process called “settlement process” was investigated. In this framework, news about the settlement process on TV channels of TRT 1, ATV, FOX TV, NTV, HABERTÜRK, TRT HABER and STV was investigated using the content analysis method in terms of the strategies the ideology construction, attitude towards the party in power, attitude towards parties in opposition and attitude towards BDP (Peace and Democracy Part) and Imrali (the island where Abdullah Ocalan, head of PKK, is kept). First, the aforementioned TV channels were selected randomly from 3 groups in order to be able to reveal the representational capacity of commercial, news and public channels. The study covers 557 news items broadcast in the main news bulletins between the dates of 15 March 2013 and 15 March 2013. While there was a positive attitude towards the government in a sizable portion of the news about the settlement process (63.6%), the attitude of 25.3% of the news was impartial towards the government and 11.3% had a negative attitude. On the other hand, there was a negative attitude towards the Opposition in a considerable portion of the news about the settlement process (56.1%). The attitude of 35.9% of the news towards the Opposition was impartial whereas 8.0% had a positive attitude. While 34.9% of the news about the settlement process used the legitimization strategy from among the ideology construction strategies, 22.8% used the unification strategy, 15.7% the reification strategy, 15.6% fractional and 11% concealment/mystification strategy. Keywords—Attitude, Ideological Framing, Television News.
United States Patent ( 19 ) Wise et al . 54 SELF-TESTING CAPACITIVE PRESSURE TRANSDUCER AND METHOD

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FACTORS INFLUENCING THE EMPLOYEE ENGAGEMENT IN PRIVATE HOSPITALS

Employee engagement has emerged as an important aspect in the highly dynamic business environment today. India‘s healthcare sector is confronted with high employee turnover despite retention measures taken by the HR. Making the employees engaged to the hospital is inevitable to provide patient satisfaction and for the quality health care. Engaged employees go extra mile and put more efforts to provide patient satisfaction and quality service. Since healthcare sector is one of the vast service sector in India, this study focuses on private multi-specialty hospitals in Bangalore. There are enormous opportunities for paramedical staff in India as well as abroad, hence making them engaged to the organization becomes the concern for management. The purpose of this study is to understand the influence of the factors namely; perceived organizational support and perceived supervisor support on employee engagement in private hospitals. It is imperative to engage the talents and keep them for a long tenure with the hospitals, because ultimately it is the engaged employees who provide customer satisfaction and build brand image of the organization. Data was collected from 550 randomly selected paramedical staff employed in 10 private multispecialty hospitals, 50 were unusable and leaving 500 for the analysis. To test hypotheses, Pearson correlation and Multiple regression were applied.
Working Paper 2018 : 04 Retail forecasting : research and practice

This paper first introduces the forecasting problems faced by large retailers, from the strategic to the operational, from the store to the competing channels of distribution as sales are aggregated over products to brands to categories and to the company overall. Aggregated forecasting that supports strategic decisions is discussed on three levels: the aggregate retail sales in a market, in a chain, and in a store. Product level forecasts usually relate to operational decisions where the hierarchy of sales data across time, product and the supply chain is examined. Various characteristics and the influential factors which affect product level retail sales are discussed. The data rich environment at lower product hierarchies makes data pooling an often appropriate strategy to improve forecasts, but success depends on the data characteristics and common factors influencing sales and potential demand. Marketing mix and promotions pose an important challenge, both to the researcher and the practicing forecaster. Online review information too adds further complexity so that forecasters potentially face a dimensionality problem of too many variables and too little data. The paper goes on to examine evidence on the alternative methods used to forecast product sales and their comparative forecasting accuracy. Many of the complex methods proposed have provided very little evidence to convince as to their value, which poses further research questions. In contrast, some ambitious econometric methods have been shown to outperform all the simpler alternatives including those used in practice. New product forecasting methods are examined separately where limited evidence is available as to how effective the various approaches are. The paper concludes with some evidence describing company forecasting practice, offering conclusions as to the research gaps but also the barriers to improved practice. Keywords; retail forecasting; product hierarchies; big data; marketing analytics; user-generated web content; new products; comparative accuracy; forecasting practice.
Title Canonical dependency analysis based on squared-loss mutualinformation

Canonical correlation analysis (CCA) is a classical dimensionality reduction technique for two sets of variables that iteratively finds projection directions with maximum correlation. Although CCA is still in vital use in many practical application areas, recent real-world data often contain more complicated non-linear correlations that can not be properly captured by classical CCA. In this paper, we thus propose an extension of CCA that can effectively capture such complicated non-linear correlations through statistical dependency maximization. The proposed method, which we call least-squares canonical dependency analysis (LSCDA), is based on a squared-loss variant of mutual information, and it has various useful properties besides its ability to capture higherorder correlations, for example, it can simultaneously find multiple projection directions (i.e., subspaces), it does not involve density estimation, and it is equipped with a model selection strategy. We demonstrate the usefulness of LSCDA through various experiments on artificial and real-world datasets.
Revisiting Residential Demand for Electricity in Greece : New Evidence from the ARDL Approach to Cointegration By Theologos Dergiades * and Lefteris Tsoulfidis * *

This article reexamines the long-run and short-run determinants of the aggregate residential demand for electricity in Greece using data spanning the period 1964-2006 and the recently advanced ARDL cointegrating procedure that has not been hitherto tried to Greek data. The results of the econometric analysis show the presence of an equilibrium relationship between the variables involved in both the long-run and short-run periods. These findings may shed new light on the contemplation of policies, which direct the residential demand for electricity to desired goals. JEL Classification: C22, Q41, Q43
Waqf financing expenditure and its impact on government debt

The Malaysian debt has been under scrutiny since the 1Malaysia Development Berhad (1MDB) scandal; placing pressure on the research for sustainable debt. The purpose of this article is to forecast the impact of waqf (Islamic pious foundation) financing expenditure on federal government debt in Malaysia. It is to ascertain whether waqf can be an alternative solution to government debt reduction. To perform this, the Neoclassical Dynamic Stochastic General Equilibrium (DSGE) model is adopted. The theoretical framework is developed by considering the history, tradition, culture, and political influence of waqf primarily in Muslim majority countries. It was also inspired by the European third sector framework. The result shows that federal government debt can be reduced when waqf finances federal government expenditure. This has several implications. For one, this study revives the cohesive government- waqf role in providing pure and mixed public goods without depending solely on government expenditure. It highlights the fact that these shared role has an impact of reducing government debt. The result also inadvertently provides evidence of a significant third sector role on public finance dynamics. As a matter of fact, this study is one of very few quantitative attempts in illustrating how waqf interacts with the economy and its impact on government debt.
Spatial prediction of tra ffi c accidents with critical driving events – Insights from a nationwide fi eld study

Despite the fact that semi-autonomous vehicles will become more and more prevalent in the coming decades, recent studies have highlighted that traffic accidents will persist as a core issue for road users, insurers, and policy makers alike. Researchers and industry players see potential in the technology embedded in semi-autonomous vehicles to combat this challenge by reliably predicting locations with a high likelihood of traffic accidents. This technology can be leveraged to detect accidents and ‘near miss incidents’, such as heavy braking and evasive manoeuvres, otherwise known as Critical Driving Events (CDEs). The locations of CDEs could identify areas of high accident exposure, offering automotive insurers a unique opportunity to reduce traffic accidents through the adoption of active loss prevention business models, such as providing saferouting services and in-vehicle warnings. To date, there is limited empirical evidence on whether the Crash Frequency and Crash Rate of locations can be accurately identified through CDEs. To address this research gap, an 18-week naturalistic driving field study of 72 vehicles was conducted in Switzerland, covering over 690,000 km. Data collected from the CAN Bus of these vehicles indicate that there is a proportional relationship between the CDEs of the fleet, and the Crash Frequency and Crash Rate of a location. Furthermore, a nationwide spatial regression analysis was applied to determine Crash Frequency across the majority of the Swiss road network. We identify the relationship between Crash Frequency, and the CDEs and Trip Frequency of the fleet, along with additional explanatory variables for urban and highway locations. These insights provide first evidence that insurance companies and other industry players with access to a nationwide semi-autonomous fleet can determine existing and emerging locations of high accident probability, enabling more proactive business models and safety focused services.
Operation Constraints and Methodology for Stability Preservation in Power Systems with High Penetration of Non-Synchronous Generation

Nowadays, significant changes in the electricity generation mix raise questions about the secure operation of power systems. Most of the newly installed generation capacity is being connected to the grid via power electronic converters, thus can be seen as a non-synchronous generation. The theory of power system operation and control relies heavily on the characteristics of synchronous machines and conventional network structure. Therefore, the effective integration process of the new technologies must include the composition of new physical models for converter dominated large power systems as well as innovative solutions to ensure the secure operation in the future. The focus of this paper is a holistic analysis of the reducing power system inertia to frame up new constraints for system operators through simulation studies on the Institute of Electrical and Electronics Engineers standard 118 bus test system. The different system states and scenarios offer a comparison opportunity between stability preservation possibilities. Minimum inertia constraint calculation methodologies and various objective functions are being discussed. The utilization and effects of synthetic inertia from non-synchronous generators and energy storage systems is also considered to quantify the exact effects.
Moderate Alcohol Consumption Reduces Risk of Ischemic Stroke : The Northern

Mitchell S.V. Elkind, Robert Sciacca, Bernadette Boden-Albala, Tanja Rundek, Manhattan Study Moderate Alcohol Consumption Reduces Risk of Ischemic Stroke : The Northern ISSN: 1524-4628 Copyright © 2005 American Heart Association. All rights reserved. Print ISSN: 0039-2499. Online Stroke is published by the American Heart Association. 7272 Greenville Avenue, Dallas, TX 72514 doi: 10.1161/01.STR. 0000195048.86810. 5b 2006, 37:13-19: originally published online November 23, 2005 Stroke http://stroke.ahajournals. org/content/37/1/13 located on the World Wide Web at: The online version of this article, along with updated information and services, is
Fabricated Memories Intentionally Fabricated Autobiographical Memories

Participants generated both autobiographical memories (AMs) that they believed to be true and intentionally fabricated autobiographical memories (IFAMs). Memories were constructed while a concurrent memory load (random 8-digit sequence) was held in mind or while there was no concurrent load. Amount and accuracy of recall of the concurrent memory load was reliably poorer following generation of IFAMs relative to AMs. There was, however, no reliable effect of load on memory generation times however IFAMs always took longer to construct than AMs. Finally, replicating previous findings, fewer IFAMs had a field perspective than AMs, IFAMs were less vivid than AMs, and IFAMs contained more motion words (indicative of increased cognitive load). Taken together these findings show a pattern of systematic differences that mark out IFAMs and they also show that IFAMs can be identified indirectly by lowered performance on concurrent tasks that increase cognitive load.