Miracle-dz/UniFAR-FTUs huggingface dataset:
Employer Perceptions of Oral Communication Competencies Most Valued in New Hires as a Factor in Company Success

This article presents findings of a 2014 survey of 72 U.S. employers asking: Which oral communication skills are most utilized daily by new hires? Which oral skills are most important to company success? The study utilized Qualtrics to administer a mixed-methods, 12-question survey to employers of various sizes and across various industries. Findings show that employers rank (a) proper grammar use, (b) team communication, (c) ability to engage in conversation, (d) meeting participation, and (e) ability to speak well using the telephone as the most valued oral competencies for new hires as a factor in company success.
Generating the missing links for semantic relations within Wiktionary

In many cases, a single presentation of a term may carry multiple meanings. Wiktionary provides a way for viewing the meanings of the different terms it stores in the form of senses. It also provides semantic relations. However, Wiktionary, in its current form, contains semantic relations linking Wiktionary entries at the term level. Links for semantic relations connecting entries at the word sense level do not currently exist in Wiktionary. In this paper, we propose a novel method for generating a new type of links for semantic relations within Wiktionary. This is effectively applied through aligning the source words senses for semantic relations in Wiktionary with their corresponding target word senses. We use surface-level features that rely only on the structure and content of Wiktionary for completing this task without the aid of any external lexical or knowledge bases. We present the details of the method and how it was implemented. Additionally, we describe the evaluations that we performed and illustrate the competitive results we obtained, especially when compared against other systems. Our findings indicate that our system outperforms the baselines and performs similar to state-of-art systems without requiring access to external online resources or training data to run.
A novel class of uplink OFDM/SDMA algorithms for WLAN

Wireless LANs (WLANs) still offer low capacity compared to conventional wired LANs. The design of high-capacity WLANs is impeded mainly by the impairments of the indoor channel and by bandwidth and transmit-power restrictions. To mitigate these, Vandenameele et al. (1999) proposed an OFDM/SDMA approach that combines the advantages of orthogonal frequency division multiplexing (OFDM) with those of space division multiple access (SDMA). However, the comparison of two uplink OFDM/SDMA algorithms, respectively based on the minimum-mean-squared-error and maximum-likelihood criterion, revealed a serious performance and complexity gap between them. In this paper, we propose a novel class of uplink OFDM/SDMA algorithms that bridge this gap. To this end, we introduce per-carrier successive interference cancellation and interference-dependent state insertion. Compared to the minimum-mean-squared-error approach, a performance gain of 10 dB is obtained for a BER of 10/sup -3/ This improvement comes at less than three times the initial implementation cost.
Effective Uses of Computer-Based Software in Teaching the Listening Skill in ESL

The primary concern of the present study was to investigate the effective uses of computer-based software in teaching the listening skill in English as a second language (ESL) at higher education institutions. It aimed to find out if computer-based software can be used as a teacher Replacement or Supplement, either at the beginning or end of the listening lesson. In order to assess the effect of CALL-use, an Experimental Study was carried out. 80 post-SPM respondents enrolled in an Intensive English course at UniSZA (formerly known as KUSZA and UDM) were chosen for this study. Two achievement post-tests were administered for data collection. The data results were analysed using SPSS . The results of the study revealed that the way computerized material was used made a considerable effect on the achievement of the students. When it was used as a supplement at the beginning of the lesson, the students scored better results than those students received computerized treatment at the end of the lesson. When it was used as a teacher replacement, the students did not score well in the tests. The results also showed that noncomputerised treatment was effective for teaching the listening skill.
A Novel Architecture for Supply-Regulated Voltage-Controlled Oscillators

Voltage-controlled oscillators (VCOs) are critical components in the design of phase-locked loops (PLLs) for a variety of applications such as high speed digital communication systems, on-chip clock generators and RF transceivers. VCOs experience large supply noise variations due to digital switching currents. This degrades the jitter performance of the VCO, thus limiting system performance. Supply noise is a major concern in ring oscillators in particular, since the frequency of a ring VCO is highly dependent on the supply voltage. This thesis presents a novel power supply insensitive voltage controlled ring oscillators. This thesis also discusses some previously adopted VCO buffer stage designs implemented to achieve high supply noise rejection, and compares their results with those achieved with the proposed architecture. Based on the concepts developed in this thesis, a differential ring oscillator was designed in a 0.13-um CMOS technology, to demonstrate the robustness against supply fluctuation. The VCO operates from 236.66 MHz to 373.33 MHz, and displays complete rejection to power supply noise.
Betting Two Patterns against Each Other

We present a technique for computing the probability that a specific pattern of successes and failures is generated randomly before another such pattern, thus winning the corresponding game. The program we build for this purpose finds the mean and standard deviation of the number of trials needed to complete one round of such a game. It can be used to maximize the probability of winning a game by choosing the best possible pattern, and also by adjusting the probability of a success. Finally, we verify our theoretical results by a Monte Carlo simulation.
Potential Assessment of ANNs and Adaptative Neuro Fuzzy Inference systems (ANFIS) for Simulating Soil Temperature at diffrent Soil Profile Depths

Objective: Soil temperature serves as a key variable in hydrological investigations to determine soil moisture content as well as hydrological balance in watersheds. The ingoing research aims to shed lights on potential of artificial neural networks (ANNs) and Neuro-Fuzzy inference system (ANFIS) to simulate soil temperature at 5-100 cm depths. To satisfy this end, climatic and soil temperature data logged in Isfahan province synoptic station were collected. Methods: The ANNs structure was designed by one input layer, one hidden layer and finally one output layer. The network was trained using Levenberg-Marquardt training algorithm, then the trial and error was considered to determine optimal number of hidden neurons. The number of 1 to 13 neurons were evaluated and subsequently considering a trial and error test and model error, the most suitable number of neuron of hidden layer for soil depths 5, 10, 20, 30, 50 and 100 cm was found to be 3, 4, 5, 4, 5 and 3 neurons respectively. Clustering radius was set as 1.5 for subtractive clustering algorithm. Results: Results showed that estimation error tends to increase with the depth for both ANNs and ANFIS models which may be attributed to weak correlation between the input climatic variables and the soil temperature at increasing depth. Result suggested that ANFIS approach outperforms ANN in simulating soil horizons temperature.
A systems-science-based knowledge explanation method

Systems Science principles are the universal fundamental philosophical principles for analyzing, understanding, reforming and perfecting the objective world. This paper presents a Systems-Science-Based Knowledge Model (SSBKM) to establish a more general knowledge structure model. It can be regarded as a development of frame representation for discovering and constructing slot structures as well as the frame structures. With this model the paper also presents a System-Sciences-Based Object-Oriented Analysis method (SSBOOA), which is a strategy to find and determine object classes and class structures, the relations between object instances of different classes, not to just explain classes. Finally, the paper illustrates knowledge analysis and computerizing (synthesizing) steps in an example of SSBKM of cognitive psychology-based CAI Network for Teaching Middle School Mathematics.
Local Dependencies for near-duplicate retrieval.

Image representation plays an important part in many real-world multimedia applications. Over the past few years, great progresses have been achieved in this area. For example, Bag-of-Words (BOW) model is widely used in object recognition and image retrieval. However, these models do not consider the spatial information sufficiently and have severely limited descriptive ability. It is obvious the both objects and scenes have their own structures. Treating local features as independent factors will lose information, thus result in bad results. Initial researches have shown that spatial constrains play an important role in a good model for image recognition and retrieval. In this report, we overview existing work and then present our proposed methods for image representation based on spatial relations between local features. First, we introduce the coherent phrase model which incorporates the coherency of local regions. In this model, the local regions are characterized by visual phrase of multiple descriptors instead of visual word of single descriptor. We propose two types of visual phrase to encode the coherency in feature and spatial domain respectively. The proposed model reduces the number of false matches by using this coherency and generates sparse representations of images. Second, we analyze the local dependencies among the descriptors in the Spatial-Scale Space (S-Cube). Such local dependencies in Spatial-Scale Space (S-Cube) encodes not only visual appearance but also the spatial and scale co-occurrence of them. Over the cubespace of neighboring spatial locations and multiple adjacent scales, local dependencies are exploited to form the new image representation, which is invariant to spatial transformation and scale change. Also, we extend the spatial dependency into the temporal-spatial domain. Stratification-based Keyframe Cliques (SKCs) are proposed for video description, which are more compact ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library
Modelling Communications in Cache Coherent Systems

The aim of this work is to provide an analytical model to simplify the parallel algorithm design in cache coherent systems. The current trend in actual processors is to increase the number of cores per chip, motivated by the stop of frequency scaling, which makes it crucial to design efficient parallel solutions for shared memory. Multi-core processors are standard in current commodity machines and many-core accelerators are becoming increasingly popular. On the one hand, the GPUs (Graphical Processing Units) are being widely used to accelerate general purpose applications. However, the use of GPUs forces a change in the programming paradigm from latency-optimized to stream-optimized computing. On the other hand, projects like Intel MIC (Many Integrated Core) Architecture intend to provide an Intel x86 based accelerator that allows the use of traditional techniques in order to take advantage of many-core parallelism. The latter group of accelerators usually provide cache coherency protocols to increase programmability, as multi-core processors do, and, generally, the only way to communicate cores in these architectures is relying on loads and stores to common memory locations and the cache coherency protocol. In this scenario, we have developed a communication model to make it possible to design optimized algorithms in cache-coherent systems, and with this purpose, we have made a preliminary study of current multi-core architectures (Intel Sandy Bridge) and the recently released Intel Xeon Phi, which is the most scalable among the x86 based architectures. We provide one-line communication models for these architectures and, then, we focus on the features of the Intel Xeon Phi to develop a comprehensive communication model and prove that it allows to design complex exchange algorithms in a 60-core environment. The architectures described in this Section are one of the last Intel multi-core system (Sandy Bridge) and the most scalable Intel x86 based coprocessor (Intel Xeon Phi). The Intel Xeon Phi coprocessor is a many-core system based on the Intel MIC (Many Integrated Core) architecture. The current commercial Xeon Phi (5110P) has 60 simplified Intel CPU cores running at 1056 MHz and supports 4 threads per core with hyperthreading (thus, 240 threads in the die). Each core has a vector unit with 64 byte registers featuring a new vector instruction set known as Intel Initial Many Core Instructions (IMCI). The cache memory in each core is arranged in a 32 kb L1 data cache, 32 kb L1 instruction cache, and a private 512 …
Performance of optical fibers in space radiation environment

The use of optical fibers in low earth orbiting (LEO) satellites is a source of concern due to the radiation environment in which these satellites operate and the reliability of devices based on these fibers. Although radiation induced damage in optical fibers cannot be avoided, it can certainly be minimized by intelligent engineering. Qualifying fibers for use in space is both time consuming and expensive, and manufacturers of satellites and their payloads have started to ask for radiation performance data from optical fiber vendors. Over time, Nufern has developed fiber designs, compositions and processes to make radiation hard fibers. Radiation performance data of a variety of fibers that find application in space radiation environment are presented.
Seroprevalence of Helicobacter pylori Infection and Risk Factors among Asymptomatic Subjects in Delta State, Nigeria

Aim: The study aimed at evaluating the seroprevalence of H. pylori infection and its associated risk factors in a cross-section of asymptomatic adult population in Niger-Delta, Nigeria. Methodology: 408 apparently healthy volunteers, aged between 18 - 87 years were recruited for this study. Blood samples were collected from participants and analyzed for H. pylori antibody (IgG) qualitatively with Combo rapid kits and quantitatively with Accu-Bind ELISA Kits. Results: The overall prevalence of Helicobacter pylori colonization in 408 asymptomatic adults was 52.5% (n = 214) and 48.3% (n = 197) by qualitative (Combo rapid kits) and quantitative (Accu-Bind ELISA Kits) serological test methods respectively. H. pylori infection did not differ statistically between genders (p = 0.962) and among age groups (p = 0.185). In addition, multivariate logistic regression indicated that sex and age were not associated with risk of H. pylori. However, participants from Delta Central were at greater risk (OR = 1.89; p = 0.014) of H. pylori infection compared with those from Delta South, but those from Delta North were not at greater risk of infection compared with those from Delta South (p = 0.476). Conclusion: This study indicated an intermediate seroprevalence of H. pylori among asymptomatic adults in Delta state, Nigeria. The prevalence of H. pylori infection was linked to geographical regions but not with sex and age.
THE USE OF AUTHENTIC MATERIALS IN THE TEACHING OF READING

Reading means different things to different people, for some it is recognizing written words, while for others it is an opportunity to teach pronunciation and practice speaking. However reading always has a purpose. It is something that we do everyday, it is an integral part of our daily lives, taken very much for granted and generally assumed to be something that everyone can do. The reason for reading depends very much on the purpose for reading. The use of authentic materials in the classroom is discussed, with the student benefiting from the exposure to real language being used in a real context. Other aspects which prove positive when using authentic materials are that they are highly motivating, giving a sense of achievement when understood and encourage further reading. They also reflect the changes in the use of language, there is a wide variety of text types, they are also very versatile (they can be used in different ways to promote different skills) and can be used more than once as well as be updated. Anything can be used as authentic material but for developing reading one of the most useful resources is the Internet, with large amounts of varied material being easily accessible. One of the main reason for using authentic materials in the classroom is once outside the “safe”, controlled language learning environment, the learner will not encounter the artificial language of the classroom but the real world and language how it is really used. The role of the teacher is not to delude the language learner but to prepare him, giving the awareness and necessary skills so as to understand how the language is actually used. ______________
Very Small Embryonic Like Stem Cells: Fact or Not?

The plasticity of stem cells isolated from cord blood it is already known. In 2004 Kogler et al., found a non-haematopoietic stem cell population of umbilical cord blood called unrestricted somatic stem cells capable to differentiate into all three germ layers [1]. Recently researchers worldwide they found stem cells isolated from umbilical cord blood that expressed early transcription factors found typically in the embryonic stem cells [2]. These cells are first described by Kucia et al. 2006, in a fraction of murine bone marrow stem cells [3], and named Very Small Embryonic Like Stem cells (VSELS). VSELS are very small (2-4 μm) CD34 and CD45 negative stem cells that strongly express CXCR4 Sca-1+ antibody and embryonic transcription factors as OCT and Nanog. These transcriptions factors are considered as markers of mouse and human embryonic stem cells playing a basic role in stem cell pluripotency [4-6]. VSELS were also described in several murine organs as brain, liver, kidney, heart, and skeletal muscles [7]. Recently some investigators found these cells in mobilized peripheral blood in patient after stroke [8] and after acute myocardial infarction [9]. The presence of very small embryonic stem cells has also been reported in adult human gonads [10]. The investigators thought that these cells represent a primitive population of stem cells that maybe plays a major role in regenerative medicine and in stem cells therapies in general.
Toward webscale, rule-based inference on the semantic web via data parallelism

This thesis considers the problem of scaling rule-based inference to large quantities of RDF data found on the Semantic Web. The general approach is one of data parallelism, that is, dividing data among processors such that the collective results of each processor's individual inference is the same as though inference was performed sequentially. In this way, theoretically speaking, more processors can be added to accommodate more data. The problem is first considered from the perspective of the operational semantics of inference with production rules. The question is asked, under what conditions is embarrassingly parallel inference guaranteed to be correct? Sufficient conditions are determined and proven at both a fine-grained level close to the basic operational semantics and a more coarse-grained level that applies directly to rules. The conditions are placed on the relationship between rules and distribution schemes, that is, the way in which data is assigned to processors. Then, a special class of distribution schemes is considered called replication schemes. Replication schemes require that individual data either be replicated to all processors or placed arbitrarily on some processor(s). The aforementioned conditions are then reformulated to consider replication schemes which reveals that testing the conditions for replication schemes is reducible to satisfiability (SAT), and not only SAT but 2SAT. An augmented version of this reduction which is a reduction to 3SAT also accounts for the possibility to eliminate some rules in order to improve parallelization. These reductions along with a proposed methodology for restricting rules are used to derive restricted versions of the RDFS and OWL2RL rules that are amenable to parallel inference. Finally, an evaluation is performed that tests these theoretical findings for restricted versions of RDFS and OWL2RL inference on two large, well-known datasets exceeding a billion triples: LUBM10K and BTC2012. The LUBM10K dataset represents an optimistic case, meaning that if performance is poor with LUBM10K, then it will likely be poor on many datasets. On the other hand, the BTC2012 dataset represents a pessimistic case, meaning that if performance is good with BTC2012, then it is likely that performance will be good with other datasets. While the usual scalability metrics are used (speedup, efficiency, etc.), the Karp-Flatt metric reveals that inference is almost entirely parallel for LUBM10K data, demonstrating the practical feasibility of the theoretical findings. However, for BTC2012, it must be ensured that there is sufficient memory and load-balancing to achieve this high level of scalability on distributed memory architectures. Regardless, for feasible cases, very low times are achieved for LUBM10K (seconds) and BTC2012 (minutes).
Literacy Strategies for Improving Mathematics Instruction.

This particular Literacy Strategies For Improving Mathematics Instruction Download PDF start with Introduction, Brief Session till theIndex/Glossary page, look at the table of content for additional information, when presented. It's going to focus on mostly about the above subject together with additional information associated with it. Based on our directory, the following eBook is listed as MFWMDFAUS-PDF13-10, actually published on Sun Sep 11 2016 04:59:13 GMT-0400 (EDT) and this take about 73812 KB data sizing.
Commercial Software Programs Approved for Teaching Reading and Writing in the Primary Grades

Abstract This article reports the results of a systematic and comprehensive evaluation of the suitability of 13 commercially available, authorized software programs for teaching reading and writing in the primary grades. These programs were assessed on interface design, content, instructional design, whether manufacturers’ educational claims were supported by the programs, and appropriateness to supplement reading and writing instruction. Regardless of date of publication, most software programs were judged to be noninstructional, in that they did not track student progress, provide feedback, or adapt to suit student needs. Many used decade-old interface design and program functions as well as content features, thereby limiting their usefulness as educational tools.
Citing and Building on Meta-Analytic Findings

Meta-analysis is commonly used to quantitatively review research findings in the social sciences. This article looks at what happens next, after a meta-analysis is published. The authors examine how meta-analytic findings are cited in subsequent studies and whether the citing authors take full advantage of the information meta-analyses provide. A review of 1,489 citations to meta-analyses in 319 empirical studies published in three journals over two decades indicates that the frequency of citing meta-analyses is accelerating. An analysis of citing practices indicates that authors use data for a variety of purposes in subsequent research studies. However, the citing studies often underreported important aspects of meta-analytic data, and additional opportunities exist to build on the data provided by meta-analytic reviews.