Miracle-dz/UniFAR-FTUs huggingface dataset:
Disrupting Dominant Discourses: A (Re)Introduction to Social Practice Theories of Adult Numeracy

The role of dominant discourse in constructing a deficit view of adult numeracy is examined, using reports from recent international surveys of adult skills as illustrative examples. Social practice theory is introduced as an alternative perspective for examining the ways adults actually use numeracy in their daily lives and work. This perspective suggests the test items used by large-scale surveys such as PIACC are only proxies for real-life numeracy skills, and that performance in such tests may misrepresent the numeracy skills of adults. Instead, social practice theory suggests that adults may have informal, situated numeracy practices that serve them adequately in their daily lives. However, it also draws attention to the difficulty of transferring mathematics from the classroom to everyday numeracy situations, while it recognizes that adult numeracy learners may be motivated by other goals than functional numeracy, such as personal fulfillment or a gateway qualification. Alternative approaches to classroom teaching for adult students are suggested which acknowledge and draw on adults’ rich and varied experiences; the challenges and tensions of such approaches are explored.
A Systematic Review of Psychotherapeutic Treatments for Common Mental Disorders in South Africa

s were read and studies suggestive of CMD treatment research were set aside Final 17 studies Third stage Studies were read in their entirety and selected if: • They used randomisation • A control arm • Adult participants Reference lists were checked for additional studies; none were found. First stage Key search words and phrases were entered into eleven databases via EbscoHOST; hand searches were conducted in The South African Journal of Psychology and The South African Journal of Psychiatry. Figure 1. Selection of studies
AAC and the National Curriculum in Mainstream Schools

AAC and the National Curriculum AAC in a Large Rural County: A Holistic Approach AAC Resources on the Internet CE Marking: The Basics Designing and Implementing the New ISAAC Website Progressing from Paper Towards Technology Role Model Training Course & 1Voice National Network Day The Efficacy of AAC: Towards Evidence-Based Practice What can we learn from drawing parallels between people who use AAC and those whose first language is not English? REGULAR COLUMNS
Cloning and Expression Profiles of Myf 5 Gene of Yak 1

To reveal the sequence characteristic and expression pattern of Myf5 gene in Jiulong yaks (Bos grunniens), a full-length cDNA of Myf5 was cloned from yak muscle tisssue by RT-PCR. The cDNA obtained was 821bp nucleotide (nt) long with an ORF of 768 bp which encoding 255 amino acids. Compared with cattle, sheep, pig, horse, human, pygmy chimpanzee, mouse, rat and dog, the homology of amino acid sequences were higher (899%), but lower in Zebrafish (60%). SQ RT-PCR analysis showed that Myf5 gene expression was observed only in longissimus muscle, but not be detected in heart, liver, kidney, spleen and adipose tissues. The expression level of Myf5 gene in longissium muscle of 0.5 and over 9 years old yaks was significantly higher than those of 3.5-5.5 years old yaks (p<0.05). These results suggest that Myf5 may play an important role in the regulation of muscle growth and development of yak.
SUBSONIC ULTRA-GREEN AIRCRAFT RESEARCH : TRANSONIC TRUSS-BRACED WING TECHNICAL MATURATION

In 2009-2010, Boeing conducted the first phase of a Subsonic Ultra-Green Aircraft Research (SUGAR) study (1) in response to a NASA solicitation. In this study, Boeing identified and analyzed advanced concepts and technologies for aircraft that would fly in the 2030-2035 timeframe. Large possible improvements in fuel consumption, emissions, and noise were identified and roadmaps developed for key technologies. In this first phase of study, the Transonic Truss-Braced Wing (TTBW) vehicle concept was identified as having high potential for significant progress toward program requirements. In Phase II (2) of the program, partner Virginia Tech exercised a multidisciplinary optimization environment with Boeing participation and developed a TTBW wing planform with potential for significant reduction in fuel consumption relative to an equivalently configured 2008 fleet technology aircraft. Detailed aeroelastic analysis and a test in the NASA Transonic Dynamics Tunnel (TDT) (3) determined that aeroelastic impacts to TTBW designs are both manageable and analytically predictable. Wing weight corresponding to aspect ratios approaching 20 do not negate the aerodynamic benefit of increased span. Investigation of the TTBW high-speed aerodynamics was accomplished under SUGAR Phase III (4). The design cruise Mach number of the configuration was held at Mach 0.75 to remain consistent with minimum fuel consumption studies in previous phases. The cruise drag of the final configuration is approximately 6% lower than anticipated in previous phases. The aerodynamic performance was validated in the 11-Foot Transonic Wind Tunnel facility of the Ames Unitary Plan Wind Tunnel (UPWT) complex. A Phase IV contract, focused on developing the outer mold line for both increased cruise speed (Mach 0.8) and high-lift system performance, was awarded in December of 2016. At the time of this writing, both the low and high-speed aerodynamics were proposed for testing at the Langley 14by 22-Foot Subsonic Tunnel and Ames 11by 11-Foot Transonic Wind Tunnel facility, respectively. Current performance predictions indicate the TTBW maintains an 8% fuel consumption advantage over an equivalently configured cantilever baseline.
Comparing Cache Latency and Energy Consumption Metrics in SRAM , eDRAM and STT-RAM Amongst Various Computer Architectures

The objective of this paper is to evaluate the differences between multiple computer architectures. It compares SRAM, eDRAM, and STT-RAM on the metrics of read cache latency and energy consumption. It introduces the concept of caches, what they are, why they are important and the three major cache design strategies: direct-mapped, fully associative and set associative cache designs. The paper also explains the memory mapping for each cache design strategy and provides a simple diagram for how it works. Some interesting configurations involve a hybrid SRAM/STT-RAM cache design, an FPGA-cased BRAM cache design and a utility-based cache partitioning design. Keywords—cache-latency, STT-RAM, energy consumption, eDRAM, L1/L2/L3 cache, dynamic memory, direct-mapped, setassociative, write disturbance, SRAM, miss ratio, hit ratio
Improving Syntactic Analysis by Parse Reranking

In this paper we report on computational linguistics experiments which use a treebank a corpus with syntactic annotation as the basis for deriving a context-free grammar as well as grammar rule frequencies which are employed by a probabilistic parser. Syntactic parsing is one of the core modules in natural language processing and an important preprocessing step in applications such as question answering.
BAT Algorithm Based Beamformer for Interference Suppression by Controlling the Complex Weight

In this study, an adaptive beamformer for pattern nulling of Uniformly Spaced Linear Array (ULA) antennas, which utilized BAT algorithm (BA) to suppress interferences, has been proposed. This pattern nulling has been obtained by controlling the complex weight (both the phase and the amplitude) of each array element. So as to verify the proposal, a number of scenarios of ULA pattern imposed the pre-set nulls have been carried out and compared with those of accelerated particle swarm optimization (APSO). The proposed beamformer has demonstrated the capability to place with precise single, multiple, and broad nulls at arbitrary interference directions, suppress side lobes, and maintain a predefined beamwidth. Moreover, the beamformer shows faster convergence and higher efficiency regarding null steering and side lobe suppression in pattern synthesis, as compared with an APSO based beamformer.
Object detection using LIDAR in maritime scenarios

The purpose of this thesis is to understand the methods that can be used to detect objects in the autonomous vehicle industry with the help of sensors, specifically LIDAR technology. This thesis will focus on the development of an object detection algorithm for maritime vessels which can function in different surroundings, such as low light and fog. For identifying objects from the data that LIDAR cameras produce, a clustering method is needed. This thesis will present how the data is used and analyzed, the challenges that emerge when parsing the data, and how the challenges are resolved with our object detection solution. Afterwards, we test the adaptability of our solution by running it in different scenarios, and lastly, we compare our results with an integrated LIDAR object detection application.
Natural history of Notodiaptomus amazonicus ( Wright , 1935 ) ( Copepoda , Calanoida , Diaptomidae ) in a protected urban area lake in Amazonia

The main goal of this work was to characterize the population structure of the copepod Notodiaptomus amazonicus present in an urban lake (Lake of Americanos) in a preserved area in Roraima's lavrado, Amazonia. This lake is the only remaining lake from a system of lakes that characterized the lavrado where the city of Boa Vista is located today, in the State of Roraima. Samples were collected six times during drought season in this region (October to March), covering three lake microhabitats: (i) margin with grasses and Cyperaceae, (ii) limnetic portion and (iii) margin without vegetation. Three guiding questions were addressed in this study, all related to the proportions of ontogenetic phases of copepods adults (males and females), copepodites (juvenile) and nauplii (larvae) present in the microhabitats. The results indicated three general patterns: i) when the ontogenetic phases were compared within and between the microhabitats, the copepodite and adult densities were higher than those of nauplii, ii) the densities of representative individuals in these ontogenetic phases suffered reductions as the water level fell in the lake, and iii) females with eggs spread themselves homogeneously among the microhabitats when the lake was at its maximum water level and were heterogeneously distributed when the levels dropped.
Holistic optimisation of noise reducing devices

The work presented in this paper is part of the QUIESST European project, in which one of the objective is to perform multi-objective holistic optimisations of noise reducing devices. We present here optimisation results concerning the extrinsic performances of noise barriers. The performances under interest are acoustical, economical and environmental. The variety of noise barriers considered is very wide, ranging from straight and flat barriers, to rough or capped barriers. A total number of nine noise reducing device families are optimised. Acoustical performances are obtained from numerical calculations: the Boundary Element Method (in 2D) is used to obtain relative sound pressure levels at a set of receivers in different situations. Theses situations include road and rail sources; rural and urban cases; flat, embanked and depressed topographies. The economical performance is calculated according to the maintenance cost of the different materials in use in the barrier. Four environmental performances indicators are considered; their calculation is based on a life-cycle assessment analysis. All performances are expressed as a gain (or loss) relative to a reference screen. It is shown that the optimisation procedure allows one to obtain a wide variety of optimised noise reducing devices, and hence provides a helpful design tool by allowing one to focus on specific parameters.
Document clustering using K-Means clustering in Hadoop using Map Reduce

The high dimensional information concerns expansive volume, mind-boggling, mounting informational indexes with various, self-governing sources. As the Data expanding radically every day, it is a noteworthy concern to oversee and compose the information productively. This developed the need for machine learning systems. With the Fast advancement of Networking, information stockpiling and the information gathering limit, Machine learning bunch calculations are presently quickly growing in all science and building spaces, for example, Pattern acknowledgment, information mining, bioinformatics, and proposal frameworks. In order to help the adaptable machine learning system with Map Reduce and Hadoop bolster, we are utilizing YARN Yet Another Resource Negotiator to deal with the High Voluminous information. Different Cluster issues, for example, Cluster propensity, partition, Cluster legitimacy, and Cluster recital canister be effectively overwhelmed by YARN bunching calculations. Mahout oversees information in four stages i.e., bringing information, content mining, bunching, arrangement, and community-oriented separating. In the proposed approach, different information writes, for example, Numbers, Raw Data and 3D-Images however, datasets are arranged in the few classifications i.e., Collaborative Filtering, Clustering, Classification or Frequent Itemset Mining.
Unmanned aerial vehicle–assisted node localization for wireless sensor networks

Wireless sensor networks have been proposed for many location-dependent monitoring applications. Existing localization methods often suffer low accuracy and high energy consumption. In response to the above limitations, this article introduces a novel localization approach by virtue of a miniature unmanned aerial vehicle based on our previous IEEE 1851 project, which is named as unmanned aerial vehicle–assisted node localization. The localization process contains three stages, which are node image collection, non-occluded node localization, and occluded node localization, respectively. In the first stage, a unmanned aerial vehicle carrying Global Positioning System shoots the deployment area to collect node images. Then, in the non-occluded node localization phase, the convolutional neural network technique is employed to identify the nodes. And, their positions are determined through the graph matching or Bayesian model averaging approach. Finally, the localized non-occluded nodes start to act as the role of anchors. And, an improved received signal strength indicator–based algorithm is further designed to localize the occluded nodes. Extensive simulations are conducted to verify the effectiveness, in which the accuracy increases by 10%–30% compared with the state of the art methods. Moreover, we implement a prototype localization system with 49 CC2430 nodes and a miniature unmanned aerial vehicle. Results confirm its effectiveness for outdoor sensor networks.
Metadata of the chapter that will be visualized in SpringerLink

Nowadays, cybersecurity can be considered as an important aspect of the policy of any state in the conditions of the existence of a global information space, widespread communication and interaction through the Internet. For its adequate provision, they develop appropriate technologies of information protection, legislation at the state level, hardware and software, etc. The article focuses on the development of software tool for intercepting and analyzing outbound TCP-connections (the sniffer); there is a description of the stages of its development and the requirements for use; there is also a short manual for a user. Functional capabilities of the developed software tool allow to automate some of the system administrator’s functional duties. Among them, we should mention the interception, interpretation and storage of data transmitted over the network with 32-bit programs. Analysis of the received data packets will allow to analyze the suspicious activity of some programs or to identify individual network problems. The access to the software functions is implemented with the main, context menu and hot keys. The main language for the development was chosen the C++. To develop a user interface, a Qt library was used. The programming language Lua was used as a tool for writing and executing scripts.
OF THE MONTH octopus : a tool for the application of time-dependent density functional theory

We report on the background, current status, and current lines of development of the octopus project. This program materializes the main equations of density-functional theory in the ground state, and of time-dependent density-functional theory for dynamical effects. The focus is nowadays placed on the optical (i.e. electronic) linear response properties of nanostructures and biomolecules, and on the non-linear response to high-intensity fields of finite systems, with particular attention to the coupled ionic-electronic motion (i.e. photo-chemical processes). In addition, we are currently extending the code to the treatment of periodic systems (both to one-dimensional chains, two-dimensional slabs, or fully periodic solids), magnetic properties (ground state properties and excitations), and to the field of quantum-mechanical transport or “molecular electronics. ” In this communication, we concentrate on the development of the methodology: we review the essential numerical schemes used in the code, and report on the most recent implementations, with special attention to the introduction of adaptive coordinates, to the extension of our real-space technique to tackle periodic systems, and on large-scale parallelization. More information on the code, as well as the code itself, can be found at http://www.tddft. org/programs/octopus/.
How Many Steps/Day Are Enough? Preliminary Pedometer Indices for Public Health

Pedometers are simple and inexpensive body-worn motion sensors that are Abstract readily being used by researchers and practitioners to assess and motivate physical activity behaviours. Pedometer-determined physical activity indices are needed to guide their efforts. Therefore, the purpose of this article is to review the rationale and evidence for general pedometer-based indices for research and practice purposes. Specifically, we evaluate popular recommendations for steps/day and attempt to translate existing physical activity guidelines into steps/day equivalents. Also, we appraise the fragmented evidence currently available from associations derived from cross-sectional studies and a limited number of interventions that have documented improvements (primarily in body composition and/or blood pressure) with increased steps/day. A value of 10 000 steps/day is gaining popularity with the media and in practice and can be traced to Japanese walking clubs and a business slogan 30+ years ago. 10 000 steps/day appears to be a reasonable estimate of daily activity for apparently healthy adults and studies are emerging documenting the health benefits of attaining similar levels. Preliminary evidence suggests that a goal of 10 000 steps/day may not be sustainable for some groups, including older adults and those living with chronic diseases. Another concern about using 10 000 steps/ day as a universal step goal is that it is probably too low for children, an important target population in the war against obesity. Other approaches to pedometer-determined physical activity recommendations that are showing promise of health benefit and individual sustainability have been based on incremental improvements relative to baseline values. Based on currently available evidence, we propose the following preliminary indices be used to classify pedometer-determined physical activity in healthy adults: (i) <5000 steps/ day may be used as a ‘sedentary lifestyle index’
Can the Laffer curve for consumption tax be hump-shaped?

This paper characterizes the shape of the La ffer curve for consumption tax analytically. The Laffer curve for consumption tax can be hump-shaped if the utility function is an additively separable one in consumption and labor supply. Conversely, it cannot be hump-shaped if the utility function is the one employed by previous researchers. The di fference in the utility functions has quantitatively significant effects on the peak tax rates of the La ffer curves for labor and capital income taxes.
An Effective Image Annotation using Content Based Image Clustering

Clustering is the form of unsupervised classification which aims for grouping the datasets based on their similarities and its characteristics. The advanced growing technology in image capturing devices leads to large collection of images in the web. CBIR systems are an active research area developed for effective image retrieval from the large collection of images. Clustering algorithms optimizes the image search in the large databases and improves the efficiency of image retrieval system. For each clustering technique the retrieval accuracy is computed by comparing the results of retrieval without clustering against results of retrieval with clustering. Keywords—CBIR, image clustering, retrieval accuracy, Image Annotation,Precision and Recall.
Title Strategies for recruitment to a population-based lung cancer prevention trial : The CARET experience with heavy smokers Permalink

The Beta-Carotene and Retinol Efficacy Trial tested the effect of the combination of/]-carotene (30 mg) and retinyl palmitate (25,000 units) daily on the incidence of lung cancer in high-risk individuals. In study centers located in Seattle, WA; Portland, OR; and Irvine, CA, we recruited current and recent ex-cigarette smokers, aged 50-69 years. Our primary method of recruitment was by mailing study information and eligibility questionnaires to age-selected health insurance subscribers. A total of 1,216,549 subscriber households were contacted, which resulted in 16,449 enrollments and 12,184 randomizations. Other methods of recruitment yielded 1421 enrollments and 1002 randomizations. Seventy-four % of those participants who enrolled in the 3-month placebo run-in were randomized. The major reasons for nonrandomization once subjects were enrolled were: becoming ineligible (13%), concern about or development of side effects attributed to the study vitamins (18%), loss of interest or being too busy (23 %), and not showing up at the appointed time or not willing to come to the study center (23 %). Here, we discuss the reasons for nonparticipation and for subjects leaving the trial prior to randomization and possible modifications of trial design and procedures to address these problems. This recruitment approach provided a constant flow of potentially eligible participants, screened out many ineligible and uninterested persons prior to the scheduling of a study center visit, and ensured Received 8/27/97; revised 2/5/98; accepted 2/23198. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. 1 Supported by National Cancer Institute Grants U01 CA 63673 (Coordinating Center), U01 CA 52596 (Irvine), and U01 CA 48203 (Portland). 2 To whom requests for reprints should be addressed, at Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, MP859, P.O. Box 19024, Seattle, WA 98109. Phone: (206) 667-4990; Fax: (206) 667-5964; E-mail: ggoodman@ cclink.fhcrc. org. randomization of committed participants. A major limitation of this study was that the pool of minorities that was reached was small.