Miracle-dz/UniFAR-FTUs huggingface dataset:
10th International DAAAM Baltic Conference

Most optimal mechanical layout of an electrical generator in a wind turbine is still under investigation. In current work, a novel lattice passed solution is presented together with corresponding design principles and optimization procedure. Finite element analysis and response surface modelling are used to create the mathematical model of the structure and carry out the design investigation and optimization. Generator layout is modelled at two turbine capacity levels and compared to a similar sheet metal structure. Results prove the suitability of the offered procedure and superiority of the lattice concept in terms of the generator structural mass.
EFFECT OF SALICYLIC ACID AND ABSCISIC ACID ON MORPHO-PHYSIOLOGICAL AND ANATOMICAL CHARACTERS OF FABA BEAN PLANTS (Vicia faba L.) UNDER DROUGHT STRESS

Two pot experiments were carried out during the two winter seasons of 2013/2014 and 2014/2015 under greenhouse conditions at the Department of Agricultural Botany, Faculty of Agriculture, Kafrelsheikh University, Egypt to investigate the influence of salicylic acid (1 mM) and abscisic acid (0.1 mM) on morpho-physiological characters and anatomical structure as well as yield characters of faba bean plants under drought stress. As a result of stress only, all studied morphological and anatomical characters as well as chlorophyll concentrations and yield components were decreased, whereas, electrolyte leakage was increased under drought stress. However, application of salicylic acid (SA) and abscisic acid (ABA) under drought stress significantly improved or increased all the mentioned characters except electrolyte leakage which was decreased. Application of SA and ABA under drought stress enhanced the anatomical characters of faba bean stem and leaflets, for instance, stem diameter, number of vessels/bundle in stem as well as leaf lamina thickness and average diameter of xylem vessel. Accordingly, the exogenous application of SA and ABA lead to minimize the harmful effect of drought stress and improve the morpho-physiological characters, stem and leaflets anatomy as well as yield components of faba bean plants even under drought stress.
INFLUENCE OF HEAT TREATED ADJUNCT CULTURE ON THE QUALITY OF EDAM CHEESE MADE FROM RECONSTITUTED WHOLE MILK POWDER

The main objective of this study was to improve the yield and quality of Edam cheese by application of reconstituted whole milk powder (WMP) and heat treated mesophilic adjunct culture of mesophilic bacteria to lactic starter. Edam cheese treatments Ta, Tb and control Tc were made by the traditional method from (WMP). Chemical properties were determined during manufacture and ripening. During ripening moisture, fat on dry matter basis, pH values and lactose contents decreased, while fat and protein content and fractions of nitrogen {(total nitrogen (TN), soluble nitrogen (SN), non protein nitrogen (TCA-SN), peptide–N and amino acid N (PTASN)} increased. Protein degradation, the amount of SN in cheese treatments Ta and Tb from the beginning until the end of ripening were higher than that of control cheese (Tc). On the other hand, TCA-SN content did not differ among the three cheese treatments when fresh and increased slowly during ripening. The PTA-SN of cheese were increased progressively during ripening. Organoleptic properties showed that cheese Ta treatment gained the highest score 17.8 points followed by cheese Tb treatment (17.6) points whereas, Tc cheese treatment had the lowest score 15.4 points.
AUSTRALIA, ENGLAND AND NEW ZEALAND

This paper presents the findings of a three-way comparison of teachers and school administrators in Australia, England, and New Zealand. The Teacher 2000 Project examined teachers' feelings about and reactions to teaching. Researchers used a seven section, self-report questionnaire that included items on demographics, orientation to teaching, satisfaction/dissatisfaction with teaching, time devoted to teaching tasks, commitment to teaching, and mental stress. There also was an open ended question for making comments about teaching. A total of 5,722 surveys were sent to elementary and secondary level public school teachers and administrators in Australia, England, and New Zealand. There were 892 Australian respondents, 543 English respondents, and 565 New Zealand respondents. Data analysis indicated that there was significant commonality in the sources and strength of teacher and administrator satisfaction and dissatisfaction, commitment and orientation to teaching, and mental stress (though there were some contextual differences between countries). Teachers from all three countries keenly felt: the influences of educational change; increased social, academic, and administrative responsibilities for schools; increased community criticism; and lower teacher status. Teachers and administrators also found their core business of facilitating student learning and their professional self-growth to be highly satisfying. (Contains 6 tables and 15 references.) (SM). ******************************************************************************** . * Reproductions supplied by EDRS are the best that can be made from the original document. ******************************************************************************** AMERICAN EDUCATIONAL RESEARCH ASSOCIATION
FIELD EVALUATION OF CERTAIN INSECTICIDES AGAINST SOME INSECT PESTS INFESTING ORANGE TREES

The present study aimed to evaluate the efficacy of Thiamethoxam, Imidacloprid, Spirotetramat, Sulfoxaflor, Buprofezin, Dimethoate, Phosmet and Mineral oil against Phyllocnistis citrella Stainton, Planococcus citri (Risso), Lepidosaphes beckii (Newman) and Ceroplastes floridensis Comstock infesting orange trees (Citrus sinensis L. (Rutacea)) under field conditions. The experiments were conducted in the Experimental Farm, Faculty of Agriculture, Mansoura University, Dakahlia Governorate, Egypt. The obtained results showed that the highest effective treatment on P. citrella was that of Thiamethoxam (the mean reduction percentages was 82.9%) followed by Imidacloprid (78.6%), Dimethoate (76.6%) and Sulfoxaflor (76.2%). Dimethoate ranked the highest treatment against P. citri followed by Imidacloprid and Thiamethoxam, where their general mean reductions reached 89.9, 82.9 and 82.3%, respectively. With respect to L. beckii, Dimethoate ranked the highest treatment followed by Phosmet which recorded general mean reductions of 90.8 and 90.7%, respectively. Also, Dimethoate was the highest insecticide against C. floridensis (the general mean reduction percentages was 90.2%) followed by Thiamethoxam (86.9%) and Imidacloprid (86.1%).
Preparation and Characteristics of Microencapsulated Lauric Acid as Composite Thermal Energy Storage Materials

A novel microencapsulated phase change material was prepared by sol-gel method using lauric acid (LA) as core material and titanium dioxide (TiO2) as shell material. The composites were characterized by field emission scanning electron microscope (FE-SEM), Fourier transformation infrared spectrometer (FT-IR), differential scanning calorimeter (DSC) and thermogravimetric analyzer (TGA). The results of the FE-SEM and FT-IR indicated that LA was well coated in the shell of TiO2 and no chemical reaction occurred between them. The results of the DSC denoted that the composites with 43.5 % encapsulation ratio of the LA melted at 44.39 ℃ with the melting enthalpy of 67.54 J/g and solidified at 43.64 ℃ with the solidification enthalpy of 65.17 J/g. The results of the TGA signified that the thermal stability and fire resistance of the microcapsules were greatly enhanced under the protection barrier of TiO2. The thermal decomposition of the microencapsulated LA with TiO2 shell hardly occurred under 200 ℃. That is to say, the composites possess good thermal stability in the operating temperature range. In conclusion, the prepared microencapsulated composites can be incorporated into solar energy storage like solar air heaters and into electronic devices as heat sinks.
Fast Algorithms for phase diversity and phase retrieval

In this paper we develop the mathematical foundation of, and numerical solution techniques for the problem of deconvolution and wavefront reconstruction. This problem is fundamentally ill-posed. Following the work of previous investigators, this issue is addressed by solving an approximation problem using regularized least-squares and Fourier transform techniques. We show that steepest descent optimization methods applied to a least-squares objective is equivalent to a specific implementation of an iterative transform algorithm. The convergence properties of the method can be derived from standard results in the optimization literature. Convergence is accelerated by using limited memory techniques with trust-regions. CPU time for the method is reduced by using multi-resolution techniques. Numerical experiments on simulated data suggest that the method is both efficient and robust. Correspondence should be sent to the first author at the Department of Applied Mathematics Box 352420 University of Washington, Seattle, WA 98195. EMAIL: russell@amath.washington. edu The first author’s work was supported by the NASA GSRP grant NGT5-66 Department of Mathematics, University of Washington, Seattle, WA 98195 NASA Goddard Space Flight Center, Code 930.5, Greenbelt MD 20771
Compressed Sensing and Applications by using Dictionaries in Image Processing

Compressed Sensing is a rapidly growing field which is based on sparse and redundant representations. It becomes a centre of attraction for research among the people working in the applied mathematics, statistics and various engineering fields. For the representation of the compressible signal, the compressed sensing or compressive sensing theory is useful with the Nyquist rate. The research work on the compressive sensing theory with its new strategies or facts, algorithms, and its applications which are used in Image processing with the efficiently better results than the existing ones is the new trend of mathematical applications. Also the other way to deal with this type of problems is to use the concept of compression by which the storage capacity, calculations and time are more used than the concept of compressed sensing in image processing. So to overcome this limitations, we have to move ahead to understand and derive another technique which takes less timing, less storage capacity, less calculations than Compression technique. This can be done by Compressed Sensing technique. But how it is better than the other techniques or methods to get the required or approximate result of signal is discussed in this research work.
The Impact of Corporate Social Responsibility and Creating Shared Value Activities on Corporate and Product Evaluation

The Impact of Corporate Social Responsibility and Creating Shared Value Activities on Corporate and Product Evaluation Dongmin Lee Program in Regional Information Department of Agricultural Economics and Rural Development Seoul National University Corporate social responsibility (CSR) has been discussed since at least the 1950s. Recently, more and more companies take a strategic approach to their social activity, which is reinforced by the concept of creating shared value (CSV) suggested by Porter and Kramer. This study examines the effect of CSV by comparing it with an existing corporate social activity, CSR on consumer response. As corporate prosocial behavior on consumer response shows mixed results, the present study uses corporate stereotype as a moderator. The result showed that the types of corporate social activity (CSR vs. CSV) have the same influence on consumer response. However, this main effect could be moderated by “corporate stereotype. ”
Learning Representations for Computer Vision Tasks

Learning representations for computer vision tasks has been the holy grail for the vision community for long. Research in computer vision is dedicated towards developing machines that understand image data, which takes a variety of forms such as images, video sequences, views from multiple cameras, high dimensional data from medical scanners and so on. Good representations of the data intend to discover the hidden structure in it; better insights into the nature of the data can help choose or create better features, learn better similarity measures between data points, build better predictive and descriptive models, and ultimately drive better decisions from data. Research into this field has shown that good representations are more often than not task specific: there is no single universal set of features that solves all the problems in computer vision. Consequently, feature learning for computer vision tasks is not a problem, rather a set of problems, a full fledged field of research per se. In this thesis, we seek to learn good, semantically meaningful representations for some of the popular computer vision tasks, such as visual classification, action recognition and so on. We study and employ a variety of existing feature learning approaches, and devise novel strategies for learning representations on these tasks. Additionally we compare our methods with the traditional approaches. We discuss the design choices we make, and the effects of varying the parametric variables in our approaches. We provide empirical evidence to show our representations are better at solving the tasks at hand than the traditional ones. To solve the task of action recognition, we devise a novel PLS kernel that employs Partial Least Squares (PLS) regression to derive a scalar measure of similarity between two video sequences. We use this similarity kernel to solve the tasks of hand gesture recognition and action classification. We demonstrate that our approach significantly outperforms the state of the art approaches on two popular datasets: Cambridge hand gesture dataset and UCF sports action dataset. We use a variety of approaches to tackle the popular task of visual classification. We describe a novel hierarchical feature learning strategy that uses low level Bag of Words visual words to create “higher level” features by making use of the spatial context in images. Our model uses a novel Naive Bayes Clustering algorithm to convert a 2-D symbolic image at one level to a 2-D symbolic image at the next level with richer features. On two popular datasets, Pascal VOC 2007 and Caltech 101, we demonstrate the superiority of our representations to the traditional BoW and deep learning representations. Driven by the hypothesis that most data, such as images, lies in multiple non-linear manifolds, we propose a novel non-linear subspace clustering framework that uses K Restricted Boltzmann Machines
4.2 THE APPLICATION OF CLIMATE DATA SETS IN CALIBRATING ENSEMBLE GUIDANCE FOR THE PREDICTION OF HAZARDOUS WEATHER

Ensemble forecasts are becoming commonplace in operational meteorology. Yet despite their well documented utility, ensemble systems still suffer from a host of problems resulting from model bias, improper sampling of initial conditions, effects of lateral boundaries, imprecise or misunderstood physical processes, and intrinsic model error. As a result, most ensemble forecasts are under-dispersive and do not encompass a complete range of plausible future atmospheric states (Wandishin et al. 2001). The post-processing of ensemble output may enhance the statistical attributes of an ensemble system. The goal of ensemble post-processing is to use statistical techniques that improve the scalar attributes of forecast performance such as bias, reliability, resolution, and sharpness (Wilks 1995). Many techniques of varying complexity exist for ensemble post-processing, with the preferred approach dependent upon the forecast problem, operational requirements, and the availability of historical data. Operational requirements generally infer computational efficiency and the capability of efficiently adapting to upgrades in the real-time operational system. Regardless of the postprocessing approach used (e.g., regression, artificial intelligence, Bayesian, frequentist) a long-term historical archive of past weather is essential.
2 Gb/s 15 pJ/b/chip Inductive-Coupling Programmable Bus for NAND Flash Memory Stacking

A wireless communication technique, which enables a controller chip to communicate with random access with a stack underneath it of 64 NAND Flash memory chips at a data rate of 2Gb/s using relayed transmission is developed (Fig. 13.5.1). This technique can be applied to memory access in solid-state drives (SSD). The wireless interface allows the removal of a highly capacitive ESD protection device and results in a 2× reduction in power consumption, and a 40× reduction in I/O circuit-layout area. Using bonding wires for the power supply and wireless interface for data access reduces the number of bonding wires in the 64-chip stack from over 1,500 wires to less than 200 wires. This reduction in the number of bonding wires makes it possible to integrate 64 chips in one package, which conventionally requires eight separate packages. This wireless interface is based on inductive coupling between inductors on the stacked chips. The inductors emit magnetic field both upwards and downwards. This creates both intentional and unintentional communication link, which makes it difficult to be used in homogeneous stacking. Our technique enables data delivery upwards and downwards for memory read and write with measured BER ≪ 10–12. Power reduction is achieved by proper state programming of individual chips.
A semi-blind robust watermarking for digital images

A new robust watermarking scheme based on triplet of wavelet coefficients is proposed. Triplets of wavelet coefficients are defined then selected and classified into two classes to embed and extract the watermark according to the relationship of their three wavelet coefficients. The shuffle algorithm is also adopted to randomize the watermark sequence for the purpose of security. Experimental results show that the degradation caused by the proposed algorithm is very slight, and this watermarking scheme is very robust to common image processing and malicious attack.
Effective browsing of personal Tag space in social tagging systems

Social tagging systems such as del.icio. us and flickr have recently increased in popularity. The easy use of tags, along with the ability to publicly share tags and resources from others, has attracted many users to actively participate. However, more and more users are facing the problem of effectively organizing and browsing the increasing tags and resources in one’s personal tag space. In this paper, we present a novel approach to automatically group tags in one’s personal tag space into tag clusters thus helping the user organize the large tagged resources effectively. The proposed approach is based on the theory of concept lattices, which provides a powerful, well-founded, and computationally-tractable framework to model one’s personal tag space in which tags and collocated resources are represented and to compute such a transformation. We also propose a visual interface model for tag browsing by incorporating Tag Cloud and clustering technology, where tags in each cluster are organized as a tag-cloud. Experiments on del.icio. us show that the clustering results are very similar to bundles manually created by users. The presented algorithm not only groups the semantic-related tags into clusters, but also generates meaningful descriptions for each cluster automatically. In addition, the prototype system shows that the grouped Tag Cloud visualization interface improves the visual representation of a typical Tag Cloud layout.
Student’s Attitude towards Peer-to-Peer Music File Sharing and Downloading from Internet-A Cross Sectional Study of American and Moroccan Students

Purpose: The main aim of this study is to compare two different cultures in terms of ethical and legal use of music sharing technology. Students’ perceptions of downloading from web and sharing music with each other varies across cultures. Such practices have caused significant losses to music and film industry. Methodology/Sampling: Primary data was collected from Morocco and US university students on a pretested questionnaire. Besides frequency distributions, chi-square, t-test and confirmatory factor analysis were used as inferential tools. Findings: Results showed a considerable difference in between Moroccan and American students’ attitude in terms of music files sharing and downloading. Compare to Moroccans, American students were more aware of ethical, and legal aspects of music file sharing and download from web. Practical Implications: Research findings suggests music industry should focus on making music products more affordable and create awareness towards music piracy through promotional campaigns keeping in mind the cultural differences of end users. The research findings will set a platform for further comparative studies in the same context. Keywords: File Sharing, Piracy, Free downloads, Cross-Culture.
Health and community design: the impact of the built environment on physical activity

Edited by L Frank, P Engelke, T Schmid. Washington, DC: 2003, $30.00, pp 253. ISBN 1-55963-917-2 Sedentary behaviour is a major cause of poor health worldwide both through the direct effects of inactivity on health and indirectly via its contribution to obesity. Health and Community Design describes the role of the built environment as a potential contributor to physical inactivity …
Viewer ’ s immersion in 360 o video features . Comparative analysis of “ In the skin of a refugee ” and “ Fukushima , polluted lives ”

The aim of this paper is to identify some of the narrative resources being used in immersive features to increase in the viewer the sensation of being inside the represented reality represented. In order to do, so we have used a blended methodology based on content analysis and in depth interviews with their creators, to perform a comparative analysis between 2 Spanish projects. The Resumen: El objetivo de este artículo es identificar algunos de los recursos narrativos que se emplean en los reportajes inmersivos en vídeo en 360o para favorecer en el espectador la sensación de encontrarse dentro del acontecimiento narrado. Para ello, realizamos un análisis comparativo de dos proyectos españoles a partir de una metodología mixta basada en análisis de contenido y en entrevistas en profunReceived: 08/05/2018 / Accepted: 01/06/2018 Recibido: 08/05/2018 / Aceptado: 01/06/2018