Miracle-dz/UniFAR-FTUs huggingface dataset:
Obesity Average and its Relation with Packed Cell Volume (PCV) Value in a Section of Students and Employees of Al-Mustansiriyiah University in Iraq

It is known that the obesity distribution is very huge worldwide. However, obese persons differ in the stores and excess fat regions within the body. Cardiovascular disease, type 2 diabetes, musculoskeletal disorders, limitations of respiratory function, reduced physical functioning and quality of life, and increase the mortality rate are the sequelae of the most important of obesity and abdominal fatness (Seidell et al., 2001). Packed cell volume (PCV) and obesity estimates are the essential risk factors that have been traceable for the causes of cardiovascular disease and many other diseases. In addition, it has been reported that there was statistically significant correlation between the packed cell volume and obesity. the present research amid to study: 1) study the obesity rate depend on gander using different ways such as BMI and percentage of total body fat (TBF), 2) study the diseases risk depend on gander using waist/hip (W/H) ratio, and 3) study the correlation between PCV and obesity status in these groups. Included in this study were 97 individuals randomly selected from students and employees of Department of Biology – College of Science - Al-Mustansiriyiah University in Baghdad / Iraq. The age group was in the range of 18-60 years of both genders. 2 ml of venous blood was collected from adult individuals only, which were used directly to determine PCV. While the general frequencies of obesity status according BMI does not exceed (3.1%) from total number of subjects, the general frequencies of obesity status according TBF% increased to (14.7%) from total number of subjects, mostly in female. Interestingly, while no significantly correlation were detected between the PCV and BMI (R2=0.007), there was a significantly negative correlation between PCV and TBF (R2= -0.095). Keywords: Obesity, MBI, TBF, W/H ratio, PCV.
Negative Bias Temperature Instability Dependence on Dielectric Thickness and Nitrogen Concentration in Ultra-scaled HfSiON Dielectric/TiN Gate Stacks

Negative bias temperature instability (NBTI) of the HfSiON/TiN gate stack is investigated as a function of the dielectric thickness. It is shown that as the thickness of the HfSiON layer is reduced below 20 Å, the NBTI mechanism approaches the mechanism that induces H-reaction diffusion. Conversely, for thicker HfSiON dielectrics, a combination of H-reaction–diffusion and charge detrapping from the bulk HfSiON contribute to NBTI. MOS devives with plasma nitrided HfSiON (30 Å) with varying nitrogen (N) content as gate dielectric are studied with respect to NBTI and it is found that NBTI is dominated by electron detrapping from the bulk and the threshold voltage (VTH) shift reduces monotonically with increasing N content.
Future-adaptability for energy and resource efficient vehicles

In contrast to linear business models, circular business models (CBMs) assign the product value and its lifecycle responsibility to a manufacturer or service provider where customers get access to functionality and performance during multiple use cycles. A CBM requires (due to the increased business risk for product obsolescence) suitable products designed for long service life, changes in service content, repair, upgrades and remanufacturing. This paper illustrates drivers that can make three categories of vehicles obsolete in a circular business model. We propose a conceptual framework where drivers for obsolescence are used as enablers for future adaptable design, exemplified with industry cases. Future adaptable vehicles have the potential to be both profitable and energy and resource efficient during use and in end of life in a CBM. However, it will challenge today´s business models with a design logic that rewards longer and more flexible product life. Current barriers are legislation, standards and certification, and consumer acceptance. Besides organizations barriers and a general reluctance to changes.
ITERATIVE TIME-REVERSAL MIRROR METHOD FOR IMAGING THE BURIED OBJECT BENEATH ROUGH GROUND SURFACE

An iterative Time-Reversal Mirror (TRM) method is proposed to Detect and Image the buried target beneath ground surface. Unlike the conventional TRM methods which treat the information of the ground as clutters and directly delete them, the iterative TRM imaging method proposed in this paper utilizes the information of rough ground surface as a useful knowledge. The new approach is consisted of two TRM procedures. In the flrst TRM procedure, it aims to image the rough surface where the propagation environment for electromagnetic wave is free space. The second TRM procedure aims to image the buried target. In this step, the information of the rough surface estimated by the flrst TRM procedure will be treated as newly updated propagation environment. Then conventional TRM is applied to image the buried target. By applying this iterative TRM method, the information of the rough ground can be well considered in the whole TRM procedure. Numerical simulations prove that this method performs signiflcantly better image contrast comparing with the results obtained by using conventional TRM. 4{5dB improvement on the imaging SNR has been achieved. Furthermore, the target can be located more accurately.
HYBRID POWER GENERATION (SOLAR AND WIND ENERGY)

Today, the world is progressing at quit fast rate with the use of conventional source of energy. Now a day’s electricity is most needed facility for the human being. All the conventional energy resources are depleting day by day and having disadvantages of using them are environmental pollution created by its use. So we have to shift from conventional to non-conventional energy resources. Many types of clean and renewable energy sources can be used in production of electrical energy. In this project the combination of two energy resources is takes place i.e. wind and solar energy. This process reviles the sustainable energy resources without damaging the nature. We can give uninterrupted power by using hybrid energy system. Basically this system involves the integration of two energy system that will give continuous power. Solar panels are used for converting solar energy into electricity and wind turbines are used for converting wind energy into electricity. This electrical power can utilize for various purpose. Generation of electricity will be takes place at affordable cost. This project deals with the generation of electricity by using two sources combine which leads to generate electricity with affordable cost without damaging the nature balance.
hp-HGS twin adaptive strategy for inverse resistivity logging measurements

In this paper we present the hp-HGS twin adaptive strategy for solving inverse problems related to resistivity logging measurements simulations. The Hierarchical Genetic Search (HGS) algorithm is a multi deme genetic algorithm, constructing a tree of genetic populations, searching with increased accuracy while going down the tree. The hp-HGS extension of the HGS algorithm presented in this paper, the fitness of each individual is estimated by using direct problem solution obtained with goal oriented hp-adaptive Finite Element Method (hp-FEM). The direct problem solution at the root populations is computed with lowest possible accuracy, while the leaf populations utilize maximum available accuracy that can be obtained from goal-oriented hp-FEM technology. The algorithm is testes on several numerical examples of the 3D DC borehole resistivity measurements simulations.
Climate Classification For The Simulation Of Thermally Activated Building Systems (tabs)

Thermally activated building systems (TABS) provide high temperature cooling and low temperature heating which has a better efficiency compared to traditional heating and cooling solutions. Additionally the moderate required temperature levels for heating and cooling create the opportunity to use alternative (sustainable) energy sources that would otherwise be insufficient. The design of TABS is however challenging and most often requires a complete simulation of the building. The standard ISO 11855-4 (2011) suggests a simplified sizing method for TABS. The results however omit condensation risk entirely. The proposed climate classification should fill this gap by providing the missing data in a simple manner.
Bayesian estimation of correlation matrices: Application to the Multivariate GARCH model

The correlation matrix (R) plays an important role in many statistical and financial models. Unfortunately, sampling the correlation matrix can be problematic because of its positive definite constraint and its diagonal elements fixed at 1. In this work, we use the geometric properties of the correlation concept together with a Metropolis random-walk algorithm to estimate the constant correlation matrix in the Multivariate GARCH models as well as its parameters. The theory of the MH algorithm used to estimate the parameters of the model and sufficient conditions to implement it are shown in details. We also give an overview of the methodology used to sample the correlation matrix. Using these algorithms, we draw all elements of R by simulating a common prior distribution for all correlations and accepting posterior draws based on a Random Walk Metropolis-Hastings acceptance probability. The algorithm is applied using a multivariate GARCH model on financial time series from three daily stock returns from the energy sector. We then provide some interesting posterior distributions illustration and model parameters estimates.
FP-14-16 Age Variation in the Divorce Rate, 1990-2012

people divorced for every 1,000 marrieds versus 18 per 1,000 in 2010. This stability over time belies considerable variation by age group. A recent study indicates the divorce rate among those ages 50 and older doubled since 1990 (Brown & Lin, 2012), which suggests the risk of divorce declined among younger adults. Family Profile FP-12-05 documents the change in the divorce rate between 1990 and 2010 by 10year age groups. Here we update those findings combining data from the 1990 U.S. Vital Statistics and the 2012 American Community Survey, noting any substantial changes from 2010 to 2012. Age Variation in the Divorce Rate, 1990-2012 Susan L. Brown, I-Fen Lin, & Krista K. Payne NCFMR Family Profiles FP-14-16
Interactive coupling of regional atmosphere with biosphere in the new generation regional climate system model REMO-iMOVE

Abstract. The main objective of this study is the coupling of the regional climate model REMO with a new land surface scheme including dynamic vegetation phenology, and the evaluation of the new model version called REMO with interactive MOsaic-based VEgetation: REMO-iMOVE. First, we focus on the documentation of the technical aspects of the new model constituents and the coupling mechanism. The representation of vegetation in iMOVE is based on plant functional types (PFTs). Their geographical distribution is prescribed to the model which can be derived from different land surface data sets. Here, the PFT distribution is derived from the GLOBCOVER 2000 data set which is available on 1 km × 1 km horizontal resolution. Plant physiological processes like photosynthesis, respiration and transpiration are incorporated into the model. The vegetation modules are fully coupled to atmosphere and soil. In this way, plant physiological activity is directly driven by atmospheric and soil conditions at the model time step (two minutes to some seconds). In turn, the vegetation processes and properties influence the exchange of substances, energy and momentum between land and atmosphere. With the new coupled regional model system, dynamic feedbacks between vegetation, soil and atmosphere are represented at regional to local scale. In the evaluation part, we compare simulation results of REMO-iMOVE and of the reference version REMO2009 to multiple observation data sets of temperature, precipitation, latent heat flux, leaf area index and net primary production, in order to investigate the sensitivity of the regional model to the new land surface scheme and to evaluate the performance of both model versions. Simulations for the regional model domain Europe on a horizontal resolution of 0.44° had been carried out for the time period 1995–2005, forced with ECMWF ERA-Interim reanalyses data as lateral boundary conditions. REMO-iMOVE is able to simulate the European climate with the same quality as the parent model REMO2009. Differences in near-surface climate parameters can be restricted to some regions and are mainly related to the new representation of vegetation phenology. The seasonal and interannual variations in growth and senescence of vegetation are captured by the model. The net primary productivity lies in the range of observed values for most European regions. This study reveals the need for implementing vertical soil water dynamics in order to differentiate the access of plants to water due to different rooting depths. This gets especially important if the model will be used in dynamic vegetation studies.
Halogen activation via interactions with environmental ice and snow in the polar lower troposphere and other regions

The role of ice in the formation of chemically active halogens in the environment requires a full understanding because of its role in atmospheric chemistry, including controlling the regional atmospheric oxidizing capacity in specific situations. In particular, ice and snow are important for facilitating multiphase oxidative chemistry and as media upon which marine algae live. This paper reviews the nature of environmental ice substrates that participate in halogen chemistry, describes the reactions that occur on such substrates, presents the field evidence for ice-mediated halogen activation, summarizes our best understanding of ice-halogen activation mechanisms, and describes the current state of modeling these processes at different scales. Given the rapid pace of developments in the field, this paper largely addresses advances made in the past five years, with emphasis given to the polar boundary layer. The integrative nature of this field is highlighted in the presentation of work from the molecular to the regional scale, with a focus on understanding fundamental processes. This is essential for developing realistic parameterizations and descriptions of these processes for inclusion in larger scale models that are used to determine their regional and global impacts.
A dynamic model of battery energy storage system based on the external characteristic equivalent

With the increasing application of battery energy storage in the power grid, there will be inevitably a large number of battery energy storage systems (BESS) in the future distribution network. It is very important to study the equivalent model of BESS which is suitable for comprehensive load modelling. In this paper, the battery group is established based on a type of general battery model, and then, a simulation platform of BESS based on MATLAB/Simulink is constructed, using a double closed loop control strategy with constant power as control object. Through the simulation analysis of grid-connected characteristics of BESS, a semi-mechanism dynamic model of BESS based on the external characteristic equivalent is proposed. This model represents the variation trend of the electrical variables of BESS during transient state, and considers the inertia characteristics of the BESS relative to power grid. By comparing the simulation results under different disturbance intensity, the proposed model can describe the transient characteristics of BESS, and can meet the performance requirements of the load modelling for the distribution network side.
Designing to facilitate learning through networked technologies: factors influencing the implementation of digital resources in higher education

Recent advances in computers and telecommunications have allowed networked learning to play a significant role to play across the complete spectrum of higher education teaching. One of the most significant UK government initiatives to date has been the development the Information Environment (IE) originally called as the Distributed National Electronic Resource (DNER), which is aiming to create a managed environment for accessing quality assured information resources on the Internet (IE, 2004). This paper draws on our formative evaluation of the IE and the investigation of the take up of digital resources produced by a number of projects selected for funding under JISC circular 5/99. Although we identified examples of good practice in using the IE to support learning and teaching and instances where digital resources were successful in addressing certain needs for the learners the benefits were less then anticipated. The digital resources produced by the projects seem to hold a potential to support teaching in higher education, however, the actual impact they had on learning was found to be less than anticipated. The findings suggest that the application and implementation of networked technologies is partly determined by the social context in which it operates. Finally, the paper advocates the need for action to influence educational practice and engage related parties in a genuine way in order to realise the transforming potential of networked learning. By exploring the implementation of information digital resources in teaching and learning under the framework of actor network theory, this paper makes a contribution to the development of theory and practice in the area of networked learning.
Servitization of the manufacturing firm: exploring the operations practices and technologies that deliver advanced services

Purpose: This paper aims to explore practices and technologies successfully servitised manufacturers employ in the delivery of advanced services. Design/methodology/approach: A case study methodology is applied across four manufacturing organisations successful in servitization. Through interviews with personnel across host manufacturers, their partners, and key customers, extensive data are collected about service delivery systems. Analyses identify convergence in their practices and technologies. Findings: Six distinct technologies and practices are revealed: facilities and their location, micro-vertical integration and supplier relationships, information and communication technologies (ICTs), performance measurement and value demonstration, people deployment and their skills, and business processes and customer relationships. These are then combined in an integrative framework that illustrates how operations are configured to successfully deliver advanced services. Research limitations/implications: The analyses are reductive and rationalising. Future studies could identify other technologies and practices. Case study as a method is inherently limited in the extent to which findings can be generalised. Practical implications: Awareness and interest in servitization is growing, yet adoption of a servitization strategy requires particular organisational capabilities on the part of the manufacturer. This study identifies technologies and practices that underpin these capabilities. Originality/value: This paper contributes to the understanding of the servitization process and, in particular, the implications to broader operations of the firm.
Development and molecular characterization of interspecific hybrids of Jatropha curcas × J. integerrima.

Reciprocal crosses between J. curcas and J. integerrima were attempted. The interspecific hybrids were successful only when the former was used as seed parent. The F(1) hybrids exhibited a wide range of variation for vegetative and reproductive traits suggesting considerable heterogeneity between the parental plants. Some of the characters such as stem type, branching habit, leaf size and shape of the hybrids resembled the female parent while others like leaf pigmentation, fruit and seed size, flower colour, resembled the male parent. The parents and their 23 hybrid plants were subjected to random amplified polymorphic DNA (RAPD) analysis using 61 random decamer primers. Out of 61 primers, the amplification was obtained in 51 primers producing 384 bands. The similarity value between the parents (41.4%) was less than those between parents and hybrids. Cluster analysis based on Jaccard's similarity coefficient outgrouped the female parent from rest of the genotypes at a similarity coefficient of 0.55. The 2-Dimensional and 3-Dimensional scaling by principal component analysis (PCA) grouped some hybrids with male parent, some with female parent while others in between both the parents.
Superconducting qubit as a probe of squeezing in a nonlinear resonator

In addition to their central role in quantum information processing, qubits have proven to be useful tools in a range of other applications such as enhanced quantum sensing and as spectrometers of quantum noise. Here we show that a superconducting qubit strongly coupled to a nonlinear resonator can act as a probe of quantum fluctuations of the intra-resonator field. Building on previous work [M. Boissoneault et al. Phys. Rev. A 85, 022305 (2012)], we derive an effective master equation for the qubit which takes into account squeezing of the resonator field. We show how sidebands in the qubit excitation spectrum that are predicted by this model can reveal information about squeezing and quantum heating. The main results of this paper have already been successfully compared to experimental data [F. R. Ong et al. Phys. Rev. Lett. 110, 047001 (2013)] and we present here the details of the derivations.
Design and implementation a real time healthcare system based on WSN

The development of monitoring systems of healthcare on the basis of WSN has seen a significant increase on a large scale in previous years. These systems are more prevalent because of the importance of human life and the provision of appropriate technologies to be applied. Therefore it must be appropriate to the requirements of healthcare. In this paper, a real-time healthcare monitoring system based on WSN is designed. The system senses and displays ECG, SPO2, heart rate (HR), breathing, respiratory rate, blood pressure and temperature of a patient. A new algorithm is developed in this paper to measure a respiratory rate from breathing (Airflow sensor). The system features a friendly GUI in base station which is easy to use and very simple to administer by a specialist doctor. The network technology, which is used in the system is a star topology with wireless ZigBee protocol. In base station, LabVIEW software and Visual studio 2012 are used to do tasks such as a processing, monitoring, graphical user interface, reporting, and alarming. The aim of this paper is to design a real time healthcare monitoring and alarming system using WSN for sensing breathing, ECG, temperature, SPO2, and blood pressure through Zigbee protocol.
OS based Aplix software solution

With a high experience level in information technology, design and client/server solutions implementation, Aplix is involved not only in project design execution but also in complex software solutions orientated on process and information systems. Their desire is to offer customers high technology information solutions at a reasonable price. Aplix solution means more than Aplix-ERP. Their customers had during time not only an efficient and secure relational data managing system but also complete solutions such as: intranet/ internet/ VPN and office: data servers and Ubuntu intranet/ Linux/ Samba / Apache/ Firebird/ SQL/ SVN/ e-Groupware/ Mozilla Firebird, Thunderbird, OpenOffice, Free Mind and others. All these form in reality the Aplix solution, which is based on Open Source software. The Aplix-ERP (Enterprise Resource Planning) integrated application software automizes the processes of bookkeeping and administration, fixed means and inventory objects issues and also human resources processes.