Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of EFQM Model Implementation: a survey on Iranian automotive after sale services companies

It is nearly a decade that Iranian companies attempt to obtain European foundation for quality management (EFQM) organizational excellence award with guidance of public sector, spending enormous financial cost and utilization of human resources. Authors experiences an expert or consultant in implementing this pattern in several companies is motivated them to perform a research about effectiveness of EFQM pattern in Iranian companies. In this regard, automotive after-sales services companies that engaged in achieving EFQM award have been chosen as the study population. To evaluate effectiveness of this pattern, several dimensions of organization based on research literature, patterns and theories translated to operational and measurable indicators. Questionnaires were completed by a sample of employees and managers, were used for data collection. Research hypotheses were tested by comparison of coupled mean before and after implementation of EFQM model. Results suggest that the effectiveness of EFQM model implementation in Iranian companies, is very low and only in some dimensions.
Recombinant Mycobacterium smegmatis transfected with a pMyong2 vector expressing Human Immunodeficiency Virus Type I Gag can induce enhanced virus-specific immune responses in mice

······························································································································ i CONTENTS ······························································································································· iii LIST OF TABLES AND FIGURES ······················································································ v LIST OF ABBREVIATIONS ·································································································· vi
Multi-Material Dual Gradient 3D Printing for Osteogenic Differentiation and Spatial Segregation.

In this study of 3D printed composite β-tricalcium phosphate (β-TCP)/hydroxyapatite (HA)/poly(ε-caprolactone) (PCL)-based constructs, the effects of vertical compositional ceramic gradients and architectural porosity gradients on the osteogenic differentiation of rabbit bone marrow derived mesenchymal stem cells (MSCs) were investigated. Specifically, three different concentrations of β-TCP (0, 10, and 20 wt%) and three different porosities (33 ± 4 %, 50 ± 4 %, and 65 ± 3 %) were examined to elucidate the contributions of chemical and physical gradients on the biochemical behavior of MSCs and the mineralized matrix production within a 3D culture system. By delaminating the constructs at the gradient transition point, the spatial separation of cellular phenotypes could be specifically evaluated for each construct section. Results indicated that increased concentrations of β-TCP resulted in up-regulation of osteogenic markers including alkaline phosphatase activity and mineralized matrix development. Furthermore, MSCs located within regions of higher porosity displayed a more mature osteogenic phenotype compared to MSCs in lower porosity regions. These results demonstrate that 3D printing can be leveraged to create multiphasic gradient constructs to precisely direct the development and function of MSCs, leading to a phenotypic gradient.
Pannexin 1 activation and inhibition is permeant‐selective

The large‐pore channel pannexin 1 (Panx1) is expressed in many cell types and can open upon different, yet not fully established, stimuli. Panx1 permeability is often inferred from channel permeability to fluorescent dyes, but it is currently unknown whether dye permeability translates to permeability to other molecules. Cell shrinkage and C‐terminal cleavage led to a Panx1 open‐state with increased permeability to atomic ions (current), but did not alter ethidium uptake. Panx1 inhibitors affected Panx1‐mediated ion conduction differently from ethidium permeability, and inhibitor efficiency towards a given molecule therefore cannot be extrapolated to its effects on the permeability of another. We conclude that ethidium permeability does not reflect equal permeation of other molecules and thus is no measure of general Panx1 activity.
EGG YOLK LIPIDS CHANGE IN JAPANESE QUAIL GIVEN TRIBULUS TERRESTRIS EXTRACT

GRIGOROVA, S. , M. NIKOLOVA, D. PENKOV and V. GERZILOV, 2014. Egg yolk lipids change in Japanese quail given Tribulus terrestris extract. Bulg. J. Agric. Sci., 20: 1472-1476 The objective of the current research was to study the change of yolk lipid fractions in the eggs of Japanese quails (Coturnix coturnix japonica) given different doses of the Bulgarian product Vemoherb T (dry extract from the herb Tribulus terrestris). A total of 52 female and 16 male Japanese quails of Pharaon breed, at the age of 44 days were randomly divided into four groups – control and 3 experimental (13 female and 4 male in each). All groups were fed ad libitum the same compound feed. Tribulus terrestris was added to the quails’ drinking water in the following daily doses: 4mg/kg body weight for a period of 10 weeks (Ist group); 10mg/kg body weight during the first fife weeks of the experiment (IInd group); 10mg/kg body weight for a period of 10 weeks (IIInd group). The following indices of egg yolk were determined at the end of the experiment: total lipids – by Bligh and Dyer (1959); phospholipids – by Bartlett (1975); total cholesterol content – by Shoenheimer-Sperry (1950) and fatty acid composition – using the “Perichromm” gas chromatograph. The content of total yolk lipids in IIIrd experimental was significantly higher compared to the other two treated groups (P 0.05). The values of total yolk phospholipids were unaffected by addition of different doses TT extract. There was statistically proven decrease of total cholesterol content in the yolk of all experimental groups relative to control group (P < 001 for Ist and IInd experimental groups and P < 0.001 for IIIrd experimental group). Third experimental group unlike the other groups had higher concentration of linoleic acid (P < 0.05).
Evaluating and Ranking Cloud-Based E-Learning Critical Success Factors (CSFs) Using Combinatorial Approach

Cloud computing has been regarded as one of the significant Information Technology (IT) tools. Many sectors are adopting cloud computing services for its business support. It has also become a new IT paradigm that has transformed the E-Learning system to become more user-friendly. As a result, the E-Learning usage is growing rapidly and being preferred over the conventional teaching-learning process in a big way. This revolutionary change is attributed to the advancement in digital technology. The transformation in digital technology has made the teaching-learning process flexible, easy and convenient for effective knowledge transfer. The cloud-based E-Learning process depends upon many factors of different dimensions that are of significant importance for cloud-based-E-Learning success. Hence they must be studied to successfully analyze their level of importance and fulfill Cloud-based E-Learning positive effectiveness. The current research provides a detailed literature review for cloud-based E-Learning Critical Success Factors (CSFs) of teaching–learning process. Further, the research employs the combinatorial approach to evaluate the diversified dimensions and CSFs of cloud-based E-Learning that helps in quantifying and comparing the influence of various dimensions and CSFs of cloud-based-E-Learning. Four dimensions and fourteen factors have been identified through in-depth literature review and later on evaluated for the prioritization using a combinatorial approach. The influence of such dimensions and factors will help various stakeholders to plan their strategy and resources for the betterment of knowledge transfer through cloud-based-E-Learning.
Toubkal: A Flexible and Efficient Hardware Isolation Module for Secure Lightweight Devices

Toubkal is a new hardware architecture which provides secure, efficient and flexible hardware isolation. It is a modular system that offers strong separation of different hardware modules within a system. Lightweight devices use mainly a Memory Protection Unit (MPU) to protect the memory and create an isolation architecture. However, the MPU offers only a memory control access for the software running on the system. This scheme does not prevent other hardware components from accessing system memories. Toubkal aims at enhancing MPU architectures by adding a new hardware layer to create different access environments for different hardware components. Toubkal has been designed in such a way that it can easily be adapted to the system needs in terms of security, safety and performances. It does not require any change in the existing hardware modules. We present a detailed description of the architecture, then we compare and discuss run-time, area overhead as well as security limitations using different policies and options. The first experimental hardware module increases between 0.08% and 8.5% a single core Rocket Chip cells area.
Live Streaming as Co-Performance

Live streaming is a highly participatory form of performance, involving various types of audience participation such as liking, commenting, and gifting. But how do streamers and audiences collaborate to deliver live streaming performances? We approach this question through an interview study with 30 spectators and eight streamers in China. Drawing from theatrical engagement research, we use the cogitative spatial concept of center-peripheral attention of the audience to analyze the complex interplay between streamers and spectators, where the former occupy the center and the latter the periphery. We then discuss the orchestration of the center and the periphery, where streamers and spectators coordinate their respective performances, as well as the interaction between the center and the periphery, where the center-periphery distinction blurs. Based on these findings, we discuss co-performance as a theatrical metaphor for understanding live streaming and audience engagement.
Food Processing, Food Spoilage and their Prevention: An Overview

Fruits and vegetables are important sources of human life. It should be safe and consists of good shelf life, which can improve the level of consumption of fruits and vegetable among society. The processing is such a great parameter which analyses the quality of food. Today fruits and vegetables are susceptible to the growth of microorganism which may be air borne, soil borne, and water borne disease. Enzymes offer the potential for many exciting applications for the improvement of foods. There is still, however, a long way to go in realizing this potential. Economic factors, i.e. achievement of the optimum yields and efficient recovery of desired protein are the main deterrents in the use of enzymes. The changing values in society with respect to recombinant DNA and protein engineering technologies and the growing need to explore all alternative food sources may in time make enzyme applications more attractive to the food industry. Key-wordsBacterial contamination, Enzyme, Enzymes, Food poisoning, immobilization, Perishable foods, Screening -------------------------------------------------IJLSSR----------------------------------------------INTRODUCTION Fruit and vegetables are an important source of health benefits due to their content of fiber, vitamins and antioxidant compounds. However, for the antioxidant compounds many changes occur during harvesting, preparation and storage of these fruits. During harvesting, pronounced loss of the microbiological and antioxidant qualities . The preservation against oxidation in food during processing and storage has become an increasing priority in the food industry. The oxidation is the most important cause of food deterioration after contamination. The main reasons are enzymatic browning by the enzymes such as oxidoreductases, polyphenoloxidase (PPO) and peroxydase (POD). PPO catalyzes two reactions; the first, a hydroxylation of monophenols to diphenols, which is relatively slow and results in colourless products. The another oxidation of diphenols to quinines, is rapid and gives colored products . Access this article online
The Influence of New Surveillance Data on Predictive Species Distribution Modeling of Aedes aegypti and Aedes albopictus in the United States

The recent emergence or reemergence of various vector-borne diseases makes the knowledge of disease vectors’ presence and distribution of paramount concern for protecting national human and animal health. While several studies have modeled Aedes aegypti or Aedes albopictus distributions in the past five years, studies at a large scale can miss the complexities that contribute to a species’ distribution. Many localities in the United States have lacked or had sporadic surveillance conducted for these two species. To address these gaps in the current knowledge of Ae. aegypti and Ae. albopictus distributions in the United States, surveillance was focused on areas in Texas at the margins of their known ranges and in localities that had little or no surveillance conducted in the past. This information was used with a global database of occurrence records to create a predictive model of these two species’ distributions in the United States. Additionally, the surveillance data from Texas was used to determine the influence of new data from the margins of a species’ known range on predicted species’ suitability maps. This information is critical in determining where to focus resources for the future and continued surveillance for these two species of medical concern.
LLAMA - automatic memory allocations: an LLVM pass and library for automatically determining memory allocations

There is an expectation among experts that the memory hierarchy will be expanded to provide support for multi-level memory, enabling the use of new memory technologies living side-by-side with traditional DRAM. In doing so, the advantages of traditional DRAM can be retained alongside the advantages of these new memory technologies. However, in order to be effective, memory must be allocated to different memory levels, either manually by the programmer, or automatically. This paper introduces a novel process which combines a custom LLVM Pass with a custom C library to automatically handle memory allocations performed by function calls without the need for programmer input or hardware/OS level changes. When utilizing a simulated multi-level memory architecture with dual nonvolatile RAM and volatile DRAM, the results demonstrate that such a program can alleviate the burden on the programmer while still maintaining the performance advantages of DRAM and the higher density of non-volatile memory technology.
The role of news in the fluctuations of housing price

The main purpose of this paper is to evaluate the impact of the news on the housing price volatility in Iran. To do so, symmetric and asymmetric models such as GARCH, T-ARCH, EGARCH and APGARCH are applied by using annual data for the period 1971–2013. The empirical results confirm the asymmetric and leverage effects of news in Iran housing market. Also the impact of shocks indicates that negative news affect the housing price fluctuations further more than positive news with the same size.
Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study

Background Hypoglycemic events are common and potentially dangerous conditions among patients being treated for diabetes. Automatic detection of such events could improve patient care and is valuable in population studies. Electronic health records (EHRs) are valuable resources for the detection of such events. Objective In this study, we aim to develop a deep-learning–based natural language processing (NLP) system to automatically detect hypoglycemic events from EHR notes. Our model is called the High-Performing System for Automatically Detecting Hypoglycemic Events (HYPE). Methods Domain experts reviewed 500 EHR notes of diabetes patients to determine whether each sentence contained a hypoglycemic event or not. We used this annotated corpus to train and evaluate HYPE, the high-performance NLP system for hypoglycemia detection. We built and evaluated both a classical machine learning model (ie, support vector machines [SVMs]) and state-of-the-art neural network models. Results We found that neural network models outperformed the SVM model. The convolutional neural network (CNN) model yielded the highest performance in a 10-fold cross-validation setting: mean precision=0.96 (SD 0.03), mean recall=0.86 (SD 0.03), and mean F1=0.91 (SD 0.03). Conclusions Despite the challenges posed by small and highly imbalanced data, our CNN-based HYPE system still achieved a high performance for hypoglycemia detection. HYPE can be used for EHR-based hypoglycemia surveillance and population studies in diabetes patients.
The role of customer in an agile project: a multi-case study

In this multi-case study we report the ﬁndings from three software projects conducted with SCRUM agile development framework. Each project took approximately a little less than a year to design, develop and test before launch to the user groups. All project vendors utilized SCRUM framework customized to suit their processes, and included customer as a participant in the overall process. Due to this fact, this study focuses on the role of the customer in daily life of an agile project. The ﬁndings show what is actually required from the customer – especially when the sprint length is only one week and the development process is very time-intensive. Although a one week sprint cycle can lead to improved eﬃciency it required a full time worker from the customer side and it burdened also developers. Based on our observations, as the developer teams and customer were located in various places around Europe, smooth communication was a key for success. In all cases the asynchronous communication tools such Slack were highly praised, although also direct communications were used to handle more complex issues. According to our ﬁndings, these agile projects did not have signiﬁcant issues caused by the online communication being the preferred way of communication. All of the cases had diﬃculties in ﬁtting the agile project to the ﬁxed budget, but with good collaboration, partnership and trust alleviated most of these problems.
Draft 1 STRATEGIES FOR IMPROVING DIMENSIONAL STABILITY OF CONCRETE

Changes in dimension of concrete due to early-age heat generation, long-term drying shrinkage and creep under sustained load could lead to significant movements of the concrete structure and lock-up stresses if the movements are restrained. The lock-up stresses are often large enough to cause cracking and water leakage, thereby adversely affecting the serviceability and durability of the structure. Whilst the dimensional changes are quite variable because of their dependence on the environmental conditions and applied loads, they are all related to the concrete mix proportions. Generally, the dimensional stability of concrete can be improved by reducing its cement content and paste volume. Moreover, since the aggregate also shrinks, the dimensional stability can be improved by suppressing the shrinkage of aggregate as well. In this paper, strategies for improving the dimensional stability of concrete are formulated based on experimental research. Test results are presented to demonstrate their effectiveness and applicability.
A Simulation Technique of Non-Destructive Testing using Magneto-Optical Film

An electro-magnetic field resulting from the application of a magnetic or electrical field to a metallic specimen is distorted due to the existence of a crack. The distribution of the magnetic field is changed by this distortion of the electro-magnetic field, and this change in the distribution can be visualized by the magneto-optical (MO) film in the magneto-optical nondestructive testing (NDT) method. The plane of a polarized light beam rotates when the beam is transmitted through an MO film because of the Faraday effect, a kind of magneto-optical effect. In this paper, an NDT simulation technique, which uses not only the Faraday effect, but also the change in the magnetic domains caused by an external magnetic field, the saturated magnetization effect, the effect of the magnetizer, the bias of the magnetic field and the temperature properties, is discussed. The simulation results are verified by comparing them to experiment results.
Wage-Price Dynamics and Deflation in Hong Kong

This paper provides empirical evidence on the dynamics of prices and wages in Hong Kong. The results imply that the deflation in Hong Kong since 1997 can be understood using a conventional macroeconomic framework wherein foreign influences constitute the basic underlying shocks, and adjustment processes in domestic wages and prices determine the details of the transmission mechanism. Our results indicate that the decline in local nominal prices owes much to declining prices of imported intermediate goods. The negative output gap and the increase in unemployment experienced during the deflation period also have their origin in foreign shocks, but the domestic wage adjustment process constitutes an important contributing factor.
Consensus Control for Switched Multi-agent Systems with Interval Time-varying Delays

This paper considers multi-agent systems with interval time-varying delays and switching interconnection topology. By construction of a suitable Lyapunov-Krasovskii`s functional, new delay-dependent consensus control conditions for the systems are established in terms of LMIs (Linear Matrix Inequalities) which can be easily solved by various effective optimization algorithms. One numerical example is given to illustrate the effectiveness of the proposed methods.