Miracle-dz/UniFAR-FTUs huggingface dataset:
Repeated folding and its significance in northern Western Desert petroleum province, Egypt

The detailed structural synthesis of the subsurface structure in the northern part of the Western Desert of Egypt has become of great interest. In petroleum potential the northern Western Desert of Egypt is the second most promising localities of Egypt after the Gulf of Suez province. A detailed study of the structural modeling of Abu El-Gharadig and El-Razzak oil and gas fields in the northern part of the Western Desert of Egypt has shown that their structures change in shape, size or amplitude and shift their position laterally as a result of repeated folding stages that affected the study area during the Cretaceous age. This study is of great value where folding at the surface or at shallow depth is therefore not always a reliable guide in searching for petroleum pools that are trapped in reservoir rocks at great depths, for it frequently does not parallel the deeper folding.
Quitting behaviour in good (and bad) work places

This paper argues that the decision to quit is strongly influenced by employee perceptions of the quality of the work environment (QWE), and that ignoring QWE can lead to incorrect conclusions concerning the influence of other factors on the quitting decision. However, our empirical results also illustrate that some of the antecedents of quitting, namely high levels of stress, gaining information about important decisions and changes, and changes in job satisfaction, are only significant if the overall QWE is perceived to be good; if the QWE is perceived to be bad then these factors appear to have no significant influence on the quitting intention of the worker. This paper contributes to the literature through a work environment approach to understanding the complexities of the quitting decision.
Reducing the Uncertainty In the Data Processing of PS Converted Waves

PS converted waves in multi-component seismic data have been used increasingly in the oil industry due to their ability for imaging through gas clouds and lithology-fluid prediction. The moveout of PS converted waves plays a crucial role in imaging and velocity model estimation. Different formulae have been derived for the moveout of PS-converted waves with different kinds of parameterization (Alkhalifah, 1997; Cheret, et al, 2000; Li and Yuan, 2003; Thomsen, 1986, 1999; Tsvankin and Thomsen, 1994). Several formulae with three, four, or five parameters are used. Therefore different approaches and software need to be applied to PS-converted wave datasets. Unlike processing Pand S-waves, not all the parameters in these formulae can be reliably estimated from the PSconverted wave alone. This gives rise to some ambiguities in parameter estimation using PS-converted wave moveout. In order to simplify the approaches for processing PSwaves and overcome the problems in parameter estimation, Dai and Li (2005) proposed a simplified formula for the PS converted wave. In this paper, we show how to apply this formula in PS wave processing and discuss its advantages for data processing.
An Empirical Study about Green Purchase Intentions

Purpose The aim of this paper is to find if marketing and branding methods can help set up green brands and initiate green intention of utilization into modern lifestyles in the latest context where eco products are more and more available. The definite aim of this study is to analyze the impact of Green perceived risk, Green perceived trust, value, brand image, Green advertisement and awareness on green purchase intention of customer. Design/methodology/approach This paper explains the theory of green marketing to see how customers are convinced to purchase greener products. It also shows the empirical consequences of a consumer survey on green marketing strategies by the questionnaire method. The survey questionnaires were conducted to 150 respondents visiting different supermarkets. The questionnaires were processed and analyzed with the statistical software SPSS, using different techniques like descriptive, correlation and factor analysis. Findings The findings give some exciting clues regarding customers’ perceptions on environmental concerns and green products. More findings propose that most consumers have spoken a great interest in the protection of the environment and they are strongly concerned about the environment and its disgrace. So, business executives should arrange workshops and seminars so as to teach customers on environmental protection and environmental-friendly products. Results also point to an overall positive correlation between effective green marketing strategies and customers’ purchasing patterns for green products. Therefore, there is a strong urge for companies to promote green branding, eco-labeling and green packaging strategies in order to motivate a greener pattern of consumption among consumers. Practical implications The paper suggests a stepping approach to consumer purchasing intetion for greener products could be exploited more within consumer groups that have strong environmental concerns and beliefs. The results also offer precious knowledge on the usefulness of green marketing strategies which can help both private and public enterprises in developing and designing attractive green products that will be privileged by customers. Originality/value Although green marketing has been a significant research topic for several decades, hardly any research has been focused on the impact of green marketing strategies on consumer purchasing intention in the context of developing countries. This paper has analyzed the strength of environmental concerns and beliefs and has provided some insights on green marketing strategies and the various managerial implications have been fully addressed in order to favor the consumption of greener products.
Fully automatic and accurate detection of lung nodules in CT images using a hybrid feature set.

PURPOSE: The aim of this study was to develop a novel technique for lung nodule detection using an optimized feature set. This feature set has been achieved after rigorous experimentation, which has helped in reducing the false positives significantly. METHOD: The proposed method starts with pre-processing, removing any present noise from input images, followed by lung segmentation using optimal thresholding. Then the image is enhanced using multi scale dot enhancement filtering prior to nodule detection and feature extraction. Finally, classification of lung nodules is achieved using Support Vector Machine (SVM) classifier. The feature set consists of intensity, shape (2D and 3D) and texture features, which have been selected to optimize the sensitivity and reduce false positives. In addition to SVM, some other supervised classifiers like K-Nearest-Neighbour (KNN), Decision Tree and Linear Discriminant Analysis (LDA) have also been used for performance comparison. The extracted features have also been compared class-wise to determine the most relevant features for lung nodule detection. The proposed system has been evaluated using 850 scans from Lung Image Database Consortium (LIDC) dataset and k-fold cross validation scheme. RESULTS: The overall sensitivity has been improved compared to the previous methods and false positives per scan have been reduced significantly. The achieved sensitivities at detection and classification stages are 94.20% and 98.15% respectively with only 2.19 false positives per scan. CONCLUSIONS: It is very difficult to achieve high performance metrics using only a single feature class therefore hybrid approach in feature selection remains a better choice. Choosing right set of features can improve the overall accuracy of the system by improving the sensitivity and reducing false positives. This article is protected by copyright. All rights reserved.
The Effect of Volume of Transaction On The Intention Towards Tax E-filing

Volume of transaction is specifically referring to number of clients or return forms dealing by tax agents/preparers. This variable does play role even though there is less empirical evidence on this matter. This paper is basically to explore the effect of volume of transaction that could possibly influence the acceptance of tax e-filing system as it did in other areas of transaction i.e. court cases. Undoubtedly, it is proved to be significantly influenced the behavioural intention towards tax e-filing acceptability in Malaysia. The tax agents/preparers are randomly selected in this study from the list provided in the Inland Revenue Board of Malaysia (IRBM) website. The responds are analysed via Partial Least Square (PLS) method which produce the significant results among the low and high volume of transaction of tax e-filing which support the fact that volume does matter in the decision of acceptability of tax e-filing system in Malaysia.
Implementation of a hierarchical walk controller for the LAURON III hexapod robot

A control structure for a hexapod walking robot was previously developed at the IRI and implemented in simulation, as well as in a small robot with two degree of freedom legs. This same structure is now being implemented in a robot with three d.o. f. legs (LAURON III, from FZI). The problems found during the implementation in the real robot are summarized here. The main aspects that required special attention were the implementation of subsumption-like modules in MCA2, the native control architecture of the robot, and the difficulties to achieve the coordination of the movements of legs with the available actuators.
Effect of different types of carbohydrate supplementation on glycogen supercompensation in rat skeletal muscle

The purpose of this study was to examine the effects of glucose and sucrose supplement on glycogen accumulation in rat skeletal muscle and liver after exhaustive endurance exercise. Four- to five-week-old male Sprague-Dawley rats with an initial body weight ranging from 90 to 110 g were used for this study. All rats were trained by using a 7-day-long swimming exercise program, during which rats swam 6 h/day in two 3-h bouts separated by 45 min of rest. On the next day of the last training, all trained animals performed 240 min of swimming exercise with a weight equivalent to 3 % of their body weight to deplete muscle and liver glycogen. After glycogen-depleting exercise, rats were given a rodent chow diet plus either 5 % sucrose (SUC), 5 % glucose (GLU) or water (CON) for 6 h or 24 h. Despite equal amount of carbohydrate intake, glycogen concentration in rat epitrochlearis muscle of the GLU group rats was significantly higher compared with those observed in the CON (p<0.001) and the SUC groups (p<0.01). No significant difference in liver glycogen was observed among three groups. These results indicate that glucose supplementation rather than sucrose supplementation efficiently promotes glycogen supercompensation in rat skeletal muscle.
A Gain Programmable Analog Divider Circuit Based on a Data Converter

Analog dividers are widely used in analog systems. Analog realization of such circuits suffer from limited dynamic range and non-linearity issues, therefore, extra circuitry should be required to compensate these types of shortcomings. In this paper a gain controllable, analog divider is proposed based on data converters. Our circuit can be implemented both in current and voltage mode by selecting proper architectures. The resolution, power consumption and operation speed can be controlled by proper selecting of components. Another advantage of our circuit is its gain programmability. Moreover, the gain can be adjusted independently based on the relationship between input signals. Our proposed method offers two different gain control abilities, one for situation that the numerator signal is bigger than the denominator, and another gain is applied when the denominator is larger than the numerator. As a result, no extra amplifier is required for signal amplification. Moreover, the input and output signal nature can be chosen arbitrarily in this circuit, i.e. input signal may be a voltage signal while the output signal is current. Simulation results from SPICE confirm the proper operation of the circuit.
A utilização deste artigo é exclusiva para fins educacionais

The current investigation examined percentages of viewing time for six different types of televised sporting events: events involving a favorite team, events involving a moderately supported team, events involving a rival of a favorite team, events involving neither a rival nor a preferred team, sport news shows, and sport documentaries. Four variables were examined as predictors of percentage of time spent viewing the six forms of sport programming: biological sex, level of sport team identification, level of general sport fandom, and level of involvement in fantasy sports. Results from 448 college students revealed several significant findings, including team identification as a predictor of watching a favorite team’s games and sex as a predictor of watching sport news programming (men had higher percentages than women).
A Type System for Optimization Verifying

This paper presents a type theoretical framework for the verification of compiler optimizations. Although today’s compiler optimizations are fairly advanced, there is still not an appropriate theoretical framework for the verification of compiler optimizations. To establish a generalized theoretical framework, we introduce assignment types for variables that represent how the value of variables will be calculated in a program. In this paper, first we introduce our type system. Second we prove soundness of our type system. This implies that the given two programs are equivalent if their return values are equal in types. Soundness ensures that many structure preserving optimizations preserve program semantics. Furthermore, by extending the notion of type equality to order relations, we redefine several optimizations and prove that they also preserve program semantics.
Seed germination inLaunaea arborescens: a continuously flowering semi-desert shrub☆

Achenes (seeds) of the perennial shrub Launaea arborescens (Asteraceae) germinated under a wide range of environmental conditions. None of the seeds were dormant, nor was there any evidence that dormancy could be induced. Apparently, this semi-desert species has no means of preventing immediate germination. Achenes are produced and dispersed throughout the year, and we suggest that the timing of germination is regulated by the duration and degree of wetting and the presence of moderate soil temperatures. This germination behaviour suggests that there is no mechanism by which the germination of seeds formed one year can be delayed until subsequent years. By contrast, most desert plants accumulate persistent seed banks. The germination strategy of L. arborescens must be considered opportunistic, and we suggest that the survival of populations is ensured by other life history traits like continuous iteroparity and effective dispersal by wind.
Cults , Violence and Religious Terrorism : An International Perspective

One of the significant changes in the field of terrorism over the past 20 years has been the increase in the number of groups claiming religious beliefs as a source of legitimacy for their actions. 1 Observers first paid attention to Islamic radical movements; however, it has become clear that some new religious movements as well could pose threats to public security. The sarin gas attack in Tokyo by Aum Shinrikyo on 20 March 1995 represented a turning point. The case of Aum Shinrikyo made a deep impression not only due to its magnitude and to a frightening scenario, but also because it made the attempt at a wide-scale use of biological and chemical weapons by a terrorist group a reality.2 Should violent actions committed by religious groups outside the mainline be considered as a specific sub-category of terrorism with distinctive patterns? To anybody familiar with the extreme variety of contemporary alternative religious groups, this obviously needs closer examination before making any statement about an alleged "global threat of religious cults. "3
Test of the correlation between body size and DNA content in Pimelia (Coleoptera: Tenebrionidae) from the Canary Islands

Comparative analyses of interspecific data in evolutionary biology usually require specific methods to remove the effects of phylogenetic inertia. When phylogenetic inertia is not considered, the Canarian Pimelia species show a positive, and almost significant (Prob. = 0.066) correlation between nuclear genome size and body size. However, after controlling for phylogenetic inertia there was a negative and significant correlation (Prob. = 0.007 to 0.017, depending on the DNA fraction considered). Such a change in the relationship after controlling for phylogenetic inertia is rarely reported. Moreover, the relationship usually reported is positive and thought be a consequence of species having a similar number of cells at the same stage of development. The aim of the present study is to report a case of a negative correlation, but not to explain the causal mechanism involved in genome size variations or propose a formal hypothesis on the specific links between DNA content and body size. However, a common explanation of the change in the relationship, i.e., positive to negative, is suggested. Moreover, the data available on the highly repetitive, non-coding satellite DNA allows us to analyse the specific pattern exhibited by this fraction.
Planning for Product Platforms

By sharing components and production processes across a platform of products, companies can develop differentiated products efficiently, make their manufacturing processes more flexible, and take market share away from competitors that develop only one product at a time. The platform approach also enables companies to manufacture products in high volumes that are tailored to meet the needs of individual customers. A platform is a collection of assets ? components, processes, knowledge, people, and relationships ? that are shared by a set of products. The platform planning effort involves two key tasks. First, product planning and marketing managers determine which market segments to enter, what the customers in each segment want, and what product attributes will appeal to those customers. Second, system-level designers decide what product architecture to use to deliver the different products while sharing parts and production steps across the products. Using an example from the automobile industry ? the design of an instrument panel, or dashboard ? the authors illustrate how the platform-planning process works. They point out three key ideas that underlie the process: 1. Customers care about distinctiveness, how closely the product meets their needs. At the same time, the cost of a firm's internal operations is driven by the level of parts held in common among a group of products. 2. Given a particular product architecture, a trade-off exists between distinctiveness and commonality. 3. Product architecture dictates the nature of the trade-off between distinctiveness and commonality. By developing and aligning three tools ? a product plan, a differentiation plan, and a commonality plan ? managers can balance the need for distinctiveness with the need for commonality. Together these tools provide a common language that a company's marketing, design, and manufacturing functions can all understand. To successfully meet the challenges inherent in the platform approach, the process must be cooperative, involving all key functions, and must be guided by top management.
Face Recognition using Curvelet Transform and (2D)PCA

This paper proposes a novel algorithm for face recognition, which is based on curvelet transform and (2D)PCA. Contrast to traditional tools such as wavelet transform, curvelet transform has better directional and edge representation abilities. Inspired by these attractive attributes, we decompose face images to get low frequency coefficients by curvelet transform. (2D)PCA with an exponential decay factor is applied on these selected coefficients to extract feature vectors, which will achieve dimension reduction as well. The nearest neighbor classifier is adopted for classification. Extensive comparison experiments on different data sets are carried out on ORL and Yale face database. Results prove that the proposed algorithm has high recognition accuracy and short recognition time, and it is also robust to changes in pose, expression and illumination.
Appropriateness of Antibiotic Use in Enteric fever inpatients in Tertiary Care Hospitals in Western Nepal: A Cross-Sectional Study

Background: Enteric fever, also known as typhoid fever, is a commonly diagnosed disease in Nepal. Globally, enteric fever affects 21.6 million people and causes 216500 deaths annually. Appropriate use of antibiotics is a key element in the successful treatment of enteric fever. Objective: The study was aimed to study antibiotic use and their appropriateness in the patient with Enteric Fever . Methods: A cross-sectional study was carried out in two tertiary-care hospitals viz. Manipal Teaching Hospital (MTH) and Western Regional Hospital (WRH) in western Nepal between Aug- September 2010. Appropriateness in this study was assessed using Medication Appropriateness Index (MAI) criteria which include indication, effectiveness, dosage, correct directions, practical directions, drug-drug interactions, drug-disease interactions, duplication, duration and expense. Results: Mean use of antibiotics in WRH (2.18±0.87) was not significantly different (P = 0.015) from MTH (2.13±1.11). The Cephalosporin group of antibiotics was used widely to treat enteric fever in both hospitals. On average 1.12 Cephalosporin per patient in MTH and 0.93 Cephalosporin per patient in WRH were used. On average, we found that 31.7% in MTH and 39.5% in WRH of patient’s treatments with antibiotics were inappropriate. Other common types of inappropriateness are expensive drugs [90% (MTH), 92% (WRH)] duplication of antibiotics [53% (MTH), 822% (WRH)], prescribing high generation antibiotics [80% (MTH), 89% (WRH)], and practical direction [17% (MTH), 33% (WRH)]. Conclusion: Conclusively, more than thirty percent of patients in both of hospitals treated for enteric fever received inappropriate antibiotics. Hence we recommend future education or managerial intervention to improve appropriateness. DOI: http://dx.doi. org/10.3126/nje.v3i1. 8289 Nepal Journal of Epidemiology 2013;3 (1): 236-242
Comparative gene and QTL mapping in aquaculture species

As from January 2010 The Israeli Journal of Aquaculture Bamidgeh (IJA) will be published exclusively as an on-line Open Access (OA) quarterly accessible by all AquacultureHub (http://www.aquaculturehub.org) members and registered individuals and institutions. Please visit our website (http://siamb.org.il) for free registration form, further information and instructions. This transformation from a subscription printed version to an on-line OA journal, aims at supporting the concept that scientific peer-reviewed publications should be made available to all, including those with limited resources. The OA IJA does not enforce author or subscription fees and will endeavor to obtain alternative sources of income to support this policy for as long as possible.
Content Analysis: Supplier Selection Process using Multi-criteria approaches

Supplier selection can be considered as the foundation of Supply Chain Management. In this competitive business environment, it is crucial to select the best supplier among all the alternatives. For this purpose, researchers developed number of selection criteria and methods. These selection criteria and methods helping to solve this supplier selection problem within different industries. In this process, supplier selection literature has been enriched by involving several multi-criteria decision-making systems. The aim of this paper is to demonstrate Content Analysis on existing literature on supplier selection process using multi-criteria decision-making system to understand the progress of this sector over the span of time till 2014.