LLukas22/scidocs huggingface dataset:
FANET Based Flights Monitoring Simulation System Over Cloud

As mounting population and need of advance commutes systems, available vehicular ad hoc networks (VANET) systems will not suffice the communication complex issues between vehicles on land, water and air. In order to meet ever growing challenges, VANET cloud computing techniques start contributing with its supple state line less storage, high end virtual techniques and logical schema connectivity to make commute rich, safe and pleasure experience to users. In this paper, we proposed an architectural model for flight monitoring simulation, which optimizes the scheduling of flights in the most prominent manner by centralizing all resources at single cloud which optimizes the time management of effective communication among resources. This model will be an immense resource not only for commercial flights but also for air force navigation systems. VANET existing systems were designed for vehicular networks while our proposed solution flying ad hoc networks (FANET) or Flights Air Networks adapts VANET approach on high speed air traffic, FANET may use electromagnetic waves for data transfer between flights as electromagnetic waves speed is much higher than flights speeds, it may ensure timely communication between flights and other communicating sources. V. Tiwari (&) K. Sharma B.K. Chaurasia Department of CSE, ITM University Gwalior, Gwalior, India e-mail: getvipultiwari@gmail.com K. Sharma e-mail: kapil.rjit@gmail.com B.K. Chaurasia e-mail: bkchaurasia.itm@gmail.com © Springer India 2015 V. Lakshminarayanan and I. Bhattacharya (eds.), Advances in Optical Science and Engineering, Springer Proceedings in Physics 166, DOI 10.1007/978-81-322-2367-2_52 417 www.NoavaranGermi.ir
A probabilistic model for optimal insurance contracts against security risks and privacy violation in IT outsourcing environments

Day by day the provision of information technology goods and services becomes noticeably expensive. This is mainly due to the high labor cost for the service providers, resulting from the need to cover a vast variety of application domains and at the same time to improve or/and enhance the services offered in accordance to the requirements set by the competition. A business model that could ease the problem is the development or/and provision of the service by an external contractor on behalf of the service provider; known as Information Technology Outsourcing. However, outsourcing a service may have the side effect of transferring personal or/and sensitive data from the outsourcing company to the external contractor. Therefore the outsourcing company faces the risk of a contractor who does not adequately protect the data, resulting to their non-deliberate disclosure or modification, or of a contractor that acts maliciously in the sense that she causes a security incident for making profit out of it. Whatever the case, the outsourcing company is legally responsible for the misuse of personal data or/and the violation of an individual’s privacy. In this paper we demonstrate how companies adopting the outsourcing model can protect the personal data and privacy of their customers through an insurance contract. Moreover a probabilistic model for optimising, in terms of the premium and compensation amounts, the insurance contract is presented.
Perceived Organizational Support, Psychological Empowerment, Organizational Citizenship Behavior, Job Performance and Job Embeddedness: A Research on the Fast Food Industry in Istanbul, Turkey

The objective of this study was to provide empirical evidence on the relationships among psychological empowerment, perceived organizational support, organizational citizenship behavior, job embeddedness and job performance. Fast food restaurants have existed in Turkey for more than 20 years over which time they have registered an average of 10 percent growth per year, and have attracted foreign fast food chains to invest in Turkey. Istanbul has the most fast food restaurants throughout Turkey with 45 percent. Thus, the fast food restaurants which are located in Istanbul is focused in this study. Questionnaires were distributed to approximately 700 employees and data were collected from June to July 2013. The response rate was 61.2%. Structural equation modelling was used to test the relationships between variables. The results that obtained through the tests support the hypothesized model. This research represented a strong relationship between psychological empowerment, perceived organizational support, organizational citizenship behavior, job embeddedness (as a moderator) and job performance of the employees in fast food industry in Istanbul, Turkey. This result is noteworthy for employers and managers to retain their talented employees. In addition to that, since there is not any study that conducted in fast food industry in this study’s context in the literature, this study makes a valuable contribution to the literature.
Mock Circulatory Loop Compliance Chamber Employing a Novel Real-Time Control Process.

The use of compliance chambers in mock circulatory loop construction is the predominant means of simulating arterial compliance. Utilizing mock circulatory loops as bench test methods for cardiac assist technologies necessitates that they must be capable of reproducing the circulatory conditions that would exist physiologically. Of particular interest is the ability to determine instantaneous compliance of the system, and the ability to change the compliance in real-time. This capability enables continuous battery testing of conditions without stopping the flow to change the compliance chamber settings, and the simulation of dynamic changes in arterial compliance. The method tested involves the use of a compliance chamber utilizing a circular natural latex rubber membrane separating the fluid and air portions of the device. Change in system compliance is affected by the airspace pressure, which creates more reaction force at the membrane to the fluid pressure. A pressure sensor in the fluid portion of the chamber and a displacement sensor monitoring membrane center deflection allow for real-time inputs to the control algorithm. A predefined numerical model correlates the displacement sensor data to the volume displacement of the membrane. The control algorithm involves a tuned π loop maintaining the volume distention of the membrane via regulation of the air space pressure. The proportional integral (PI) controller tuning was achieved by creating a computational model of the compliance chamber using Simulink™ Simscape® toolboxes. These toolboxes were used to construct a model of the hydraulic, mechanical, and pneumatic elements in the physical design. Parameter Estimation™ tools and Design Optimization™ methods were employed to determine unknown physical parameters in the system, and tune the process controller used to maintain the compliance setting. It was found that the resulting control architecture was capable of maintaining compliance along a pressure-volume curve and allowed for changes to the compliance set point curve without stopping the pulsatile flow.
Tightly coupled GPS/INS integration for missile applications Tightly-coupled GPS/INS Integration für unbemannte Fluggeräte

An approach to enhance the performance of tightly coupled GPS/INS systems is described. First, the advantages of tightly coupled systems compared to loosely coupled systems are clarified. Then, it is shown in hardware-in-the-loop tests and in a test drive that processing time differenced carrier phase measurements instead of delta-range measurements results in an increased velocity and attitude accuracy for the tightly coupled system, which is of great importance in the beginning of a time interval with purely inertial navigation, e.g. when GPS is lost due to jamming. A measurement equation is derived allowing to process the time differenced carrier phase measurements in the navigation Kalman filter. Finally, the proposed method is applied to missile navigation systems, where significant vibrations enter the inertial sensor data.  2004 Elsevier SAS. All rights reserved.
Poverty, Malnutrition and Biological Dynamics among Tribes of India

Background: India is enduring a rapid socio-economic, demographic, nutritional and health transition. According to article 47 of the Constitution of India "the State shall regard raising the level of nutrition and standard of living of its people and improvement in public health among its primary duties". However, India has not yet overcome the problems of poverty, under nutrition and communicable diseases. Aim: The aim of the present study was to highlight the socio-economic transition along with lifestyle modifications which result in urgent health problems in majority of tribal groups. Methodology: The present study is a compilation of various studied tribal population of India by research scientists. By comparing the tribes from different geographic region and find out the reason of poverty and under nutrition among them even after providing support and funds from government and other organizations was incorporated. Results/Findings: There was a transition from their early occupation to the present occupation which imbalance life of the tribes. Shift from agriculture or hunting gathering to daily wagers was a severe shock for them which could be the reason for deterioration of their health. The mean value of majority of tribal population was less than 18.5 kg/m2 which was considered as underweight according to guidelines of WHO. Conclusion: The present study clearly showed that there is a need to identify, reorganize and reallocate resources for tribal communities, based on their requirements. The design of the development programmes and the health needs of the tribal population have to be identified keeping in mind their habitat and socio cultural practices.
Development, validity and responsiveness of the Clinical COPD Questionnaire

BACKGROUND
The new Global Obstructive Lung Disease (GOLD) guidelines advice to focus treatment in Chronic Obstructive Pulmonary Disease (COPD) on improvement of functional state, prevention of disease progression and minimization of symptoms. So far no validated questionnaires are available to measure symptom and functional state in daily clinical practice. The aim of this study was to develop and validate the Clinical COPD Questionnaire (CCQ).


METHODS
Qualitative research with patients and clinicians was performed to generate possible items to evaluate clinical COPD control. Thereafter, an item reduction questionnaire was sent to 77 international experts. Sixty-seven experts responded and the 10 most important items, divided into 3 domains (symptoms, functional and mental state) were included in the CCQ (scale: 0 = best, 6 = worst).


RESULTS
Cross-sectional data were collected from 119 subjects (57 COPD, GOLD stage I-III; 18 GOLD stage 0 and 44 (ex)smokers). Cronbach's alpha was high (0.91). The CCQ scores in patients (GOLD 0-III) were significantly higher than in healthy (ex)smokers. Furthermore, significant correlations were found between the CCQ total score and domains of the SF-36 (rho = 0.48 to rho = 0.69) and the SGRQ (rho = 0.67 to rho = 0.72). In patients with COPD, the correlation between the CCQ and FEV1%pred was rho =-0.49. Test-retest reliability was determined in 20 subjects in a 2-week interval (Intra Class Coefficient = 0.94). Thirty-six smokers with and without COPD showed significant improvement in the CCQ after 2 months smoking cessation, indicating the responsiveness of the CCQ.


CONCLUSION
The CCQ is a self-administered questionnaire specially developed to measure clinical control in patients with COPD. Data support the validity, reliability and responsiveness of this short and easy to administer questionnaire.
Evaluation of leaf aqueous extract and synthesized silver nanoparticles using Nerium oleander against Anopheles stephensi (Diptera: Culicidae)

Green nanoparticle synthesis has been achieved using environmentally acceptable plant extract and ecofriendly reducing and capping agents. The present study was carried out to establish the larvicidal activity of synthesized silver nanoparticles (AgNPs) using leaf extract of Nerium oleander (Apocynaceae) against the first to fourth instar larvae and pupae of malaria vector, Anopheles stephensi (Diptera: Culicidae). Nanoparticles are being used in many commercial applications. It was found that aqueous silver ions can be reduced by the aqueous extract of the plant parts to generate extremely stable silver nanoparticles in water. The results were recorded from UV–Vis spectrum, Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), and energy-dispersive X-ray (EDX) spectroscopy analysis. The production of the AgNPs synthesized using leaf extract of N. oleander was evaluated through a UV–Vis spectrophotometer in a wavelength range of 200 to 700 nm. This revealed a peak at 440 nm in N. oleander leaf extracts, indicating the production of AgNPs. The FTIR spectra of AgNPs exhibited prominent peaks at 509.12 cm−1 (C–H bend alkenes), 1,077.05 cm−1 (C–O stretch alcohols), 1,600.63 cm−1 (N–H bend amines), 2,736.49 and 2,479.04 cm−1 (O–H stretch carboxylic acids), and 3,415.31 cm−1 (N–H stretching due to amines group). An SEM micrograph showed 20–35-nm-size aggregates of spherical- and cubic-shaped nanoparticles. EDX showed the complete chemical composition of the synthesized nanoparticles of silver. Larvicidal activity of aqueous leaf extract of N. oleander and synthesized AgNPs was carried out against Anopheles stephensi, and the results showed that the highest larval mortality was found in the synthesized AgNPs against the first to fourth instar larvae and pupae of Anopheles stephensi with the following values: LC50 of instar larvae 20.60, 24.90, 28.22, and 33.99 ppm; LC90 of instar larvae 41.62, 50.33, 57.78, and 68.41 ppm; and LC50 and LC90 of pupae 39.55 and 79.10 ppm, respectively. The aqueous leaf extract exhibited larval toxicity against the first to fourth instar larvae and pupae of Anopheles stephensi with the following values: LC50 of instar larvae 232.90, 273.71, 318.94, and 369.96 ppm; LC90 of instar larvae 455.95, 563.10, 639.86, and 730.30 ppm; and LC50 and LC90 of pupae 426.01 and 805.13 ppm, respectively. The chi-square value was significant at p < 0.05 level. The possible larvicidal activity may be due to penetration of nanoparticles through a membrane. The results could suggest that the use of plant N. oleander to synthesize silver nanoparticles is a rapid, environmentally safer, and greener approach for mosquito control. This could lead us to a new possibility in vector-control strategy.
Refining Initial Points for K-Means Clustering

Practical approaches to clustering use an iterative procedure (e.g. K-Means, EM) which converges to one of numerous local minima. It is known that these iterative techniques are especially sensitive to initial starting conditions. We present a procedure for computing a refined starting condition from a given initial one that is based on an efficient technique for estimating the modes of a distribution. The refined initial starting condition allows the iterative algorithm to converge to a “better” local minimum. The procedure is applicable to a wide class of clustering algorithms for both discrete and continuous data. We demonstrate the application of this method to the popular K-Means clustering algorithm and show that refined initial starting points indeed lead to improved solutions. Refinement run time is considerably lower than the time required to cluster the full database. The method is scalable and can be coupled with a scalable clustering algorithm to address the large-scale clustering problems in data mining.
An Ontology for Skill and Competency Management

To stay competitive within the market, organizations need to understand the skills and competencies of their human resources in order to best utilize them. This paper focuses on the problem of modeling human resources in a dynamic environment, and presents a formal ontology for representing, inferring, and validating skills and competencies over time.
A hardware-friendly soft-computing algorithm for image recognition

A robust image recognition algorithm has been developed aiming at direct implementation in a bio-inspired hardware accelerator chip. The characteristic features in an original gray-scale image of 64×64-pels (i.e., a 4096-dimension vector) are extracted by a newly-developed Principal Axes Projection (PAP) method and compressed to form a 64-dimension characteristic vector. Despite the large dimensionality reduction, the essential features in the original image are well retained in the vector representation. As a result, very robust image recognition has become possible by using a simple template matching technique. Although the matching with a large number of templates is computationally very expensive, we rely upon the already-developed vector matching LSI's featuring about 1000 GOPS performance for template matching [1-3]. The present algorithm has been successfully applied to medical radiograph analysis and handwriting pattern recognition, and its robust nature in recognition tasks has been proven by intensive computer simulation.
Update of TTD: Therapeutic Target Database

Increasing numbers of proteins, nucleic acids and other molecular entities have been explored as therapeutic targets, hundreds of which are targets of approved and clinical trial drugs. Knowledge of these targets and corresponding drugs, particularly those in clinical uses and trials, is highly useful for facilitating drug discovery. Therapeutic Target Database (TTD) has been developed to provide information about therapeutic targets and corresponding drugs. In order to accommodate increasing demand for comprehensive knowledge about the primary targets of the approved, clinical trial and experimental drugs, numerous improvements and updates have been made to TTD. These updates include information about 348 successful, 292 clinical trial and 1254 research targets, 1514 approved, 1212 clinical trial and 2302 experimental drugs linked to their primary targets (3382 small molecule and 649 antisense drugs with available structure and sequence), new ways to access data by drug mode of action, recursive search of related targets or drugs, similarity target and drug searching, customized and whole data download, standardized target ID, and significant increase of data (1894 targets, 560 diseases and 5028 drugs compared with the 433 targets, 125 diseases and 809 drugs in the original release described in previous paper). This database can be accessed at http://bidd.nus.edu.sg/group/cjttd/TTD.asp.
The Dynamics of Warmth and Competence Judgments, and Their Outcomes in Organizations

Two traits – warmth and competence – govern social judgments of individuals and groups, and these judgments shape people's emotions and behaviors. The present chapter describes the causes and consequences of warmth and competence judgments; how, when and why they determine significant professional and organizational outcomes, such as hiring, employee evaluation, and allocation of tasks and resources. Warmth and competence represent the central dimensions of group stereotypes, the majority of which are ambivalent – characterizing groups as warm but incompetent (e.g., older people, working mothers) or competent but cold (e.g., ―model minorities,‖ female leaders), in turn eliciting ambivalent feelings (i.e., pity and envy, respectively) and actions toward members of those groups. However, through nonverbal behaviors that subtly communicate warmth and competence information, people can manage the impressions they make on colleagues, potential employers, and possible investors. Finally, we discuss important directions for future research, such as investigating the causes and consequences of how organizations and industries are evaluated on warmth and competence.
Placental antioxidant enzyme status and lipid peroxidation in pregnant women with type 1 diabetes: The effect of vitamin C and E supplementation.

AIM
In view of the increased rates of pre-eclampsia observed in diabetic pregnancy and the lack of ex vivo data on placental biomarkers of oxidative stress in T1 diabetic pregnancy, the aim of the current investigation was to examine placental antioxidant enzyme status and lipid peroxidation in pregnant women with type 1 diabetes. A further objective of the study was to investigate the putative impact of vitamin C and E supplementation on antioxidant enzyme activity and lipid peroxidation in type 1 diabetic placentae.


METHODS
The current study measured levels of antioxidant enzyme [glutathione peroxidase (Gpx), glutathione reductase (Gred), superoxide dismutase (SOD) and catalase] activity and degree of lipid peroxidation (aqueous phase hydroperoxides and 8-iso-prostaglandin F2α) in matched central and peripheral samples from placentae of DAPIT (n=57) participants. Levels of vitamin C and E were assessed in placentae and cord blood.


RESULTS
Peripheral placentae demonstrated significant increases in Gpx and Gred activities in pre-eclamptic in comparison to non-pre-eclamptic women. Vitamin C and E supplementation had no significant effect on cord blood or placental levels of these vitamins, nor on placental antioxidant enzyme activity or degree of lipid peroxidation in comparison to placebo-supplementation.


CONCLUSION
The finding that maternal supplementation with vitamin C/E does not augment cord or placental levels of these vitamins is likely to explain the lack of effect of such supplementation on placental indices including antioxidant enzymes or markers of lipid peroxidation.
WinBUGS for population ecologists: Bayesian modeling using Markov Chain Monte Carlo methods.

The computer package WinBUGS is introduced. We first give a brief introduction to Bayesian theory and its implementation using Markov chain Monte Carlo (MCMC) algorithms. We then present three case studies showing how WinBUGS can be used when classical theory is difficult to implement. The first example uses data on white storks from Baden Württemberg, Germany, to demonstrate the use of mark-recapture models to estimate survival, and also how to cope with unexplained variance through random effects. Recent advances in methodology and also the WinBUGS software allow us to introduce (i) a flexible way of incorporating covariates using spline smoothing and (ii) a method to deal with missing values in covariates. The second example shows how to estimate population density while accounting for detectability, using distance sampling methods applied to a test dataset collected on a known population of wooden stakes. Finally, the third case study involves the use of state-space models of wildlife population dynamics to make inferences about density dependence in a North American duck species. Reversible Jump MCMC is used to calculate the probability of various candidate models. For all examples, data and WinBUGS code are provided.