Miracle-dz/UniFAR-FTUs huggingface dataset:
Strategic decision-making and game theoretic approach for the commercialization of nanotechnology

Game theory cannot be implemented successfully until practical models and the platform on which it can be simulated are explored. The applications of the game theory for various technical problems are introduced and a model for nanotechnology is developed. Recent applications of nanotechnology are considered for model development, with a focus on its application in companies wishing to implement nanotechnology in their future products. The implementation of such models is met by an HPC setup which is used for the developed game theory-based computations for the commercialization of nanotechnology. A classical game is defined depending on various parameters required to predict the rate of commercialization of a nano device. The rate of commercialization is developed and the gaming model is modelled with reference to the commercialization theory. Equilibrium cases pertaining to business in nano domains are studied and a proposal on the impact of various strategic profiles with the payoff is computed. This study is applicable in the study of nanotech wars which may resort to extensive use of nano materials. It can also be used for the estimation of time taken for the commercialization of a nano device. The strategy of a company for the commercialization and implementation of a novel nano device can be affected by other companies’ efforts to do the same; therefore, the need of strategic decision-making emerges. In such strategic conditions, the model may assists companies in their decision-making. In this case, the modelling complexity increases; this aspect has been addressed and the modelling was simplified seeking for a better understanding of the phenomenon.
Aproceros leucopoda (Hymenoptera: Argidae): An East Asian pest of elms (Ulmus spp.) invading Europe

An invasive sawfly Aproceros leucopoda Takeuchi, 1939, which originates from East Asia, has colonized elms (Ulmus spp.) in Austria, Hungary, Poland, Romania, Slovakia and the Ukraine, at least since 2003. In Europe, the larvae can completely defoliate native and non-native elm trees and may cause at least partial dieback. Field observations indicate that elms are infested independent of their age and site characteristics. The life cycle of A. leucopoda is described based on material reared in Hokkaido, Japan. Parthenogenetic reproduction, short life cycle of summer generations and the ability to produce four generations per year result in the production of numerous progeny. The evolution of a seasonal dimorphism in head morphology, a simple cocoon that is attached directly to the host plant and a short period spent in the cocoon stage during summer, are putative apomorphies shared by Aproceros Takeuchi, 1939 and Aprosthema Konow, 1899. These traits reduce developmental costs and contribute to the proliferation of A. leucopoda. No specialized parasitoid, that can effectively reduce outbreaks of this species, is known. It is likely that this pest will spread into central and south-western Europe. Further monitoring of A. leucopoda is required to assess future range extensions in Europe, its exacerbating effect on Dutch elm disease and to find a suitable biocontrol agent. Concise keys to imaginal and larval stages are presented that will facilitate the identification of A. leucopoda.
Opinion Extraction of Public Figure Based on Sentiment Analysis from Twitter

Twitter is a microblog that can generate an information from users such as sentiment about public figures. Sentiment analysis of public figure interpret the positive or negative response. This study aims to create system that automatically can extract the opinion about public figure based on sentiment analysis in twitter using two novel features, they are specific term and number of followers public figures lover and hater. Several step to determine the sentiment of public figure are preprocessing, weighting, classifying, and determining sentiment response. In this paper we use six public figures to be observed. This research resulting precision 99%, recall 75%, and accuracy 76,67%.
Sherlock: A Coached Practice Environment for an Electronics Troubleshooting Job.

Abstract : Sherlock is a computer-based supported practice environment for a complex troubleshooting job in th Air Force. This chapter describes the training problem for which Sherlock was developed, the principles behind its development, and its implementation. The training problem is severe and representative of a common problem in our high-technology society. People who will fill a position for a brief period (four years or less for many in this Air Force job) carry out a set of routine tasks which are well supported by technology. However, periodically, a breakdown occurs: a novel situation requiring sophisticated problem solving for which little support is available. In many cases, such problems must be referred to an expert, but such expertise is difficult to acquire. Semiautomated, routinized jobs do not afford sufficient opportunities for complex problem-solving skills to develop, so their incumbents lack the skill required to handle novel problems. Sherlock is an environment in which this missing skill can be acquired for a specific troubleshooting job. The job domain. Sherlock was developed to raise the level of F-15 Manual Avionics Test Station Technicians' troubleshooting knowledge. These technicians repair electronic modules that have been removed from F-15 aircraft because of suspected malfunction. In their daily work, they follow detailed written troubleshooting procedures (part of their Technical Orders) and use a test station. The test station is a large (40 ft) system of electronic equipment to which the module being diagnosed can be attached.
Monetary Policy and the Credit Channel: Evidence from India

Credit channel of monetary transmission mechanism provides an alternative transmission channel of monetary shock through the asset side of the banking system. Based on the literature on market imperfection, it presents some appealing arguments on supply side effects of innovations in monetary policy, which are of relevance to developing countries. We test the empirical validity of credit channel in India in the context of the mid-nineties episode of the adverse monetary shock. The evidence suggests the operation of a balancesheet channel with the effect of an adverse monetary shock falling disproportionately on bank-dependent firms. The evidence in respect to an aggregate lending channel is mixed.
Enzymolysis-Assisted Treatments for Improved Phytochemical Contents and Bioactivities Levels from Unfertilized Corn Silk Extracts

Corn silk is an excellent source of many bioactive compounds, which is well known functional food and traditional herbal medicine. The aim of this study was to evaluate the effects of Novozym 33095 treatment to improve the phytochemical contents and bioactivities in unfertilized corn silk ethanol extracts. Furthermore, the treatment conditions were simultaneously optimized using a response surface methodology with a central composite design. The influence of Novozym 33095 concentration, reaction temperature, and reaction time on total polyphenol contents, total flavonoid contents, maysin contents, 2,2-diphenyl- 1-picrylhydrazyl radical scavenging activities, and tyrosinase inhibition was analyzed. The following optimal conditions were determined by simultaneous optimization of several responses with the Derringer’s desirability function using the numerical optimization function of the Design-Expert program: Novozym 33095 concentration 0.11 ml/L, reaction temperature 20°C, and reaction time 120 min. Under these conditions, the predicted values of total polyphenol contents, total flavonoid contents, maysin contents, 2,2-diphenyl-1-picrylhydrazyl radical scavenging activity, and tyrosinase inhibition were 5462.26 μg GAE/g dried sample, 3932.03 μg QUE/g dried sample, 3213.64 mg/100 g dried sample, 87.57%, and 75.78%, respectively, and the overall desirability (D) was 0.73. Those values of unfertilized corn silk ethanol extracts were 2921.32 μg GAE/100 g dried sample, 1703.69 μg QUE/g dried sample, 801.40 mg/100 g dried sample, 62.34%, and 48.21%, respectively, demonstrating significant improvement from Novozym 33095 treatment.
Study on Efficiency of Evacuation with an Obstacle on Hexagonal Cell Space

The authors of this paper have found that putting an obstacle in front of an exit in a congested situation increases the pedestrian outflow, which is the number of pedestrians going through an exit with a unit width in a unit time, from their experiments. In this paper, the effects of conflicts and turning, which affect the pedestrian outflow significantly, are introduced by the frictional and turning functions to analyze the effect of an obstacle. They clearly explain the mechanism of the effect of an obstacle, i.e., it blocks a pedestrian moving to the exit and decreases the average number of pedestrians involved in the conflict. The authors have also studied when an obstacle contributes to ease the congestion most effectively. The results of their simulation indicate that its maximum efficacy is achieved at the point where the cluster of pedestrians is started to form. The mean traveling time of pedestrians becomes a quarter if an obstacle is set up since it prevents the formation of the cluster against increase of the inflow by reducing the impact of conflicts.
Resource theory under conditioned thermal operations

The thermal operations framework developed in past works is used to model the evolution of microscopic quantum systems in contact with thermal baths. Here we extend this model to bipartite devices with one part acting as a control external to the system-bath setup. We define the operations of such hybrid devices as conditioned thermal operations. We examine the resource under these operations, which we call conditional athermality. In the quasiclassical limit, we quantify this resource and find the conditions for its conversion between different forms.
Zonal large-eddy simulation of a tip leakage flow

The flow induced by the clearance between the tip of an isolated airfoil and an end-plate is investigated numerically, using a zonal approach with large-eddy simulation in the region of interest. The results are analyzed in comparison with available experimental data, presented in a companion paper. The incoming boundary layer and the pressure distribution around the blade are evaluated. The description of the inflow-jet deviation, with an averaged approach, enables to represent the proper loading on the airfoil. Also, particular attention is paid to the powerful tip-leakage vortex. The vortex characteristics are investigated using specific functions to locate its center and quantify its width. Overall, good results are obtained for the flow statistics and spectra. Furthermore, a very good description of the far-field pressure is achieved using the acoustic analogy, and the results confirm that the tip-flow essentially radiates in the central frequency range (0.7 kHz, 7 kHz).
Valuation of a digital operating room in the public health care sector- a case study in cooperation with Smith & Nephew

Technological progress takes place all the time and in all sorts of sectors in our society. A computerization of nearly all companies worldwide has taken place and barely any company in developed countries can stay away from using IT today. Numerous IT evaluation methods have been developed to find methods to investigate how IT solutions can supply to business performance and economic growth and how these benefits could be valued. Problems with valuing IT and modern technology are present also in the health care sector, which is one of the most expanding areas developing new technology. The goal of the Swedish health and medical care system is to ensure good health and provide care on equal terms for the entire population. A hospital confronts numerous decisions, such as which investment to make and why these investments are well aligned with their strategy, in order to reach these goals with limited resources. There are several aspects that are difficult or even impossible to financially value, such as patient satisfaction, ergonomics and other intangible values, when valuing a digital operating room. The main focus of this thesis is directed to the aspects for the specific investment of a digital OR from an investor’s point of view. The purpose of this report is to identify the most important aspects in view of the valuation of an investment of a digital operating room and to derive a model that can be used in valuing these kinds of investments within the public health care sector. This model is supposed to be used by an investor when choosing between different investment options and also to be used by companies to improve and pinpoint the utility of their digital OR and hence strengthen their position on the market. To be able to reach a reliable valuation of a digital OR investment, problems that can occur when valuing an investment of this type was identified. Thereafter, theoretical based literature and empirical data, collected by mainly interviews, has been studied and analyzed and the pros and cons of the commonly accepted theories were weighted to be able to select the most suitable theories. This ended up, after making use of the most suitable methods from all valuation models existing according to chosen criteria, in a new valuation model, the Dynamic Multi-Variable Decision Model, for the digital OR which can give a more suitable and combined valuation of both tangible and intangible assets.
Machine Learning Based Comparison of Pearson's and Partial Correlation Measures to Quantify Functional Connectivity in the Human Brain

Functional connectivity gives the statistical association or dependence between two or more distinct time series. Quantification of functional connectivity is normally done using Pearson's correlation coefficient, which measures the degree of co-activation of two different brain regions. But the brain does not function merely on pairwise relations. Brain functioning is based on interrelationships between several functional units simultaneously. Partial correlation is one such measure which considers these interrelationships. It quantifies the correlation between two distinct time series, but also removes the confound of the other correlations. This paper compares these two measures using functional magnetic resonance images in a machine-learning framework. Connectivity analysis and classification of autistic individuals from control population was done using these two measures. Classification accuracies were compared, with the conclusion that the measure which results in statistically significant accuracy has better predictive ability, and is better suited for fMRI functional connectivity modelling. It was experimentally found that Pearson's correlation coefficient gave better classification accuracy of around 2% than partial correlation measure.
The System Design of Vision-Based Intelligent Robots

Equipping with a vision system for robot is an important tendency for the development of intelligent robots. To explore the applications problems of visual robot in wood processing, we have designed vision-based wood stacking robot system, the system has combined visual system and industrial robots, using vision to recognize and locate targets, and then robots can achieve wood stacking tasks automatically. In experiment, we’ve built a visual platform and simulated wood processing workspace, then the system uses robot to complete wood identification, classification and stacking work. The experiment shows that the visual system can drive robot to complete the work stably and accurately. Keywords-visual system; robot; wood; location; stacking
Innovation and Economic Growth in European Union. Panel Data Analysis

This study examines the relationship between technological innovation and economic growth in European Union countries over the period 1993-2011. Using Blundell and Bond (1998) generalized method of the moments estimation technique, the study provides evidence that R&D expenditures and patent activities differ in terms of fostering economic growth between EU-15 and EU-13 countries. The main results indicate that there is no significant impact of R&D expenditures on the economic growth and that patent activities determine economic growth in EU-13 subsample and EU-28 as a whole. The study suggests that there may be no one particular recipe for growth for all EU countries and put into question whether setting common numerical targets in EU’s innovation policy makes economic sense
Parasite-associated phenotype modifications in threespine stickleback

The threespine stickleback fish, Gasterosteus aculeatus, is parasitized by the tapeworm Schistocephalus solidus in freshwater habitats. The competency of the parasite to infect a definitive host, one of many piscivorous birds, is associated with behavioral changes in parasitized stickleback that are likely to increase the chance of transmission to a definitive host. Over a limited geographical range, large tapeworm size is also associated with demelanization, a phenotypic change in the stickleback host that involves a dramatic loss of melanin in the skin and, simultaneously, a darkening of the eye. We demonstrate that stickleback harboring a worm large enough to be infective to a definitive host exhibit behavioral shifts likely to enhance transmission, but that these changes are substantially magnified in demelanized individuals, all of which were infected by large tapeworms. The results were similar whether we used a model of a bird flown over an aquarium, or a preserved trout moved to simulate attack under field conditions. Because changes in the levels of response to both kinds of predators were similar, we infer that behavioral modifications that enhance susceptibility to visually hunting predators that are definitive hosts also enhance susceptibility to visually hunting predators (e.g. trout) that are not. In lakes where predatory fishes are common, the impact on S. solidus transmission could be substantial. Although other studies have suggested that positive buoyancy, forcing infected fish to remain near the surface, is one cause of these behavioral shifts, we detected no differences in water column position among unparasitized and parasitized classes of stickleback. Instead, infected stickleback appeared to move sluggishly and were less likely to respond to simulated attacks than were uninfected fish, and the behavioral shift was most dramatic in demelanized stickleback.
Performance and Analysis of Interleave Division Multiple access using Turbo Encoder

: The efficiency of CDMA system is degraded with number of user increases. CDMA is limited by (MAI) and (ISI) Hence when number of user increases the BER performance also increased. The main limitation in CDMA is that it involves separate coding and spreading operations. A method to enhance the performance of IDMA System turbo codes can be applied to IDMA system, called Turbo coded IDMA System, which is presented recently for combing the advantages of turbo and IDMA. We use regular Turbo coder is used. IDMA uses repetition code. To mitigate MAI and ISI, turbo type iterative MUD (Multi User Detection) is used. In contrast to CDMA, IDMA uses the iterative chip-By-chip (CBC) detection algorithm to overcome intra-cell Interference. An interleave-division multiple-access (IDMA) system supports the presence of multiple users in a cell by resorting to a different interleaver per user. The results Show that the TURBO CODED IDMA is better than other FEC code like convolution code and LDPC code under the same Parameters. Turbo coded IDMA Provide high speed of communication services and low cost of receiver. Turbo codes are used in 3G/4G mobile communications. And in (deep space) satellite communications as well as other applications.
THE RELATIONSHIP BETWEEN INTERNAL PROCESSES AND ORGANIZATIONAL PERFORMANCE IN THE REFERRAL HOSPITALS IN KENYA

This research examined the relationship between Internal Processes and organizational performance in National Referral Hospitals in Kenya. In particular, the study investigated the inconsistency in the relationship between Internal Processes and Organizational Performance. Several studies have been conducted in this field and they delivered inconsistent results with some arguing that there is a positive direct relationship between the two variables while others say that there is no relationship between the two variables while others recommend further research in this field since they argue that the relationship is not clear. The findings of the study indicated that Internal Processes have a significant relationship with organisational performance in referal hospitals in Kenya and that Internal Processes explained 54% of the variations in performance. The results further indicated that a unit change in Internal Processes results in 0.168 increase in performance. Internal processes positively and significantly influenced the performance of referral hospitals in Kenya. (B1=0.168, P=0.000). Keywords: Internal Relations, Work Climate, Organizational Performance, National Referral Hospitals
WORST-CASE EXECUTION TIME TEST GENERATION USING GENETIC ALGORITHMS WITH AUTOMATED CONSTRUCTION AND ONLINE SELECTION OF OBJECTIVES

Worst-case execution time test generation can be dicult if tested programs use complex heuristics. Such programs may fail only on very small subsets of possible input data. Previous works show that evolutionary optimization (in particular, genetic algorithms) is a suitable tool for test generation under such conditions. We present an approach of automated integration of counters in the source code. There are two types of counters: one for counting the number of procedure calls, and another one for counting the number of loop executions. The values of these counters at the end of the program execution, as well as the execution time, serve as optimization objectives. We also propose two new methods for online selection of objectives. Together with the counter integration approach, they augment the already existing test generation method and increase its degree of automation. The experimental results for three example programs and for several objective selection algorithms are presented.
Burn wound: Pathophysiology and its management by herbal plants

In human body, wound healing is a normal biological phenomenon. Burns may be acute or chronic depending upon the source and its time of exposure. Burn wounds may be superficial, partial or full thickness wounds. When skin comes in contact with higher temperature, protein denaturation takes place due to which the plasma membrane integrity is lost. When skin is burned, a number of inflammatory mediators and releasing agents such as histamine, nitric oxide, oxygen free radicals, eicosanoid products, tumor necrosis factors, and interleukins etc., are released at the site. For wound healing mechanism, the keratinocytes has to move from uninjured site to the burned area. For deeper burns this process takes a long time. By some unknown mechanisms, burn wounds may convert from one form to another form. So burn wound depth must be accurately measured before starting the treatment to prevent the complications. Burns can be induced in experimental animals by using different models. Many treatments such as herbal drugs, topical agents, gene therapy, volume therapy, and rehabilitation can be employed. This review article mainly deals with the theoretical and practical aspects of burn wound healing. Some burn wound healing plants with their chemical constituents, plant part used, uses and animal models are described here.