Miracle-dz/UniFAR-FTUs huggingface dataset:
Black Jack - A New Perspective on Protean Career within Management Consulting

Title: Black Jack: A New Perspective on Protean Career within Management Consulting Seminar Date: June 1, 2011 Course: BUSM18 Degree Project in Managing People, Knowledge and Change- Master Level Authors: Victoria Jezierski, Teigan Margetts & Susan Sjolund Advisor EHL: Stephan Schaefer & Katie Sullivan Advisor VCT: Sverre Spoelstra Keywords: Career, protean career, traditional career, management consulting, career metaphors Purpose: The purpose of this study is to investigate in what way employees at a global management consultancy firm experience protean career. Methodology: Meanings and understandings were interpreted through a hermeneutical reading, with the assumption of social constructivism. Theoretical Perspective: The protean career metaphor, as well as parallels we have drawn between protean careers and management consulting careers, provide a theoretical basis for our research. Empirical Foundation: The empirical material for our research was gathered through twelve semi-structured interviews with employees at the case company, Majeste, as well as two supplementary observations. Summary of Findings: Our empirical material illustrated that whilst elements of a protean career are experienced at Majeste, the metaphor does not wholly reflect our interviewees’ career experiences. Two “mysteries” emerge; values inconsistency, and illusions of career control. Therefore, the new metaphor of “Black Jack” is developed to reflect our interviewees’ career experiences.
Novel Segmentation of Iris Images for Biometric Authentication Using Multi Feature Volumetric Measure

The aim of the research is to improve the efficiency of biometric authentication using different features of iris image. The biometric authentication and verification has become more popular where the authentication is more essential in many organizations. There are many approaches has been discussed to segment the iris image and to perform verification but suffers with the problem of accuracy in feature extraction and segmentation. To resolve such problems and to improve the efficiency of iris segmentation and recognition, we propose a novel segmentation algorithm which uses multi level filter which removes the eyelids and eyelash features and performs the edge detection to identify the inner and outer eye regions. Once the regions has been identified then, we compute various measures like the size of inner and outer eyes and extract the features of both and convert them in to feature vectors. The generated feature vectors are used to perform classification in biometric authentication approach. The multi feature volumetric measure is computed on the feature vector of each eye image where the feature vector has various features like the size of both inner and outer eyes, width and height, the original binary features, the number of binary ones and the number of pixels damaged by any form of disease and so on. Based on these features the MFVM is computed to classify the iris image towards a big data set of biometric features to perform authentication. The proposed method has improved the efficiency of iris segmentation and improved the efficiency of iris recognition based biometric authentication. Also the approach has reduced the time complexity and improved the efficiency also.
Factors Affecting The Business Continuity In Micro And Small Enteprises (MSEs) In Jombang

Micro and small enterprises (MSEs) have a major contribution for the economy of the countries such as in Indonesia. This contribution is visible in GDP and employment. However, MSEs is still facing various problems such as the factors that affect the sustainability of MSEs. Problems as well as factors that affect the MSEs business continuity associated with factors of production and human resources including raw materials, product innovation, competence of employers, employees, counseling and guidance, as well as education and training; marketing and promotion factors; factor of production techniques and technologies; and access to credit and capital factors. The survey was conducted on 138 entrepreneurs or MSEs owners in Jombang by using questionnaires and structured interviews. MSEs' criteria which have been surveyed are not only industries producing handicrafts and household appliances, but also engaged in the food processing industry. MSEs' criteria which have been surveyed are already running a business activity over three years and have a number of employees of more than three people. Analyses were performed by using factor analysis, and the results showed that the factors of production and human resources; marketing and promotion factors; factor of production techniques and technologies; and access to credit and capital factors affect the sustainability of the MSE business. Keywords- production and human resources; marketing and promotion; production techniques and technologies; access to credit and capital; business continuity.
Reliability Model for subsystems of CNC Machine Tools based on the Repair Degree

The traditional reliability models of CNC machine tools are based on the assumption that the machine after repair is as-good-as-ne w or as-bad-as-new. But it is not the precise model compared with the Engineering practice. This article focuses on the repair degree to the sub-system of CNC machine tools, and the reliability modeling method was proposed based on incomplete repair circumstances, considering the maintenance degrees. Meanwhile, the model's parameters are calculated using the method integrating maximum likelihood method. Genetic algorithm is used in the solving process. The model is applied to actual data, the results shows that: this model can get the maintenance degrees which reflecting the real states of each sub-system's changes and the intersection of the different failure-periods. It can be the references and basis for the design of reliability and maintainability.
A 70th degree lunar gravity model (GLGM‐2) from Clementine and other tracking data

A spherical harmonic model of the lunar gravity field complete to degree and order 70 has been developed from S band Doppler tracking data from the Clementine mission, as well as historical tracking data from Lunar Orbiters 1–5 and the Apollo 15 and 16 subsatellites. The model combines 361,000 Doppler observations from Clementine with 347,000 historical observations. The historical data consist of mostly 60-s Doppler with a noise of 0.25 to several mm/s. The Clementine data consist of mostly 10-s Doppler data, with a data noise of 0.25 mm/s for the observations from the Deep Space Network, and 2.5 mm/s for the data from a naval tracking station at Pomonkey, Maryland. Observations provided Clementine, provide the strongest satellite constraint on the Moon's low-degree field. In contrast the historical data, collected by spacecraft that had lower periapsis altitudes, provide distributed regions of high-resolution coverage within ±29° of the nearside lunar equator. To obtain the solution for a high-degree field in the absence of a uniform distribution of observations, we applied an a priori power law constraint of the form 15×10−5/l2 which had the effect of limiting the gravitational power and noise at short wavelengths. Coefficients through degree and order 18 are not significantly affected by the constraint, and so the model permits geophysical analysis of effects of the major basins at degrees 10–12. The GLGM-2 model confirms major features of the lunar gravity field shown in previous gravitational field models but also reveals significantly more detail, particularly at intermediate wavelengths (103 km). Free-air gravity anomaly maps derived from the new model show the nearside and farside highlands to be gravitationally smooth, reflecting a state of isostatic compensation. Mascon basins (including Imbrium, Serenitatis, Crisium, Smythii, and Humorum) are denoted by gravity highs first recognized from Lunar Orbiter tracking. All of the major mascons are bounded by annuli of negative anomalies representing significant subsurface mass deficiencies. Mare Orientale appears as a minor mascon surrounded by a horseshoe-shaped gravity low centered on the Inner and Outer Rook rings that is evidence of significant subsurface structural heterogeneity. Although direct tracking is not available over a significant part of the lunar farside, GLGM-2 resolves negative anomalies that correlate with many farside basins, including South Pole-Aitken, Hertzsprung, Korolev, Moscoviense, Tsiolkovsky, and Freundlich-Sharonov.
Genetic Relationships Among Medicago sativa L. Clones Commonly Grown in Central Anatolia

Amplified fragment length polymorphism (AFLP) markers were used to investigate genotypic variability among 34 alfalfa clones (M. sativa) using 15 primer combinations with restriction enzymes EcoRI, PstI and MseI. 34 unique AFLP fragments were observed. The 15 primer pairs produced a total of 1002 fragments of which 460 were polymorphic. The number of polymorphic fragments detected per primer combination ranged 7 to 67. Furthermore, 22 clone-specific markers were also detected in the 13 clones. Data analysis was performed with NTSYSpc version 2.1 software. Genetic distance values ranged 5.9374 to 1.1453. Fifteen clones which showed the highest genetic variation were selected for producing synthetic variety of Alfalfa.
Deforestation and Property Rights in Latin America

This paper analyzes the property rights/deforestation linkage in Latin America. The analysis recognizes two separate areas where tenure issues have an effect on land clearing pressures. The first deals with the security of individual property rights on established agricultural lands and their effects on agricultural production and employment. The second involves tenurial arrangements on forested areas and their impact on the sustainable management of resources. The analysis concludes that strengthening property rights should be an important part of a strategy to reduce deforestation rates in the region. However, it also suggests that tenurial reforms are not a solution by themselves to prevent excessive land clearing.
Entrepreneurship in the cinema: feature films as case material in entrepreneurship education

A composite beam apparatus includes an electron beam column for irradiating an electron beam onto a sample, a focused ion beam column for irradiating a focused ion beam onto the sample to form a cross section, and a neutral particle beam column having an acceleration voltage set lower than that of the focused ion beam column for irradiating a neutral particle beam onto the sample to perform finish processing of the cross section. The electron beam column, the focused ion beam column, and the neutral particle beam column are arranged such that the beams of the columns cross each other at an irradiation point. A controller controls the electron beam column to irradiate and scan the electron beam on the sample during cross section processing by the focused ion beam column and during finish processing by the neutral particle beam column. The composite beam apparatus is capable of suppressing the influence of charge build-up, or electric field or magnetic field leakage from an electron beam column, when subjecting a sample to cross-section processing with a focused ion beam and then performing finishing processing with another beam.
Voters’ responsiveness to public employment policies

This paper examines the electoral rewards for the distribution of public employment. We focus on the Spanish Plan for Rural Employment, a public jobs program introduced by the central government in two lagging regions. We evaluate voters’ responsiveness to this policy using municipal-level electoral data and employ an estimator that combines difference-in-differences with propensity score matching. The main findings are that the program lead to an increase in the vote share for the ruling party in the treated municipalities. This effect is very persistent over the years, and it is unlikely to be explained by turnout buying.
Security in Data Mining- A Comprehensive Survey

Data mining techniques, while allowing the individuals to extract hidden knowledge on one hand, introduce a number of privacy threats on the other hand. In this paper, we study some of these issues along with a detailed discussion on the applications of various data mining techniques for providing security. An efficient classification technique when used properly, would allow an user to differentiate between a phishing website and a normal website, to classify the users as normal users and criminals based on their activities on Social networks (Crime Profiling) and to prevent users from executing malicious codes by labelling them as malicious. The most important applications of Data mining is the detection of intrusions, where different Data mining techniques can be applied to effectively detect an intrusion and report in real time so that necessary actions are taken to thwart the attempts of the intruder.
The Inflationary Effect of Price Increases in Oil Products in Turkey

In this study, the inflationary effect of price increases in oil products was investigated for Turkey’s economy using monthly data for the period 1996 - 2009. According to the empirical evidence obtained from the study made with bounds testing approach developed by Pesaran et al. (2001), co-integration relationship between the variables have been determined. Accordingly, in the long-term analysis, inflationary effect of price increases of oil products was found positive and statistically significant in line with theoretical expectations. In its short-term analysis, coefficient of the error correction term was found statistically significant and negative. Therefore, deviations occured between the variables converge to long-term equilibrium level.
Modeling and Solution Procedure for a Preemptive Multi-Objective Multi-Mode Project Scheduling Model in Resource Investment Problems

In this paper, a preemptive multi-objective multi-mode project scheduling model for resource investment problem is proposed. The first objective function is to minimize the completion time of project (makespan);the second objective function is to minimize the cost of using renewable resources. Non-renewable resources are also considered as parameters in this model. The preemption of activities is allowed at any integer time units, and for each activity, the best execution mode is selected according to the duration and resource. Since this bi-objective problem is the extension of the resource-constrained project scheduling problem (RCPSP), it is NP-hard problem, and therefore, heuristic and metaheuristic methods are required to solve it. In this study, Non-dominated Sorting Genetic AlgorithmII (NSGA-II) and Non-dominated Ranking Genetic Algorithm (NRGA) are used based on results of Pareto solution set.We also present a heuristic method for two approaches of serial schedule generation scheme (S-SGS) and parallel schedule generation scheme (P-SGS) in the developed algorithm in order to optimize the scheduling of the activities.The input parameters of the algorithm are tuned with Response Surface Methodology (RSM). Finally, the algorithms are implemented on some numerical test problems, and their effectiveness is evaluated.
Reproducibility of AGCM20 Precipitation Output and Its Dependency on Topography

GCMから出力された降水量の再現性の検証を行うために、アメダスの観測データーとの比較し評価を行った。 アメダスの地点観測をGCM出力の形式である20kmグリットの空間平均に変換した後、GCMの再現期間25年間(1979? 2003)の出力データと比較した。 検証の結果，GCMからの降水量の計算結果は地域毎の降水量の分布はおおむね表現出来たが，降水量の空間分布は緩慢な変化を見せている。 これはGCMでモデリングに用いた20kmメッシュの地形が実際の地形を緩慢に表現するため、モデルの地形では降水の発生が低減されている可能性があると考える。
A New Classification of Backbone Formation Algorithms for Wireless Sensor Networks

In Wireless Sensor Networks, the most important of challenges is the bandwidth and energy limitations, network topology changes, and the lack of the fixed infrastructures. There is no fixed backbone infrastructure in these networks. Flooding is a kind of broadcasting in sensor networks. But it raises energy consumption because packet retransmission is needed when interference occurs. Also, it will has broadcast storm problem. To solve these circumstances, virtual backbone can be used. A backbone is a subset of active nodes while the rest of the sensors are sleeping. It is able to perform especial tasks and serve nodes which are not in the backbone. For instance, backbone nodes in networks can perform efficient routing and broadcasting. A backbone reduces the communication overhead, increases the bandwidth efficiency, decreases the overall energy consumption, and, at last, increases network effective lifetime in a Wireless Sensor Network. This paper classifies different backbone formation algorithms. We compare performance of these with each other. Keywordsbackbone formation; clustering; connected dominating set; maximal independent set; wireless sensor network.
Determinants of the Spanish housing market over three decades and three booms: Long run supply and demand elasticities

This paper offers a quantitative analysis of housing supply and demand in Spain. To this end, it formulates a model in line with the traditional models of the literature. Using Spanish data for the period 1975 to 2009, reduced form and structural models are estimated. The results obtained show that faced with situations of disequilibrium prices adjust more rapidly than stock. Similarly, they demonstrate that demand shows low sensitivity to variations in prices and real interest rates. By contrast, it is highly sensitive to demographic changes and the evolution of the labor market. The evidence confirms that permanent income has greater weight than prices as a determinant of demand. Moreover, supply is very sensitive to variations in prices and interest rates.
“Concept Synthesis” test for intelligence research: qualitative analysis and conceptual commentaries

“Concept Synthesis” test (by M. A. Kholodnaya) was suggested within an ontological approach to intelligence studies as an alternative tool for measuring intellectual abilities. The aim of this paper is to summarize our experience of using this test as well as to provide some conceptual commentaries on the original criteria developed for rating the answers. We compiled a database of 924 answers for “Concept Synthesis” test, collected from 2013 to 2015 in three different studies (all together, 104 participants) and rated in accordance with the original criteria. All the answers underwent a thorough qualitative analysis and were re-rated independently by three experts. The updated criteria for assessing the answers were suggested as a result of this work. We also provide conceptual commentaries on more than 40 particular answers and discuss the most common technical issues emerging while using “Concept Synthesis” test. Refs 19. Table 1.
Characterization of Baker Fjord region through its heavy metal content on sediments (Central Chilean Patagonia)

The spatial distribution of heavy metals content (Ba, Cd, Cu, Pb, Sr and Zn) in sediments of the Baker Fjord and surrounding channels in the central region of the Chilean fjords (47°45'S, 48°15'S) is analyzed. The aim of the study was characterized the patterns of abundance and distribution of these metals in surface sediments. The area corresponds to a poorly studied zone with low human activity. Distribution patterns would be influenced by rainfall conditions (local erosion), fluvial (continental sediments carried by rivers), glacier (glacier flour) and estuarine circulation. Cluster analysis allows differentiation among the sampled sites and group with similar characteristics. Finally, the concentrations found were contrasted with average values of metamorphic rocks and show with some certainty that the values found for calendar for this area and the greatest concentrations are the result of natural enrichment.
Large-Scale, Low-Frequency Variability in Wind-Driven Ocean Gyres

Abstract The authors investigate the spontaneous occurrence of large-scale, low-frequency variability of steadily forced, two-gyre, wind-driven circulations. The model dynamics is quasigeostrophic, the density stratification is represented in 1.5- and 2-layer approximations, and the wind stress pattern is either asymmetric or symmetric about the midbasin. The authors show that more generic variability arises when the forcing is strongly asymmetric, the Reynolds number is relatively large, and the baroclinic instability mechanism is active. The variability is explored for a wide range of values for the viscosity coefficient, that is, the Reynolds number. The regimes include steady circulation, periodic and quasiperiodic fluctuations near the beginning of the bifurcation tree, and chaotic circulations characterized by a broadband spectrum. Both the primary and secondary bifurcation modes and the spatiotemporal patterns within certain frequency bands in the chaotic regime are analyzed with an EOF decompositi.
Quintessence of Traditional and Agile Requirement Engineering

Requirement gathering for software development project is the most crucial stage and thus requirement engineering (RE) occupies the chief position in the software development. Countless techniques concerning the RE processes exist to make sure the requirements are coherent, compact and complete in all respects. In this way different aspects of RE are dissected and detailed upon. A comparison of RE in Agile and RE in Waterfall is expatiated and on the basis of the literature survey the overall Agile RE process is accumulated. Agile being a technique produces high quality software in relatively less time as compared to the conventional waterfall methodology. The paramount objective of this study is to take lessons from RE that Agile method may consider, if quality being the cardinal concern. The study is patterned on the survey of the previous research reported in the coexisting literature and the practices which are being pursued in the area.
Innovating Management Control by Dynamic Analysis of Pareto in a Hotel Business

This paper deals with the Pareto Analysis of problems observed and criticized by clients in a hotel establishment in the municipality of Porto Velho, capital of the State of Rondocirc;nia. The general objective of the research is to study the use of Pareto Analysis in these problems that annoy the clients; (1), to group the data in descending order of frequency and to calculate the cumulative values (2), and indicating innovation for managerial control through a tool for Pareto Analysis in a dynamical way (3). The methodology of the qualitative-quantitative approach, of an exploratory nature, is adopted; the bibliographic survey and the field research are applied in support of the case study. Through the database system that the company under study possesses, the data necessary to be used in the Pareto Analysis are obtained, completing the first specific objective; the grouping of these data in descending order of absolute frequency, the calculation of the cumulative values, the preparation of the Pareto Diagram and the analysis carried out successfully completed the second specific objective; and finally the study is finished with the creation of a tool that allows a more dynamic analysis of the scenario in which the company is inserted, as a proposal of innovation for the institution to perform its practical and dynamic analyzes, useful in decision making. This study is a contribution of the academy to managers who work with complex decisions in hotel or related establishments interested in customer satisfaction.