Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of motivating factors on sales employee retention in private life insurance companies

This paper aims at developing insight on how employee retention is relevant in the private life insurance Companies in India. This study identifies motivating factors defined by Fredrick Herzberg in his Two Factor theory of motivation on sales employee retention in the private life insurance sector in India. These studies also elaborates the influence of motivating factors on the sales employee job satisfaction and further the extent of the influence on the employee retention. The main objective is to understand the nature of the motivating factor, their relation with the job satisfaction and its influence on the employee retention. This study also helps to find out the factors which are highly responsible for the retention in private life insurance companies in India.
A Modified Combination Rule for D Numbers Theory

numbers theory is an appropriate method to deal with the information of uncertainty and incompleteness when making a reasonable decision. Previous numbers theory provides a rule to combine multiple numbers. However, the commutative law is not satisfied in the rule of combining multiple numbers. In this paper, a modified method for multiple numbers combination is proposed. The proposed method defines a new function for multiple numbers combination which is mainly determined by the original value of numbers. Then the proposed combination rule is applied to environmental impact assessment (EIA); our results show that the proposed method is efficient for multiple numbers combination and it is useful when dealing with uncertainty and incompleteness.
Comparison of MSACD models

We propose a new framework for modelling time dependence in duration processes on financial markets. The well known autoregressive conditional duration (ACD) approach introduced by Engle and Russell (1998) will be extended in a way that allows the conditional expectation of the duration process to depend on an unobservable stochastic process which is modelled via a Markov chain. The Markov switching ACD model (MSACD) is a very flexible tool for description and forecasting of financial duration processes. In addition, the introduction of an unobservable, discrete valued regime variable can be justified in the light of recent market microstructure theories. In an empirical application we show that the MSACD approach is able to capture several specific characteristics of inter trade durations while alternative ACD models fail.
APPLICATION AND PERFORMANCE ANALYSIS OF A NEW BUNDLE ADJUSTMENT MODEL

Abstract. As the basis for photogrammetry, Bundle Adjustment (BA) can restore the pose of cameras accurately, reconstruct the 3D models of environment, and serve as the criterion of digital production. For the classical nonlinear optimization of BA model based on the Euclidean coordinate, it suffers the problem of being seriously dependent on the initial values, making it unable to converge fast or converge to a global minimum. This paper first introduces a new BA model based on parallax angle feature parametrization, and then analyses the applications and performance of the model used in photogrammetry field. To discuss the impact and the performance of the model (especially in aerial photogrammetry), experiments using two aerial datasets under different initial values were conducted. The experiment results are better than some well-known software packages of BA, and the simulation results illustrate the stability of the new model than the normal BA under the Euclidean coordinate. In all, the new BA model shows promising applications in faster and more efficient aerial photogrammetry with good convergence and fast convergence speed.
Influence of EthanolGasoline Blends on PerformanceParameters and Combustion Characteristics Of CopperCoated Two Stroke Spark Ignition Engine With Gasohol

Automobiles have become critically indispensable to our modern life style. On the other hand, future of automobiles, built on the internal combustion engines, has been badly hit by the twin problems due to diminishing fuel supplies and environmental degradation. Thus, it is very important to identify some clean-burning, renewable, alternative fuels to ensure the safe survival of internal combustion engines. In the present paper investigations were carried out to evaluate the performance of two-stroke, single cylinder spark ignition (SI) engine with alcohol blended (80% gasoline and 20% ethanol by volume) having copper coated combustion chamber [copper-(thickness, 300 μ) coated on piston crown, and inner side of cylinder head]. Performance parameters [brake thermal efficiency, exhaust gas temperature and volumetric efficiency] were determined at various values of brake mean effective pressure of the engine, while combustion characteristics [peak pressure, maximum rate of pressure rise, time of occurrence of peak pressure and maximum heat release] were evaluated at full load operation of the engine with alcohol blended gasoline. Comparative studies were made on performance parameters and combustion characteristics with conventional SI engine with pure gasoline operation. Brake thermal efficiency increased with alcohol blended gasoline with both versions of the combustion chamber. Copper-coated combustion chamber (CCCC) showed improved performance and combustion parameters when compared with conventional engine (CE) with both test fuels.
Successful growth of micropropagated ornamental tree forms in northern Finland

Micropropagated trees, Alnus incana f. laciniata, Betula pendula f. crispa, Betula pubescens f. rubra, Populus tremula 'Erecta' and Prunus maackii, were studied in a selection experiment at four different study sites in northern Finland. The aim of the field experiment was to identify hardy and valuable special tree forms for northern landscaping based on tree phenology and success. All the trees studied revealed some good charac- teristics and have potential in northern horticulture. B. pubescens f. rubra (red-leaved downy birch) is especially noted for its excellent winter hardiness and showy appearance at every study site. It is a valuable addition to the tree selection for use in northern landscaping.
Stakeholder Groups of Public and Private Universities in the Czech Republic – Identification, Categorization and Prioritization

Abstract With regard to changes in the environment of tertiary education and tertiary educational systems, universities are now unlikely to succeed as ‘separated closed’ institutions that are unresponsive to their environment and stakeholders. Stakeholder analysis is considered as an important part of university management and marketing and universities have to take care of key stakeholder groups and build long term relationships with them. This paper focuses on the stakeholder analysis and adopts the stake-holder theory and analysis for the needs of the Czech market of tertiary education. This paper analyses results of the author’s online questionnaire that provided the input for data analysis deploying basic descriptive analysis and first steps of stakeholder analysis – identification, categorization and prioritization. Results of author’s research show that there are only slight differences between public and private universities and their perspective concerning generic stakeholder groups of universities. However the research revealed two controversial stakeholder groups – donors and competitors. In comparison with other stakeholder groups perception of these two stakeholder groups by public and private universities is very different. Stakeholder groups of public and private universities were categorized into four basic groups - primary internal stakeholder groups, primary external stakeholder groups, secondary internal stakeholder groups, and secondary external stakeholder groups. Primary internal and external stakeholder groups which are crucial for survival of universities are the most important stakeholder groups for universities. The author identified ten most important stakeholder groups for public and private universities separately, based on assigned priorities that will be used for further research.
Application of Holography in Subsea Pipeline Corrosion Control

Oil leak caused by pipeline corrosion has always be a seriously problem in oil industry. Not only the economic loss happens in oil company, but also sever damages to the environment around the pipe line. Due to the problems caused by oil leak, lots of technologies have been developed to monitoring and controlling pipeline corrosion.In the age of technology, holography is a very advanced and popular optical technology in the world, and has been used in the industry engineering area. This paper is going to clearly and simply clarify the working concept of holography, and some applications of this optical method in oil and gas industry.
DSM‐IV personality disorders and the Five‐Factor Model of personality: a multi‐method examination of domain‐ and facet‐level predictions

The personality disorder classification system (Axis II) in the various versions of the Diagnostic and Statistical Manuals of Mental Disorders (DSM) has been the target of repeated criticism, with conceptual analysis and empirical evidence documenting its flaws. In response, many have proposed alternative approaches for the assessment of personality psychopathology, including the application of the Five‐Factor Model of personality (FFM). Many remain sceptical, however, as to whether domain and facet traits from a model of general personality functioning can be successfully applied to clinical patients with personality disorders (PDs). In this study, with a sample of psychiatric patients (n = 115), personality disorder symptoms corresponding to each of the 10 PDs were successfully predicted by the facet and domain traits of the FFM, as measured by a semi‐structured interview, the Structured Interview for the Five Factor Model (SIFFM; Trull & Widiger, 1997) and a self‐report questionnaire, the Revised NEO Personality Inventory (NEO PI‐R; Costa and McCrae, 1992). These results provide support for the perspective that personality psychopathology can be captured by general personality dimensions. The FFM has the potential to provide a valid and scientifically sound framework from which to assess personality psychopathology, in a way that covers most of the domains conceptualized in DSM while transcending the limitations of the current categorical approach to these disorders. Copyright © 2005 John Wiley & Sons, Ltd.
Designing a Genetic Algorithm to Optimize Fulfilled Orders in Order Picking Planning Problem with Probabilistic Demand

Distribution centers (DCs) play an important key role in supply chain. Delivering the right items to the right customers at the right time, at the right cost is a critical mission of the DCs. Today, customer satisfaction is an important factor for supplier companies in order to gain more profits. Optimizing the number of fulfilled orders (An order that the required quantity of all items in that order are available from the inventory and can be send to the customer) in a time period may lead to delay some major orders; and consequently lead to dissatisfaction of these customers, ultimately loss them and lead to lower profits. In addition, some inventory may remain in the warehouse in a time-period and over the time become corrupt. It also leads to reduce the benefit of supplier companies in the supply chain. Therefore, in this paper, we will present a dynamic mathematical model to flow process /storage process of goods for order picking planning problem (OPP) in DCs. And we will optimize the number of fulfilled orders in this problem with regard to a) the coefficient of each customer, b) to meet each customer's needs in the least time c) probabilistic demand of customers, and d) taking inventory to send to customers at the earliest opportunity to prevent their decay. After presenting the mathematical model, we use Lingo software to solve small size problems. Complexity of the mathematical model will intensify by increasing the numbers of customers and products in distribution center, Therefore Lingo software will not able to solve these problems in a reasonable time. Therefore, we will develop and use a genetic algorithm (GA) for solving these problems.
Linking Organizational Strategy to Information Technology Strategy and Value Creation: Impact on Organizational Performance

Previous empirical studies confirm that organizational strategy has a significant and substantive impact on organizational performance. The purpose of this research is to examine the inter-relationships and interactions among organizational strategy, information technology strategy, value creation and organizational performance in the Regional Civil Service Agency (BKD) province of south Sulawesi. The concept of organizational performance was extended to include ‘stakeholder orientation’ items. Model development and hypothesis testing was conducted using Smart-PLS 2.0 on a sample of 196 respondents from 24 Civil Service Agency (BKD). Results show a confirmation of previous studies as it relates to hypothesis testing that the organizational strategy has significant and positive effect on organizational performance directly or through the mediating effect of information technology strategy and value creation. Limitations of the study, that the study was only conducted on city and County government organization then respondents used only the leaders so that limits the generalization of the findings of the research.
TITLE : Psychophysical Properties of Perceived Vocal Attractiveness Based on Pitch Manipulations

Experiments have shown that manipulations of vocal fundamental frequency, a physical c01Telate of voice pitch, alter perceptions of vocal attractiveness. Individual experiments, however, have found different effects of pitch manipulations on attractiveness. One possible explanation for the disparate findings may be differences in the strength of pitch manipulations used between studies. The focus of this thesis is to determine psychophysical properties of vocal attractiveness based on pitch manipulations. Within the thesis, two experiments are described that were designed to find just-noticeable differences in vocal attractiveness based on pitch manipulations. The experiments were also designed to determine if there are limits for voice pitch preferences. Relevant background concepts to the thesis are described in Chapters 2-5, and a manuscript is presented in Chapter 6 that describes the methods and results of the experiment, and gives a discussion of the findings. In Chapter 2, the basic anatomy underlying vocal production is explained, including the anatomical structures involved in the source-filter model of vocal production. In Chapter 3, relevant acoustic properties of the voice are described, including fundamental frequency, harmonics, and formant frequencies. In Chapter 4, the basic anatomy involved in audition is explained, including how sound is propagated through the ear.
Trade Facilitation in EAC Customs Union: Its Achievement and Implementation in Tanzania

This study addresses trade facilitation in the East African Community Customs Union (EAC CU) by tracking the achievements and implementation using Tanzania as a case. The study uses descriptive research design and data for the study were mainly secondary data; unstructured interviews with key stakeholders complemented data for this study. The study found that as a result of implementation of trade facilitation initiatives, performance in trade, FDI inflows and trade taxes collection in all EAC countries have improved significantly. Tanzania performs better than other EAC countries in FDI inflows and contribution of export to the Gross Domestic Product (GDP). The study found a significant positive relationship between countries’ trade facilitation and export performance. Facilitation was found to have no significant relationship on FDI flows. The major setbacks of trade facilitation are non-tariff barriers, transport infrastructure, inadequate human resources capacity, and low level of automation. Addressing these challenges will enhance EAC countries benefits from trade. Keywords: trade facilitation performance, trade facilitation and logistics indicators, EAC Customs Union
Summertime total OH reactivity measurements from boreal forest during HUMPPA-COPEC 2010

Abstract. Ambient total OH reactivity was measured at the Finnish boreal forest station SMEAR II in Hyytiala (Latitude 61°51' N; Longitude 24°17' E) in July and August 2010 using the Comparative Reactivity Method (CRM). The CRM – total OH reactivity method – is a direct, in-situ determination of the total loss rate of hydroxyl radicals (OH) caused by all reactive species in air. During the intensive field campaign HUMPPA-COPEC 2010 (Hyytiala United Measurements of Photochemistry and Particles in Air – Comprehensive Organic Precursor Emission and Concentration study) the total OH reactivity was monitored both inside (18 m) and directly above the forest canopy (24 m) for the first time. The comparison between these two total OH reactivity measurements, absolute values and the temporal variation have been analyzed here. Stable boundary layer conditions during night and turbulent mixing in the daytime induced low and high short-term variability, respectively. The impact on total OH reactivity from biogenic emissions and associated photochemical products was measured under "normal" and "stressed" (i.e. prolonged high temperature) conditions. The advection of biomass burning emissions to the site caused a marked change in the total OH reactivity vertical profile. By comparing the OH reactivity contribution from individually measured compounds and the directly measured total OH reactivity, the size of any unaccounted for or "missing" sink can be deduced for various atmospheric influences. For "normal" boreal conditions a missing OH reactivity of 58%, whereas for "stressed" boreal conditions a missing OH reactivity of 89% was determined. Various sources of not quantified OH reactive species are proposed as possible explanation for the high missing OH reactivity.
Speech Recognition: A Review of Literature

— Speech recognition is a process of identifying what a person speaks into a mike or any other similar hardware and reflects its meaning in any required form such as text, image or any event. This thesis provides a description of implementation of Speaker Independent Isolated Punjabi and English Digits Recognition system. The system is developed by using two different techniques, first is pattern based technique (DTW (Dynamic Time Wrapping)) and second is statistical based technique (HMM (Hidden Markov Model)). The system uses the Mel Frequency Cepstral Coefficients (MFCCs) technique for the purpose of features extraction. The developed system works for Punjabi as well as English digits recognition.
Screws Radiologic Analysis of C2 to Predict Safe Placement of Pedicle

Background: Preoperative assessment of C2 pedicle morphology is critical to safe pedicle screw placement. To avoid iatrogenic injury, complex digital templating software has been introduced; however, this technology may not be available in many centers. We report a technique for preoperative assessment of C2 pedicle screw placement safety based upon 2-dimensional sagittal computed tomography (CT) scan images and verify its utility in clinical practice. Methods: A total of 46 consecutive patients underwent cervical spine CT scans between 2005 and 2011. The C2 pedicle morphology was assessed on sagittal CT imaging by 5 independent reviewers to determine the feasibility and risk associated with pedicle screw placement. Thirty consecutive patients underwent C2 pedicle screw placement and were followed clinically for a minimum of 2 years. The ability to place a screw was noted, and accuracy of screw placement was assessed postoperatively by CT scan. Results: The CT scan analysis demonstrated that 11% (5/46) of patients had sufficient pedicle size bilaterally to allow safe placement of long pedicle screws with a low risk of vertebral artery injury, whereas 15% (7/46) were considered a high risk bilaterally. Screw placement was deemed low risk in 28%, moderate risk in 38%, and high risk in 34%. Excellent intraobserver reliability and good interobserver reliability was observed. Clinically, 18 of 20 (90%) low-risk and 21 of 24 (88%) moderate-risk pedicle screws were placed safely versus 5 of 16 (31%) high-risk pedicle screws (P , .001). Conclusions: Using the described technique for evaluating the C2 pedicle via sagittal CT scan images allows for safe and reliable pedicle screw placement without relying upon complex digital templating software, which may have limited availability. Level of Evidence: II Clinical Relevance: This study aids in the surgical decision-making behind the placement of C2 pedicle screws using CT scans without reliance upon complex digital templating software.
Adjacent Order Separation for Variable Speed Bearing with Peak Detection and Fixed-point ICA

To solve the problem of adjacent order overlap for variable speed bearings, a novel method with the fixed-point independent component analysis (ICA) and peak detection is proposed. Firstly, the mixed vibration signal is whitened by through of the singular value decomposition. Then it introduces fixed-point ICA technique to separate the mixed vibration signal into different independent components. To improve the performance of separation, the adjacent orders are extracted by peak detection according to the energy distribution characteristics of separated signal. The effectiveness of proposed method is verified. Experimental results show that proposed method provides better performance on adjacent order separation for roller bearings.
Developing Inquiry-Based Practice Equipment of Heat Conductivity to Foster The Students’ Critical Thinking Ability

The purpose of this research is to develop inquiry-based practice equipment of heat conductivity to foster the students’ critical thinking ability. The research method employed was research and development (R & D). The development model used was ADDIE (Analysis-Design-Development-Implementation-Evaluation) model. Validation of product development was done by science education experts. Field-testing was conducted to the seventh-grade students of State Junior High school 3 (SMP Negeri 3) Blambangan Umpu Way Kanan. The data collection was done through observation, questionnaires, and tests of the effectiveness of fostering students' critical thinking ability. Data analysis was done through paired sample T-Test and independent sample T-Test. The results showed that the inquiry-based practice equipment of heat conductivity was effective in fostering the students’ critical thinking ability the value of N-gain 0.70 (high category). The equipment and its guides were considered interesting, practical, and useful by the students. So, it is concluded that the inquiry-based practice equipment of heat conductivity is able to foster the students' critical thinking ability.
Syddansk Universitet Anxiety and Depressive Symptoms as Predictors of All-Cause Mortality among People with Insulin-Naïve Type 2 Diabetes 17-Year Follow-Up of the Second Nord-Trøndelag Health Survey ( HUNT 2 ) ,

Citation for pulished version (APA): Iversen, M. M. , Nefs, G. , Tell, G. S. , Espehaug, B. , Midthjell, K. , Graue, M. , & Pouwer, F. (2016). Anxiety and Depressive Symptoms as Predictors of All-Cause Mortality among People with Insulin-Naïve Type 2 Diabetes: 17-Year Follow-Up of the Second Nord-Trøndelag Health Survey (HUNT2), Norway. PLOS ONE, 11(8), e0160861. https://doi.org/10.1371/journal.pone. 0160861