Miracle-dz/UniFAR-FTUs huggingface dataset:
LIFE SATISFACTION AND HAPPINESS WITH REGARD TO HUMAN CAPITAL AND RELIGIOSITY IN TURKEY

﻿ Bu calisma, Turkiye uzerine Dunya Degerleri Anketi (WVS) verilerini kullanarak, insan sermayesinin kalitesi ve dindarlik acisindan yasam memnuniyeti ve mutluluguna iliskin belirleyici faktorleri ampirik olarak arastirarak literature katki saglamaktadir. Temel bulgular su sekilde ozetlenebilir: (i) yuksek beceri (vasifli) ve daha yuksek gelir sahibi insanlar mutsuz olmaya ve yasamlarindan memnuniyetsiz olma egilimindedirler; (ii) yuksek ogrenim duzeyi olan, istihdam edilen ve kaderlerinin kendileri tarafindan sekillendirildigine inanan zihin gucuyle calisan (bilissel) isciler hayatlarindan daha memnundurlar, cok sayida cocuk sahibi ve yuksek beceri duzeyine sahip emek (kol) gucuyle calisan isciler ise hayatlarindan daha az memnundurlar; (iii) bireysel ve toplumsal dindarlik faktoru emek gucuyle calisan iscilerin mutluluk ve yasam doyumu uzerinde guclu bir olumlu etkiye sahiptir. Bulgularimiz bireysel mutluluk ve yasam memnuniyetini tahmin etmede cinsiyet, yas ve medeni durum gibi temel bir demografik degisken grubunun belirleyiciligini de dogrulamaktadir.
COMPLEX CONTROL ENVIRONMENT

This paper describes an experiment that was undertaken to compare three levels of automation in rail signalling; a high level in which an automated agent set routes for trains using timetable information, a medium level in which trains were routed along pre-defined paths, and a low level where the operator (signaller) was responsible for the movement of all trains. These levels are described in terms of a rail automation model based on previous automation theory (Parasuraman, Sheridan, & Wickens, 2000). Performance, subjective workload, and signaller activity were measured for each level of automation running under both normal operating conditions and abnormal, or disrupted, conditions. The results indicate that perceived workload, during both normal and disrupted phases of the experiment, decreased as the level of automation increased and performance was most consistent (i.e. showed the least variation between participants) with the highest level of automation. The results give a strong case in favour of automation, particularly in terms of demonstrating the potential for automation to reduce workload, but also suggest much benefit can achieved from a mid-level of automation potentially at a lower cost and complexity.
MAN-BITES-DOG BUSINESS CYCLES ONLINE APPENDIX

The next section derives the equilibrium expressions for the beauty contest model from Section 3 of the main paper. This is followed by a detailed description of how to solve the dynamic business cycle model of Section 4. The last section describes the Multiple-block Metropolis-Hastings algorithm used to estimate the business cycle model and contains some convergence diagnostics for the Markov chains. The Matlab codes used to estimate the model and plot the figures in the paper are available at the author’s web site www.kris-nimark.net.
Model Prediction for Lead-acid Batteries with Super-capacitor Anodes

The existing prediction models used in Battery Management Systems (BMS) for lead-acid batteries have difficulty in applying to lead-acid batteries with changed structure or materials. Four different lifetime prediction models of lead-acid batteries to be mainly used as energy storage for PV systems, EV, and hybrid EV are examined. Equivalent full cycles to failure, “Rain flow” cycles were counting, the Schiffer weighted Ah-throughput model and recurrent Neural Network-based Model are discussed for the accessibility and availability of the lead-acid batteries with the supercapacitor anode (hybrid batteries). By examining the mechanism, “Rain flow” cycles counting, the Schiffer weighted Ah-throughput model and recurrent Neural Network-based Model were three models could be used in hybrid batteries. By comparing the accuracy of these models in photovoltaic systems, the Schiffer weighted Ah-throughput model and recurrent Neural Network-based Model were selected to be the promising solutions. A modification of the Schiffer weighted Ah-throughput model is discussed based on the chemical mechanism. All possible effects are taking into account in the modified model based on the detailed analysis. Further estimations can be simply conducted through the factory data sheet of hybrid batteries.
Anti-microbial and anti-inflammatory flavonoid constituents from the leaves of Lawsonia inermis

A chemical investigation on the leaves of Lawsonia inermis led to the isolation and identification of five known and rare flavonoids, apigenin (1), 5, 7, 4 - trihydroxy-6, 3, 5-trimethoxyflavone (2), pectolinarigenin (3), apigenin-7-O-β-D-glucoside (4), and pectolinarin (5). Their structures were established on the basis of chromatography and spectroscopic evidence and comparisons with literature data. Antimicrobial and carrageenan induced paw edema in male albino rats were determined. Compounds 4 and 5 showed the most powerful antimicrobial effect against Escherichia coli and Aspergillus flavus at the dose of 200 mg/kg. Compound 2 showed pronounced anti-inflammatory effects (3.17±0.15 after 3 h of injection), slightly higher than that of other four compounds.
Links Between Household Debt and Macroeconomic Stability: Dynamic Conditional Correlations GARCH Model

Many of the policy papers leading up to, and following, the 2008 financial crisis addressed elevated household debt as a central issue for macroeconomic stability. While most papers address recent trends in debt at the macro level or micro issues within the household balance sheet, few papers actually address the movement of debt with other key macroeconomic variables. This paper extends the literature on household debt by characterizing the volatility of debt growth with three main macro variables, namely: house prices, the unemployment rate, and durable good sales. The key finding in this paper is that correlations with household debt and these variables are cyclical in nature, but the dynamic correlations differ when looking at residential mortgage debt versus consumer credit debt. This suggests that recent financial innovations and changes in attitudes towards debt affect the correlations with the separate debt components and key macroeconomic variables differently. The primary concern comes from the increased amount of debt households' hold, and looming changes in the low interest rate environment.
Incorporating the subgrid‐scale variability of clouds in the autoconversion parameterization using a PDF‐scheme

An investigation of the impact of the subgrid‐scale variability of cloud liquid water on the autoconversion process as parameterized in a general circulation model is presented in this paper. For this purpose, a prognostic statistical probability density distribution (PDF) of the subgrid scale variability of cloud water is incorporated in a continuous autoconversion parameterization. Thus, the revised autoconversion rate is calculated by an integral of the autoconversion equation over the PDF of total water mixing ratio from the saturation vapor mixing ratio to the maximum of total water mixing ratio. An evaluation of the new autoconversion parameterization is carried out by means of one year simulations with the ECHAM5 climate model. The results indicate that the new autoconversion scheme causes an increase of the frequency of occurrence of high autoconversion rates and a decrease of low ones compared to the original scheme. This expected result is due to the emphasis on areas of high cloud liquid water in the new approach, and the non‐linearity of the autoconversion with respect to liquid water mixing ratio. A similar trend as in the autoconversion is observed in the accretion process resulting from the coupling of both processes. As a consequence of the altered autoconversion, large‐scale surface precipitation also shows a shift of occurrence from lower to higher rates. The vertically integrated cloud liquid water estimated by the model shows slight improvements compared to satellite data. Most importantly, the artificial tuning factor for autoconversion in the continuous parameterization could be reduced by almost an order of magnitude using the revised parameterization.
Local mesh refinement for the discretization of Neumann boundary control problems on polyhedra

This paper deals with optimal control problems constrained by linear elliptic partial differential equations. The case where the right‐hand side of the Neumann boundary is controlled, is studied. The variational discretization concept for these problems is applied, and discretization error estimates are derived. On polyhedral domains, one has to deal with edge and corner singularities, which reduce the convergence rate of the discrete solutions, that is, one cannot expect convergence order two for linear finite elements on quasi‐uniform meshes in general. As a remedy, a local mesh refinement strategy is presented, and a priori bounds for the refinement parameters are derived such that convergence with optimal rate is guaranteed. As a by‐product, finite element error estimates in the H1(Ω)‐norm, L2(Ω)‐norm and L2(Γ)‐norm for the boundary value problem are obtained, where the latter one turned out to be the main challenge. Copyright © 2015 John Wiley & Sons, Ltd.
Face recognition in an unconstrained environment for monitoring student attendance

Traditional paper based attendance monitoring systems are time consuming and susceptible to both error and data loss. Where technical advances have attempted to solve the problem, they tend to improve only small portions i.e. confidence that data has been collected satisfactorily can be very high but technology can also be difficult to use, time consuming and impossible especially if the overall system is down. Camera based face recognition has the potential to resolve most monitoring problems. It is passive, easy and inexpensive to utilise; and if supported by a human safeguard can be very reliable. This thesis evaluates a strategy to monitor lecture attendance using images captured by cheap web cams in an unconstrained environment. A traditional recognition pipeline is utilised in which faces are automatically detected and aligned to a standard coordinate system before extracting Scale Invariant Feature Transform (SIFT), Local Binary Pattern (LBP) and Eigenface based features for classification. A greedy algorithm is employed to match captured faces to reference images with faces labelled and added to the training set over time. Performance is evaluated on images captured from a small lecture series over ten weeks. It is evident that performance improves during the series as new reference material is included within the training data. This correlation demonstrates that the success of the system is determined not only by the on-going capturing process but also the quality and variability of the initial training data. Whilst the system is capable of reasonable success, the experiments show that it also yields an unacceptably high false positive rate and cannot be used in isolation. This is primarily because the greedy nature of the algorithm allows the possibility of assigning multiple images of the same person captured in the same lecture to different students including ‘no shows’.
Building Competitive Advantage for Vietnamese Firms: The Roles of Knowledge Sharing and Innovation

The purpose of this study is to investigate the influence of knowledge sharing (KS) and two specific types of innovation on competitive advantage in Vietnamese firms. Based on using structural equation modeling (SEM) and survey data collected from 225 participants, the findings reveal that KS directly and indirectly affects firm’s competitive advantage through the mediating role of innovation speed and innovation quality. The findings stress the important role of building a positive climate to stimulate employees for sharing knowledge aimed at improving firm’s innovation capability, and sustaining competitive advantage. Future research needs to explore the relationship between three components of knowledge management namely knowledge acquisition, KS, and knowledge application, innovation, and specific aspects of competitive advantage (such as low cost advantage, differentiation advantage, and time advantage) to provide deeper the mechanism of how specifics aspects of knowledge management connected with firm’s certain types of competitive advantage through innovation.
WHY DO PEOPLE KEEP THEIR PROMISES ? AN EXPERIMENTAL TEST OF TWO EXPLANATIONS 1

Numerous psychological and economic experiments have shown that the exchange of promises greatly enhances cooperative behavior in experimental games. This paper seeks to test two theories to explain this effect. The first posits that individuals have a preference for keeping their word. The second assumes that people dislike letting down others’ payoff expectations. According to the latter account, promises affect behavior only indirectly, because they lead to changes in the payoff expectations attributed to others. I conduct an experiment designed to distinguish between and test these alternative explanations. The results demonstrate that the effects of promises cannot be accounted for by changes in payoff expectations. This suggests that people have a preference for promise keeping, per se.
The Reactions of Muskoxen to Snowmobile Harassment

Twenty-one harassment trials on 14 muskox herds were conducted in April and May 1982 on eastern Melville Island, N.W. T. Each trial consisted of a slow approach directly toward the herd on a snowmobile. The snowmobile, returned along its approach path as soon as 50% of the herd was alerted. Distance at which the first animal reacted (IRD) averaged 345.0 m(range 162-650 m) and the distance from the herd at closest approach (CAD) averaged 267.2 m(range 87-645 m). IRD was positively correlated with wind speed. No correlation between CAD and any of the measured variables was found. Maximum reaction level of the herd was positively correlated with herd size (rs = 0.488, P<0.05). No significant differences in IRD or CAD were found between or among classes of discrete variables such as topography and wind direction, but sample sizes were small. Adult female muskoxen reacted first more frequently than expected (P<0.02). Two herds were approached repeatedly (one six times and one three times) to assess habituation. Results were inconclusive. IRD for the herd that was approached three times decreased progressively. IRD for a herd approached six times was variable but shortest on the sixth approach and the reaction level of the herd also was low on the sixth approach. Key words: muskoxen, harassment, snowmobile, Melville Island, N.W. T.
Fuzzy logic based adaptive MPSoC for balanced energy and throughput

In this paper a Fuzzy logic based Controller has been proposed to reconfigure multi-processor system on chip (MPSoC)architecture according to the workload requirements. Mamdani and Sugeno Inference Engines are compared andanalyzed to enhance the smooth regulation of reconfiguration in design space. The proposed MPSoC platform consistsof 16 cores, where each core has private L1 cache and a shared L2 cache. The design space exploration parametersevaluated are CPUs operating frequency, number of cores, throughput and energy consumption. Marssx86 simulatoris used to build the target machine and SPLASH-2 benchmarks are executed on this configured architecture. MamdaniInference Engine for the said implementation has shown up to 14%-23% decrease in Energy-Delay2Product (ED2P) forvarious benchmark applications. Hence the performance of Mamdani inference engine was found to be better than theSugeno one for this particular implementation.
Study on the Vibration Characteristics of a complex Multiple launch rocket system

Abstract. Transfer matrix method for multibody system (MSTMM) is a new and efficient method for multibody system dynamics (MSD) developed in recent 20 years. Based on many advantages of MSTMM in studying MSD, the rapid and accurate computation problem of vibration characteristics of a complex multiple launch rocket system (MLRS) are solved in this paper. The dynamics model, the transfer equations of elements, the overall transfer equation and the eigenfrequency equation are established. The results got by MSTMM were validated by modal tests, and compared with ordinary dynamics method, the computational speed has been increased 65 times.
The Relationships among Leadership, Entrepreneurial Mindset, Innovation and Competitive Advantage (A Conceptual Model of Logistics Service Industry)

Nowadays, improvement of competitive advantage is an important and urgent issue facing logistics service companies in Indonesia. Some previous researches showed that to improve the competitive advantage could be conducted through improvement of leadership, entrepreneurial mindset and innovation variables. This research intended to recognize relationships among the variables. The research used causal-explanatory method. The results of research encompass a conceptual model, status of each variable and hypotheses. The conceptual model could be further verified through verification research.
A Grid Level High Power Back To Back System Using Modular Multilevel Cascade Converter Without Dc Link Capacitor

In this paper a fuzzy logic controller have been designed for back-to back (BTB) system unifying two modular multilevel cascade converters (MMCCs). Based on double-star chopper cells BTB system designed. The two DSCCs connected back-to-back consist of multiple cascaded chopper cells and a center-tapped inductor. Low voltage steps bring significant reductions in harmonic voltage and current to the BTB system. Neither dc-link capacitor nor voltage sensors required for regulating the dc-link voltage and controlling theca-link current. A three-phase downscaled BTB system with phase-shifted PWM is designed, with fuzzy logic controller to verify its operating principles and performance. The fuzzy logic controller improves the performance of the BTB system, compared with the conventional system. Analytical, simulated results agree well with each other in steady and transient states. Simulation waveforms can be done with MATLAB/SIMULINK software, and shows the effectiveness of a self-starting procedure.
Microseisms Generated by Super Typhoon Megi in the Western Pacific Ocean

Microseisms generated by the super typhoon Megi (13-24 October 2010) were detected on both land-based and island-based seismic stations. We applied temporal frequency spectrum analysis to investigate the temporal evolution of the microseisms. When Megi was over the deep basins of the Philippine Sea, only weak microseisms with short-period double frequency (SPDF, similar to 0.20-0.40 Hz) were observed. However, after Megi traveled into the shallower waters of the South China Sea, microseisms with both long-period double frequency (LPDF, similar to 0.12-0.20 Hz) and SPDF were recorded. The excitation source regions of the microseisms were analyzed using seismic waveform records and synthetic modeling in frequency domain. Results reveal that part of the LPDF microseisms were excited in coastal source regions, while the intensity of both LPDF and SPDF microseisms correlated well with the distance from seismic stations to the typhoon center. Synthetic computations of equivalent surface pressure and corresponding microseisms show that the wave-to-wave interaction induced by coastal reflection has primary effects on microseismic frequency band of similar to 0.10-0.20 Hz. The coastal generation of the dispersive LPDF microseisms is also supported by the observation of ocean swells induced by Megi through the images of C-band ENVISAT-ASAR satellite during its migration process. Two source regions of the microseisms during the life span of Megi are finally distinguished: One was mainly located in the left-rear quadrant of the typhoon center that generated both LPDF and SPDF microseisms at shallow seas, while the other one was near the coasts that generated mostly LPDF microseisms.
Trophy Hunting: The Tuli Safari Circle in Zimbabwe

Abstract Trophy hunting is a controversial activity which takes place in a contested socio-economic and natural-wildlife environment. The contestations revolve around issues of development, conservation, sustainability, ownership and distribution of resources. An investigation of stakeholders’ perceptions on these issues, within the developmental agenda of Zimbabwe, is the main aim of the study. Through a series of stakeholder interviews it is concluded that whilst local people prioritize the making of economic gains from their environmental resources, government officials and the National Parks authority are more concerned with environmental protection and sustainability. The game farmer or concession holder’s priorities are mainly sustainability and profit and the clients’ primary objective is to derive satisfaction from hunting down a worthy trophy. In practice, the differences and similarities in environmental perceptions of stakeholders in the Tuli Safari Circle affect decision making realities in light of economic, developmental and sustainability issues. Whilst common perceptions a cross stakeholders could lead to effective policy making and achieve sustainability, balancing the diverse interests of the various stakeholders to the satisfaction of all remains a difficult objective.
Modification of Oxide Thin Films with Low-Energy Ion Bombardment

We review in this chapter the use of low-energy ion bombardment (LEIB) in oxide thin films. In most cases, radiation effects in oxides are ultimately based on the preferential sputtering of the oxygen anions, yielding a chemically reduced oxide. The physics gov - erning the processes in the low ion energy range will be briefly commented here. Also, general uses and applications of LEIB are reviewed here, focusing later in those specific applications on oxide layers. LEIB in oxides has supported, for instance, the fabrication of conductive transparent layers on top of semiconductors or the formation of self-orga- nized morphological surface patterns. Finally, we show a novel application of LEIB when applied on single-crystalline surfaces of some oxides, which is the formation of an epi - taxial thin film of the corresponding suboxide. For instance, we show how ion bombard ment transform the surface of TiO 2 (110) into an epitaxial TiO(001) thin film.