Miracle-dz/UniFAR-FTUs huggingface dataset:
Pengaruh Karakteristik lndividu, Sikap, dan Pelatihan Terhadap Penggunaan Teknologi lnformasi dan Kinerja Pegawai Kelurahan Menuju Terwujudnya E-Government

The government's use of information technology that is not maximum is caused by human resource problem. lnformation technology infrastructure will not be utilized maximally without good human resource support and this will result ini bad pedormance. Meanwhile there are not many research on human resource in information technolgy. lnformation technology human resource, commonly called as user, can be seen from characteristics, attitude, and training so that the inftuence of these variables towards the use of informaton technology needs to be investigated. The empiric data were taken from 105 employees of 21 districts (kelurahan) in Semarang. The data were processed by using SPSS 16. The result shows that the use of lT is significantly influenced by the characterstics, attitude and training, while the use of lT in kelurahan also inftuences the pertormance of employees. Characterisctic has negative influence and it is dominated by age factor. Education and the length of working time do not have significant influence. Affective attitude and psychomotor give positive influence to the use of lT, while cognitive attitude does not. Computer training variable is dominated by duration rather than frequency factor. To improve the use of computer in kelurahan, age, affective attitue, psychomotoric attitude, and the duration of training should be considered. From the processed empiric data, the use of IT significantty influences performance. Therefore, e-government should be implemented since this will influnce the employee perfomance. Keywords: attitude, characteristics, pertormance, the use of computer, training
On the calibration of high dynamic range photography for luminance measurements in indoor daylit scenes

This article describes a study of two issues concerning the calibration of high dynamic range (HDR) photography for luminance measurements in indoor daylit spaces: (i) the selection of a target in a scene for calibration and (ii) the variation of the calibration factor with different daylight levels. Luminance measurements of coloured and grey targets were conducted in a classroom under stable sky conditions using a calibrated luminance meter and HDR photography. Comparisons between luminance values measured by HDR photography and the spot luminance meter were carried out. This study affirms the findings of a previous study that grey targets are more suitable for use in the calibration of HDR photography for luminance measurements. Using a grey surface of 18% reflectance, the ratio between luminances obtained by the two methods, regarded as the calibration factor, was computed. It was found that there was a weak and insignificant correlation between calibration factor and daylight levels within the range of investigation in this study.
PRECISION ESTIMATES OF SELECTED VOLUMETRIC PROPERTIES OF HMA USING NON-ABSORPTIVE AGGREGATE

The Superpave system for the laboratory design of Hot Mix Asphalt (HMA) requires the use of Superpave gyratory compactors for the compaction of specimens. The procedure used for this purpose is included in AASHTO T312. This study was undertaken with the objective of developing a precision statement applicable to AASHTO T312 and updating the published precision statements for AASHTO T166 and ASTM D2041-01. Another objective was to prepare first-cut precision estimates for ASTM provisional standards ASTM PS131 and ASTM PS132. The experimental plan for the study selected an aggregate source that produced relatively uniform non-absorptive limestone aggregate. The binder for the study was a PG 64-22 meeting the requirements of AASHTO MP1. Twenty-seven laboratories participated in an interlaboratory program. The study resulted in proposed precision statements in a format for consideration by standards committees for D2041, T166 (Method A), and T312.
A More Efficient and Effective Objective Measure of Financial Disclosure Quality: Omissions of Seven Key Financial Statement Variables.

Chen et al. (2015) develop a measure of disclosure quality, DQ, based on omissions of financial statement variables and requiring complex analyses of hundreds of items. They validate their model with four accepted measures linked to financial disclosure quality: analyst forecast accuracy and dispersion, bid-ask spread, and cost of equity. We propose a much simpler, theorybased and empirically-supported measure of missing variables, REPORT, based on omissions of the seven variables found most value relevant by Lev and Thiagarajan (1993). To compare REPORT with DQ, we replicate Chen et al. (2015) and compare the models with Vuong and Clarke tests. We find that REPORT performs very well; DQ is found superior to REPORT in only two of eight Vuong/Clarke tests (and one “tie”). However, as DQ and REPORT have greatest power only for differing parts of the sample, we find that a combined model outperforms either, alone. Because REPORT only has power with respect to about one-third of the sample missing one or more its seven variables, we expand the measure with nine additional variables used in Wahlen and Wieland (2010) to predict one-year-ahead earnings changes. This expands the sample coverage to more than two-thirds of the sample and, like REPORT, this 16 variable measure generally outperforms DQ and the combination of it and DQ consistently dominates DQ, alone.
İLKÖĞRETİM OKULLARI BİRİNCİ KADEMEDE FEN BİLGİSİ ÖĞRETMENLERİNİN EĞİTİM ARAÇ-GEREÇLERİNİ KULLANMADURUMLARI

This study was conducted 22 primary school at centre of Amasya and it was surveyed on 150 teachers who teach science at 4th and 5th class in primary school. Teachers were asked if they used equipment in science lesson. It was practised frequency and percentile from statistics methods. It was concluded that teachers do not use enough equipment in science class and there is lack of equipment in school.
Modeling and Measuring Performance of Data Dissemination in Opportunistic Networks

Keywords: Opportunistic networks ; delay-tolerant networks ; pocket switched networks ; hybrid networks ; performance modeling ; system design ; securing opportunistic communication ; network measurement ; validating simulation with measurements ; optimization ; algorithm design and analysis ; offloading 3G networks ; energy-efficient architecture These Ecole polytechnique federale de Lausanne EPFL, n° 5448 (2012)Programme doctoral Informatique, Communications et InformationFaculte informatique et communicationsInstitut de systemes de communicationLaboratoire pour les communications informatiques et leurs applications 2Jury: B. Moret (president), A. Chaintreau, J.-P. Hubaux, E. Yoneki Public defense: 2012-9-21 Reference doi:10.5075/epfl-thesis-5448Print copy in library catalog Record created on 2012-08-15, modified on 2017-11-20
‘Base of the pyramid’ markets as incubators for innovations : Implications for innovation processes of internationally operating companies

This thesis identifies the enabling factors that are relevant for a company’s BoP innovation process. It aims at visualizing differences and challenges of BoP innovation processes in contrast to generic innovation processes. A literature review which was conducted first identified seven enabling factors for generic innovation processes: customer orientation, rigorous planning & early specification, pre-development activities, formalized project selection, functional competence & cross-functional teams, strong project leader and top management support. These theoretical findings provided the necessary framework for the qualitative, semi-structured interviews that were conducted with two companies, GE Healthcare and Godrej & Boyce, which both recently implemented a BoP project. The empirical results visualized the companies’ BoP innovation processes and suggested the following findings. First, the focus on customer orientation was strengthened as a company’s unfamiliarity with the local context strengthens the importance of exactly understanding the consumers’ needs. Second, rigorous planning & early specification was found not as important as in generic innovation processes due to the novelty of the endeavor and the necessary adjustments in the course of the project. Third, predevelopment activities remain important. Fourth, formalized project selection is found to be one of the most influential factors for a BoP innovation project. Fifth, no difference in significance was found in functional competence & cross-functional team. However, the two dimensions of internationality of the team and proximity to respective decision makers were added. Sixth, the case studies showed that a strong project champion is decisive for a BoP project. Last, top management support was found to be one of the most important factors for a BoP innovation project as adjusting structural factors and strategic orientations is necessary for a BoP project to fully unfold. Furthermore, three additional factors (strategic (re-)orientation of a company, independent business unit and mindsets and work approach) were discussed.
Reliability-based optimization and optimal reliability level of offshore wind turbines

wind turbines, are within a control system. In this paper it is assumed that the control system can fail. Finally, inspection and maintenance are included in the formulation. In all cases a purely monetaryoptimization is considered, since it is assumed that for offshore wind turbines the probabilityof loss of human lives is negligible.
Gelatin Nanoparticles as Delivery System for Nucleotide-Based Drugs

The present thesis deals with the development of nanoparticles based on the proteinaceous macromolecule gelatin as delivery system for various nucleotide-based drugs. Since a method to produce homogenous nanoparticles was already described in principle (Coester et al. 2000), it was the first approach to characterize, optimize, and standardize this manufacturing process. The next goal was to advance these plain gelatin nanoparticles via modification of the surface towards a delivery system for nucleotide-based drugs. Subsequent to this, the newly established carrier system should be evaluated in preclinical trials. In addition to these main projects, it was also an aim of this study to investigate and influence the biodistribution of gelatin nanoparticles. Due to the multitude of independent projects, the present work is divided into five self-contained chapters. In Chapter I, fundamental research data concerning the preparation of gelatin nanoparticles is described. Thereby, the work was focused on process optimization of the existing preparation procedure. Moreover, new analytical tools to characterize gelatin and the gelatin nanoparticles are introduced. Chapter II features the data that were produced in cooperation with the Department of Pharmaceutical Biotechnology at Ludwig-Maximilians-University Munich. In this cooperation, plasmid DNA was bound onto the surface of previously modified gelatin nanoparticles by electrostatic interactions. Subsequent preparation optimization, this simple non-viral gene delivery system was investigated in vitro on murine melanoma cells. The major project of this work, the development and evaluation of gelatin nanoparticles as carrier system for immunogenic so called CpG oligonucleotides is presented in Chapter III and Chapter IV. The data has been generated in cooperation with the Department of Internal Medicine at the Ludwig-Maximilians-University Munich and initially during a 3-month research stay at the Faculty of Pharmacy at the University of Alberta in Edmonton, Canada. Chapter III features extensive in vitro investigations on the respective primary murine and human target cells such as dendritic cells and B cells, whereas in Chapter IV, the results of in vivo experiments are presented. Here, the immunogenic effects of CpG oligonucleotide-loaded nanoparticles alone and their adjuvant activity in combination with the model protein antigen ovalbumin (OVA) were explored. In the final chapter, Chapter V, first PEGylation experiments of gelatin nanoparticles are described, with special emphasis on the establishment of new analytical tools for the quality control of the PEGylation process. In the second part of this chapter, radiolabeling strategies were developed in cooperation with the Department of Nuclear Medicine (TU Munich) to enable real-time in vivo tracking of the gelatin nanoparticles via positron emission tomography (PET).
Circulation processes on the San Pedro shelf

Moored current and temperature measurements on the San Pedro shelf show that the circulation has three major components. The sub-tidal currents are primarily a result of slope circulation processes including the California Counter Current and poleward Undercurrent. Fluctuations have characteristic periods of 10 to 30 days with magnitudes decreasing from the shelf-break shorewards. Persistent sea-breezes force sub-inertial clockwise rotary current fluctuations on the outer shelf with a one-day period. These are present throughout the year with the highest amplitudes in summer. These fluctuations decay rapidly with depth. Tidal currents are predominantly semidiurnal. They are barotropic and aligned with the isobaths near the coast, but at the shelf break, there is evidence of internal tide generation with cross-isobath flows near the seabed.
Impact of Strategy, HRM Strength and HRM Bundles on Innovation Performance and Organizational Performance

This study uses structural equation modeling to test a model of the impact of human resource management bundles on perceived organizational performance and innovation performance, on a large sample of companies. Strategic management orientation and innovation as a strategic factor are proposed to influence the existence of two types of HR bundles, functional flexibility and performance management, as well as contributing to stronger HR systems. HRM Strength, which integrates the metafeatures of an HRM system and provides a common interpretation of organizational goals, has a strong positive impact on both innovation and organizational performances. Finally, while both the functional flexibility and performance management bundles have a positive impact on organizational performance, they do not seem to affect innovation performance.
Aircraft conflict analysis and real-time conflict probing using probabilistic trajectory modeling

Methods for maintaining separation between aircraft in the current airspace system have been built from a foundation of structured routes and evolved procedures. However, as the airspace becomes more congested and the chance of failures or operational error become more problematic, automated conflict alerting systems have been proposed to help provide decision support and to serve as traffic monitoring aids. The problem of conflict detection and resolution has been tackled from a number of different ways, but in this thesis, it is recast as a problem of prediction in the presence of uncertainties. Much of the focus is concentrated on the errors and uncertainties from the working trajectory model used to estimate future aircraft positions. The more accurate the prediction, the more likely an ideal (no false alarms, no missed detections) alerting system can be designed. Additional insights into the problem were brought forth by a review of current operational and developmental approaches found in the literature. An iterative, trial and error approach to threshold design was identified. When examined from a probabilistic perspective, the threshold parameters were found to be a surrogate to probabilistic performance measures. To overcome the limitations in the current iterative design method, a new direct approach is presented where the performance measures are directly computed and used to perform the alerting decisions. The methodology is shown to handle complex encounter situations (3-D, multi-aircraft, multi-intent, with uncertainties) with relative ease. Utilizing a Monte Carlo approach, a method was devised to perform the probabilistic computations in near realtime. Not only does this greatly increase the method's potential as an analytical tool, but it also opens up the possibility for use as a real-time conflict alerting probe. A prototype alerting logic was developed and has been utilized in several NASA Ames Research Center experimental studies.
Hubungan Kadar Debu Terhirup (Respirable) Dengan Kapasitas Vital Paksa Paru Pada Pekerja Mebel Kayu di Kota Jayapura

Background: Furniture workers is one of the informal workers. Workers in this group are have not received occupational health services as expected. Pulmonary function disorders due to work which the most common especially in the wood processing industry. Methods: Research purpose was to analyze the relationship among factors of respirable dust level, age, working years, nutrition status, smoking habit, exercise habit, duration of exposure, and use of the PPE with the lung forced vital capacity on wood furniture workers in Jayapura. This study was an observational research with cross sectional approach and a sample of 40 man taken by purposive sampling. Respirable dust levels were measured using the Personal Sample Pump, tested for dust analysis using the Gravimetric method, while in the lung forced vital capacity was measured with Spirometry, and other data obtained by interviews. Data analysis using the Kendall’s Tau and Mann Whitney tests (± = 0,05). Results: The results showed levels of respirable dust in excess of TLV (> 1 mg/m3) for 3 respondents (7,5 %), the highest dust levels are 1.220 mg/m3 and the lowest at 0,020 mg/m3, the average value of 0,222 and SD 0,282 while for lung forced vital capacity by 23 respondents (42,5 %) had disorders lung function (restriction), 5 respondents (12,5%) had moderate restriction of 18 respondents (45%) had mild restriction with the highest value is 183 % FVC and lowest at 51 %, the average value of 84,40 % and SD 25,289. Statistical tests showed association (p = 0,05) between the levels of respirable dust (p-value = 0,050) with lung forced vital capacity, and that show no association (p > 0,05) is age (p-value = 0,916), working years (p-value = 0,991), BMI (p-value < 0,084), smoking habit (p-value = 0,158), exercise habit (p-value = 0,663), duration of exposure (p-value = 0,718), and use of the PPE (p-value = 0,658). Conclusion: The factors that affect the lung forced vital capacity in wood furniture workers in Jayapura is respirable dust levels. Keywords : Respirable Dust Levels, Lung Forced Vital Capacity, Wood Furniture Workers
CHARACTERIZATION OF APPARENT SOIL ELECTRICAL CONDUCTIVITY VARIABILITY IN IRRIGATED SANDY AND NON-SALINE FIELDS IN COLORADO

Recent advances in apparent soil electrical conductivity (ECa) sensor technology have provided the opportunity to rapidly map soil spatial variability for site-specific management. However, characterizing (or identifying the causes of) the ECa variability has remained difficult, with ECa and soil property (such as soil water and clay content) relationships showing a wide range of varying strength across fields. In this study, our objective was to characterize the main soil properties that alter ECa and evaluate the temporal variability of ECa and soil property relationships using multi-year measurements (1998 to 2003) in three center-pivot irrigated fields in eastern Colorado. Results show that for the irrigated sandy and non-saline fields, ECa maps may be viewed as surrogate maps for soil water content (.w), clay, cation exchange capacity, and/or organic matter content due to their strong correlations (with correlation coefficients between 0.66 and 0.96). The experimental linear functions of ECa versus soil properties changed over time when soil solution concentration (ECw) changed considerably. That finding was supported by theory (the dual-pathway ECa model) showing the relationship between ECa and soil stable properties (such as clay content) to be governed by the status of the soil transient properties of ECw and . w at the time of the ECa mapping. The temporal effect of varying soil temperature on ECa could be significant but was not accounted for due to lack of temperature data. Results collectively suggest that because of the lack of reliability of using empirical ECa and soil property relationships for predictive purposes over time, on-site calibration of ECa versus soil properties of interest are needed at each ECa mapping.
Numerical Modelling of the In-Nozzle Flow of a Diesel Injector with Moving Needle during and after the End of a Full Injection Event

The design of a Diesel injector is a key factor in achieving higher engine efficiency. The injector’s fuel atomisation characteristics are also critical for minimising toxic emissions such as unburnt Hydrocarbons (HC). However, when developing injection systems, the small dimensions of the nozzle render optical experimental investigations very challenging under realistic engine conditions. Therefore, Computational Fluid Dynamics (CFD) can be used instead. For the present work, transient, Volume Of Fluid (VOF), multiphase simulations of the flow inside and immediately downstream of a real-size multi-hole nozzle were performed, during and after the injection event with a small air chamber coupled to the injector downstream of the nozzle exit. A Reynolds Averaged Navier-Stokes (RANS) approach was used to account for turbulence. Grid dependency studies were performed with 200k–1.5M cells. Both k- and k- SST models were considered in the validation process, with the k- SST found to predict better the injector’s flow rate. The cavitation models of Schnerr-Sauer and the Zwart-GerberBelamri were employed for validation against optical data of cavitation in a simplified nozzle geometry obtained from the literature. The Schnerr-Sauer model was in better agreement with the experiments, hence this model was subsequently employed for the real injector simulations. The motion of the injector needle was modeled by a dynamic grid methodology. An injection pressure of 400 bar was applied at the inlet of the injector. Two outlet pressures were examined, 60 bar and 1 bar. The results showed that the flow was far from steady-state during the injection event and that hysteresis existed between the needle opening and closing phases. This indicated the importance of transient simulations, contrary to widely-used steady state simulations at fixed needle lifts. The two outlet pressures resulted in very different final states of the flowfield in the nozzle. Specifically, the nozzle ended up either full of liquid fuel at the end of injection or full of air after most of the fuel had been ejected into the chamber downstream. These predictions highlighted phenomena that can increase HC emissions due to fuel leakage, as well as processes that may be linked to different formation mechanisms of nozzle deposits. INTRODUCTION
Multivariate Statistical Process Control and Case-Based Reasoning for situation assessment of Sequencing Batch Reactors

ABSRACTThis thesis focuses on the monitoring, fault detection and diagnosis of Wastewater Treatment Plants (WWTP), which are important fields of research for a wide range of engineering disciplines. The main objective is to evaluate and apply a novel artificial intelligent methodology based on situation assessment for monitoring and diagnosis of Sequencing Batch Reactor (SBR) operation. To this end, Multivariate Statistical Process Control (MSPC) in combination with Case-Based Reasoning (CBR) methodology was developed, which was evaluated on three different SBR (pilot and lab-scales) plants and validated on BSM1 plant layout.