Miracle-dz/UniFAR-FTUs huggingface dataset:
On the role of surface properties for implant fixation : From finite element modeling to in vivo studies

The aim of this thesis was to gain a deeper understanding of the factors contributing to the fixation of bone-anchored implants, especially with regard to surface chemistry, surface topography and implant loading. The methodology used in the thesis ranges from systematic bench studies, computer simulations, experimental in vivo studies, to load cell measurements on patients treated with bone-anchored amputation prostheses. The bone response to the surface chemistry was the main factor of interest in paper I and II. It was evaluated by adding a low amount of Zr to electron beam melted Co–Cr–Mo implants in vivo using a rabbit model, and a novel Ti–Ta–Nb–Zr alloy was compared to cp–Ti in vivo using a rat model, respectively. Surface roughness parameters and factors related to the removal torque technique were identified in a systematic experimental study (Paper III). Finite element analysis was used to study the effect of surface topography and geometry on mechanical retention and fracture progression at the implant interface (Paper IV). In the last paper, site-specific loading of the bone-implant interface was measured on patients treated with bone-anchored amputation prosthesis. The effect of typical every-day loading for the boneimplant system was simulated by finite element analysis. Evaluation of retrieved tissue samples from a patient undergoing implant revision was conducted to determine the interfacial condition after long-term usage (Paper V). It was concluded that the surface topography, the surface chemistry and the medium surrounding the implant were all found to influence the stability of the implant. A model of interfacial retention and fracture progression around an implant was proposed. Observations of bone resorption around an amputation abutment can partly be explained by the long-term effect of daily loading. In summary, the implant surface properties can be tailored for improved biomechanical anchorage and optimal load transfer, thus reducing the risk of implant failures and complications in patients.
Testing Significance of Multi-Destination and Multi-Purpose Trip Effects in a Travel Cost Method Demand Model for Whale Watching Trips

Inclusion of multi-destination and multi-purpose visitors has an appreciable influence on a standard count data travel cost model derived estimate of willingness to pay but the differences are not statistically significant. We adapt a more general travel cost model (TCM) of Parsons and Wilson (1997) that allows for inclusion of multi-destination visitors as incidental demand to allow estimation of an unbiased measure of single and multi-destination willingness to pay for whale viewing using a single pooled equation. The primary purpose trip values from the standard TCM and simple generalized TCM model are identical at $43 per person per day and neither are significantly different from the $50 day value from a generalized model that distinguishes between joint and incidental trips. The general models avoid underestimation of total recreation site benefits that would result from omitting the consumer surplus of multi-destination visitors.
Nutrient status and photosynthetic efficiency of banana (Musa sp.) influenced by Meloidogyne incognita infected with Pasteuria penetrans [India]

Investigations were made to study the changes in the leaf nutrient status, total chlorophyll content and photosynthetic efficiency of banana (Musa sp.) due to Meloidogyne incognita alone and in association with Pasteuria penetrans. Significant reduction of M. incognita infestation, in terms of gall index, number of egg masses and nematode population in soil, was recorded when more P. penetrans spores were added to the soil in which the plants were growing. The infestation of M. incognita decreased the nitrogen, phosphorus, potassium and magnesium levels in the leaves of banana and increased the calcium level. The total chlorophyll content and photosynthetic efficiency were reduced by up to 7.2 and 13 percent, respectively, in banana inoculated with M. incognita alone. Application of P. penetrans induced changes in the opposite direction and the reactions were more pronounced when greater quantities of P. penetrans were applied.
Glacier changes in Alaska: can mass-balance models explain GRACE mascon trends?

Abstract Temperature and precipitation data from three weather stations in the St Elias Mountains of Alaska and northwestern Canada were used to drive one-dimensional (1-D) (elevation-dependent) and 0-D degree-day mass-balance models. Model outputs were optimized against a 10 day resolution time series of mass variability during 2003–07 obtained from Gravity Recovery and Climate Experiment (GRACE) mass concentration (mascon) solutions. The models explained 52–60% of the variance in the GRACE time series. Modelled mass variations matched the phase of the GRACE observations, and all optimized model parameters were within the range of values determined from conventional mass-balance and meteorological observations. We describe a framework for selecting appropriate weather stations and mass-balance models to represent glacier variations of large regions. There is potential for extending these calibrated mass-balance models forwards or backwards in time to construct mass-balance time series outside of the GRACE measurement window.
Complete Simulation of Laser Induced Field Emission from Nanostructures Using a DGTD, PIC and FEM Code

We present a general and efficient numerical algorithm for studying laser induced field emission from nanostructures. The method combines the Discontinuous Galerkin Time Domain (DGTD) method for solving the optical field profile, the Particle-In-Cell (PIC) method for capturing the electron dynamics and the Finite Element Method (FEM) for solving the static field distribution. The charge distribution is introduced to the time-domain method based on a modified Fowler-Nordheim field emission model, which accounts for the band-bending of the charge carriers at the emitter surface. This algorithm is capable of considering various effects in the emission process such as space-charge, Coulomb blockade and image charge. Simulation results are compared with experimental findings for optically driven electron emission from nanosharp Si-tips.
Structural analyses of the ribosome by hybrid approach

The ribosome is the molecular machine which reads and translates genetic information into proteins in all living cells. Lack of an atomic-resolution structure of the ribosome in its actual functional states prevents our understanding of the ribosome. A hybrid approach overcomes the challenge by combining experimental data from X-ray crystallography and cryo-electron microscopy with computing, permitting one to resolve atomic-level structures of intermediates of the functional ribosome and, thereby, to advance our understanding of ribosome function and the underlying physical mechanisms. In this thesis works we further developed an existing hybrid approach, namely the molecular dynamics flexible fitting (MDFF) method, and apply it to the ribosome. We improved MDFF in two regards, first by incorporating structural symmetry information into the fitting protocol and second by the use of a so-called implicit solvent model. In pursuit of the needed methodological development we participated in the Cryo-EM Modeling Challenge 2010, competing with the MDFF method against other hybrid methods. Two aspects of ribosomal functions were investigated. First we studied bacterial resistance to the antibiotic tetracycline, a study that involved a detail investigation of processes in the ribosome. Second we employed MDFF and molecular dynamics simulations to characterize the dynamics of a ribosome-bound chaperone, called trigger factor.
The Effects of Bureaucracy Internal Politics towards Citizen Satisfaction

Abstract. The contradiction between the point of view of organization-internal political games in bureaucracy and professional behaviour of bureaucrats has been a general issue of public service in Indonesian local government. Some researchers, as Mintzberg, have viewed organization-internal politics games in a bureaucracy as a certainty. Organization-internal politics has naturally existed in an organization with its positive impacts. The political games phenomena in a government bureaucracy could be a mechanism of dynamic changes of a status-quo. Meanwhile, some researchers have viewed that professional bureaucracy should be free from political party interests and cliques. In other words, they should be neutral and fair toward citizen in their services. The problem is whether this organization-internal politics can be a significant influence as a drive or determinant factor for citizen satisfaction with local government service. This article tries to reveal the influence of internal politics bureaucracy towards citizen satisfaction, in an effort to test the two variables in providing the basic needs of citizens. Quantitative approach is used in this study. The findings of this study indicate that the two variables were negatively correlated. Therefore, organization-internal politics could be an absolute predictor that has to be considered to citizen satisfaction with local government service as an outcome of service and democratic accountability of local public service provider. Keywords: bureaucracy, organizational-internal politics, citizen satisfaction
Scale Space Descriptors for Spatial Navigation

Animals and robots need to navigate through the world; Therefore they need a way to localize themselves and navigate through their environment. Recently, a novel theory for the encoding of transitions between two places has been developed. This theory uses scale-space to speed up computational performance. To apply this encoding of the transitions, a scale-space representation of the environment is needed. To answer this need, a biologically inspired localization system is presented in this work. To encode each position in the environment a descriptor is built using spatial sensors. The design of the descriptors is inspired by boundary vector cells to thereby test a new theory about their function in the brain. The descriptors are then compared with each other on multiple scales of approximation to estimate the distance between them without using global coordinates. The comparison algorithm is inspired by the scale-space theory from computer vision.
Effect of Workplace Stress on Marital Adjustment and Marital Satisfaction among females across Mumbai

Background and Objectives: The research aimed at studying Marital Adjustment and Marital Satisfaction in participants experiencing high workplace stress and low workplace stress residing in Mumbai. The sample size consisted of 120 working females i.e. 60 participants experiencing high workplace stress and 60 participants experiencing low workplace stress. Methods: The Convenience and Snowball non-probability sampling method was used to collect data in person and online through google forms. The tools employed were Marital Adjustment Test (MAT) given by Locke, H.J., Wallace, K.M. (1959), Relationship Assessment Scale (RAS) given by Hendrick, S.S (1988) and Workplace Stress Scale (WSS) given by Harris Interactive, Marlin Company, North Haven and The American Institute of Stress (2006). Results: Descriptive statistics was used to calculate statistical properties and age of the participants. To find the difference between two groups WSS (High and Low), independent t-test was used to find the significance level. The t value obtained for MAT was -. 760 and RAS was -1.763 with degree of freedom 118. The results obtained were found to be insignificant. Conclusion: The findings indicate that the workplace stress category of females had no effect on marital adjustment as well as on marital satisfaction. However, despite supporting past studies, it was found that there was no significant relationship between the levels of workplace stress and marital adjustment and marital satisfaction.
A mesoscopical model of shape-memory alloys

Multiwell stored energy related to austenite and particular martensitic variants as well as a dissipation pseudopotential are used to assembly a mesoscopical model for an isothermal rate-independent martensitic transformation in shape memory alloys. Theoretical results concerning numerical approximation of involved Young measures by laminates are surveyed and computational experiments are presented for CuAlNi single crystals.
SHAPE OPTIMIZATION OF GRAPHENE SHEETS FOR MAXIMUM FUNDAMENTAL FREQUENCY

Abstract. Graphene sheets (GSs) have been proposed to be a base material for nanoelectromechanical systems (NEMS) because of their excellent mechanical and electrical behaviors. In this work, we carry out shape optimization of GSs to enhance their dynamic behaviors. According to the Tersoff-Brenner force field theory and a link between molecular mechanics and solid mechanics of C-C bond, we model GSs as continuum frame structures at first. Then, we optimize the shape of the atomistic finite element models based on a developed free-form optimization method for frame structures. In this optimization process, we use the fundamental frequency as objective function and maximize it under a volume constraint and considering repeated eigenvalue problem. We assume each equivalent continuum beam to vary in the offaxis direction to the centroidal axis, and derive the shape gradient functions for determining the optimal design velocity field. According to the derived optimal design velocity field, the shape optimization of GSs can be carried out without shape parametrization. The numerical results show that, the fundamental frequency of GSs can be significantly enhanced after shape optimization, which would be helpful for applying GSs in NEMS.
Forecasting KOSPI using Elman network

Due to the non-stationary nature of stock market index, making a prediction on its course is a truly challenging task. Research has been actively conducted to predict stock market indices by means of machine learning in recent years. In our research, we made a prediction of KOSPI for one week based on Elman Network. Based on the predictive result, we ran a simulation from which we obtained 3.16% yield over a period of one year. In this paper, we describe how we exploited Elman network to make predictions on stock markets, then we propose a method for using the predictive values for investment.
Comparison of Ginseng Product Consumers Based on Processed Type of Ginseng

This study aims to analyze the differences of ginseng product consumers and segment Korean fresh ginseng and red ginseng root markets based on attributes for the purchase. As a result of analyzing survey data, the red ginseng root consumers had different aspects from fresh ginseng consumers. According to the result of cluster analysis, the fresh ginseng consumers were subdivided into three segments (safety-oriented consumption cluster, label centered consumption cluster, and high involvement consumption cluster), while the red ginseng root consumers were subdivided into four segments (convenience-oriented consumption cluster, high involvement consumption cluster, raw material's safety-oriented cluster, and raw material's information importance cluster). ANOVA and Crosstab were conducted to investigate characteristics of each cluster.
Bengali Parsing System at ICON NLP Tool Contest 2010

This paper reports about the development of a Bengali Dependency Parser as a part in the ICON 2010 NLP TOOLS CONTEST: IL Dependency Parsing. Due to syntactic richness of Bengali language, hybrid architecture has been proposed for the problem domain. A statistical data driven parsing system (maltparser) has been used followed by a rule-based postprocessing technique. The system has been trained on the ICON 2010 NLP TOOLS CONTEST: IL Dependency Parsing at ICON 2010 datasets. The system demonstrated an accuracy of 83.87% 64.31% 69.3% respectively over finegrained tagset.
Inductive Learning: Does Interleaving Exemplars Affect Long-Term Retention?.

Purpose: The present study investigated whether or not the benefi ts of interleaving of exemplars from several categories vary with retention interval in inductive learning. Methodology: Two experiments were conducted using paintings (Experiment 1) and textual materials (Experiment 2), and the experiments used a mixed factorial design. Forty students participated in each experiment for course credit. In each experiment, participants studied a series of exemplars from several categories which were presented massed and interleaved, and later their induction was tested either shortly after the study phase (short-term retention) or after a week's delay (long- term retention). Findings: Consistent with fi ndings from previous studies, the interleaving effect was found in the short-term retention condition, and crucially, the present study provided the initial evidence that interleaving of exemplars also affected long-term retention. Interestingly, massing was judged to be more effective than spacing (interleaving) in most groups, even when actual performance showed the opposite. Significance: The present study shows that interleaved exemplars have considerable potential in improving inductive learning in the long term. For example, induction is used in case-based reasoning which requires one to start with learning from specifi c cases, and then form generalizations of these cases by identifying the commonalities between them. In order to enhance long-term retention, educators may want to consider using interleaved presentation rather than massed presentation in teaching examples or cases from a particular category or concept.
Computational Model for Biogas Production from Solid Waste

This study describes and evaluates a computational model for biogas production as a function of time u sing urea, cow and horse dung as inoculums. The inoculums were co-digested with Organic Fractions o Municipal Solid Waste (OFMSW) at room temperature. A series of laboratory experiment s using 1500 ml bio-digester and super saturated sa line water flask were performed in batch operation mode for a period of 46 days. Four (4) batch digesters were utilized ; each contained varying amounts of the inoculums with that of food waste kept constant. Biogas production was measured indirectly by water displacement method. The actual bio-digester potential was determined using the modelled equatio n to adequately describe the cumulative biogas production from thes e digesters (A-D). It was observed that the rates o f removal of biodegradable fractions of the substrate could be o btained by plotting 1/t (lndyt/dt) against 1/t. The results showed that the first order kinetic constant of -0.0114 and Short T erm Anaerobic Biodegradability Index (STABI) of 5.4495 for Digester A, containing 30 g of urea and 10 g of food waste; had the highest yield of biogas with cumulative volume of 389.7 ml and an R 2 value of 0.9934. Digester A was followed by Digest er C with a STABI of 3.8401 and removal rate constant of -0.0273; which was in turn followed by Digester D.
EFFECT OF AQUIFER BOTTOM MORPHOLOGY ON SEAWATER INTRUSION

In a coastal aquifer with a valley-shaped impermeable bottom, the seawater convection cell is essentially horizontal rather than vertical as is usually assumed, with seawater entering inland across the whole thickness of the aquifer in the central (deepest) portion. This causes a marked increase in the saltwater intrusion along such a section and a much more marked response to pumping. A “lateral buoyancy” dimensionless number can quantify this effect. In many deltaic areas, the aquifer bottom is an erosive surface characterized by the presence of paleochannels that are the deepest and often the most permeable zones of the aquifer. A study of the effect of aquifer bottom topography on seawater intrusion requires 3D numerical modelling because lateral variations in elevation have to be coupled to variations in density along the vertical coordinate. A synthetic sedimentary medium representative of paleochannels is studied. The effect of bottom topography is assessed in three cases: (1) a horizontal aquifer, (2) an aquifer with constant seawards slope, and (3) a non-planar aquifer with a deep central section and a shallow lateral section. Results suggest that cases 1 and 2 display qualitatively similar behaviours, with the typical vertical convection cell in the seaward side of the interface, while case 3 displays a lateral convection cell.
INTER-CONFIDENTIALITY PROTECTION OF AGENT COMMUNICATION IN MULTI-AGENT SYSTEM BASED APPLICATIONS

Mobile agent interaction is usually vulnerable to attacks from within and outside the agent’s execution environment. Also, the mobility property of mobile agents earns them the opportunity to migrate from one security domain to another. Intranet/LAN with connection to internet do, from time to time, experience agent visitation either for malicious purpose or for legitimate mission. To protect legitimate agent communication against attack by visiting agent, we propose a technique that restricts migration of the visiting agent and isolate it to a neutral host where its mission could be achieved. We refer to this technique as restriction-based access control mechanism (ResBAC). The proposed mechanism employs certificate authentication , re-defining visiting agent itinerary path and visiting agent isolation to accomplish the aforementioned objective. The performance of the proposed mechanism is evaluated using scenarios to determine the strength of the mechanism in term of its ability to protect agent communication against the three major threats: man-in-the-middle attack, replay attack, and passive eavesdropping.
SOFT COMPUTING BASED CONTROLLERS FOR ELECTRIC DRIVES - A COMPARATIVE APPROACH

PID controllers are widely used in industrial plants because it is simple and robust. Industrial processes are subjected to variation in parameters and parameter perturbations, which when significant makes the system unstable. The aim of this paper is to design a controller for applications of various electric drives in industry by selection of PID parameters using soft computing techniques. Performance of Z-N methods have been compared and analyzed with the intelligent tuning techniques like Genetic algorithm, Evolutionary Programming, Particle Swarm Optimization and Bacterial Foraging Optimization. Soft computing methods have proved their excellence in giving better results by improving the steady state characteristics and performance indices.
Revision of the EPICA Dome C CO2 record from 800 to 600 kyr before present

The European Project for Ice Coring in Antarctica Dome ice core from Dome C (EDC) has allowed for the reconstruction of atmospheric CO2 concentrations for the last 800,000 years. Here we revisit the oldest part of the EDC CO2 record using different air extraction methods and sections of the core. For our established cracker system, we found an analytical artifact, which increases over the deepest 200 m and reaches 10.1 ± 2.4 ppm in the oldest/deepest part. The governing mechanism is not yet fully understood, but it is related to insufficient gas extraction in combination with ice relaxation during storage and ice structure. The corrected record presented here resolves partly ‐ but not completely ‐ the issue with a different correlation between CO2 and Antarctic temperatures found in this oldest part of the records. In addition, we provide here an update of 800,000 years atmospheric CO2 history including recent studies covering the last glacial cycle.