Miracle-dz/UniFAR-FTUs huggingface dataset:
Lossless compression and secrecy by design

The framework of secrecy by design is introduced and the fundamental limits of lossless data compression are characterized for this setting. The main idea behind secrecy by design is to begin with an operational secrecy constraint, which is modeled by a secrecy function fs, and then to derive fundamental limits for the performance of the resulting secrecy system. In the setting of lossless compression, it is shown that strong information-theoretic secrecy guarantees can be achieved using a reduced secret key size and a modular two-part coding strategy. Focusing on the non-asymptotic and asymptotic fundamental limits of lossless compression, variable-length lossless compression and fixed-length almost-lossless compression are studied. Although it is well known that the traditional fundamental limits of variable-length and almost lossless fixed-length compression are intimately related, this relationship collapses once the secrecy constraint is incorporated.
Machine Learning and Software Quality Prediction: As an Expert System

To improve the software quality the number of errors from the software must be removed. The research paper presents a study towards machine learning and software quality prediction as an expert system. The purpose of this paper is to apply the machine learning approaches, such as case-based reasoning, to predict software quality. The main objective of this research is to minimize software costs. Predict the error in software module correctly and use the results in future estimation. The novel idea behind this system is that Knowledge base (KBS) building is an important task in CBR and the knowledge base can be built based on world new problems along with world new solutions. Second, reducing the maintenance cost by removing the duplicate record set from the KBS. Third, error prediction with the help of similarity functions. In this research four similarity functions have been used and these are Euclidean, Manhattan, Canberra, and Exponential. We feel that case-based models are particularly useful when it is difficult to define actual rules about a problem domain. For this purpose we have developed a case-based reasoning model and have validated it upon student data. It was observed that, Euclidean and Exponential both are good for error calculation in comparison to Manhattan and Canberra after performing five experiments. In order to obtain a result we have used indigenous tool. For finding the mean and standard deviation, SPSS version 16 and for generating graphs MATLAB 7.10. 0 version have been used as an analyzing tool.
Evaluation of Simulation Engines for Crowdsensing Activities

The goal of this paper is to analyze existing simulation engines and assess how well-suited they are for simulating the formation, existence and dissolution of dynamic social networks, with a special emphasis on networks formed around crowdsensing efforts. The crowd in this context is a loosely-coupled social network of people, who use their mobile devices to collect and share data and receive some sort of service or satisfaction in return. Often it is hard to predict whether users would like a certain future crowdsensing application, therefore it is necessary to simulate the expected behavior of the crowd in a pre-specified simulation environment. This paper proposes an urban parking scenario, in which the drivers collect and share parking related events. The main part of this research is the analysis of three simulation engines, which will show which is the best suited for simulating dynamic social networks formed around crowdsensing efforts. The results will show that there are generic simulation environments capable of simulating large crowds, which also possess suitable visualization tools and integration with geospatial data.
Geographic variation in orangutan diets

This chapter explores variation in orangutan diets across their range, based on food lists. The authors of the chapter consolidated orangutan food lists from all available long-term field sites (N = 15). They represent both islands, multiple habitat types, varied degrees of degradation, and wild and rehabilitant populations. The chapter assesses the effects of habitat productivity (island, habitat type, habitat degradation) and rehabilitant–wild status on food lists. Findings suggest inverse relationships between habitat productivity and total plant taxa eaten at a site, the intensity at which individual food taxa are used, and the proportion of plant food species from which important food types are eaten. Analyses also explore food lists to suggest medical plant use, cultural influences on food knowledge, and the relationship between orangutan and other great ape diets. Discussion concerns conceptual implications of findings, methodological limitations to using food lists in the study of diet, and conservation applications.
Choice of Angiotensin Converting Enzyme Inhibitors versus Angiotensin II Receptor Blockers among Hypertensive Adults : Nationally Representative Estimates , 1997-2004

Background: A new report finds little evidence of differences in effectiveness between ARBs and ACEIs in treating hypertension. In this study, we develop the implications of the report by examining trends in ARB and ACEI use and by analyzing the patient level characteristics associated with being prescribed an ARB versus an ACEI. Methods: We use nationally representative data from the 1997-2004 Medical Expenditure Panel Survey. Our sample is comprised of adults (age 35+) who reported treatment for hypertension and used a RAASmodifier. We begin by estimating the total number of persons who purchased an ACEI or an ARB during the year for each year from 1997-2004. Then, we combine data for the years 2002-04 to estimate a multivariate logistic model to identify socioeconomic and clinical factors associated with an increased, or decreased, probability of ARB use. Results: From 1997-2004 the adult population reporting treatment for hypertension increased from 28.6 to 43.0 million persons. The study group, which consisted of those with any RAAS-modifier use, increased from 10.9 to 25.6 million and the proportion using an ARB increased from 10.1 to 35.4%. Among persons who used a RAAS-modifier from 2002-04, men, the uninsured, persons living in the Midwest or west, and patients with diabetes or coronary artery disease were less likely than others to use an ARB. Conclusions: Use of the newly-introduced ARBs increased rapidly despite little evidence of greater effectiveness compared to ACEIs. Among patients with RAASmodifier use, the ACEI / ARB choice was influenced by both clinical and non-clinical factors. G. Edward Miller, Ph.D. Agency for Healthcare Research and Quality Division of Modeling and Simulation Center for Financing, Access, and Cost Trends 540 Gaither Road Rockville, MD 20850 Ed.Miller@ahrq.hhs. gov Jessica Banthin, Ph.D. Agency for Healthcare Research and Quality Division of Modeling and Simulation Center for Financing, Access, and Cost Trends 540 Gaither Road Rockville, MD 20850 Jessica.Banthin@ahrq.hhs. gov
Synthesis of a Model-Based Tire Slip Controller

The Anti-lock Braking System is an important component of the steering system in a modern car. In the latest generation of brake-by-wire systems, the performance requirements on the ABS are much higher. The controllers have to be able to maintain a specified tire slip for each wheel during braking. The authors propose a design model and based on that a gain-scheduled controller that regulates the tire-slip. Simulation and test results are presented.
Front propagation in Rayleigh-Taylor systems with reaction

A special feature of Rayleigh-Taylor systems with chemical reactions is the competition between turbulent mixing and the "burning processes", which leads to a highly non-trivial dynamics. We studied the problem performing high resolution numerical simulations of a 2d system, using a thermal lattice Boltzmann (LB) model. We spanned the various regimes emerging at changing the relative chemical/turbulent time scales, from slow to fast reaction; in the former case we found numerical evidence of an enhancement of the front propagation speed (with respect to the laminar case), providing a phenomenological argument to explain the observed behaviour. When the reaction is very fast, instead, the formation of sharp fronts separating patches of pure phases, leads to an increase of intermittency in the small scale statistics of the temperature field.
Obesity, Anxiety and Psychological Distress: A Case Study

Problem of over weight is a serious issue in developing and developed countries where awareness of health among people is high. It seems to be the heritage of modernization of society with all its features of unhealthy food and faulty dietary habits, increased stress, and less physical activity. Weight increase is measured by Body Mass Index (BMI). The major purpose of the research was to examine the factors which are source of obesity. Environmental issues that cause obesity are on-job eating habits, taking junk foods in shopping or in travelling, household issues etc; while eating habits that cause obesity are frequent craving, binge eating, emotional eating, lack of awareness of hunger etc. This study investigated the association between obesity and psychological distress; and also checked the prevalence of psychological distress in obese people. A field survey was conducted from air force officers on air base. As the target sample was those air force officers who feel psychological distress, so a cluster of sample was selected and purposive sampling technique was applied. Based on a sample of 187 respondents, data was analyzed by using simple percentages, linear regression, correlation and t-test. This study
First in situ X-ray identification of coesite and retrograde quartz on a glass thin section of an ultrahigh-pressure metamorphic rock and their crystal structure details

Abstract To ensure the presence of coesite and its transformed polymorph, quartz, in ultrahigh-pressure (UHP) rocks and to examine the relic of the phase transformation, crystal structures were analyzed by single-crystal X-ray diffraction (XRD) directly using the rock thin section mounted on a slide glass. The rock sample used is a coesite-bearing eclogite from the Sulu UHP terrain, eastern China. The crystal structures were determined successfully by this new method and the presence of coesite and quartz in UHP rocks was identified for the first time by XRD. The R-factor [R(F)] converged to 0.046 for coesite and 0.087 for quartz. The displacement ellipsoids for coesite and quartz are larger than those previously reported for these two phases, which is consistent with expected effects of trapped strain due to the phase transformation from coesite to quartz during exhumation from the Earth.s mantle. This paper is the first report of single-crystal XRD of a rock thin section on a glass slide and establishes the technique, and provides proof-of-concept of the method. Although the mineral species included in a thin section can often be identified by other methods, such as Raman spectroscopy, an advantage of the reported method is that it can be applied to any mineral in a thin section, and not just to the UHP minerals. Moreover, it is applicable to an unknown or new mineral in a thin section, discarding the spots of known minerals and constructing a lattice from the residual spots to find the structure of the unknown phase.
Strategic Disclosure of Demand Information by Duopolists: Theory and Experiment

We study the strategic disclosure of demand information and product-market strategies of duopolists. In a setting where firms may fail to receive information, we show that firms selectively disclose information in equilibrium in order to influence their competitors product-market strategy. Subsequently, we analyze the firms behavior in a laboratory experiment. We find that subjects often use selective disclosure strategies, and this finding appears to be robust to changes in the information structure, the mode of competition, and the degree of product differentiation. Moreover, subjects in our experiment display product-market conduct that is largely consistent with theoretical predictions.
Interaction of Poly ( A ) Polymerase with the 25-kDa Subunit of Cleavage Factor I

nals (NLS1 and NLS2), and a serine/threonine-rich Mammalian poly(A) polymerase (PAP), a key enzyme in the pre-mRNA 3*-end processing reaction, carries the catalytic domain in the N-terminal region, an RNA binding domain, two nuclear localization signals, and a serine/threonine-rich regulatory domain in the C-terminal region. Using LexA-based yeast two-hybrid screening, we identified a cDNA encoding the 25-kDa subunit of cleavage factor I (CFI-25) as a protein that interacts with the C-terminal region of mouse PAP. The glutathione S-transferase pull-down assay and the immunoprecipitation experiment revealed that PAP directly interacts with CFI-25 and that the C-terminal 69 residues of PAP and the N-terminal 60 residues of CFI-25 are sufficient for the interaction between CFI-25 and PAP. Since CFI is known to function in the assembly of the pre-mRNA 3*-processing complex, this interaction may play an important role in the assembly of the processing complex and/or in the regulation of PAP activity within the complex. © 2001 Elsevier Science
Empowerment and Motivation in Subjects with Reduced Medication Adherence and Poor Diabetes Control - A Pilot

Aims: Reduced medication adherence contributes to suboptimal control and poor clinical outcomes. Appropriate interventions improving medication adherence are inadequately established. This pilot-study aimed to increase self-management capabilities in patients with type 2 diabetes with poor glycemic control and reduced medication adherence. Methods: In patients with HbA 1c ≥64 mmol/mol (8.0%), we assessed medication adherence for oral hypoglycemic agents, GLP1 analogues, aspirin, and lipid lowering drugs using proportion of days covered using a prescription register. Medication adherence below 80% (for at least one drug) was found in 61% of patients; these were either offered the intervention or served as controls. Change in HbA 1c at the end of the intervention and after six months, in addition to medication adherence during these 6 months was evaluated. The intervention consisted of 3 individual consultations with focus on medication adherence and self-selected goals using a participatory approach with dialogue tools. Results: A total of 22 patients accepted to participate and 19 completed the intervention, 22 served as controls. Baseline HbA1c in participants was 70.3 ±8 mmol/mol (8.6%) compared to 71.5 ±13 mmol/ mol (8.7%) in controls (p=0.71). For participants the median decline in HbA1c was 2 (IQR -1 to 3) mmol/mol (0.2%) during the study compared to an increase of 2.5 (-2 to 4.5) mmol/mol (0.2%) (p=0.047) in controls. Improvement in HbA1c was achieved in 68% of participants and 35% of controls (p=0.04). No significant difference in medication adherence (p=0.60) was found. Conclusion: In our pilot study HbA 1c improved, but not medication adherence. Concordant with the patients’ own goals primarily focused on improving glycaemia.
Levenberg-Marquardt Method Based Iterative Square Root Cubature Kalman Filter and its Applications to Maneuvering Re-entry Target Tracking

Abstract Levenberg-Marquardt (abbr.L-M) method based iterative square root cubature Kalman filter (abbr. ISRCKFLM) inherits the numerical stability of square root Cubature Kalman filter and effectively suppresses the influence of the larger initial estimation error and the nonlinearity of the measurement equation on the state estimation in the nonlinear state estimation due to obtaining the optimal state and variance estimates using the latest measurement through L-M method. We apply the ISRCKFLM algorithm to the state estimation of maneuvering re-entry target tracking, the simulation results demonstrate that the ISRCKFLM algorithm has better accuracy of state estimation, comparable to Unscented Kalman filter and square root Cubature Kalman filter, according to estimation error analysis of the position, velocity, drag coefficient, turn coefficient and climbing force coefficient, and has fast convergence rate.
EVALUATING SERVICE QUALITY OF MOBILE APPLICATION STORES : A COMPARISON OF THREE TELECOMMUNICATION COMPANIES IN TAIWAN

The main purpose of this paper is to apply the Lin’s method – modified fuzzy perception-importance (P-I) analysis – to evaluate the service quality of mobile application stores in Taiwan. A comparison of three major telecommunication companies is empirically studied based upon the consumers’ perspective. To facilitate this main issue, we selected thirty-three assessment attributes of service quality in ten dimensions, as based on the literature and characteristics of consumers in Taiwan. Then, the Lin’s modified P-I analysis was applied to evaluate service quality for the selected mobile application stores of three telecommunication companies. Finally, the results of this study show that nine service qualities are valued by all mobile communication users of three telecommunication companies. These service qualities are ‘answers questions rapidly’, ‘sincerity in responses to users’ questions’, ‘the importance of solving users’ problems’, ‘provision of reliable information’, ‘provide the application information required by users’, ‘stable network connection service’, ‘provide precise connection signal’, ‘importance of communication network for users’ and ‘mobile phone devices allow successful transactions’, respectively. Moreover, this study suggested that, if companies intend to promote their business developments, they must continuously improve their service quality to promote customer satisfaction.
Laser Interferometric Displacement Measurements of Multi-Layer Actuators and PZT Ceramics

Abstract This paper deals with the characterization of multi-layer actuators and bulk PZT ceramics under the influence of an applied electric field. The displacement profile of materials and devices with evaporated reflective dielectric layers was measured using a double-beam laser interferometer at room temperature. The displacements of 3 mm thick plates of bulk soft PZT were characterized to determine bulk material properties. The tested multi-layer actuator devices consisted of 20 layers, with each layer being 87 micrometers thick. The results of “point to point scanning” of displacement across piezoelectric materials are presented and the effective actuation area of the actuator displacement is determined. Comparisons are made of the behaviour of the bulk ceramics and the actuator. In addition to experimental measurement, representative coupled-field finite element model was constructed to compare with experimental x−y displacement data of multi-layer actuator.
3D REGISTRATION AND MODELLING FOR FACE RECOGNITION

This paper presents a new approach to automatic 3D face recognition using a model-based approach. This work uses real 3D dense point cloud data acquired with a stereo face scanner. Since the point clouds are in varied orientations, by applying a non-iterative registration technique, we automatically transform each point cloud to a canonical position and detect facial features used for defining the frontal part of face which is to be modelled in next step. Unlike the iterative ICP algorithm, our non-iterative registration process is scale invariant. An efficient B-spline surface-fitting technique is developed to represent 3D faces in a way that allows efficient surface comparison. This is based on a novel knot vector standardisation algorithm to allow one-to-one mapping from the object space to a parameter space. Consequently, correspondence between objects is established based on shape descriptors, which can be used for recognition.
Investigation of DNA repair genes XPD and hOGG1 in type 2 Diabetes mellitus

Increased oxidative stress in type 2 diabetes cause to the accumulation of DNA damage and results diabetic complications. Xeroderma pigmentosum complementation group D (XPD) and human oxoguanine glycosylase 1 (hOGG1) are genes involved in the repair of oxidative DNA damage. In this study, we aimed to evaluate association between XPD Lys751Gln and hOGG1 Ser326Cys polymorphisms with type 2 diabetes mellitus (T2DM) in the Turkish population. Seventy-one T2DM patients and 54 healthy individuals were incorporated into this study. DNA was extracted from whole blood. The Polymerase Chain Reaction (PCR)-Restriction Fragment Length Polymorphism (RFLP) techniques were used. There was statistically significant difference between patient and control groups in the genotype distribution of XPD Lys751Gln polymorphism (p˂0.05). While the Lys/Lys genotype was found significantly higher in control group, the Lys/Gln was higher in patients. (p˂0.05). There was no significant difference between groups in the genotype distribution of hOGG1 Ser326Cys polymorphism. Despite the small number of subjects included in the study, it could be interpreted that the Lys/Gln genotype of XPD Lys751Gln polymorphism may be contributing to the development of diabetes.
Cloud-based architectures for geo-located blogosphere dynamics detection

Social networking data threads emerge rapidly and such crowd-driven big data streams are valuable for detecting trends and opinions. For such analytics, conventional data mining approaches are challenged by both high-dimensionality and scalability concerns. Here, we leverage on the Cloud4Trends framework for collecting and analyzing geo-located microblogging content, partitioned into clusters under cloud-based infrastructures. Different cloud architectures are proposed to offer flexible solutions for geo-located data analytics with emphasis on incremental trend analysis. The proposed architectures are largely based on a set of service modules which facilitate the deployment of the experimentation on cloud infrastructures. Several experimentation remarks are highlighted to showcase the requirements and testing capabilities of different cloud computing settings.
VASCULATURE USING CONFOCAL LASER SCANNING MICROSCOPY

15 Confocal laser scanning microscopy is a useful tool for visualizing neurons and 16 glia in transparent preparations of brain tissue from laboratory animals. Currently, 17 imaging capillaries and venules in transparent brain tissues requires the use of 18 fluorescent proteins. Here, we show that vessels can be imaged by confocal laser 19 scanning microscopy in transparent cortical, hippocampal and cerebellar 20 preparations after clarification of China ink-injected specimens by the Spalteholz’ 21 method. This method may be suitable for global, 3D, quantitative analyses of 22 vessels, including stereological estimations of total volume and length and of 23
Spatial Analysis of Effects of Mowing and Burning on Colony Expansion in Reintroduced Black‐Tailed Prairie Dog (Cynomys ludovicianus)

Factors governing the rate and direction of prairie dog (Cynomys spp.) colony expansion remain poorly understood. However, increased knowledge and ability to control these factors may lead to more effective reintroductions of prairie dogs and restoration of grassland habitats. We present density and directional analyses of the establishment of new burrows on three reintroduced colonies of Black‐tailed prairie dog (Cynomys ludovicianus) in southern New Mexico; the study colonies had been subjected to mow and burn treatments in the second year of the study. Our hypotheses were that prairie dogs will preferentially dig new burrows in the treatment plots versus control plots and that the colonies will expand in the direction of the treatment plots. The results support these hypotheses; analysis of burrow counts by site and treatment shows that prairie dogs preferentially colonized both mow and burn treatments compared to untreated areas at the periphery of the colonies. Directional analysis showed a significant posttreatment orientation of new burrows toward the treatment plots for all colonies. Our results show that the direction of expansion of prairie dog colonies can be manipulated. Effective control of the expansion of prairie dog colonies may lead to more successful reintroductions.