Miracle-dz/UniFAR-FTUs huggingface dataset:
Generating XML/GML Schemas from Geographic Conceptual Schemas

A large volume of data with complex structures is currently represented in GML (Geography Markup Language) for storing and exchanging geographic information. As the size and complexity of such documents and their schemas grow, techniques and rules for designing and creating such documents become indispensable. This paper introduces a method for mapping geographic conceptual specifications (defined in OMT-G) to GML Schema. Our method avoids semantic or structural losses and provides redundancy-free data. It also reduces the use of integrity constraints and improves the nesting of XML elements in the resulting schema. We have implemented the method in order to automate the process of obtaining the target schema from the original geographic model. Experimental results show that spatial and non-spatial queries over the GML documents created from schemas generated using our method are more efficient than on documents created with a traditional, direct mapping process.
Comparative Study on Finite Element Analysis & System Model Extraction for Non-Resonant 3-DoF Microgyroscope

This paper reports a comparative study of full transient start up analysis of a Non-Resonant Micromachined Gyroscope using Finite Element Analysis (FEA) and System Model Extraction (SME) techniques. FEA is a popular numerical technique based on Finite Element Method (FEM) for carrying out different engineering analyses. But one of the major disadvantages of this FEA is its computational time. While running multiple optimization analyses with a FE Solver, it may take days, weeks and possibly months depending on extent of optimization. In this study we initially analyzed the MEMS based microgyro on a device level using FEM. We determined the natural frequencies of the gyro along with the both static and dynamic responses of the gyro. After these device level simulations in FEA we switched to the system level simulation. Using SME we generated system model of the gyro with system level components and run a full transient startup response analysis of the device by incorporating that extracted model in INTELLISUITE circuit simulator SYNPLE. When we compared the computational time required by both techniques, we found that SME with SYNPLE is orders of magnitude faster than FEA.
THE EFFECTIVE TEMPERATURES OF HOT STARSP

We review the eeective temperature scale of hot (10kK) stars, including results from direct, continuum and ionization equilibrium techniques. We discuss the impact of recent developments in theoretical model atmospheres for OB subdwarfs, dwarfs and supergiants, white dwarfs and Wolf Rayet stars and present a revised T ee scale for OB stars. Direct techniques coupled with Kurucz model atmospheres allow Strr omgren photome-try to be used as a sensitive T ee indicator for normal stars with T ee 25kK. Reliable T ee determinations for hotter, low surface gravity and H-deecient stars require sophisticated ionization equilibrium techniques, generally considering non-LTE and line-blanketing eeects. 1. Continuum techniques 1.1. DIRECT METHODS The eeective temperature of a star { providing the essential link between observed properties and results of theoretical stellar structure and atmosphere models { can be directly obtained from measurements of its angular diameter together with the total absolute ux at the Earth, integrated over the entire spectrum The prime source in this eld remains the seminal work of Code et al. (1976), who combined angular diameters measured by the Narrabri stellar intensity interferometer with UV, visual and IR observations for 32 hot stars, corrected for interstellar extinction. Smalley & Dworetsky (1995) repeated their analysis using more recent observational and theoretical results, and obtained values on average only one percent lower for stars with T ee 25kK.
Robust Identification of Browser Fingerprint Comparison Using Edit Distance

Web browser fingerprinting is a method currently used to identify a user's device based on the features of the device and a browser. Although this method has been used for Web tracking, its utilization for risk-based authentication or forensics is expected. However, our studies reveal that some features used in fingerprinting undergo short-term changes, which makes continuous device identification difficult. In this paper, we propose a method for identifying features before the change and after the change based on degrees of similarity. Thus, we demonstrate that continuous identification is possible even if the features change. In the datasets that we collected, when using only the information of a plugin list installed in a device, our method identifies whether the same or a different device is used with 97.94% or 97.95% accuracy, respectively.
JobMiner: a real-time system for mining job-related patterns from social media

The various kinds of booming social media not only provide a platform where people can communicate with each other, but also spread useful domain information, such as career and job market information. For example, LinkedIn publishes a large amount of messages either about people who want to seek jobs or companies who want to recruit new members. By collecting information, we can have a better understanding of the job market and provide insights to job-seekers, companies and even decision makers. In this paper, we analyze the job information from the social network point of view. We first collect the job-related information from various social media sources. Then we construct an inter-company job-hopping network, with the vertices denoting companies and the edges denoting flow of personnel between companies. We subsequently employ graphmining techniques to mine influential companies and related company groups based on the job-hopping network model. Demonstration on LinkedIn data shows that our system JobMiner can provide a better understanding of the dynamic processes and a more accurate identification of important entities in the job market.
Florida Master Teacher Program: Testing Teacher Subject Matter Knowledge.

The design and development of subject matter tests for the Florida Master Teacher Program are described. The psychometric qualities of each test and a profile of teachers earning the designation of Associate Master Teacher are presented. Florida's future directions in testing teachers' subject matter knowledge are discussed, particularly through the Raymond B. Stewart Career Achievement Program act of 1986.
Conditional outcomes in plant/herbivore interactions: neighbours matter

Spatial distribution of palatable and unpalatable plants can influence the foraging behaviour of herbivores, thereby changing plant-damage probabilities. Moreover, the immediate proximity to certain plants can benefit other plants that grow below them, where toxicity or spines act as a physical barrier or concealment against herbivores. This paper presents the results of a multi-scale experiment performed to test the effect of shrubs as protectors of tree saplings against herbivores and the mechanism involved in Mediterranean ecosystems. We performed a factorial design in two mountain ranges, similar in physiognomy and vegetation, planting saplings of a palatable tree, the maple (Acer opalus subsp. granatense), and an unpalatable tree, the black pine (Pinus nigra), under three different types of shrubs. We considered four experimental microhabitats: highly palatable shrub (Amelanchier ovalis), palatable but spiny shrub (Crataegus monogyna or Prunus ramburii), unpalatable spiny shrub (Berberis vulgaris subsp. australis) and control (gaps of bare soil without shrubs). Three main factors were found to determine the probability of sapling attack: sapling palatability, experimental microhabitat and plot. Palatable saplings (maples) were browsed much more than unpalatable ones (pines). The degree of protection provided by the shrub proved greater as its palatability decreased with respect to sapling palatability, the unpalatable spiny shrub being the safest microhabitat for palatable saplings and bare soil for unpalatable ones. The differences found in number of attacked saplings between plots may be attributable to differences in herbivore pressure. The community context in which interaction takes place, namely the characteristics of the neighbours and the intensity of herbivore pressure, are determining factors for understanding and predicting the damage undergone by a target plant species. The mechanism that best explains these results is associational avoidance of saplings that grow near to unpalatable shrubs. It is necessary to introduce this neighbour effect in theoretical models and food-web approaches that analyse the plant-herbivore relationships, since it can strongly determine not only the intensity of the interaction, but also the spatial distribution and diversity of the plant community.
Approximating the Regular Graphic TSP in Near Linear Time

We present a randomized approximation algorithm for computing traveling salesperson tours in undirected regular graphs. Given an $n$-vertex, $k$-regular graph, the algorithm computes a tour of length at most $\left(1+\frac{7}{\ln k-O(1)}\right)n$, with high probability, in $O(nk \log k)$ time. This improves upon a recent result by Vishnoi (\cite{Vishnoi12}, FOCS 2012) for the same problem, in terms of both approximation factor, and running time. The key ingredient of our algorithm is a technique that uses edge-coloring algorithms to sample a cycle cover with $O(n/\log k)$ cycles with high probability, in near linear time. Additionally, we also give a deterministic $\frac{3}{2}+O\left(\frac{1}{\sqrt{k}}\right)$ factor approximation algorithm running in time $O(nk)$.
Collaboration awareness in support of collaboration transparency: requirements for the next generation of shared window systems

Shared window systems enable existing applications to be shared in the context of a real-time teleconference. The development and successful use of several such systems, albeit within limited user communities, testifies to the merits of the basic idea. However, experience to date has suggested a number of areas that have not been adequately addressed, namely: spontaneous interactions, shared workspace management, floor control, and annotation and telepointing. This paper focuses on the ramifications, for the software designer, of various user requirements in these areas. While the recommendations that result are motivated by the desire to enable continued use of collaboration-transparent applications, addressing them involves the development of systems software that is distinctly collaboration-aware.
Data Mining - Generation and Visualisation of Decision Trees

A computer system presented in the paper is developed as a data mining tool - it allows to use large databases as source for the process of decision tree generation and visualisation. Designed system (DTB&V - Decision Tree Builder and Visualiser 1 ) is able to perform data preprocessing, generation of decision trees followed by their post processing and visualisation. DTB&V was tested using a number of databases commonly used for such tasks.
A framework for real-time simulation of heavy construction operations

This paper describes a framework of real-time simulation for modeling heavy construction operations. Compared with the traditional offline simulation that uses stationary inputs, the capability of real-time simulation to dynamically incorporate new project data and adapt to changes in the operating environment offers the promise of improving the accuracy of project forecasting. In the proposed real-time simulation framework, dynamic data from construction operations are constantly captured and fed into a process-simulation model for short-term scheduling purposes. A prototype system was developed to demonstrate the structure of the proposed framework and its feasibility. The benefits of this simulation approach and future research requirements for achieving a higher-level modeling automation are also discussed in this paper.
PHOTOEVAPORATION OF PROTOSTELLAR DISKS. II. THE IMPORTANCE OF UV DUST PROPERTIES AND IONIZING FLUX

We study the hydrodynamic evolution of protostellar disks under the influence of a central source of ionizing radiation and its stellar wind. Here we examine the effects of an important contribution to the diffuse radiation field – the scattering of hydrogen-ionizing photons on dust grains (dust scattering). We present and discuss the resulting changes in the evolution of the system under a variety of conditions both with and without dust scattering. An important consequence is the significant increase in the photoevaporation rate. Depending on the scattering coefficient assumed, the presence of dust within the ionized region can increase the density and flow of ionized material and correspondingly shorten the disk’s lifetime by a factor of two or more. In addition, the temperature of the ionized outflowing gas is slightly higher and remains more nearly constant over the extent of the ionized region, even in the regions shadowed from direct stellar radiation. We also investigate the influence of other major parameters of the problem, wind velocity, wind mass loss rate, and stellar ionizing flux, by systematically varying these parameters. Over a large range of values of stellar ionizing flux Sstar we find a power law dependence of the disk mass loss rate due to photoionization Ṁph ∝ S0.58 star which is comparable to analytic estimates. Deviations from this power law occurred for moderate valuesSstar >∼ 1047 s−1 due to our finite disk size and for low valuesSstar <∼ 1045 s−1 due to the resulting non-steady flow pattern. Because we have assumed a warm (T ≈ 104 K) wind and have included heating, cooling, ionization, and recombination processes in the stellar wind, we find that the disk’s photoevaporation rate depends on the assumed wind parameters in a manner which can be explained by the loss of UV ionizing photons very close to the central star.
Preprocessing of imbalanced breast cancer data using feature selection combined with over-sampling technique for classification

Class imbalance problems have been found in many medical data in recent years. Data are imbalanced when the distributions of classes are highly imbalanced that means the number of instances of one class is very different to the other classes. Feature selection combined with over-sampling technique (FOT) is proposed to preprocess data before classifying our dataset, imbalanced breast cancer. We used feature selection techniques, Consistency Subset Evaluation, at the beginning to remove insignificant attributes of data. The remaining attributes were fed into over-sampling phase to adjust instances in the minority class. After preprocessed the dataset, we classified data using three classification algorithms, decision tree, BayesNet, and OneR. The f-values of classification data using FOT are 0.76, 0.638, and 0.64, respectively. These are greater than the f-values of three above classifications without FOT as, 0.561, 0.518, and 0.512, respectively. The experimental results indicated that FOT achieves better f-values than non-FOT preprocessing and have performed well in improving the performance of classifiers on this dataset, especially, decision tree.
Project Control in IT Offshore Outsourcing Projects: From Behaviour Control to Output Control to Good Client-Vendor Relationship

This paper presents a process model of how an IT offshore outsourcing project in a German-Indian context evolved over time. It applies project control theory as the theoretical basis for analysis. The findings from the underlying case study contribute to the domain knowledge of IT project management and IT offshoring by providing insights into the effects of different types of control modes on project outcomes in distinct phases of a successful, long-lasting software reengineering project. The amount and type of control depends on the criticality of the product, as well as the level of mutual trust.
Solving satisfiability problems with membrane algorithms

This paper presents the application of membrane algorithms to satisfiability problems which are well-known NP-hard combinatorial optimization problems. The membrane algorithm, called QEPS, is a combination of P system approaches and quantum-inspired evolutionary algorithms. QEPS employs the hierarchical structure of the compartments of P systems, the objects consisting of quantum-inspired bit individuals, the rules composed of quantum-inspired gate evolutionary rules and transformation/communication-like rules in P systems to specify the membrane algorithms. A large number of experiments carried out on bench satisfiability problems show that QEPS performs better than its counterpart quantum-inspired evolutionary algorithm.
Optimising frequency band selection with forward-addition and backward-elimination algorithms in EEG-based brain-computer interfaces

A major problem in a brain-computer interface (BCI) based on electroencephalogram (EEG) recordings is the varying statistical properties of the signals during inter- or intra-session transfers that often lead to deteriorated BCI performances. A filter bank CSP (FBCSP) algorithm typically uses all the features from all the bands to extract and select robust features. In this paper, we evaluate the performance of four methods for frequency band selection applied to binary motor imagery classification: forward-addition (FA), backward-elimination (BE), the intersection and the union of the FA and BE. These methods automatically select and learn the best discriminative sets of frequency bands, and their corresponding CSP features. The performances of the proposed methods are evaluated on binary motor imagery classification using a publicly available real-world dataset (BCI competition 2008 dataset 2A). It is found that the BE method provides the best improvement resulting in an average classification accuracy increase of the BCI system over the FBCSP algorithm, from 77.06% to 79.09%.
Study and Performance Comparison of AODV & DSR on the basis of Path Loss Propagation Models

Mobile Ad-Hoc networks (MANETs) are collection of mobile nodes that dynamically forming a temporary network without pre-existing network infrastructure and communicate with its neighbors to perform peer to peer communication and transmission. It offers unique benefits and versatility for certain environments and certain applications. Since there is no prerequisite fixed infrastructure and base stations, they can be created and used anytime, anywhere. Propagation models focused on predicting the average received signal strength at a given distance from the transmitter, as well as the variability of the signal strength in close spatial proximity to a particular location. The accuracy of any particular propagation model in any given condition will depend on the suitability among the constraints required by the model and depend on terrain. A number of propagation models like Free Space and Two Ray ground have been exist. In this paper, we present comparative study on the behavior of various routing protocols with path loss propagation models, various performance metrics used for this comparison such as packet delivery fraction, average jitter, throughput and average end to end delay. The studies would be helpful in choosing the correct protocol for any active operating environment.
Treatment of cervical vertebral (C1) metastasis of lung cancer with radiotherapy: A case report

The present study discusses a patient with C1 vertebral metastasis from adenocarcinoma of the left lung. The patient was a 31-year-old female suffering from neck pain who was referred by her physician. Magnetic resonance imaging revealed osteolytic destruction of the C1 vertebra. Chest and computed tomographic scans revealed lung carcinoma changes involving the left lung. A biopsy confirmed adenocarcinoma of the left lung. Abnormal activity was present in the cervical spine (C1) region in a radionuclide bone scan. The patient was then referred to an oncologist. The spine was stabilized with a rigid collar and a course of radiation therapy and pain medication was initiated immediately. At the 9-month follow-up examination, there was no evidence of progression on the MRI scans and the main neck symptoms had disappeared. At present, the overall survival (OS) time is 11 months. Patients complaining of new onset back or neck pain should be assumed to have vertebral metastasis until proven otherwise. Trivial trauma should be taken seriously in these cases and investigated with appropriate clinical, laboratory and imaging examinations.
Fault-Management in MAS

Despite the considerable efforts researching and developing Multi-Agent Systems (MAS) there is a noticeable absence of deployed systems. In the past the MAS research community ignored this problem arguing that it is not a genuine MAS problem and consequently of lesser importance than other unsolved issues like cooperation, coordination, negotiation and communication. However, as the field matures, empirical evaluations of techniques and systems are more commonly used and deployment issues like the management of a MAS become increasingly important. This paper has two aims; firstly it introduces and structures the area of fault-management in MAS by identifying the key issues and providing an overview of the existing approaches from MAS and related areas. Secondly it introduces a generic framework for fault-management in MAS that has been successfully tested in a large scale MAS.
A healing relationship: Clients’ experiences of the long-term relational significance of the horse in horse assisted psychotherapy

Abstract Horse assisted psychotherapy is a type of treatment for mental ill-health in which the client forms a relationship with a horse. Research suggests that the relationship to a horse is very helpful to clients, but how the horse is experienced many years after the end of treatment has not been investigated. The aim of the present study was thus to investigate how former clients from horse assisted psychotherapy experienced the horse several years after treatment was completed. Former clients (n = 5; all females) from one and the same treatment center were interviewed and the data was analyzed with an inductive thematic approach. The analysis showed that many years after completion of treatment, the horses were still remembered as the most important individuals in the informants’ lives during the time of treatment. This was captured by the core category ‘A healing relationship’. These findings are in line with previous research that found that patients in horse assisted psychotherapy and their family members attributed improvements from treatment to the patients’ relationship to the horses, but adds that the clients also keep these views at follow-up several years after termination of treatment.
Predicting the Composer and Style of Jazz Chord Progressions

Jazz music is a genre that consists mainly of improvising over known tunes, represented as a lead sheet. This study addresses the question ‘to what extent does a lead sheet carry information about its composer? ’ Primarily, this study considers chord progressions alone, and secondarily melodic and temporal information combined with various multiple viewpoint models. Using these classifiers, a novel subsequence selection algorithm is presented to trace stylistic similarities within a lead sheet. We conclude that composers can, to a reasonable extent, be recognized from their chord progressions, and that the consideration of melodic and temporal information improves classification accuracy by a small but statistically significant amount.