Miracle-dz/UniFAR-FTUs huggingface dataset:
SEQUAL as a Framework for Understanding and Assessing Quality of Models and Modeling Languages

An important challenge for organizational activity is to effectively represent and transfer knowledge. One reason why humans have excelled as species is our ability to create common stories and represent, reuse and transfer this as knowledge across time and space. Whereas in most areas of human conduct, one-dimensional natural language texts are the main way of expressing and sharing knowledge, we see the need for and use of two and manydimensional forms of knowledge representational to be on the rise. A form of representation which plays an increasingly important role in information systems and enterprise development is conceptual models (Krogstie, Opdahl, & Brinkkemper, 2007), which are diagrams expressed in some (semi-) formal visual language (e.g. nodes interconnected with edges), describing some area of interest. In (Krogstie, 2007), the following vision was stated: “Over time the use of modelling will become an established way of expressing knowledge in all fields of human conduct. Everyone (not only expert ’modelers’) is involved in the process of developing and activating models made in adapted modelling language. ” Examples of models could be organization charts, strategy and goal breakdown structures, business process models, or models of the information to be contained in a database. The quality of a conceptual model will strongly affect decisions based on the model, and can therefore be of vital importance to the stakeholders. According to general model theory (Stachowiak, 1973) there are three common characteristics of models: Representation, Simplification and Pragmatic orientation. • Representation: Models represents something else than the model itself. • Simplification: Models possess a reductive trait in that they represent only a subset of attributes of the phenomenon being modelled. • Pragmatic Orientation: Models have a substitutive function in that they substitute a certain phenomenon as being conceptualized by a certain subject in a given temporal space with a certain intention or operation in mind.
The book of Revelation : Apocalypse and empire

About seventy years after the death of Jesus, John of Patmos sent visionary messages to Christians in seven cities of western Asia Minor. These messages would eventually become part of the New Testament canon, as The Book of Revelation. What was John's message? What was its literary form? Did he write to a persecuted minority or to Christians enjoying the social and material benefits of the Roman Empire? In search of answers to these penetrating questions, Thompson critically examines the language, literature, history, and social setting of the Book of the Apocalypse. Following a discussion of the importance of the genre apocalypse, he closely analyses the form and structure of the Revelation, its narrative and metaphoric unity, the world created through John's visions, and the social conditions of the empire in which John wrote. He offers an unprecedented interpretation of the role of boundaries in Revelation, a reassessment of the reign of the Emperor Domitian, and a view of tribulation that integrates the literary vision of Revelation with the reality of the lives of ordinary people in a Roman province. Throughout his study, Thompson argues that the language of Revelation joins the ordinary to the extra-ordinary, earth to heaven, and local conditions to supra-human processes.
A Framework to Discover Association Rules Using Frequent Pattern Mining

-Mining association rule is one of the key problems in data mining approach. Association rules discover the hidden relationships between various data items. In this paper, we propose a framework for the discovery of association rules using frequent pattern mining. We use preprocessing to transform the transaction dataset into a 2D matrix of 1’s and 0’s. Mining association rule must firstly discover frequent itemsets and then generate strong association rules from the frequent itemsets. The Apriori algorithm is the most well known association rule mining algorithm and is less efficient because they need to scan the database many times and store transaction ID in memory, so time and space overhead is very high. Especially they are less efficient when they process large scale database. Here we propose improved Apriori algorithm by including prune step and hash map data structure. The improved algorithm is more suitable for large scale database. Experimental results shows that computation times are reduced by using the prune step and hash map data structure.
Revisiting the Enclosed Gardens of the Low Countries (Fifteenth Century Onwards). Gender, Textile, and the Intimate Space as Horticulture

Abstract The early sixteenth-century Enclosed Gardens or Horti Conclusi of the Augustinian Hospital Sisters of Mechelen in Belgium, form an exceptional world heritage collection from the late medieval period. Most Enclosed Gardens have been lost to the ravages of time, with this loss exacerbated by lack of both understanding and interest. No fewer than seven Enclosed Gardens, however, were preserved until the late twentieth century in their original context: the small community of Augustinian nuns in Mechelen. Like sleeping beauties, they remained secluded in the sisters’ rooms as aids to devotion. Their centuries-long slumber has recently given way to a new phase of lively debate and active scholarship, as these popular retables are now considered unique testimonies of female spirituality in the sixteenth century. Their remarkable pictorial vernacular provides new insights into life, thought and devotion in female convent communities. They testify to a cultural identity connected with strong mystical traditions; they are a gateway to a lost world, an essential part of the rich material and immaterial culture of the Southern Netherlands in the early sixteenth century
Techniques for Coupled Circuit and Micromechanical Simulation

A machine for simultaneously planing and grooving a workpiece, comprising: a frame, at least one driven roll having planing blades thereon, and a plurality of feed rolls, wherein the driven roll has grooving blades positioned thereon coincident with each of the planing blades to cut a groove in the workpiece to a depth greater than the depth of the planing cut.
Indexing for efficient spatial-similarity query processing in multimedia databases

In multimedia databases, one major class of user queries requires retrieving those database images that are spatially similar to a query image. To rank order the database images with respect to the query, the existing spatial similarity algorithms compute the similarity of every database image with the query. For large multimedia databases, this task is computationally expensive and renders interactive query processing difficult. In this paper, we propose an indexing scheme which will eliminate non-relevant images to a query before the actual similarity computation. In other works, the indexing scheme serves as a filter and spatial similarity computation is done only on those images that pas through the filter. Some non-relevant images may pass through the filter ut the proposed indexing scheme guarantees that no relevant images are eliminated. The indexing scheme is robust in the sense that it recognizes translation, scaling, and rotation variant images of the query image as relevant to the query.
Design of optimized FIR filter using Radix-2r

Finite Impulse Response (FIR) filters are mainly used in the Digital Signal Processing (DSP) applications. The main reason behind implementing FIR filters is because of its high speed and low power requirements. The main complexity of designing FIR filter lies in the multiplier block. There are many techniques by using add and shift operations exclusively through which we can actually design the multiplier block thus reducing the complex structure of multiplier and these type of designs are called multiplier-less. A New Multiple Constant Multiplication algorithm (MCM) called Radix-2rhas merit over existing algorithms for being fully predictable, sub linear, high speed and low power solutions. This paper presents the designing of an FIR filter using radix-2rrecoding technique with ‘r=5’ and a unique Lookup Table for it and also being implemented further. The proposed design gives the better results compared to normal design in terms of adder-cost, adder depth & resource utilization and corresponding trade-off occurs between delay & resource utilization.
An End-to-End Multi-Task and Fusion CNN for Inertial-Based Gait Recognition

People identification using gait information (i.e., the way a person walks) obtained from inertial sensors is a robust approach that can be used in multiple situations where vision-based systems are not applicable. Typically, previous methods use hand-crafted features or deep learning approaches with pre-processed features as input. In contrast, we present a new deep learning-based end-to-end approach that employs raw inertial data as input. By this way, our approach is able to automatically learn the best representations without any constraint introduced by the pre-processed features. Moreover, we study the fusion of information from multiple inertial sensors and multi-task learning from multiple labels per sample. Our proposal is experimentally validated on the challenging dataset OU-ISIR, which is the largest available dataset for gait recognition using inertial information. After conducting an extensive set of experiments to obtain the best hyper-parameters, our approach is able to achieve state-of-the-art results. Specifically, we improve both the identification accuracy (from 83.8% to 94.8%) and the authentication equal-error-rate (from 5.6 to 1.1). Our experimental results suggest that: 1) the use of hand-crafted features is not necessary for this task as deep learning approaches using raw data achieve better results; 2) the fusion of information from multiple sensors allows to improve the results; and, 3) multi-task learning is able to produce a single model that obtains similar or even better results in multiple tasks than the corresponding models trained for a single task.
DMBVA - A COMPRESSION-BASED DISTRIBUTED DATA WAREHOUSE MANAGEMENT IN PARALLEL ENVIRONMENT

Parallel and distributed data warehouse architectures have been evolved to support online queries on massive data in a short time. Unfortunately, the emergence of e-application has been creating extremely high volume of data that reaches to terabyte threshold. The conventional data warehouse management system is costlier in terms of storage space and processing speed and sometimes it is unable to handle such huge amount of data. As a result, there is a crucial need for the new algorithms and techniques to store and manipulate these data. In this paper, we have presented a compression-based distributed data warehouse architecture – ‘DMBVA’ for storage of warehouse data, and support online queries efficiently. We have achieved a factor of 25-30 compression compared to SQL server data warehouse. The main computational component of data warehouse is the generation and querying on the data cube. Our algorithm – ‘PCVDC’ generates data cube directly from the compressed form of data in parallel. The reduction in the size of data cube is a factor of 30-45 compared to existing methods. The response time has also been significantly improved. These improvements are achieved by eliminating the suffix and prefix redundancy, virtual nature of the data cube, direct addressability of compressed form of data and parallel computation. Experimental evaluation shows the improved performance over the existing systems.
Effectiveness of Pharmacy Run Anticoagulation Clinics Compared to Large Clinical Trials of New Oral Anticoagulants

Abstract Purpose: The purpose of the study was to assess the quality of anticoagulation with warfarin in patients with non-valvular AF who were managed exclusively in pharmacy run anticoagulation clinics and to evaluate whether these patients would be expected to have the same efficacy and safety profiles as those patients in the RE-LY, ROCKET AF, and ARISTOTLE trials. Methods: This was a retrospective study of 146 patients in 3 pharmacy run anticoagulation clinics who were initiated on anticoagulation with warfarin therapy to prevent stroke associated with atrial fibrillation. International Normalized Ratio (INR) values were collected over a 1-year period and the quality of management was expressed as time in therapeutic range (TTR) calculated by Rosendaal’s linear interpolation method. Results: Forty-six patients from university internal medicine (UIM) clinic, 9 patients from family medicine (FM) clinic, and 91 patients from pharmacotherapy (PCT) clinic were studied. During the 1-year period, the overall mean TTR was 61.1%. The mean TTR in the UIM clinic, the FM clinic, and the PCT clinic was 60.1%, 62.5%, and 61.5%, respectively. Conclusion: The quality of anticoagulation with warfarin, as assessed by TTR, in the 3 pharmacy run anticoagulation clinics was similar to the mean TTR values reported for the warfarin-treated patients in the RE-LY, ROCKET-AF, and ARISTOTLE trials. The results of these studies are applicable to our patient population.
Effectiveness of Diversification Strategies for Ensuring Financial Sustainability of Construction Companies in the Republic of Korea

Construction companies recognize diversification as a strategy for ensuring financial sustainability. Hence, the aim of this study was to analyze the dynamic relationship between business diversification and business performance of construction companies using the vector error correction model. The expected default frequency, diversification index, domestic construction order, international construction order, gross Domestic Product, Korea composite stock price index, and interest rate were defined as analytical variables. To derive implications for diversification strategies, construction companies were classified into two groups according to the diversification level, and analyzed from the first quarter of 2001 to the fourth quarter of 2017. The results confirm that the dynamic relationship between the diversification strategy and business performance depends on the diversification level of the company. For changes in the markets entered for diversification, construction companies showed different ways of executing the diversification strategy depending on the group; this was partially because of differences in internal and external capabilities of companies, and each company responded differently to market changes. To ensure financial sustainability of a construction company through effective diversification, various conditions must be considered before deciding what impact the diversification strategy could have on the business performance of the company.
Retrieval of high-resolution components by deterministic deconvolution: A field example

Summary A simple deterministic deconvolution is applied to extrapolate high-resolution components of seismic data when some high-resolution data, such as well logs, site survey and VSP records, are also available in part of the area. The idea of this method is discussed with illustrations using synthetic and field examples. The method could potentially be used to generate pseudo log volumes when seismic data volume is available along with well logs, provided that there is an invariant ratio between the wavelets of the two types of data.
Research on the Rate Control Scheme of Networked Control Systems

The Quality of performance of Networked control system (NCS) depends on the quality of network service. To guarantee the limit of quality of network service of NCS, the mechanism of end-to-end rate control is applied to NCS. An novel end-to-end rate control scheme of guaranteeing minimal rate for each control loop of NCS is proposed. This scheme can guarantee to meet the requirements of quality of network service of NCS and show TCP friendly. Finally, the simulation results show that the proposed algorithm is effective.
Evolutionary optimization for hub and spoke network based on demand and operation

This paper proposes the optimization method which extends Priority-based Genetic Algorithm (Pri-GA) to generate the effective feeder route which has hub-spoke and loop type network. In detail, the following extensions are introduced: (1) the route connection base on port demands, and (2) ship size changing based on operation form. To investigate the effectiveness of the proposed methods, this paper applies them into Pri-GA to optimize the Busan centered feeder route using the actual transportation data. The simulation have revealed following indications: (1) the generated routes using proposed methods contribute to reduce the moving and the shipping cost, and (2) our proposed methods contribute to allocate adequate ships with considering the port demands.
Cooperative robot movements for guiding and regrouping people using cost function evaluation

The objective of this research is to optimize robots cooperative work and obtain the minimum displacement of humans in a guiding people mission, where some individuals can escape from the formation and must be regrouped by robots. The guiding mission is done in an urban environment, with obstacles and building constraints, where people can move freely and using multiple mobile robots which work cooperatively. In this paper, the forces that actuate toward robots will be studied, which are the forces between robots and humans and the forces between humans. Our goal is to find out the minimum work required for robots to lead and regroup people. We have developed a cost function that minimizes the work required in order to do this cooperative task.
Image Denoising using spatial filters and Image Transforms: A Review

: An image is a two-dimensional function with a collection of information and is degraded due to the occurrence of noises during image acquisition process, transmission & reception, storage & retrieval processes of the image results in degradation in the visual quality of an image. So the information associated with an image tends to lose or damage. It must be crucial to repair the photograph from noises for obtaining most data from a picture. Picture denoising is a vital pre-processing venture earlier than in addition processing of image like segmentation, feature extraction, texture analysis and so on. The reason of denoising is to get rid of the noise even as retaining the edges and different exact functions as lots as feasible. In this paper, we can see how different types of noise will affect the quality of the images and the information in images. As a remedy, the pleasant and the facts from the noised picture may be retrieved by the use of exclusive styles of filters. On this work gaussian noise, impulsive noise, speckle noise, and poisson noise are being considered and it is able to be decreased using a Gaussian filter, Wiener filter, Mean filter and median filter. The Transforms like wavelets, Contourlet, and curvelet that play the major role in image denoising are also presented. The experimental end result shows the performance of various varieties of filters and transforms to denoise the noised pictures from exclusive sorts of noises.
Overweight and obesity and lifestyle of urban adolescent school children of eastern state of India

Background: There is reduction of childhood under nutrition and at the same time a gradual increase in childhood obesity especially urban area is seen due to rapid urbanization, economic and food transition and changes in lifestyle. On this backdrop present study is taken up to find out the prevalence of overweight and obesity among adolescent school children of urban Sambalpur and its association with lifestyle behavior. Methods: A comparative, cross-sectional study was conducted from December 2016 to April 2017 among 600 children of class VI to X of two government and two private schools. Thirty students were chosen in each class using systematic sampling method. Pre-designed and pre-tested questionnaire was used to elicit the information on demographic variables and lifestyle behavior’s. The risk factors were assessed by using the Chi-square test. For all the statistical tests, a pvalue of<0.05 was considered as statistically significant. Results: Prevalence of overweight and obesity were 8.9% and 3.4% respectively. Obesity was found more among girls (3.8%) and more children from private school were obese. Association of fast food, physical inactivity with obesity was significant. Conclusions: Overall combined prevalence of childhood overweight and obesity was 12.3 per cent. Percentage of overweight and obese children studying in private schools was more as compared to government school children. School health program should incorporate health education of teachers, students, parents and a convergence of education and health sector can reduce the modifiable lifestyle behavior’s.
Introduction to Business Statistics: A Microsoft Excel Integrated Approach

As with earlier editions, this text fully integrates the use of computers with statistics. This edition has retained the non-intimidating approach to describing the concepts and applications of statistics while giving students the opportunity to observe and actually carry out computer-generated solutions using statistics packages like SPSS and MINITAB, or a spreadsheet package like Excel. The text has also been designed so that those requiring a more traditional calculator-based approach will find an abundance of exercises and examples that can be solved in that manner. A CD-ROM presenting data sets and special Excel macros that Robert Pavur and Kellie Keeling have created will be bound into the back of the book.
How Similar Are Two Elections?

We introduce the ELECTION ISOMORPHISM problem and a family of its approximate variants, which we refer to as dISOMORPHISM DISTANCE (d-ID) problems (where d is a metric between preference orders). We show that ELECTION ISOMORPHISM is polynomial-time solvable, and that the d-ISOMORPHISM DISTANCE problems generalize various classic rank-aggregation methods (e.g., those of Kemeny and Litvak). We establish the complexity of our problems (including their inapproximability) and provide initial experiments regarding the ability to solve them in practice.
Killing Two Birds with One Stone: An Empirical Report of Improvement in Reading Rate and Comprehension by Timed Reading in EFL Learners

This study investigates whether EFL learners can improve their reading rates and comprehension by timed reading. The results showed a significant improvement (an increase) in reading rate in the slow readers and in comprehension in the fast readers as well as slow readers, indicating that timed reading followed by a comprehension test was beneficial for second and foreign language readers in improving their comprehension as well as reading rates.