Miracle-dz/UniFAR-FTUs huggingface dataset:
A Quest for Sustainability of Cultural Heritage Sites: The Hanlar District of Bursa, Turkey

Today, many studies have been carried out to support community engagement in planning and urban design processes in Turkey. This study which tries to bring together community engagement and urban design within the framework of sustainability of cultural heritage sites is a part of a scientific research project which aims to create a participative model to develop an urban design guideline for the Hanlar District, a historical commercial district including many inns in the city centre of Bursa, in Turkey. While a series of community engagement techniques were experimented during the project process, the aim of this article is to examine the potential benefits of using educational charrettes as a kind of design charrette to establish a participatory and competitive platform including public, private, voluntary actors and local people in urban design process of heritage sites. It overviews the charrette use in developing adaptive re-use and urban design schemes for the inns and their surrounding public spaces which are not actively used in the Hanlar District which has been a UNESCO world heritage site since 2014, and then highlights the proposals that were developed in terms of the objectives of the Bursa and Cumalikizik Management Plan. Finally, this study presents the usability, suitability and practicability of educational charrettes as a community engagement way in the urban design process of the heritage sites while enabling different actors to create new visions to sustain heritage sites. However, it also emphasizes the need for a participatory and holistic urban design process for the Hanlar District of Bursa including the adaptive re-use strategies for the inns to sustain the district.
Genetické algoritmy a MPI

Tato prace poskytuje zakladni popis typů Genetických algoritmů, jejich konkretni implementace a použiti. Dale popisuje knihovnu MPI a jeji implementaci v jazyce Csharp. Hlavnim tematem prace je implementace Jednoducheho genetickeho algoritmu a Paralelniho genetickeho algoritmu. Jedna z kapitol je zaměřena na popis teto implementace a možnosti rozsiřeni. V posledni kapitole jsou testovany vlastnosti obou algoritmů a nasledně jsou srovnany pomoci rozmanitých testů.
The Cloud Inside the Network: A Virtualization Approach to Resource Allocation

The access infrastructure to the cloud is usually a major drawback that limits the uptake of cloud services. Attention has turned to rethinking a new architectural deployment of the overall cloud service delivery. In this chapter, the authors argue that it is not sufficient to integrate the cloud domain with the operator’s network domain based on the current models. They envision a full integration of cloud and network, where cloud resources are no longer confined to a data center but are spread throughout the network and owned by the network operator. In such an environment, challenges arise at different levels, such as in resource management, where both cloud and network resources need to be managed in an integrated approach. The authors particularly address the resource allocation problem through joint virtualization of network and cloud resources by studying and comparing an Integer Linear Programming formulation and a heuristic algorithm.
A Constraint Logic Programming Approach to Predicting the Three-Dimensional Yeast Genome

In order for all of a cell’s genetic information to fit inside its nucleus, the chromosomes must undergo extensive folding and organization. Just like in origami where the same piece of paper folded in different ways allows the paper to take on different forms and potential functions, it is possible that different genomic organizations (or architectures) are related to various nuclear functions. Until recently, it has been impossible to comprehensively investigate this relationship due to the lack of high-resolution and high-throughput techniques for identifying genomic architectures. The recent development of a technique called Hi-C, which is a derivation of chromosome conformation capture, has made it possible to detect the complete set of interactions occurring within (intra-interactions) and between (inter-interactions) chromosomes in the nucleus. Many computational methods have been proposed that use these analytical results to infer the rough threedimensional (3D) architecture of the genome. However, the genomic architecture also impacts additional types of nuclear interactions and techniques exist that are able to capture and measure these interactions. Unfortunately, it is difficult to incorporate these additional datasets into the existing tools. To overcome this, a novel application of constraint logic programming (CLP) was used to develop a new program for the prediction of the 3D genomic architecture. The unique representation used in this program lends itself well to the future incorporation of additional genomic datasets. This thesis investigates the most efficient way to date to represent and optimally solve the constraint satisfaction problem of the 3D genome. The developed program was used to predict a 3D logical model of the fission yeast genome and the results were visualized using Cytoscape. This model was then biologically validated through literature search which verified that the prediction was able to recapitulate key documented features of the yeast genome. Future work will utilize this tool as a computational framework and extend it to incorporate additional genomic datasets and information into the prediction and visualization of the 3D genomic architecture. The development of the CLP program described here is a step towards a better understanding of the elusive relationship between the 3D structure of the genome and various nuclear functions.
Pengaruh Exploratory Fitness Education terhadap Konsep Diri

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh dari exploratory fitness education terhadap kontrol diri. Penelitian ini merupakan penelitian eksperimen. Populasi dalam penelitian ini adalah mahasiswa Prodi PJKR FKIP Universitas Galuh Ciamis. Sampel dalam penelitian ini berjumlah 56 orang mahasiswa yang terdiri dari laki-laki 46 orang dan perempuan 10 orang. Instrumen yang digunakan dalam penelitian ini adalah angket yang diadaptasi dari Social Scale Rating System (SSRS) yang dikembangkan oleh Frank M. Gresham Stephen N. Elliott (1990). Penilaian dengan SSRS fokus dalam beberapa area yakni Keterampilan sosial (Social Skills), terdiri dari sub indikator : kerjasama, sikap tegas, tanggung jawab, empati dan kontrol diri. Hasil penelitian menunjukkan bahwa uji paired t test, sig 2 tailed sebesar 0,000 0,05 yang artinya terdapat perbedaan antara sebelum perlakuan dengan setelah perlakuan. Kesimpulan peneilitian diketahui bahwa exlporatory fitness education memliki dampak terhadap nilai kontrol diri pada mahasiswa. Hal ini terjadi karena dalam exlporatory fitness education memberikan kesempatan kepada mahasiswa untuk bisa mengembangkan pengetahuan dan keterampilan yang dimilikinya semaksimal mungkin. Pendekatan pembelajaran yang dilakukan dengan cara berkelompok memberikan kesempatan kepada mahasiswa untuk mengembangkan keterampilan kontrol diri dalam diri mereka.Keyword : exploratory fitness education, kontrol diri AbstractThe purpose of this study was to determine the effect of exploratory fitness education on self control. This research is an experimental research. The population in this study were students of PJKR Study Program FKIP Galuh Ciamis University. The sample in this study amounted to 56 students consisting of 46 men and 10 women. The instrument used in this study was a questionnaire adapted from the Social Scale Rating System (SSRS) developed by Frank M. Gresham Stephen N. Elliott (1990). Assessment with SSRS focuses in several areas, namely Social Skills (Social Skills), consisting of sub-indicators : cooperation, assertiveness, responsibility, empathy and self-control. The results showed that the paired t test, sig 2 tailed was 0,000 0,05 which means that there was a difference between before treatment and after treatment. The conclusion of the study is that exlporatory fitness education has an impact on the value of self-control in students. This happens because in the exlporatory fitness education provides an opportunity for students to be able to develop their knowledge and skills as much as possible. The learning approach carried out in groups provides opportunities for students to develop self-control skills within themselves.
Grasping Climate Vulnerability in Western Mountainous Nepal: Applying Climate Vulnerability Index

ABSTRACT This study examines the relationship among the magnitude of climate vulnerability, location, and altitude of the catchment areas of Sot Khola subwater basin in western mountainous Surkhet, Nepal, by building Climate Vulnerability Index (CVI) and by using clusters based on the primary data sources. A household survey covering adaptive, sensitive, and exposure levels was conducted in 642 households of the catchment areas for the primary data set. The study has built the CVI of Sot Khola subwater basin’s catchment areas, which provides sufficient evidence of heterogeneity in vulnerabilities of households across locations and altitude of the catchment areas. In all clusters, all households are vulnerable at different levels. About 69% households in all clusters are vulnerable, and of them 31% households are highly vulnerable. The lower cluster of the catchment areas (Lekhagaon and Kunathari) are more vulnerable than the upper cluster of the catchment areas (Gadhi), except the lower cluster of Gadhi. Therefore, the altitude and magnitude of climate change vulnerability have negative correlation in case of water-induced disasters. In case of climate change vulnerability, households’ socioeconomic characteristics and magnitude of climate change vulnerability have also negative correlation.
Bigger Phish To Fry: Californias Anti- Phishing Statute And Its Potential Imposition Of Secondary Liability On Internet Service Providers

[1] The incidence of phishing, a form of internet fraud, has increased dramatically since 2003. Identity thieves searching for vulnerabilities in internet security have realized that customers are the weak link. Using mass e-mailings and websites purporting to be those of well-known and trusted corporations, “phishers” trick customers into revealing personal and financial information. Once in the hands of phishers, that
Cupcakes and beefcakes: students’ readings of gender in superhero texts

ABSTRACT Given the growing interest and representation of superheroes in comics and other media, we are interested in the ways young people read superhero texts and how those readings influence their conceptualisations of gender within and outside educational spaces. In this article we explore students’ responses to (re)presentations of gender in superhero texts (which include graphic novels, comic books, films, YouTube, and more), and examine how they reproduce and/or challenge assumptions about gender identity. This ethnographic study focuses on six seventh-graders across a school year in the United States. Our findings suggest that (1) students employ superhero texts as a multimedia resource for inquiring into gender, (2) superhero texts contribute to students’ complex and evolving understandings of gender, and (3) students both critique and reify gender ideologies that are surfaced through their transactions with comics and related media.
Productivity, quality and relationship marketing in service operations

The purpose of this article is to draw the reader’s attention to service productivity and its connection to service quality and eventually to profits. In service operations the customer plays an active role in influencing productivity and quality. Furthermore, contemporary companies are networks, not delimited hierarchies, and the productivity and quality issues affect all members of a network, not just the provider and the customer. This is clear from the new developments in relationship marketing and imaginary (virtual) organizations. In order to assess the financial outcome, the concept of return on relationships is introduced based on the notions of intellectual capital and the balanced scorecard. The article ends with challenging questions as well as recommendations for practising managers.
Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods

Abstract Inflation forecasting is an important but difficult task. Here, we explore advances in machine learning (ML) methods and the availability of new datasets to forecast U.S. inflation. Despite the skepticism in the previous literature, we show that ML models with a large number of covariates are systematically more accurate than the benchmarks. The ML method that deserves more attention is the random forest model, which dominates all other models. Its good performance is due not only to its specific method of variable selection but also the potential nonlinearities between past key macroeconomic variables and inflation. Supplementary materials for this article are available online.
Transformative travel experiences and gender: a double duoethnography approach

ABSTRACT In the realm of transformative tourism research and tourism studies on gender, transformation is considered part of the emancipating and empowering process that women mostly experience through travel. Yet, little is known about the same process from a male or comparative perspective. This paper contributes toward addressing this research gap, adopting a double duoethnography approach aimed at analysing young male and female experiences of transformation through tourism. Through a photo elicitation technique, data was collected from two researchers’ personal experiences with transformative tourism, then analysed for gender-based similarities and differences. Overall, findings suggest that both young female and male tourism experiences of transformation are characterised by becoming mentally stronger and more confident, as well as increasing acceptance of unexpected negative events and challenges arising during the trip. The critical role of liminality is also common for women and men in exploring their identities during tourism experiences. The female process of transformation is marked by bodily feelings and self-consciousness, while the male experience is characterised by flow, adaptation, a sense of community with other travellers. Recommendations for marketers and operators are made to enhance the transformative tourism experience for both women and men.
Approach of detecting LDoS attack based on time window statistic

Through analysised of normal traffic and attack flow,statistic result showed that the normal traffic throughout had an obviously degrade and attack flow had a short time abnormity pulse with higher amplitude.An approach of de-tecting LDoS attack based on time window statistic was presented.Experiments on different length of sample time were conducted in a test environment established on simulation network.Test results show that the detection probability is more than 96%,false negative and false positive are less than 3%.
Persepsi Etis Mahasiswa Akuntansi Atas Perilaku Tidak Etis Akuntan

The research objective was to determine the effect of knowledge of ethics, idealism, relativism and gender on accounting students 'ethical perceptions of accountants' unethical behavior. This research was conducted at the Faculty of Economics and Business, Udayana University. The number of samples used amounted to 94 accounting students with multiple linear regression analysis techniques. Based on the results of the study it was found that knowledge of ethics and idealism negatively affected accounting students' ethical perceptions of accountant's unethical behavior. This shows that the higher the knowledge of ethics and idealism that students have, the more they disagree with the ethical behavior of accountants. Relativism has a positive effect on accounting students 'ethical perceptions of accountants' unethical behavior. This shows that the higher the relativism that students have, the more they agree with the ethical behavior of accountants. Gender has a negative but not significant effect on accounting students 'ethical perceptions of accountants' unethical behavior. This shows that men and women give an attitude of disagreement with accountants' unethical behavior. Keywords: Ethical knowledge, idealism, relativism, gender, ethical perceptions, accounting students, unethical behaviour
Training Neural Networks with Dropout Stochastic Hessian-Free Optimization

Hessian-free (HF) optimization has been successfully used for training deep au-toencoders and recurrent networks. HF uses the conjugate gradient algorithm to construct update directions through curvature-vector products that can be computed on the same order of time as gradients. In this paper we exploit this property and study stochastic HF with small gradient and curvature mini-batches independent of the dataset size for classiﬁcation. We modify Martens’ HF for this setting and integrate dropout, a method for preventing co-adaptation of feature detectors, to guard against overﬁtting. On classiﬁcation tasks, dropout stochastic HF achieves accelerated training and competitive results in comparison with dropout SGD without the need to tune learning rates.
Issues in analysing L4 for its WCET

Real-time analysis of a system requires knowledge of the worst-case execution time of all code in the system. This requirement covers not only application code, but also operating system and kernel code. In this paper we discuss the issues specific to kernel code and how we aim to address these in our work towards analysing the L4 microkernel for the worst-case execution times of all system-call primitives. The main focus in that process is to maximise the degree of automation of the analysis, as the analysis needs to be repeated for any subsequent version of the kernel.
Graph usage in annual reports, evidence from Norwegian listed companies

As investors and other users of annual reports often focus their attention on graphs, it is important that they portray accurate and reliable information. However, previous studies show that graphs often distort information and mislead users. This study analyses graph usage in annual reports from the 52 most traded Norwegian companies. The findings suggest that Norwegian companies commonly use graphs, and that the graph distortions, presentational enhancement and measurement distortion, are present. No evidence of selectivity was found. This study recommends development of guidelines for graphical disclosure, and advises preparers and users of annual reports to be aware of misleading graphs.
Method for Determining the Droop Coefficients of Hybrid Multi-Terminal HVDC Systems to Suppress AC Voltage Fluctuations

Different from voltage-source converter (VSC), reactive power absorption of line-commutated converters (LCCs) changes depending on DC voltage level. Therefore, the amount of AC voltage fluctuations at inverter side are different according to <inline-formula><tex-math notation="LaTeX">$I$</tex-math></inline-formula>–<inline-formula><tex-math notation="LaTeX">$V$</tex-math></inline-formula> droop constants in hybrid multi-terminal high-voltage direct current (MT-HVDC) system. This paper proposes a method for calculating the <inline-formula><tex-math notation="LaTeX">$I$</tex-math></inline-formula>–<inline-formula><tex-math notation="LaTeX">$V$</tex-math></inline-formula> droop constants in a hybrid MT-HVDC system to suppress these AC voltage fluctuations, based on the sensitivity of AC and DC networks. Simulations performed using PSCAD demonstrate the effectiveness of the proposed method.
Performance of Data Mining Tools: A Case Study Based on Classification Algorithms and Datasets

Data mining is the process of extracting data, analyzing it from every possible dimensions or perspectives, and then producing a summary of the information or knowledge extracted in a useful form that identifies relationships or pattern within the dataset of the application domain. The fundamental algorithms and techniques of data mining and analysis form the strong base for the emerging field of data science that comprises of automated methods to analyze models or patterns of the dataset, with applications ranging from scientific discovery to business intelligence and analytics. There are many techniques of data mining some includes classification, clustering, association and prediction. The data mining technique used in this paper is classification in order to compare the data mining tools. In order to analyse the performance of data mining tools, they run on three different dataset which are having different number of attributes and different number of instances. The evaluation criterion used for the evaluation of tool in this paper is classification accuracy. The analysis process is grouped into three test cases so as to compare the performance of data mining tools in various conditions that is by varying the application domain and classification algorithm.
Accuracy improvement of centroid coordinates and particle identification in particle tracking technique

We have applied an algorithm to improve the accuracy of particle identification and centroid coordinates for each particle image in particle tracking technique. The algorithm introduced two techniques; 1) cutting off by each threshold at the peak in the pixel intensity distribution for each image of local area around the particle, and 2) calculation of the centroid based on pixel intensities in the original image of the particle instead of binarized data. The former properly cuts the noise in the background for each particle which has large variety in level particle by particle due to fluctuating illuminations and out-of-focus particles in the image, and the latter avoids the loss of accuracy by the commonly used binarization. We have demonstrated that the algorithm significantly improves the accuracy in deter - mination of centroid coordinates and the correctness in particle identification. We have also validated the advantage of the algorithm in accuracy by applying the algorithm to a sequence of confocal microscopy images of diffusing particles in a polysaccharide solution. This algorithm will be signifi - cantly useful in particle tracking technique for biological systems, especially for fluorescence microscopy observations with considerable obstructive stray fluorescent signals.
European Union membership status and decentralization: A top-down approach

ABSTRACT Despite state resilience and the waning of the ‘Europe of the Regions’, European integration persists in affecting subnational actors. Subnational actors have maintained lobbying offices in Brussels to access European Union institutions while others have continued to organize around regionalist parties in the European Parliament. This study explores whether and how EU membership has influenced decentralization. I argue that states exposed to Europeanization, candidates and members of the EU, decentralize more compared to non-EU states. Quantitative tests using recent data on regional authority and three case studies of France, Poland, and Spain provide support for this argument. This article contributes to the research on Europeanization and multilevel governance by focusing on state-level motivations for decentralization. This study’s findings allude to the need of examining how other facets of European integration affect subnational actors and investigating variations in decentralization between EU member-states.