Miracle-dz/UniFAR-FTUs huggingface dataset:
High Efficiency Video Coding

In recent years,with the development of video coding technology and the increasing popularity of high definition(HD)video content,the ISO/IEC Moving Picture Experts Group(MPEG)and the ITU-T Video Coding Experts Group(VCEG)formed the joint collaborative team on video coding(JCV-VC)in 2010which aims to develop the next-generation video coding standard for HD video application,called High Efficiency Video Coding(HEVC). So far the test model HM has been used for performance evaluation and algorithm test.The final international standard of HEVC has been completed and published in the end of 2012based on the working plan of JCV-VC.In this paper,the key technologies about HEVC will be surveyed,specifically including the quad-tree structure of coding unit,prediction unit and transform unit,the advanced motion vector prediction and merging technology,angular intra prediction,DCT-based fractional pixel interpolation filter and context adaptive arithmetic coding etc.Finally the coding performance of some coding tools and complexity of HEVC are analyzed in detail.
Implementation of the Timetable Problem Using Self-assembly of DNA Tiles

DNA self-assembly is a promising paradigm for nanotechnology. Recently, many researches demonstrate that computation by self-assembly of DNA tiles may be scalable. In this paper, we show how the tile self-assembly process can be used for implementing the timetable problem. First the timetable problem can be converted into the graph edge coloring problem with some constraints, then we give the tile self-assembly model by constructing three small systems including nondeterministic assigning system, copy system and detection system to perform the graph edge coloring problem, thus the algorithm is proposed which can be successfully solved the timetable problem with the computation time complexity ofΘ(mn), parallely and at very low cost.
The Behavior of Nontradable Goods Prices in Europe; Evidence and Interpretation

This paper examines the evolution of the relative price between tradable and nontradable goods in a group of European countries. A model of an open economy is used to analyze different factors that can account for an increase in the relative price of nontradable goods. These factors are: (a) faster technological progress in the tradable goods sector; (b) demand shifts toward nontradable goods; and (c) real wage pressures. The relevance of these factors is analyzed empirically for France, Germany, Italy, Spain and the United Kingdom.
Enhanced Glutamatergic Currents at Birth in Shank3 KO Mice

Autism spectrum disorders (ASD) are neurodevelopmental disorders induced by genetic and environmental factors. In our recent studies, we showed that the GABA developmental shifts during delivery and the second postnatal week are abolished in two rodent models of ASD. Maternal treatment around birth with bumetanide restored the GABA developmental sequence and attenuated the autism pathogenesis in offspring. Clinical trials conducted in parallel confirmed the usefulness of bumetanide treatment to attenuate the symptoms in children with ASD. Collectively, these observations suggest that an alteration of the GABA developmental sequence is a hallmark of ASD. Here, we investigated whether similar alterations occur in the Shank3 mouse model of ASD. We report that in CA3 pyramidal neurons, the driving force and inhibitory action of GABA are not different in naïve and Shank3-mutant age-matched animals at birth and during the second postnatal week. In contrast, the frequency of spontaneous excitatory postsynaptic currents is already enhanced at birth and persists through postnatal day 15. Therefore, in CA3 pyramidal neurons of Shank3-mutant mice, glutamatergic but not GABAergic activity is affected at early developmental stages, hence reflecting the heterogeneity of mechanisms underlying the pathogenesis of ASD.
Stabilization Programs and External Enforcement: Experience from the 1920s

Credibility and financing problems are important reasons why countries may seek to involve external institutions in the design and implementation of stabilization programs. In particular, governments may rely on external institutions to ‘enforce’ programs that would otherwise lack credibility. This paper analyzes six European currency stabilizations sponsored by the League of Nations in the 1920s. It emphasizes the means by which the League provided a ‘commitment technology’ and enforced compliance, thereby helping to ensure successful stabilizations. Empirical evidence indicates that countries with greater credibility problems relied more heavily on external enforcement to stabilize their currencies.
An Efficient Method for Similarity Search on Quantitative Transaction Data

The difference of the quantitative transaction data from the common transaction data is that the value of each dimension is quantitative, not binary. The study of the efficient method for similarity search on the quantitative transaction data is very important and challenging. A new function Hsim() is presented to measure the proximity of objects in high dimensional spaces. The function can overcome the shortcoming of L p-norm and other distance functions, and adapt to binary and numerical data. According to the characteristic of the quantitative transaction data, a similarity indexing structure based on Hsim() is constructed, and an algorithm for similarity search on quantitative transaction data is also described. Experiments demonstrate that this method has very good pruning efficiency for similarity search on the quantitative transaction data, so it can greatly speed the similarity search.
Research Progress on Entrepreneurs' Previous Experience, Internal Control and Entrepreneurial Performance

Entrepreneurial activities occupy an irreplaceable position in the process of promoting economic development. Previous studies have found that entrepreneurs as the core strength of entrepreneurial activities, their previous experience has a subtle influence on the entrepreneurial process, but there are still contradictions in the existing research on the relationship between previous experience and entrepreneurial performance, its specific role still needs to be further clarified. From the perspective of risk management, this paper introduces the intermediary variable of internal control, trying to reveal the mechanism of interaction between prior experience, internal control and new venture performance.
Fast Authentication and Data Transfer Scheme for Massive NB-IoT Devices in 3GPP 5G Network

The emergence of narrowband Internet of Things (NB-IoT) has brought hope for the popularization and application of mobile Internet standards. Nowadays, NB-IoT technology has been introduced into the Third Generation Partnership Project (3GPP) standards, where low-overhead, low-data-transmission IoT devices can securely access the fifth generation (5G) core network through the 3GPP access network. However, according to the current 3GPP standard, these NB-IoT devices still employ the traditional authentication process of normal user equipment to implement mutual authentication between NB-IoT devices and 5G core networks, which brings a lot of communication and storage overhead, and it will be more serious when lots of NB-IoT devices are activated simultaneously. In this paper, we propose a fast mutual authentication and data transfer scheme for massive NB-IoT devices, which integrates the access authentication and secure data transmission process and achieves the authentications and data transmissions of a group of NB-IoT devices at the same time. Our scheme can not only greatly simplify the authentication process and alleviate the load of the networks but also ensure robust security protection including user anonymity and nonrepudiation. The performance analysis results show that the proposed scheme can withstand a variety of security attacks with ideal efficiency.
Food recipe application

The proposed project is an Android Application that will provide recipes to the users based on the ingredients available to them. From a list of ingredients, the user has to select the available ingredients and then the application will display a list of recipes which will use the ingredients selected by the user. The user will have filters to select the kind of recipe it wants and then the result can be sorted and filtered according to the user’ needs.
Negotiating Race in a Climate of Islamophobia: How Muslim and Sikh Americans Perceive Discrimination and Construct Racialized Religious Identities

Negotiating Race in a Climate of Islamophobia: How Muslim and Sikh Americans Perceive Discrimination and Construct Racialized Religious Identities by Sharan Kaur Mehta Since 9/11, the dramatic rise in hate crimes against Muslim Americans has garnered increasing concerns about the pervasiveness of Islamophobia in the US and inspired growing scholarship on the racialization of Muslims and those perceived to be Muslim, such as Sikhs. However, significant gaps remain in our understanding of Muslim and Sikh experiences, as crime reports fail to capture the scope of hate incidents and discrimination that represent critical ways in which racism and Islamophobia shape the lived experiences of racialized religious minorities. Here, I examine the ways in which Muslim and Sikh Americans perceive experiences of discrimination, the effects of such experiences on their everyday lives, and how perceived discrimination shapes the construction of racialized religious identities. After conducting 30 interviews with community members (14 Muslim and 16 Sikh) and participant observations at a masjid (mosque) and gurdwara (Sikh place of worship) in Houston, Texas, I find that, in addition to perceived experiences of discrimination, the perceived risk of being discriminated against shapes life “choices” and chances. Further, Muslims and Sikhs’ assertions of their religious identities are shaped not only by direct experiences of discrimination, but also an awareness of the broader socio-political climate which situates their collective identities as under threat. This awareness undergirds a complex negotiation between blending in and standing out that embeds religious and racial meaning into visible and invisible religious symbols. Findings contribute insights into the racialization process by pointing to the critical role of religion for members of these minority traditions when negotiating racialized experiences.
Analisis Efektivitas Dan Tinjauan Audit Syariah Dalam Pelaksanaan Dan Pengawasan Kepatuhan Syariah Pada Bank Syariah

This study aims to analyze the implementation procedures and supervision of Sharia compliance conducted by the Sharia Supervisory Board (DPS) as well as its relationship with the internal role of the bank and the review of sharia audit over the implementation process. The method used in this research is the interview with the PT Bank Syariah Z. From the results of this study found that DPS has an important role in monitoring the implementation and supervision of Shariah compliance conducted with the control of preventive (ex-ante) and curative (ex-post ). There is a risk in the implementation of DPS working procedures where the work of DPS is assisted by the Sharia Compliance Officer who also has a position as an internal bank employee that can reduce the independence of the sharia audit process by DPS. The results of this study have implications on the need for regulators to review and build a system of supervision of sharia where the process of supervision can be more effective by not causing a significant increase in cost so as not to reduce the competitiveness of sharia banking in Indonesia.
Expedition 376 methods

C.E. J. de Ronde, S.E. Humphris, T.W. Höfig, P.A. Brandl, L. Cai, Y. Cai, F. Caratori Tontini, J.R. Deans, A. Farough, J.W. Jamieson, K.P. Kolandaivelu, A. Kutovaya, J.M. Labonté, A.J. Martin, C. Massiot, J.M. McDermott, I.M. McIntosh, T. Nozaki, V.H. Pellizari, A.G. Reyes, S. Roberts, O. Rouxel, L.E. M. Schlicht, J.H. Seo, S.M. Straub, K. Strehlow, K. Takai, D. Tanner, F.J. Tepley III, and C. Zhang2
Design and implementation of a JavaScript Sensor Framework API

NGUYEN CAO THI THANH: Design and implementation of a JavaScript Sensor Framework API Tampere University of technology Master of Science Thesis, 62 pages Month and year of completion: January 2017 Master’s Degree in Information Technology Major: Pervasive System Examiner: Professor Kari Systä
Evaluation of H.264 and H.265 full motion video encoding for small UAS platforms

Of all the steps in the image acquisition and formation pipeline, compression is the only process that degrades image quality. A selected compression algorithm succeeds or fails to provide sufficient quality at the requested compression rate depending on how well the algorithm is suited to the input data. Applying an algorithm designed for one type of data to a different type often results in poor compression performance. This is mostly the case when comparing the performance of H.264, designed for standard definition data, to HEVC (High Efficiency Video Coding), which the Joint Collaborative Team on Video Coding (JCT-VC) designed for high-definition data. This study focuses on evaluating how HEVC compares to H.264 when compressing data from small UAS platforms. To compare the standards directly, we assess two open-source traditional software solutions: x264 and x265. These software-only comparisons allow us to establish a baseline of how much improvement can generally be expected of HEVC over H.264. Then, specific solutions leveraging different types of hardware are selected to understand the limitations of commercial-off-the-shelf (COTS) options. Algorithmically, regardless of the implementation, HEVC is found to provide similar quality video as H.264 at 40% lower data rates for video resolutions greater than 1280x720, roughly 1 Megapixel (MPx). For resolutions less than 1MPx, H.264 is an adequate solution though a small (roughly 20%) compression boost is earned by employing HEVC. New low cost, size, weight, and power (CSWAP) HEVC implementations are being developed and will be ideal for small UAS systems.
An exploration of how Black Swan Trigger Events impact High Growth Small Firms : case studies from the North East of England

The North East of England is a slow growth region which will benefit from the development of more High Growth Small Firms (HGSFs). This research integrates Black Swan Events (Taleb, 2007) and Trigger Point (Brown and Mawson, 2011) theories into Black Swan Trigger Events (BSTEs). BSTEs are unpredictable occurrences that trigger rapid growth in small firms. By exploring the research question “An exploration of how Black Swan Trigger Events (BSTEs) impact High Growth Small Firms (HGSFs)? ” Using case studies based in the North East of England this thesis addresses gaps in HGSF research and increases academic understanding of the process of high growth firms. Adopting a phenomenological approach, evidence from five HGSF case studies is analysed using an adapted soft systems methodology of rich pictures and causal mapping. As each firm experienced BSTEs, it underwent a process of developing the capabilities to deal with the unpredictable occurrences and the opportunities these BSTEs presented. Recruiting appropriate people, exploring and developing markets, identifying strategic opportunities, putting apposite systems in place, innovating and networking and mentoring were all strongly evidenced. The thesis considers this evidence of actions taken and decisions made in the context of the process of knowledge development or capabilities to manage rapid growth post a BSTE. The actions and decisions post the BSTEs, identified from this evidence, were categorised into six distinguishable absorptive capacity domains (ACDs): 1. People; Recruitment and Development, 2. Market; Customers and Sales, 3. Strategy and Entrepreneurial Orientation, 4. Operations and Formal Systems, 5. Innovation; Product and Process, 6. Networking and Mentoring. The thesis provides academic and practical insights into the process of growth experienced by HGSFs as well as recommended policy support for HGSFs. It develops the actions that static firms can take to improve their prospects of becoming an HGSF and a develops a propensity framework for identifying nascent HGSFs.
Factores influyentes en la aceptación de internet of things

Starting from a literature review on the complex reality of Internet of Things (IoT) or Internet de las Cosas, we can conclude that there are numerous works at the theoretical level, but none of research that contrasts what are the main obstacles or incentives to their acceptance by the population. Finding in this lack, an interesting gap for the investigation. Consequently, the purpose of this work is to develop a conceptual model of IoT device acceptance. The proposed model is based on the two most implanted models for the explanation of the attitudes towards technology: Technology Acceptance Model (TAM) and the extension of the Unified Theory of Acceptance and Use of Technology (UTAUT2), but it is complemented by new variables extracted from a critical review of related articles.
(In)effectiveness of quality management systems and models of excellence in practice

This paper presents some tools, used to ensure quality and excellence in organizations. On the way to ensure quality and excellence, which enable efficiency and effectiveness, organizations are assisted by well-known tools, with their common features being discussed. Based on the research, findings on the (non)functioning of these tools are given, with the focus on popular tools, such as ISO 9001, the EFQM model, etc. Results of the survey are used to suggest how to make the quality and excellence tools more useful and direct their usage toward realization of organizational effectiveness.
Intelligent Data Processing Based on Multi-Dimensional Numbered Memory Structures

The Multi-layer Pyramidal Growing Networks (MPGN) are memory structures based on multidimensional numbered information spaces (Markov, 2004), which permit us to create association links (bonds), hierarchically systematizing, and classification the information simultaneously with the input of it into memory. This approach is a successor of the main ideas of Growing Pyramidal Networks (Gladun, 2003), such as hierarchical structuring of memory that allows reflecting the structure of composing instances and gender-species bonds naturally, convenient for performing different operations of associative search. The recognition is based on reduced search in the multi-dimensional information space hierarchies. In this chapter, the authors show the advantages of using the growing numbered memory structuring via MPGN in the field of class association rule mining. The proposed approach was implemented in realization of association rules classifiers and has shown reliable results. Victor Gladun V.M. Glushkov Institute of Cybernetics, Ukraine
The Effect of Introducing Parking Policies on Managing Mobility to Beaches in Touristic Coastal Towns

This article presents a behavioural analysis of tourists visiting a leisure area in the north of Spain to evaluate their reaction when faced with a series of tariffs and alternative transport modes to estimate potential income for reinvestment in sustainable mobility policies. The active involvement of the different groups affected by the changes has led to a series of policies able to generate income for financing a new urban transport service, park and ride installations and their associated vehicles. These changes resulted in a noteworthy improvement in the quality of life of the local residents and an improved, less intense tourist experience.
A Study of Dragon-lab Federal Experiment Cloud and Network Contest

—Through the research and analysis on the contests of the IT organization management mode, operation platform and the trend of Network Contests (NC) development , the paper explores the issue about Dragon-lab federal experiment cloud and network contest environment construction, furthermore, it proposes a comprehensive solution for network contests layered management model based on the cloud computing. The solution has the following novel features: (i) a hierarchical level of contest management model based on cloud computing resources; (ii) design for network framework based on the Dragon-lab federal experimental cloud; (iii) service operation mode in Dragon-lab experiment cloud; (iv) scheduling strategy for the contest management platform. The advantages of scheme lie in: (i) eliminating the limitations of contestants, physical location, match point location and hardware/software resource space in the maximum; (ii) promoting the scheduling and sharing of device resource among the different NC areas; (iii) reducing the NC cost and improving the efficient utilization of the tournament game equipment. Finally, the solution had been verified, in Dragon-lab experiment cloud, by successfully hosting network skills competition in four NC regional sites.
Segmentation of Remote Sensing Image Using Fuzzy logic for Dynamic Statistical Region Merging Algorithm

Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object. Remote sensing image segmentation is definitely to simplify and/or change the representation of a graphic into something that's more meaningful and better to analyze. Image segmentation is an essential tool in image processing and can serve being an efficient front end to sophisticated algorithms and thereby simplify subsequent processing . It is the process of dividing an image into homogenous and non-overlapping regions, which is an essential step toward higher level image processing such as image analysis ,pattern recognition and automatic image interpretation. This paper presents improved remote sensing image segmentation for dynamic statistical region merging algorithm. The proposed method uses dynamic statistical region merging algorithm by using fuzzy logic in order to automatically select scale value. In previous method the segmentation performance relates closely to the scale but the scale is selected manually which may cause incorrect merging. Thus, to improve the accuracy and correctness dynamic statistical region merging-automatic scale value is used to find the automatic scale values. The performance of the algorithm was measured using the receiver operating characteristics such as accuracy and f-measure. Quantitative analysis suggests that this method can consistently segment remote sensing images with high accuracy and efficiency.