Miracle-dz/UniFAR-FTUs huggingface dataset:
HybridPointing Touch: A Technique to Switch Between Absolute and Relative Pointing on Large Touch Screens

We extend Forlines et al.’s idea of mixed absolute and relative "HybridPointing" to large multitouch displays. In our bimanual "CursorTap" interaction technique, one hand triggers a kinaesthetic relative pointing mode while the other controls a distant cursor similar to a large touchpad. A controlled experiment compares CursorTap to standard absolute touch input, and a "Drag" technique, where all display content may be dragged to the user. Our results show CursorTap is fastest when accessing distant targets and returning to nearby targets, a common usage scenario. Overall, the measured selection times across distances is nearly flat for CursorTap, but linearly increases for the absolute and Drag techniques. As further validation, a second study explores how CursorTap is used in a more open setting. We developed a two-person game to create opportunities to use CursorTap under cooperative and competitive settings. The results demonstrate a willingness to use CursorTap, and reveal situations and input modalities where usage is most likely.
AN INVESTIGATION OF THE USE OF REQUIREMENTS PRIORITISATION IN WEB-BASED INFORMATION SYSTEMS DEVELOPMENT

In less than a decade, the Web has grown from humble text-only interfaces and static documents to now embrace dynamic, large-scale information systems that extend beyond the traditional boundaries of organisations. Academic researchers have accordingly responded so that the literature on Webbased information system (WIS) development is strewn with a multitude of methodologies that all aspire to the same elusive goal: to deliver a WIS that satisfies all cost, time, functionality and quality constraints.
Predicting learning success in online learning environments: Self-regulated learning, prior knowledge and repetition

The emergence of new trends sometimes carries the risk that established, well-proven concepts rooted in other disciplines are not properly integrated into new approaches. As Learning Analytics seems to be evolving into a highly multidisciplinary field, we would like to demonstrate the importance of embedding classic theories and concepts into a Learning Analytics, system-data-driven setting. Our results confirm that classical factors that are operationalized with the help of system-generated data outperform more recent survey-based models. Therefore, we want to stress the point that system-generated data should not be left behind in the quickly evolving field of Learning Analytics.
Contrarian Strategies in Developing Asian Countries: Dogs of the Dow Theory (DoD) versus Puppies of the Dow Theory (PoD)

This paper tries to test the ability of Dogs of the Dow Theory (DoD) and Puppies of the Dow Theory (PoD) to outperform the market returns of the four developing Asian countries from 2000 until 2014. Although empirical findings indicate that these two strategies appear to outperform the individual markets respectively however the results of the t-test do not show them to be statistically significant. This paper further tests the capability of these trading strategies in beating the market return during economic crisis of 2002, 2008 and 2011. Empirical results across these developing Asian countries revealed that in long run, both DoD and PoD portfolios are still applicable despite of mixed performance throughout the economic crisis period. DoD and PoD trading strategies are able to beat the market returns in Malaysia and Thailand during those crises but not in the Chinese share market. In the case of the Indonesian share market, these two strategies outperform the market only during the year 2002 and 2008 crises. Results of the t-test between the abnormal returns of the two strategies appear to be insignificant. This implies that the effectiveness of two strategies remain inconclusive.
STRUCTURE IMPROVEMENT BY USING TAILORING METHOD

Student, Prof., Department of computer engineering, Department of computer engineering, Imperial College of engineering & research, Imperial College of engineering & research, Pune, India Pune, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The www grows rapidly and increases the complexity of web applications and navigation of websites. This paper presents a widespread overview of web mining techniques and methods used for the estimation of reconciling systems to get better website navigation efficiency to enhance the efficiency of web site. The goal of this project is to make adaptive Web sites by developing the site structure to help user access. This technique consists of three steps: preprocessing, classification of page, and site reorganization. In particular, a mathematical programming model is used to enhance the navigation of user on a web while decreasing alterations to its present structure. Especially, two evaluation metrics are defined and used them to judge the performance of enhanced website using real data set. Specifically, the modules that include a Web personalization system is introduced, which gives focus on the Web usage mining. The proposed techniques are achieved superior web navigation very effectively and maintain efficiency and it is more efficient from existing system.
A flow analysis and preemption framework for periodic traffic in an SDN network

Software Defined Networking (SDN) utilises the concept of centralised command and control to significantly improve network manageability. However, this is at the expense of performance, with the controller(s) now being a bottleneck. This paper further develops the authors' concept of using a Preemptive Flow Installation Mechanism (PFIM) to improve SDN performance for periodic traffic by limiting the number of controller look‐ups through predicting when a flow is likely to need a particular rule. Unlike previous work in this area, the paper uses real SDN hardware and a series of experiments containing varying amounts of temporally predictable and random flows, along with a modified version of the POX controller. The work goes on to discuss issues found pairing the controller with hardware, before presenting results that demonstrate that the system can detect majority of temporally periodic flows and preemptively install a flow rule, facilitating the performance comparable to layer two switching speeds. The paper also suggests that the performance of the modified controller is approximately equivalent to the unmodified version when dealing with non‐periodic traffic.
Window scoring X X 0 . 3 ? ? ? ? ? ? ? ?

Current top performing object detectors employ detection proposals to guide the search for objects, thereby avoiding exhaustive sliding window search across images. Despite the popularity and widespread use of detection proposals, it is unclear which trade-offs are made when using them during object detection. We provide an in-depth analysis of twelve proposal methods along with four baselines regarding proposal repeatability, ground truth annotation recall on PASCAL, ImageNet, and MS COCO, and their impact on DPM, R-CNN, and Fast R-CNN detection performance. Our analysis shows that for object detection improving proposal localisation accuracy is as important as improving recall. We introduce a novel metric, the average recall (AR), which rewards both high recall and good localisation and correlates surprisingly well with detection performance. Our findings show common strengths and weaknesses of existing methods, and provide insights and metrics for selecting and tuning proposal methods.
Pre-processing and extraction techniques for vital signs analysis from phonocardiographic-based interferometric fiber-optic sensor

This paper deals with methods for processing signals from an optical interferometer to monitor vital signs (Respiration Rate and Heart Rate). Optical interferometer signals are contaminated by variety of technical and biological artifacts (motion artifacts, hospital/patient-generated noise, etc.). Tested optical sensors are very sensitive, it therefore crucial to reduce such unwanted signals. In this article, a complex application for processing the signals from optical interferometer based on virtual instrumentation was developed. The experiments were conducted on data sensed by optical interferometer using a National Instruments card NI USB-6216 BNC and application in the LabVIEW environment. Frequency selective filters were tested in the experiments. The results obtained by using optical interferometer were statistically compared with the ECG and PCG reference. According to the results, optical interferometers are able to measure both the Respiration and Heart Rate under the given conditions. Unfortunately, the measurement is very difficult to replicate in the hospital environment, which is the primary reason why these methods are not used in clinical practice.
The Tracking & Analysis of Cell Movement with Cell-Derived Active Contours & Generative Graphical Models

There has been a continuous effort (Li et al., 2009; Al-Kofahi and Lassoued, 2010; Al-Kofahi et al., 2011; Ambühl et al., 2012; Meijering, 2012; Maška et al., 2014) to provide tools for large-scale automated analysis of live cell morphology in vitro, as this very important for studying biological development and disease. In this thesis, we outline a set of theoretical and practical tools that we have developed for this purpose. In chapters 1-5 we present a new cell-derived active contour (CDAC) method for cell tracking that achieves higher tracking accuracy using knowledge about cell movements. This knowledge consists of the way cells move by adhering to the substrate and propelling their cell membranes in the direction normal to the edge. This allows use of fast optimal search methods. Our method is designed for phase contrast microscopy, which allows access to a wider variety of experimental data. It can operate under conditions of low illumination. This is important for live-cell imaging as high illumination can damage cells. Additionally, our method demonstrates a higher robustness to noise than many previous methods. We then develop a statistical framework for cell shape analysis. Due to the large dimensionality of the space of cell shapes, we first use a neural network model to extract a small set of relevant features. This allows efficient learning and this makes our method distinct from previous methods (such as kernel density estimation). We then develop a rotation-invariant framework a property that has not been incorporated in previous cell shape model studies and is a limitation of other models to construct a hierarchical Bayesian generative model to learn the distribution of cell shapes. We show that this new property allows, for the first time, deriving features such as elongation or cell asymmetry directly from the data without any prior assumptions. In this work we maintain a close relationship between experiment and theory. The problem of calculation of cell movement indices from experiment is studied and related to theoretical models. We also use theoretical models to validate our morphology analysis framework, showing good statistical agreement with natural cells.
A Primer on Text-Data Analysis

Since the invention of the printing press, text has been the predominate mode for collecting, storing and disseminating a vast, rich range of information. With the unprecedented increase of electronic storage and dissemination, document collections have grown rapidly, increasing the need to manage and analyze this form of data in spite of its unstructured or semistructured form. Text-data analysis (Hearst, 1999) has emerged as an interdisciplinary research area forming a junction of a number of older fields like machine learning, natural language processing, and information retrieval (Grobelnik, Mladenic, & Milic-Frayling, 2000). It is sometimes viewed as an adapted form of a very similar research field that has also emerged recently, namely, data mining, which focuses primarily on structured data mostly represented in relational tables or multidimensional cubes. This article provides an overview of the various research directions in text-data analysis. After the “Introduction,” the “Background” section provides a description of a ubiquitous text-data representation model along with preprocessing steps employed for achieving better text-data representations and applications. The focal section, “Text-Data Analysis,” presents a detailed treatment of various text-data analysis subprocesses such as information extraction, information retrieval and information filtering, document clustering and document categorization. The article closes with a “Future Trends” section followed by a “Conclusion” section.
The Intercultural Adjustment of Pakistani Students at Chinese Universities

With the emergence of Higher Education Commission (HEC) of Pakistan after 2000, a large number of Pakistani students going abroad for studies and facing various issues and hurdles of cultural adaptability. A dramatic increase has been observed in the number of Pakistani students going to China. In this backdrop, we examine the intercultural adaptability of Pakistani students studying in China. For that purpose, a qualitative study was done on 15 Pakistani students studying in Huazhong University of Science and Technology, P. R. China to evaluate the effective strategies that enhance the intercultural adjustment and their perceptions of intercultural adaptability. For in depth analysis, the questionnaire was designed to ask different questions from the respondents. The author personally visits the respondents and asked the questions included in the questionnaire. The responses of the respondents were being recorded. The study examined five main themes (Educational Experience in China, Social and Cultural Experience in China, Friendship with Chinese Students, Life Satisfaction in China and Learning Achievement in China) to examine the intercultural adaptability of Pakistani students. The study found that Pakistani students are much satisfied from their educational experience and learning achievements. Further, they are also satisfied from the life spending in china as they didn’t feel any threat, risk or any other danger. Regarding the social and culture experience of China, the Pakistani students seems highly satisfied.
Proposal for improved financial statements under IFRS

Abstract The benefits that users gain from financial statements depend on clear and concise presentation of the underlying economics. The current IFRS regulation on presentation of primary financial statements suffers from several flaws. This paper identifies and analyzes these flaws using illustrative examples from large accounting firms. Based on this discussion we present a set of alternative financial statements. The paper concludes with proposed modifications of the current financial statements under IFRS.
Bias, robustness and scalability in differential expression analysis of single-cell RNA-seq data

Background As single-cell RNA-seq (scRNA-seq) is becoming increasingly common, the amount of publicly available data grows rapidly, generating a useful resource for computational method development and extension of published results. Although processed data matrices are typically made available in public repositories, the procedure to obtain these varies widely between data sets, which may complicate reuse and cross-data set comparison. Moreover, while many statistical methods for performing differential expression analysis of scRNA-seq data are becoming available, their relative merits and the performance compared to methods developed for bulk RNA-seq data are not sufficiently well understood. Results We present conquer, a collection of consistently processed, analysis-ready public single-cell RNA-seq data sets. Each data set has count and transcripts per million (TPM) estimates for genes and transcripts, as well as quality control and exploratory analysis reports. We use a subset of the data sets available in conquer to perform an extensive evaluation of the performance and characteristics of statistical methods for differential gene expression analysis, evaluating a total of 30 statistical approaches on both experimental and simulated scRNA-seq data. Conclusions Considerable differences are found between the methods in terms of the number and characteristics of the genes that are called differentially expressed. Pre-filtering of lowly expressed genes can have important effects on the results, particularly for some of the methods originally developed for analysis of bulk RNA-seq data. Generally, however, methods developed for bulk RNA-seq analysis do not perform notably worse than those developed specifically for scRNA-seq.
Effects of Quality and Quantity of Information Processing on Design Coordination Performance

It is acknowledged that lacking of interdisciplinary communication amongst designers can result in poor coordination performance in building design. Viewing communication as information processing activity, this paper aims to explore the relationship between interdisciplinary information processing (IP) and design coordination performance. Both amount and quality are concerned regarding information processing. 698 project based samples are collected by questionnaire survey from design institutes in mainland China. Statistical data analysis shows that the relationship between information processing amount and design coordination performance follows a nonlinear exponential expression: performance = 3.691 (1-0.235IP amount) rather than reverted U curve. It implies that design period is too short to allow information overload. It indicates that the main problem in interdisciplinary communication in design institute in China is insufficient information. In additional, it is found the correlation between IP quality and coordination process performance is much stronger than that between IP amount and coordination process performance. For practitioners, it reminds design mangers to pay more attention to information processing quality rather than amount.
Empowering People: How?

Few would deny that there is increasing disillusionment with democracy as practised today in Pakistan. The experience with dictatorships has been equally disenchanting. Since both dictatorships and elected governments have failed, a common refrain these days is the need to empower people through democratisation, decentralisation and opening up of new avenues for participation in politics to enable them to change their own destinies.
Name, Residence, Vote and Occupation for the 1852 and 1857 Sheffield General Elections

The research project set out in 1985 to investigate the claim made by Martin J. Wiener in English culture and the decline of the industrial spirit: 1850-1980 (Cambridge University Press, 1982) that Tory political support was inimical to the growth of industrial capitalism. An ancillary aim of the project was to explore the political allegiance of the membership of the Sheffield Club. In order to achieve both of these aims information from the poll books for the 1852 and 1857 Sheffield elections were entered into a database and then linked to occupational data from local commercial directories.
Penerapan Pola Perancangan dan Pengukuran Kualitas pada Sistem Informasi Akademik: Studi Kasus Modul Ekuivalensi

Sistem informasi akademik adalah sistem yang digunakan suatu institusi pendidikan untuk menjalankan seluruh proses bisnis utama dari kegiatan pendidikan. Dalam penerapan sistem informasi akademik, kualitas perlu diperhatikan agar sistem memiliki kinerja yang baik. Kualitas perangkat lunak memiliki beberapa standar internasional pengukuran yang akan menentukan sejauh mana sebuah sistem memenuhi kebutuhan yang telah ditentukan oleh semua pemangku kepentingan. Pada sistem informasi akademik, kualitas dapat dipengaruhi oleh pola perancangan yang diimplementasikan oleh pengembang. Untuk membuktikan pengaruh pola perancangan terhadap kualitas perangkat lunak, maka akan dilakukan perubahan pola perancangan pada sistem informasi akademik. Modul yang dipilih untuk perubahan pola perancangan adalah modul Ekuivalensi. Setelah perubahan pola perancangan, kualitas modul Ekuivalensi pada sistem informasi akademik akan diukur kembali dan dibandingkan dengan kualitas awal. Hasil yang diharapkan adalah berubahnya kualitas modul Ekuivalensi pada sistem informasi akademik. ==========================================================================Academic information system is a system used by an educational institution to run all major business processes of educational activities. In the application of Academic Information System, quality needs to be considered for the system to has a good performance. Software quality has several international measurement standards that will determine the extent to which a system meets the needs set by all stakeholders. In academic information system, quality can be influenced by the design pattern implemented by the developer. To prove the influence of design pattern to software quality, design pattern will be changed on academic information system. The module chosen for the design pattern change and quality measurement is the Equivalence module. After changing the design pattern, the quality of Equivalence module on academic information system will be measured again and compared with the initial quality. The expected result is the change of quality of Equivalence module in academic information system.
A Rethinking of Upward Mobility Among Educated Women in the Public Sector in Rwanda

A Rwandan saying literally articulates that the optimal development of a woman is vital to the development of the family. However, in Rwanda, women remain disadvantaged in terms of participation in top job hierarchies. This study explored upward mobility among educated women in the Public Sector in Rwanda. The study established that women’s lack confidence to compete for higher-level positions is the main cause of gender discrepancies in top-level positions (89.7%). Women rush to get married instead of going for higher Degrees (Master’s and PhD) (79.4%) and fewer women complete Bachelor’s Degree while the higher Degree is the screening device to access top-level positions (81%). The Main implications of this gender disparity are unequal distribution of income (95.6%) and low salary for women (75%). It was concluded that gender disparity in qualifications in top-level positions in Rwanda’s Public Sector deserves serious consideration to be alleviated.
Infrastructure-independent Navigation System Using Embedded Map and Built-in Sensors in the Ubiquitous Parking Management

Significant advancements in technology enhanced the reliability of navigation systems that are in use today. The GPS is the most widely used technique for satellite-based location estimation. However, systems based on GPS can only be accurate in providing location data when there is a clear view of the satellites. This paper proposes a self-contained navigation system that does not depend on any tracking infrastructure. Using the built-in sensors of a smartphone and a self-contained map, we implemented an accurate car locator. Evaluation results show that our proposed system outperforms GPS in providing accurate car location assistance.