Miracle-dz/UniFAR-FTUs huggingface dataset:
The final TimeWarp: using form and content to support player experience and presence when designing location-aware mobile augmented reality games

Designing Augmented Reality location aware games requires an understanding of how form and content issues impact on presence. A study of 60 players was conducted using questionnaires, video analysis and interviews. The results indicate that content including: moral dilemmas, strong narratives, using real locations effectively and applying simple physical behavior within virtual characters to improve embodiment have a positive impact on player experience. The results are presented in the form of guidelines.
Overexpression of myocardin induces partial transdifferentiation of human‐induced pluripotent stem cell‐derived mesenchymal stem cells into cardiomyocytes

Mesenchymal stem cells (MSCs) derived from human‐induced pluripotent stem cells (iPSCs) show superior proliferative capacity and therapeutic potential than those derived from bone marrow (BM). Ectopic expression of myocardin further improved the therapeutic potential of BM‐MSCs in a mouse model of myocardial infarction. The aim was of this study was to assess whether forced myocardin expression in iPSC‐MSCs could further enhance their transdifferentiation to cardiomyocytes and improve their electrophysiological properties for cardiac regeneration. Myocardin was overexpressed in iPSC‐MSCs using viral vectors (adenovirus or lentivirus). The expression of smooth muscle cell and cardiomyocyte markers, and ion channel genes was examined by reverse transcription‐polymerase chain reaction (RT‐PCR), immunofluorescence staining and patch clamp. The conduction velocity of the neonatal rat ventricular cardiomyocytes cocultured with iPSC‐MSC monolayer was measured by multielectrode arrays recording plate. Myocardin induced the expression of α‐MHC, GATA4, α‐actinin, cardiac MHC, MYH11, calponin, and SM α‐actin, but not cTnT, β‐MHC, and MLC2v in iPSC‐MSCs. Overexpression of myocardin in iPSC‐MSC enhanced the expression of SCN9A and CACNA1C, but reduced that of KCa3.1 and Kir2.2 in iPSC‐MSCs. Moreover, BKCa, IKir, ICl, Ito and INa.TTX were detected in iPSC‐MSC with myocardin overexpression; while only BKCa, IKir, ICl, IKDR, and IKCa were noted in iPSC‐MSC transfected with green florescence protein. Furthermore, the conduction velocity of iPSC‐MSC was significantly increased after myocardin overexpression. Overexpression of myocardin in iPSC‐MSCs resulted in partial transdifferentiation into cardiomyocytes phenotype and improved the electrical conduction during integration with mature cardiomyocytes.
Image Browsers: Taxonomy, Guidelines, and Informal Specifications

When two-dimensional browsing is needed in paint or draw programs, geographic information systems, medical image systems, or advanced window managers, designers have merely used two one-dimensional scroll bars or they have made ad hoc designs for a two-dimensional scroll bar. However, the complexity of two-dimensional and higher dimensional browsing suggests that more careful analysis, design, and evaluation might lead to significant improvements.
Investigating the use of lexical information for software system clustering

Developers have a lot of freedom in writing comments as well as in choosing identifiers and method names. These are intentional in nature and provide a different relevance of information to understand what a software system implements, and in particular the role of each source file. In this paper we investigate the effectiveness of exploiting lexical information for software system clustering. In particular we explore the contribution of the combined use of six different dictionaries, corresponding to the six parts of the source code where programmers introduce lexical information, namely: class, attribute, method and parameter names, comments, and source code statements. Their relevance has been weighted by means of a probabilistic model, whose parameters have been estimated by the Expectation-Maximization algorithm. To group source files accordingly we used a hierarchical clustering algorithm. The investigation has been conducted on a dataset of 13 open source Java software systems.
Type P63 Non-counter Stained Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis

In comparison to existing electronic scanners biopsy slides analysis using microscopes is considered as most viable approach in the pathology laboratory to perform routine examination and to determine the actual condition of human ovarian reproductive tissues. An expert needs longer processing time during manual microscopic analysis and there is inconsistent result among experts. A suitable computerized approach may be a more viable option to overcome the issues associated with manual approach. In this paper different types of images acquired from different biopsy slides were incorporated for a comprehensive review and analysis purpose. A new modified approach has been presented in this study which can reduce processing time and indicates improved accuracy. Comparative results indicate that type P63 non-counter stained performs better identification result.
Client/Server and Peer-to-Peer hybrid architecture for adaptive video streaming

Adaptive video streaming over HTTP (DASH) is a recent technology adopted as the choice for delivering videos to smart phones, TV's, portable data units. Therefore, many services providers tend to adopt it as the basis for their services. In this paper, we focus on the problem of the typical behaviour of DASH, which runs over Client/Server network architecture causing limitations in its performance in regards to the growing recent streaming technologies. Our main objective is to extend DASH implementation towards hybrid architecture between C/S and P2P communication models to guarantee the availability of the video service even in case of server saturation. In a virtualization environment, we tested our approach and the preliminary results that we obtained confirm the efficiency of the proposed idea for streaming videos in term of delay and video quality.
WalkieLokie: Relative Positioning for Augmented Reality Using a Dummy Acoustic Speaker

We propose and implement a novel relative positioning system, WalkieLokie, to enable more kinds of Augmented Reality applications, e.g., virtual shopping guide, virtual business card sharing. WalkieLokie calculates the distance and direction between an inquiring user and the corresponding target. It only requires a dummy speaker binding to the target and broadcasting inaudible acoustic signals. Then the user walking around can obtain the position using a smart device. The key insight is that when a user walks, the distance between the smart device and the speaker changes; and the pattern of displacement (variance of distance) corresponds to the relative position. We use a second-order phase locked loop to track the displacement and further estimate the position. To enhance the accuracy and robustness of our strategy, we propose a synchronization mechanism to synthesize all estimation results from different timeslots. We show that the mean error of ranging and direction estimation is 0.63m and 2.46 degrees respectively, which is accurate even in case of virtual business card sharing. Furthermore, in the shopping mall where the environment is quite severe, we still achieve high accuracy of positioning one dummy speaker, and the mean position error is 1.28m.
Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition Systems

In this paper, we motivate and define the domain adaptation challenge task for speaker recognition. Using an i-vector system trained only on out-of-domain data as a starting point, we propose a framework that utilizes large-scale clustering algorithms and unlabeled in-domain data to adapt the system for evaluation. In presenting the results and analyses of an empirical exploration of this problem, our initial findings suggest that, while perfect clustering yields the best results, imperfect clustering can still provide recognition performance within 15% of the optimal. We further present a system that achieves recognition performance comparable to one that is provided all knowledge of the domain mismatch, and lastly, we outline throughout this paper some of the many directions for future work that this new task provides.
Information set based approach for salient object detection

Human attention tends to get focused on the most prominent components of a scene which are in sharp contrast with the background. These are termed as salient regions. Saliency is defined in terms of local and global feature contrasts. The human brain perceives an object of salient type based on its difference with the surroundings in terms of color and texture. There have been many color based approaches in the past for salient object detection. In this paper, we define the uncertainty of a window being salient or background in terms of information extracted from different color components. The uncertainty associated with the elements of a fuzzy set is described by a membership function, which gives the degree of association of each element to the set. The overall uncertainty is sought to be quantified by an entropy function. To locate the salient parts of the image, we make use of the entropy to compute a new set of features from color and luminance components of the image. Extensive comparisons with the state-of-the-art methods in terms of precision, recall and F-Measure are made on a publicly available dataset to prove the effectiveness of this approach.
Current trends in corneal transplantation

Corneal transplantation, as full-thickness transplantation, is an old surgical procedure which has been successfully performed for more than 100 years. However, in a last decade significant changes in surgical technique(s) have been implemented. The reason for such changes is the current trend to replace only the diseased part of the recipient cornea, not the whole cornea. Therefore, if the anterior part of the recipient cornea is opaque, the method of choice to treat such patient is anterior lamellar keratoplasty in which we can preserve the healthy recipient endothelium and thus decrease the chance of graft rejection. If the corneal disease involves posterior part of the recipient cornea, we use posterior lamellar keratoplasty, sparing the anterior part of the recipient cornea and thus improving speed and quality of visual recovery since the problem of high astigmatism caused by corneal sutures is solved. The advantages of lamellar transplantation are numerous: faster visual recovery, decreased rate of corneal graft rejection, preservation of the integrity of the globe, no suture-related problems (in case of posterior lamellar grafts), avoidance of complications related to “opensky” surgery, theoretical possibility to use one donor cornea for two recipients and the use of local instead of general anaesthesia. Of course, there are also some disadvantages of such surgeries: increased early endothelial cell loss, detachment of the posterior lamellar grafts, vascular or epithelial in-growth into lamellar plane, and uncertain fate of lamellar grafts in a long follow-up. In this review the most frequently performed methods of corneal transplantation are presented, together with main advantages and disadvantages of different surgical techniques.
DSCLU: A New Data Stream Clustring Algorithm for Multi Density Environments

Recently, data stream has become popular in many contexts of data mining. Due to the high amount of incoming data, traditional clustering algorithms are not suitable for this family of problems. Many data stream clustering algorithms proposed in recent years considered the scalability of data, but most of them did not attend the following issues: (1) The quality of clustering can be dramatically low over the time. (2) Some of the algorithms cannot handle arbitrary shapes of data stream and consequently the results are limited to specific regions. (3) Most of the algorithms have not been evaluated in multi-density environments. Identifying appropriate clusters for data stream by handling the arbitrary shapes of clusters is the aim of this paper. The gist of the overall approach in this paper can be stated in two phases. In online phase, data manipulate with specific data structure called micro cluster. This phase is activated by incoming of data. The offline phase is manually activated by coming a request from user. The algorithm handles clusters by considering with micro clusters created by the online phase. The experimental evaluation showed that proposed algorithm has suitable quality and also returns appropriate results even in multi-density environments.
Distributed Source Coding for Satellite Communications

Inspired by mobile satellite communications systems, we consider a source coding system which consists of multiple sources, multiple encoders, and multiple decoders. Each encoder has access to a certain subset of the sources, each decoder has access to certain subset of the encoders, and each decoder reconstructs a certain subset of the sources almost perfectly. The connectivity between the sources and the encoders, the connectivity between the encoders and the decoders, and the reconstruction requirements for the decoders are all arbitrary. Our goal is to characterize the admissible coding rate region. Despite the generality of the problem, we have developed an approach which enables us to study all cases on the same footing. We obtain inner and outer bounds of the admissible coding rate region in terms of /spl Gamma//sub N/* and /spl Gamma/~/sub N/*, respectively, which are fundamental regions in the entropy space defined by Yeung (1991). So far, there has not been a full characterization of /spl Gamma//sub N/*, so these bounds cannot be evaluated explicitly except for some special cases. Nevertheless, we obtain an alternative outer bound which can be evaluated explicitly. We show that this bound is tight for all the special cases for which the admissible coding rate region is known. The model we study in this paper is more general than all previously reported models on multilevel diversity coding, and the tools we use are new in multiuser information theory.
Methodological Aspects of Semantic Annotation

This paper constitutes a preliminary report on the work carried out on semantic content annotation in the LIRICS project, in close collaboration with the activities of ISO TC 37/SC 4/TDG 31. This consists primarily of: (1) identifying commonalities in alternative approaches to the annotation and representation of various types of semantic information; and (2) developing methodological principles and concepts for identifying and characterising representational concepts for semantic content. The LIRICS project does not aim to develop a standard format for the annotation and representation of semantic content, but at providing well-defined descriptive concepts. In particular, the aim is to build an on-line registry of definitions of such concepts, called data categories, in accordance with ISO standard 12620. These semantic data categories are abstract concepts, whose use is not restricted to any particular format or representation language. We advocate the use of the metamodel as a tool to extract the most important of these abstract overarching concepts, with examples from dialogue act, temporal, reference and semantic role annotation.
Bridging the e-gaps: towards post-ubiquitous computing

We have been working on research and development of advanced network and applications called "flexible computing". We are now in the next stage of this research, strongly pressing forward the concept of flexible computing, namely, "symbiotic computing", towards next generation computing model based on co-existence of real space and digital space. In this paper, we explain basic concepts, architecture and enabling technologies of symbiotic computing that we are aiming to develop.
Traffic simulation using agent-based models

In this paper we will build a computer traffic model simulating movement of each individual vehicle through the traffic network and the interactions of that vehicle with other vehicles and semaphores (an agent-based model). It will model a simple traffic network (a two-way coordinated semaphore system a.k.a. "green wave") to test certain hypotheses on different kinds of semaphore systems. We will show that, with certain limitations, such a model can run on an average PC computer at speed up to ten times the real-time. In order to validate this model, a two-way coordinated semaphore system will be statistically compared to a non-coordinated system, hopefully proving the advantage of semaphore coordination.
Toward an ontological formalisation for a software functional size measurement method's application process: The FPA case

—One of the key parameters in estimation activities (effort, costs) is the size. This important parameter can be expressed in terms of function points or lines of codes. The major advantage of software functional size measurement is the fact that it can be performed very early in the life cycle of the software (analysis or design). Despite significant improvement observed these last years (efforts in standardization for example), software functional size measurement remains a non-obvious activity, especially when applying measurement methods. A proper expertise for each method is needed. The implementation of existing software functional size measurement systems in the industry has to deal with two major technical difficulties: the difficulty of applying measurement methods (which makes the task of the measurer tiresome and requires sometimes the help of one or several experts, unfortunately not always available) [6], the lack of support tools to help measurers in their task. Relatively to this last point, Sue Black & David Wigg [5] noticed that "The software industry needs software measurement tools which can be used to compute measures across several platforms and languages to provide flexibility and usability". Today, many research laboratories are working on the development of measurement tools for software functional size measurement [10][9][22]. The design of such tools is necessarily based on: (1) the identification of all the concepts handled in a method's measurement procedure, as well as the relationships between these concepts (domain ontology); (2) the identification of all the tasks associated with a method's measurement procedure, as well as the links between these tasks (tasks ontology). This paper adresses an ontological perception of a method's measurement procedure (a software functional size measurement method's application process). The emphasis is put on domain and tasks ontologies associated with the procedure. The first two papers on this topic [2][3] looked at COSMIC-FFP and MkII-FPA's measurement procedures respectively as case study. This one concentrates on the FPA's measurement procedure.
Inhibition of Cdk2 kinase activity selectively targets the CD44+/CD24−/Low stem-like subpopulation and restores chemosensitivity of SUM149PT triple-negative breast cancer cells

Inflammatory breast cancer (IBC) is an angioinvasive and most aggressive type of advanced breast cancer characterized by rapid proliferation, chemoresistance, early metastatic development and poor prognosis. IBC tumors display a triple-negative breast cancer (TNBC) phenotype characterized by centrosome amplification, high grade of chromosomal instability (CIN) and low levels of expression of estrogen receptor α (ERα), progesterone receptor (PR) and HER-2 tyrosine kinase receptor. Since the TNBC cells lack these receptors necessary to promote tumor growth, common treatments such as endocrine therapy and molecular targeting of HER-2 receptor are ineffective for this subtype of breast cancer. To date, not a single targeted therapy has been approved for non-inflammatory and inflammatory TNBC tumors and combination of conventional cytotoxic chemotherapeutic agents remains the standard therapy. IBC tumors generally display activation of epithelial to mesenchymal transition (EMT) that is functionally linked to a CD44+/CD24−/Low stem-like phenotype. Development of EMT and consequent activation of stemness programming is responsible for invasion, tumor self-renewal and drug resistance leading to breast cancer progression, distant metastases and poor prognosis. In this study, we employed the luminal ER+ MCF-7 and the IBC SUM149PT breast cancer cell lines to establish the extent to which high grade of CIN and chemoresistance were mechanistically linked to the enrichment of CD44+/CD24low/− CSCs. Here, we demonstrate that SUM149PT cells displayed higher CIN than MCF-7 cells characterized by higher percentage of structural and numerical chromosomal aberrations. Moreover, centrosome amplification, cyclin E overexpression and phosphorylation of retinoblastoma (Rb) were restricted to the stem-like CD44+/CD24−/Low subpopulation isolated from SUM149PT cells. Significantly, CD44+/CD24−/Low CSCs displayed resistance to conventional chemotherapy but higher sensitivity to SU9516, a specific cyclin-dependent kinase 2 (Cdk2) inhibitor, demonstrating that aberrant activation of cyclin E/Cdk2 oncogenic signaling is essential for the maintenance and expansion of CD44+/CD24−/Low CSC subpopulation in IBC. In conclusion, our findings propose a novel therapeutic approach to restore chemosensitivity and delay recurrence of IBC tumors based on the combination of conventional chemotherapy with small molecule inhibitors of the Cdk2 cell cycle kinase.
Use of personal reflexive modelling in challenging conceptualisations of cultural heritage

Abstract Conceptual and theoretical modelling has been deployed in archival science for over 20 years to critically examine the complex and diverse roles that records and archives play at individual, community and societal levels. However, how theoretical models can be utilised by professionals in practice has not, in general, been adequately described or explained. Added to this, the growing discourse on identifying and examining power structures inherent in institutional practices and policies, adds pressure to an increasingly complex heritage environment. A recent call for activist archivists is engaging, but lacks robust communication of the tools, methods and frameworks that can initiate and support how activism is deployed, evaluated and evolved, and what impact activism has as a transformative practice. This paper proposes the use of a theoretical model, the Mediated Recordkeeping Model (MRkM), as a framework to guide the development and implementation of self-reflexive modelling processes to challenge individual assumptions and practices within the memory and heritage professions. The reflexive modelling process is explored via a use case. Future research in this area would look towards building and testing formal methods that deploy the reflexive modelling technique and use of the MRkM.