Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a typology of social news apps from a Crowd Computing perspective

The Web is now both an information repository and a cyberspace supported by a participatory culture. In the domain of news and journalism, the Social Web has witnessed the emergence of Social News Websites (SNW), where users contribute for various reasons. Sites like Digg, Reddit and Storify, just to name a few, allow their users to discuss, comment, share, recirculate, tag and rate news from various sources. However, the social computing literature has described these sites so far through narrow definitions, e.g., as a synonym for social news aggregators, as specializations of social media or even as specialized forms of online social networks. In this research, we identify a broader landscape of social applications exploring citizen participation in the news value chain, and propose a broader definition and a typology for social news applications from the perspective of Crowd Computing.
Neural networks for self-learning control systems

It is shown that a neural network can learn of its own accord to control a nonlinear dynamic system. An emulator, a multilayered neural network, learns to identify the system's dynamic characteristics. The controller, another multilayered neural network, next learns to control the emulator. The self-trained controller is then used to control the actual dynamic system. The learning process continues as the emulator and controller improve and track the physical process. An example is given to illustrate these ideas. The 'truck backer-upper', a neural network controller that steers a trailer truck while the truck is backing up to a loading dock, is demonstrated. The controller is able to guide the truck to the dock from almost any initial position. The technique explored should be applicable to a wide variety of nonlinear control problems. <<ETX>>
2011 6th International Conference on Risks and Security of Internet and Systems (crisis) Sewsec: a Secure Web Service Composer Using Information Flow Control

—In this paper, we describe SEWSEC, a Secure Web Service Composer that assists the system designer to secure his composed Web Services. The system designer can use standard tools like BPEL to compose services and configures the security of some exchanged data and internal resources. By abstracting the system to a hierarchy of dependence graphs, SEWSEC applies an Information Flow Control verifying that the configuration ensures an end-to-end security. In case of insecure configuration, SEWSEC helps the designer to modify it and the security code is generated. A use case study on a real system illustrates SEWSEC practical usage, its interoperability with web services standards and its acceptable performance.
Loop scheduling with timing and switching-activity minimization for VLIW DSP

In embedded systems, high-performance DSP needs to be performed not only with high-data throughput but also with low-power consumption. This article develops an instruction-level loop-scheduling technique to reduce both execution time and bus-switching activities for applications with loops on VLIW architectures. We propose an algorithm, SAMLS (Switching-Activity Minimization Loop Scheduling), to minimize both schedule length and switching activities for applications with loops. In the algorithm, we obtain the best schedule from the ones that are generated from an initial schedule by repeatedly rescheduling the nodes with schedule length and switching activities minimization based on rotation scheduling and bipartite matching. The experimental results show that our algorithm can reduce both schedule length and bus-switching activities. Compared with the work of Lee et al. [2003], SAMLS shows an average 11.5% reduction in schedule length and an average 19.4% reduction in bus-switching activities.
Using the Web as a Bilingual Dictionary

We present a system for extracting an English translation of a given Japanese technical term by collecting and scoring translation candidates from the web. We first show that there are a lot of partially bilingual documents in the web that could be useful for term translation, discovered by using a commercial technical term dictionary and an Internet search engine. We then present an algorithm for obtaining translation candidates based on the distance of Japanese and English terms in web documents, and report the results of a preliminary experiment.
iNeighbour TV: A Social TV Application to Promote Wellness of Senior Citizens

In this chapter, the authors present the on-going work of the iNeighbour TV research project that aims to promote health care and social interaction among senior citizens, their relatives, and caregivers. The TV set was the device chosen to mediate all the action, since it is a friendly device and one with which the elderly are used to interacting. A study, conducted among the project’s target audience, using a participatory design approach is addressed in the chapter. Its purpose was to better characterize this type of users, identify relevant features, and evaluate usability and user interface requirements targeted to television (in an IPTV infrastructure). The analysis of the study results, which ensured the revision of the project’s features, is also presented along with a comprehensive description of the validated features. Some of these include automatic user recognition system, medication reminder, monitoring system (of deviations from daily patterns), caregiver support, events planning, audio calls, and a set of tools to promote community service. The chapter also focuses on the challenges to define the evaluation of the iNeighbour TV through an analysis of related projects and their lab or in situ approaches, concluding that, although the in situ methodology is more complex, it is more suitable for the iNeighbour TV project. The process of implementing a field trial with this specific target audience is revealing important challenges, but the diversity of data that it potentially provides reinforces the relevance of such an evaluation.
WORK ENGAGEMENT PADA EMPLOYEE WELL-BEING DOSEN PERGURUAN TINGGI ISLAM NEGERI

This study aims to look at the contribution of work engagement to employee well-being for lecturers at state Islamic religious universities. This study uses a quantitative approach using survey methods. The data collection technique in this study was cluster sampling with a total of 112 lecturers at state Islamic universities in Indonesia. Methods of data analysis using simple regression with SPSS Statistics 20 for windows. Based on the results of the hypothesis test, the R square value was 0.260 and p = 0.000 (p < 0.05), so it can be concluded that work engagement contributes 26.0% to employee well-being of lecturers at state Islamic universities.
Standardization in gully erosion studies: methodology and interpretation of magnitudes from a global review

Standardization is the process of developing common conventions or proceedings to facilitate the communication, use, comparison and exchange of products or information among different parties. It has been an useful tool in different fields from industry to statistics due to technical, economic and social reasons. In science the need for standardization has been recognised in the definition of methods as well as in publication formats. With respect to gully erosion, a number of initiatives have been carried out to propose common methodologies, for instance, for gully delineation (Castillo et al., 2014) and geometrical measurements (Casalí et al., 2015). The main aims of this work are: 1) to examine previous proposals in gully erosion literature implying standardization processes; 2) to contribute with new approaches to improve the homogeneity of methodologies and presentation of results for a better communication among the gully erosion community. For this purpose, we evaluated the basic information provided on environmental factors, discussed the delineation and measurement procedures proposed in previous works and, finally, we analysed statistically the severity of degradation levels derived from different indicators at the world scale. As a result, we presented suggestions aiming to serve as guidance for survey design as well as for the interpretation of vulnerability levels and degradation rates for future gully erosion studies.
Dynamics of Real-world Networks

In our recent work we found very interesting and unintuitive patterns for time evolving networks, which change some of the basic assumptions that were made in the past. The main objective of observing the evolution patterns is to develop models that explain processes which govern the network evolution. Such models can then be fitted to real networks, and used to generate realistic graphs or give formal explanations about their properties. In addition, our work has a wide range of applications: we can spot anomalous graphs and outliers, design better graph sampling algorithms, forecast future graph structure and run simulations of network evolution. Another important aspect of this research is the study of “local” patterns and structures of propagation in networks. We aim to identify building blocks of the networks and find the patterns of influence that these block have on information or virus propagation over the network. Our recent work included the study of the spread of influence in a large person-to-person product recommendation network and its effect on purchases. We also model the propagation of information on the blogosphere, and propose algorithms to efficiently find influential nodes in the network. Further work will include three areas of research. We will continue investigating models for graph generation and evolution. Second, we will analyze large online communication networks and devise models on how user characteristics and geography relate to communication and network patterns. Third, we will extend the work on the propagation of influence in recommendation networks to blogs on the Web, studying how information spreads over the Web by finding influential blogs and analyzing their patterns of influence. We will also study how the local behavior affects the global structure of the network.
Fungal Infections in Intensive Care Unit: Challenges in Diagnosis and Management

Infections have almost become an inseparable part of the intensive care units throughout the globe in spite of numerous advancements in diagnostic and therapeutic interventions. With advances in critical care medicine and introduction of broad-spectrum antibiotics, the incidence of invasive fungal infections in intensive care is on the rise, especially in patients with immunosuppression. The aim of this review is to collect recent information about various types of invasive fungal infections prevalent in the intensive care unit, the problems in their diagnosis and recent trends in their management. A thorough literature search was made in PubMed and Google using the following keywords for our search: Invasive fungal infection, antifungal therapy in intensive care unit, candidiasis. The major fungi implicated worldwide are Candida and Aspergillus spp. , followed by Cryptococcus, Histoplasma, etc., in endemic areas. These produce a wide variety of infections that are difficult to diagnose as most of the diagnosing tests are non-specific and the culture takes a long time. An early suspicion of fungal infection with institution of appropriate antifungal therapy is mandatory for a positive outcome and to prevent development of invasive fungal infection.
Assessment of Groundwater Recharge in a Small Ravine Watershed in Semi-arid Region of India

Groundwater is the most preferred source of water in India due to its widespread availability and low capital cost. The total annual replenishable groundwater resources of India have been estimated as 447 Billion Cubic Meter (BCM). Out of which, 36 BCM is turn into natural discharge. The yearly groundwater availability in India is 411 BCM. According to the assessment of dynamic groundwater resources of India, the stage of groundwater development in the India is 62 per cent (MoWR, 2013). Out of total extracted groundwater, the highest (89%) is used in irrigation followed by domestic (9%) and industrial (2%) sectors (Suhag, 2016). Population growth and economic development are putting unprecedented pressure on water resources especially in arid and semi-arid International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 02 (2018) Journal homepage: http://www.ijcmas. com
Expression of cell adhesion molecule E-cadherin in Xenopus embryos begins at gastrulation and predominates in the ectoderm

The expression of the Ca2+-dependent epithelial cell adhesion molecule E-cadherin (also known as uvomorulin and L-CAM) in the early stages of embryonic development of Xenopus laevis was examined. E-Cadherin was identified in the Xenopus A6 epithelial cell line by antibody cross- reactivity and several biochemical characteristics. Four independent mAbs were generated against purified Xenopus E-cadherin. All four mAbs recognized the same polypeptides in A6 cells, adult epithelial tissues, and embryos. These mAbs inhibited the formation of cell contacts between A6 cells and stained the basolateral plasma membranes of A6 cells, hepatocytes, and alveolar epithelial cells. The time of E- cadherin expression in early Xenopus embryos was determined by immunoblotting. Unlike its expression in early mouse embryos, E- cadherin was not present in the eggs or early blastula of Xenopus laevis. These findings indicate that a different Ca2+-dependent cell adhesion molecule, perhaps another member of the cadherin gene family, is responsible for the Ca2+-dependent adhesion between cleavage stage Xenopus blastomeres. Detectable accumulation of E-cadherin started just before gastrulation at stage 9 1/2 and increased rapidly up to the end of gastrulation at stage 15. In stage 15 embryos, specific immunofluorescence staining of E-cadherin was discernible only in ectoderm, but not in mesoderm and endoderm. The ectoderm at this stage consists of two cell layers. The outer cell layer of ectoderm was stained intensely, and staining was localized to the basolateral plasma membrane of these cells. Lower levels of staining were observed in the inner cell layer of ectoderm. The coincidence of E-cadherin expression with the process of gastrulation and its restriction to the ectoderm indicate that it may play a role in the morphogenetic movements of gastrulation and resulting segregation of embryonic germ layers.
Retrograde Changes in Presynaptic Function Driven by Dendritic mTORC1

Mutations that alter signaling through the mammalian target of rapamycin complex 1 (mTORC1), a well established regulator of neuronal protein synthesis, have been linked to autism and cognitive dysfunction. Although previous studies have established a role for mTORC1 as necessary for enduring changes in postsynaptic function, here we demonstrate that dendritic mTORC1 activation in rat hippocampal neurons also drives a retrograde signaling mechanism promoting enhanced neurotransmitter release from apposed presynaptic terminals. This novel mode of synaptic regulation conferred by dendritic mTORC1 is locally implemented, requires downstream synthesis of brain-derived neurotrophic factor as a retrograde messenger, and is engaged in an activity-dependent fashion to support homeostatic trans-synaptic control of presynaptic function. Our findings thus reveal that mTORC1-dependent translation in dendrites subserves a unique mode of synaptic regulation, highlighting an alternative regulatory pathway that could contribute to the social and cognitive dysfunction that accompanies dysregulated mTORC1 signaling.
Watermark copy attack

Research in digital watermarking has progressed along two paths. While new watermarking technologies are being developed, some researchers are also investigating different ways of attacking digital watermarks. Common attacks to watermarks usually aim to destroy the embedded watermark or to impair its detection. In this paper we propose a conceptually new attack for digitally watermarked images. The proposed attack does not destroy an embedded watermark, but copies it from one image to a different image. Although this new attack does not destroy a watermark or impair its detection, it creates new challenges, especially when watermarks are used for copyright protection and identification. The process of copying the watermark requires neither algorithmic knowledge of the watermarking technology nor the watermarking key. The attack is based on an estimation of the embedded watermark in the spatial domain through a filtering process. The estimate of the watermark is then adapted and inserted into the target image. To illustrate the performance of the proposed attack we applied it to commercial and non-commercial watermarking schemes. The experiments showed that the attack is very effective in copying a watermark from one image to a different image. In addition, we have a closer look at application dependent implications of this new attack.
Evidence that Candida albicans binds via a unique adhesion system on phagocytic cells in the marginal zone of the mouse spleen

We recently demonstrated by using an ex vivo adhesion assay that Candida albicans yeast cells exhibit a unique binding affinity for the marginal zone of the spleen. This binding event provides a working model for studying mechanisms of organ dissemination of the fungus from the blood. By using the ex vivo assays reported here, we showed by bright-field and electron microscopic techniques that mouse spleen marginal zone cells capable of ingesting India ink particles are also involved in yeast cell attachment. During splenic clearance of yeast cells from the circulation in vivo, C. albicans is also associated exclusively with marginal zone cells capable of ingesting India ink. The ability to ingest the ink particles is not necessarily related to yeast cell adherence, because the fungal cells did not bind to phagocytic cells in the splenic red pulp. In fact, the marginal zone phagocytic cells appear to have a unique binding system, because yeast cells also did not bind to phagocytes in other tissues, such as the thymus and peritoneum, or to seven different myeloid cell lines. In addition, antibodies to a number of well-characterized murine adhesion molecules, such as leukocyte integrins, LECAM-1, and CD44, had no effect on binding. On the basis of these results, we propose that splenic marginal zone phagocytes express a novel adhesion system that involves either a unique adhesion molecule or previously described adhesion molecules with unique binding activities.
Radixin deficiency causes deafness associated with progressive degeneration of cochlear stereocilia

Ezrin/radixin/moesin (ERM) proteins cross-link actin filaments to plasma membranes to integrate the function of cortical layers, especially microvilli. We found that in cochlear and vestibular sensory hair cells of adult wild-type mice, radixin was specifically enriched in stereocilia, specially developed giant microvilli, and that radixin-deficient (Rdx − / −) adult mice exhibited deafness but no obvious vestibular dysfunction. Before the age of hearing onset (∼2 wk), in the cochlea and vestibule of Rdx − / − mice, stereocilia developed normally in which ezrin was concentrated. As these Rdx − / − mice grew, ezrin-based cochlear stereocilia progressively degenerated, causing deafness, whereas ezrin-based vestibular stereocilia were maintained normally in adult Rdx − / − mice. Thus, we concluded that radixin is indispensable for the hearing ability in mice through the maintenance of cochlear stereocilia, once developed. In Rdx − / − mice, ezrin appeared to compensate for radixin deficiency in terms of the development of cochlear stereocilia and the development/maintenance of vestibular stereocilia. These findings indicated the existence of complicate functional redundancy in situ among ERM proteins.
A genetic algorithm for solving a hybrid flexible flowshop with sequence dependent setup times

In this paper, we propose a genetic algorithm (GA) to solve a realistic variant of flowshop problem. The variant considered here is a hybrid flexible flowshop problem with sequence-dependent setup times, and with the objective of minimizing the makespan. This type of flowshop is frequently used in the batch production, helping toreduce the gap between research and operational use. The proposed approach introduces three new crossover operators. Numerical experiments compare the performance of the GA on different benchmarks from the literature. The results show that the proposed approach is more effective than all other adaptations.
High Level Design Quality Assessment of Object Oriented Codes

This paper proposes an improved Object Oriented metrics, which may be used for the high-level design quality assessment of Object Oriented software. An integrated approach has been adopted to get a single class based metrics that may be used for cumulative measure of all aspects of object oriented design (encapsulation, inheritance and polymorphism), and hence an indication of quality of class in terms of complexity. These values of WCC (Weighted Class Complexity) when averaged will enable computing the average complexity of software and also the quality. Three principle steps, identification of product attributes, identification of quality factors and a means of linkage, has been followed to develop such a metric. The proposed metric has been theoretically and empirically validated. This single metric may be used in initial stages and ensuring compliance at this stage will increase the reliability of system as a whole, as reliability in general is a by-product of quality.
Multifactor Affiliation Analysis: A Multifactor Dimensionality Reduction based Learning Model for Knowledge Discovery and Similarity Measure in 2-way Data Classification

Extracting useful information from the datasets of high dimension and representing the learnt knowledge in an efficient way is a challenge in knowledge discovery and data mining. Although many pattern recognition, knowledge discovery and data mining techniques are available in literature, there is a need for techniques that represent the high dimensional data in a low dimension by preserving useful information for supervised learning. In this work, we design a novel model which effectively captures both inter-feature and intrafeature relationships in the sample space for knowledge discovery by performing dimensionality reduction, using a modified version of multi-factor dimensionality reduction based algorithm. The model uses the learnt knowledge to quantify the similarity of a test sample with respect to a specific class. The evaluation of the model on Fisher’s IRIS dataset containing 50 samples each from three types of IRIS species- setosa, versicolor and verginica, shows that the designed model explores the data set for useful information and assigns test samples to a specific class with measurable similarity indices.