Miracle-dz/UniFAR-FTUs huggingface dataset:
A method of mining bilingual resources from Web Based on Maximum Frequent Sequential Pattern

The bilingual resources are indispensable and vital resources in the NPL fields, such as machine translation, etc. A large amount of electronic information is embedded in the Internet, which can be used as a potential information source of large-scale multi-language corpus, so it is a potential and feasible way to mine a great capacity of true bilingual resources from the Web. This paper proposes a method of mining bilingual resources from the Web based on Maximum Frequent Sequential Pattern. The method uses the heuristic approach to search and filter the candidate bilingual web pages, then mines patterns using maximum frequent sequential, and uses a machine learning method for extending the pattern base and verifying bilingual resources in accordance with the Japanese to Chinese word proportion. The experimental results indicate that the method could extract bilingual resources efficiently, with the precision rate over 90%.
A cognitive model of generalised anxiety disorder

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THE USE OF PROSODIC FEATURES TO HELP USERS EXTRACT INFORMATION FROM STRUCTURED ELEMENTS IN SPOKEN DIALOGUE SYSTEMS

Most of the previous research on speech user interfaces has focused on what information should be presented to the user. Equally important is the question of how this information should be presented. Although speech synthesis is quite intelligible in well-formed and simple sentences, it may be very difficult to understand when complex structural elements, like tables or URLs, are spoken. We arranged a controlled experiment to identify the prosodic features that affect the intelligibility and pleasantness of synthetic speech. Pauses were found to make a significant difference in comprehension. Good variation in pitch and rate seem to make a voice more pleasant to listen to but have only minor positive effect on comprehension. We analyzed the exact ways in which human readers used prosodic elements so that we could construct unique and human like computer ‘persons’ for spoken dialogue applications.
Principles of Gaze and Arm Animation : Can We Apply Them to Animated Agents ?

A central objective in character animation is to make characters believable in their behavior and clear in their communication with the viewer. Professional animators rely on empirical principles, derived through decades of practice, to animate their characters in a way that clearly conveys their intentions, emotions, and personalities. Even with these established principles as guidance, production of hand-authored animation is labor-intensive, time-consuming, and requires a great amount of skill.
Russian Education Policy From the Late 1980s Through the Early 2000s

We discuss the results of a study of Russian educational policy from the late 1980s to the early 2000s in connection with the emerging trends of educational inequality in the field of K–12 education. A statistical analysis of data on educational organizations, content analysis of documents, and a review of legislation and materials collected during expert interviews all show that the public policy of universal equality of educational opportunities that was declared throughout the period under review in practice was not provided with any legal or organizational support. At the same time, the implemented components of the liberal and neoliberal approaches in educational administration led to the growth of educational inequality (by stratifying schools by their level of resource provision and the quality of educational outcomes). At the same time, the economic and social conditions in post-Soviet Russia had a significant impact on the nature and practical effect of these components of administrative policy. This process has revealed the specifics of the Russian experience of neoliberal reforms in K–12 education and their adverse impact on educational inequality.
Representing history in graph-oriented NoSQL databases: A versioning system

Graph databases are taking more and more importance, especially for social networking. For instance, organizations can implement graph databases to represent and query data such as Person1 is CEO of Organization1. NoSQL graph databases (e.g., Neo4j) have been designed to deal with such data. However, managing history is not yet possible in an easy manner while being critical in many applications. Tracking changes is indeed one of the main functionalities in databases (especially Relational BD) and should not be forsaken in NoSQL graph DB. For instance, queries like “list all the people who have been CEO of Organization1” or “list all the functions People1 has been taken in his career” are important. In this paper, we thus propose a novel representation of historical graph data and tools to implement it as a plug-in of existing NoSQL graph systems.
Performance Evaluation of a Fuzzy-Based Wireless Sensor and Actuator Network Testbed for Object Tracking

Wireless Sensor and Actuator Networks (WSANs) have emerged as a variation of wireless sensor networks. WSANs are capable of monitoring physical phenomenons, processing sensed data, making decisions based on the sensed data and completing appropriate tasks when needed. Many surveillance cameras are used in facilities in order to keep secure environment. Human operators are now physically unable to constantly monitor these cameras. The devices deployed in the environment are sensors able to sense environmental data, actuators able to react by affecting the environment or have both functions integrated. In previous work, we proposed a fuzzy-based testbed that based on data provided by sensors and actuators selects an appropriate actuator node. In this paper, we evaluate its performance testbed system for object tracking. From the evaluation results, we found that the system detects the actuators in order to have low latency and proper task assignment considering multi actuators.
Human Pluripotent Stem Cells in Cardiovascular Research and Regenerative Medicine

Heart disease is one of the leading causes of mortality worldwide. Because adult cardiomyocytes (CMs) lack the ability to regenerate, malfunctions or significant loss of CMs due to disease or aging can lead to cardiac arrhythmias, heart failure, and subsequently death. Heart transplantation for patients with end stage heat failure is limited by the number of donor organs available. Cell-based therapies offer a promising alternative for myocardial repair, but there are significant challenges involved. The transplantation of human CMs, eg fetal CMs, is difficult for practical and ethical reasons, thus cells of noncardiac lineage, such as skeletal myoblasts (Murry et al., 1996; Menasche et al., 2003) and mesenchymal stem cells (Shake et al., 2002; Toma et al., 2002), have been considered as alternatives. Animal studies and clinical trials involving these cells have yielded conflicting results. Transplanted non-cardiac cells such as bone marrow-derived hematopoietic cells do not transdifferentiate into the cardiac lineage (Balsam et al., 2004; Murry et al., 2004). They also do not integrate into the host myocardium. For instance, the lack of electrical integration of skeletal myoblasts after their autologous transplantation into the myocardium resulted in the generation of malignant ventricular arrhythmias, which led to the premature termination of clinical trials involving skeletal myoblasts (Menasche et al., 2003; Smits et al., 2003). Therefore, an alternative cell source is needed.
Poster Abstract: Adaptive Gym Exercise Counting for myHealthAssistant

This paper presents an adaptive counting approach that captures weightlifting exercise repetitions despite fluctuations in the speed of performing. By having a hybrid counting approach that utilizes both state counting based on mean acceleration information and a sensor-based peak detection, reliable gym exercise counting with low transmission rates is achieved. Both approaches are running in parallel and enable the system to adapt to changes in the exercise speed in real-time and without losing counting information sent in the past.
Eupafolin and Ethyl Acetate Fraction of Kalanchoe gracilis Stem Extract Show Potent Antiviral Activities against Enterovirus 71 and Coxsackievirus A16

Enterovirus 71 (EV71) and coxsackievirus A16 (CoxA16) are main pathogens of hand-foot-and-mouth disease, occasionally causing aseptic meningitis and encephalitis in tropical and subtropical regions. Kalanchoe gracilis, Da-Huan-Hun, is a Chinese folk medicine for treating pain and inflammation, exhibiting antioxidant and anti-inflammatory activities. Our prior report (2012) cited K. gracilis leaf extract as moderately active against EV71 and CoxA16. This study further rates antienteroviral potential of K. gracilis stem (KGS) extract to identify potent antiviral fractions and components. The extract moderately inhibits viral cytopathicity and virus yield, as well as in vitro replication of EV71 (IC50 = 75.18 μg/mL) and CoxA16 (IC50 = 81.41 μg/mL). Ethyl acetate (EA) fraction of KGS extract showed greater antiviral activity than that of n-butanol or aqueous fraction: IC50 values of 4.21 μg/mL against EV71 and 9.08 μg/mL against CoxA16. HPLC analysis, UV-Vis absorption spectroscopy, and plaque reduction assay indicate that eupafolin is a vital component of EA fraction showing potent activity against EV71 (IC50 = 1.39 μM) and CoxA16 (IC50 = 5.24 μM). Eupafolin specifically lessened virus-induced upregulation of IL-6 and RANTES by inhibiting virus-induced ERK1/2, AP-1, and STAT3 signals. Anti-enteroviral potency of KGS EA fraction and eupafolin shows the clinical potential against EV71 and CoxA16 infection.
Enabling Massive Scale Sensing with the @LooCI Mobile Sensing Framework

21st century objectives such as smart cities require sensing at massive scale. To cost effectively realize massive-scale sensor networks, we advocate for the integration of purpose-deployed sensor networks with consumer mobile devices such as smart phones and web pads. These mobile devices serve as a local management interface to the sensor network, or as sensor nodes themselves in a participatory sensing model. To realize this vision, a common middleware is required that allows heterogeneous nodes with different hardware resources, network media and software stacks to be composed into coherent distributed applications. This paper extends the LooCI sensor network middleware with a framework for supporting mobile consumer devices. The resulting middleware, which we call @LooCI, provides a consistent development and management environment for both embedded sensor nodes and consumer mobile devices. @LooCI uses social network technologies to manage mobility and to facilitate the composition of sensors with human actors. We report on a prototype implementation of @LooCI for Android and Twitter. Our evaluation shows that @LooCI provides good performance on mobile devices and that social networks are a promising mechanism to integrate sensors with consumer mobile devices.
Measuring the revised guessability of graphical passwords

There is no widely accepted way of measuring the level of security of a recognition-based graphical password against guessing attacks. We aim to address this by examining the influence of predictability of user choice on the guessability and proposing a new measure of guessability. Davis et al. showed that these biases exist for schemes using faces and stories, we support this result and show these biases exist in other recognition-based schemes. In addition, we construct an attack exploiting predictability, which we term “Semantic Ordered Guessing Attack” (SOGA). We then apply this attack to two schemes (the Doodles scheme and a standard recognition-based scheme using photographic images) and report the results. The results show that predictability when users select graphical passwords influence the level of security to a varying degree (dependent on the distractor selection algorithm). The standard passimages scheme show an increase on guessability of up to 18 times more likely than the usual reported guessability, with a similar set up of nine images per screen and four screens, the doodles scheme shows a successful guessing attack is 3.3 times more likely than a random guess. Finally, we present a method of calculating a more accurate guessability value, which we call the revised guessability of a recognition-based scheme. Our conclusion is that to maximise the security of a recognition-based graphical password scheme, we recommend disallowing user choice of images.
Oral Steroid Treatment of Sudden Sensorineural Hearing Loss: A Ten Year Retrospective Analysis

Objective To describe ten years of experience with Sudden Sensorineural Hearing Loss and compare the outcomes with and without treatment with oral corticosteroids. Study Design Retrospective review of medical records. Setting Large specialty hospital, Department of Otolaryngology. Patients Patients presenting with sudden onset (72 hours) unilateral sensorineural hearing loss, with no evidence of Ménière's Disease, acoustic injury, retrocochlear disease, and other specifiable disorders. Interventions The majority of patients received a standard course of oral corticosteroids (Prednisone 60mg and taper). A smaller group declined treatment. Main Outcome Measures Recovery of hearing sensitivity was measured using standard audiometry and reported as change in Pure Tone Average. Word recognition scores were also analyzed. Results When severe-to-profound cases are analyzed, a significant improvement (p < .01) in Pure Tone Average is seen in cases treated with steroids versus those untreated. When milder cases are included, a statistical floor effect prevents differentiation of these groups. Word recognition scores were significantly improved (p < .05) in the treated group. Conclusions Application of steroid medication significantly improves the recovery outcomes in cases of Severe Sudden Sensorineural Hearing Loss.
Chemokine receptors that mediate B cell homing to secondary lymphoid tissues are highly expressed in B cell chronic lymphocytic leukemia and non‐Hodgkin lymphomas with widespread nodular dissemination

B cell neoplasms present heterogeneous patterns of lymphoid organ involvement, which may be a result of the differential expression of chemokine receptors. We found that chemokine receptor (CCR)7, CXC chemokine receptor (CXCR)4, or CXCR5, the main chemokine receptors that mediate B cell entry into secondary lymphoid tissues and their homing to T cell and B cell zones therein, were highly expressed in B malignancies with widespread involvement of lymph nodes. Conversely, those pathologies with little or no nodular dissemination showed no expression to very low levels of CCR7 and CXCR5 and low to moderate levels of CXCR4. These findings provide evidence for the role of CCR7, CXCR4, and CXCR5 in determining the pattern of lymphoid organ involvement of B tumors. Functional studies were performed on B malignancies expressing different levels of CCR7, CXCR5, and CXCR4. Multiple myeloma (MM) cells did not express CCR7 nor CXCR5 and did not migrate in response to their ligands; a moderate expression of CXCR4 on MM cells was accompanied by a migratory response to its ligand, CXCL12. By contrast, cells from B cell chronic lymphocytic leukemia (B‐CLL) expressed the highest levels of these chemokine receptors and efficiently migrated in response to all ligands of CCR7, CXCR4, and CXCR5. In addition, the migration index of B‐CLL cells in response to both of the CCR7 ligands correlated with the presence of clinical lymphadenopathy, thus indicating that the high expression of functional chemokine receptors justifies the widespread character of B‐CLL, representing a clinical target for the control of tumor cell dissemination.
Reflections—The Emerging Literature on Emissions Trading in Europe

The European Union Emissions Trading Scheme (EU ETS), inaugurated in 2005, is arguably the most important application of environmental economics the world has ever seen. It has generated an important literature, focused on understanding its origins and history, the allocation of allowances, the implications of competitiveness and the distribution of costs and benefits, the extent of abatement, the economic efficiency of the scheme, the implications of the new entrant provisions, and the study of markets, trading, and finance. This article reviews the recent literature and other sources of information and data on the EU ETS; identifies some of the most interesting emerging trends and articles in the emissions trading literature, especially those that appear to have been interesting and useful to our peers in the profession; and provides some general insights concerning what the emissions trading literature has to offer to those involved in the policy process. The author used survey responses from twenty-eight scholars in the emissions trading field to help identify some of the most interesting, valuable, and prescient research on the EU ETS.
A Comparative Analysis of DSR and AODV Protocols under Blackhole and Grayhole Attacks in MANET

Over the past decade, there has been a lot of research in the area of Mobile Ad-hoc NETwork(MANET). MANETs are autonomous, self-organized, infrastructure-less and decentralized wireless systems in which mobile nodes behave as a router as well as host. MANETs are mainly useful in military and other tactical applications such as emergency rescues. Security is the main challenge in these networks due to its nature as mobile and open media. There are various attacks among them blackhole and grayhole are most affecting the network working by dropping packets. In this paper the performance of MANET routing protocols, AODV and DSR, with blackhole and grayhole attack have been analysed under different scenarios using CBR traffic using NS2 taking various parameters such packet delivery ratio, average end to end delay and average throughput to compare and evaluate their performance. Keywords—MANET, AODV, DSR, Blackhole, Grayhole.
Efficient Data Aggregation with Secure Bloom Filter in Wireless Sensor Networks

Designing secure data aggregation schemes, which are critical to many sensor network applications, imposes interesting and formidable challenges. In this paper, we propose a succinct and practical secure aggregation protocol by combining HMAC (associated with a cryptographic hash function) with Bloom filter, which then is defined as secure Bloom filter. Unlike most previous approaches, which are aimed to provide security mechanisms for ordinary aggregation operations, our proposal firstly is an effective aggregation protocol, suitable for a specific but popular class of aggregation in wireless sensor networks. Benefiting from secure Bloom filter, the protocol, without any unrealistic assumptions, fulfills the fundamental security objective of preventing outside adversaries and compromised inside nodes from harming the overall network result. We systematically analyze the protocol performance and run extensive simulations on different network scenarios for evaluation. The simulation results demonstrate that the proposed protocol presents remarkable performance on security, communication cost, and degree of node energy consumption balance.
Mapping a Diverse Community's Engagement in Parks Planning

ABSTRACT As park agencies become increasingly challenged to ensure not just visitation but also support for parks by a diversity of constituents, heterogeneous community engagement has come into greater focus as a research priority for the parks tourism field (Eagles, 2014). To date, however, most studies of immigrants' participation in outdoor recreation have researched “recreational patterns, motivations and constraints” (Kloek, Buijs, Boersema, & Schouten, 2015, p. 48). This article adopts a process approach to map and analyze Parks Canada's community engagement during its work to establish Canada's first national urban park, whereby residents and stakeholders of a highly diverse community were given a platform to express their opinions. Qualitative analysis of in-depth interviews reveals six themes capturing park planners' assumptions and actions to enhance community outreach and provides rich descriptions of stakeholder-agency relationships using stakeholder theory. Results suggest that to effect change, planning must shift from an equality-based process to an equity-based one.
1 GEOSPATIAL ANALYSIS AND COMPARISON OF HABITAT COSTS FOR RESIDENT SARASOTA BAY BOTTLENOSE DOLPHINS ( TURSIOPS TRUNCATUS )

The Sarasota Dolphin Research Program (SDRP) studies a resident Florida bottlenose dolphin population that faces many threats from human activities. These dolphins concentrate in different areas seasonally, possibly in response to changes in the distribution of prey or predators. Movement from one location to another involves certain “costs” to the dolphins, which are defined in this project as the potential for negative environmental interactions (natural and anthropogenic). Using an updated habitat map for the SDRP study area and a geoprocessing model, a cost analysis was performed in order to compare the cost values of eight primary habitat types. Results indicated that Mangrove and Channel are the most costly, while Open Bay and Pass are the least costly. I hypothesized that dolphins will use habitats with lower costs more frequently than habitats with higher costs, but previous research and SDRP photographic survey data show that these dolphins frequently use dredged channels to move between areas, and at the population level they do not use any habitat type disproportionately to its availability.