Miracle-dz/UniFAR-FTUs huggingface dataset:
STOCK MARKET PREDICTION USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES

– Prediction of the stock market value has always been an area of interest for investors and researchers for a long time due to its complexity, intrinsic volatility and regularly changing nature. Thus, making reliable predictions are challenging. Both stock prices and twitter data have been employed in the prediction process. Previously various machine learning algorithms have been implemented to predict stock market variations. The objective of this is to compare the methods implemented in the past for the prediction of stock market value. The comparison between the results of the previous work help in determining the efficient algorithm and building the system model based on that selected algorithm.
BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems

We describe the Raytheon BBN Technologies (BBN) led VISER system for the TRECVID 2013 Multimedia Event Detection (MED) and Recounting (MER) tasks. We present a comprehensive analysis of the different modules: (1) a large suite of visual, audio and multimodal low-level features; (2) video- and segment-level semantic scene/action/object concepts; (3) automatic speech recognition (ASR); (4) videotext detection and recognition (OCR). For the low-level features, we used multiple static, motion-based, color, and audio features and Fisher Vector (FV) representation. For the semantic concepts, we developed various visual concept sets in addition to multiple existing visual concept banks. In particular, we used BBN's natural language processing (NLP) technologies to automatically identify and train salient concepts from short textual descriptions of research set videos. We also exploited online data resources to augment the concept banks. For the speech and videotext content, we leveraged rich confidence-weighted keywords and phrases obtained from the ASR and OCR systems. We combined these different streams using multiple early (feature-level) and late (score-level) fusion strategies. Our system involves both SVMbased and query-based detections, to achieve superior performance despite of the varying number of positive videos in the event kit. We present a thorough study of different semantic feature based systems compared to low-level feature based systems. Consistent with previous MED evaluations, low-level features still exhibit strong performance. Further, our semantic feature based systems have improved significantly, and produce gains in fusion, especially in the EK10 and EK0 conditions. On the prespecified condition, the mean average precision (MAP) of our VISER system are 33%, 16.6% and 5.2% for the EK100, EK10 and EK0 conditions respectively. These are largely consistent with our ad hoc results that are 32.2%, 14.3% and 8.1% for the EK100, EK10 and EK0 conditions respectively. For the MER task, our system has an accuracy of 64.96% and takes only 52.83% of the video length for the evaluators to analyze the evidence and make their judgment.
Handling Manet Routing Attacks Using Risk Aware Mitigation Mechanism with Extended D-S Theory

- In MANET (Mobile Ad hoc Networks) is highly vulnerable to attacks in this Routing attacks are most important because they will cause devastating damage to MANET. In order to deal with the routing attacks in the existing system we are using the binary or naive-fuzzy theory of cost sensitive intrusion response system in MANET. But this model cause unexpected network partition and additional damage, It took the subjective knowledge and objective evidence but omitted the logical reasoning part. So in proposed system we are using the risk aware response mechanism based on the quantitative risk estimation and tolerance.
PART II : DELAMINATION

Rakenteiden Mekaniikka, Vol. 29 No. 1, 1996, s. 29-50 Some examinations and criteria of the interior delamination (interlaminar cracking) are reviewed. Also, aspects related to the experimental determination of fracture mechanics parameters are discussed. A critical survey of these criteria showed that due to heterogenity of composite material, statistical variability of the mechanical properties and environmental effects, gross simplifications in the crack growth characterization of these materials must be made. In order to improve the understanding of the matrix failure, the physical basis of the phenomenon concerning the constrained cracking behaviour should be strengthened, at least, by the knowledge of the residual stresses in the microstructure and the initial crack size in the application of the fracture mechanics theory.
Current Work in Corpus Linguistics : Working with Traditionally-conceived Corpora and Beyond ( CILC 2015 ) DEXTER : Automatic Extraction of Domain-Specific Glossaries for Language Teaching

Many researchers emphasize the importance of corpora in the design of Language-for-Specific-Purposes courses in higher education. However, identifying those lexical units which belong to a given specific domain is often a complex task for language teachers, where simple introspection or concordance analysis does not really become effective. The goal of this paper is to describe DEXTER, an open-access platform for data mining and terminology management, whose aim is not only the search, retrieval, exploration and analysis of texts in domain-specific corpora but also the automatic extraction of specialized words from the domain. © 2015 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of Universidad de Valladolid, Facultad de Comercio.
Factors to Develop Man for Others and Man of God: National Identity as a Nation Who Believes in The One and Only God

Indonesia is a country having foundation as Pancasila regarded as a base and vision of the country, therefore all activities and programs to build the structures and infra structures are based on Pancasila. The first principle of Pancasila is belief in the One and Only God. This principle needs to develop and to be accepted in all Indonesians in order to enforce and to embed the principle, Researcher tries to interview some Dedicated Catholic Priests how to live on their own religiosity and help their societies. Catholic Priests are strictly chosen because of their long education to be priest (is about 10 years after high school); their commitment to help communities, and their dedication to serve God. Through this, Researcher hopes it can strengthen the first principle of Pancasila to be embedded in Indonesian heart.
Indigenous Peoples ’ food systems & well-being interventions & policies for healthy communities

based at the Centre for Indigenous Peoples’ Nutrition and Environment (CINE) and the School of Dietetics and Human Nutrition at McGill University in Montreal. She completed a B.Sc. in Nutrition and Dietetics, an M.Sc. in Nutrition, a Ph.D. in Nutritional Sciences, and is now Professor Emerita. With sustained research interests in Indigenous Peoples’ unique food resources, nutrition and nutrition interventions, she has worked with more than 40 cultures of Indigenous Peoples in different regions of the world. She chairs the Task Force on Traditional, Indigenous and Cultural Food and Nutrition of the International Union of Nutritional Sciences.
HOXA6 inhibits cell proliferation and induces apoptosis by suppressing the PI3K/Akt signaling pathway in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cell carcinoma and the incidence of this disease is increasing. The present study aimed to investigate the role of homeobox A6 (HOXA6) in the proliferation and apoptosis of ccRCC cells. Analysis of the GSE6344 dataset and immunohistochemistry revealed that the mRNA and protein expression levels of HOXA6 were suppressed in ccRCC tissues. To evaluate the roles of HOXA6 in cell proliferation and apoptosis, ccRCC cell lines (786-O and 769-P) were transfected with plasmids expressing HOXA6, empty vector, short hairpin (sh)HOXA6 and non-targeting shRNA (NC). Cell Counting Kit-8, colony formation and 5-ethynyl-2′-deoxyuridine staining assays were performed to analyze cell proliferation. In addition, Caspase-Glo and terminal deoxynucleotidyl transferase dUTP nick end labeling assays were performed to detect apoptosis. Furthermore, the cell cycle and apoptotic rates of 786-O and 769-P cells were analyzed by flow cytometry. The results demonstrated that, compared with the empty vector group, the proliferation of 786-O and 769-P cells decreased following HOXA6 overexpression; however, compared with the NC group, cell proliferation increased in the shHOXA6 group. The rate of apoptosis of HOXA6-overexpressing cells was increased compared with the empty vector group, while the rate of apoptosis in the shHOXA6 group was reduced compared with the NC group. In addition, flow cytometry demonstrated that upregulated HOXA6 expression levels could inhibit the cell cycle at the G0/G1 phase. Western blotting revealed that the expression levels of phosphoinositide 3-kinase (PI3K), phosphorylated (p)-protein kinase B (Akt), mitogen-activated protein kinase kinase, p-extracellular signal-regulated kinase (ERK) and B-cell lymphoma 2 (Bcl-2) were suppressed in cells overexpressing HOXA6; however, the protein expression levels of phosphatase and tensin homolog, Bcl-2-associated X protein, cleaved caspase-3 and cleaved-poly (ADP-ribose) polymerase were increased compared with the empty vector group. Opposing results were reported for the shHOXA6 group compared with the NC group. In summary, the results demonstrated that HOXA6 suppresses cell proliferation and promotes apoptosis, which may occur via inhibition of the PI3K/Akt/ERK cascade. These findings indicate the role of HOXA6 in ccRCC; however, the underlying mechanism requires further investigation.
Learning from First-Generation Qualitative Approaches in the IS Discipline: An Evolutionary View and Some Implications for Authors and Evaluators (Part 2/2)

Qualitative research in the information systems (IS) discipline has come a long way, from being dismissed as “exploratory research” or “preresearch,” not worthy of being featured in “scientific” and authoritative journals in the discipline, to a state where such research is seen as legitimate and even welcome within much of the mainstream IS research community. Recent editorials have expressed concerns regarding the research community’s lack of awareness about the diverse nature of qualitative research and the apparent confusion regarding how these diverse approaches are different. In this two-part editorial, Part 1 focused on analyzing first-generation qualitative research approaches based on four key elements (theory, data, analysis, and claims), and discussed how each of these elements might vary depending on the type (i.e., genre) of the qualitative study. In Part 2, we examine qualitative studies published over the past 17 years in four leading journals for evidence related to the genres identified in Part 1 of this editorial. Specifically, our goal was to assess the recognition of various genres in the published papers, and to determine whether there was sufficient internal consistency for a given genre within each paper. Based on the results of the assessment, we offer lessons for authors, reviewers, and editors.
Tree automata, mu-calculus and determinacy

It is shown that the propositional mu-calculus is equivalent in expressive power to finite automata on infinite trees. Since complementation is trivial in the mu-calculus, the equivalence provides a radically simplified, alternative proof of M.O. Rabin's (1989) complementation lemma for tree automata, which is the heart of one of the deepest decidability results. It is also shown how mu-calculus can be used to establish determinacy of infinite games used in earlier proofs of complementation lemma, and certain games used in the theory of online algorithms. <<ETX>>
Lessons in programme leadership from two cases of designing new interdisciplinary master’s programmes

Drawing on an adaptation of Quinlan’s (2014) model of leadership for learning in higher education, we analyse two case studies of the process of designing postgraduate interdisciplinary taught programmes in a research-intensive university in the UK (Gantogtokh, Quinlan 2017), focusing on the leadership required for interdisciplinary curriculum design. First, we focus on the organisational structures and processes these leaders put in place to support programme development. Second, we consider the personal characteristics of the leaders, focusing on how they built relationships with module leaders representing diverse disciplinary communities. Finally, we identify examples of knowledge about learning, teaching and assessment these programme leaders used. We conclude with implications for programme leaders and educational leadership development.
A portable runtime interface for multi-level memory hierarchies

The efficient use of a machine’s memory system and parallel processing resources has become one of the most important challenges in program optimization. Moreover, efficient use of the memory hierarchy is increasingly important because of the power cost of data transfers through the system. Architecture trends are leading to large scale parallelism using simpler cores and progressively deeper and complex memory hierarchies. These new architecture designs have improved power characteristics and can offer large increases in performance, but traditional programming techniques are inadequate for these architectures. In this dissertation, we explore a programming language and runtime system for making efficient use of the memory hierarchy and parallel processing resources. This dissertation provides an overview of Sequoia, a programming language we have developed at Stanford to facilitate the development of memory hierarchy aware parallel programs that remain portable across modern machines featuring different memory hierarchy configurations. Sequoia abstractly exposes hierarchical memory in the programming model and provides language mechanisms to describe communication vertically through the machine and to localize computation to particular memory locations within it. This dissertation presents a platform independent runtime interface for moving data and computation through parallel machines with multi-level memory hierarchies. We show that
Software Defined Multi-Spectral Imaging for Arctic Sensor Networks

Availability of off-the-shelf infrared sensors combined with high definition visible cameras has made possible the construction of a Software Defined Multi-Spectral Imager (SDMSI) combining long-wave, near-infrared and visible imaging. The SDMSI requires a real-time embedded processor to fuse images and to create real-time depth maps for opportunistic uplink in sensor networks. Researchers at Embry Riddle Aeronautical University working with University of Alaska Anchorage at the Arctic Domain Awareness Center and the University of Colorado Boulder have built several versions of a low-cost drop-in-place SDMSI to test alternatives for power efficient image fusion. The SDMSI is intended for use in field applications including marine security, search and rescue operations and environmental surveys in the Arctic region. Based on Arctic marine sensor network mission goals, the team has designed the SDMSI to include features to rank images based on saliency and to provide on camera fusion and depth mapping. A major challenge has been the design of the camera computing system to operate within a 10 to 20 Watt power budget. This paper presents a power analysis of three options: 1) multi-core, 2) field programmable gate array with multi-core, and 3) graphics processing units with multi-core. For each test, power consumed for common fusion workloads has been measured at a range of frame rates and resolutions. Detailed analyses from our power efficiency comparison for workloads specific to stereo depth mapping and sensor fusion are summarized. Preliminary mission feasibility results from testing with off-the-shelf long-wave infrared and visible cameras in Alaska and Arizona are also summarized to demonstrate the value of the SDMSI for applications such as ice tracking, ocean color, soil moisture, animal and marine vessel detection and tracking. The goal is to select the most power efficient solution for the SDMSI for use on UAVs (Unoccupied Aerial Vehicles) and other drop-in-place installations in the Arctic. The prototype selected will be field tested in Alaska in the summer of 2016.
Nonblocking and Orphan-Free Message Logging Protocols *

/ Currently existing message logging protocols demonstrate a classic pessimistic vs. optimistic tradeoff. We show that the optimistic-pessimistic tradeoff is not inherent to the problem of message logging. We construct a message-logging protocol that has the positive features of both optimistic and pessimistic protocol: our protocol prevents orphans and allows simple failure recovery; however, it requires no blocking in failure-free runs. Furthermore, this protocol does not introduce any additional message overhead as compared to one implemented for a system in which messages may be lost but processes do not crash. f
THE EFFECTS OF HYDRO POWER PLANTS ’ GOVERNOR SETTINGS ON THE STABILITY OF TURKISH POWER SYSTEM FREQUENCY

This paper discusses the effects of hydro power plants’ (HPP) governor settings on the stability of Turkish power system frequency. A representative network model is utilized to investigate the contribution of HPPs in frequency oscillation damping performance. A case study performed for a large HPP in Turkish network shows that modification of transient droop setting on the speed-governor in order to improve response time conflicts with the stable operation of the units. This modification, which is common in most HPPs, has essentially a negative effect on the Turkish frequency stability.
Re-Ranking Based Image Categorization Using Saliency Driven Nonlinear Diffusion Filtering -A Review

The new technique is proposed for Re-ranking based image categorization using saliency driven nonlinear diffusion filtering. The image categorize based on Re-ranking, using multi-scale information fusion based on the original image. The foreground features, which are important for image categorization and the background image regions, whether considered as contexts of the foreground or noise to the foreground, can be globally handled by fusing information from different scales. To preserve the foreground feature and deal effectively with background use saliency driven nonlinear diffusion filtering and Re-ranking categorize the image.
Protesting Ethnic Minorities in Europe: A Fuzzy-Set Analysis

This study analyzes the contextual nature of ethnogroup mobilization in Europe. The focus is on ethnopolitical protest, a form of group mobilization involving peaceful protest. The analysis is based on the “Minorities at Risk” dataset which consists of data on ethnic minorities that are most vulnerable to discrimination practices within European countries. The paper assesses the status of necessity and sufficiency for several conditions in relation to both the presence and the absence of strong ethnopolitical protest for 29 selected minority groups: democracy level, political discrimination, geographical concentration, ethnic fractionalization and the degree of national pride among members of the minority group. The fuzzy-set analysis highlights that minority groups are engaged in strong, but peaceful protest when they (1) are mobilized in a democratic environment, (2) live in a county with a high degree of ethnic fractionalization, and (3) either have weak feelings of national pride or are ethnically concentrated in compact territorial locations. On the other side of the outcome, minority groups without strong ethnopolitical protest (1) have strong feelings of national pride among members of the group, (2) face no political discrimination, and (3) reside in emerging democracies. These results demonstrate the utility of fuzzy set analysis for the investigation of causal complexity in the area of ethnic mobilization.
LISP AND SYMBOLIC COMPUTATION : An International Journal , ? , ? ? – ? ?

Meyer and Wand established that the type of a term in the simply typed λcalculus may be related in a straightforward manner to the type of its call-by-value CPS transform. This typing property may be extended to Scheme-like continuation-passing primitives, from which the soundness of these extensions follows. We study the extension of these results to the Damas-Milner polymorphic type assignment system under both the call-by-value and call-by-name interpretations. We obtain CPS transforms for the call-by-value interpretation, provided that the polymorphic let is restricted to values, and for the call-by-name interpretation with no restrictions. We prove that there is no call-by-value CPS transform for the full Damas-Milner language that validates the Meyer-Wand typing property and is equivalent to the standard call-by-value transform up to operational equivalence.
Browser-Based Peer-to-Peer Clients and Copyright Infringement

We have created a browser extension called Fusion Fox to integrate the BitTorrent file sharing protocol into the Firefox web browser. Fusion Fox adds support to the browser for a BitTorrent URL type, which can be used like any other URL. It thus enables the transparent use of BitTorrent to retrieve media content for HTML image tags or an embedded media player. This means that somebody viewing the content on a web site might also be redistributing that content to other people without being aware of it, which poses legal problems, as copying and making a work available to the public are exclusive rights of the copyright's owner. The paper surveys the legal issues that FusionFox thus raises.
Evaluation of Analgesic Activity by Acetic Acid Induced Writhing Method of Crude Extracts of Acacia nilotica

Pain may be defined as an unpleasant sensory and emotional experience associated with actual or potential tissue damage or described in terms of such damage. It may vary in intensity (mild, moderate, or severe), quality (sharp, burning or dull), duration (transient, intermittent, or persistent) and referral (superficial or deep, localized or diffuse). Typically, it is a direct response to an untoward event associated with tissue damage, such as injury, inflammation or cancer, but severe pain can arise independently of any obvious predisposing cause (e.g. trigeminal neuralgia) or can persist long after the precipitating injury has healed (e.g. phantom limb pain). In addition some disorders commonly occur in patients who experience pain such as – hyperalgesia (extreme sensitivity to pain stimuli), allodynia (pain in response to non-noxious mechanical stimuli) and hyperesthesia (abnormal sensitivity to sensory stimuli). In recent times, medicinal plants occupy a considerable position for being the paramount sources of drug discovery irrespective of its categorized groupsherb, shrub or tree. The crude methanolic extract of Acacia nilotica bark with different soluble partitionates were subjected to investigate for the evaluation of analgesic, hypoglycemic, CNS depressant and antidiarrheal activity on mice and thrombolytic, antihelmentic, antimicrobial, antioxidant along with cytotoxicity different in vivo experiment. Analgesic activity of the plant Acacia nilotica was evaluated by acetic acid Induced writhing method. The result showed that the bark extract of plant Acacia nilotica possessed moderate analgesic activity.