Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of SenseCam on memory, identity and mood in Korsakoff's syndrome: A single case experimental design study

This study aimed to investigate the impact of SenseCam, a wearable, automatic camera, on subjective mood and identity in a patient with severe memory impairment due to Korsakoff's syndrome. It was hypothesised that SenseCam would improve Ms A's mood and identity through enhancing recall of autobiographical memories of recent events, therefore supporting a coherent sense of self; the lack of which was contributing to Ms A's mood deterioration. An ABA single case experimental design investigated whether using SenseCam to record regular activities impacted on Ms A's mood and identity. Ms A experienced improved recall for events recorded using SenseCam, and showed improvement on subjective ratings of identity. However, a corresponding improvement in mood was not seen, and the study was ended early at Ms A's request. Qualitative information was gathered to explore Ms A's experience of the study, and investigate psychosocial factors that may have impacted on the use of SenseCam. SenseCam may be of significant use as a compensatory memory aid for people with Korsakoff's syndrome and other types of alcohol-related brain damage (ARBD), but acceptance of memory impairment and consistent support may be among the factors required to support the use of such assistive technologies in a community setting.
Why Ideal Constant Power Loads Are Not the Worst Case Condition From a Control Standpoint

This paper investigates the influence of control bandwidth on the stability of loads, which are interfaced through power electronic converters and are fed from a dc power source. When tightly regulated, these loads exhibit a constant power load (CPL) behavior. It is shown here that the ideal CPL assumption, prevalent in literature, may not represent the worst case in real-life applications. If the control bandwidth of the load is sufficiently high, the load behaves like a CPL, and the system stability margin decreases with the increase in output power. However, in a practical range, with a lower control bandwidth, the system stability margin is influenced critically by the converter's characteristic impedance, as well as its output power. Under these conditions, the minimum stability margin may occur at a low-power range.
Market structure, business cycle and bank profitability: evidence on Polish banks

The study examines the impact of banking-sector structure and macroeconomic changes on bank profitability in the Polish banking sector over the past fifteen years (i.e. prior to and during the global financial crisis of 2008). The model developed in this paper incorporates the traditional structure-conduct-performance (SCP) hypothesis, as well as the relative market power hypothesis (RMP). Furthermore, this paper examines the overall effect of financial structure and macroeconomic conditions to determine whether financial development and business cycles affect the profit of Polish banks. Finally, this paper tests the impact of foreign capital on the profitability of Polish banks. Empirical results based on panel data set describing both micro-level and macro-level data find no evidence of the SCP hypothesis. However, this paper finds that foreign ownership and disintermediation have a positive effect on bank profitability in the period 1997−2012. As in other European countries, the profitability of commercial banks in Poland is contingent upon the business cycle.
Discrimination of contaminated fish responses by fractal dimension and entropy algorithms

The aim of the work was to develop a non-invasive methodology for image acquisition, processing and nonlinear trajectory analysis of the center of the fish group as a response to a stochastic event. Object detection and motion estimation were performed by an optical flow algorithm. The Fractal Dimension (FD) and the Entropy of the trajectory followed by the centroids of the groups of fish were calculated using Katz, Higuchi and Katz-Castiglionís FD and the Shannon Entropy algorithms respectively. The methodology was tested on three single cases European sea bass, two of which were similar (C1 control and C2 tagged fish) and very different from the third (C3, tagged fish in methylmercury contaminated water). Katz-Castiglioni and Shannon entropy were the most sensitive algorithms and proved to be promising tools for the non-invasive identification and quantification of differences in fish responses.
Celiac disease

Celiac disease is more prevalent than it was previously thought to be, and screening of selected population groups may reveal many new cases. Tissue transglutaminase appears to have a significant role in the degradation of gliadin and antigen production. Specific gliadin epitopes have been defined using T-cell responses. Bone disease is a significant problem for patients with celiac disease but management guidelines are being developed. Refractory sprue (nonresponsive celiac disease) appears to be a manifestation of enteropathy-associated T-cell lymphoma in most cases.
A comprehensive modeling, simulation and computational implementation of buck converter using MATLAB/Simulink

This paper presents a comprehensive modeling, simulation and computational implementation of buck converter. Four modeling approaches of buck converter including mathematical, circuitry, transfer function and state space modeling are presented. Each modeling approach is demonstrated with various computational implementation methods including graphical, functional block and text based programming in MATLAB and Simulink environment. The modeling and simulation results for all four approaches are presented and the pros and cons of each modeling and implementation methods are discussed. It contributes to power electronic curriculum delivery that help students to gain complete view of modeling, simulation and computational implementation of buck converter at the perspective of circuit theory, differential equation, numerical method, control theory, s-domain, signal and system. The presented models also contribute to the development of buck converter design, simulation, analysis and education tool.
Freight rate determinants in the offshore market : does energy efficiency pay?

There is a growing interest in the dynamics of freight rates in the offshore market, yet, the research within the field of microeconomic freight rate determinants is limited. This paper is an attempt to fill this gap by investigating microeconomic determinants of time-charter freight rates for Offshore Support Vessels (OSVs) in the global offshore market. We utilize a comprehensive panel data set of 40,537 individual fixtures for Platform Supply Vessels (PSV) and Anchor Handling Tug Supply (AHTS) vessels between 1984 and 2015. Through a division into spot and term charter rates, we pursue to verify to what extent there exists a relationship between realized freight rates for individual fixtures and macro-, contractand ship-specific variables. Our findings suggest that the market proxy for a standardised vessel dominates in terms of explanatory power, typically explaining around 80% of the rate for individual fixtures. Additionally, we find operating region, build country, vessel size, vessel age and other ship-specific properties, e.g. dynamic positioning system 2 (DP2) and ice class, as significant determinants of OSV freight rates. Moreover, we examine the presence of a freight rate premium for energy-efficient OSVs using four different definitions of efficiency. The time-charter market represents a classical principal-agent problem, where shipowners should, in a competitive market, obtain a premium reflecting the fuel savings that accrue to charterers. We suggest a two-tier market where energy efficiency pays off in the AHTS term market, whereas the PSV market is subject to an apparent market failure.
TFF2–CXCR4 Axis Is Associated with BRAF V600E Colon Cancer

Oncogene-induced senescence (OIS), a tumor-suppressive mechanism that is induced by the replicative and metabolic stress of oncogene activation, is a key barrier in the development of BRAF V600E colon cancer. Inhibition of this mechanism has been observed through epigenetic changes observed in sporadic serrated polyps, as well as through the germline mutations associated with those who develop serrated polyposis. We hypothesize that upregulated autocrine factors exist that are specific to the serrated pathway and also promote bypass of oncogene-induced senescence. To identify such autocrine factors, we integrate analyses of microarrays of sessile serrated polyps and two large colon cancer cohorts, the Cancer Genome Atlas (TCGA; n = 153), and French national Cartes d'Identité des Tumeurs (CIT) program (n = 462), with enhanced gene annotation through natural language processing techniques of the existing medical corpus. We reproducibly associate higher expression of the ligand–receptor axis of TFF2 and CXCR4 with BRAF V600E-mutant colon cancer (P = 3.0 × 10−3 and 0.077, respectively for TCGA; P = 3.0 × 10−8 and 5.1 × 10−7 for CIT). Given well-described oncogenic roles of TFF2 and CXCR4 in colon cancer, and availability of CXCR4 inhibitors for other clinical indications, this ligand–receptor axis may represent an actionable target for prevention and treatment of this molecular subtype of colorectal cancer. Cancer Prev Res; 8(7); 614–9. ©2015 AACR.
Risk of surgery for inflammatory bowel diseases has decreased over time: a systematic review and meta-analysis of population-based studies.

BACKGROUND & AIMS The inflammatory bowel diseases (IBDs) are chronic diseases that often require surgery. However, the risk of requirement of surgery over time has not been well characterized. We performed a systematic review and meta-analysis to establish the cumulative risk of surgery among patients with IBD and evaluated how this risk has changed over time. METHODS We searched Medline, EMBASE, PubMed, and conference proceedings (2009-2012) on May 8, 2013, for terms related to IBD and intestinal surgery. Two reviewers screened 8338 unique citations to identify 486 for full-text review. The analysis included population-based studies published as articles (n = 26) and abstracts (n = 4) that reported risks of surgery at 1, 5, or 10 years after a diagnosis of Crohn's disease and/or ulcerative colitis. The trend in risk of surgery over time was analyzed by meta-regression using mixed-effect models. RESULTS Based on all population-based studies, the risk of surgery 1, 5, and 10 years after diagnosis of Crohn's disease was 16.3% (95% confidence interval [CI], 11.4%-23.2%), 33.3% (95% CI, 26.3%-42.1%), and 46.6% (95% CI, 37.7%-57.7%), respectively. The risk of surgery 1, 5, and 10 years after diagnosis of ulcerative colitis was 4.9% (95% CI, 3.8%-6.3%), 11.6% (95% CI, 9.3%-14.4%), and 15.6% (95% CI, 12.5%-19.6%), respectively. The risk of surgery 1, 5, and 10 years after diagnosis of Crohn's disease and 1 and 10 years after diagnosis of ulcerative colitis has decreased significantly over the past 6 decades (P < .05). CONCLUSIONS Based on systematic review and meta-analysis of population-based studies, the risk of intestinal surgery among patients with IBD has decreased over the past 6 decades.
PUB 1 Interacts with the Receptor Kinase DMI 2 and Negatively Regulates Rhizobial and Arbuscular Mycorrhizal Symbioses through Its Ubiquitination Activity in Medicago truncatula 1

Institut National de la Recherche Agronomique, Laboratoire des Interactions Plantes-Microorganismes, UMR441, Castanet-Tolosan F-31326, France (T.V., S.C., C.C, C.R., F.D.C.-N., M.M., T.T., V.G., B.L., J.C., C.H.); Centre National de la Recherche Scientifique, Laboratoire des Interactions Plantes-Microorganismes, UMR2594, Castanet-Tolosan F-31326, France (T.V., S.C., C.C, C.R., F.D.C.-N., M.M., T.T., V.G., B.L., J.C., C.H.); and Institut National de la Recherche Agronomique-UMR1347-Agroecologie AgroSup/Institut National de la Recherche Agronomique/uB, Pôle Génétique & Ecophysiologie GEAPSI, 21065 Dijon France (R.T., C.L.)
Basic techniques for transgenesis.

A major change in biological research was heralded by the development of methods for the manipulation of the mammalian germ line. The ability to modify genes permits analysis of the control of gene expression and of the role of particular gene products at any period in the life cycle. In addition to advantages for research, there are commercial applications for these new procedures, particularly for farm animals. Two types of germ-line manipulation can be envisaged: gene transfer and gene modification. In the first case a gene (termed a transgene) is added to the genome, whilst in the second an existing gene is modified or destroyed. At present only gene transfer has been achieved in farm animals, but the recent isolation of embryo stem cells from livestock (Notarianni et al., 1990a, b) suggests that gene modification will become possible in these species as it is in mice. This paper will review the presently available methods of gene transfer and their limitations in livestock, before considering the mechanisms that regulate gene expression and the consequences these have for the design of functional transgenes and projects that involve modification to genes.
Managing Chaos in Nonlinear Economic Systems: Globalization and Destination Tourism

The logistic equation (Lorentz, 1963) has been advanced as an explanation of the chaotic growth patterns observed human settlements. It is questioned, however, whether the growth potential in population systems is sufficient for chaos. By modifying the logistic equation to account for the impact of globalization and agglomeration economies on small tourist destinations, Cole (2009a) demonstrates using data from the Caribbean that solutions and trajectories can replicate formal criteria for chaos. Theoretically, the reason for this, in addition to the availability of investment, demand, information, and labor (that alleviate the conventional restrictions on growth), is the demand and supply-side synergies between activities within a dynamic market-segmented sector. This chapter presents continuous and discrete solutions to the model and explains key findings for destination take-off, accelerated growth, and economic maturity, with a rule for modulating and managing chaos-prone economic systems.
A visualized framework for representing uncertain and incomplete temporal knowledge

This thesis presents a visualized framework, called Visual Time, for representing and reasoning about incomplete and uncertain temporal information. It is both expressive and versatile, allowing logical conjunctions and disjunctions of both absolute and relative temporal relations, such as “Before”, “Meets”, “Overlaps”, “Starts”, “During”, and “Finishes”, etc. In terms of a visualized framework, Visual Time provides a user-friendly environment for describing scenarios with rich temporal structure in natural language, which can be formatted as structured temporal phrases and modelled in terms of Time Relationship Diagrams (TRD). A TRD can be automatically and visually transformed into a corresponding Time Graph, supported by automatic consistency checker that derives a verdict to confirm if a given scenario is temporally consistent or inconsistent. The thesis provides the following contributions: 1. Extended graphical representation for uncertain and incomplete temporal knowledge: An extended graphical representation for uncertain and incomplete temporal knowledge based on [KM1992] is proposed, supporting both logical connectives ‘∧’ and ‘∨’. In Chapter 3, it is shown all the other logical connectives can be derively defined. 2. Time relation diagram (TRD): A time relation diagram (TRD) is designed for representing temporal relations between time elements which could be both point and interval. Each time element is denoted as a box consisting of three components: Name, Duration and Property. Temporal relations are denoted in terms of directed arcs. TRD allows expressions of both absolute and relative temporal relations, supporting both logical conjunctions and disjunctions. 3. A semi-automatic temporal information extractor: SUTime is a very useful tool for extracting verbs and temporal information [CM2012]. However, the extracted verbs and temporal information may play different roles when modelled by TRD. For example, in "He starts to start the car", "start" is an event while "starts" means the action "start" happens. An improved algorithm called Temporal Extractor algorithm (TE) is introduced in Section 4.2. Based on Stanford SUTime, TE can semi-automatically extract time elements and temporal relations from any arbitrary text to create a TRD. 4. Four algorithms: The first algorithm, Temporal Relation Algorithm (TRM), is designed to extract temporal relations from TRD. The second algorithm, Meets Table Algorithm (MTM) is introduced to convert all the extracted temporal relations into a Meets table. The third algorithm, Time Graph Algorithm (TGM) is described to draw the corresponding time graph of a given TRD. The fourth algorithm, Consistency Checking Algorithm (CCM), is designed to check the consistency of TRD. If the TRD is inconsistent, an audio verdict will alert and the corresponding time element(s) and natural texts will be marked in red colour.
Impact of Earning Per Share (EPS) on Share Price (Listed Manufacturing Companies in Sri Lanka)

The firm’s investment and financing decisions are unavoidable and continuous. In order to make them rationally, the firm must have a goal. It is generally agreed in theory that the financial goal of the firm should be shareholders’ wealth maximization as reflected in the market value of firm’s shares. ten manufacturing companies’ four year data (2009-2012) were taken on random sampling method for this study. Correlation and regression are used to find out the impact of earning per share on share price. Analyzed results revealed there is strong positive relationship between Earning per share and share price. Further earning per share can explain 89.7% on share price of ten sample manufacturing companies in Sri Lanka.
A Cloud Service Broker Based on Dynamic Game Theory for Bilateral SLA Negotiation in Cloud Environment

In recent years, with the development of cloud computing, more and more service providers appear, making the cloud computing market more open and competitive. However, it is difficult for service consumers to choose the most suitable service provider for their own, especially for the service providers to provide the best service in the negotiated price, while the service providers and the service consumers themselves can't automatically negotiate, thus in this paper, we propose a cloud service broker framework based on dynamic game theory for bilateral SLA negotiation in cloud environment, aiming for successful negotiation among participators. This paper also proposes a Nash equilibrium point and a satisfaction degree difference algorithm, aiming to find the optimal value of SLA attributes (price and bandwidth) at the minimum satisfaction degree difference among the participators. Experimental results show that the service consumers and the service providers are able to achieve the same satisfaction degree on price and bandwidth.
The impact of the visual merchandise display on consumer purchases of luxury brands : the moderating role of cultural capital

This thesis argues that Visual Merchandise Display (VMD) can enhance consumers intentions to buy luxury brands and this influence is stronger for the consumers with higher cultural capital (CC) than those with lower CC. Prior research in store atmospherics has suggested that consumers make inferences about a product, a store or a seller based on high-image or low-image store environment cues. Contemporary research in the luxury retailing literature explores qualitatively, the role of of museocological product presentation techniques in building and sustaining a luxury brand image. However, the extant literature does not consider that people can differ in their ability to decode or appreciate such display tecniques. This thesis builds on the emerging research in luxury retailing by investigating (empirically and quantitatively in four studies) the impact of VMD on consumer purchase intentions of luxury brands as well as the moderating role of the consumers CC. Furthermore, it attempts to explain this effect by adopting a consumer-style-of-processing approach, and it explores whether the consumers CC can determine their holistic or analytical way of processing of visual information in a retail context.
Trends in Server Energy Proportionality

Energy proportionality should be a key target in future server design. Although energy proportionality, as quantified by the proposed EP metric, has improved significantly in recent years, much more can be done to move systems closer to ideal energy proportionality. Toward this end, we are pursuing a workload characterization and large-scale system simulation methodology for advising data center system integrators to move toward cost and power-efficient infrastructures.
Training Artificial Neural Networks: Backpropagation via Nonlinear Optimization

In this paper we explore different strategies to guide backpropagation algorithm used for training artificial neural networks. Two different variants of steepest descent-based backpropagation algorithm, and four different variants of conjugate gradient algorithm are tested. The variants differ whether or not the time component is used, and whether or not additional gradient information is utilized during one-dimensional optimization. Testing is performed on randomly generated data as well as on some benchmark data regarding energy prediction. Based on our test results, it appears that the most promissing backpropagation strategy is to initially use steepest descent algorithm, and then continue with conjugate gradient algorithm. The backpropagation through time strategy combined with conjugate gradients appears to be promissing as well.
Understanding the Factors Affecting the Adoption of E-Marketing by Small Business Enterprises

The chapter builds on the current body of knowledge in the field of E-Marketing through a survey and organised systematic examination of the published work related to the Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT) and E-Marketing adoption by Small Business Enterprises. Furthermore, the chapter illustrates that although many E-Marketing adoption factors are driven from the literature of E-Marketing, as well as the technology adoption theories like TAM and IDT, only some of these factors are found to significantly affect the adoption of E-Marketing by Small Business Enterprises. This review and the results of the fieldwork research conducted by the authors will enable entrepreneurs, policy makers, students and practitioners to build a greater understanding of E-Marketing adoption in a small business context. Moreover, the chapter will help researchers and scholars in the field of E-Marketing to have a clearer view towards suitable future research studies in the field of E-Marketing that in turn will contribute to the related accumulated knowledge in the field.
Hotel travel recommendation based on blog information

In this paper, we presenting our proposed recommending hotels for the users based on the userexperience reviews in blog. Usually, hotel recommendation systems recommend hotels based on non-spatial attributes of hotels such as price and rating and do not utilize surrounding environments well. In contrast, we consider the existing of much information in blogs that have a substantial input of surrounding conditions. The information in the blog is useful as user review the hotel based on their experience and some information contains many pictures and video that can improve the hotel travel recommendation results. In this work the hotel recommendation provides the suggested hotel by learning the user's preferences. Each user's preference is used as a key t o f ind t he i nformation i n blogs. M eanwhile, t he ranking result for all blogs is filtered by users who rate each blog, in terms of whether or not they can find hotel information. Finally, results will be displayed based on the blog ranking.