Miracle-dz/UniFAR-FTUs huggingface dataset:
Epigenetic control of aquaporin 1 expression by the amyloid precursor protein

Cellular processing of the amyloid precursor protein (APP) has been extensively studied, but its precise function remains elusive. The intracellular domain of APP has been proposed to regulate expression of several genes by mechanisms that are largely unknown. We report that APP regulates expression of the aquaporin 1 (AQP1) gene in mouse embryonic fibroblasts and in transgenic mice. AQP1 mRNA and protein were down‐regulated in fibroblasts lacking APP or presenilin 2 in which AQP1 expression was restored by stable expression of full‐length APP or presenilin 2 but not by APP deleted from its carboxy‐terminal domain. The transcriptional activity of the AQP1 gene promoter and the stability of AQP1 mRNA were identical in fibroblasts expressing or not expressing APP. Control of AQP1 expression by APP was sensitive to trichostatin A, an histone deacetylase inhibitor, and histone deacetylase activity coimmunoprecipitated with APP. Altogether, these data show that a presenilin‐2‐ dependent γ‐secretase activity releases the intracellular domain of APP involved in the epigenetic control of AQP1 expression. Since AQP1 is found in astrocytes surrounding senile plaques, this epigenetic control of AQP1 expression could have important implications in Alzheimer disease. —Huysseune, S. , Kienlen‐Campard, P., Hébert, S. , Tasiaux, B. , Leroy, K. , Devuyst, O. , Brion, J.‐P., De Strooper, B. , Octave, J.‐N. Epigenetic control of aquaporin 1 expression by the amyloid precursor protein. FASEB J. 23, 4158‐4167 (2009). www.fasebj. org
Digital bonds in business relationships

Business relationships and networks have been studied intensively in business marketing literature, however still little is known about the influence of information technology (IT) on business relationships. The purpose of this paper is to investigate the influence of IT on the bonds that exists in the business relationships. Especially this paper focuses on what types of digital bonds are formed in business relationships and how different types of digital bonds (formed between active interaction in the relationship) can be managed. Literature review, conceptual analysis and mini case studies are employed. Based on the research it is argued that as a consequence of IT deployment in business relationships digital bonds are formed. A digital bond is a special type of bond that is formed in IT mediated interaction between companies and these bonds should be managed accordingly. Four types of digital bonds and managerial balancing strategies were identified based on the IT used and the importance of the relationship. The developed digital bond typology can be used to identify digital bond types and their possible influences on business relationships. Managers’ awareness of possible sources of digital bonding is increased and they are equipped with a digital bond typology which is a tool for balancing which can be used to make decision regarding different types of IT investment and development projects. The paper contributes to the business relationships literature in two-ways. First, it identifies different types of digital bond types that can be used to further understanding into how IT influences business relationships. Second, the paper shows how digital bonds can be balanced or even managed which is a pertinent for any business grounded research. Limitations and future research avenues are also discussed.
Molecular Characterization and Drug Resistance Patterns of Strains of Mycobacterium tuberculosis Isolated from Patients in an AIDS Counseling Center in Port-au-Prince, Haiti: a 1-Year Study

ABSTRACT Tuberculosis (TB) is one of the most common opportunistic diseases that appear among human immunodeficiency virus (HIV)-positive patients in Haiti. In this context the probable emergence of multidrug-resistant (MDR) strains of Mycobacterium tuberculosis is of great epidemiological concern. However, as routine culture of M. tuberculosis and drug susceptibility testing are not performed in Haiti, it has not been possible so far to evaluate the rate of drug resistance among M. tuberculosis isolates from circulating TB cases. This report describes the first study on the molecular typing and drug resistance of M. tuberculosis isolates from patients with culture-positive pulmonary tuberculosis monitored at the GHESKIO Centers in Haiti during the year 2000. Clinical, epidemiological, and drug susceptibility testing results were available for 157 patients with confirmed cases of TB, with a total of 8.9% of patients harboring MDR M. tuberculosis. A significant association between the occurrence of resistance and previous TB treatment was observed (P < 0.001), suggesting that a previous history of TB treatment was a risk factor associated with MDR TB in Haiti. The DNAs of individual isolates from 106 samples were available and were typed by spoligotyping and determination of the variable number of tandem DNA repeats. Both typing methods provided interpretable results for 96 isolates, and the clusters observed were further confirmed by ligation-mediated PCR to define potential cases of active transmission. Thirty-three (34%) of the isolates were found to be grouped into 11 clusters with two or more identical patterns. However, an assessment of risk factors (sex, HIV positivity, previous treatment, drug resistance) showed that none was significantly associated with the active transmission of TB. These observations suggest that acquired MDR TB is prevalent in Haiti and may be associated with compliance issues during TB treatment since prior TB therapy is the strongest risk factor associated with MDR TB. Prevention of TB transmission in Haiti should target active case investigation, routine detection of drug resistance, and adequate treatment of patients. The use of directly observed short-course therapy should be enforced throughout the country; and relapses, reactivations, or newly acquired infections should be discriminated by genotyping methods.
Luminescence efficiency of Lu2SiO5:Ce (LSO) powder scintillator for X-ray medical radiography applications

This work investigates the light emission efficiency of Lu2SiO5:Ce (LSO) powder scintillator under X-ray radiographic imaging conditions. Powder LSO scintillator has never been previously used in X-ray imaging. For the purposes of the present study three scintillating screens with coating thickness of 63.4, 108.4 and 172.5 mg/cm2, were prepared by sedimentation of LSO powder. Absolute luminescence efficiency (AE) measurements were performed in the radiographic X-ray tube voltages (40-140 kVp) range. Parameters related to X-ray detection, i.e. energy absorption efficiency and quantum detection efficiency were calculated. A theoretical model, describing radiation and light transfer, was employed to fit experimental data and to estimate values of the intrinsic conversion efficiency and the light attenuation coefficients of the scintillating screens. The spectral compatibility of the LSO powder scintillator to various radiographic optical detectors was determined by performing light emission spectrum measurements and by taking into account the spectral sensitivity of the optical sensors used in digital radiography detectors. LSO was found to exhibit higher X-ray energy absorption than currently employed scintillators (CsI:Tl and Gd2O2S:Tb) in the range from 40 to 70 kVp. AE was found to increase with X-ray tube voltage up to 110 kVp. Maximum AE (8.2 times 10-6 W middot s/mR middot m2) was observed for the screen of 172.5 mg/cm2.
CookieFlavors: Rapid Composition Framework for Tangible Media

We propose an effective design process for tangible media using a novel framework "CookieFlavors". CookieFlavors provides developers with some abstractions which hide cumbersome implementation phase to develop tangible media. Moreover the framework supports developers to do prototyping them easily. From three case studies to develop tangible media using our framework, we have confirmed our design process and derived some future works of our framework.
Technology Influence and Self-aspect on Blog Acceptance as a Teaching Medium for Islamic Education in Muslim Y Generation at IPTA

Blog has played an important role in spreading informations as it is not limited through time and space has made it as a reference medium for Islamic teaching and learning. Based on the digital and interactive criteria, the channel has became the favorite of all age groups especially Generation Y generation of Muslims as they are more likely to be compatible with the internet. The research is done to observe the acceptance of Generation Y Muslims on blog as an Islamic teaching medium. The important foundation that can be seen for the acceptance of blog are through the technology based criteria (competency and user friendly) and also the basic selfaspect criteria (knowledge on religion and self-efficacy). Based on the Technology Acceptance Model (TAM) which is also added to the development model, a research was done on the student body from 4 IPTA (public higher education institutes) which are UKM, USM. UTM and UMT. Some 464 students were chosen as the sample. Research result from multivariate analysis (MVA) through structural equation modelling (SEM) – Partial Least Square (Smart PLS) shows that blog acceptance was based on the efficient usage factors. While the basic Islam knowledge and self-efficacy played a role too. However, the competency factor as a teaching medium was found to be insignificant. Overall all of the factors conclude a 53.4 percent (R2 0.534). The research result helps in the theoretical development and present importance in applying preaching by the entire religious blog user the preacher and multimedia courseware developers and also the stakeholders in the section to grip the strategic direction for the infrastructure, establishing the administration and also increasing the online preaching system in Malaysia.
Activelec: an Interaction-Based Visualization System to Analyze Household Electricity Consumption

Everyone can now record and explore the evolution over time of his/her personal household electricity consumption. However understanding what links this data to our behavior remains a challenge. In this paper, we present a visualization tool based on the direct manipulation, by the users, of their behavior. Users can select and modify their actions over time, evaluating the results on the data with the visualization. We also conduct a user study, showing that our method allows users to understand the links between actions and data, and to use this knowledge in order to test and evaluate changes in their behavior.
The order of the ring: assembly of Escherichia coli cell division components

Topological cues appear to override temporal events in the assembly of the Escherichia coli cell division ring. When a procedure that allows the recruitment of ring components based on their topological properties is used, a concerted mode of assembly of several components of the divisome, rather than a strict linear mode, is revealed. Three multimolecular complexes, the proto‐ring, the periplasmic connector and the peptidoglycan factory, show some degree of concertation for their assembly. In addition, back‐recruitment of all late proteins except FtsN into the division ring occurs even in the absence of proteins incorporated at earlier stages, i.e. FtsA or FtsQ.
A New Space-Vector-Modulation Algorithm for a Three-Level Four-Leg NPC Inverter

For power conversion systems interfaced to four-wire supplies, four-leg converters have become a standard solution. A four-leg converter allows good compensation of zero-sequence harmonics and full utilisation of the dc-link voltage. These are very important features when unbalanced and/or nonlinear loads are connected to the system. This paper proposes a three-dimensional space vector modulation (SVM) algorithm and provides a comprehensive analysis of the algorithm implemented on a three-level, four-leg neutral-point-clamped converter. The algorithm allows a simple definition of the different switching patterns and enables balancing of the dc-link capacitor voltages using the redundancies of the converter states. A resonant controller is selected as the control strategy to validate the proposed SVM algorithm in a 6 kW experimental rig.
Image Partial Blur Detection and Classification

In this thesis, we propose a partially-blurred-image classification and analysis framework for automatically detecting images containing blurred regions and recognizing the blur types for those regions without performing blur kernel estimation and image deblurring. Our method attempts to tackle two major problems. One is blur detection with simultaneous extraction of blurred regions. The result in this step provides useful high-level regional information, facilitating a variety of region-based image applications, such as content-based image retrieval, object-based image compression, video object extraction, image enhancement, and image segmentation. It can also serve as one of the criteria of measuring the quality of the captured images. The second objective of our method is to automatically classify the detected blur regions into two types: near-isotropic blur (including out-of-focus blur) and directional motion blur. We classify image blur into these two classes because they are most commonly studied in the image restoration field. The classified blur images also easily find applications in motion analysis and image restoration. We develop several blur features modeled by image color, gradient, and spectrum information, and use feature parameter training to robustly classify blurred images. In our system, blur detection and blur type classification are achieved in two steps. First, blurred images with blurry regions are detected from the given images. In this step, we make use of a combination of three features, namely, Local Power Spectrum Slope, Gradient Histogram Span, and Maximum Saturation. Second, directional motion blurred regions are distinguished from out-of-focus blurred
Effect of Neural Network structure for daily electricity load forecasting

Accurate electricity demand forecasts are critical for daily operations planning. They influence many decisions, including commits to produce electricity for a given period. This paper presents a short term electricity demand forecasting system using the Artificial Neural Networks (ANNs). The model is trained and tested on 30-minutes historical load data with temperature from the Electricity Generating Authority of Thailand (EGAT) from January 1, 2012 to December 31, 2013. The ANNs use historical load data with temperature to forecast daily electricity demand in Thailand. Holidays, bridging holidays, and outliers of the raw data are detected and replaced. Historical load (previous day, previous week), forecasted day total load, forecasted day temperature, previous day temperature, calendar days (Day of week and Month), and whether the forecasted day is a holiday or not are used as input parameters. The forecasting performances are compared with Regression model. Best performance has shown with ANN.
Server Side Solutions For Web-Based Video

In contemporary video streaming systems based on HTTP protocol, video players at the client side are responsible for adjusting video quality to network conditions and user expectations. However, when multiple video clips are streamed simultaneously, an intricate application logic implemented in the video players overlays the TCP mechanism which is responsible for a balanced access to a shared network link. As a result, some video players may not obtain a fair share of network throughput and may be vulnerable to an unstable video bit-rate. Therefore, we propose to simplify the algorithms implemented in the video players, which are responsible for the adjustment of video quality and constrain their functionality only to sending feedback to a server about a state of the player buffer. The main logic of the system is shifted to the server, which is now responsible for bit-rate selection and prioritisation of the video streams transmitted to multiple clients. To verify our proposition, we performed several experiments in a laboratory environment which show that when the server cooperates with the clients, the video players experience fewer quality switches and the system achieves better fairness when allocating network throughput among the video players. However, this comes at the cost of worse utilisation of network bandwidth.
Event extraction for collective knowledge in multimedia digital EcoSystem

Emerging technologies like Internet and Web services enable a new form of collaboration. An Internet based collaborative environment allows actors with similar profile or interest to publish and share multimedia content. This results in the availability of massive, distributed, heterogeneous and fast-moving streamed multimedia content. In addition, most of the data in the Web describes events associated to people, activities and locations. An event describing a situation might be initiated by a user, followed by a number of users within a specified time period. Extracting events from user contributed multimedia content in collaborative environments is challenging due to three reasons: 1)the content is heterogeneous in source, size and format; 2)users might use different vocabulary to describe the same event; 3)the collaboration environment contains non-events. In this paper, we have proposed an event extraction approach that will be used to build an event-based collective knowledge management framework that assists the retrieval of multimedia contents from various social media sources. This approach is accompanied by experimental results with future works.
Online Learning via Differential Privacy

We explore the use of tools from differential privacy in the design and analysis of online learning algorithms. We develop a simple and powerful analysis technique for Follow-The-Leader type algorithms under privacy-preserving perturbations. This leads to the minimax optimal algorithm for k-sparse online PCA and the best-known perturbation based algorithm for the dense online PCA. We also show that the differential privacy is the core notion of algorithm stability in various online learning problems.
APAKAH DIVERSITAS GENDER MEMENGARUHI STRUKTUR MODAL? BUKTI EMPIRIS DI INDONESIA

The purpose of this study is to know the influence of gender diversity that proxied by the existance and proportion of female directors in a firm on capital structure that proxied by debt to asset ratio (DAR) and debt to equity ratio (DER). Sample of this study consists of 78 firms (384 observations) listed on Kompas100 Index between 2011 and 2015. Controlling for firm size, profitability (ROA) and asset growth , the result s show that 1)the existance of female on board of directors has positive and significant effect on DAR 2)female proportion on board of directors has no significant effect on DAR 3) the existance of female on board of directors has no significant effect on DER 4)female proportion on board of directors has no significant effect on DER
Methods for Calculation of Electrical Parameters of Microwave Devices with the Loaded Section of Two-Coupled Lines

The methods of electrical parameters calculation of microwave devices, in which construction is used the section of two-coupled transmission lines with the reactive loads from one side, are reported. The different phase shifters with the fixed insertion phase shift, digital phase shifter utilizing the commutable reactances, transforming and matching circuits and directional coupler are considered. The impedance transformation method and the symmetric four-pole properties are used at the derivation of formulas for electrical parameters calculation. The possibility to compensate the effect of discontinuities of input-line-to-coupled-line junction and also the effect of difference of even and odd mode phase velocities is provided.
Constitutive Differences in Gene Expression Profiles Parallel Genetic Patterns of Susceptibility to Tuberculosis in Mice

ABSTRACT Interstitial lung macrophages from tuberculosis-susceptible I/St and tuberculosis-resistant A/Sn mice demonstrated significant constitutive differences in gene expression levels, whereas in vitro infection of these cells with Mycobacterium tuberculosis had only a modulatory impact on gene expression. We conclude that intrinsic gene expression profiles are an important determinant of tuberculosis pathogenesis in mice.
Ambivalent Sexism Inventory: Adaptation to Basque Population and Sexism as a Risk Factor of Dating Violence

Abstract There is currently a consensus that sexism is one of the most important causes of intimate partner violence, but this has yet to be empirically demonstrated conclusively. The key objective of the study was to adapt Ambivalent Sexism Inventory (ASI) and to validate it to the Basque language. It also aims to analyze the prevalence of violence in dating relationships and verify if ambivalent sexism in young men and women is a valid predictor of perpetration and/or victimization in their dating relationships. Ambivalent Sexism Inventory and Dating Relationship Questionnaire were administered to 1378 undergraduate students (66% women and 45% Basque), aged between 17 and 30. The psychometric properties of the Basque and Spanish versions of the ASI are deemed to be acceptable. Sufficient guarantees are provided to be used as an instrument for measuring ambivalent sexism in adult Basque speakers. Ambivalent sexism among young men and women are both positively associated with the perpetration of violence and victimization in their dating relationships. However, ambivalent sexism or two sub-types of sexism (hostile and benevolent) are not relevant risk factors to be perpetrator or victim of violence in dating relationships, due to accounting for 3% or less of variance in dating violence.
Social Media Responsiveness in the Public Sector: A Study of Social Media Adoption in Three Functional Departments of U.S. Cities

Public administration research strongly supports the argument for administrator-citizen collaborations and shows that Web 2.0 social media tools have the potential to increase these collaborations. Some public managers have fully embraced the adoption of social media tools to their fullest collaborative potential while other managers have chosen to limit their full collaborative potential. This study examines four environmental influences to determine if they are the cause of the diverse levels of social media adoption among public administrators. A survey of 157 department managers from 261 large cities across the U.S. shows that 82% of the respondents are currently using some form of social media tools to engage citizens. The results show that perceived organizational influences and perceived administrator preconceptions of social media tools are having the greatest impact on the respondents’ decision to adopt social media. Provided that response rate bias is not occurring in this study, there are two possible explanations for the results. One possible explanation is that Web 2.0 social media adoption may be following a similar path as the adoption of earlier forms of Web 1.0 e-government tools. The other possible explanation is that managers may be operating within a rational environment when deciding whether or not to adopt Web 2.0 social media tools.