Miracle-dz/UniFAR-FTUs huggingface dataset:
SIRT 1 Controls Acetaminophen Hepatotoxicity by Modulating Inflammation and Oxidative Stress

Aims: Sirtuin 1 (SIRT1) is a key player in liver physiology and a therapeutic target against hepatic inflammation. We evaluated the role of SIRT1 in the proinflammatory context and oxidative stress during acetaminophen (APAP)-mediated hepatotoxicity. Results: SIRT1 protein levels decreased in human and mouse livers following APAP overdose. SIRT1-Tg mice maintained higher levels of SIRT1 on APAP injection than wild-type mice and were protected against hepatotoxicity by modulation of antioxidant systems and restrained inflammatory responses, with decreased oxidative stress, proinflammatory cytokine messenger RNA levels, nuclear factor kappa B (NFjB) signaling, and cell death. Mouse hepatocytes stimulated with conditioned medium of APAP-treated macrophages (APAP-CM) showed decreased SIRT1 levels; an effect mimicked by interleukin (IL)1b, an activator of NFjB. This negative modulation was abolished by neutralizing IL1b in APAP-CM or silencing p65-NFjB in hepatocytes. APAP-CM of macrophages from SIRT1-Tg mice failed to downregulate SIRT1 protein levels in hepatocytes. In vivo administration of the NFjB inhibitor BAY 11-7082 preserved SIRT1 levels and protected from APAP-mediated hepatotoxicity. Innovation: Our work evidenced the unique role of SIRT1 in APAP hepatoprotection by targeting oxidative stress and inflammation. Conclusion: SIRT1 protein levels are downregulated by IL1b/NFjB signaling in APAP hepatotoxicity, resulting in inflammation and oxidative stress. Thus, maintenance of SIRT1 during APAP overdose by inhibiting NFjB might be clinically relevant. Rebound Track: This work was rejected during standard peer review and rescued by Rebound Peer Review (Antioxid Redox Signal 16: 293–296, 2012) with the following serving as open reviewers: Rafael de Cabo, Joaquim Ros, Kalervo Hiltunen, and Neil Kaplowitz. Antioxid. Redox Signal. 28, 1187–1208.
Crop Biotechnology for Africa : Who Will Gain From Adopting Bt Maize In Kenya ?

Bt maize in Kenya is a promising biotechnology innovation for poor households. Econometric prediction from a trait-based model of variety adoption indicates that the choice of host variety has equity and efficiency implications related to heterogeneity in maize growing environments and pest pressures, as well as the differences among farm households in terms of wealth, income, and market
Development of a Symmetric Waveguide T-Junction Power Divider with Equal-Phase Characteristic

─ An efficient method is proposed to design a versatile rectangular waveguide T-junction power divider without changing the length of either of the output branches for phase compensation. Instead, the phase balance is controlled by the widths of the output branches, which, in turn, help to achieve the same timeof-arrival of waves propagating to the two output ports. This method does not sacrifice the T-junction’s symmetric characteristic physically. Numerical analysis has been utilized to design several T-junction power dividers operating in Ku-Band with different power ratios, and results are compared with the measured ones to verify the design feasibility. Index Terms ─ Microwave power divider, rectangular waveguide, symmetric T-junction, wideband.
TOURISMOS: AN INTERNATIONAL MULTIDISCIPLINARY JOURNAL OF TOURISM

In tourist marketing and branding strategies considering residents’ perceptionsis essential as promotional actions must convey an image that adequately represents the place and its inhabitants. This research considers that a destination brand cannot be successful if the residents’ perspective is not taken into account. Thanks to a quantitative study of the case of Zaragoza (Spain), a model of research is presented to analyse the residents’ brand attitude, perception of usefulness, and perceived image. The results confirm that the inhabitants’ attitude is the main variable to get a good destination image through a place branding strategy, which will depend on the brand’sperceived usefulness. Thus, the present paper verifies the importance of considering residents’ perspective in destination image managementdue to they are both the first producers and consumers of their own place image.
Taux quotidiens d’inhalation et paramètres cardio-pulmonaires chez l’humain selon les données publiées en rapport au double marquage des molécules d’eau pour l’analyse du risque

The aim of the present study is to determine some respiratory and cardiovascular parameters in subjects of all ages for use, as physiological inputs, in toxicokinetic simulations and toxic risk assessment. The database used is taken from the literature. Data of interest include basal energy expenditures and total daily energy expenditures obtained by indirect calorimetry and doubly labeled water measurements respectively. Depending upon the unit value chosen, the highest 99 percentiles for daily inhalation rates were found in overweight/obese females 11 to 55 years old during their 36 weeks of pregnancy (47.31 m/day), as well as in normal-weight boys aged 2.6 to less than 6 months (1.138 m/kg-day) and 10 to less than 16.5 years (22.29 m/m-day). Generally higher values for the 2.5 up to 99 percentile were found in normal-weight children and teenagers aged 5 to less than 16.5 years compared to those for older individuals: minute ventilation rate, 0.132 to 0.774 L/kg-min or 4.42 to 21.69 L/m-min versus 0.076 to 0.461 L/kg-min or 2.80 to 16.99 L/m-min; alveolar ventilation rate, 0.093 to 0.553 L/kg-min or 3.09 to 15.53 L/m-min versus 0.047 to 0.312 L/kg-min or 1.73 to 11.63 L/m-min; cardiac output, 0.065 to 0.330 L/kg-min or 2.17 to 9.46 L/m-min versus 0.045 to 0.201 L/kg-min or 1.63 to 7.24 L/m-min; ventilation-perfusion ratio, 1.12 to 2.16 versus 0.78 to 2.40. Higher intakes of air pollutants by the respiratory tract expressed in g/kg-min or g/m-min are expected in children compared to older individuals for identical exposure concentrations. The same conclusion is reached in pregnant and lactating females compared to male subjects of same ages, for intakes expressed per unit of bodyweight. The aggregate results obtained notably suggests that NOAELH values from Health Canada could be decreased by a factor of 2.6 by the use of the highest
An Implicit Representation of Spherical Product for Increasing the Shape Variety of Super-quadrics in Implicit Surface Modeling

— Super-quadrics can represent a set of implicit surfaces, which can be used furthermore as primitive surfaces to construct a complex object via Boolean set operations in implicit surface modeling. In fact, super-quadrics were developed to create a parametric surface by performing spherical product on two parametric curves and some of the resulting parametric surfaces were also represented as implicit surfaces. However, because not every parametric curve can be redefined implicitly, this causes only implicit super-elliptic and super-hyperbolic curves are applied to perform spherical product and so only implicit super-ellipsoids and hyperboloids are developed in super-quadrics. To create implicit surfaces with more diverse shapes than super-quadrics, this paper proposes an implicit representation of spherical product, which performs spherical product on two implicit curves like super-quadrics do. By means of the implicit representation, many new implicit curves such as polygonal, star-shaped and rose-shaped curves can be used to develop new implicit surfaces with a greater variety of shapes than super-quadrics, such as polyhedrons, hyper-ellipsoids, super-hyperboloids and hyper-toroids containing star-shaped and rose-shaped major and minor circles. Besides, the newly developed implicit surfaces can also be used to define new primitive implicit surfaces for constructing a more complex implicit surface in implicit surface modeling.
Privacy Modelling Computation and Management for Assisted Living within Smart Homes

Ambient Assisted Living (AAL) technologies create intelligent systems to assist the aging population for a healthier and safer life in their living environment. Such systems usually offer context-aware, personalized and adaptive services. However, these kinds of systems make extensive and intensive use of personal data, which makes privacy protection a critical issue. In this paper, we propose a framework for privacy modeling computation and management for AAL within Smart Homes. We analyze the privacy features in the smart home that affect the privacy of the users. Based on these features a metric is developed to compute the sensitivity of the collected information and consequently the potential privacy risk. A simple implementation of the proposed framework is then applied to a real world smart home living environment at Great Northern Haven, in which data were collected and the framework was evaluated. This study offers an effective and practical approach to evaluate the privacy risk of users and proposes a metric that can be used for access control and recommendation of privacy settings to the users of the AAL environments.
Optimization Mapping for Deep Learning

The growing importance of deep learning has driven its deployments in extensive application scenarios and environments, and hence led to diversified optimizations through both customized hardware and novel model algorithms. However, this introduces burden for developers to incorporate these specific optimizations into existing models. We propose an optimization mapping framework that isolates the algorithm expressions from customized optimizations through providing a data flow graph based pattern representation and automatic pattern matching to map sub-graphs of deep learning computation to optimized implementations. The preliminary results on TensorFlow [6] show that optimization mapping can automatically identify a multi-layer Long Short Term Memory (LSTM) model from the data flow graph of applications and replace it with a cuDNN [9] based LSTM operator, resulting in 4.12x performance improvement.
Analysis of Ultimate Bearing Capacity of Single Pile Using the Artificial Neural Networks Approach : A Case Study

Degree of certainty, accuracy, complexity, and non-linearity are things that are adhere to geotechnical problems. Solutions using conventional approaches, although were still used in geotechnical problems require a large number of assumptions for the determination of geotechnical parameters. Currently new approaches emerge, including the "artificial intelligence", one of which is a neural network (NN). This study aims to apply NN model for prediction of ultimate bearing capacity of single pile foundation, was named NN_Qult model. The results of analysis model were then compared with Meyerhof, 1976 and Briaud ,1985 formulas. At the stage of modeling, data from full-scale pile load test and SPT were used. The selected input variables are: d (pile diameter), L (length of the pile embedded), the N60 (shaft) value, and the N60 (tip) value. The study generates design Charts that are expected to predict the ultimate bearing capacity of a single pile foundation. The results showed that neural networks can be used for prediction of ultimate bearing capacity of single pile foundation. This is particularly due to the sensitivity analysis results indicated the suitability of artificial neural network model with existing theories. RÉSUMÉ : Degré de certitude, précision, complexité et non-linéarité sont des difficultés inhérentes aux problèmes géotechniques. Les approches conventionnelles, bien que toujours utilisées dans les problèmes géotechniques nécessitent un grand nombre d'hypothèses pour la détermination des paramètres géotechniques. Actuellement de nouvelles approches émergent, notamment « l'intelligence artificielle », dont l'une des formes est le réseau de neurones (NN). Cette étude vise à utiliser le modèle de réseau de neurones pour la prévision de la capacité portante ultime de fondation sur pieu unique, elle a été dénommée le modèle NN_Qult. Les résultats du modèle d'analyse ont ensuite été comparés avec les formules de Meyerhof, 1976 et de Briaud, 1985. Lors de l'étape de la modélisation, des données provenant d’essai de chargement de pieux grandeur nature et de données SPT ont été utilisées. Les paramètres retenus sont les suivants: d (diamètre du pieu), L (longueur du pieu), les valeurs N60 (frottement latéral et résistance de pointe). L'étude a abouti à des graphiques de conception prévus pour prédire la capacité portante ultime d'une fondation sur pieux unique. Les résultats ont montré que les réseaux neuronaux peuvent être utilisés pour la prédiction de la capacité portante ultime de fondation sur pieu unique. Cela est notamment dû aux résultats de l'analyse de sensibilité qui a indiqué la cohérence du modèle de réseau de neurones artificiel avec les théories existantes.
RADATION IN PATIENTS UNDERGOING TREATMENT FOR CANCER

(75) Inventors: Charles W. Scarantino, Raleigh, NC (US); H. Troy Nagle, Durham, NC (US); Lester C. Hall, Hollywood, FL (US); Jeffrey Mueller, Winston Salem, NC (US); Bahram G. Kermani, Los Altos, CA (US) (73) Assignees: North Carolina State University, Raleigh, NC (US); Sicel Technologies, Inc., Morrisville, NC (US) Subject to any disclaimer, the term of this patent is extended or adjusted under 35 U.S.C. 154(b) by 1434 days. (*) Notice:
endocarditis following diagnostic gastroscopy septicaemia and pacemaker-lead-associated Staphylococcus aureus Recurrent methicillin-resistant

http://gut.bmj. com/content/59/2/277.2. full.html Updated information and services can be found at: These include: References http://gut.bmj. com/content/59/2/277.2. full.html#ref-list-1 This article cites 9 articles, 4 of which can be accessed free at: service Email alerting right corner of the online article. Receive free email alerts when new articles cite this article. Sign up in the box at the top Notes
Radiation damage buildup by athermal defect reactions in nickel and concentrated nickel alloys

Wedevelop a newmethod using binary collision approximation simulating the Rutherford backscattering spectrometry in channeling conditions (RBS/C) frommolecular dynamics atom coordinates of irradiated cells. The approach allows comparing experimental and simulated RBS/C signals as a function of depth without fitting parameters. The simulated RBS/C spectra of irradiated Ni and concentrated solid solution alloys (CSAs, NiFe and NiCoCr) show a good agreement with the experimental results. The good agreement indicates the damage evolution under damage overlap conditions in Ni and CSAs at room temperature is dominated by defect recombination and migration induced by irradiation rather than activated thermally.
Different Techniques of Data Hiding in Multimedia

: There has been an explosive growth of the World Wide Web which has become the primal source of communication. As the number of users of Internet facilities is increasing, privacy of their data becomes of paramount importance. Therefore, it is crucial to ensure that big data does not pose security concerns for its users or violate the privacy of individuals. Several techniques have been proposed to protect and preserve the data from unwanted and unauthorized access. Data hiding is one such technique where the data to be communicated is hidden in order to protect it from intruders. This survey paper aims to present a review of different data hiding techniques like steganography, digital watermarking.
Influence of compartmentalisation in blood upon oral carriage of HCV in Brazilian patients from the city of Recife - Brazil

Hepatitis C virus (HCV) is an increasingly common cause of liver disease worldwide. HCV may be present in saliva suggesting possible transmission via oral fluids. However the precise influence of peripheral blood carriage of HCV upon the frequency and load of HCV in oral fluids remains unknown. The objectives of the study were to determine the frequency of oral carriage of HCV and determine the influence of plasma and peripheral blood mononuclear cells (PBMCs) HCV levels upon HCV levels in oral fluids. The study group comprised 85 patients with treated (18) or untreated (67) HCV infection resident in northern Brazil. HCV 5’-NCR and NS5b regions were detected by quantitative Real Time PCR and nested block based PCR respectively in whole saliva, plasma, CD2+, CD14+, CD19+, and CD45+ PBMCs for both methods. Approximately 32% of the total group had detectable HCV RNA in whole saliva. In contrast HCV was present in 82.5% of plasma and up to 82.1% of PBMC. There was no significant difference in the genotypes between oral and blood compartments and no evidence of genetic diversity within the oral compartment. There was no correlation between the salivary prevalence of HCV with load of plasma. HCV RNA viral load in saliva was almost always below the level of quantification. Given the low viral load presented in patient with a high plasma titration in the 30% saliva positive patients, HCV transmission via the saliva is highly unlikely, but cannot be discarded. There is no evidence for HCV compartmentalization as sequences from different compartments were closely related, although mutations were identified more frequently within genotype 1b in all compartments. This finding suggest a new trend towards hepatitis C evolution, as genotypes 1a and 1b do not usually differentiate in terms of treatment outcome, being both traditionally related to poor antiviral response.
User Behavior Recovery via Hidden Markov Models Analysis

In this report, we propose a method for user-behavior profiling and user-intention prediction based on Hidden Markov Models. User behavior is described by a sequence of user-actions. Note that there is no strict correspondence assumption between action order and user purpose or business process. On the contrary, we assume actions characterizing a purpose or a business process will have order variations or be interleaved with actions emerging from different purposes. The statistical nature of user behavior and the partial order assumption fit the statistical Hidden Markov Model. Different models are trained for different user profiles or to predict predetermined behavior types. Prediction can be incorporated with other predictors in a maximum likelihood setting. The proposed technique is generic and can be applied to profiling of any given number of (predefined) profiles. The only assumption is that profiles are characterized by different dynamics. The method was successfully applied in a twogroup scenario to actions on HP.COM for predicting eventual purchase. The motivation being that the preferred type of offers (similar products vs. accessories) depend on whether a shopper is just window shopping or in a purchase process. External Posting Date: August 2, 2016 [Fulltext] Internal Posting Date: August 2, 2016 [Fulltext]  Copyright 2016 Hewlett Packard Enterprise Development LP User Behavior Recovery via Hidden Markov Models
Current Challenges for Studying Search as Learning Processes

Search of resources and information is among the most frequent activities on the Web. While established information retrieval approaches address the relevance of search results to an information need, the actual learning scope of a user is normally disregarded. Recent research in the search as learning (SAL) area has recognized the importance of learning scopes and focused on observing and detecting learning needs. The article at hand takes a critical look at existing works in SAL and related research disciplines. It aims to give a concise, interdisplinary overview which allows for the deduction of possible directions and necessary actions for prospective research works. It becomes apparent that past research employs a strong emphasis on textual resources, neglecting the diversity of online multimedia contents for learning and the impact of multimodal features on the learning process. We argue that exploring multimodal learning resources should be one focus of future SAL projects.
Test Data Generation For Event Sequence Graph

The widespread use of computer is largely contributed by the Graphical User Interface(GUI) which provides easy to use communication interface between humans and computers. GUIs provide support for building more complex softwares by hiding its complexity from the user. This is achieved by ensuring user friendly environment where the user does not require to know commands to operate the software applications. To ensure the flexibility of end user a set of GUI component has been invented for building simple to complex user interface according to the requirements of the application. With the growing complexity of softwares, GUIs have become more complex involving both GUIs and underlying software testing.This is because GUIs have different characteristics than traditional softwares and consequently conventional testing techniques do not apply to GUI softwares. As a result, many testing frameworks and tools have been developed in recent years based on different testing technique for testing GUI. Although these tools have different approaches to testing (such as manual, semi automatic, and automatic), their main purpose remains the same i.e., to test the GUI and detect faults.GUI testing has become an integral part of the GUI development process as GUIs got more and more complex. Regardless of this fact no empirical study has been made to compare fault-detection ability of different GUI testing frameworks. Therefore, their contribution to the development process is still unknown. To provide an insight into the problem, this thesis presents the empirical study of fault-detection effectiveness between manual and automated GUI testing techniques based on two different frameworks. In this paper several questions have been answered through empirical study. At first the code-coverage ability of manual GUI testing framework jfcUnitis discussed. Then the fault-detection effectiveness of these test cases with automatically generated test cases using Event Interaction Graph is compared. Several applications have been tested through test cases. Realistic faults have been seeded to measure their faultdetection ability. A comparison has been made to illustrate their effectiveness.
MODERATING EFFECT OF FIRM SIZE ON THE RELATIONSHIP BETWEEN FINANCIAL LEVERAGE AND FINANCIAL PERFORMANCE OF NON-FINANCIAL FIRMS LISTED IN THE NSE , KENYA *

Performance of non-financial firms is perceived to be influenced by firm size and financial leverage among other factors based on the theory of economies of scale. Most studies carried out in Kenya focused on financial firms and single set of performance measures hence, limited knowledge on the combined synergetic effect of accounting and market based measures of performance for nonfinancial firms. This study therefore sought to establish the moderating effect of firm size on the relationship between financial leverage and financial performance of non-financial firms listed in Nairobi Securities Exchange (NSE) using accounting based and market based measures of performance (ROE and Tobin’s) and panel methodology. The study used a correlation research design. The target population was 47 non-financial firms listed at NSE between 2012 and 2018 where 28 firms were purposively sampled and pooled for 7 years to obtain 196 firm year observations. Firm size is a significant positive predictor of performance (ROE), β = 0.0972 (P = 0.0196) and Tobin’s Q, β = 0.0578 (P = 0.0006) meaning a unit change in firm size leads to a significant increase in ROE and Tobin’s Q of 0.0972 and 0.0578, respectively. Model coefficient interaction term was negative but significant for (ROE) β = -. 0368563, (p = 0.001) and Tobin’s Q, β = -. 0368563), (p = 0.001) implying that firm size negatively moderates the relationship between financial leverage and performance. The study concludes that firm size moderates the relationship between financial leverage and financial performance. The study recommends that management of the non-financial firms listed at NSE should take into consideration the size of their firms in making leverage choices since firm size moderates this relationship negatively.