Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Pomegranate on Breast Cancer

Each person knows about Breast cancer these days, due to the fact that humankind witnesses countless organizations working for this sole purpose diligently every day. Periodically we meet or hear individuals struggling with this devastating category of cancer, which is particularly prevalent in women. According to the recent facts and figures from American Cancer Society about the number of deaths from breast cancer in US in 2013, among all ages, is approximately 39,620 [1]. The rate had increased 0.4% from 1975-1990. Nevertheless analyzing the mortality trend from 1990-2010, the death rate has been decreased to 34% [1]. Consequently, the known reason behind this decline is attributable to the improvements in our health care system in terms of treatment and in conjunction with the early detection of breast cancer. Discussing about the risks of having breast cancer, there are certain factors which cannot be modified that comprises sex, family history, age, early menarche, and late menopause. However, there are several factors which can be taken care of for instance abstinence from smoking and alcohol consumption, use of combination oral contraceptives, avoiding obesity, and increase the usage of vegetables and fruits in your diet [1]. Nevertheless, when populaces mention the dietary changes that can give an enormous benefit against cancer, the aforementioned will find a vast amount of natural products that have anti-cancer components. Numerous factors can halt the growth of the tumor inside our body; handful can prevent its spread. The emphasis and highlight will be benefits of pomegranate and its effects on breast cancer. A normal cell has a tendency to divide numerous times and subsequently stop by programmed cell death (apoptosis) when they are no longer needed. Conversely, a cancer cell loses its tendency to stop dividing, to attach to other cells, and to die by apoptosis. One of the reasons of breast cancer is the mutation in particular genes in our body which are linked to estrogen exposure. Multiple medical treatments have been used so far which were targeted towards the presence of estrogen(ER), progesterone (PR) and Her2/neu receptors on the cancer cells. These receptors are used to predict the prognosis of breast cancer treatment. Patients expressing these receptors have a promising prognosis, while those without them have an extremely poor prognosis [1-8]. Pomegranate has been utilized for years in traditional medicine in Indians’ ancient Ayurveda [3]. It was implemented for traditional remedy against diarrhea, dysentery, intestinal parasites, and it was acknowledged regarding its antioxidant effects [2,3]. Although there are few researches that have been done on the impact of its effects on breast cancer, I will attempt to cover the essentials of those researches. The antioxidant effect of pomegranate is due to the presence of 3 major anthocyanidins components which are delphinidins, cyanidin, and plargonidin. Effects of Pomegranate on Breast Cancer
Towards automating the discovery of certain innovative design principles through a clustering-based optimization technique

In this article, a methodology is proposed for automatically extracting innovative design principles which make a system or process (subject to conflicting objectives) optimal using its Pareto-optimal dataset. Such ‘higher knowledge’ would not only help designers to execute the system better, but also enable them to predict how changes in one variable would affect other variables if the system has to retain its optimal behaviour. This in turn would help solve other similar systems with different parameter settings easily without the need to perform a fresh optimization task. The proposed methodology uses a clustering-based optimization technique and is capable of discovering hidden functional relationships between the variables, objective and constraint functions and any other function that the designer wishes to include as a ‘basis function’. A number of engineering design problems are considered for which the mathematical structure of these explicit relationships exists and has been revealed by a previous study. A comparison with the multivariate adaptive regression splines (MARS) approach reveals the practicality of the proposed approach due to its ability to find meaningful design principles. The success of this procedure for automated innovization is highly encouraging and indicates its suitability for further development in tackling more complex design scenarios.
On the implementation of CC++

This paper presents a proposal for introducing concurrency to a sequential object-oriented programming language-C++, and discusses its implementation. The proposed language is called CC++. It distinguishes two categories of objects: process objects and class objects. Process objects are coarse-grain concurrent entities. Each process object has its own sequential control thread and an optional public interface accessible by other process objects. A set of process objects is synchronized and coordinated by a Remote Function Call (RFC) mechanism. Indeterministic RFC's are selected or sequenced by guarded function declarations. Important objectives of this design are simple syntax, clear semantics and strong expressive power. An experimental CC++ has been developed on a network of SUN workstations. This version consists of a preprocessor and a run-time system. The preprocessor translates a CC++ program into a C++ counterpart. The run-time system includes a process scheduler based on context-switch technique and an Inter-Process Communication (IPC) kernel. <<ETX>>
Establishing a neurocognition-based taxonomy of graphical variables for attention-guiding geovisualisation

It is a delicate task to design suitable geovisualisations that allow users an efficient visual processing of geographic information. In digital era, such a design task is confronted with a three-fold challenge: the ever growing amount of geospatial data at various granularity levels, the diversified applications and the continuously expanding range of display sizes. A geovisualisation system that strives for a high usability must satisfy the crucial prerequisite of immediately directing the user's gaze to the location of relevant geographic information and of easy decidability of the underlying semantic meanings. To this end, the cognitive skill of visual attention contributes to mnemonic and executive processes. Attention is indispensable for the visual selection. It facilitates the relevant information retrieval, processing and storage. On the basis of neurocognitive visual information processing, the paper addresses the interdisciplinary approach of attention-guiding design of geovisualisations with the intention to establish a taxonomy of scientifically testable variables. The authors try to relate attention-guiding attributes with graphical variables that cartographers apply to encode geographic information. The work is driven by the motivation to enhance the efficiency of geovisualisations and to enable a more precise neurocognition-based evaluation of geovisualisations.
Relative Threshold-Based Positioning Adaptive Algorithm for Real-Time Machine Vision

For the traditional machine vision, positioning algorithms are usually less efficient and more complex, the author proposes a relative threshold-based positioning algorithm for real-time machine vision. Firstly, the algorithm thresholds the template and sample images with a relative threshold. So it can not only effectively impact the influence of uniform illumination, but also reduce the volume of data. Then it uses the two-floor image pyramid method to greatly reduce the computation amount and uses the adaptive step method further to accelerate the matching speed. The algorithm nears to the object by the rough matching, and then navigates to the object center through a precise matching. While greatly improving the matching speed it ensures the accuracy. The experiments show that it can meet the real-time requirement.
Actualités sur la vitamine D

Le deficit et l’insuffisance en vitamine D, definis respectivement par des concentrations seriques de 25 hydroxyvitamine D (25OHD) inferieures a 20 ng/ml et entre 20 et 30 ng/ml, sont des situations tres frequentes qui sont associees a une augmentation du risque de developper differentes pathologies, pas seulement osseuses. Les effets d’une supplementation en vitamine D sur la diminution du risque de fractures et de chutes sont documentes par differentes etudes d’intervention. Les autres effets potentiels extra-osseux de la vitamine D sont principalement documentes par des etudes observationnelles et experimentales. Meme s’il n’existe pas encore de consensus sur les besoins en vitamine D, tous les experts s’accordent pour considerer que les AJR (200 UI/J en France) sont tres insuffisants et doivent etre augmentes. Cet article aborde successivement le metabolisme de la vitamine D et ses effets, la definition du statut vitaminique D basee sur la concentration serique de 25OHD, les indications du dosage de la 25OHD (qui ne doit pas etre prescrit a tout le monde) et propose des modalites de traitement.
Accelerating matrix product on reconfigurable hardware for image processing applications

Matrix multiplication is very important in many types of applications including image and signal processing. The suitability of reconfigurable hardware devices, in the form of field programmable gate arrays (FPGAs), is investigated as a low-cost solution for implementing two matrix multipliers for 3-D affine transformations and colour space conversion. A first solution based on processing large matrix multiplication, for large 3-D models, and for the evaluation of the Celoxica fixed-point library and Xilinx CoreGen performance has been reported. A novel architecture for efficient implementation of a colour space converter (CSC) based on distributed arithmetic (DA) principles has been presented. The two multipliers have been developed and implemented on the RC1000-PP Celoxica board-based development platform. Results show that the FPGA-based first parallel multiplier can achieve the performance of a graphics card when performing 3-D affine transformations, while the second multiplier, which is fully pipelined and platform-independent, has a low latency (8 cycles) and is capable of a sustained data rate of over 234 mega-conversions per second.
Implementation of Neural Networks using GPU

We present a new use of common graphics hardware to perform a faster artificial neural network. And we examine the use of GPU enhances the time performance of the image processing system using neural network, In the case of parallel computation of multiple input sets, the vector-matrix products become matrix-matrix multiplications. As a result, we can fully utilize the parallelism of GPU. Sigmoid operation and bias term addition are also implemented using pixel shader on GPU. Our preliminary result shows a performance enhancement of about thirty times faster using ATI RADEON 9800 XT board.
Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning

We investigate an application in the automatic tuning of computer codes, an area of research that has come to prominence alongside the recent rise of distributed scientific processing and heterogeneity in high-performance computing environments. Here, the response function is nonlinear and noisy and may not be smooth or stationary. Clearly needed are variable selection, decomposition of influence, and analysis of main and secondary effects for both real-valued and binary inputs and outputs. Our contribution is a novel set of tools for variable selection and sensitivity analysis based on the recently proposed dynamic tree model. We argue that this approach is uniquely well suited to the demands of our motivating example. In illustrations on benchmark data sets, we show that the new techniques are faster and offer richer feature sets than do similar approaches in the static tree and computer experiment literature. We apply the methods in code-tuning optimization, examination of a cold-cache effect, and detection of transformation errors.
Sensation of movement in virtual space

Our objective was to develop a compact system for training watchmen in their rounds, suitable for use on a standard computer. A virtual space was created by means of computer graphics. The most important aspect of learning the watchman's rounds is familiarization with the route, including distances, directions, and visual features. A method in which visual and aural cues were used to give a sense of traversing a distance equal to that in the real space is described. Tests showed that when the visual information included a simulation of the watchman (the “virtual user”) moving just ahead of the trainee and when a slight rolling of the visual field was used to simulate the motion of walking, the trainees had the sense of having covered a distance close to the actual distance represented in the simulation. © 1997 Scripta Technica, Inc. Electron Comm Jpn Pt 3, 80(6): 74–82, 1997
3D Mesh Streaming based on Predictive Modeling

The complexity in 3D virtual environment over the web is growing rapidly every day. This 3D virtual environment comprises a set of structure d scenes and each scene has multiple 3D objects/meshes. Therefore the granular level of the block in a virtual environment is the object. In a virtual environment, it is required to give user in teractions for every 3D object and at any point of time, it is enough if the system streams and brings in only the visible portion of the object from the server to the client by utilizing the limited netwo rk bandwidth and the limited client memory space. This streaming would reduce the time to present the rendered object to the requested clients. Further to reduce the time and effectively utilize the bandwid th and memory space, in the proposed study, an attempt is made to exploit the user interaction on 3D object and built a predictive agent which would minimize the latency in the rendering of the 3D mes h that is being streamed. The experiment result shows that the rendering time and cache miss rates are significantly reduced with the predictive agent .
Peer Coaching Implementation and Data-Collection Tools

"Whatdo you want me to focus on today when I watch your lesson," Stefan, a preservice teacher, asked his peercoaching partner? Chris replied without hesitation, "I still am not getting a full demonstration for each striking task I introduce. It's frustrating that I still talk my way through the task presentation. This week in methods class, Dr. Mills has been emphasizing a quality demonstration for each task when we use the reproductive teaching styles. Could you please code me specifically on demos so I can find out if I am including all of the components? " Stefan paged through his class notebook, "I'll use this Hamrick Demonstration System coding form we practiced with Dr. Mills last week. That should give us some good information. The form includes all parts of the demo the professors want us to use-providing both visual and verbal information, one to three skill cues, and using the proper equipment in the proper space. " While Stefan observed Chris teach the sixth-grade students a lesson on striking with rackets, it became obvious that Chris was not demonstrating striking across the net. He had a student help demonstrate how to hit continuously to a partner, but the demonstration didn't take place across the net. Chris wanted the children to strike continuously across the net, but he wasn't showing it thatway. Stefan made note of that omission on the coding sheet while continuing to observe and collect data on each of the next
Multiple-class identification algorithm using genetic neural networks

Multiple-class identification algorithm using genetic neural networks is presented. The algorithm uses a feedforward neural network so it is fast. The algorithm uses the Kohonen network to provide an unsupervised learning. The Kohonen network is used with Z-axis normalization. The weight initialization is done by genetic optimization to escape from local minima. The performance of the algorithm is evaluated using a confusion matrix method. The algorithm does not require the number of classes to be known a priori. It also provides a threshold selection method. An example is given to illustrate the application of the algorithm and to evaluate its performance.
Line Rendering Primitive

We observe that there is a gap between the two known primitives of point and triangle in representing and rendering 3D models or surfaces; that is, the line, in particular anti-alias line has yet to be studied. Our work is also motivated by the observation that while point is suitable for surfaces with high complexity and irregularity and triangle for regular surfaces, line is suitable for surfaces with regularity along one dimension (such as a cylindrical surface). Figure 2 shows an arm bone where lines or hybrid of lines and points can represent it concisely as most parts of its surface have regularity along one dimension. Without the line primitive, a surface with regularity along one dimension may need to be represented unfavourably by thin or fat triangles, many smaller triangles, or many points. Another view of this motivation is the compression that lines can provide. Given an arbitrary set of points, it may be possible to come up with heuristics to construct a set of lines which represents a larger set of points while maintaining a certain error measure.
Diagnostic efficacy of saliva for dengue - a reality in near future? A piloting initiative.

Background: Dengue, a mosquito-transmitted viral infection presents variable symptoms, including death. Due to their increasing incidences, early detection and improved diagnoses of severe cases are of prime importance. Currently, viral antigens and antibodies are detected by traditional serological tests. However, the introduction of oral fluid as an alternative, has led to many researches. Hence, this prompted us to carry out a pilot study to evaluate the diagnostic efficacy of saliva in detecting dengue antibody by using Enzyme Linked Immunosorbent Assay (ELISA). Aim and objectives: To evaluate the presence of Dengue antibody in saliva and its sensitivity and specificity through ELISA. Methodology and Results: Twenty seropositive patients and twenty seronegative patients of Dengue were considered individually. Saliva samples collected from these patients were subjected to ELISA test for detection of Dengue antibody. A sensitivity of 100% and a specificity of 100% were obtained for making a diagnosis of Dengue infection. Conclusion: Many studies have been conducted by utilizing saliva as a diagnostic tool, especially in western population. Its advantages over venipuncture are many, especially as it is less invasive, safe, less expensive and as it allows large numbers of samples to be collected easily for screening and epidemiological purposes. In a developing tropical country like India, such a diagnostic tool has to be encouraged. Further research necessitates the implementation of saliva as a diagnostic tool.
An SDMA system based on spatial covariances

The aim of SDMA is the channel reuse within a mobile radio cell through spatial filtering techniques exploiting the different directions of arrival (DOAs) of the user signals. The performance of high-resolution DOA estimation algorithms may suffer from model errors introduced by diffuse multipath propagation. We present a robust SDMA system concept based on the estimation of spatial covariance matrices rather than of DOAs, therefore being immune to phenomena like diffuse multipath and/or high angular spread.
Program audience duplication: A study of television inheritance effects

Inheritance effects, especially high levels of audience duplication between adjacent programs, are a widely observed but little understood feature of audience behavior. This study places inheritance effects within a theoretical model of television program choice that attributes the general phenomenon to underlying patterns of audience availability. The absolute level of audience duplication between adjacent programs broadcast on the same network is determined by the rating of each program, the structure of available program options, and similarities in program type.
Receiver buffer behavior for the selective repeat protocol over a wireless channel: An exact and large-deviations analysis

In this paper, we formulate and analyze a model of the resequencing buffer at the receiver's side for the Selective Repeat protocol over a general class of transmission channels. Thanks to its efficiency, Selective Repeat is a ubiquitous error control mechanism in many different settings, in particular in wireless protocols such as WiMax and WiFi. In view of the correlated nature of transmission errors over wireless channels, the receiver buffer model considers a general Markovian error process. We provide both an exact mathematical analysis of the receiver buffer behavior as well as a computationally efficient large-deviations result. An asymptotic analysis of the delay is also given. Numerical examples show that the correlation of the error process has an important influence on the performance of the receiver buffer.
Perspective écologique sur les déterminants de la vitalité cognitive des aînés

Résumé Le vieillissement cognitif demeure une réalité très hétérogène chez la population aînée. Des études ont récemment identifié certains facteurs pouvant contribuer à maintenir la santé cognitive des aînés. À ce jour, ces recherches ont principalement porté sur des déterminants individuels, notamment : les conditions de santé et les habitudes de vie. Une recension des écrits a été réalisée afin d’explorer les facteurs socio-environnementaux qui peuvent influencer la vitalité cognitive des aînés. Cette recension montre que les études qui ont examiné ce lien potentiel sont très rares. Seuls le type et le niveau socio-économique du quartier de résidence, ainsi que la taille du réseau social ont été identifiés comme facteurs d’influence. Par contre, des études ont montré que l’environnement pouvait moduler certaines habitudes de vie qui, à leur tour, peuvent influencer la cognition. Le présent article s’inspire d’une approche écologique afin d’illustrer des cibles individuelles et socio-environnementales de la promotion de la santé cognitive des aînés. Abstract Cognitive aging is a heterogeneous reality among the senior population. Studies have recently identified certain factors that may contribute to maintaining the cognitive health of seniors. To date, these research studies have primarily focused on individual determinants, namely: health conditions and lifestyle habits. A review of the literature was conducted in order to explore the socio-environmental factors that may influence the cognitive vitality of seniors. This review demonstrates that studies that have examined this potential link are very rare. Only the type and socioeconomic level of the neighbourhood of the residence, as well as the size of the social network, were identified as influential factors. However, studies have shown that the environment could modulate certain lifestyle habits which, in turn, can influence cognition. This article uses an ecological approach to illustrate individual and socio-environmental targets for the promotion of the cognitive health of seniors. Remerciements Cet article fait suite à un projet réalisé dans le cadre de la 62ième session de la Commission permanente de Coopération Franco-Québécoise 2009–2010, financée par le Ministère des Relations internationales du Québec.