Miracle-dz/UniFAR-FTUs huggingface dataset:
Rats Late Treatment With Ramipril Increases Survival in Old Spontaneously Hypertensive

Spontaneously hypertensive rats (SHR) begin to die from cardiovascular complications at '15 months of age. We tested whether chronic ACE-inhibitor treatment would extend the lifespan of such old animals. We also studied cardiac hypertrophy and function, endothelial function and expression, and activity of NO synthase (eNOS). One hundred 15-month-old SHR were randomized into 3 groups, control (n 510), placebo-treated (n 545), and ramipriltreated with an antihypertensive dose of 1 mg z k 21 z d in drinking water (n545). Ex vivo experiments were performed after 15 months (control) and 21 months, when '80% of the placebo group had died. Late treatment with ramipril significantly extended lifespan of the animals from 21 to 30 months. Fully established cardiac hypertrophy, observed in placebo-treated animals and in controls, was significantly reversed by ramipril treatment. In isolated working hearts, a significantly improved function associated with increased cardiac eNOS expression was seen versus placebo and control hearts. Endothelial dysfunction in isolated aortic rings from control and placebo-treated SHR was significantly improved by ACE inhibition and associated with enhanced NO release. Late treatment of SHR with the ACE inhibitor ramipril extended lifespan from 21 to 30 months, which is comparable to the lifespan of untreated normotensive Wistar-Kyoto rats. This lifespan extension, probably due to blood pressure reduction, correlated with increased eNOS expression and activity followed by a regression of left ventricular hypertrophy and cardiac and vascular dysfunction. (Hypertension. 1999;34:291-295.)
SDP and Lovász theta function

Let’s begin slowly by defining some notational conventions and by stating some basic things that will be assumed without proof. All vectors in these notes will be regarded as column vectors, indexed either by the vertices of a graph or by integers. The notation x ≥ y, when x and y are vectors, will mean that xv ≥ yv for all v. If A is a matrix, Av will denote column v, and Auv will be the element in row u of column v. The zero vector and the zero matrix and zero itself will all be denoted by 0. We will use several properties of matrices and vectors of real numbers that are familiar to everyone who works with linea algebra but not to everyone who studies graph theory, so it seems wise to list them here:
Fast topic discovery from web search streams

Web search involves voluminous data streams that record millions of users' interactions with the search engine. Recently latent topics in web search data have been found to be critical for a wide range of search engine applications such as search personalization and search history warehousing. However, the existing methods usually discover latent topics from web search data in an offline and retrospective fashion. Hence, they are increasingly ineffective in the face of the ever-increasing web search data that accumulate in the format of online streams. In this paper, we propose a novel probabilistic topic model, the Web Search Stream Model (WSSM), which is delicately calibrated for handling two salient features of the web search data: it is in the format of streams and in massive volume. We further propose an efficient parameter inference method, the Stream Parameter Inference (SPI) to efficiently train WSSM with massive web search streams. Based on a large-scale search engine query log, we conduct extensive experiments to verify the effectiveness and efficiency of WSSM and SPI. We observe that WSSM together with SPI discovers latent topics from web search streams faster than the state-of-the-art methods while retaining a comparable topic modeling accuracy.
Fe b 20 04 Coupling Poisson and Jacobi structures on foliated manifolds by Izu Vaisman

Let M be a differentiable manifold endowed with a foliation F . A Poisson structure P on M is F -coupling if ♯P (ann(TF)) is a normal bundle of the foliation. This notion extends Sternberg’s coupling symplectic form of a particle in a Yang-Mills field [11]. In the present paper we extend Vorobiev’s theory of coupling Poisson structures [16] from fiber bundles to foliated manifolds and give simpler proofs of Vorobiev’s existence and equivalence theorems of coupling Poisson structures on duals of kernels of transitive Lie algebroids over symplectic manifolds. Then we discuss the extension of the coupling condition to Jacobi structures on foliated manifolds. The symplectic structure that describes the coupling of a particle and a field was discovered by S. Sternberg [11] (for more details, see [3]). In [16] Sternberg’s symplectic form is extended to a general notion of a coupling Poisson structure on a fiber bundle and the coupling Poisson structures are used to get information about any Poisson structure in the neighborhood of a symplectic leaf. In the present paper we reprove Vorobiev’s results in the context of foliated manifolds and we extend the coupling condition to Jacobi structures. In particular, we give simpler proofs for Vorobiev’s existence and equivalence theorems of coupling Poisson structures on duals of kernels of transitive Lie algebroids over symplectic manifolds. The motivation for studying Poisson and Jacobi structures on a foliated manifold comes from 2000 Mathematics Subject Classification: 53D17.
Obsidian: A scalable and efficient framework for NetFlow obfuscation

Through this software the authors aim to promote the sharing of network logs within the research community. The (k, j)obfuscation technique opens sundry interesting future directions. In fact, many networking and security tasks can be re-thought based on obfuscated datasets, for instance, quality of service (QoS), traffic classification, anomaly detection and more.
Support vector machines/relevance vector machine for remote sensing classification: A review

Kernel-based machine learning algorithms are based on mapping data from the original input feature space to a kernel feature space of higher dimensionality to solve a linear problem in that space. Over the last decade, kernel based classification and regression approaches such as support vector machines have widely been used in remote sensing as well as in various civil engineering applications. In spite of their better performance with different datasets, support vector machines still suffer from shortcomings such as visualization/interpretation of model, choice of kernel and kernel specific parameter as well as the regularization parameter. Relevance vector machines are another kernel based approach being explored for classification and regression with in last few years. The advantages of the relevance vector machines over the support vector machines is the availability of probabilistic predictions, using arbitrary kernel functions and not requiring setting of the regularization parameter. This paper presents a state-of-the-art review of SVM and RVM in remote sensing and provides some details of their use in other civil engineering application also.
An Approach for Building a Semi-automatic Online Consultancy System

This study proposes an approach for building a semi-automatic consultancy (question-answering) system via mobile/Internet networks. This approach is a combination of natural language (text) processing and machine learning method. For building the system, at first, we need to build modules for sending and receiving messages via SMS/Email/Webpage. These modules are used for users to send/receive their questions that need to be consulted. While waiting for answering from the system, the user will be recommended similar questions which have been answered in the past by using Cosine similarity. Next, a message classification module is built using a combination of text processing (e.g., word segmentation, stop word deletion) and machine learning method (e.g., SVM). Finally, a whole web-based system is conducted to integrate these modules. The proposed approach is applied for a case study of consulting on Vietnam National Entrance Test, which is an important test for the pupils to get into universities. Initial results show that the system can automatically classify the questions at 82.33% of accuracy, thus, this approach could be promising for (semi) automatic online consultancy systems.
AI and Automatic Music Generation for Mindfulness

This paper presents an architecture for the creation of emotionally congruent music using machine learning aided sound synthesis. Our system can generate a small corpus of music using Hidden Markov Models; we can label the pieces with emotional tags using data elicited from questionnaires. This produces a corpus of labelled music underpinned by perceptual evaluations. We then analyse participant’s galvanic skin response (GSR) while listening to our generated music pieces and the emotions they describe in a questionnaire conducted after listening. These analyses reveal that there is a direct correlation between the calmness/scariness of a musical piece, the users’ GSR reading and the emotions they describe feeling. From these, we will be able to estimate an emotional state using biofeedback as a control signal for a machine-learning algorithm, which generates new musical structures according to a perceptually informed musical feature similarity model. Our case study suggests various applications including in gaming, automated soundtrack generation, and mindfulness.
A Kind of Efficient Data Archiving Method for Historical Sensor Data

Nowadays there are more than 10 billion sensors in the Internet of Things. These sensors will produce a mass of historical data as time goes on. And these data are useful in data mining and may create great value for human. However, historical sensor data are hard to archive because they have the characteristics of mass, complexity, isomerism and dynamic nature. Therefore, how to archive historical sensor data to storage efficiently is a meaningful issue deserved to study. In this paper, an efficient data archiving method is proposed. It mainly focuses on three aspects: memory allocation strategy, data compression technique and data storage structure. This method not only considers the efficiency of each aspect but also the combination of each aspect in order to ensure the high efficiency of whole data archiving method.
Please Scroll down for Article Scandinavian Actuarial Journal Continuity Estimates for Ruin Probabilities Continuity Estimates for Ruin Probabilities and Deimante Rusaityte

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. A method of continuity analysis of ruin probabilities with respect to variation of parameters governing risk processes is proposed. It is based on the representation of the ruin probability as the stationary probability of a reversed process. We apply Kartashov's technique designed for continuity analysis of stationary distributions of general Markov chains in order to obtain desired continuity estimates. The method is illustrated by the Sparre Andersen and Markov modulated risk models.
SpRL-CWW: Spatial Relation Classification with Independent Multi-class Models

In this paper we describe the SpRL-CWW entry into SemEval 2015: Task 8 SpaceEval. It detects spatial and motion relations as defined by the ISO-Space specifications in two phases: (1) it detects spatial elements and spatial/motion signals with a Conditional Random Field model that uses a combination of distributed word representations and lexicosyntactic features; (2) given relation candidate tuples, it simultaneously detects relation types and labels the spatial roles of participating elements by using a combination of syntactic and semantic features in independent multi-class classification models for each relation type. In evaluation on the shared task data, our system performed particularly well on detection of elements and relations in unannotated data.
Political Backlash and Implications to the Women's Civil Rights Movement Focusing on Sport and Athletic Opportunities for Women.

ABSTRACT An overview is presented of the political struggle for equal rights for women athletes. Discussed is the role of the National Collegiate Association for Athletics (NCAA), which has been against increased intercollegiate and interscholastic athletic opportunities for women. The genesis of the Fourteenth Amendment (Title VII of the Civil Rights Act of 1964) prohibiting discrimination based on sex is also discussed, and subsequent court litigation over rulings peripheral to the intent of Title VII are recounted. Descriptions are given of the gradual polarization of points of view on womens' athletics, and the growth of opposition in the federal government to affirmative action in cases involving civil rights. It is pointed out that an increasing tendency to view athletic programs as corporate sports and business enterprises rather than educational experiences is detrimental to womens' athletic programs. (JD)
224 COMMENTARY WE ALSO NEED COMPLETE BEHAVIORAL MODELS

I am very pleased to see Donahoe, Palmer, and Burgos foster this important discussion with a very clear and cogent paper. I find their reasoning inescapable that environment–behavior relations are what is always conditioned. My own computer model of operant behavior is built on the same assumptions (Hutchison, 1984, 1985, 1995, 1997; Stephens & Hutchison, 1993), and the many simulations I have done are uniformly supportive of their claim that a single model can produce discriminated and undiscriminated conditioning in a wide variety of situations (e.g., Hutchison, 1997). I hope I can now come out of the closet without having to wear a scarlet S-R on my chest. I also strongly agree with Donahoe et al. regarding the value of computer modeling as a scientific tool. Donahoe and Palmer (1994) describe computer simulations as formal interpretation (p. 128), automatically ‘‘reasoning’’ or predicting from a set of assumptions to their implications. All scientists are constantly making predictions from theoretical formulations, both in designing experiments and in judging the congruence of data with predictions from various formulations. Just as we use a computer spreadsheet to ask ‘‘what if? ’’ questions when data get too complicated to manage on paper, we can use a computer model to ask ‘‘what if? ’’ questions of complicated behavioral relations. Our subject matter concerns environment–behavior systems that complicate enormously as the history of the organism develops. In my opinion, computer models are essential for further progress in our discipline, and they imply no necessary compromise of our radical behavioral philosophy of science. Quantitative behavior analysts are increasingly using these tools in valuable ways; for example, simulating how molecular conditioning processes that occur
Online Generation of Profile Association Rules

The results discussed in this paper are relevant to a large database consisting of consumer profile information together with behavioral (transaction) patterns. The focus of this paper is on the problem of online mining of profile association rules in this large database. The profile association rule problem is closely related to the quantitative association rule problem. We show how to use multidimensional indexing structures in order to perform the mining. The use of multidimensional indexing structures to perform profile mining provides considerable advantages in terms of the ability to perform very generic range based online queries.
Geographic, demographic, and seasonal differences in penicillin-resistant Streptococcus pneumoniae in Baltimore.

We examined the epidemiology of invasive penicillin-resistant Streptococcus pneumoniae (PRSP) infections among residents of the Baltimore metropolitan area from 1995 through 1997. During this period, the proportion PRSP cases increased 42%, from 5.7% to 8.1% of cases. PRSP rates were highest among persons aged <5 and > or =65 years, black patients, and urban dwellers. However, the proportion of PRSP cases was higher among white persons (10%) than it was among black persons (5%) and among residents of suburban counties (10%) versus urban counties (6%). PRSP cases were more common in November-April (8%) than they were in May-October (5%), particularly for persons aged > or =65 years (10% vs. 1%). By use of logistic regression, white race, suburban residence, and winter respiratory season were found to be independent predictors of infection with PRSP. The incidence of PRSP is increasing in Baltimore, and the seasonality of PRSP suggests that recent antibiotic use, which is more common in winter months, may rapidly affect the prevalence of resistant pneumococcal infections.
A Reference Model for Global Software Development: Findings from a Case Study

The purpose of this paper is to present a reference model for global software development, based on the results found in a case study conducted in two software development units from multinational organizations located in Brazil. A preliminary description of this model was originally published in 2004. In this paper, we present the reference model in detail, improving the description and discussing the factors that enable multinationals corporations to operate successfully across geographic and cultural boundaries. At the end, we also discuss a preliminary evaluation of the reference model usage
Population Based Cohort Study for Pediatric Infectious Diseases Research in Vietnam

A population-based cohort study on pediatric infectious diseases was established at Khanh Hoa Province, central Vietnam in 2006, to determine the etiology and risk factors for severe pediatric infectious diseases (SPID) such as acute respiratory infection (ARI), diarrhea and dengue which are the major causes of under 5 mortality. A population census survey was conducted in Nha-Trang and Ninh-Hoa to collect demographic, social-behavioral data and disease burden on SPID. The study site covered a population of 353,525 residing in 75,826 households with 24,781 children less than 5 years. Hospital databases from two hospitals covering the region were obtained. Linking the census and hospital databases, we were able to investigate on a variety of SPID such as environmental tobacco smoking exposure and increased risked of pediatric pneumonia hospitalization, population density, water supply and risk of dengue fever and animal livestock and risk of hospitalized diarrhea. To determine incidence, viral etiology and risk factors for pediatric ARI/pneumonia, we setup a population based prospective hospitalized Pediatric ARI surveillance at Khanh Hoa General Hospital, Nha-Trang in February 2007. The study has revealed RSV, rhinovirus and influenza A as major viral pathogens, role of multiple viral infection and its interaction with bacteria in the development of pneumonia. In addition, we are also conducting a birth cohort study to investigate the incidence of congenital infection and its impact on physical-neurological development, and role of host genetic polymorphism on SPID hospitalization in Vietnam. Population mobility, high cost of regular census update and low mortality are the challenges.
Cumulants and genetic algorithm for parameters estimation of noncausal AR models

This paper introduces a new method to estimating the parameters of a noncausal AR model. This method is based on a new formulation that relates the unknown AR parameters to both second- and higher-order cumulants. A genetic algorithm has been used to solve for the unknown AR parameters by minimizing a nonlinear cost function that is defined in terms of model's output cumulants.
Point: visceral adiposity is causally related to insulin resistance.

The relationship between obesity and insulin resistance, while well recognized for many years, has nonetheless been confusing since not all obese individuals have insulin resistance (1) and because insulin resistance occurs in individuals who have BMIs that are within the normal or mildly overweight categories (2). Early attempts to understand the relationships between obesity, type 2 diabetes, and cardiovascular disease focused on the waist-to-hip ratio as a means of distinguishing those individuals who were at increased risk from those who were not (3,4). A high waist-to-hip ratio is a surrogate for masculine distribution of obesity (central obesity). Cross-sectional studies by Kissebah et al. (5) and Krotkiewski et al. (6) in the 1980s demonstrated that hypertension, hypertriglyceridemia, hyperinsulinemia, and glucose intolerance were increased in subjects with a high waist-to-hip ratio. Long-term longitudinal population-based studies of men (13.5 years) and women (12 years) in Gothenburg, Sweden, showed that the waist-to-hip ratio was a predictor of the future development of diabetes, myocardial infarction, angina pectoris, stroke, and death independent of BMI (3,4). Technology developed in the 1990s, including computer tomography scans and MRI, made it possible to precisely measure specific adipose tissue depots such as total body adipose tissue mass, abdominal subcutaneous adipose tissue mass, visceral adipose tissue mass, and hepatic and intramuscular triglyceride content (7,8). Utilizing those techniques, many studies have examined the relationship between total adipose tissue, abdominal subcutaneous adipose tissue, and visceral adipose tissue mass and insulin resistance, the components of the metabolic syndrome, and the development of type 2 diabetes or clinical cardiovascular events (9–21). Despite the much smaller size of the visceral adipose tissue depot compared with the total subcutaneous adipose tissue depot or total adiposity, many investigations demonstrated that the visceral adipose tissue mass and not …
Some Thoughts on Change Blindness

1 Revised manuscript submitted to Visual Cognition, special issue on change blindness and visual memory. Abstract Recent results showing that large changes in a scene are not noticed if they occur at the same time as a global visual disturbance caused by saccades, flicker, "mudsplashes", or film cuts, are generally explained in terms of a theory in which it is assumed that the observer's internal representation of the outside world is very sparse, containing only what the observer is currently processing. The present paper presents some clarifications of the theory, and some new implications and predictions that arise from it.
Inflammatory Cytokines in Diabetic Nephropathy

Probably, the most paradigmatic example of diabetic complication is diabetic nephropathy, which is the largest single cause of end-stage renal disease and a medical catastrophe of worldwide dimensions. Metabolic and hemodynamic alterations have been considered as the classical factors involved in the development of renal injury in patients with diabetes mellitus. However, the exact pathogenic mechanisms and the molecular events of diabetic nephropathy remain incompletely understood. Nowadays, there are convincing data that relate the diabetes inflammatory component with the development of renal disease. This review is focused on the inflammatory processes that develop diabetic nephropathy and on the new therapeutic approaches with anti-inflammatory effects for the treatment of chronic kidney disease in the setting of diabetic nephropathy.