Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling of neuronal networks through experimental decomposition

The studies reviewed experimental procedures which attempted to eliminate anatomical connections between dentate granule cells and progressively increasing numbers of other populations of cells belonging to the hippocampus. The objectives were to identify response dynamics intrinsic to dentate granule cells and to determine, at least qualitatively, the extent to which those intrinsic dynamics are modified by other populations of hippocampal neurons normally interconnected with granule cells. Nonlinear response characteristics of granule cells, when examined in relative isolation, were qualitatively different from nonlinearities expressed by the same population of neurons when interacting with other elements of the hippocampal system. This indicates that the influence of the network on functional characteristics of one of its elements can be substantial. It is also found that the use of relatively standard procedures for preparing in vitro slices of central nervous system tissue may allow a close approximation of open-loop conditions for major cell populations of mammalian neural systems. <<ETX>>
A Bluetooth Enabled Personal Health Monitoring System Using Android Device

—Measurements of vital signs and behavioral patterns can be translated into accurate predictions of health risk. The proposed system suggests an anytime anywhere health monitoring mechanism via an application providing heart monitoring data through easy-to-use interfaces. Using this savior and chronically ill patient’s measure their heart readings and can send to their respective clinical assistant who can analyze this data remotely and prescribe accordingly. Proposed system is based on Bluetooth wireless protocol supporting good quality medical sensors, as well as wireless transport for access to faster and reliable communication network resources. Efficient and capable heart monitoring sensors senses the heart beats and sends to gateway using Bluetooth, calculation and process performed by embedded microcontroller. Android based smart phone device acting as a mobile gateway running the application, and forward data to remote clinical server to which physician is connected.
HANOLISTIC: A Hierarchical automatic Image Annotation System Using Holistic Approach

Automatic image annotation is the process of assigning keywords to digital images depending on the content information. In one sense, it is a mapping from the visual content information to the semantic context information. In this study, we propose a novel approach for automatic image annotation problem, where the annotation is formulated as a multivariate mapping from a set of independent descriptor spaces, representing a whole image, to a set of words, representing class labels. For this purpose, a hierarchical annotation architecture, named as HANOLISTIC (Hierarchical Image Annotation System Using Holistic Approach), is defined with two layers. The first layer, called level-0 consists of annotators each of which is fed by a set of distinct descriptor, extracted from the whole image. This enables us to represent the image at each annotator by a different visual property of a descriptor. Since, we use the whole image, the problematic segmentation process is avoided. Training of each annotator is accomplished by a supervised learning paradigm, where each word is represented by a class label. Note that, this approach is slightly different then the classical training approaches, where each data has a unique label. In the proposed system, since each image has one or more annotating words, we assume that an image belongs to more than one class. The output of the level-0 annotators indicate the membership values of the words in the vocabulary, to belong an image. These membership values from each annotator is, then, aggregated at the second layer to obtain meta-level annotator. Finally, a set of words from the vocabulary is selected based on the ranking of the output of meta-level. The hierarchical annotation system proposed in this study outperforms state of the art annotation systems based on segmental and holistic approaches.
Understanding OSS as a Self-Organizing Process

We hypothesize that open source software development can be modeled as self-organizing, collaboration, social networks. We analyze structural data on over 39,000 open source projects hosted at SourceForge.net. We define two software developers to be connected — part of a collaboration social network — if they are members of the same project, or are connected by a chain of connected developers. Project sizes, developer project participation, and clusters of connected developers are analyzed. We find evidence to support our hypothesis, primarily in the presence of power-law relationships on project sizes (number of developers per project), project membership (number of projects joined by a developer), and cluster sizes.
The combination of diffusion model and learning effect model to evaluate the policy impact of Cancer Control Act

Considering the social high incidence and mortality rate of cervix cancer, the government provides a free medical service of Pap smear test based on the Cancer Control Act regulated in 2003. This paper attempts to understand the impact of policy implementation for Pap smear test and employs the diffusion model, learning model and integrating model respectively to examine the diffusion of Pap smear test promotion. The results show that all the three models are statistically fitted, i.e. diffusion effects, learning effects, and interaction effects exists and may explain the trend of Pap smear test. The policy of the Cancer Control Act is also found to significantly affect the adoption of Pap smear test.
Physician's experiences with death and dying: A phenomenological study

i ACKNOWLEDGMENTS ii CHAPTERS iii-viii TABLES ix CHAPTER 1 – Introduction 1 Background of Problem 3 Statement of Problem 7 Purpose of the Study 15 Need for the Study 16 Significance of the Study 24 Research Questions 26 Research Design 26 Study Participants 26 Data Collection 29 Data Analysis 30 Limitations 30 Delimitation 33 Assumptions 33 Definitions 34 Summary 35
About speech motor control complexity

A key issue in research about speech motor control is the one of the level of complexity that is required for the internal models: have these models to account accurately for all physical properties of the speech motor system, including the complex tongue-jaw biomechanics? Or would more simple internal representations be sufficient, which model only the static characteristics of the peripheral speech apparatus or which give a rough account of articulatory dynamics? On the basis of experimental and modeling studies of speech movements and human limb movements published in the literature, the adequacy of simplified internal representations for speech motor control is analyzed.
Cardiovascular health in men on androgen deprivation therapy for prostate cancer

Androgen deprivation therapy (ADT) is a cornerstone treatment option for men with metastatic or locally advanced prostate cancer, however, treatment with ADT has been associated with increased incidence of adverse cardiovascular events. Strategies to investigate and monitor cardiovascular risk, as well as to reduce such treatment-related morbidity are urgently required in this population.Study 1 of this thesis investigated the differences in endothelial function between men with advanced prostate cancer treated with ADT and matched controls using a case-control design. Flow-mediated dilatation (FMD) and glyceryl-trinitrate (GTN)-mediated dilatation of the brachial artery were assessed in 20 men (69 +/- 7 years) with prostate cancer treated with ADT for a median of 22 months (range 6-133 months) and compared against 20 controls (69 +/- 5 years) matched for age, history of cardiovascular disease and physical activity levels. FMD was reduced in men on ADT compared to controls (P 0.05). These findings provide novel data to suggest endothelial function is impaired in men with prostate cancer treated with ADT, which is in agreement with evidence of increased cardiovascular risk in this population. Study 2 investigated the effects of a 12-week lifestyle intervention including supervised exercise training and dietary advice on markers of cardiovascular health and general well-being in men treated with ADT for prostate cancer. Fifty men treated with ADT for ≥6 months were randomly allocated to receive the intervention or usual care. Assessments of vascular function, blood pressure, body composition, exercise tolerance and psychological well-being were undertaken prior to randomisation (baseline) and after completion of the intervention (end-point), with a follow-up assessment completed a further 12 weeks after end-point assessments. Statistically significant differences between groups were observed for changes in skeletal muscle mass, body fat percentage, exercise tolerance, quality of life and fatigue (P 0.51), with post-hoc analysis demonstrating a statistically significant change in FMD in men in the intervention group (P = 0.038). These findings support evidence that diet and exercise can improve general well-being of patients treated with ADT, and provide novel data on the effects of such an intervention on cardiovascular health.
FACTORS THAT AFFECT THE CO-ACTIVATION AMONG THE PELVIC FLOOR MUSCLES AND TRANSVERSUS ABDOMINIS/ INTERNAL OBLIQUE

Hypothesis / aims of study Recently, a theoretical model involving training of the deep abdominal muscles, in particular the transversus abdominis (Tra), to increase tonic pelvic floor muscle (PFM) activity has been suggested. However, some studies have pointed out that this behavior can be altered in specific groups or conditions, such as pregnancy or post partum [1], but there was no sufficient scientific evidence to recommend such therapy as a routine [2]. Its necessary to better understand the factors that influence the co-activation between Tra and PFM in order to better target and increase the effectiveness of the PFM training. Therefore the aim of this study was to assess the PFMs muscle response during maximum voluntary contraction of Tra/OI, and vice versa, and evaluate the relationship of co-activation of those muscles with the variables: age, body mass index (BMI), pregnancy, postpartum, physical activity, number of pregnancies, presence and severity of urinary incontinence assessed by ICIQ-UI SF and the presence of symptoms of overactive bladder (OAB) assessed by ICIQ -OAB.
Use of Orthographic Redundancies Identification Speed in Bilinguals

The present study aimed at evidencing some of the factors linked to word identification speed in bilinguals. The performances of beginning and of skilled bilinguals on tasks related to single-word decoding were assessed in both the first and the second lan~tage. Results of a first experiment showed that whereas both groups of bilinguals demonstrated use of orthographic redundancies specific to their native language, only the skilled group did so as concerns second-language redundancies. It was seen in a second experiment, however, that the use or nonuse of orthographic structure cannot in itself account for the pattern of lexical decision latencies observed for words in the two languages. Rather, this pattern is consistent with the idea that word recognition latency is largely dependent upon subjects" past experience with and actual use of words.
Bayesian Model Averaging: A Systematic Review and Conceptual Classification

Bayesian model averaging (BMA) provides a coherent and systematic mechanism for accounting for model uncertainty. It can be regarded as an direct application of Bayesian inference to the problem of model selection, combined estimation and prediction. BMA produces a straightforward model choice criterion and less risky predictions. However, the application of BMA is not always straightforward, leading to diverse assumptions and situational choices on its different aspects. Despite the widespread application of BMA in the literature, there were not many accounts of these differences and trends besides a few landmark revisions in the late 1990s and early 2000s, therefore not accounting for advancements made in the last decades. In this work, we present an account of these developments through a careful content analysis of 820 articles in BMA published between 1996 and 2016. We also develop a conceptual classification scheme to better describe this vast literature, understand its trends and future directions and provide guidance for the researcher interested in both the application and development of the methodology. The results of the classification scheme and content review are then used to discuss the present and future of the BMA literature.
Behavioral and Developmental Pediatrics: A Handbook for Primary Care

This practical guide helps physicians diagnose and treat children with common developmental and behavioral problems. Each short chapter presents concise pearls of information that are easy to digest, allowing clinicians to find the information they need to make management decisions. The book addresses general aspects as well as instruments and techniques for managing problems, and lists resources available to parents and children
Distorsiones Cognitivas en Agresores de Pareja: Análisis de una Herramienta de Evaluación

espanolLas distorsiones cognitivas influyen en el desarrollo y mantenimiento de la violencia. En agresores de pareja, la negacion del problema y la culpabilizacion de la victima son especialmente prevalentes, promoviendo una menor asuncion de responsabilidades. Este trabajo revisa las propiedades psicometricas de un inventario disenado para la evaluacion de pensamientos distorsionados sobre la mujer y la violencia. Se analiza su aplicacion en 180 agresores en prision, asi como los resultados de 11 estudios previos, comparando dos formatos de correccion (verdadero/falso y likert/factorial). el analisis factorial permitio eliminar los items 7, 8, 19 y 28 y agrupar el contenido en 4 factores. El item 27 se elimino por considerarlo erroneo. Se detectaron limitaciones de la herramienta, como una poca sensibilidad al cambio terapeutico y baja capacidad discriminativa entre distintas muestras. Se discuten las precauciones a tener en cuenta a la hora de utilizar la herramienta en el ambito profesional. EnglishCognitive distortions are related to the development and maintenance of violent behavior. Among partner-violent men the denial of the problem, and victim blaming are especially prevalent, and reduce accountability. This paper reviews the psychometric properties of an inventory designed to assess distortions about women and violence justification. Its application in 180 offenders in prison is analyzed, as well as the results of 11 previous studies, comparing two correction options (true/false and Likert/factorial). Factor analysis allowed to remove items 7, 8, 19 and 28 due to their low statistical significance, and to group them in four factors. Item 27 was removed because is considered to be wrong. Some limitations were detected, as can be a low sensitivity to therapeutic change, and a low capacity to discriminate between different samples. Precautions to be taken when using the tool in the professional field are discussed.
Interpretation and implications of the European Commission's definition on nanomaterials

In October 2011, the European Commission published the Recommendation on the Definition of Nanomaterial. RIVM considers this definition to be a good basis for further discussion that should focus on two aspects of the definition: the proposed size limits for nanoparticles (1 to 100 nanometres); and the requirement that at least 50 % of the number of particles should be in this size range. According to RIVM, further scientific research would contribute to better understanding the implications of these threshold values. In addition, reliable and standardised measurement techniques are needed to determine particle number and size distributions. The European Commission will review the definition in 2014 in the light of experience and developments in science and technology. Understanding potential risks important: In recent years, an increasing number of applications and products containing or using nanomaterials have become available. However, the small size of the particles in nanomaterials gives these materials different properties relative to materials with larger sizes. A univocal definition of the term 'nanomaterial' is essential in EU legislation and regulations, particularly with regard to the management of potential risks of nanomaterials to humans and the environment. Once the definition of a nanomaterial has been established, it has to be incorporated in the appropriate legislative frameworks. Subsequently, further amendments may be required with regard to specific provisions for certain types of nanomaterials to ensure safe use. Particles outside the definition are not automatically safe: RIVM agrees with the Commission's principle that a nanomaterial should not automatically be considered as hazardous. Conversely, materials not covered by the definition should not automatically be considered as safe. Such materials may pose a nano-sized related risk, if a substantial number of the particles is in the nano-size range, depending on the degree of human and environmental exposure.
Hands-On Information Security Lab Manual

Principles of Computer Security Lab Manual, Fourth Edition 40+ lab exercises provide students the real world, hands-on practice they need to practice. The Hands-On Information Security Lab Manual, Second Edition allows students to apply the basics of their introductory security knowledge in a hands-on. and network security include the role of information security, threats, cryptography, protocols, Hands-On Information Security Lab Manual, 4th Edition. Michael.
GIS-ROUT: A River Model for Watershed Planning

Previous studies have shown that significant environmental changes are the result of human activities such as urbanization occurring at the spatial scale of landscapes. The challenge faced by many planners today is how to understand such relationships in order to support integrated watershed planning and management. Although many mathematical models have been developed to simulate the chemical transport process in a river, few are actually used in watershed assessment and management. Recently, incorporating analytical models into GIS platforms has emerged as a promising research area attracting planners and other resource managers. In this paper we present a GIS-based river water quality model (GIS-ROUT) to predict chemistry changes in river water as a result of sewage discharge changes in a watershed. Integration of spatial data, GIS, and analytical models in GIS-ROUT makes it possible to examine the dynamic linkages between water quality and human activities in a watershed. Furthermore, the user-friendly interface of the model allows its users to concentrate on the planning issues, such as examining the “What if…” questions related to different development scenarios. The study not only contributes to the application of GIS and water quality models in planning, but it also provides a comprehensive view of the watershed that can help government agencies and other stakeholders to make informed decisions.
Exploring gene interactions in dna microarray data

DNA Microarray technology provides a powerful basis for analysis of gene expression levels. Analyzing microarray data can reveal gene activities associated with biological processes and group genes into interaction networks. The discovery and exploration of these networks will help us identify gene functions, design new methods of disease diagnosis and provide target for drug development. Data mining methods such as clustering and association rule mining have been widely applied to Microarray data to find groups of genes that show similar expression patterns. However, these approaches usually can only find associations or co-expressions, but fail to unveil pairwise or multi-way gene interactions within one cluster. Bayesian networks, which are based on directed acyclic graph and can provide model of causal influence, have been used for causal structure learning. However learning Bayesian network structure is an NP-hard problem. Since the number of genes involved in the learning are usually in the size of hundreds or thousands, it can not be used for realtime interactive gene interaction exploration. In this dissertation, we combine the use of graphical model and causal model with other data mining techniques to identify and screen gene interaction networks. We apply Graphical Gaussian Model (GGM) to discover undirected pairwise gene interactions. For causal structure learning, we develop an enhanced constraint based approach which allows fast exploration of directed gene interactions. To solve the dimensionality limitations of these modeling methods, we develop an algorithm based on graphical decomposition. It can divide large interaction networks into smaller components to which our modeling methods can be applied successfully. We also develop an approach to improve the identification of gene interaction networks by incorporating protein function modules. To find meaningful protein modules from usually very sparse protein interaction networks, we first develop two strategies (data integration and using Commute Time) to increase the density of the networks. Then we apply clique finding algorithm to find cliques (and also conserved cliques) from protein interaction networks. The cliques found are further analyzed by using our modeling methods. We design and implement an integrated system with GUI that allows rapid interactive exploration of gene relationships. We also test our methodology on both Yeast and E. coli microarray data and protein interaction data.
Tune the cord into right chords—activating a “paralyzed” immune system by silencing thoracic interneuron

Spinal cord injury (SCI) results in devastating impairment of motor function. An under-appreciated yet equally important complication in chronic SCI is infection. The increased risk of infection in patients living with SCI has traditionally been attributed to motor-paralysis such as dysphagia or neurogenic bladder resulting in pneumonia or urinary tract infection. However, a condition known as SCI-induced immune depression syndrome is thought to decrease adaptive and innate immunity, leading to increased susceptibility to infections (1). A study by Ueno et al . , seeks to elucidate the cellular mechanism of this phenomenon (2).
Beyond Music Information Retrieval: A Proposed Model for Automatic Generation of Dialogic Music Para além da Recuperação de Informação Musical: Proposta de um Modelo de Geração Automática de Narrativas Musicais Dialógicas

In this article we propose a generative music model that recombines heterogeneous corpora of audio units on both horizontal and vertical dimensions of musical structure. In detail, we describe a system that relies on algorithmic strategies from the �耀eld of music information retrieval—in particular content-based audio processing strategies—to infer information from music recordings that, in turn, supervise generative music strategies. The model allows automatic remix and mashup creation and the manipulation of audio signals according to inferred stylistic features. In addition to widening the creative potential of non-experts, the model also expands knowledge in areas such as computational music analysis, generative music and music information retrieval.