Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of Sagittal Curves of Spinal Column and Establishing the Norm of Thoracic Kyphosis and Lumbar Lordosis

2 Abstract: The aim of this study was the investigation of sagittal curves of spinal column (Thoracic kyphosis and lumbar lordosis) in healthy boys with age between 12 to 17 years old. Thoracic kyphosis and the lumbar lordosis were evaluated in healthy boys by a flexible ruler with the child standing in a relaxed position. The sagittal curves were studied in 636 healthy boys between consecutive age-groups (12-13-14-15-16-17 ages) with a flexible ruler -a non-invasive device-with the child standing in a relaxed position. The accuracy and the reliability of this technique are studied and shown to be acceptable. Results revealed that the thoracic kyphosis and lumbar lordosis varied in deferent age-groups. The least pronounced kyphosis was seen at the age of 12 years and the least pronounced lodosis was seen at the age of 14 year. Analyses of variance (ANOVA) revealed significant differences between age groups in thoracic kyphosis (F (630) =6.54, P=0.001), but there was no significant differences between age groups in lumbar lordosis (F (630) =0.960, P=0.442). It was concluded that the mean range of kyphosis increase with increase of the age between 12-17 years in boys and we can use from finding of this study as the norm of thoracic kyphosis and lumbar lordosis.
Image Restoration of Medical Images using Patch Based Sparse Representation with Non-Convex Hybrid Total Variation

The restoration of images corrupted by blur and noise is a key issue in medical and biological image processing. In this paper we consider restoration of medical images with poisson noise and blur. Sparse representations of images provide better results for image recovery. In this paper we propose a model containing three terms: a patch-based sparse representation prior over a learned dictionary, non convex hybrid total variation method that helps to reduce staircase artifacts in restored smoothened regions while preserving valuable edge information in the images and a data-fidelity term capturing the statistics of Poisson noise. An alternating minimization technique combined with variable splitting is used for solving resulting optimization problem. The proposed method provides better results in terms of peak signal to noise ratio and visual quality.
EYE DETECTION IN IMAGE THROUGH MORPHOLOGY AND COLOR

Eye detection has multiple applications including iris recognition, identifying people in video conferencing, face recognition, and identification. This paper presents a new approach of eye detection in digital images through using morphology operations and color. As observed, an area of image where the eye is located shows low brightness level, large edge density and high contrast comparing other parts of face. The proposed method is highly effective for full faces. In this regard, the area characterized with skin features is initially identified in image by existing color devices such as RGB and/or HSV. Then, two spots are localized as eyes using morphology and removing redundant points. The results revealed that the proposed method is particularly effective for full- face images.
DNA Microarrays, Part B : Databases and Statistics (Methods in Enzymology Vol 411)

Modern DNA microarray technologies have evolved over the past 25 years to the point where it is now possible to take many million measurements from a single experiment. These two volumes, Parts A & B in the Methods in Enzymology series provide methods that will shepard any molecular biologist through the process of planning, performing, and publishing microarray results. Part A starts with an overview of a number of microarray platforms, both commercial and academically produced and includes wet bench protocols for performing traditional expression analysis and derivative techniques such as detection of transcription factor occupancy and chromatin status. Wet-bench protocols and troubleshooting techniques continue into Part B. These techniques are well rooted in traditional molecular biology and while they require traditional care, a researcher that can reproducibly generate beautiful Northern or Southern blots should have no difficulty generating beautiful array hybridizations. Data management is a more recent problem for most biologists. The bulk of Part B provides a range of techniques for data handling. This includes critical issues, from normalization within and between arrays, to uploading your results to the public repositories for array data, and how to integrate data from multiple sources. There are chapters in Part B for both the debutant and the expert bioinformatician.
The mobile terminal

The present invention relates to a mobile communication terminal, the present invention of when the when the forward current is located inside the camera module to move the lens of the camera module, the image side in the optical axis direction, is applied with a reverse current optical axis to the lens side located on the outside of the actuator, wherein the camera module moves to the lower side when the signal to operate in a vibration mode from the external input first control signal and the second is connected to the oscillation control, the vibration control unit for outputting a control signal controlling the first When a signal is input is to drive the motor connected to the vibration motor unit, the vibration control unit for vibrating the mobile terminal when the second control signal is input, the mobile terminal comprising an actuator driving unit for applying a reverse current to the actuator relate to. A camera module, an actuator, a forward current, reverse current, vibration
Survey of Approaches for Building Emotion Detection Applications using a Multi-modal Approach

Emotion detection of users is a challenging and exciting field where user’s data is analyzed to recognize emotions such as happy, sad, angry etc. This data could be in one or multiple formats such as audio, video, text, still images etc. Relevant features are extracted and fused together to give a label. Fusing data from two or more sources(modalities) is another challenge, feature level or decision level fusion is employed. This paper inspects and studies the various approaches to multi-modal extraction of emotions.
Task Level Parallelization of All Pair Shortest Path Algorithm in OpenMP 3.0

OpenMP is a standard parallel programming language to develop parallel applications on shared memory machines. OpenMP is very suitable for designing parallel algorithms for regular applications where the amount of work is known apriori and therefore, distribution of work among the threads can be done at compile time. In irregular applications, the load changes dynamically at runtime and distribution of work among the threads can be done only at runtime. In the literature, it has been shown that OpenMP produces poor performance for irreg-ular applications. In 2008, the OpenMP 3.0 version introduced new features such as ”tasks” to handle irregular computations. Not much work has gone into studying irregular algorithms in OpenMP 3.0. In this paper, we consider one graph problem, the all pair shortest path problem and its implementation in OpenMP 3.0. We show that for large number of vertices, the algorithm running on OpenMP 3.0 surpasses the one on OpenMP 2.5 by 1.6 times. Keywords-OpenMP 3.0; All Pair Shortest Path; Task Parallelization
Sequences selection for quasi-synchronous CDMA systems

After a review of asynchronous code division multiple access (A-CDMA) systems, quasi-synchronous CDMA (QS-CDMA) systems are introduced and its performance is determined based on the calculation of the bit error rate (BER). The two systems are compared with numerical examples and the superior performance of the latter is established. The results calculated for Gold sequences with N=511 and K=48 subscribers are presented and confirm the superior performance of the QS system as expected. This advantage is /spl ap/10 dB for P/sub e/=10/sup -7/.
A study on psychological determinants of users' autonomous vehicles adoption from anthropomorphism and UTAUT perspectives

As the autonomous vehicles technology gradually enters the public eye, understanding consumers' psychological motivations for accepting autonomous vehicles is critical for the development of autonomous vehicles and society. Previously, researchers have explored the determinants of fully autonomous vehicles but the relevant research is far from enough. Moreover, the relationship between anthropomorphism and users' behavior has been ignored to a large extent. Therefore, this study aim to fill the gap by using anthropomorphism and the unified theory of acceptance and use of technology (UTAUT) to explore how system attributes (i.e., perceived anthropomorphism, perceived intelligence) and UTAUT attributes influence consumers' acceptance behavior. The data were collected via questionnaire survey conducted in Beijing, China, which can be a promising early adopter of AVs. Structural equation modeling was used to analyze the data. The results reveal that perceived anthropomorphism and perceived intelligence have a direct positive influence on the adoption of AVs; performance expectancy, effort expectancy, and facilitating conditions have an indirect positive influence on intention to adopt AVs. Also, this research contributes to the literature by enriching studies on psychological determinants of autonomous vehicles' adoption by taking an initial step to highlight anthropomorphism perceptions. This can provide managerial implications for policy-makers and businesses on how to effectively allocate resources to enhance autonomous vehicle adoption.
Graffiti-Inspired Curriculum: Enhancing Student Understanding of Artistic Conventions, Symbolism, and Metaphor

Graffiti is an art form that has been largely ignored by institutions of art education. This art-based, classroom study explores the student learning that can occur through the implementation of a graffiti-inspired unit. The content assessed for student growth in understanding was artistic conventions, symbolism, and visual metaphor. This study describes how the data on student learning was accumulated through the use of questionnaires, individual interviews, and written artist statements. The graffiti-inspired curriculum of this study, that included three major assignments based on a common theme of personal identity, showed that students were able to significantly increase their understanding of artistic conventions, symbolism, and metaphor almost universally. The final results of this study were applied to a graffiti-inspired unit plan for art educators to use and adjust in order to engage and increase the knowledge of their individual student populations. Keywords: graffiti-inspired, artistic conventions, visual culture, visual metaphor Running Head: GRAFFITI-­‐INSPIRED CURRICULUM
Um acervo, uma coleção e três problemas: a Coleção Jacques Pilon da Biblioteca da FAUUSP

This article examines the establishment of the Archive of Projects of the Library of the Faculty of Architecture and Urbanism of the University of Sao Paulo (FAUUSP), the treatment of the Collection Jacques Pilon and the architectural design as a documentary source from three interconnected issues: the constitution of the architectural field in Brazil; the history of Sao Paulo and its architecture and the contribution of foreign architects to build the city between the years 1930 and 1960. From the approach of new and old sources of research, this article seeks to articulate the History of Architecture with other fields of knowledge not always related to it, but that together it can contribute to a more complex reading of architectural production and to efforts of reviewing the historiography of modern architecture in Brazil.
Analysis for Science Librarians of the 2017 Nobel Prize in Physiology or Medicine: The Life and Work of Jeffrey C. Hall, Michael Rosbash, and Michael W. Young

ABSTRACT Jeffrey C. Hall, Michael Rosbash, and Michael W. Young are the 2017 Nobel Prize in Physiology or Medicine Laureates, having earned the award for their “discoveries of molecular mechanisms controlling the circadian rhythm. ” They identified the genes involved in the circadian rhythm mechanism and explained how all of the different pieces of the mechanism work together. These discoveries explain how the biological cycles of Earth’s organisms correspond to the rotation of the planet, acting as an inner clock. Their research also provides further opportunities to continue learning about the role of circadian rhythm and its relationship to human health (Nobelprize.org 2017a).
The Design Of The Unix Operating System

Thank you very much for reading the design of the unix operating system. Maybe you have knowledge that, people have search hundreds times for their favorite novels like this the design of the unix operating system, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they cope with some harmful bugs inside their laptop. the design of the unix operating system is available in our book collection an online access to it is set as public so you can download it instantly. Our books collection spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the the design of the unix operating system is universally compatible with any devices to read.
The assessment of endometrial pathology and tubal patency of infertile patients: MR-HSG and X-ray HSG

Background: Infertility is an important disorder for the pairs. Genetic, endocrine disorders or structural genital abnormalities can be cause. The cause of infertility can be determined with careful. Methods: Although it can be reported that ultrasound with saline solution or contrast enhanced hystero salpingosonography is the best method to evaluate the uterine cavity and Fallopian tube patency, conventional hysterosalpingography (X-ray-HSG) remains the most commonly used procedure for imaging the uterine cavity and the fallopian tube patency in the evaluation of female infertility. But ionizing radiation to genital organs is the most important problem for X-ray-HSG. Results: For this reason, they are still working on new methods to investigate female infertility as an alternative to Xray HSGMRI is a favorite method because of excellent image characterization for the female genitals. Conclusions: In this study, the diagnostic performance of MR-HSG was compared with X-ray-HSG which was accepted as a gold standard for detection of tubal patency and pathology of the endometrial cavity.
Rapid and sensitive amplicon-based genome sequencing of SARS-CoV-2

As SARS-CoV-2 variants of concern emerged, the genome sequencing of SARS-CoV-2 strains became more important. In this study, SARS-CoV-2 was sequenced using amplicon-based genome sequencing with MinION. The primer panel used in this study consisted of only 11 primer panels and the size of the amplicons was approximately 3 kb. Full genome sequences were obtained with a hundred copies of the SARS-CoV-2 genome, and 92.33% and 75.39% of the genome sequences were obtained with 10 copies of the SARS-CoV-2 genome. The few differences in nucleotide sequences originated from mutations in laboratory cultures and/or mixed nucleotide sequences. The quantification of the SARS-CoV-2 genomic RNA was done using RT-ddPCR methods, and the level of LoD indicated that this sequencing method can be used for any RT-qPCR positive clinical sample. The sequencing results of the SARS-CoV-2 variants and clinical samples showed that our methods were very reliable. The genome sequences of five individual clinical samples were almost identical, and the analysis of the sequence variance showed that most of these nucleotide substitutions were observed in the genome sequences of the other clinical samples, indicating this amplicon-based whole-genome sequencing method can be used in various clinical fields.
Web Services Technology: An Overview

This chapter examines the concept of service-oriented architecture (SOA) in conjunction with the Web services technology as an implementation of the former’s design principles. Following a brief introduction of SOA and its advantages, a high-level overview of the structure and composition of the Web services platform is provided. This overview covers the core Web services specifications as well as features of the extended architecture stack, which together form a powerful and robust foundation for building distributed systems. The chapter concludes with a discussion of the scope of applicability of SOA and Web services. The overall goal of this chapter is to portray the key assets of the presented technologies and evaluate them as tools for handling adaptability, portability and interoperability issues that arise in modern business environments.
Training Spiking Neural Networks for Reinforcement Learning Tasks With Temporal Coding Method

Recent years witness an increasing demand for using spiking neural networks (SNNs) to implement artificial intelligent systems. There is a demand of combining SNNs with reinforcement learning architectures to find an effective training method. Recently, temporal coding method has been proposed to train spiking neural networks while preserving the asynchronous nature of spiking neurons to preserve the asynchronous nature of SNNs. We propose a training method that enables temporal coding method in RL tasks. To tackle the problem of high sparsity of spikes, we introduce a self-incremental variable to push each spiking neuron to fire, which makes SNNs fully differentiable. In addition, an encoding method is proposed to solve the problem of information loss of temporal-coded inputs. The experimental results show that the SNNs trained by our proposed method can achieve comparable performance of the state-of-the-art artificial neural networks in benchmark tasks of reinforcement learning.
Challenges when researching digital audiences : mapping audience research of software designs, interfaces and platforms

Summary: Based on an extensive literature review, this contribution explores current and future challenges for media and communication scholars when enquiring people’s engagements with digital media. Structuring the existing literature around four themes (affordances, the political economy of digital audiences, self-representation and identity, domestication and (problematic) uses of ICT), an overview of the current state of the field is provided. As such, three challenges are defined: exploring the diversity of digital audiences that now engage with digital media, allowing more room for the semiotics and contexts in which people experience digital media, and moving beyond the functionalistic uses of the concept ‘affordances’.
Investigation of a Volumetric Technique for Registration of Magnetic Resonance Images of the Human Brain

In order to more completely understand the living human brain additional computational tools are necessary to manipulate and analyze volumetric brain images. Comparisons between individual brains and across populations of brains are becoming increasingly important in characterizing both the anatomy and functioning of the brain. This work investigates a technique to register volumetric magnetic resonance images of the human brain in a nonlinear fashion allowing more meaningful comparisons between multiple individuals or between an individual brain and a standard brain atlas. The mathematics of 3-dimensional transformations are fully developed which provides a framework for construction of an objective function. This function is carefully designed to encourage a match while enforcing certain biological constraints, and minimization of the objective function in conjunction with a multi-resolution scheme brings about the registration between image volumes. Performance is analyzed which reveals shortcomings of the technique as well as providing insight into the operation of the algorithm. Potential modifications to rectify the problems are also discussed.
Full-Length Research Report Screening for Depression with the Depression in Old Age Scale (DIA-S) and the Geriatric Depression Scale (GDS15) Diagnostic Accuracy in a Geriatric Inpatient Setting

Purpose of the study. The Depression in Old Age Scale (DIA-S), a new screening tool for geriatric depression, was designed to be both practical and appropriate for use with medically ill geriatric patients. The diagnostic accuracy of the DIA-S and the short form of the Geriatric Depression Scale (GDS15) were tested and compared. Methods. Using the Montgomery and Asberg Depression Rating Scale (MADRS) as gold standard, the scales were validated with a sample of N = 331 geriatric inpatients. Results. ROC curves, AUC outcomes, sensitivity and specificity, and logistic regression models for impact factors on misclassification rates indicate good psycho- metrical qualities of the DIA-S, whereas the validity of the GDS15 was lower.
Advanced Web Metrics with Google Analytics

This book is intended for use by customers using Google Classic Analytics and does not cover the newer Google Universal Analytics or related Google Tag Manager. Google Analytics is the free tool used by millions of web site owners to assess the effectiveness of their efforts. Its revised interface and new features will offer even more ways to increase the value of your web site, and this book will teach you how to use each one to best advantage. Featuring new content based on reader and client requests, the book helps you implement new methods and concepts, track social and mobile visitors, use the new multichannel funnel reporting features, understand which filters to use, and much more. * Gets you up and running with all the new tools in the revamped Google Analytics, and includes content requested by readers and users especially for new GA users * Covers social media analytics features, advanced segmentation displays, multi-dashboard configurations, and using Top 20 reports * Provides a detailed best-practices implementation guide covering advanced topics, such as how to set up GA to track dynamic web pages, banners, outgoing links, and contact forms * Includes case studies and demonstrates how to optimize pay-per-click accounts, integrate AdSense, work with new reports and reporting tools, use ad version testing, and more Make your web site a more effective business tool with the detailed information and advice about Google Analytics in Advanced Web Metrics with Google Analytics, 3nd Edition.
Predictors and implications of accelerated cognitive aging

ABSTRACT Aging is a major risk factor for both normal and pathological cognitive decline. However, individuals vary in their rate of age-related decline. We developed an easily interpretable composite measure of cognitive age, and related both the level of cognitive age and cognitive slope to sociodemographic, genetic, and disease indicators and examined its prediction of dementia transition. Using a sample of 19,594 participants from the Health and Retirement Study, cognitive age was derived from a set of performance tests administered at each wave. Our findings reveal different conclusions as they relate to levels versus slopes of cognitive age, with more pronounced differences by sex and race/ethnicity for absolute levels of cognitive decline rather than for rates of declines. We also find that both level and slope of cognitive age are inversely related to education, as well as increased for persons with APOE Ɛ4 and/or diabetes. Finally, results show that the slope in cognitive age predicts subsequent dementia among non-demented older adults. Overall, our study suggests that this measure is applicable to cross-sectional and longitudinal studies on cognitive aging, decline, and dementia with the goal of better understanding individual differences in cognitive decline.