Miracle-dz/UniFAR-FTUs huggingface dataset:
PERSPECTIVES ON THE ROLE OF THE PROBIOTICS IN THE HUMAN NUTRITION

Summary One of the most topical areas of human nutrition is the role of the gut in health and disease. Probiotics involve the use of live micro-organisms in food; prebiotics are carbohydrates selectively metabolized by desirable moieties of the indigenous flora; synbiotics combine the two approaches. Dietary intervention of the human gut microbiot is feasible and has been proven as efficacious in volunteer trials. The health bonuses of such approaches offer the potential to manage many gut disorders prophylactically.
Late EstablishedMutans Streptococci in Children over 3 Years Old

1 Department of Special Care Dentistry, Hiroshima University Hospital, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8553, Japan 2 Department of Pediatric Dentistry, Hiroshima University Hospital, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8553, Japan 3 Department of Pediatric Dentistry, Graduate School of Biomedical Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8553, Japan 4 Department of Bacteriology, Graduate School of Biomedical Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8553, Japan
Inertial Pocket Navigation System for Pedestrians

There is nowadays a high demand of pedestrian navigation systems, which are integrated in safety-of-life Services such as disaster management for rescue personnel or locationbased services such as guidance in hospitals, airports or shopping malls. In this thesis, indoor and urban environments constitute the targeted scenarios and the navigation is performed with inertial and magnetic sensors due to their wide availability, light-weight and infrastructure-less nature. The research of this thesis aims at improving or covering specific gaps of pedestrian navigation areas to offer versatile pedestrian navigation systems for a wide range of applications. First, the use of magnetic field measurements to compensate the error of the gyroscopes and their effect on the estimated orientation has been comprehensibly analyzed. Quasi-error-free measurements with known bias values have been used combined with different magnetic field distributions and the results have been endorsed with medium-cost sensors' measurements. It is concluded that the use of magnetic measurements is beneficial to estimate the bias of the gyroscopes, yielding to reduced orientation estimation errors. However, the targeted scenarios commonly present perturbed magnetic fields and the biases' estimation process becomes prohibitively slow. Second, several algorithms have been proposed in this thesis that outperform the accuracy of the horizontal displacement estimation with respect to the state of the art. Additionally, an innovative vertical displacement estimation algorithm has been proposed and tested in real-world scenarios. This algorithm makes it possible for the first time to solve unaided 3D inertial navigation for non-shoe-mounted sensors. Lastly, a novel drift estimation algorithm capable of preventing positioning errors caused by orientation errors is proposed. The computation of the drift error is based on landmarks seamlessly detected using solely inertial measurements. Landmarks defining the building or City layout have been chosen to be stairs and corners. By re visiting these landmarks it is possible to compute the accumulated drift error, which is used to reduce the orientation error. The proposed algorithm has been extensively tested with quasi-error-free and medium-cost sensors' measurements. Two types of corrections, online and post-processed, are presented to adapt the pedestrian navigation system to the particular application.
A Sequential Inspection Model based on Risk Quantitative Constraint and Component Importance

Due to aerospace equipment’s need to maintain a certain degree of safety and reduce the system risk of operation, relevant maintenance and inspection strategies should be developed to meet the requirements of risk quantitative indicators. The inertial navigation system commonly used in aerospace products is taken as an example, and a sequential inspection and maintenance model based on quantitative risk constraints and component importance is proposed in this paper. Firstly, based on the quantitative constraints of the system risk and the importance of the components, the reliability constraints of the components in the inertial navigation system are determined by the fault tree analysis method. Secondly, the Wiener process is used to establish a performance degradation model for a key component of the inertial navigation system, and the expression of real-time reliability distribution is obtained with close form by use of the first-hitting time theory. The adaptive estimation method is used to estimate the unknown parameters of the model. Once the new degradation information is available, the parameters should be updated with a Bayesian equation. Thirdly, a sequential inspection model is discussed to determine the optimal intervals to satisfy the requirements for the real-time reliability at a certain time. Finally, an example of the drift data of the gyroscopes in the inertial navigation system is given to illustrate the validity of the proposed method.
DESIRE: Deep learning Enabled System Integration for Retinopathy Evaluation

iii TABLE OF CONTENTS . iv LIST OF FIGURES . vi LIST OF TABLES . viii CHAPTER 1: INTRODUCTION . 1 1.1 Contribution . 4 1.2 Thesis Outline . 4 CHAPTER 2: LITERATURE SURVEY . 5 2.1 Unsupervised Methods. 5 2.2 Supervised Methods . 6 2.3 Deep Neural Networks . 7 CHAPTER 3: BACKGROUND . 10 3.1 Deep Learning . 10 3.1.1 Working of deep learning.11 3.2 Convolutional Neural Network . 12 3.2.1 Convolutional.14 3.2.2 Non-linearity . 16 3.2.3 Stride and Padding . 17 3.2. 4 Pooling.18 3.2. 5 Hyper-parameters . 19
Adaptive Passivity-Based Control of dc–dc Buck Power Converter With Constant Power Load in DC Microgrid Systems

This paper presents a robust nonlinear control strategy to solve the instability problem of dc–dc buck power converter with a constant power load in dc microgrid systems. Based on the passivity-based control (PBC), a nonlinear disturbance observer (NDO) is designed to improve the control robustness against both load and line variations, whereas the PBC guarantees the system stability due to its property of transient energy dissipation. By applying the disturbance estimation technique, NDO works in parallel with the PBC controller to compensate the disturbances through a feed-forward channel. This strategy ensures large signal stability as well as fast recovery performance of the system during disturbance/uncertainty as compared to other nonlinear control methods. Hardware-in-loop (HIL) experiment is performed on an OPAL-RT real-time simulator. MATLAB simulation and HIL results are provided to verify the proposed control strategy. Further validations are presented using a real hardware experiment to emphasize the robustness of the proposed controller.
The Governmental Topologies of Database Devices

In business and government, databases contain large quantities of digital transactional data (purchases made, services used, finances transferred, benefits received, licences acquired, borders crossed, tickets purchased). The data can be understood as ongoing and dynamic measurements of the activities and doings of people. In government, numerous database devices have been developed to connect such data across services to discover patterns and identify and evaluate the performance of individuals and populations. Under the UK’s New Labour government, the development of such devices was part of a broader policy known as ‘joined-up thinking and government’. Analyses of this policy have typically understood joining up as an operation of adding together distributed data about subjects, which can then be used in the service of government surveillance, the database state or informational capitalism. But rather than such technical or managerialist analytics, I argue that topological analytics capture what these database devices enact and do: they materialize the ‘individuality’ of subjects in intensified, distributed and fluctuating ways and materialize and intensify a logic of what Deleuze describes as modulating controls. Through examples of UK New Labour social policy initiatives over the past decade, I argue that topological analytics can account for these as immanent rather than exceptional properties of database devices and, as such, part and parcel of a governmental logic and ontology of subjects.
COMPUTER AIDED AND 3D PRINTING IN PRE-OPERATIVE PLANNING OF ORBITAL RECONSTRUCTION SURGERY

Aim. The main aim of the paper was to describe the orbital reconstruction surgery with use of: computer pre-operative planning, virtual modeling and three-dimension (3D) printing. Methods. First, to obtain the virtual model of the skull facial part (including the orbitals: the sound and the injured) the Cone Beam Computed Tomography (CBCT) was used. Using this method the facial part of the skull has been initially segmented in the model. Next, many processes of the images were done to generate Stereolithography (STL) model of the fractured orbital. In the last step of virtual modeling the improvement and main reconstruction of the orbital model were made using the haptic voxel modeling. Such made model was used to 3D printing the reconstructed orbit. Results. Thee orbital floor was approached using a standard subcilliary incision and a stepped blunt dissection to the infra orbital rim. The orbital floor was explored and the orbital fat and any involved muscles were removed from the maxillary sinus by blunt dissection. Then, for the reconstruction of the orbital floor a titanium plate previously formed on the model printed in 3D technology was used. A collagen membrane for isolating the soft tissue was placed on the titanium plate. The postoperational examination showed regression of double vision and improved her ocular movements in all directions. Conclusion. The operation with adequately 3D printed matched object to be implanted is much faster and the probability of correct shaping of the implanted object is much higher than in the case of manual shaping during the surgery.
Vaccines for preventing influenza in people with asthma.

BACKGROUND Influenza vaccination is recommended for asthmatic patients in many countries as observational studies have shown that influenza infection can be associated with asthma exacerbations, but influenza vaccination itself has the potential to adversely affect pulmonary function. A recent overview concluded that there was no clear benefit of influenza vaccination in patients with asthma but this conclusion was not based on a systematic search of the literature. OBJECTIVES Whilst influenza may cause asthma exacerbations, there is controversy about the use of influenza vaccinations, since they may precipitate an asthma attack in some people. The objective of this review was to assess the efficacy of influenza vaccination in children and adults with asthma. SEARCH STRATEGY We searched the Cochrane Airways Group trials register and checked reference lists of articles. The last search was carried out in September 2007. SELECTION CRITERIA Randomised trials of influenza vaccination in children (over two years of age) and adults with asthma. Studies involving people with chronic obstructive pulmonary disease were excluded. DATA COLLECTION AND ANALYSIS Inclusion criteria and assessment of trial quality were applied by two reviewers independently. Data extraction was done by two reviewers independently. Study authors were contacted for missing information. MAIN RESULTS Nine trials were initially included. Four of these trials were of high quality. Six further articles have been included in three updates (Bueving 2003; Castro 2001; Fleming 2006; Redding 2002; Reid 1998). The included studies covered a wide diversity of people, settings and types of influenza vaccination, but data from the more recent studies that used similar vaccines have been pooled. BENEFITS Bueving 2003 studied 696 children with asthma and did not demonstrate a significant reduction in influenza related asthma exacerbations (Risk Difference 0.01; 95% confidence interval -0.02 to 0.04). HARMS The pooled results of two trials involving 2306 people with asthma did not demonstrate a significant increase in asthma exacerbations in the two weeks following influenza vaccination (Risk Difference 0.00; 95% confidence interval -0.02 to 0.02). AUTHORS' CONCLUSIONS Uncertainty remains about the degree of protection vaccination affords against asthma exacerbations that are related to influenza infection. Evidence from recently published trials indicates that there is no significant increase in asthma exacerbations immediately after vaccination (at least with inactivated influenza vaccination). There is concern regarding possible increased wheezing and hospital admissions in infants given live intranasal vaccination.
Dynamic Programming for an Optimal and Equitable Public Load Shedding Schedule

This paper provides a method for an optimal and equitable schedule of public load shedding on any time interval and any number of sectors. By combining dynamic programming and knapsack techniques, the method gives a schedule that iterates over particular intervals. Simulation results with respect to actual schedules of a local energy company show the potential of this new approach for solving such a general problem that challenges many energy worldwide companies.
A system for privacy-preserving machine learning on personal data

This thesis describes the design and implementation of a system which allows users to generate machine learning models with their own data while preserving privacy. We approach the problem in two steps. First, we present a framework with which a user can collate personal data from a variety of sources in order to generate machine learning models for problems of the user's choosing. Second, we describe AnonML, a system which allows a group of users to share data privately in order to build models for classification. We analyze AnonML under differential privacy and test its performance on real-world datasets. In tandem, these two systems will help democratize machine learning, allowing people to make the most of their own data without relying on trusted third parties.
A unified flow control concept for flexible AC transmission systems

The control of an AC power system in real time is involved because power flow is a function of the transmission line impedance, the magnitude of the sending and receiving end voltages, and the phase angle between these voltages. It has been long realized that an all solid-state or advanced, static VAR compensator, which is the true equivalent of an ideal synchronous condenser, is technically feasible and, with the use of gate turn-off (GTO) thyristors, is economically viable. This uniform approach of power transmission control promises simplified system design, reduction in equipment size and installation labor, improvements in performance, and significant reduction in capital cost that is fueled by advances in power semiconductor technology. The objective of this paper is to outline the technical and economical factors which characterize the uniform, all solid-state power-flow controller approach for real time controlled, flexible AC transmission systems. (CACT).
Symptom-free in zero-g? Novel techniques for rapid assessment of vestibulo-ocular function and their use in predicting performance from baseline metrics

ii Acknowledgements . iv Dedication . v Table of Contents . vi List of Tables . ix List of Figures . x 1 Introduction . 1 1.1 Motivation . 1 1.2 Vestibular physiology . 6 1.3 Vestibular control of eye movements . 9 1.3.1 Quantifying vestibulo-ocular reflexes . 11 1.3. 2 Clear vision requires proper binocular positioning alignment . 13 1.3. 3 The vestibulo-ocular reflex facilitates gaze stability during head motion . 17 1.4 Vestibular adaptation to spaceflight . 24 1.4. 1 The otolith tilt-translation ambiguity and otolith tilt-translation reinterpretation hypothesis . 26 1.4. 2 Context-specific adaptation and adaptive generalization may facilitate preflight adaptation . 28 2 Experimental design and methods . 33 2.1 Introduction . 33 2.2 Definition of terms . 34 2.3 Test subjects . 38 2.4 Test environments . 40 2.4. 1 Parabolic-flight testing . 41 2.5 VOR adaptation experiments . 43 2.5. 1 VOR adaptation stimulus . 43 2.5. 2 VOR gain calculations . 46 3 Vertical and Torsional Alignment Nulling quantify binocular misalignments and forecast motion sickness susceptibility . 51 3.1 Introduction . 51
OF VIRGIN OLIVE OIL WITH EMPHASIS ON PHE- NOLIC COMPOUNDS

Review Summary Foods have been used historically, across cultures and for centuries, in treating disease and curing illness, owing to the role of antioxidants found naturally in foods. Also, it is known that in the process of historical development, virgin olive oil with a high content of antioxidants was consumed not only as food but also was used as a therapeutic agent in the treatment of various diseases, applied by rubbing onto the skin. Olives and the oil extracted from them by physical means are key nutrients in the Mediterranean diet pattern. They contain high amounts of bioactive compounds (polyphenols, tocopherols, phospholipids, carotenoids, chlorophylls, sterols and squalene) and possess high antioxidant potential. The supplementation of diets with virgin olive oil positively affects human health. The main objective of this review is to describe the physicochemical and nutritional characteristics of virgin olive oil and the influence of its physiologically active compounds, with special emphasis on the effect of phenolic compounds on human health.
Robust Fractional Model Predictive Controller (FMPC) Design for Under-Actuated Robotic Systems

In this paper a novel robust fractional model predictive controller is designed for under-actuated robotic system. The considered under-actuated robotic system is an inverted pendulum on a cart system with two degree of freedom and a control input. The system is modeled to its fractional equivalent model and approximated from the Oustaloup-Recursive-Approximation. From the approximated model a best model is chosen and fractional model predictive controller is designed. Robustness of the fractional model predictive controller is checked to the variations of the system parameters of inverted pendulum on a cart system.
Psychosocial factors that have an impact on depression of the elderly

Introduction: senescents are one of the important age groups of the Cuban population, being necessary to study depression, as one of the affective processes that are damaged with age increase, combining multiple factors. Objective: to describe the psychosocial factors that have an impact on depression of the elderly. Methods: exploratory, descriptive, cross-sectional study from January to December 2012 performed at "Felipe Poey" Teaching Polyclinic, Nueva Paz health area, it was applied a questionnaire to a sample of 146 elderly selected by opinion-based approach with specific inclusion criteria, exploring variables age, sex, psychological, social, and depression; a Geriatric Depression Scale to know the behavior of the disease. Results: there was a predominance of females in 64.38 %, being the group of 75-79 years, that of highest incidence, to 26.04 %, the psychological factor that most influenced depression was the fear of death, with 78,08 %, the social factor, the need for social communication, for 56,85 % between psychosomatic symptoms it was found hopelessness to 86.98 %, with predominance of the established depression in 50.69 %. Conclusions: there are multiple psychosocial factors of depression in the elderly combining psychological and social factors that are present in family cohabitation as maladjustment to retirement and social communication, being hopelessness typical that leads to major depression.
Methodologies in Supply Chain Management – What Do We Know ?

Investigates the methodology applied in supply chain management (SCM) research published in three academic journals from 1997 to 2004. The objective is to analyze and discuss by what research methods our current knowledge of SCM has been generated. 71 papers are identified as containing SCM. Empirical evidence is limited to approximately half of the articles, share of which is frequently generated by quantitative approaches. Conceptual work is weak on discussing fundamental assumptions of SCM (theory, methodology, philosophy of science). Theoretical foundations from a philosophy of science perspective are still unquestioned. Actor and level of analysis are primarily the manufacturing company and a supply chain perspective albeit the empirical evidence usually resides in the particular, focal company. Applications of non-logistics theories or concepts are not navigated by a more fundamental discussion of methodology.
A Model for Spurring Organizational Change Based on Faculty Experiences Working Together to Implement Problem-Based Learning

This research paper provides a case study of experiences of engineering faculty members at a large university in Ireland working together to transform their teaching methods. We investigate eight teachers’ experiences of a faculty-led learning community designed to help individuals transform their courses. This small collection of faculty met regularly to discuss ways to facilitate and assess students working in groups. Outside the group’s meetings, participants brought important issues to the forefront of formal and informal discussion with colleagues. Participation in the learning group encouraged, supported, and helped sustain change. This case study seeks to provide insight and a conceptual model for implementing changes. In analyzing the mechanisms that fostered change in one particular program and then interpreting the findings, we draw conclusions that can help faculty members, program administrators, strategists, and policy makers facilitate change in their other educational settings.