Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of hypertensive retinopathy in patients of essential hypertension with high serum lipids

Purpose: To evaluate the role of hyperlipidemia on fundus changes in hypertensive patients and to correlate the above findings with components of lipid profile. Materials and Methods: A cross-sectional study was carried out in 100 patients who were diagnosed to have systemic hypertension. Patients suffering from diabetes, high myopia, patients with hazy ocular media, and other retinal vascular disorders were excluded from the study. A detailed evaluation of patients' hypertensive status was carried out by a physician after ruling out secondary causes of hypertension. Their detailed ophthalmological examination was carried out. All the patients were investigated for fasting serum lipid profile. Results: Out of the 100 patients with essential hypertension, 69 (69%) had retinopathy and the remaining 31 (31%) subjects having retinopathy were mainly concentrated in the 6 th decade (69.70%), increasing thereafter up to 83.78% who were over 60 years of age. This shows the increasing prevalence of hypertensive retinopathy with increasing age. No sex preponderance toward developing retinopathy was found in this study (o P P P P Conclusion: This study proved a definite association between serum lipid parameters and the prevalence of hypertensive retinopathy.
First Implementation of VHML on the Java Text-to-Speech Synthesiser

Current text-to-speech technology is able to produce highly understandable speech using concatenative synthesisers. The presence of emotion in speech is known to improve communication as it provides more naturalness and makes it sound more human-like. The work presented here describes the construction of a structure that provides emotion to the FreeTTS text-to-speech synthesiser, in the new area of text-to-speech synthesis in Java. The Virtual Human Markup Language is used to control emotion as well as prosody in the synthetic speech. The implementation of a markup language, VHML in particular, within FreeTTS is also described. A questionnaire based evaluation provides information on how well the emotions in the synthetic speech were recognised and how the recognition of these emotions compares to similar research in the field of emotion in speech.
Optimizing Query Results Integration Process Using an Extended Fuzzy C-Means Algorithm

Cleaning duplicate data is a major problem that persists even though many works have been done to solve it, due to the exponential growth of data amount treated and the necessity to use scalable and speed algorithms. This problem depends on the type and quality of data, and differs according to the volume of data set manipulated. In this paper we are going to introduce a novel framework based on extended fuzzy C-means algorithm by using topic ontology. This work aims to improve the OLAP querying process over heterogeneous data warehouses that contain big data sets, by improving query results integration, eliminating redundancies by using the extended classification algorithm, and measuring the loss of information.
ANALISIS KUALITAS LAYANAN RESTORAN DENGAN MENGGUNAKAN MODEL KANO-PRCA DAN AIM

Dalam penelitian ini, 28 atribut layanan teridentifikasi untuk menilai kualitas layanan restoran. Analisis Kano dengan model Penalty Reward Contrast Analysis (PRCA) digunakan untuk mengklasifikasikan apakah atribut tersebut termasuk kategori performance, basic, excitement, atau indifferent. Selanjutnya, untuk menilai skor kepuasan dan tingkat kepentingan masing-masing atribut layanan digunakan metode Adequacy Importance Model (AIM). Hasil integrasi kedua model ini (PRCA dan AIM) dapat digunakan untuk menentukan apakah atribut layanan perlu ditingkatkan atau dipertahankan. Hasil penelitian menunjukkan bahwa terdapat lima atribut layanan yang harus ditingkatkan dan dua puluh tiga atribut layanan yang sudah baik dan harus dipertahankan. Kata kunci: Analisa jabatan, evaluasi jabatan, Analytical Hierarchy Process, Point System, struktur gaji dasar.
Analysis of large stochastic petri net models

Stochastic Petri nets are a powerful formalism for modeling a wide range of systems and system behaviors. In computer science, they are effectively used in the performance and reliability evaluation of hardware and software systems. Generally, SPNs must be studied using Monte-Carlo simulation, which is frequently too expensive. Under certain conditions, a Markov analysis is possible, but the exponential growth of the state space poses practical limitations. This thesis studies the theoretical feasibility of such analysis and explores techniques to cope with, or reduce, the exponential growth. First, we consider several extensions to the Petri net formalism and we prove an upper bound on the size of a PN with inhibitor arcs that "simulates" a PN with transition priorities, and vice versa. Then, we define "Semi-Markov SPNs", unifying into a single framework SPNs with geometric, constant, exponential, and phase-type firing time distributions. We also provide a formal interpretation of the "absorbing loop of vanishing markings", which was previously considered an error in GSPNs. The concept of output measure for a SPN is formalized using stochastic reward theory. For a SMSPN, the computation of an output measure is reduced to the study of a semi-Markov reward process. We show that the computation of the accumulated reward up to absorption in such a process has the same distribution as the time to absorption in a related semi-Markov process. We compare a steady-state solution method for GSPNs based on semi-Markov processes with the standard approach that requires "elimination of the vanishing markings". The SMP-based method is faster than the traditional approach when "M-to-N-switches" are present. We demonstrate an iterative technique to decompose a SPN with a "nearly-independent" structure. The analysis time is greatly reduced and exact output measures are obtained under certain conditions. Theoretical results and extensive sets of experiments suggest that the approximations are satisfactory when the conditions are "almost met". Finally, we illustrate the use of SPNs by modeling the availability of a distributed file system, the throughout of an Ada tasking system, and the productivity of a flexible manufacturing system.
Application of Latex in Teaching and Scientific Research for Chinese under International Environment

LaTeX is an international typesetting system widely used in writing and editing documents of teaching and scientific research work. It was originally developed as an English oriented automatic system, but it is now possible to identify Chinese by developing designs. The main feature of LaTeX is the ability to quickly process complex mathematical formulas and tables with simple statements. Besides, LaTeX specifies the hierarchy of whole article, users can process each hierarchical structure at one time, and directly generate stable PDF documents. LaTeX, due to its stable and intelligent layout function, plays more and more important role in the exchange and cooperation of international teaching and research area.
Chemical Master Equation Empirical Moment Closure

The numerical solution of the Chemical Master Equation (CME) governing gene regulatory networks and cell signaling processes remains a challenging task due to its complexity, exponentially growing with the number of species involved. When considering separated representations of the probability distribution function within the Proper Generalized Decomposition-PGD-frame-work the complexity of the CME grows only linearly with the number of state space dimensions. In order to speed up calculations moment-based descriptions are usually preferred, however these descriptions involve the necessity of using closure relations whose impact on the calculated solution is most of time unpredictable. In this work we propose an empirical closure, fitted from the solution of the chemical master equation, the last solved within the PGD framework.
Modeling, Design and Optimization of a Lightweight Robotic Arm Toward Assisted Living Applications

The prospect of utilizing lightweight robots in human’s daily lives has great appeal. For example, lightweight robotic arms mounted on mobile platforms can be used to assist elderly, disabled or immobilized people either on a daily basis or as part of rehabilitation and training programs. The demand for lightweight robotic arms in this context is, in many ways, intuitive, since it is replacing the human arm. The human arm payload-to-weight ratio is clearly that of an extreme lightweight robot. In order to meet the lightweight criteria, design issues such as joint configurations, selection of motors and gearboxes, structural dimensions, and most importantly, the robot mass, have to be considered. Utilizing systematic optimization methods to reduce the weight, while other issues are also considered, is a suitable approach to handle such a complex task. The objective of the project is to design a lightweight robotic arm for people assistance applications. As a result, methods for optimal design of lightweight robotic arms have been developed and implemented for a 5 degrees of freedom topology. Both virtual and real prototyping have been carried out, and modeling has covered such disciplines as multibody kinematics and dynamics, drive-train dynamics and structural finite element. To make the robot lightweight, the optimization method is extensively utilized to minimize the mass of the robotic arm. The optimization of the robotic arm is conducted at three different levels, with the main objective to minimize the robot mass. At the first level, only the drive-train of the robotic arm is optimized. The design process of a robotic arm is decomposed into selection of components for the drive-train to reduce the weight. The drive-train in each joint is modeled so that the calculated torque of each joint can be easily referenced to the rotor of motor. Three constraints are formulated on the performance of motors, and three constraints are on gearboxes. A co-simulation platform is developed, that returns the optimal selection of motors and gearboxes for each joint. At the second level, kinematic data is combined with the drive-train in the optimization. For this purpose, a dynamic model of the robot
ON RAW INERTIAL MEASUREMENTS IN DYNAMIC NETWORKS

Abstract. Dynamic Networks have been introduced in the literature to solve multi-sensor fusion problems for navigation and mapping. They have been shown to outperform conventional methods in challenging scenarios, such as corridor mapping or self-calibration. In this work we investigate the problem of how raw inertial readings can be fused with GNSS position observations in Dynamic Networks (DN) with the goal of i) limiting the number of unknowns in the estimation problem and ii) improving the conditioning of the normal equations arising in least-squares adjustments in the absence of spatial constraints (e.g., image observations). For that we propose a modified version of the well known IMU-preintegration method, accounting for a non-constant gravity model, the Earth rotation and the apparent Coriolis force, and we compare it with the conventional DN formulation in a emulated scenario. This consists of a fixed-wing UAV flying four times over a 2 km long corridor.
Do the results of BIG 1-98 assist with patient management decisions?

It goes without saying that the primary purpose of clinical trials is to provide data that indicates which treatment provides the best outcome for patients (ideally the individual patient); and in the context of adjuvant treatment for breast cancer this means maximisation of the chance of overall survival or ‘cure’. In the real world such conclusions may be difficult to reach for a variety of reasons.
Misoprostol before Elective Caesarean Section for Decreasing the Neonatal Respiratory Morbidity: A Randomized Control Trial

Background: neonatal respiratory morbidities are common neonatal outcome the worrisome the mothers the most when approaching labour. They vary in clinical presentations with various long term effects, the most importantly related to caesarean section are Transient Tachypnea of the Newborn (TTN), Respiratory Distress Syndrome (RDS), Persistent Pulmonary Hypertension (PPHN). Aim of the Work: the aim of this study is to assess the efficacy of Misoprostol or the Prostaglandin E1( PGE1) on the reduction of the neonatal respiratory morbidity in women scheduled for term caesarean section (38-38+6 weeks Gestational Age (GA). Patients and Methods: this is a Randomized Controlled Trial (RCT) which was conducted over six months from November 2016, to April 2017 on 120 pregnant women who were approached before elective caesarean section (ECS), managed in Ain Shams University Maternity Hospital (ASUMH), and their neonates followed up in the Neonatal Intensive Care Unit (NICU) of Ain Shams University Maternity Hospital to assess the effect of Misoprostol when given for women one hour before their scheduled caesarean section upon reducing the neonatal respiratory morbidity. Results: the current study revealed a highly statistically significant difference between groups according to respiratory morbidity, and especially the TTN using Chi-square test, with p-value <0.001 Highly Significant. Conclusion: the study concluded that when a vaginal tab containing Misoprostol 200 microgram given to women one hour before term elective caesarean section between 38-38+6 weeks compared to placebo, it simulates the normal labour to enable the neonate through catecholamines surge, and thus surfactant secretion for better adaptation to the extrauterine life. Recommendations: Misoprostol can be administered vaginally to candidate pregnant women with term pregnancies with certain inclusion criteria before an elective caesarean section (after exclusion of any contraindication and thorough good history taking and clinical examination) in order to reduce the neonatal respiratory morbidity and especially the transient tachypnea of newborn. Thus, decrease the duration of neonatal NICU admission and mortality.
Williams' Minimal Spatial Design and His Preoccupation with Chinese Poetry

In creating a minimal spatial design in 1916—1920,the American modernist poet William Carlos Williams used jueju as a model.Poems of the period "To the Shade of Po Chu-I" and "The Red Wheelbarrow" are cited to support this argument.In the 1940s and 1950s Williams abandoned this style to pursue a "triadic" poetry.It was his 1958—1961 effort to translate some 30 Chinese poems in collaboration with the Chinese American scholar Wang Shenfu(David Raphael Wang)that helped him restore his minimal spatial poetics in his final years.
Impact of Health Education on Women in Residential Substance Abuse Treatment: A Pilot Study

&NA; There is limited knowledge on the assessment of health education needs in women who are in substance abuse treatment. This pilot study tests the use of a health education program designed to increase health knowledge among a small group of women in active treatment, living in a residential center. The USDHHS Office on Women's Health has published model guides for women's health education in A Lifetime of Good Health—Your Guide to Staying Healthy (2009) and the 2009 Women's Health Calendar (2008). The health education program EMPOWER was developed from these materials and presented to 16 women over a 7 week period. Impact was measured by (1) responses to a health perception survey (SF‐36v2) before and after the intervention, and (2) review of weekly reflective journal entries. Findings suggest that women did have improved perceptions of health in important physical and mental health domains. This study also reveals a need for development of a more accurate tool for measuring health education. Women express fear and worry about the future in terms of health, and see their children as huge motivators for improving health. The USDHHS publications do provide a roadmap for women in high risk groups to guide self‐care.
Application of RFLP-PCR method for molecular diagnostics of hereditary non-polyposis colorectal cancer (HNPCC)

Colorectal cancer is one of the leading causes of cancer deaths, constituting a major public health concern. Epidemiologic studies have revealed a number of risk factors for colorectal cancer including age, family history of colon cancer or infl ammatory bowel disease, smoking, alcohol consumption, obesity, and diet. Mutations in MSH2 and MLH2 genes are associated with colon cancer in many studies published to date. The aim of the presented study was to assess the associations of MSH2 and MLH1 genes mutations with colorectal cancer in a Polish population, using the PCR-RFLP method. Mutations in the exon 1 of both genes were detected using the PCR-RFLP method in colorectal patients and healthy individuals. There were no statistical diff erences in the presence of mutations between colorectal cancer and healthy groups. The PCR-RFLP method is not suitable for the detection of mutant alleles present in less than 5-10% of wild-type alleles. This is probably the reason why in the present study, the analysis did not allow the fi nding of genetic diff erences in the fi rst exons of MSH2 and MLH1 genes between healthy individuals and those with the colorectal cancer. It is reasonable to continue studies based on RFLP-PCR, because the costs of this method are low compared to the sequencing method.
STUDIES ON CONFIGURATION AND RECOVERY TECHNIQUES FOR FAULT-TOLERANT COMPUTING SYSTEMS

Contents / p11 Abstract / p7 Acknowledgements / p9 Contents / p11 List of Figures / p15 List of Tables / p19 1 Introduction / p1 1.1 Configuration and Recovery Techniques for Fault-Tolerance / p1 1.2 Organization of Dissertation / p7 References / p9 2 Evaluation for Database Recovery Mechanisms / p15 2.1 A Recovery Mechanism with Periodical Checkpoint Generations / p15 2.2 Checkpoint Generations in a Time Varying Load Situation / p37 References / p55 3 Effects of Time Redundancy by Retries / p57 3.1 Introduction / p57 3.2 Model for a Retry Procedure / p60 3.3 Analysis / p63 3.4 Numerical Illustrations / p70 3.5 Concluding Remarks / p82 References / p86 4 Reliability/Performance Evaluation for Multi-Processor Systems from the Viewpoint of Transaction Assignments / p89 4.1 Introduction / p89 4.2 Multi-Processor System Modeling / p91 4.3 Model 1 / p93 4.4 Model 2 / p100 4.5 Numerical Illustrations / p106 4.6 Concluding Remarks / p111 References / p114 5 A Reliability Evaluation Software Package Tool for Markov Models with Many States / p117 5.1 Introduction / p117 5.2 Mathematical Preliminaries / p119 5.3 Applications / p126 5.4 Concluding Remarks / p135 References / p135 6 Conclusion / p139 Publications List of the Author / p145
Gated Time Delay Neural Network for Speech Recognition

In deep neural networks, the gate mechanism is a very effective tool for controlling the information flow. For example, the gates of Long Short-Term Memory (LSTM) help alleviate the gradient vanishing problem. In addition, these gates preserve useful information. We believe that it will benefit if the system learns to explicitly focus on the relevant dimensions of the input. In this paper, we propose Gated Time Delay Neural Networks (Gated TDNN) for speech recognition. Time-delay layers are utilized to model the long temporal context correlation of speech signal while the gate mechanism enables the model to discover the relevant dimensions of the input. Our experimental results on the Switchboard and the Librispeech data sets demonstrate the effectiveness of the proposed method.
Lifestyle habits and quality of life in established rheumatoid arthritis

Rheumatoid Arthritis (RA) is a chronic, inflammatory, and systemic disease of unknown aetiology that affects 0.5‒1.0% of the population in Europe, more women than men. Pain, physical disability, fatigue, and sleep disturbances are some of the most pronounced symptoms in patients with a more severe disease or with a longer disease duration, resulting in activity limitations that affect quality of life. RA is associated with an increased risk of developing comorbidities, some of which are known to be associated with a sedentary lifestyle. A healthy lifestyle can reduce the risk to develop diseases and help to improve quality of life in patients with RA. In guidelines and recommendations for management of patients with RA, health professionals are encouraged to prioritise discussions about lifestyle, especially physical activity, diet, smoking, and alcohol use. The overall aim of the present work was to explore factors that affect disability and quality of life in patients with established RA, especially on lifestyle habits (physical activity, diet, smoking, and alcohol use) and whether they are addressed in the clinic. The papers are based on a cohort of patients with established RA included in the Better Anti-Rheumatic Pharmacotherapy (BARFOT). Paper I is a longitudinal cohort study based on baseline and 5-18 years follow-up data from 1,387 patients who responded to a lifestyle questionnaire in 2010. Paper II is based on a qualitative content analysis, including interviews with 22 patients. Paper III is based a phenomenographic approach, including interviews with. 22 patients. Paper IV is a cross-sectional study including 1,061 patients who responded to a lifestyle questionnaire in 2017. Function and pain at onset of disease in patients with RA were found to be prognostic measures of a worse physical function several years later but none of the variables studied could predict who did or did not meet WHO recommendations for physical activity in 2010. Quality of life in patients with established RA was influenced by the balance between the ideal situation and the reality with regard to the lifestyle habits physical activity, diet, smoking, and alcohol use. These lifestyle habits influenced quality of life through limitation, selfregulation, and companionship. Quality of life was conceived as independence in terms of physical functioning and financial resources, as empowerment in how to manage life, and as participation in the experience of belonging in a social context. Although being regarded as important, lifestyle habits had not regularly been discussed at health care visits, and was not always requested by the patients. This implies the importance of that health care professionals actively discuss lifestyle habits from a biopsychosocial perspective as an integral part of RA management. (Less)
PRIMARY MONOLAYER CULTURE OF ADULT RAT HEPATOCYTES IN A SERUM-FREE SYSTEM: METABOLIC AND MORPHOLOGICAL STUDIES

Adult rat hepatocytes were cultured in the serum free medium, HI/WO,/BA2000 or in Leibovitz’s L-l5 (L-l5) with 10% fetal calf serum for the initial 24 hr, and without fetal calf serum during a subsequent period. The rates of albumin synthesis and on-aminoisobutyric acid uptake in the hepatocytes cultured in HI/W0,/BA2000 were 2.0 and 2.7 times higher, respectively, than the rates in the hepatocytes cultured in L-15. Tyrosine aminotransferase in the hepatocytes cultured in HI/W0,/BAND, was induced by dexamethasone to approximately the same extent as in the hepatocytes cultured in L-l5. Morphological studies, plating efficiency and trypan blue dye exclusion by cells indicated that HI/W0,/BA2000 was superior to L-l5 as a culture medium. The data suggest that the completely synthetic culture medium, HI/W0,/BAZOOO, is useful for investigating the effects of hormones and drugs on the metabolism of liver cells.
The Nuclear Techniques and the Selection of Model Parameters in Big Data

Now a large scale of data every day, the large-scale data is usually in the form of database storage. The law of the people wants to find useful or knowledge, thus was born the Data Mining technology. SVM (Support Vector Machine, SVM) is a very useful method in data mining, this paper mainly discusses the Support Vector Machine (SVM) play a key role in nuclear techniques and the selection of model parameters is analyzed and evaluated. This article some methods about how to construct the kernel function is introduced for the model to find suitable kernel function is to provide some reference strategies and proposed kernel function method for the simulation analysis.