Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of intraocular pressure variance in moderate and high myopia

Purpose: Intraocular pressure changes have been, and still is, a topic of discussion. Increasing myopia has been constantly associated with increasing intraocular pressure. Myopia has long been identified as a risk factor for open angle glaucoma because of the changes in optic disc and pressure. Thus, repeated evaluation of all the factors that are related to changes in IOP levels is important. This can help to figure out the risk factors for open angle glaucoma in the form of variables that can be proved to be associated with IOP level changes. In this study, we will evaluate the intraocular pressure levels between moderate and high myopia, also taking age and gender in to account Methods: This is an Observational, hospital-based study conducted on 35 patients presented in the HAH centenary hospital in the period of 2 months at Delhi. Data confidentiality was maintained. The detailed demographic details along with ocular findings, systemic health findings, were collected for analysis. The test used for statistical analysis were Un-paired, 2tailed, T-test, Two way ANOVA test. The software MS EXCEL was used. Results: The hospital-based study conducted at HAH centenary hospital evaluated 35 myopic patients (70 eyes) in the period of 2 months. Out of 35 patients, 20(57%) were moderate myopic (-3.00D to <-6.00D) and 15(42%) were highly myopic (-6.00D and more). Range of the age being 1155years. 20(57%) females and 15(42%) males were present in the sample. Only one patient had IOP level more than 21mmhg and was further examined for glaucoma tests which came out negative. All the evaluated patients had a C/D ratio less than 0.5 Conclusion: No significant association was found between IOP and myopia along with other factors such as age and gender. Small sample size and avoiding various others factors such as ocular biomechanics, corneal thickness, curvature etc. can be the reason for it. Overcoming these limitations can help confirming a conclusion and give results that would be different and convincing. The study needs further research time and evaluation.
May Intrauterine Granulocyte Colony Stimulating Factor Improve Clinical & Ongoing Pregnancy & Live Birth Rates in Unexplained Repeated Implantation Failure Patients? A Randomized Clinical Trial

Introduction & Objective: To study whether intrauterine granulocyte colony stimulating factor (G-CSF) improves the rates of clinical and ongoing pregnancy and live birth rates in unexplained repeated implantation failure (RIF) patients on their new ICSI-ET program. Study Design: In University affiliated, Avicenna specialized center for fertility and repeated miscarriages 93 consenting unexplained RIF patients with normal endometrium and without any history of malignancy or uncontrolled background disease were enrolled in a registered, computer generated randomized double blinded placebo-controlled clinical trial. Patients underwent intrauterine perfusion of G-CSF or Placebo before ET and were monitored to calculate the Clinical & ongoing pregnancy and live birth rates in each group. Result: The mean age was 32.85±5.02 years in G-CSF and 33.57±4.63 years in placebo group. There were no differences in baseline characteristic of patients and the ICSI protocols in groups. clinical and ongoing pregnancy and live birth rates were 17%, 14.9% and 12.8% in G-CSF group and 21.4%, 17.4 %and 13 % in control group respectively and did not show any statistically significant difference between the two groups. No adverse side effect was seen in the study groups. Conclusions: In the study, intrauterine G-CSF did not affect clinical and ongoing pregnancy and live birth rates There was a nonsignificant improvement in clinical and ongoing pregnancy rate and also a reduction in the first trimester abortion in GCSF patients. Non-significant higher ongoing pregnancy and lower abortion rates in the G-CSF group may be due to limited sample size or low G-CSF dosage. So further multicenter studies with larger sample size or higher doses of G-CSF is recommended. Clinical Trial Registration Number: IRCT2013063011653N2.
A New Strategy for Reduction of Emissions and Enhancement of Performance Characteristics of Dual Fuel Engines at Part Loads

Increasingly restrictive emission regulations and renewed focus on energy efficiency drive the current researches to find alternative fuels and their related better combustion strategies. In this regard, dual fuel engines, in which natural gas fuel is used as a main fuel and diesel fuel is employed as a pilot fuel, have received considerable attention. However, poor fuel utilization efficiencies and high emissions of HC and CO may be encountered at light loads. This study focuses on improving the aforementioned drawbacks. Exhaust gas recirculation (EGR) and its inherent thermal energy can be used as an effective way to improve the performance and emission parameters of these engines at part load conditions. Therefore, in the laboratory of authors, an experimental work was conducted on an IDI Lister (8-1) dual fuel engine to investigate the effects of different levels of EGR temperature on combustion process, performance and emissions of these engines. The amount of EGR conducted into the engine was altered but its temperature level was considered constant at 10 and 50 percents of full load of engine. Results of this work show that the ignition delay and combustion durations shorten sufficiently by increasing EGR percentage and its temperature to a specified level. Also, CO and UHC emissions reduce whereas NOx emission increases but not too much for low percentage of EGR. Moreover, by employing low percentage of EGR, performance and emission parameters show better behavior in comparison with high percentage of EGR at a constant temperature.
Measurement of phase error distributions in silica-based arrayed-waveguide grating multiplexers by using Fourier transform spectroscopy

The phase errors caused by deviations in the designed lengths of the optical paths in silica-based arrayed-waveguide grating (AWG) multiplexers were measured using Fourier transform spectroscopy. The measurement accuracy was +or-1 degrees . The phase errors in an AWG multiplexer with a channel spacing of 10 GHz and a channel crosstalk of -15 dB were randomly distributed between -122 and 90 degrees . < >
EJEP as a Professional Training Program for Tokkatsu ~ Learning from Teachers’ Practices towards Egypt Vision 2030 ~

Egypt-Japan Education Partnership (EJEP) is a partnership for a professional development training program that was established between Egypt and Japan in 2016 towards actualizing the new education system “Education 2.0”. This program is based on Japan’s holistic educational curriculum model, known as “Tokkatsu” or special activities. The purpose of this research is to investigate how the program is contributing to developing new teaching methodologies and strategies through tokkatsu, and to examine the outcomes in teachers’ practices following the program as well as identifying the challenges they face. In this qualitative approach, a convenience sampling was used consisting of two trainees of batches one and two from different schools and different specialization. An inductive analysis of the reports submitted by the trainees prior to, during, and following the program; and an exchange of emails were conducted. This method was utilized as an alternative to the follow-up visit that follows the program; given the current circumstances. The results show positive outcomes and implementation of new learning methodologies in teachers’ practices acquired from EJEP. These new methodologies contributed to developing student’s agency and enhancing a self-learning atmosphere. Students became more engaged in school life through tokkatsu, and this was reflected in their academic behavior as well.
Cross-cultural adaptation and validation of the Self-efficacy Scale to Brush Teeth at Night Adaptação transcultural e validação da escala de autoeficácia para a escovação dentária noturna

Resumo O objetivo deste estudo foi realizar a adaptação transcultural e validação da “Escala de Autoeficácia para escovação dentária noturna” em uma população de adultos brasileiros. A tradução e a adaptação transcultural para a língua portuguesa foram realizadas de acordo com padrões recomendados na literatura. A validade de construto foi realizada por meio de análises fatoriais exploratória e confirmatória em uma amostra de 198 adultos. A confiabilidade do instrumento foi aferida pelos índices Alpha e Ômega. O modelo foi observado como unidimensional para todos os indicadores, com variância explicada de 85,7%, cargas fatoriais entre 0,85 e 0,91 e comunalidades entre 0,72 e 0,83. Os índices de ajuste do modelo apresentados pela análise confirmatória estiveram entre 0,98 e 0,99, com cargas fatoriais entre 0,85 e 0,93 e valores de regressão entre 0,69 e 0,84, indicando a qualidade do instrumento. Para a confiabilidade do instrumento, os valores de Alpha e Ômega apresentaram índices idênticos de 0,95, mostrando altos níveis de confiabilidade do modelo. O índice de replicabilidade G-H foi de 0,96, indicando a estabilidade da solução em outros contextos e amostras. Concluímos que todos os indicadores representaram excelentes evidências de validade da “Escala de Autoeficácia para Escovação Dentária Noturna”. Palavras-chave Autoeficácia, Saúde bucal, Psicometria, Medicina do comportamento Abstract This study aims to perform cross-cultural adaptation and validation of the “Self-efficacy scale to brush teeth at night” with a Brazilian adult population. Translation and cross-cultural adaptation to the Brazilian-Portuguese language were done according to the stages recommended in the literature. Construct validity was carried out by mean of exploratory and confirmatory factorial analysis in a sample of 198 adult subjects. The reliability of the instrument was measured by Alpha and Omega indices. The model was observed to have been established as one-dimensional for all indicators, with explained variance of 85.7%; factorial loads between 0.85 and 0.91; and with communalities between 0.72 and 0.83. The goodness of fit of the model shown by the confirmatory model were between 0.98 and 0.99; with factorial loads between 0.85 and 0.93, and regression values between 0.69 and 0.84, all above the minimum indices established for instrument quality. For reliability, the Alpha and Omega values had identical indices of 0.95 showing high levels of reliability of the model. The G-H index replicability was 0.96, indicating the stability of solution in other contexts and samples. We concluded that all indicators represented excellent evidence of scale validity to measure self-efficacy to brush teeth at night.
Finite Element Analyses of Mortarless Wall Panel

The complexity of mortarless masonry wall behaviour was primarily governed by its dry joints characteristic. Dry joint features can be found in mortarless wall construction where no adhesive or mortar layer present. The behaviour of mortarless wall was addressed previously by experimental and analytical work. However there are lacks of research of analytical work particularly on the mortarless masonry wall considering dry joint features due to its complexity characteristic. Therefore this paper present finite element analyses on series of mortarless wall model. The analyses results then verified by comparing the results and response with those measured through experimental to monitor the accuracy and reliability of program. A 2D finite element program was developed to analyse dry joint masonry wall. The developed program was able to analyse linear and nonlinear problem. Four series of finite element wall model were developed that consists of solid hollow wall model, wall with stiffeners model, and wall with window opening models that simulate under various eccentricity of loading. The models were simulated in nonlinear environment and under compressive vertical load. The results show that the model was able to predict the correct response of mortarless masonry panels with good agreement and its demonstrated adequacy to provide reasonable results. (Report and Opinion. 2009;1(2):1-16). (ISSN: 1553-9873).
Invention and international diffusion of climate change mitigation technologies: an empirical approach

This dissertation presents five empirical papers dealing with innovation activities in climate change mitigation technologies and their international diffusion. We first construct a data set including all patents filed worldwide since 1978 in 13 technologies with high climate change mitigation potential. We use this data to provide a descriptive analysis of innovative activity in these technologies and of their international diffusion. The data suggest that the Kyoto Protocol has induced more innovation in low carbon technologies. Both innovation and technology transfer are concentrated in developed countries, although exports to emerging economies are growing rapidly. We then use the same data to analyze the determinants of the cross-border diffusion of climate-friendly technology. We focus on the influence of various policy variables, including tariff rates, intellectual property rights and barriers to foreign direct investment. In the third paper, we focus on four renewable energy technologies and examine the influence of domestic and foreign regulation on innovation activity. We find strong evidence that inventors respond to foreign environmental regulation by increasing their innovation effort. In the second part, we build a data set of 644 projects registered under the Kyoto protocol's Clean Development Mechanism (CDM). We use this data to provide an assessment of the technology transfers that take place through the CDM and to analyze the drivers of technology transfer by CDM projects. In the last paper, we focus on four countries gathering about 75% of the CDM projects (Brazil, China, India and Mexico) and explain inter-country differences in transferring technology.
The Impact of Blockchain Bubble and Related Prediction Based on Investor’s Sentiment*

: Bitcoin investing has become increasingly popular recently. A myriad of researches has centred on it, while the conclusions are disparate. In this paper, the unary multiple linear regression model is introduced to investigate the relationship between Bitcoin volatility and investor sentiment, as well as the macro investing market, with the trading data tracing back to the beginning of 2004 from Coinmarketcap. An abnormal instability and significance level in the course of empirical research and robustness test are found surprisingly. Consequently, it is assumed, a priori, that this abnormity could be ascribed to the Blockchain industry upheaval in 2018. This assumption is proved in the supplementary period segment experiment that both of the roles of synthesized sentiment index and investing index appear to be conspicuously reversed before and after the collapse.
European Journal of Alternative Education Studies-ISSN 2501-5915

In this study, it is aimed to examine adult education policies in Turkey based on the views of managers, teachers, qualified instructors and trainees and to present a conceptual model for a future-based adult education system. The study is a case study and has the single nested case study design. Adult education policies in Turkey, which is the single case of the study; is considered in the dimensions of policy and strategy, organizational structure and implementation. By using semi-structured interview technique in the study, data on the features of a future-based adult education system were collected from a total of 32 managers, teachers, qualified instructors and trainees who played a role in the adult education system in Turkey and were selected through stratified purposeful sampling. Content analysis, one of the qualitative data analysis methods, was used for the analysis of the data. In consequence of the study, certain findings related to the basic features of a future-based adult education system have been reached particularly in the dimensions of policy and strategy, organizational structure and implementation, educational qualifications, human capital education and sustainable development, organizational autonomy, access and participation, teaching methods and techniques and content. As a result of the study, it is suggested for the implementers that a restructuring process should be initiated towards a productive, employable, selfsufficient and sustainable economic structure in adult education. As for the researchers, quantitative and qualitative studies are also recommended in the dimensions of human capital education, sustainable development, global change and developments, and 21st century skills.
Prediction of damage mechanisms of cross-ply composite materials using novel non-linear multiscale methodologies

In the present work, a novel multiscale material methodology is applied to a finite element mesh of a cross-ply composite material in tension in order to study the progressive damage and failure of the material at multiple scales by combining damage evolution models and failure criteria in microscale and cohesive zone modeling in macroscale. The micromechanics user material (Umat) developed follows a nonlinear version of the Mori–Tanaka theory and is coupled with mesoscale damage model. The concept of this user material is to dehomogenize-localize the strain tensor at each integration point for each time increment using Eshelby’s theories and strain concentration tensors. This material implementation allows the researcher to analyze results at two scales in the post processing stage, both for the composite material and the constituents for each time increment. It is observed that in the multiscale model the results are closer to the experimental measurements and even more damage mechanisms can be predicted, such as matrix damage and fiber failure. The developed multiscale methodology is advantageous since the constituents can follow different material models, with many failure criteria. It is also capable of predicting stresses, strains, plastic strains and more analysis variables not only in the macroscale-homogeneous level but also in microscale constituent-wise level.
The performance of an algorithm for minimax design of two-dimensional linear phase FIR digital filters

In this paper we describe an algorithm for minimax design of two-dimensional FIR linear phase digital filters. A recently proposed minimax algorithm due to Charalambous in conjunction with Powell's conjugate direction algorithm will be used to obtain the optimum results. Optimal results obtained using the present approach on a large number of design examples are presented. Also a detail discussion on the effect of various symmetries of the impulse response on the amplitude response of the filter is presented.
A novel method to improve the performance of microstrip antenna arrays using a dumbbell EBG structure

A double element microstrip antenna array inserted with a newly developed electromagnetic band gap (EBG) structure has been investigated, showing that the S21 transmission coefficient between the elements is reduced by around 4 dB. As a result, sidelobe levels are reduced by 1.8 to 2.1 dB and an increase of 1 dB in the gain has been achieved, without much change in other characteristics. Using the EBG structure has proved to be a convenient way to upgrade the performance of an antenna array.
Development of IoT Based Cuffless Blood Pressure Measurement System

Hypertension, commonly known as high blood pressure, is a major concern for people globally and in Malaysia. The hypertensive patient must commute to the hospital visiting their physician regularly for blood pressure (BP) monitoring using a cuff-based device. The patient may feel uncomfortable and pain when the device inflates the cuff and tightens around the arm for a BP measurement. Hence, to overcome this problem, this paper proposed a cuffless BP measurement using pulse transit time (PTT). In this method, a delay time between the peak of Photoplethysmogram (PPG) signals at the fingertip and the earlobe were correlated with BP. These signals were transferred to a computer via Arduino uno microcontroller and analyzed by the MATLAB R2019a software. A preliminary result shows that the developed system is able to record PTT and display the estimated BP value on the ThingSpeak webpage and ThingView apps. With the IoT platform, the cuffless BP can be monitor remotely, and the results can be store on the cloud healthcare system for hypertensive management.
The effect of video - karaoke based lessons and not video - Karaoke based lessons in the learning of early EFL vocabulary to preschoolslers at the Corazonista School

6 CHAPTER 1: Introduction Statement of the problem.8 Research question.9 Research objectives.10 Rationale.10 CHAPTER 2: Theoretical framework Vocabulary range and quality for kids.12 Good lessons for kids: teaching and learning strategies.14 Learning Needs for children.16 The Natural Approach.17 Vocabulary Acquisition.18 Music in Learning Language.21 Children Learning Environment.23 CBI: Content Based Instruction.24 CHAPTER 3: Research design Type of study.26 Researchers’ role.27 Context.27 Participants.29 Data collection instruments.30 Data collection procedures.32 THE EFFECT OF VIDEO-KARAOKE AND NOT VIDEO-KARAOKE BASED LESSONS 5 CHAPTER 4: Pedagogical intervention and Implementation.35 CHAPTER 5: Data Analysis and Findings.41 CHAPTER 6: Conclusions, Pedagogical Implications, Limitations, and Further Research Conclusions.86 Pedagogical Implications.91 Limitations.92 Further Research.92 BIBLIOGRAPHY.94 APPENDICES Appendix A: Consent letter principal.97 Appendix B: Consent letter parents.98 Appendix C: Initial Survey . 99 Appendix D: Results of the survey . 100 Appendix E: Preliminary lesson . 101 Appendix F: Not Video karaoke based lesson one . 105 Appendix G: Not Video karaoke based lesson two . 107 Appendix H: Video karaoke based lesson one . 109 Appendix I: Video karaoke based lesson two . 111 Appendix J: Timeline . 116 Appendix K: Images of karaoke software and Pictures . 117 THE EFFECT OF VIDEO-KARAOKE AND NOT VIDEO-KARAOKE BASED LESSONS 6
SPIRAL GROOVE BEARINGS

Our work on spiral groove bearings in the Research Laboratories began in 1960, when we were consulted on the following problem. Would it be possible to make a wear‐resistant thrust bearing able to take up to about 1 kg thrust from a shaft rotating at at least 50,000 r.p.m. , without incurring a power consumption much in excess of 1.5 watts ? The bearing was to support the end of the shaft, and it had to be suitable for operation in a vacuum.
Identifying drug-resistant tuberculosis from chest X-ray images using a simple convolutional neural network

Tuberculosis(TB) is one of the top 10 causes of death worldwide, and drug-resistant TB is a major public health concern especially in resource-constrained countries. In such countries, molecular diagnosis of drug-resistant TB remains a challenge; and imaging tools such as X-rays, which are cheaply and widely available, can be a valuable supplemental resource for early detection and screening. This study uses a specialized convolutional neural network to perform binary classification of chest X-ray images to classify drug-resistant and drug-sensitive TB. The models were trained and validated using the TBPortals dataset which contains 2,973 labeled X-ray images from TB patients. The classifiers were able to identify the presence or absence of drug-resistant Tuberculosis with an AUROC between 0.66–0.67, which is an improvement over previous attempts using deep learning networks.