Miracle-dz/UniFAR-FTUs huggingface dataset:
Smartphones for Vision Rehabilitation: Accessible Features and Apps, Opportunity, Challenges, and Usability Evaluation

In today’s world, digital technology and smartphones have become a part of our everyday lives. Smartphones are one of the most advance forms of digital technology that can be viewed as assistive technology for disabled, including for individual with a visual loss. However, they are often not considered as assistive technology for visual impairment and blind, especially in low middle-income countries. There have been a lot of development in the mobile technology that incorporates computer technology, including electronic information, communication technology as well as touch-screen accessibility. Such an advancement in smart technology of mobile devices leads to the transformation of the interface technique from visual smartphones interaction into a truly eyes-free means interaction by using other body senses, such as haptic, gesture, and sound, etc. These innovative accessible features and applications enhance the accessibility of smartphones significantly to individuals with visual impairment. There are many built-in accessible features and third-party accessible applications that enable to access many useful information and contents in the smartphones. Such aesthetic technology facilitates in performing daily activities, independent functioning, movement, social inclusion and participation, educational activities, accessing information of today’s digital society, sighted help, and finally helps to improve the quality of life. Therefore, these smart technologies make smartphones to serve as assistive technology for people with visual impairment and blindness. The smartphones are visually and physically demanding, and are ubiquitous any time and any place, and user can carry it at everywhere. They are universally design, so less social stigma to the users and less discomfort when using it. To view smartphones as assistive technology universally, healthcare providers, caregivers or rehabilitation professionals need to be informed, and make aware of the beneficial aspect of smartphones and its accessibility. Finally, engineers and developers are continuously fostering to develop more innovative and readily accessible apps for visual impairment. Since single app does not fit all purposes for visual impairment and blind, there is a potential need of developing clinical guidelines on the use of such accessible apps or features that will help to recommend appropriately for various types of functions.
Illegal fishing and catch potentials among small-scale fishers: application of an endogenous Switching regression model

Abstract Capture fish stocks are facing an increasing threat of extinction, partly due to the use of illegal fishing methods. In developing coastal countries – where fishing activities are the mainstay of the population along the coast – livelihoods are being directly threatened. Although a number of studies exist on fishing regulations and those who violate them, little has been done on the relationship between intrinsic catch potentials/fishing skills and illegal fishing behavior. Using data on violations of light attraction regulation among small-scale fishers in Ghana, our results show that the risk of punishment, the amount of fishing experience, the skipper's age, and religious norms all influence the decision to violate fishing regulations. Most importantly, we found that violators and non-violators have different fishing skills. Consequently, policies targeting illegal fishing must focus on equalizing efficiency and/or fishing skills among the fishermen as well as on traditional variables that influence violation decisions.
Magnetorheological methods for nanofinishing – a review

ABSTRACT The functional requirement of the components as well as safety and aesthetic compulsion make it necessary to improve the surface characteristics before putting it into the useful applications. Therefore, it is important to achieve superior surface finish very close to dimensional precision. Also, 3D components are being found more useful in today’s industries which lead to an increased demand for nanofinishing. This article mainly emphasizes on the analysis of magnetorheological methods suited for finishing of various surfaces. The surface is mainly finished by the abrasives hold within carbonyl iron particles chains in magnetorheological fluid during operation. The traditional finishing methods are comparatively less valuable in case of 3D surface finish due to lack of better controllable finishing force and constraint in tool movement. Magnetorheological methods were found to have better control over the forces and more flexibility in tool movement over various types of surfaces. Recently, a new finishing method, the ball end magnetorheological finishing was developed and found more suitable method for finishing of 3D surfaces as its tool moves on surface similar to milling cutter tool during machining. The selection of finishing particles in magnetorheological method plays an important role for ultrafine finishing of new engineering materials.
Paraphrases related to the language of advertising

Submitted: 9 March 2021 Revised: 18 April 2021 Accepted: 14 May 2021 The article deals with the language of advertising in Uzbek Language. The objective of the work is to provide the analysis of language of advertising from linguistic point of view and specify linguistic means used in advertising texts. The format of the advertising text is a certain difference compared to other functional properties of the text style. This is one of the distinguishing features mentioned are used in the title of any kind of short news reports in newspapers. The title of the advertising is important to the composition of the advertising creation relevant information. It’s the most important and interesting part of the target audience to attract attention. Text title, in general, does not explain all the details. We have the scientific language of the advertising text in a statement issued through the media; we will focus on the style characteristics of scientific and scholarly texts.
Computational classification of animals for a highway detection system

As colisoes entre veiculos e animais representam um serio problema na infraestrutura rodoviaria. Para evitar tais acidentes, medidas mitigatorias tem sido aplicadas em diferentes regioes do mundo. Neste projeto e apresentado um sistema de deteccao de animais em rodovias utilizando visao computacional e algoritmo de aprendizado de maquina. Os modelos foram treinados para classificar dois grupos de animais: capivaras e equideos. Foram utilizadas duas variantes da rede neural convolucional chamada Yolo (voce so ve uma vez) — Yolov4 e Yolov4-tiny (versao mais leve da rede) — e o treinamento foi realizado a partir de modelos pre-treinados. Testes de deteccao foram realizados em 147 imagens e os resultados de precisao obtidos foram de 84,87% e 79,87% para Yolov4 e Yolov4-tiny, respectivamente. O sistema proposto tem o potencial de melhorar a seguranca rodoviaria reduzindo ou prevenindo acidentes com animais.
IMPACTS OF MANGA ON INDONESIAN READERS' SELF-EFFICACY AND BEHAVIOR INTENTIONS TO IMITATE ITS VISUALS

This study investigated the reasons behind the phenomenon of young Indonesians who imitate the visuals commonly found within Japanese manga from cognitive aspects by linking emotion, manga visual attractiveness, behavior change and self-efficacy. Utilizing within subjects design, 107 Indonesian youths read both manga comic book, Naruto, and a non-manga comic book, The Adventures of Tintin, in random order and rated their perceived attractiveness and behavioral intentions in imitating each comic’s visuals. The participants also rated their behavioral intentions in imitating their own visual preferences as the control group. Results indicate that manga comic book scored significantly higher in term of perceived attractiveness compared to non-manga comic book. It also indicates there are significant correlations between major source of self-efficacy and behavior intentions in imitating visuals of manga. The majority of participants also mentioned manga as their main personal visual influences. These findings further confirm manga’s visual and emotional attractiveness as the main influence behind the aforementioned imitating phenomenon.
The Effect of Using Small-Sided Games on Developing the Skill Performance Level of Advanced Football Course Students at Mutah University

The small-sided games are widely used by coaches to develop physical abilities, technical and tactical skills. This study aimed at investigating the effect of using small-sided games on developing the level of skillful performance of students of an advanced football course at Mutah University. The study sample consisted of 28 students of both genders, which were chosen from an advanced football course at Mutah University and were divided into two groups (14 each). The experimental approach was applied, while "t-test" was used to detect the differences between the control and the experimental and to detect the differences between the members of the two groups at the post application stage. The results showed statistically significant differences at the level of significance (α≤0.05) in the Preand post-measurements of the effect of using small-sided games on developing abilities and the skill level. And statistically significant differences were detected for the benefit of post measurement for students of an advanced football course. The results also showed that there were statistically significant differences at the significance level (α≤0.05) in the Post measurement, between the use of small-sided games and the regular training in developing the level of skill performance, and for the benefit of the small-sided games for students of an advanced football course. The researcher recommended the importance of making use of the small-sided games program to developing the level of skillful performance of students in football courses, in all departments and colleges of Physical Education and for both genders in Jordan.
Dietary Intake and Nutrition Knowledge

Additional nutrient demands are encountered during adolescence, the major period of growth during the human life cycle. In order that these demands are met and healthy eating habits established to lead into adulthood, it is vital to be able to accurately assess current dietary intake and nutrition knowledge levels of this population . There are very few studies that have assessed the dietary intake and level of nutrition knowledge of active adolescents. The aim of this study was to assess the nutrition knowledge level , and dietary intake, of the subjects. A new nutrition knowledge questionnaire was developed and validated for this purpose. Dietary intake data was collected and compared to current dietary recommendations. This data was then used to investigate any link between nutrition knowledge level and dietary behaviour in the active adolescent subjects. One hundred and twenty-four adolescents of ages 14-18 years were recruited for the study from schools and competitive sporting teams in the Auckland region . Participants completed the nutrition knowledge questionnaire and were requested to complete a th ree-day food diary (two weekdays, one weekend day) . Physical activity was recorded qualitatively by the subjects for the week in which dietary intake was measured . Body composition was assessed by calibrated digital scales and height measurement. The nutrition knowledge of the active adolescents of this study was found to be poor, with a mean score of 55% achieved by the group. The interest of these subjects in sport was illustrated with a slightly higher nutrition knowledge score on the sport nutrition section of the questionnaire than the general nutrition section , 57% v 54%, p<0.05. The nutrition knowledge level of females was found to be significantly higher than males, 58% v 53%, p<0.05. Forty-six of the subjects returned completed food diaries (respondant rate 37%). It was found that subjects underreported energy intake between 1114%. The reported dietary intakes of macronutrients of the group met New Zealand and United States dietary recommendations. However, the reported intakes of several micronutrients were found to be below these recommendations. In the comparison of nutrition knowledge level and dietary intake of the subjects , no link was found between knowledge level and dietary behaviour. The low level of nutrition knowledge of these subjects is consistent with previous studies of nutrition knowledge in adolescents. It highlights the need for further nutrition education during the adolescent period, especially for adolescents who are physically active . The underreported energy intake reflects previous study find ings with the difference speculated to be primarily due to the inaccurate reporting of intake typified by this adolescent age group. The dietary intake of these adolescents met the majority of dietary intake recommendations, which may reflect the high socio-economic status and high interest in sport of the subjects. These may also be a factor in the lack of correlation between nutrition knowledge level and dietary behaviour found in this study.
A MIMO Antenna with Enhanced Gain using Metasurface

─ This paper proposes a new metasurface to improve gain for dipole antenna. The antenna includes two sets of two elements (1 x 2), the integrated J shaped baluns, five metasurface cells (each metasurface cell consists of 5 periodic metallic plates printed on a thin low-cost FR4 substrate) for four antenna elements and the antenna is supplied by two T-junction power dividers. The metasurface is designed to operate as reflection surface. The antenna is designed based on RT5880 and witnesses an overall size of 140 x 37 x 35.075 mm (2.7λ x 0.71λ x 0.67λ at 5.8 GHz), an isolation of approximately 28 dB, a peak gain of 9.5 dBi, and a radiation efficiency of 84%. Index Terms ─ Dipole array, gain enhancement, metasurface, MIMO antenna.
Soybean responses to nutrients deficiency, and the possibility of detecting this deficiency using chlorophyll fluorescence technique

Aims Managing plant nutrition is a key factor to getting optimum yield quantity and quality. Soybean is an important plant as an oil and protein producer crop as well as a biological nitrogen fixing plant. The aims of current work were studying soybean's responses to some macro and micronutrients deficiency stress as well as the possibility of diagnosing this deficiency using chlorophyll fluorescence technique.Methods The two-year field experiment during 2019 and 2020 growth seasons were conducted based on a randomized complete block design with three replications. Treatments were use and non-use of N, P, Fe, and Mo, accompanied with and without humic acid. N and P were applied in the soil, but Fe, Mo, and humic acid were foliar applied at the final vegetative growth stage. Results Results showed that the effect of fertilizer treatments was significant on all traits. N-P-Fe-Mo improved grain yield and photosynthesis rate, but their application accompanied with humic acid induced a synergistic effect, and the maximum grain yield and photosynthesis were recorded in the N-P-Fe-Mo + HA. Fertilizer application decreased F0 and Fm and increased Fv/Fm. Besides, there was a significant negative correlation between leaf's N, P, Fe, and Mo content with Fm; meanwhile, the negative correlation between leaf's nitrogen and Fm was stronger than the other applied nutrients (r=-0.767). Conclusions Research findings show that, it is possible to use the chlorophyll fluorescence technique as a valid non-destructive physiological indicator and a quick way to monitor the nutritional status of soybean plant about N-P-Fe-Mo to timely fertilizing. Although soybean is a nitrogen fixing plant, but it needs complementary N fertilizer to achieve maximum PSII efficiency, minimum chlorophyll fluorescence, and optimal yield.
Study and Analysis of Various Automatic Brain Tumour Segmentation andClassification: A Challenging Overview

Early prediction of Brain Tumour (BT) plays a vital function for providing treatment plan and patient care at initial stage. The manual identification and classification of brain tumour is difficult to realize and time consuming due to the same structures, and also the scarcity of available radiology expertise. Generally, the BT classification is performed in two ways, such as:realize whether the image as either normal or abnormal (ii) Classification of abnormal region based on the various kinds of tumours. Thus, the manual classification of brain tumour from MR images are time consuming, nonreproducible and impractical due to the vast quantity of MRI dataset. To overcome these issues, automatic classification is a proper solution to classify the tumour from Magnetic Resonance (MR) images with less intervention of radiologists. The key challenge in classification of MR image is the semantic gap among low level visual data gathered through MRI machine and high level information perceived through human evaluator. The conventional machine learning-based classification techniques focused only in either low level or high level or handcrafted features for diminishing this gap and achieving better feature extraction and classification methods. Thus, this survey analyzes several techniques intended to BT segmentation and classification through images from various sources. This study utilized25 research papers concentrated on various techniques, and the review of various researches technique-wiseis also to be provided.Finally, the analysis discussed in this survey based on the publication year, research technique, implementation tools, performance measures and achievement of the research methodologies towards BT segmentation and classification using different datasets. At the end, the research gaps, issues of the techniques and then, the motivation for developing an effective method for brain tumour segmentation and classification is also to be revealed.
A Review on Computer Aided Detection System for Mammographic Images

Digital image processing is important in numerous areas of research and development which employed to process digital images and generate useful characteristics from the data, which can then be used to take critical decisions with high accuracy. These techniques are also applied for applications in the medical field, specifically in the detection of Breast Cancer. Over the years due to limitations of human observations, computers have played a significant role in detecting early signs of cancer, this conclude a development of Computer Aided Detection System (CAD) of high accuracy. This paper presents a concise review on Computer Aided Detection System which can be developed as a useful decision support system for automatic detection of breast cancer, whereby the predictions from the CAD systems can be employed to enhance diagnosis from radiologists.
The impact of green fiscal policy on green technology investment: Evidence from China

Our objective is to investigate the impact of green fiscal policy on green technology investment in China. We employed some econometric techniques as our strategy for the empirical analysis. We used a quantile regression with the lad method in our long-run estimations. The results suggest that green fiscal policy has a heterogeneous impact on green technology investment total factor productivity considering the kind of proxy and magnitude of the coefficients. However, we observed that environmental tax as a proxy measure of green fiscal policy positively impacts green technology investment total factor productivity while environmental expenditure negatively does. Our findings imply that when green technology investment total factor productivity is on the ascendency, increasing the existing energy consumption structure could decrease green technology investment total factor productivity. In other words, provinces with a higher level of green technology investment total factor productivity should ensure a reduction in their existing energy consumption structure to promote green technology investment. Also, we conclude that green technology investment progress is opposed by increasing research and development, gross domestic product, and existing energy consumption structure through environmental expenditure. To sustain green technology investment progress, environmental taxes be increased substantially to deter polluters by adopting green technologies.
An Attempt to Boost Molecular Descriptors with Quantum-Derived Features in Prediction of Maximum Emission Wavelengths of Chromophores

The following research assesses the capability of machine learning in predicting maximum emission wavelength of organic compounds. The predictions are based on structure descriptors and fingerprints widely applied in cheminformatics. In an attempt to further improve accuracy, developed machine learning models were enriched with quantum mechanics derived features. Multi linear, gradient boosting and random forest regressions were applied. Computers were trained and tested with database of experimental data of optical properties.
Ocean Iron Fertilization Experiments: Past–Present–Future with Introduction to Korean Iron Fertilization Experiment in the Southern Ocean (KIFES) Project

Abstract. Since the start of the industrial revolution, human activities have caused a rapid increase in atmospheric CO 2 concentrations, which have in turn been cited as the cause of a variety climate changes such as global warming and ocean acidification. Various approaches have been proposed to reduce atmospheric CO 2 concentrations. The ''Martin (or Iron) Hypothesis'' suggests that ocean iron fertilization (OIF) should be an efficient method for stimulating the biological pump in iron-limited high nutrient-low chlorophyll regions. To test the Martin hypothesis, a total 13 OIF experiments have been performed since 1990 in the Southern Ocean (7 times), in the subarctic Pacific (3 times), in the equatorial Pacific (twice), and in the subtropical Atlantic (once). These OIF field experiments demonstrated that primary production could be significantly increased after artificial iron addition. However, export production efficiency revealed by the OIF experiments was unexpectedly low compared to production from natural processes in all, except one of the experiments (i.e., the Southern Ocean European Iron Fertilization Experiment, EIFEX). These results, including side effects such as N 2 O production and hypoxia development, have been scientifically debated amongst those who support and oppose OIF experimentation. In the context of increasing global and political concerns associated with climate change, it is valuable to examine the validity and usefulness of the OIF. We provide a general overview of the OIF experiments conducted over the last 25 years (past), a discussion of OIF considerations including possible side effects (present), and an introduction to the OIF experiment plan currently being designed by Korean oceanographers (future).
Search for Dark Particles at Belle

Won, Eunil "Search for Dark Particles at Belle" in 12th "Patras" Workshop on Axions, WIMPs and WISPs, PATRAS 2016 / Kim, Younglm, Lindner, Axel, Semertzidis, Yannis K. (eds.), Verlag Deutsches Elektronen-Synchrotron : 2017 ; PATRAS 2016 : 12th "Patras" Workshop on Axions, WIMPs and WISPs, 2016-06-20 - 2016-06-24, Jeju Island 12th Patras Workshop on Axions, WIMPs and WISPs, AXION-WIMP 2016, Jeju Island, South Korea, 20 Jun 2016 - 24 Jun 2016; Hamburg : Verlag Deutsches Elektronen-Synchrotron, DESY-PROC, 145-150 (2017). doi:10.3204/DESY-PROC-2009-03/Won_Eunil