Miracle-dz/UniFAR-FTUs huggingface dataset:
Types of Role Models for the Frontiers in Education (FIE) Community

In this Special Session participants explore role modeling in the context of IEEE/ASEE Frontiers in Education (FIE). Role models are important in engineering education, due to their being beneficial for those who have them. While educators and other professionals may strive to be role models for others, there is little research in this area to support this goal. How do we talk about role models? How can we reflect on what we can model and how, as individuals and through giving visibility to others? Conferences like FIE are great venues to provide participants with role models. What kind of role models are FIE attendees after? In this special session participants at any career stage are introduced to Grande's theory of role modeling to address these questions.The groups will use Grande's theory to reflect on what kind of role models they would find interesting to look for in FIE. This aims to increase reflection on role modeling by the participants while also informing the organization of the event, who can consider increasing the visibility of the identified potential role models. Participants can later use a similar process to reconsider their role modeling in other areas, e.g. as teachers for their students, managers for their employees, or as conference organizers to analyze what kind of role models they are inviting to their events.
The Role of Source Code Vocabulary in Programming Teaching and Learning

This full paper, categorized as Research-to-Practice, presents an investigation on the role of source code vocabulary in introductory programming learning practices. According to software engineering literature, source code vocabulary is a fundamental aspect of software quality as it contributes to software readability and eases maintenance and evolution tasks. Furthermore, some studies show that identifier naming and comments in the code tend to use terms that reflect the software problem domain specification and can be used, for instance, to localize feature. In this paper, we build upon this knowledge of software engineering and investigate how we can take advantage of it in computer science education, specially on the teaching of programming. We conducted a twofold empirical study in an introductory programming course to investigate: (1) How to give automated feedback about identifier naming, aiming to improve software readability, and (2) To what extent source code vocabulary reflects problem specification comprehension, which is crucial to effective programming problem-solving. In the first study, we found that 51.7% of the students improved their source code vocabulary, after receiving such feedback. In the second study, the results showed that students tend to manage to better comprehend the programming problem being solved when their code identifier names are connected to the related description. It is a promising indicative that we can use this information to assess the problem requirements comprehension, which is a fundamental step in the programming problem-solving cycle. The main contribution of this paper is to shed light on the source code vocabulary and promote its role in the programming teaching and learning scenario. We present some evidence that students’ source code vocabulary is a rich information source about their understanding and we can use it to produce formative feedback.
O esvaziamento gástrico e a insuficiência renal crônica

INTRODUCCION Y OBJETIVOS: La primera referencia de retardo en el vaciamiento gastrico (EG) fue hecha por Grodstein en 1979. Otros estudios fueron publicados posteriormente, y no siempre confirmando esa observacion. La importancia del EG en anestesia puede ser resumida un uno de sus aspectos principales, el ayuno preoperatorio. El retardo en el vaciamiento puede causar estasis y aumentar el riesgo de vomito y aspiracion pulmonar. La posibilidad de existir retardo del vaciamiento en uremicos nos atrae. Quejas dispepticas son comunes en estos pacientes y podrian ser explicadas por la dificultad de vaciamiento gastrico. A pesar de las evidencias, la literatura es muy controvertida en este aspecto. No existe un consenso en cuanto a los resultados obtenidos. Diferencias en el metodo de estudio utilizado podrian explicar esos resultados, observados en estudios clinicos y experimentales. El objetivo de este estudio fue ver nuevamente algunos aspectos importantes del sindrome dispeptico en pacientes con insuficiencia renal cronica (IRC) terminal, con enfasis en el retardo del EG. CONTENIDO: Se abordaran los aspectos basicos relacionados a la fisiologia del EG, los metodos mas empleados para el estudio del EG, el sindrome dispeptico y la uremia y el vaciamiento gastrico en la insuficiencia renal cronica. CONCLUSIONES: El EG es un proceso fisiologico complejo de transferencia del alimento del estomago para el duodeno, cuyos mecanismos todavia no se conocen bien. La cintilografia, utilizando comidas con radio farmacos, es el examen mas utilizado para el estudio del EG. Un porcentaje expresivo de pacientes con IRC terminal presenta retardo en el EG. Posiblemente otros mecanismos, ademas de la uremia, involucrando la funcion motora gastrica, estan involucrados en esta disfuncion.
Medical tourism– the scoping review

The studyreviewed the fundamentalknowledge of whatismedicaltourism by proposed the background and evolution of medicaltourism This paperaggregateddefinition of the term ‘medicaltourism’ given by previousauthors, althoughthere are severalinterpretations, yet, remained no the universal consensus on the medicaltourismterm. However, the aggregation in thispapershowedthathereis ashare certain commonfeaturesamong the diversifieddefinitions. The authorsalsoreviewedwhat are the developments and the barriers in this global medicaltravel trend.
Perspectives on the use of Serious-Storytelling for Creative Thinking Awareness in Engineering

This Research-to-Practice Full Paper discusses the use of the Serious-Storytelling approach for enhancing soft skills that are decisive for the development of new job opportunities for young engineers. Multifarious international organizations, in their recent reports, emphasize the need to include new cognitive tools for developing the soft skills that Gen Z engineers need due, on the one hand, to the strong consolidation of social media, which shows an unexpected difference in the way recent graduates view the world and define themselves; and on the other hand, to the exponential development of the technology that was made accessible to them. Serious-Storytelling cognitive tools were adapted for the design of critical reading and critical writing co-curricular activities and were included as active learning experiences in different engineering programs. The research was conducted based upon a 4-group Solomon methodology with a quantitative design. To assess creative thinking competencies, different evaluation instruments were used for PreTests and PostTest, including several fluency and originality tests, as well as storytelling articulateness ability tests and modified VALUE rubrics of the Association of American Colleges and Universities (AAC&U). The obtained results showed that the designed Serious-Storytelling approach promoted a better understanding of scientific concepts in engineering subjects, a higher capability to develop rising demand skill sets and a stronger creative thinking competence awareness.
ACCOUNTING FOR GROWTH: COMPARING ECONOMIC SECTORS IN THE UAE

UAE occupied an important position not only in the Arab world, but even in the worldwide economy. The country took a main oil producer and a business location hub with short duration of establishment as a country that consisted of seven emirates. Referable to the fluctuating of oil price, the country employed a strategy to diversify its economy to avoid the instability of income from oil revenue. The question was analyzed here what factor of production was the primary contributor to the growth in the concept of sectoral approach according to the UN. The purposed of this study to analyze the UAE’s economy in perspective of sectoral approach from 1990 to 2015, that divided in three sectors such the primary sector, the manufacturing sector, and the service sector. The growth accounting used as a model to explain the growth. The methodology applied was a quantitative method. The data were gathered from the country statistics center, which in term employed empirical study. The empirical study resulted that the country shifted from agriculture to service and industry since 2000. The contribution share from the labor input was the main factor that contributed significantly to the growth of each sector specifically from 1990-2015, where were deserved 70%, 86%, and 62% to the primary, the manufacturing, and the service sectors, respectively. While, the contribution growth due to the capital were 24%, 45%, and 49%, for the primary, the manufacture, and the service sectors, respectively. While in contrast, the share of growth due to the TFP was negative in the manufacturing and the service sectors which were -31% and -12%, respectively, where unlike in the primary sector was 6% from 1990-2015. But in general, the sector output was obtained of the service sector was deserved the highest annual mean growth rate about 8.37%, which accompany by the manufacturing sector about 6.88%.
A Review Paper On WaterMarking: Present Scenario and challenges

-There has been a remarkable increase in the data exchange over web and the wide-spread use of digital media. As a result, multimedia data transfer also had an improvement. Digital watermarking is popular due to the increase in the requirement of copyright protection for digital contents. The commercial prospective is the another requirement. There are various fields where water marking can be implemented such as in copy control, video authentication, broadcast monitoring,
SERVICES QUALITY AND CUSTOMER LOYALTY: ADEQUACY OF SERVQUAL MODEL

Delivering services quality is a vital strategy for success of an organization at current competitive business context. In the telecommunications industry, the most dynamic change can be recognized in the field of mobile phone sector. The purpose of this study is to present empirical evidence of services quality effect on customer loyalty. The survey method was used to conduct the study. The sample consisted of 300 respondents. The Pierson’s Correlation and Regression analysis were employed to test the impact of services quality on customer loyalty. The study findings showed that services quality dimensions of responsiveness and empathy have significant positive relationship with customer loyalty while tangibles, reliability, and assurance also indicate positive correlation with customer loyalty. Exhibiting their level of loyalty, no significant difference between male and female subscribers was reported. The result together with respondents’ comments towards SERVQUAL to evaluate services quality in mobile phone industry is also discussed.
Non-funded internship proposals

Many methods exist to detect communities in static networks [2]. Detecting communities in dynamic networks is already a popular topic with a growing number of publications [5]. However, very few methods exist to detect communities in link stream, i.e., networks which are composed of interactions without duration, such as data collected with instant messaging, contact tracing or email. In a previous internship, we started to study the problem and developed some preliminary approaches. One of the possibilities which seem promissing and that we would like to investigate further is the adaptation of existing algorithms for static networks to link streams. In particular, Walk Trap[4] seems a very good candidate, but other possibilities could be explored. This will require both theoretical (appropraite definition of a random walk in a link stream) and practical (efficient implementation) contributions.
The major key factor to be a well-developed conference destination: A case study of Jordan and Chengdu- China

هدفت الدراسة إلى الكشف عن أهم المكونات التي تسهم في نقل أي بلد أو وجهة لتصبح متطورة في صناعة المؤتمرات. تم استخدام المنهج الكمي باستخدام الاستبانة لإجراء مقارنة ما بين الأردن كبلد نام و تشنغدو -الصين كبلد متطور في هذا المجال، وتألفت العينة من 50 مشارك من كل بلد من المشاركين في المؤتمرات. من أهم نتائج الدراسة أن الأردن في طريقها لفعل ذلك اضافة إلى ذلك، بينت أن صناعة المؤتمرات لا تقوم على جودة مكوناتها، وإنما على تناسقها وتكاملها كوحدة واحدة بالدرجة الأولى، إذ إن التركيز على جهة أو مكونة دون الأخرى سيكون مدعاة للفشل للوصول إلى درجة متقدمة في صناعة المؤتمرات.
Endogen: Framework for Designing Endogenous Educational Games

Cohesion between content and gameplay can lead to games that are educational and enjoyable at the same time, making them effective. Endogenous designs, wherein the game elements emerge from the content, lead to such cohesion. However, endogenous design is not commonly observed in practice. Lack of guidance on conceptualizing endogenous design is an important factor hampering production of effective educational games. In this paper, we present ‘Endogen’ framework for designing endogenous educational games. The framework synthesized using the ‘function-behavior-structure’ approach is composed of a set of design strategies that we discovered in our recent work. It is validated using a multi-method approach wherein designers use the framework to design games and then rate it on various parameters. Results indicate that Endogen achieves the stated objective of creating endogenous design, therefore offering exciting content integration possibilities for game designers.
Frequency Principle in deep learning: an overview

Understanding deep learning is increasingly emergent as it penetrates more and more industry and science. In recent years, a research line from Fourier analysis sheds lights into this “black box” magic by showing a Frequency Principle (F-Principle or spectral bias) of the training behavior of deep neural networks (DNNs) — DNNs often fit functions from low to high frequency during the training. The F-Principle is first demonstrated by an one-dimensional synthetic data followed by the verification in high-dimensional real datasets. A series of works subsequently enhance the validity of the F-Principle. The low-frequency implicit bias illustrates the strength of neural network at learning low-frequency function while suffering from learning high-frequency function. Such understanding inspires the design of DNN-based algorithms in practical problems, explains phenomena emerging in various scenarios, and further advances the study of deep learning from frequency perspective. Although incomplete, we provide an overview of F-Principle and propose some future research problems.
Wavelet-Based Method for Damage Detection of Nonlinear Structures. J. Civil Eng. Urban. 2(4): 149-153.;

In the recent decades, damage detection and system identification methods that are based on wavelet analysis and signal processing for structural health monitoring of engineering structures have been developed. Analyses that are based on time-frequency domain provide more information about non-stationary signals. In this paper, an effective method is presented for damage detection of nonlinear structure based on restoring force by using wavelet transform. Two nonlinear frame models are used for simulation of the real condition of structures and restoring force response is calculated by Runge-Kutta method. The results for damage detection by the proposed method in the structures show the reliability of the method.
Evaluation of hepatoprotective and nephroprotective activity of methanolic extract of Cleome viscosa and Cleome gynandra in STZ-induced diabetic rats

Cleome is the largest genus in Capparaceae, with over 200 annual herb and shrub species widely circulated in pantropical and subtropical areas of the world. It is used in Ayurveda and other systems of remedy to cure several diseases, such as liver disease, chronic painful joints and mental disorders. It is used as a source of vitamin-C and iron and as a green leafy vegetable in poorer division of the peoples. To evaluate the hepatoprotective and nephroprotective activity of MeCV (methanolic extract of Cleome viscosa) and MeCG (methanolic extract of Cleome gynandra) against streptozotocin (STZ)-induced liver and kidney damage in diabetic rats. The hepatoprotective and nephroprotective activity of MeCV and MeCG were evaluated in rat serum, hepatic tissue injury markers alanine amino transaminase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP) and total bilirubin assays were performed. The kidney injury serum markers urea and creatinine levels were also determined. Our results indicated that, oral treatment with MeCV and MeCG at dose of 400 mg/k.g b.w to diabetic rats was significantly reduced the levels of AST, ALT, ALP, total bilirubin, urea and creatinine compared with diabetic control rats. The MeCV (400 mg/k.g b.w) was showed highest hepatoprotective and nephroprotective activity the MeCV (400 mg/k.g b.w). These results suggest the potential effect of MeCV extract as a hepatoprotective and nephroprotective agent towards-STZ induced liver and kidney damage.
DOPAMINE TOXICITY AND OXIDATIVE STRESS IN ZEBRAFISH LARVAE AS A MODEL OF PARKINSON'S DISEASE NEUROPATHOLOGY By

DOPAMINE TOXICITY AND OXIDATIVE STRESS IN ZEBRAFISH LARVAE AS A MODEL OF PARKINSON’S DISEASE NEUROPATHOLOGY Sarah Josephine Stednitz Dopamine signaling is conserved across all animal species and has been implicated in the disease process of many neurological disorders, including Parkinson’s disease (PD). The primary neuropathology in PD involves the death of dopaminergic cells in the substantia nigra (SN), an anatomical region of the brain implicated in dopamine production and voluntary motor control. Increasing evidence suggests that the neurotransmitter dopamine may have a neurotoxic metabolic product (DOPAL) that selectively damages dopaminergic cells. This study was designed to test this theory of oxidative damage in an animal model of Parkinson’s disease, using a transgenic strain of zebrafish with fluorescent labeling of cells that express the dopamine transporter. The pretectum and ventral diencephalon exhibited reductions in cell numbers and fluorescence intensity due to L-DOPA treatment, and this was partially rescued by MAO inhibition. Consistent with the MPTP model of PD in zebrafish larvae, spontaneous locomotor behavior in L-DOPA treated animals was depressed following a 24-hour recovery period, while visually-evoked startle response rates and latencies were unaffected.
Identification of Mung Bean in a Smallholder Farming Setting of Coastal South Asia Using Manned Aircraft Photography and Sentinel-2 Images

Mung bean (Vigna radiata) plays an important role providing protein in the rice-based diet of the people in Bangladesh. In the coastal division of Barisal, our study area, the average farm size is less than 0.5 ha and individual fields measure about 0.10 ha. The availability of free Sentinel-2 optical satellite data acquired at a 10 m ground sampling distance (GSD) may offer an opportunity to generate crop area estimates in smallholder farming settings in South Asia. We combined different sources of in situ data, such as aerial photographs taken from a low flying manned aircraft, data collected on the ground, and data derived from satellite images to create a data set for a segment based classification of mung bean. User’s accuracy for mung bean was 0.98 and producer’s accuracy was 0.99. Hence, the accuracy metrics indicate that the random tree classifier was able to identify mung bean based on 10 m GSD data, despite the small size of individual fields. We estimated the mung bean area for 2019 at 109,416 ha, which is about 40% lower than the Department of Agricultural Extension estimates (183,480 ha), but more than four times higher than the 2019 data reported by the Bangladesh Bureau of Statistics (26,612 ha). Further analysis revealed that crop production tends to be clustered in the landscape by crop type. After merging adjacent segments by crop type, the following average cluster sizes resulted: 1.62 ha for mung bean, 0.74 ha for rice (Oryza sativa), 0.68 ha for weedy fallow and 0.40 ha for a category of other crops. This explains why 10 m GSD satellite data can be used for the identification of predominant crops grown in specific regions of South Asia.
Evaluation of Fluorescent Pseudomonas sp. for their Activity against Plant Pathogenic Fungi in Replant Sites of Apple and Pear

Biocontrol with antagonistic bacteria (such as fluorescent Pseudomonads) is deemed to be an alternate approach to agrochemicals which are detrimental to human health and environment. Fluorescent Pseudomonad species such as Pseudomonas fluorescens, Pseudomonas aeruginosa, Pseudomonas aureofaciens, Pseudomonas putida and Pseudomonas pyrrocinia have shown varying degrees of antagonism to demonstrate antifungal activity (Huet al., 2005) because of the production of indole-3-acetic acid, siderophores and antibiotics such as phenazine-1-carboxylic acid (PCA), pyocyanin, 2-acetamidophenol, pyrrolnitrin, pyoluteorin, PCN, 2,4 diacetylphloroglucinol, viscosinamide and tensin (Nielsen et al,. 2000, Hammer et al., 1999). The incorporation of their important features such as antifungal antibiotics production, International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 9 (2020) Journal homepage: http://www.ijcmas. com
A Family Psychoeducation Group Program for Chinese People With Schizophrenia in Hong Kong

Objectives: This study tested the effectiveness of a family psychoeducation group program over a 12-month period for families of Chinese patients in Hong Kong with schizophrenia. The psychoeducation program is a needs-based group intervention that addresses the perceptions, knowledge, and skills of families in caring for relatives with schizophrenia. Methods: A controlled trial was conducted with 84 family members. Patient and family variables were measured at recruitment and at one week and 12 months after completion of the intervention. Results: Multivariate analyses of variance showed that participants in the psychoeducation group reported greater improvements in families' and patients' Functioning, families' burden of care, and the number and length of patients' rehospitalizations over the 12-month follow-up period, compared with the standard care group. Conclusions: These findings support the effectiveness of the family psychoeducation group program in improving the psychosocial health and functioning of Chinese patients with schizophrenia and their families.
Remy Cazabet Community Structure Blocks and Communities : De nition

The idea of having a network structured in communities is de ned as an analogy with communities in social networks. Communities are therefore de ned (informally) as groups of nodes that are strongly connected between themselves (high internal density) and more weakly connected to the rest of the network low external density. This de nition however cannot be translated unambiguously into a mathematical formulation. The problem of community detection, or community discovery, is therefore complex to de ne. Block structure