Miracle-dz/UniFAR-FTUs huggingface dataset:
IS CONTINUOUS ASSESSMENT AN ADEQUATE INSTRUMENT TO HELP STUDENTS WITH DIFFICULTIES IN LARGE GROUPS? THE CASE OF CIVIL ENGINEERING

In recent years several strategies have been introduced in the department of civil engineering at a technical university to implement continuous assessment in large groups, especially for the subject of machinery, without obtaining satisfactory results in the performance of some of these students. None of the techniques used to overcome the difficulties experienced by students in the teaching/learning process has been accepted by the students themselves. The purpose of this paper is to assess why after taking concrete actions to help these students meet their learning objectives, their academic achievements and ability to pass the subject have not materialised as expected. It should also be added that precisely these students appear to show, on the one hand, a rejection to the system of ‘identifying problems, error correction, and resolution’ and, on the other hand, they say they would prefer the traditional evaluation system, that did not monitor their performance and learning outcomes so closely as the current system. However, that system did not help them pass the exam nor achieve an effective learning of the subject content. Hence, continuous assessment may not be the best tool to make students attain the learning objectives proposed for this particular subject when applied with large groups. An analysis of a specific teaching context in the civil engineering degree can provide us with data to answer the questions under investigation.
Fault Prediction and Diagnosis of Wind Turbine Generators Using SCADA Data

The fast-growing wind power industry faces the challenge of reducing operation and maintenance (O&M) costs for wind power plants. Predictive maintenance is essential to improve wind turbine reliability and prolong operation time, thereby reducing the O&M cost for wind power plants. This study presents a solution for predictive maintenance of wind turbine generators. The proposed solution can: (1) predict the remaining useful life (RUL) of wind turbine generators before a fault occurs and (2) diagnose the state of the wind turbine generator when the fault occurs. Moreover, the proposed solution implies low-deployment costs because it relies solely on the information collected from the widely available supervisory control and data acquisition (SCADA) system. Extra sensing hardware is needless. The proposed solution has been deployed and evaluated in two real-world wind power plants located in China. The experimental study demonstrates that the RUL of the generators can be predicted 18 days ahead with about an 80% prediction accuracy. When faults occur, the specific type of generator fault can be diagnosed with an accuracy of 94%.
How do undergraduate students study for anatomy, and does it matter?

In an undergraduate anatomy class at Indiana University (A215) students are given many suggestions for methods of studying course content outside of class time. There are lists of study strategies in the syllabus and lab guides, and the course instructors spend part of the first several lecture and lab meetings discussing additional study strategies. But which of the strategies do students use most, and which yield the best results on course exams? To answer this question, we administered a survey to the class of nearly 400 undergraduates. The survey questions asked about the amount of time students spent on a variety of specific strategies. These strategies ranged from passive studying (reading text, reviewing figures) to more active approaches (drawing figures, making tables). It was found that differences in study strategies do exist between students, and that there are correlations between strategies and grades. Students that reported the most use of self‐produced study materials showed the greatest success on exams. Those students that used the fewest different types of study methods and spent the least amount of time on the material showed lower scores on exams. The pedagogical implications of these findings indicate that instructors should continue to encourage as many, and as varied, methods of revision as possible.
Quality of quail eggs confined in thermoneutral environment and heat stress

The production of Japanese quail has been emphasizing in national scenario in front of the other already consolidated cattle productions and within the agribusiness agroindustrial system. In the last two decades, the welfare of the birds in the environments of creation has gained more relevance, since the understanding of the physiological responses of the birds to the climatic variations is a preponderant factor in order to seek high productivity indexes. The objective of this study was to evaluate the quality of quail eggs confined in thermoneutral environment and thermal stress. The experiment was carried out in a climatic chamber, where three mini-chambers with a ventilation system were inserted, with 10 Japanese quails each. The microclimatic variables were controlled and monitored at temperatures 20, 26 and 32 oC and two air velocities 0.5 m s-1 and 2 m s-1. The collected eggs were evaluated for egg mass, specific gravity, Haugh unit, yolk index and internal quality unit. The design used in the research was the factorial arrangement of 3x2 (three temperatures and two air velocities). It was observed that in the stress combinations, 20 ° C and 2.0 m s -1, and 32 ° C and 0.5 m s -1, most egg quality parameters were negatively affected, evidencing the importance of Welfare of birds for a better productive response.
Estimating the parameters of software reliability growth models using hybrid DEO-ANN algorithm

The parameter estimation of software reliability growth model (SRGM) is extremely useful for software developers and has been broadly acknowledged and applied. However, each SRGM contains some undetermined parameters and estimation of these parameters is a fundamental task. Mostly, these parameters are estimated by the least square estimation (LSE) or the maximum likelihood estimation (MLE). However, these methods impose certain constraints on the parameter estimation of SRGM like requiring the modelling function. In this paper, we propose an efficient approach to estimate the parameters of SRGM using a hybrid dolphin echolocation optimisation-artificial neural network (DEO-ANN) through parallel computation. The DEO is utilise to optimise the weights and the structure of the ANN to reduce computational complexity. The performance of the proposed approach for parameter estimation of SRGM is also compared with other existing approaches. The experimental results show that the proposed parameter estimation approach using DEO-ANN is very effective and flexible, and the better software reliability growth performance can be obtained on the different software failure datasets.
Does the Nutrient Profile of Snacks Vary According to the Time of Day of Consumption?

Research suggests that energy intake from snacking eating occasions (EOs) has increased over time, however little is known about the nutrient profile of snacks consumed across the day. Understanding how the nutrient profile of snacks varies across the day is important to determining health promotion messages and strategies. The aim of this study was to describe the nutrient profile of snacks consumed according to time of day of consumption.
Measurements of car-body lateral vibration induced by high-speed trains negotiating complex terrain sections under strong wind conditions

ABSTRACT Assessment of the vibration of high-speed trains negotiating complex sections of terrain under strong wind conditions is very important for research into the operation safety and comfort of passengers on high-speed trains. To assess the vibration of high-speed trains negotiating complex sections of terrain under strong wind conditions, we performed a field measurement when the train passes through typical sections of complex terrain along the Lanzhou–Xinjiang high-speed railway in China. We selected the lateral vibration conditions, including the roll angle and lateral displacement of car-body gravity centre through two typical representative sections (embankment–tunnel–embankment and embankment–rectangular transition–cutting) for analysis. The results show that the severe car-swaying phenomenon occurs when the high-speed train moves through the test section, and the car-body lateral vibration characteristic is related significantly to the state of the terrain and topography along the railway. The main causes for this car-swaying phenomenon may be the transitions between different windproof structures, and the greater the scale of the transition region between different windproof structures or landform changes, the more obvious the car-swaying phenomenon becomes. The lateral vibration of the car-body is relatively steady when the train is running through terrain with minor changes in topography, such as the windbreak installed on the bridge and embankment, but the tail car sways more violently than the head car. When the vehicle runs from the windbreak installed on the embankment into the tunnel (or in the opposite direction), the tail car sways more intensely than the head car, and the head car runs relatively stable in the tunnel.
Mutual fund knowledge assessment for policy and decision problems

We develop a measure of mutual fund investment knowledge that complements existing fi- nancial literacy measures. Our question battery was administered to 3,444 survey respondents. We validate the index with factor analysis identifying two latent components, and descriptive regressions demonstrating the additive value of our index beyond general financial literacy in explaining variation in financial well-being, investment ownership, and fee calculation profi- ciency. Despite mutual funds’ importance in household savings, our index suggests that the public lacks adequate understanding of them. We demonstrate the utility of our index for studying selected decision and policy problems.
The Presence of Groove in Online Songwriting Projects

Collaboration for groups with members who are disconnected by geography or time is convenient for many reasons, but remains a challenge due to time zone differences, network congestion, and the attenuation of nonverbal communication cues. Virtual collaborators engaging in creative work often deal with these challenges, even more so when tasked with expressing their emotions to distant partners. This study seeks to determine the social factors and tools that impact the quality of an online creative collaboration. Members of the Kompoz.com music composition community were surveyed to solicit projects that had the potential to be optimal collaborations. Judges listened to these songs and measured how much each song prompted them to move. This measure, called groove, was used as an indication of a successful collaboration. Judges assisted in selecting one case that was an exemplar of groove, and another that urged them to move much less, to stand as an exemplar of diminished groove. The comparative case method was used to compare and contrast the tools, social practices, and skills employed in each project, and offers guidelines for the design of and participation in online creative communities. THE PRESENCE OF GROOVE IN ONLINE SONGWRITING PROJECTS by David James B.S. Rensselaer Polytechnic Institute 2006 M.S. Syracuse University 2009 Dissertation Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Information Science and Technology Syracuse University May 2017 Copyright © David L. James 2017 All Rights Reserved
Head and Neck Acinic Cell Carcinoma

Acinic cell carcinoma (AciCC) is traditionally considered as a low-grade salivary gland carcinoma. However, a subset demonstrates high-grade features with a higher mortality rate and distant metastasis. In this large retrospective study of 117 cases, we aimed to establish a histologic grading scheme for AciCC. Adverse independent prognostic factors identified on the multivariate analysis included older age, tumor necrosis, nuclear anaplasia, lymphovascular invasion, absence of tumor-associated lymphoid stroma, and high American Joint Committee on Cancer (AJCC) pT and pN stages. A 3-tiered grading scheme using 4 pathologic parameters (mitotic index, necrosis, tumor border, and fibrosis at the frankly invasive front) was subsequently applied. Compared with low/intermediate-grade, high-grade AciCC defined as a mitotic index ≥5/10 HPFs and/or necrosis was an independently adverse prognostic factor. The 5-year overall survival was 50% in high-grade AciCCs, and 100% in low-grade or intermediate-grade AciCCs. Compared with low-grade or intermediate-grade AciCC, high-grade tumors were associated with older age, larger tumor size, focal rather than diffuse zymogen granules, solid architecture, infiltrative tumor border, fibrosis at the frankly invasive front, lymphovascular invasion, perineural invasion, positive margin, high pT, and pN stages. NR4A3 was a highly sensitive and specific immunohistochemical stain for diagnosing AciCC with a sensitivity and specificity of 96% and 93%, respectively. In conclusion, although we proposed a 2-tiered grading system for AciCC with high-grade tumors defined by a mitotic count ≥5/10 HPFs and/or necrosis, more studies are needed to assess the prognostic value of intermediate grade. NR4A3 immunohistochemical stain is a useful diagnostic marker for AciCC.
Preparing Residents for Fellowship: A Novel Mock Interview Program

Although fellowship interviews are critically important for residents to obtain competitive positions, and mock interview programs have noted benefits for medical students and other health professionals, there are few descriptions of best practices or data to guide residency programs to develop standardized, sustainable mock interview programs. This article describes a successful mock interview program in a large internal medicine residency program that can be adapted and scaled to fit any program. Abstract Objectives Although high-stakes interviews are critically important for residents to obtain competitive fellowships, few formalized programs targeting interviewing skills exist. Previous studies demonstrate that mock interviews increase medical students’ and healthcare professionals’ confidence and improve match rates, but little research has been conducted among medical residents. The objective of our study was to increase trainees’ confidence entering fellowship interviews and prepare them for commonly encountered questions via a mock interview program. Methods Emory Internal Medicine residency leaders designed a voluntary mock interview program focused on 103 residents (64% of the overall cohort) pursuing fellowship training (median 36, range 30–37/year) from 2018 to 2020. Administrative staff scheduled eight associate program director interviewers for 75 hours of interviews for 3 years (mean 3.6 hours per interviewer per year), ensuring program feasibility. Interviewers underwent faculty development and used a standardized tool with commonly asked interview questions to conduct mock interviews. Interviewers provided feedback on verbal communication, nonverbal communication, professionalism, and, given recent shifts to virtual interviews, camera readiness. We conducted resident surveys to understand their perceptions of mock interview program experiences. Results Ninety-nine residents pursuing fellowship (96%) enrolled. Fifty (51%) completed the survey (median 20, range 14–22/year); 46 (92%) reported that the mock interviews were helpful or increased their confidence for interview season. Conclusions Residents perceived that this high-fidelity mock interview program successfully prepared them at a critical career juncture. This program is feasible, sustainable, adaptable, and scalable, and may be adopted to benefit trainees in any graduate medical education program.
Healthy People 2010 Midcourse Review: Progress towards objectives on nutrition and overweight

Healthy People 2010 is a comprehensive health promotion and disease prevention agenda for the United States. With 467 objectives in 28 focus areas, it is designed to improve the health of Americans during the first decade of the 21st century. This paper will identify nutrition and overweight objectives in the Healthy People 2010 program, define progress towards the year 2010 and identify disparities among population subgroups. The goal of HP2010 Focus Area 19, Nutrition and Overweight, is to promote health and reduce chronic disease associated with diet and body weight. The midcourse review of FA19 addresses progress made during the first half of the decade in improving health and eliminating health disparities. Of the 6 objectives and 5 sub‐objectives for which trend data are available, all except 2 moved away from the targets. None of the objectives met their targets yet. Iron deficiency among 1–2 years old and food security among U.S. households moved toward the targets. One objective, meals and snacks at school, was dropped due to lack of a reliable data source. Of the 10 population‐based objectives for which race/ethnic specific data and trend data are available, only obesity among persons 20 years and over showed decreased disparity, indicating that adult obesity has become a condition that affects all race/ethnic groups.
Effort estimation in agile software development - A systematic literature review

Agile methods introduce new effort estimation methods that are most often based on a comparison of effort rather than on the use of time units. In this thesis, a review of existing scientific literature regarding the effort estimation in agile software development has been made. The effort estimation in agile software development still remains a challenge. The thesis is based on a systematic literature review of studies between 2001 and 2013 and it is a continuation of the mentioned review covering studies between 2014 and May 2017. The review brought forth answers to four previously set research questions: what techniques have been used for effort or size estimation in agile software development, what effort predictors (size metrics, cost drivers) have been used, what are the characteristics of the dataset and which agile methods have been investigated. A comparison to the previously mentioned review was also made.
Pengaruh Kualitas Produk terhadap Keputusan Pembelian dan Dampaknya terhadap Kepuasan Konsumen Pengguna Iphone (Survei pada Mahasiswa Fakultas Ilmu Administrasi Universitas Brawijaya Malang)

The research is done because the product quality in iPhone is very impressing if compared with other smartphone. Someone decided to buy smartphone especially iPhone based on several reasons such as product quality, it will impact to the satisfaction felt by consumer. Market share of iPhone increases each year and only decrease once in 2016. It become the reason to do research about buying decision. The used research is exploratory research with quantitative approach. The research location at the Administrative Faculty of Brawijaya University. The population of research all students of Administrative Faculty, Brawijaya University Malang that use iPhone and 104 respondents become the samples of research. The data collection done by distributing questionnaires data analysis by Path analysis. The research results show that product quality significant to customer satisfaction with the value of (p = 0,000 < 0,05) and value of 0,381 the coefficients, product quality significant of the decision a purchase with the value of (p = 0,000< 0,05) and value of 0,477 the coefficients, then decision the purchase significant to customersatisfaction with the value of (p = 0,000< 0,05) and value of 0,428 the coefficients. Keywords: product quality, buying decision, consumer decision ABSTRAK Penelitian ini dilakukan karena kualitas produk yang terdapat di iPhone sangat mengesankan jika dibandingkan dengan merk smartphone lain. Seseorang memutuskan membeli smartphone khususnya iPhone didasari oleh beberapa alasan salah satunya adalah kualitas produk, hal tersebut akan berdampak pada kepuasan yang dirasakan konsumen. Market share iPhone terus mengalami peningkatan setiap tahunnya dan hanya mengalami penurunan satu kali ditahun 2016. Hal ini yang menjadi alas an untuk melakukan penelitian tentang keputusan pembelian. Jenis penelitian yang digunakan adalah penelitian eksploratori dengan pendekatan kuantitatif. Lokasi penelitian ini dilakukan di Fakultas Ilmu Administrasi Universitas Brawijaya Malang. Populasi dalam penelitian ini adalah seluruh mahasiswa Fakultas Ilmu Administrasi Universitas Brawijaya Malang yang menggunakan produk iPhone dan sebanyak 104 orang responden yang dijadikan sampel penelitian. Metode pengumpulan data dilakukan dengan melakukan penyebaran kuesioner. Teknik analisis data yang digunakan adalah Path Analysis . Hasil penelitian menunjukkan bahwakualitas produk berpengaruh signifikan terhadap kepuasan konsumen dengan nilai ( p = 0,000 < 0,05 ) dan nilai koefisien sebesar 0,381, kualitas produk berpengaruh signifikan terhadap keputusan pembelian dengan nilai ( p = 0,000 < 0,05 ) dan nilai koefisien sebesar 0,477, kemudian keputusan pembelian berpengaruh signifikan terhadap kepuasan konsumen dengan nilai ( p = 0,000 < 0,05 ) dan nilai koefisien sebesar 0,428. Kata Kunci: Kualitas produk, Keputusan pembelian, Kepuasan konsumen.
A Step-Superposition-Based Analysis Approach to Modeling Resonant Converters

This paper introduces a new analysis approach to modeling resonant converters that can be used to determine closed-form expressions for the exact resonant network waveforms. This approach, based on superposition of step responses to inverter and rectifier imposed steps, can easily be applied to resonant converters with high-order resonant networks, multiple inverters, and/or rectifiers. The usefulness of the proposed analysis approach is demonstrated first by applying it to a series-resonant converter, wherein it is used to determine accurate closed-form expressions for its tank current in different operating modes. These expressions are utilized to draw insights that help identify the converter's operating mode, and determine associated expressions for its output voltage and the switching frequency required to achieve a desired output power. The proposed approach is also applied to the multi-inverter multi-element impedance control network (ICN) resonant converter, wherein it is used to derive closed-form expressions for the converter's currents. These expressions are utilized to evaluate the behavior and optimize the design of an ICN resonant converter. A prototype 200-W 500-kHz ICN resonant converter optimized using the proposed approach is used to validate the modeling results. It is shown that there is an excellent agreement between the experimental and modeled waveforms during steady-state operation as well as during startup transients.
Identifying technological sub-trajectories in photovoltaic patents

This paper proposes a search strategy for photovoltaic patents which allows to distinguish the photovoltaic system into sub-trajectories. Identifying and analyzing sub-trajectories is of particular importance for understanding micro patterns of technological change. The proposed search strategy is modular and replicable. It performs similar to leading benchmark search strategies but allows to distinguish three cell sub-trajectories and two system components. Descriptive analysis reveals that inventive activity differs between sub-trajectories. The market dominating silicon wafer cell sub-trajectory shows hardly any patented inventive activity. Country comparison reveals that Asian countries focus on the emerging cell sub-trajectory. The USA focus on the established thin-film sub-trajectory and inventive activity in Germany focuses on module components. While the proposed search strategy allows for a fine-grained analysis of inventive activity in photovoltaics, the empirical assessment of sub- trajectories in general can increase understanding of technological change and can be used to implement policy interventions at a microtechnological level.