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51 results for “university performance”
The Relationship between Vitamin D Status, Intake and Exercise Performance in UK University-level Athletes and Healthy Inactive Controls
<p>The potential ergogenic effects of vitamin D (vitD) in high performing athletes has received considerable attention in the literature and media. However, little is known about non-supplemented university athletes and students residing at a higher latitude. This study aimed to investigate the effects of vitD (biochemical status and dietary intake) on exercise performance in UK university athletes and sedentary students. Physically healthy male and female university students and athletes from the University of Surrey (51.2ºN) were recruited between January and March (2018) to take part in this study. A total of 50 participants (n= 24 males, n= 26 females) were included, 34 (n=18 male, n=16 female) were university athletes competing in a variety of sports. </p> <p>Fasted serum vitD status and sunlight exposure were assessed using LC-MS/MS and dosimetry, respectively. Body composition was measured through the use of a dual-energy x-ray absorptiometry (DEXA) whole body scan (Hologic QDR, Hologic inc. USA). Muscular strength of the upper and lower body was assessed using dominant arm handgrip and knee extensor dynamometry (KE) of the non-dominant leg. Countermovement jump (CMJ) and aerobic fitness were measured using an Optojump and VO<sub>2max</sub> test using a stationery cycle ergometer, respectively.</p>
University of Rochester Audio-Visual Solo Singing Performance (URSing) Dataset
<p>We introduce a dataset for facilitating audio-visual analysis of singing performances. The dataset comprises a number of songs where singers’ solo voices are recorded in isolation. For each song, we provide the high-quality audio recordings of the solo singing voice and mix with accompaniments, and the video recording of the upper body of the vocal soloist which contains facial expressions and lip movements. We anticipate that the dataset will be useful for developing audiovisual source separation systems. Note that some of the accompaniment tracks come with the backing vocals, which introduces extra challenges of developing an audio-based singing voice separation system, and encourages researchers to integrate the soloists’ visual information to facilitate the separation process. We also anticipate that the dataset will be useful for other multi-modal information retrieval techniques such as audiovisual expressions analysis, audio-visual correspondence, audiovisual lyrics transcription, etc.</p>
Рис. 1. Карта-схема литоральных Экспедиций Института биологии морЯ (Национального научного центра морской биологии им. А.В. Жирмунского ДВО РАН) и Дальневосточного государственого университета (Дальневосточного федерального университета) (по: Ivanova, Tsurpalo [2012], с дополнениЯми). Fig. 1. A schematic map of intertidal expeditions performed by the Institute of Marine Biology (A.V. Zhirmunsky National Scientific Centre of Marine Biology FEB RAS) and Far Eastern State University (Far Eastern Federal University) (after Ivanova, Tsurpalo [2012], with additions). in Bivalve mollusks of the intertidal zone of the Far Eastern seas of Russia
Рис. 1. Карта-схема литоральных Экспедиций Института биологии морЯ (Национального научного центра морской биологии им. А.В. Жирмунского ДВО РАН) и Дальневосточного государственого университета (Дальневосточного федерального университета) (по: Ivanova, Tsurpalo [2012], с дополнениЯми). Fig. 1. A schematic map of intertidal expeditions performed by the Institute of Marine Biology (A.V. Zhirmunsky National Scientific Centre of Marine Biology FEB RAS) and Far Eastern State University (Far Eastern Federal University) (after Ivanova, Tsurpalo [2012], with additions).
Dataset: Focus Universal Inc. (FCUV) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: WisdomTree Voya Yield Enchanced USD Universal Bond Fund (UNIY) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Universe Pharmaceuticals INC (UPC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Universal Logistics Holdings, Inc. (ULH) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Universal Stainless & Alloy Products, Inc. (USAP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Universal Electronics Inc. (UEIC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Universal Display Corporation (OLED) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
African Universities Performance Data 2001-2015
<p>Dataset produced by the Higher Education Research and Advocacy Network in Africa (HERANA) containing student, staff and research output data for eight universities in Africa for the period 2001 to 2015. Universities include the University of Botswana, University of Cape Town, University of Dar es Salaam, Eduardo Mondlane University, University of Ghana, University of Mauritius, and University of Nairobi.</p> <p>Publications associated with this dataset include:</p> <ol> <li><a href="http://www.africanminds.co.za/dd-product/research-universities-in-africa/">Research Universities in Africa</a></li> <li> <p><a href="https://www.chet.org.za/papers/empirical-overview-emerging-research-universities-africa">An Empirical Overview of Emerging Research Universities in Africa 2001-2015</a></p> </li> </ol>
Predicting mobility and research performance of the faculty members in the economics departments at Turkish public universities
<p>The data used for the regression analysis is in Table 5 on page 17 of the paper. </p>
Additional CPT's Raw Data performed by Istanbul University-Cerrahpasa in scope of LIQUEFACT project (H2020, 700748)
<p>Additional CPT's Raw Data performed by Istanbul University-Cerrahpasa in scope of LIQUEFACT project (H2020, 700748)</p>
Performance Indicator Data for Eight Research Universities in Africa 2001 to 2015
<p>Student, staff and research performance indicator data for eight research universities in Africa from 2001 to 2015, collected by the Higher Education Research and Advocacy Network for Africa (HERANA), a project of the Centre for Higher Education Trust (CHET).</p>
Digital Transformation and Its Relationship to the Job Performance of Employees at a Private University in Peru
<p><span>Private universities in Peru still need to implement digital transformation models to enhance the job performance of faculty and staff, achieving consistent improvement in the performance levels of university teachers by deploying technological and didactic tools for students. Therefore, the study aims to determine the relationship between digital transformation and the job performance of employees at a Private University. The research approach was quantitative, employing a non-experimental, longitudinal correlational design. The technique used was a survey, applied to a sample of 104 employees (school heads, faculty, and a director) from the university on a national level from a total population of 144. The findings highlight that organizational motivation to achieve high performance significantly affects job performance. This motivation creates pressure to achieve the desired outcomes. According to over 90% of the surveyed faculty, these demands foster a sense of urgency, though sometimes exceeding the capabilities of the employee. Therefore, creating an innovative culture across all hierarchical levels and identifying key technologies that add value to the learning flow can meet the needs of an increasingly demanding society.</span></p> <p><strong><span>Keywords: </span></strong><span>digital transformation, job performance, virtual education, digital tools, educational quality.</span></p>
Dataset on the academic performance of students in 12 programmes from a private university
<p>The dataset on the academic performance of students in 12 programmes from a private university. The overall people sampled for the observation is 2490 undergraduates excavated from 12 programmes which are as follows Computer Science (CIS), Mathematics (MAT), Electrical and Electronics Engineering (EEE), Biochemistry (BCH), Mechanical Engineering (MCE), Microbiology (MCB), Civil Engineering (CVE), Computer Engineering (CEN), Chemical Engineering (CHE), Industrial Chemistry (CHM), Information and Communication (ICE), Petroleum Engineering (PET).</p>
Performance Evaluation: Dataset on the scholastic performance of students in 12 programmes from a private university in the south-west geopolitical zone in Nigeria
<p>Dataset of educational performances of college students in 12 programmes in a private university in Nigeria. The overall people sampled for the observation is 2490 undergraduates excavated from 12 programmes which are as follows Computer Science (CIS), Mathematics (MAT), Electrical and Electronics Engineering (EEE), Biochemistry (BCH), Mechanical Engineering (MCE), Microbiology (MCB), Civil Engineering (CVE), Computer Engineering (CEN), Chemical Engineering (CHE), Industrial Chemistry (CHM), Information and Communication (ICE), Petroleum Engineering (PET).</p>
paper Dataset on the academic performance of students in 12 programmes from a private university
<p>Dataset on the academic performance of students in 12 programmes from a private university. The overall people sampled for the observation is 2490 undergraduates excavated from 12 programmes which are as follows Computer Science (CIS), Mathematics (MAT), Electrical and Electronics Engineering (EEE), Biochemistry (BCH), Mechanical Engineering (MCE), Microbiology (MCB), Civil Engineering (CVE), Computer Engineering (CEN), Chemical Engineering (CHE), Industrial Chemistry (CHM), Information and Communication (ICE), Petroleum Engineering (PET).</p>
Data base: case-based learning with or without Escape Room activities as an active learning approach for improving academic performance and satisfaction among university students of psychology of groups
<p>Data base Database that collects data on gender, age, grade at the beginning of the course, grades of the activity and satisfaction with the activity.</p> <p>An experimental study using randomisation of team work groups was developed. Some student groups developed CBL activities in combination with Escape Room activities, and other student groups developed CBL activities alone. The latter can be considered a control group.</p> <p>This innovative teaching project was performed by social work students at the University of Zaragoza (Spain). This degree comprises 240 ECTS credits spread out over four years. Specifically, this experimental study was created for "Social Work with Groups" , a compulsory subject taught during the second semester of the second academic year of the Social Work degree programme. It is divided into two parts: the first one is presented from a social psychology perspective, and it is made up of five course curriculum topics. The second one is taught from a social work/social services perspective, which focuses more on the specifics of the profession (four course curriculum topics). This experiment was conducted in February and March 2023, during the delivery of the social psychology part of the course. There are taught five course curriculum topics that fall within the domain of social psychology (psychology of groups). These topics are: 1) group meaning and types; 2) group growth processes, cohesion, conflict, obedience and group violence, group decision-making; 3) group structure: definition, status, roles, norms, group culture; 4) leadership and 5) group characteristics such as communication and empathy.</p> <p>The participants were students enrolled in the “Social Work with Groups” course at the University of Zaragoza (Spain) during the 2022-2023 academic year. The sample size was 111 students: 56 performed CBL activities with Escape Room activities, and 55 performed CBL activities without Escape Room activities.</p> <p>The variable outcome of this experimental study was academic performance, assessed by the grade obtained in the mark for CBL activities with a rating from 0 to 10, where the higher score indicated a better performance. This mark showed the number of correct concepts that were identified and extracted from the case. This score was translated to a categorical assessment going from <em>fail</em> (between 0 and 4.9), to <em>pass</em> (between 5.0 and 6.9), to <em>merit</em> (between 7.0 and 8.9), to <em>outstanding</em> (between 9.0 and 10).</p> <p><em>Secondary outcomes</em></p> <p>The secondary variables were: 1) quantitative and qualitative exam score (on the psychology of groups´ contents) 2) students´ satisfaction with the activity, and 3) time needed for performing the activities.</p> <p>The academic performance data were collected using the exam score for the subject (psychology of groups´ contents). This exam consisted of 40 multiple-choice questions with three response options, taking the chance factor into account (so marks were deducted for wrong answers). The quantitative rating of each academic score can range between 0 and 10, with a higher score denoting a higher percentage of correct answers. The categorical holistic assessment of achievement goes from <em>fail</em> (between 0 and 4.9), to <em>pass</em> (between 5.0 and 6.9), to <em>merit</em> (between 7.0 and 8.9), to <em>outstanding</em> (between 9.0 and 10).</p> <p>The data on students´ satisfaction with the activity performed were collected using a self-reporting questionnaire made up of seven statements on the course and teaching methodology used (Gómez-Poyato et al. 2020; Oliván-Blázquez et al. 2022; Olivan-Blázquez et al. 2019), which were answered on a Likert scale from 0 to 4, with 0 meaning <em>not at all</em> and 4 meaning <em>to a great extent</em>. The statements to be evaluated were as follows: the teaching methodology used has encouraged new knowledge acquisition; it has favoured deep learning; it has helped me to think more critically; it has helped me to apply theoretical content to practice; it has helped me to apply theoretical content to assessments; it has helped me to understand concepts better; I believe it is an appropriate teaching methodology. A free response section was also included so that students could express themselves openly.</p> <p>The data for the time used to carry out the activities were also collected, measured in minutes used for finishing the activities.</p> <p>Age, gender and university admittance mark data were also obtained in order to to determine if the student groups were in the same conditions regarding these values at the start of the analysis.</p>
Evaluation of the Performance of MAgnetic Gastrointestinal Universal Septotome for Treatment of Candy Cane Syndrome
ClinicalTrials.gov study NCT05938439. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.