Find research datasets worth reusing

opencc-by-4.0Oct 2016View details →

Binaural room impulse responses recorded with KEMAR in a mid-size lecture hall

The binaural room impulse responses (BRIRs) were measured at the mid-size lecture room Auditorium 3 at the Telefunken-building of TU Berlin. They were measured for six different loudspeaker positions. The head of the dummy head was rotated with a resolution of 1° ranging from -90° to 90°. The measurement equipment was the same as described in Wierstorf et al. [1] [1] Wierstorf, H., Geier, M., Raake, A., Spors, S. (2011) “A Free Database of Head-Related Impulse Response Measurements in the Horizontal Plane with Multiple Distances,” 130th AES Convention, eBrief 6

opencc-by-4.0Dec 2023View details →

III PhasAGE International Conference - Design of novel functional amyloid assemblies - Lecture

The III PhasAGE International Conference "Multiscale understanding of protein aggregation and biomolecular condensates in aging and disease" brought together members of the PhasAGE consortium as well as outstanding international speakers from multidisciplinary fields dedicated to unraveling the intricacies of protein aggregation and biomolecular condensates in the context of aging and disease. For details on the conference program please see https://phasage.eu/iii-phasage-international-conference/.

opencc-by-4.0Jun 2022View details →

PhasAGE Training School 2 - Phase separations and transitions by viral proteins: from viral factories to interference with host cell functions- LECTURE

The Training School 2 “Biomolecular condensates in cell function, aging and disease” is the second edition of a series of PhasAGE training activities.   The main goal of this training school is to raise awareness and provide expertise on fundamental aspects of phase separation and formation of biomolecular condensates, specifically covering the importance of this process to cellular biology and its contribution to the aging process and age-related diseases.

opencc-by-4.0Jun 2022View details →

PhasAGE Training School 2 - Condensation through liquid-liquid separation-LECTURE

PhasAGE Training School 2 “Biomolecular condensates in cell function, aging and disease” is the second edition of a series of PhasAGE training activities. The main goal of this training school is to raise awareness and provide expertise on fundamental aspects of phase separation and formation of biomolecular condensates, specifically covering the importance of this process to cellular biology and its contribution to the aging process and age-related diseases.

opencc-by-4.0Nov 2018View details →

Integrated pedagogical methods effectiveness in Physics' preliminary undergraduate education within the context of large size lectures.

Three files relating the first round of analysis testing active methods for large size lectures. The Presentation including the research design, methods, main results in synthesis is available here: https://www.researchgate.net/project/Getting-started-with-Physics-preliminary-undergraduated-strategies/update/5a44cac6b53d2f0bba475104 2- Dataset on Students' Learning Outcomes. Dataset adopted in the first experimental round. The dataset includes data used for the first type of analysis (learning outcomes) carried out for the ICEM2017 Conference presentation "Integrating MOOCs in Physics preliminary undergraduate education: beyond large size lectures". The data includes the results of the initial, baseline Test, the final Test, and two other variables that could be used to analyse covariance: Sex and Type of Group (Large/Small). 3- Dataset on Students' Opinion. Dataset adopted in the first experimental round. The dataset includes data used for the second type of analysis (students' opinion) carried out for the ICEM2017 Conference presentation "Integrating MOOCs in Physics preliminary undergraduate education: beyond large size lectures". The data includes the results of a final questionnaire gathering the students opinion on the four types of pedagogical factors affecting their experience within a large size lecture: MOOCs, Active Learning, Self-Assessment tools, Tutors’ guidance. 4- Codes and analysis adopted in the first experimental round. The Document includes two analysis carried on for the ICEM2017 Conference presentation "Integrating MOOCs in Physics preliminary undergraduate education: beyond large size lectures". These are: Test (measuring students' knowledge on the subject taught) and Students' Opinion/satisfaction on the several pedagogical methods adopted along the experimental intervention.

PhasAGE Training School 1 -Overview of bioinformatics tools for the life sciences & Classification and evolution of non-globular proteins- LECTUREs

The Training School 1 “Computational Methods to Study Protein Phase Separation” is the first edition of a series of PhasAGE training activities. The goal of this course is to provide participants with the basic knowledge to understand the phenomenon of Phase Separation, its role in biological processes and diseases. In addition, the course will provide an overview of the available computational resources to navigate this knowledge. Participants will have hands-on training in tools and resources available for life sciences, to collect information from the literature on biomolecular phase transitions, identify features triggering phase transitions, mutations associated with diseases, known or predicted PTMs and molecular interaction sites.

PhasAGE Training School 1 - Phase separation in diseases - LECTURE

PhasAGE Training School 1 - Computational prediction and databases of protein phase separation Overview- LECTURE

PhasAGE Training School 1 - Phase separation in virus-host interactions- LECTURE

PhasAGE Training School 1 - Structure and protein interactions of repeated and low complexity regions - LECTURE

opencc-by-4.0May 2023View details →

Assessment of non-communicable diseases screening practices among university lecturers in Ghana – a cross sectional single centre study

This section highlights the various methods used for this study. It covered study setting, study design, study approach, study population, sampling techniques, sample size calculation, inclusion and exclusion criteria, ethical consideration, data collection, data management and data analysis.   Study Setting The study was carried out at Kwame Nkrumah University of Science and Technology (KNUST), Kumasi between February to August, 2022.  The study covered all the six (6) Colleges in the University.   Study Design This was a cross sectional study to ascertain health check practices among university lecturers.   Study Approach The study employed quantitative approach in which data was collected using questionnaires with both closed- and open-ended questions. Study Population The study population involved 838 Lecturers across the six Colleges at Kwame Nkrumah University of Science and Technology (KNUST), Kumasi. A study of the lecturer population per college revealed that Colleges of Health Sciences (highest) and Agric /Natural resources (lowest) were the outliers (Quality Assurance and Planning Office, 2020).   Sampling Technique   Simple probability technique was used to select the name of a college and the day/date to visit. Two sets of papers were folded with names of colleges (set 1) and day/date of visit (set 2). A picker picked one folded paper from each set and the name of the college and the day/date to visit was matched. In this case, the ordering of date and visit gave 1st College of Humanities & Social Sciences, 2nd College of Agric and Natural Resources, 3rd College of Art & Built Environment, 4th College of Engineering, 5th College of Science and 6th College of Health Sciences. We then used the ‘walk in’’ system to select the study participants. Within the days to visit a college, any lecturer we meet in his/ her office was a potential study participant.       Sample Size Calculation The sample size was obtained using Yamane, 1967 formulae as shown below:     Where n= is the population of Lecturers in at KNUST E= is the level of precision Therefore:             n= 838                                       1+838 (0.0025) n =    838 1+ 2.098   838 3.095                                                                                                                 n=270                                                                       However, due to logistical constrains, 205 participants were contacted across the 6 Colleges at Kwame Nkrumah University of Science and Technology. We then applied simple proportions to get the number of lecturers to be consulted in each college.   Inclusion and Exclusions Criteria Inclusion criteria was made up of all Lecturers on KNUST campus who are in active service and consented to participate. All other staff not within this category were excluded from this research.   Ethical Considerations Ethical approval was sought from the CHRPE, KNUST with approval reference no: CHRPE/AP/581/21. The aim of the research was explained to participants. Those who consented to participate in the research were given consent forms to sign and date. Again, participants were assured of confidentiality. Participants were told that, they were free to withdraw from the study in the cause of time. In other words, study participants were not coerced into the study.   Data Collection Tool Data was collected using structured questionnaires. The questionnaires covered dietary intake, alcohol intake, issues on physical inactivity and tobacco use. Aside these four main risk factors of NCDs, the questionnaire also captured frequency of blood pressure checks, blood pressure outcome anytime it is checked (systolic and diastolic), frequency of general body check-up, frequency of anthropometric measurement checks (weight and height), an assessment of impressions about the outcome of weight and height checks, an assessment of intended measures to be taken depending on the outcomes of weight and health checked. Again, the general observation of the nature of job as a lecturer and health status especially the outcome of blood pressure monitoring were also assessed. The questionnaire also captured the socio-demographic status of Lecturers,   Data Management Only the Research Team had access to data. Data was kept confidential. The researchers had planned of disposing data from the storage 5 years after the publication of this research. Collected data was entered and cleaned using Microsoft Excel spread sheet, and then imported into STATA version 14.0 (Stata Corp LP, College Station, Texas, USA) for statistical analysis and results.   Data Analysis Descriptive statistics were used to summarize the characteristics of the study population by employing frequencies and percentages for categorical data. In addition, the degree of relatedness (association) was evaluated using Chi-square (χ2) or Fisher’s exact tests where appropriate with a p ≤0.05 assumed to be statistically significant. Both bivariate and multivariate logistic regression analyses were performed and adjusted for colleges effect to identify associations among the variables of interest. Variables having significant association in the logistic regression models were set at p≤0.05 with 95% confidence interval (95% CI) for both unadjusted and adjusted odds ratios (OR, AOR).   Variables BP was selected as the dependent variable, and in turn define as Normal: ≤ 120/80 mmHg; Elevated: Systolic between 120-129 and diastolic ≤ 80; Hypertension: Systolic ≥ 130 or diastolic ≥ 80. Then dichotomized into Normal blood pressure: ≤ 120/80 mmHg and high blood pressure (Hypertension): ≥ 130/90 mmHg for logistic regression analyses. Independent variables were socio-demographics; gender, age, marital status, staff rank and lecturer’s colleges (categorized into binary variable; COHS /COS/COE and CABE/CANR/COHSS), family history of NCDs and health check status. In this study, the variable “very often” denotes (doing the activity in question more than 4 times a month), “often” denotes (doing the activity in question at least twice a month), and “not often” denotes (doing the activity in question once a month).

opencc-by-4.0May 2023View details →

Assessment of non-communicable diseases screening practices among university lecturers in Ghana – a cross sectional single centre study

Data Collection Tool Data were collected using structured questionnaires. The questionnaires covered dietary intake, alcohol intake, issues with physical inactivity, and tobacco use. Aside from these four main risk factors of NCDs, the questionnaire also captured the frequency of blood pressure checks, blood pressure outcome anytime it is checked (systolic and diastolic), frequency of general body check-ups, frequency of anthropometric measurement checks (weight and height), an assessment of impressions about the outcome of weight and height checks, an assessment of intended measures to be taken depending on the outcomes of weight and health checked. Again, the general observation of the nature of the job as a lecturer and health status especially the outcome of blood pressure monitoring were also assessed. The questionnaire also captured the socio-demographic status of Lecturers,   Data Management Only the Research Team had access to data. Data was kept confidential. The researchers had planned of disposing data from the storage 5 years after the publication of this research. Collected data was entered and cleaned using Microsoft Excel spread sheet, and then imported into STATA version 14.0 (Stata Corp LP, College Station, Texas, USA) for statistical analysis and results.   Data Analysis Descriptive statistics were used to summarize the characteristics of the study population by employing frequencies and percentages for categorical data. In addition, the degree of relatedness (association) was evaluated using Chi-square (χ2) or Fisher’s exact tests where appropriate with a p ≤0.05 assumed to be statistically significant. Both bivariate and multivariate logistic regression analyses were performed and adjusted for colleges' effect to identify associations among the variables of interest. Variables having significant association in the logistic regression models were set at p≤0.05 with 95% confidence interval (95% CI) for both unadjusted and adjusted odds ratios (OR, AOR).   Variables BP was selected as the dependent variable, and in turn define as Normal: ≤ 120/80 mmHg; Elevated: Systolic between 120-129 and diastolic ≤ 80; Hypertension: Systolic ≥ 130 or diastolic ≥ 80. Then dichotomized into Normal blood pressure: ≤ 120/80 mmHg and high blood pressure (Hypertension): ≥ 130/90 mmHg for logistic regression analyses. Independent variables were socio-demographics; gender, age, marital status, staff rank, and lecturer’s colleges (categorized into binary variables; Colleges, family history of NCDs, and health check status. In this study, the variable “very often” denotes (doing the activity in question more than 4 times a month), “often” denotes (doing the activity in question at least twice a month), and “not often” denotes (doing the activity in question once a month).

opencc-by-4.0Nov 2023View details →

III PhasAGE International Conference - PED in 2024: improving the community deposition of structural ensembles for intrinsically disordered proteins - Lecture

opencc-by-4.0Sep 2017View details →

Scaling in the Immune System and Computational Immunology: Lecture Series

How different is the immune system in a human from that of a mouse? Do pathogens replicate at the same rate in different species? Answers to these questions have impact on human health since multi-host pathogens that jump from animals to humans affect millions worldwide. It is not known how rates of immune response and viral dynamics vary from species to species and how they depend on species body size. Metabolic scaling theory predicts that intracellular processes will be slower in larger animals since cellular metabolic rates are slower. We test how rates of pathogenesis and immune system response rates depend on species body size. We hypothesize that immune response rates are invariant with body size. Our work suggests how the physical architecture of the immune system and chemical signals within it may lead to nearly scale-invariant immune search and response. We fit mathematical models to experimental West Nile Virus (WNV, a multi-host pathogen) infection data and investigate how model parameters characterizing the pathogen and the immune response change with respect to animal mass. Phylogeny also affects pathogenesis and immune response. We use a hierarchical Bayesian model, that incorporates phylogeny, to test hypotheses about the role of mass and phylogeny on pathogen replication and immune response. We observe that: 1. Hierarchical models (informed by phylogeny) make more accurate predictions of experimental data and more realistic estimates of biologically relevant parameters characterizing WNV infection. 2. Rates of WNV production decline with species body mass, modified by a phylogenetic influence. Our work is the first to systematically explore the role of host body mass in pathogenesis using mathematical models and empirical data. We investigate the complex interplay between the physical structure of the immune system and host body mass in determining immune response. The modeling strategies and tools outlined here are likely to be applicable to modeling of other multi-host pathogens. This work could also be extended to understand how drug and vaccine efficacy in humans may systematically differ from that in model organisms like mice, in which most initial experimental studies are conducted.

opencc-by-4.0Nov 2024View details →

Lecturer Performance: The Influence of Transformational Leadership Style, Work Environment, Compensation, and Institutional Transformation

This study aims to test and analyze the influence of transformational leadership style, work environment, compensation, and institutional transformation on the performance of lecturers at the Mandala Institute of Technology and Science. This study uses a quantitative approach. Data analysis uses descriptive statistical analysis and inferential statistical analysis that describes a certain characteristic or feature of a phenomenon that occurs and makes conclusions or generalizations about the population based on sample data. The sample used was 48 lecturers at the Mandala Institute of Technology and Science. The results of the study indicate that compensation affects lecturer performance, while transformational leadership style, work environment, and institutional transformation do not affect lecturer performance. The implications of this study indicate that increasing compensation can significantly improve lecturer performance at the Mandala Institute of Technology and Science, so it is important for institutions to focus on fairer and more adequate compensation policies. Conversely, improvements in transformational leadership style, work environment, and institutional transformation need to be adjusted to the specific context and needs of lecturers in order to have a more significant impact on performance.

VISION Invited lecture - Bariatric surgery and non-alcoholic fatty liver disease

Recording and presentation of the invited lecture that took place online on 16 June 2021 - Pantelis Antonakis, MD, PhD - Bariatric surgery and non-alcoholic fatty liver disease. Bariatric surgery is a documented solution for morbid obesity. Additionally to excess weight loss, significant improvement in comorbidities is an established benefit after bariatric operations. In recent years, non-alcoholic fatty liver disease (NAFLD) has emerged as one of these comorbidities. Herein we will review the data supporting the positive effect of bariatric surgery in patients with NAFLD.

VISION Invited lecture - Microfluidic technologies and their applications in cell biology

Recording and presentation of the invited lecture that took place online on 27 April 2021 - Thorsten Knoll - Microfluidic technologies and their applications in cell biology. In the past twenty years, microfluidic devices and systems have gained in importance in the field of bioanalytics and biomedicine, not only in research but also in the market. Lab-on-chip systems with microfluidic structures serve for medical tests with body fluids or extractions from fluids. Besides, microfluidic systems are also used for cell handling and culturing, for the mixing of liquids and for measuring quantitative amounts of components in liquid samples. Fraunhofer IBMT develops microfluidic systems for various applications in the field of life sciences. Different miniaturized approaches and solutions exist e.g. for transport studies or toxicological assays with single cells, 2D cell layers or 3D cell aggregates. The online lecture will cover some basic considerations regarding microfluidics and IBMT’s technological solutions for the fabrication of microfluidic devices and their use in different application scenarios. Furthermore, the presentation describes solutions for the integration of the microfluidic devices in a complete set-up comprising of peripheral fluidic components and optical or electrical measurement systems.

VISION Invited lecture - Molecular and Cellular mechanisms/biomarkers in PDAC

Recording and presentation of the invited lecture that took place online on 11 November 2020 - Dr Laura Garcia Bermejo - Molecular and Cellular mechanisms/biomarkers in PDAC. Pancreatic ductal adenocarcinoma is a fatal disease that presents metastases at diagnosis in most of the cases leading to cancer-associated death. Mutations in drivers’ genes including KRas, CDKN2, Tp53 and SMAD4 and DNA repair genes have been already linked to pancreas cancer development. Pancreatic cancer cells possess properties of plasticity highlighting the epithelial mesenchymal transition and pluripotency genes as critical mediators in pancreas cancer development and progression. Both, EMT and plasticity could be responsible of the limited efficacy of current treatments. Additionally, microRNAs (miRNAs) small non-coding RNAs that regulate the expression of multiple messengers in the post-translation process emerge as promising biomarkers for prognosis, patient stratification and response to advanced pancreatic therapies. Profiling of deregulated miRNAs in pancreatic cancer can contribute to accurate diagnosis and molecular subtype characterization as well as indicate optimal treatment and predict response to therapy. Furthermore, understanding the main effector genes upon miRNAs regulation can also identify miRNAs as potential therapeutic candidates. However, obstacles to the translation of miRNAs into the clinical practice should be also considered, therefore validation of the profiles and the specific role of miRNAs in pancreas cancer development and progression are required for real clinical application.

VISION Invited lecture - Future approaches of pancreatic ductal adenocarcinoma

Recording and presentation of the invited lecture that took place online on 14 October 2020 - Prof Alfredo Carrato - Future approaches of pancreatic ductal adenocarcinoma. Although pancreatic ductal adenocarcinoma (PDAC) is not so frequent, it is the third leading cause of cancer death. As it shows non-specific symptoms it is diagnosed late and only 20% of patients are surgery candidates. Tumor recurrs locally or distantly after surgery in two thirds of them. Only 5% of PDAC patients survive 10 years. Targeted therapies have not yet proven their efficacy and treatment prescribed consists of chemotherapy combinations. PDAC has a dense stroma that reaches an 80% of the tumor, helping PDAC epithelial tumor cells to evade the immune system and growth, invade and metastasize through a crosstalk among PDAC cells and fibroblasts, macrophages, pericytes, stroma, etc. Targeting the stromal constituents may result in a step forward a better treatment efficacy. PDAC microbiome is unique and has been identified into the cancer cells and the local immune cells. Wisely management of the different resident microbial species could also result in prevention and another alternative for treatment. The identification of the PDAC high-risk population and the development of a convenient screening program is an objective to be reached for an earlier diagnosis and a potential advantage as more patients will be candidates for surgery, but to know in depth and detail the biology of the tumor and its interaction with the host will lead to a better treatment design and a real benefit of our patients.

VISION Invited lecture - Advances in familial pancreatic cancer

Recording and presentation of the invited lecture that took place online on 28 October 2020 - Dr Julie Earl - Advances in familial pancreatic cancer. The prognosis of patients diagnosed with pancreatic cancer (PC) is dismal with a 5 year survival rate of around 5% as the majority of patients present with advanced disease. Very few risk factors have been identified, although there is good evidence to suggest that smoking, obesity, a family history of pancreatic cancer, pancreatitis and diabetes increase pancreatic cancer risk. Sporadic PC occurs worldwide at an approximate frequency of 1 in 10,000 people. However, the risk of developing PC increases according to the number of affected family members, the standard incidence ratio is 4.6 with one affected family member to 32 with three affected family members. Familial pancreatic cancer (FPC) is defined as a family with at least one pair of affected first degree relatives and an estimated 4-10% of pancreatic cancers diagnosed have a familial background. Approximately 10–13% of FPC families carry germline mutations in BRCA2, PALB2, ATM, CHEK2, CDKN2A, Lynch syndrome mismatch repair genes, Fanconi anaemia related genes and PRSS1 and SPINK2 (hereditary pancreatitis), among others. The understanding of genetic basis of hereditary pancreatic cancer has important implications for the identification of true high-risk individuals in order to optimise secondary screening strategies.