Abstract

Abstract

Background: Adolescent girls in Kenya are disproportionately affected by early and unintended pregnancies, unsafe abortion and HIV infection. The In Their Hands (ITH) programme in Kenya aims to increase adolescents' use of high-quality sexual and reproductive health (SRH) services through targeted interventions. ITH Programme aims to promote use of contraception and testing for sexually transmitted infections (STIs) including HIV or pregnancy, for sexually active adolescent girls, 2) provide information, products and services on the adolescent girl's terms; and 3) promote communities support for girls and boys to access SRH services.

Objectives: The objectives of the evaluation are to assess: a) to what extent and how the new Adolescent Reproductive Health (ARH) partnership model and integrated system of delivery is working to meet its intended objectives and the needs of adolescents; b) adolescent user experiences across key quality dimensions and outcomes; c) how ITH programme has influenced adolescent voice, decision-making autonomy, power dynamics and provider accountability; d) how community support for adolescent reproductive and sexual health initiatives has changed as a result of this programme.

Methodology ITH programme is being implemented in two phases, a formative planning and experimentation in the first year from April 2017 to March 2018, and a national roll out and implementation from April 2018 to March 2020. This second phase is informed by an Annual Programme Review and thorough benchmarking and assessment which informed critical changes to performance and capacity so that ITH is fit for scale. It is expected that ITH will cover approximately 250,000 adolescent girls aged 15-19 in Kenya by April 2020. The programme is implemented by a consortium of Marie Stopes Kenya (MSK), Well Told Story, and Triggerise. ITH's key implementation strategies seek to increase adolescent motivation for service use, create a user-defined ecosystem and platform to provide girls with a network of accessible subsidized and discreet SRH services; and launch and sustain a national discourse campaign around adolescent sexuality and rights. The 3-year study will employ a mixed-methods approach with multiple data sources including secondary data, and qualitative and quantitative primary data with various stakeholders to explore their perceptions and attitudes towards adolescents SRH services. Quantitative data analysis will be done using STATA to provide descriptive statistics and statistical associations / correlations on key variables. All qualitative data will be analyzed using NVIVO software.

Study Duration: 36 months - between 2018 and 2020.

Geographic coverage

Homabay county

Analysis unit

Households

Universe

Adolescent girls aged 15-19 years, parents and the community health volunteers

Sampling procedure

Quantitative Sampling

We estimated a sample size of 1,918 to detect a five percentage-point difference in the use of long term methods between baseline and endline time points at 80% power.As baseline, 23% of the adolescent girls reported that they were using long term methods in Homa Bay county. We sampled three sub counties—Ndhiwa, Homa Bay town and Kasipul for the endline survey. However, as fieldwork was interrupted due to the COVID-19 pandemic, we added one sub county—Karachuonyo sub county—when data collection resumed in September 2020. Sub counties and wards were purposively selected from sub counties that had been prioritized for the ITH program based on availability of ITH affiliated health facilities. The purposive selection of sub counties based on presence of ITH intervention affiliated health facilities meant that urban and peri-urban areas were oversampled due to the concentration of the health facilities in urban/peri-urban areas. In each ward, eight villages that formed the immediate catchment area for each ITH program affiliated health facilities were then selected for the study. We conducted a household listing of all households in each sampled village to identify households with an adolescent girl who met the study's inclusion criteria. Households were then randomly sampled from the list of households with eligible adolescents of age 15-19 years. To be eligible, an adolescent girl had to be aged 15-19 years, resident in the study area for at least six months preceding the study. Accordingly, students who stayed in boarding schools away from their parents were excluded from the study.

Qualitative Sampling

The qualitative component involved in-depth interviews (IDIs) with adolescent girls ages 15-19 years and focus group discussions (FGDs) with parents/adults and CHVs. We conducted IDIs with adolescent girls who had enrolled in the program but dropped out for various reasons, as well as girls who were enrolled and still using t-safe services. In addition, we conducted FGDs with CHVs and parents/adult caretakers of adolescents aged 15-19 years from the program areas. Participants were purposively selected from the villages included in the evaluation study. For the endline study, we conducted 17 IDIs with adolescents who had been enrolled in the ITH program and were receiving services or had dropped from the program. We also conducted two FGDs with CHVs and four FGDs with parents/adultcaretakers of adolescents aged 15-19 years.

Sampling deviation

N/A

Mode of data collection

Face-to-face [f2f] for quantitative data collection and Focus Group Discussions and In Depth Interviews for qualitative data collection

Research instrument

An interviewer-administered questionnaire was used to collect data from adolescent girls. The questionnaire included questions on socio-demographic and household characteristics; SRH knowledge and sources of information; sexual activity and relationships; contraceptive knowledge, access, choice and use; and exposure to family planning messages and contraceptive decision making. To assess adolescents’ exposure to the t-safe program we included a series of questions drawn from similar project evaluation surveys as well as t-safe project program monitoring indicators. The questions assessed whether adolescents had ever heard the t-safe program, whether they have ever been contacted by mobilizers, whether they participated in any community event organized by the t-safe mobilizers, whether they received information about SRH through t-safe affiliated organizations Facebook or website, and whether they received SMS or WhatsApp messages focused on SRH from tsafe. For those who responded positively, the survey asked further questions on the sources; from which site on internet or Facebook’ or ‘which person or organization sent you these messages’ and ‘how many times have you received information’. Adolescents were also asked whether they had ever registered to a t-safe or Triggerise platform using a mobile phone after discussing with a mobilizer, after discussing with their peers or family members or by themselves after hearing from some other places. The questionnaire was developed in English and then translated into Kiswahili. Data were collected on android tablets programmed using the Open Data Kit (ODK)-based SurveyCTO platform.

For the qualitative component ;Semi-structured interview guides were developed by experienced researchers in consultation with the program partners for the qualitative interviews (with adolescent girls) and FGDs (with parents/adult caretakers of adolescents and CHVs). The guides included probes to explore adolescents' exposure to the ITH program; their experiences with program's SRH services; their perceptions on quality of services; as well as challenges and barriers to access of SRH services. The guides also included probes on the community’s "support" for adolescents' sexual and reproductive health services and; their perspectives on the effects of the program. The guides were developed in English and then translated into Kiswahili for data collection. The guides were pre-tested during the pilot study.

Cleaning operations

Quantitative data was collected on android tablets programmed using the Open Data Kit (ODK)-based SurveyCTO platform while qualitative data was collected using a recorder.Once quantitative data were confirmed to be complete, the data was approved for synchronization. Data were electronically transmitted to a secure password protected SurveyCTO server at the APHRC office. Backup versions of the data remained in the encrypted and password-protected tablets until the end of field activities when all the data were considered to have been synchronized. Subsequently, tablet was securely and permanently cleaned. Data on the server were retrieved by the data manager and then downloaded for use. For qualitative data, audio recordings from qualitative interviews were transcribed and saved in MS Word format. The transcripts were stored electronically in password protected computers and were only accessible to the evaluation team working on the project.

Response rate

N/A

Sampling error estimates

N/A

These are data from 48 selected peer-reviewed articles and 13 other grey literature regarding effectiveness of radon mitigation systems installed in residential or model houses. Some of the documents described also the factors that need to be considered in installing the mitigation systems.
The screened and critically appraised data were synthesized data using PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analysis) 2009 checklist. We assessed quality by using Cochrane Risk of Bias Tool for the experimental and Hamilton tool for the non-experimental and uncontrolled studies. We included 61 pieces of literature for the final review. 13 were various types of documents, and 48 were peer-reviewed articles. Among the latter, seventeen were experimental studies, three reviews, 22 quantitative, one case-control study, four case studies, one qualitative research. Among the experimental studies, fifteen were of high quality and two of moderate quality. Among 22 non-experimental quantitative studies, 15 were of high quality and 7 of moderate quality; all the case and qualitative studies were of high quality.

Level of reporting of TIDieR items in SDM interventions.

This is the secondary data set and R-Code of R statistical software (version 4.2.1) to investigate the differences and commonalities in the existence of policies regarding person-centred dementia care (PCDC) measured with the Dementia Policy Questionnaire (DemPol-Q) in different care unit types in German nursing homes using a contingency table and Fisher’s exact test. The data from the secondary data analysis were collected in the “BeStaDem” Survey Study, funded by the German Research Foundation (DFG, project number: 430919791), and performed by Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) e.V., site Witten. This quantitative analysis is one part of the article “Describing the Status Quo of Person-Centred Dementia Care within Different Types of Care Units in German Nursing Homes – A Convergent Mixed Methods Study”.

Market research operators in Canada suffered from modest swings in revenue stemming from economic volatility for most of the period. While the period started with a dip in revenue because of the pandemic, the changing media landscape and the ability to conduct online market research kept sales from dropping drastically. Market research is needed in times of economic uncertainty since it helps customers navigate unknown waters. Although the economy reopened, a spike in inflationary pressures severely harmed revenue in 2021 and 2023, as corporate clients endured volatility across their balance sheets, which dampened demand for operators' services. This economic volatility also dampened profit for operators, with lower consumer confidence playing a key role in this trend. Even so, with interest rates finally falling in the middle of 2024, revenue came back on track and is set to push up an estimated 8.3% in 2025 alone. Overall, revenue is set to swell at a CAGR of 1.3% to an estimated $1.5 billion as the need for market research has recovered. As the popularity of digital media and e-commerce has risen, operators have adapted their services to provide up-to-date and more granular analysis reflecting the data available from these channels. Smaller, less costly single-operator companies flooded the industry amid low barriers to entry and improving economic conditions. Even so, the shifting media landscape and rapidly changing consumer trends have encouraged some operators to consolidate and streamline their operations, bolstering competition among existing companies. As corporations endured upticks in sales, they sought the expertise of market research companies to expand operations and revamp their product and service offerings. By 2030, Canadians' consumption activity will change significantly, requiring more consumer research and new research methods. Operators are in a position to capitalize on emergent trends and business structures. Those who succeed in evolving alongside the ever-changing landscape will find new verticals and horizontals to climb into. As new technologies and innovations like real-time data and insights expand, market research will remain a central pillar of business strategy, ensuring revenue growth. Overall, revenue is set to expand at a CAGR of 3.9%, reaching $1.9 billion in 2030.

The study utilized both primary and secondary data sources. A survey adapted from Santelices' study (2024) was administered, employing a 5-point Likert scale to evaluate interns' performance. Likert scale data, commonly utilized in medical, educational, and psychometric studies, aids in comprehending individual attitudes (Mirahmadizadeh et al., 2018). Surveys were distributed to immediate supervisors at Host Training Establishments (HTEs) where fourth-year BSCpE undergraduate students completed internships. Respondents rated interns' performance using descriptors ranging from 'Excellent' to 'Poor'.

The provided rating sheet facilitated a comprehensive evaluation framework across three areas: Personal Attitudes, Work-Related Skills, and Human Relation Skills. Under Personal Attitudes, interns were assessed on professionalism, reliability, integrity, teamwork, proactiveness, consistency, receptiveness to feedback, and attention to accuracy. The Work-Related Skills section focused on workplace maintenance and technical proficiency in computer science and information technology tasks. The Human Relation Skills category evaluated interpersonal abilities, including the capacity to foster positive relationships.

This approach enabled a holistic assessment, considering not only technical competencies but also attitudes and interpersonal skills crucial for internship success.

Furthermore, secondary data from the university registrar's archives was utilized to determine the gender distribution of student interns. Official permission was obtained from the university's Office of Research Ethics on February 23, 2023, enabling the inclusion of gender-related information in the research analysis.

The data presented is derived from a three-year project (2016-2019), which was undertaken by the University of Oxford’s Centre on Skills, Knowledge and Organisational Performance (SKOPE), with funding from the Economic and Social Research Council (ESRC). It formed part of a project funded from the Open Research Area (ORA) for the Social Sciences to undertake a comparative quantitative secondary data analysis study of young people not in education, employment or training in the UK, the Netherlands, Japan, Germany and France to understand the causes and consequences of NEET status. Alongside the quantitative analysis within the UK strand of the research, a review of NEET policy interventions across the four UK nations was undertaken, to explore the absence of a UK-wide strategy or common approach to address the issue. An initial visit was made to policy makers with responsibility for the NEET agenda across the UK to discuss policy strategy and intervention, obtain policy background information and to secure their cooperation. This was followed by a two-or-three-day visit to each locality to conduct a series of face-to-face qualitative interviews (or telephone interviews) with key stakeholders, including representatives from government departments and agencies, charities, youth organisations and training providers. The interview transcripts from this stage of the research form the submission to ReShare. The final stage of the fieldwork comprised convening policy seminars in each of the four localities, in order to feedback initial findings and, crucially, to assess their accuracy as well as to identify shifts and changes in policy direction since the study visits.

The University of Oxford’s Centre on Skills, Knowledge and Organisational Performance (SKOPE), as part of a consortium led by the University of Maastricht secured funding from the Open Research Area (ORA) for the Social Sciences to undertake a comparative study of young people not in education, employment or training (NEET). Secondary quantitative data analysis and longitudinal qualitative case studies addressed the following key research questions: 1) What are the patterns of NEET? 2) What are the causes of NEET? 3) To what extent can (a) individual characteristics, and (b) countries’ institutions and policies, and the interactions between them explain the probability that young people aged between 16-29 years make transitions into and out of NEET status? 4) What are the consequences of NEET?

The study used an explanatory sequential mixed method design. This method is appropriate for examining the employment status of STEM graduates in terms of gender as well as the time it takes for graduates to secure their first job after graduating. The method is also employed to look at how staff in higher education supports female graduates in their search for employment after graduation. By design, this study collects data in a sequential fashion, starting with quantitative data and moving on to qualitative data that provide context for the quantitative data.Both primary and secondary sources of data were employed in the study (See Figure A). While information from secondary sources was gathered using Eric, Scopus, and Google search engines, information from primary sources was gathered through questionnaires and interviews. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) was used to conduct the analysis. Using the keywords employment status, duration of job search, and gender-responsive support of higher education, the first 221 articles were collected. Only 15 articles were chosen when PRISMA used the inclusion and exclusion criteria to filter out publications gathered between 2012 and 2024. The information gathered from secondary sources was utilized to triangulate the findings of the primary data sources. The following figure shows the data sources.Figure A: Data sources for the study (see the Description Word Doc. in the dataset)Based on the explanatory sequential mixed method design, quantitative data analysis was first carried out. In order to determine whether there were statistical differences in the employment status and the time it took for male and female STEM engineering graduates to find jobs, the chi square test was employed. An analysis of the degree to which higher education institutions assist female graduates in their job search was also done using an independent samples t-test. The viewpoints of academics from these related universities and prospective employers of STEM graduates were captured through the use of qualitative data.

This paper examines whether green financing creates inclusive growth in Ghana. Quantitative time series data spanning 1990 to 2020 were gathered from secondary sources. Secondary data gathered from World development index, UNDP, UNEP, and IEA were used to establish the link between green financing and inclusive growth in Ghana. CO2 emissions per capita and renewable energy as percentage of total primary energy were used as proxies for green financing whilst human development index, education and life expectancy were used as proxies for inclusive growth. The ARDL techniques were adopted to analyse the data. The study finds that clean energy, CO2 emission reductions and education do not create inclusive growth in Ghana in the short-run. Improvement in the human development index and life expectancy creates inclusive growth both in the short and long run. The study demonstrates that education without appropriate skills and employment avenues would not reduce poverty and spurs on inclusive growth. Purposive sampling approach and desk survey method were adopted to gather the data from the World Bank, United Nations, UNDP, IEA, OECD, IMF, GSS, GLSS, and Ghana Multidimensional Poverty documents for the analysis. Explanatory and descriptive techniques were applied to arrive at the conclusions based on the data collected. To situate this study in context, the human development model was used to link the concepts and variables to arrive at a clear conclusion. This econometric model adopted is convenient for any data size (Odhiambo, 2009). Vector auto regression technique is used and the Granger causality model is applied based on the error-correction mechanisms. The paper used ARDL regression and bound test analysis to assess the interconnection between green financing indicators and inclusive growth. The ARDL regression model works by using one or more independent variables to predict the impacts on dependent variable (Kumari & Yadav, 2018). The connection between dependent variable and one or more independent variables were assessed, and since this paper tested for the impact of green finance indicators on inclusive growth, the use of ARDL regression is fit and proper. The econometric model adopted was: INCGROWTH = β0 +β1CO2EM + β2CLENRG + β3EDU + β4LEXP + β5HDI + εi Methodologically, the estimation focus is on how changes in the green financing might affect inclusive growth in Ghana. It is necessary to expatiate the property of time series variables in the ARDL model to determine how well they work with the preferred estimating method before looking at the results. This is usually done using the Unit Root Test.

Abstract

High quality postgraduate training in science, technology, engineering and mathematics (STEM) related disciplines in sub-Saharan Africa (SSA) is important to strengthen research evidence to advance development and ensure countries achieve the Sustainable Development Goals (SDGs). Equally, participation of women in STEM careers is vital, to ensure that countries develop economies that work for all their citizens. However, women and girls remain underrepresented in STEM due to gender stereotyping, lack of visible role models, and unsupportive policies and work environments. Therefore, there is a need to consolidate information on participation and experiences of women in STEM related postgraduate training and careers in SSA to enhance their contribution to realizing the SDGs. The primary objective of this study is to examine the participation and experiences of women in postgraduate training, and their subsequent recruitment, retention and progression in STEM careers in East Africa. A secondary objective is to establish the gender gaps in training and career engagement in selected STEM related academic disciplines in East Africa. The descriptive study will employ a mixed methods approach, including a scoping review, qualitative interviews, and quantitative analysis of secondary data. We will synthesize results to inform the development of an effective gendered approach and framework to improve participation and experiences of women in STEM training and career engagements in SSA. We will conduct the study over a period of five years.

Geographic coverage

Regional coverage (East Africa Region)

Analysis unit

Individual Women in STEM

Universe

Qualitative data: Women in Science Technology Engineering and Mathematics (STEM) in postgraduate training and career Quantitative data: Postgraduate students, faculty, reseachers and supervisors (both men and women) in STEM in Inter-University Council for East Africa (IUCEA) member Universitiies

Sampling procedure

The study utilized a purposive sampling technique and targeted all universities that offered doctoral programs in applied sciences, technology, engineering, and mathematics. At the time, only 23 of the 74 universities in Kenya—equivalent to 30%—offered doctoral degrees in STEM. It was assumed that a similar or lower percentage would be found in the other five countries, namely Uganda, Tanzania, Rwanda, Burundi, and South Sudan.

Purposive sampling was used to recruit participants from purposively selected universities and national higher education commissions and agencies for the study. In universities, all students enrolled in doctoral programs in STEM were considered. Additionally, female and male students' lecturers, supervisors, mentors, and other faculty members and researchers in the identified institutions were also considered for participation in the study.

Purposive sampling of doctoral students, faculty, and early career researchers (post-doctoral fellows within the first six years since receiving their PhD) was conducted using the following inclusion criteria:

Inclusion criteria i. Worked in a STEM field/discipline ii. Enrolled in a doctoral program within a STEM field iii. Early career researchers in a STEM field in research organizations iv. Faculty in a STEM field at a university

Additionally, registrars, postgraduate training coordinators, heads of departments, and officials from national agencies and ministries related to postgraduate training and research were purposively selected from all the identified universities to provide input on existing policies, guidelines, and enrollment data. For each of the mentioned groups, 7-12 interviews were conducted, totaling 60 interviews.

Sampling deviation

Qualitative For the Key informant interviews one participant was interviewed from the engineers board despite the scope being Inter-University Council for East Africa (IUCEA) member Universities.

Quantitative The online survey was completed by some researchers not working/teaching in IUCEA member universities

Mode of data collection

Other [oth]

Research instrument

Quantitative data collection A. Online Survey This was carried out through an online survey questionnaire that was circulated via email and other digital platforms such as WhatsApp. The questionnaire had various parts: Part A - Participants characteristics This section mainly collected demographic details such as age, gender, nationality, residence, marital status, income, highest level of education completed, year of study, supervision and mentoship relationship, field of study in STEM (Science, Technology, Enginnering and Mathematics), mode of funding of postgraduate degree,

Part B - Status of Gender equality This section collected information on students enrollment and graduation in masters and PhD in STEM looking at gender distribution,

Part C - Factors that contribute to participation of women in STEM This section collected information on the factors or situations encountered while pursuing career in STEM in your specific discipline

Part D - Strategies for Optimizing Women's Engagement in STEM This section collected information on the strategies can maximize engagement of women in STEM training PhD level and subsequent careers

Part E - Effect of the COVID-19 pandemic on women's progression In this section collected information on COVID-19 pandemic affect on research progress or deadline for submission of thesis, COVID-19 pandemic affect on current research funding, COVID-19 pandemic caused researchers to work from home, working from affected progress in studies, any direct responsibilities caring for children, number of children being taken care of, change of domestic work responsibilities since the COVID-19 outbreak, change of domestic work responsibilities since the COVID-19 outbreak on studies, COVID-19 pandemic affect on access to these research tools which inlude: Computer or laptop, Reliable Internet, Assistive Technology, Laboratory equipment, University Library, Archives/special collections and Access to patients/research participants. It als collected information on: any benefits to COVID-19 pandemic for your work, some ways one thinks their supervisor or line manager could support or help one manage the impacts of COVID-19 on studies

The questionnaire was developed in English and was latertranslated into French to accommodate the French speaking countries i.e Burundi and Rwanda. The French questionnaire was backtlanslated to English to ensure the questions still maintained their original meaning. This work was done by an external consultant and the French questionnaires were reviewed by the research assistant from Burundi and tested among postgraduate students in Light University.

All questionnares and modules are provided as external resources.

Cleaning operations

Qualitative The data was collected through qualitative interviews (In-depth interviews) and focus group discussions. They were audio recorded and the recordings were transcribed on Ms Ofiice.The transcript were subjected to data quality checks and the clean transcripts were anonyzed for data protection.

QUANTITATIVE Secondary data The data was collected from the five countries in an Ms Excel designed data abstraction sheet. The data abstraction sheet helped the universities administrators and rergistrars to directly enter the data only in the required field and for the defined or specific variables. For the dataset that was in hardcopy format the data entry was also done using the data abstraction sheets. The data sets were subjected to data quality checks for data quality. We used a standard template to ensure data editing took place during data entry.

Online survey Data entry was in form of responding to the survey. Data editing was done while cleaning the data.

Response rate

Quantitaive The online survey link was circulated using contacts within universities and research institutions in East Africa via email and social media platforms such as WhatApp hence it is impossible to track those who received the survey and hence it is not possible t calculate the survey response rate.

Sampling error estimates

NA

Gain in-depth insights into report_name from Market Research Intellect, valued at current_value in 2024, and projected to grow to forecast_value by 2033 with a CAGR of cagr_value from 2026 to 2033.

This project aimed to advance the understanding of the relationship between financial education and practice in London's financial district. Face-to-face semi structured interviews were conducted with managers and educators in a range of business education provides (business schools, professional associations and education companies), human resource managers and investment bankers engaged in business education in investment banks, and professional bodies involved in promoting the development of London as a international financial centre. Trade associates of investment bankers and organisations were also interviewed. 53 interviews were conducted but only 27 interviews were transcribed and made available.

A desk based review and an online survey of education providers also took place in this study. Following these, 3 observations of financial business education teaching were conducted.

Postgraduate business education and training has been identified by both academics and policy-makers as an important way of producing a skilled labour force that is seen as vital to maintaining London's competitive position as a leading international financial centre. However, relatively little is known about the nature of the links between such education and financial services practice. This research addresses this oversight by providing a theoretically informed assessment of the importance of professional financial education provided by business schools, specialist training companies and professional associations in shaping financial services practice. It focuses on the post-graduate education and training of corporate financiers working in London's financial services district. The research will use qualitative and quantitative methods including interviews, observation of business education courses, secondary data analysis and a survey of business education providers. This data will be used to develop understandings of: the ways financial theories move into financial practice; the types of educational institutions involved in this movement; and, how financial theories change as they move from 'classroom' settings into practice. It will also provide important information concerning the possibility for London to position itself as a leading centre of postgraduate, professional education.

The supplementary materials accompanying the paper: "A scoping review of studies on ruscism". These materials include: raw data from citation databases, table for quantitative analysis of imported bibliographic data, key topics and content analysis of publications, python code. These supplementary materials are intended to enhance the usability of the research data, allowing for in-depth secondary analyses and aiding scholars in conducting related studies.

Characteristics of participants enrolled in MTN-038, a Phase 1, randomized-controlled trial to evaluate a 90-day 1.4-gram tenofovir vaginal ring (N = 49)4.

Abstract copyright UK Data Service and data collection copyright owner.

The Research Capacity Building Network (RCBN) was a key part of the Economic and Social Research Council's (ESRC) Teaching and Learning Research Programme (TLRP). It was based at the Cardiff University School of Social Sciences. The purpose of the project was to support the research capacity building activities of TLRP and, where possible, to extend these to the wider educational research community. In particular, the RCBN was established to facilitate the sharing of research skills, knowledge and expertise among social scientists, to assist the professional career development of individual researchers, and thereby to support the development of expertise in the United Kingdom field of education research.

The project activities were focused around three core elements: a review of the research resources available within the TLRP and beyond, and identification of opportunities for adding value and collaboration; support for research capacity building activities and training within the TLRP; and dissemination and training targeted at the wider research community.

The first stage of the work was to undertake an extensive consultation exercise to identify priorities for research capacity-building and to generate a database of expertise from across the UK educational research community. The consultation included interviews with 24 key stakeholders, representing many constituencies of the education system, and a consultation survey, undertaken to ascertain the methodological training needs of educational researchers. Over five hundred responses to the consultation survey, were received from members of the TLRP, BERA, LSRN, and many other educational researchers.

Main Topics:

The database contains information on the background characteristics of respondents (e.g. gender, age, number of years as a researcher, current institution of employment) and their training needs and current levels of expertise in a range of methodological skills, from the collection of primary data, the use of secondary data, and the analysis of quantitative and qualitative data.

The purpose of this dataset is to support further research into the feasibility of pediatric physiotherapy interventions by providing anonymized quantitative and qualitative data. The dataset includes questionnaire data, interview data, and demographic information collected from paediatric physiotherapists, parents, and children. It also contains tools used in the study, such as the code tree for qualitative analysis and the interview topic guide, as well as tables presenting the quantitative results. The scope of the dataset is to facilitate transparency and enable secondary analysis of quantitative (Dutch) data.

Morphogenetic events are driven by cell-generated physical forces and complex cellular dynamics. To improve our capacity to predict developmental effects from cellular alterations, we built a multi-cellular agent-based model in CompuCell3D that recapitulates the cellular networks and collective cell behavior underlying growth and fusion of the mammalian secondary palate. The model incorporated multiple signaling pathways (TGF?, BMP, FGF, EGF, SHH) in a biological framework to recapitulate morphogenetic events from palatal outgrowth through midline fusion. It effectively simulated higher-level phenotypes (e.g., midline contact, medial edge seam (MES) breakdown, mesenchymal confluence, fusion defects) in response to genetic or environmental perturbations. Perturbation analysis of various control features revealed model functionality with respect to cell signaling systems and feedback loops for growth and fusion, diverse individual cell behaviors and collective cellular behavior leading to physical contact and midline fusion, and quantitative analysis of the TGF/EGF switch that controls MES breakdown – a key event in morphogenetic fusion. The virtual palate model was then executed with theoretical chemical perturbation scenarios to simulate switch behavior leading to a disruption of fusion following chronic (e.g., dioxin) and acute (e.g., retinoic acid, hydrocortisone) toxicant exposures. This computer model adds to similar systems models toward a ‘virtual embryo’ for simulation and quantitative prediction of adverse developmental outcomes following genetic perturbation and/or environmental. This dataset is associated with the following publication: Hutson, S., M. Leung, N. Baker, R. Spencer, and T. Knudsen. (CHEMICAL RESEARCH IN TOXICOLOGY) Computational Model of Secondary Palate Fusion and Disruption. CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 30(4): 965-979, (2017).

Background: The concept of sustainable spatial planning can solve the limited land area of ​​DKI Jakarta Province. The increasing amount of waste generation in DKI Jakarta Province and the increasing population will cause the Bantargebang TPST's capacity to be insufficient soon. This research aims to analyze the amount of waste generation in DKI Jakarta Province. Method: The quantitative research approach uses mixed methods, including literature review and descriptive and spatial statistics. The data is secondary data from the Environmental and Cleanliness Information System of the DKI Jakarta Province Environmental Service (SILIKA). Findings: The results show the distribution of waste generation, presented in the form of a GIS (Geographic Information System) map. The results of this research show that the increase in the population of DKI Jakarta Province impacts waste generation; waste generation in 2019 increased by 54% in 2021. Recapitulation of waste generation in DKI Jakarta Province in 2021 Measurement Period I, the highest in East Jakarta, 2247.39 tonnes, and the lowest in Central Jakarta, 787 tons of waste. Conclusions: The study highlights that population growth directly increases waste production, with East Jakarta producing the most waste in 2021. The study highlights the need for sustainable spatial planning to address land scarcity and waste management challenges in the region. Novelty/Originality of this Article: This study introduces a GIS-based spatial analysis of waste generation in DKI Jakarta, highlighting the direct impact of population growth on waste production and the urgent need for sustainable spatial planning to address land scarcity and waste management challenges.

市场规模和份额依据以下维度分类： Market Research Services (Primary Research, Secondary Research, Qualitative Research, Quantitative Research, Data Analysis) and Market Intelligence Reports (Industry Reports, Consumer Reports, Competitive Analysis, Technology Reports, Market Forecasts) and Consulting Services (Strategic Consulting, Operational Consulting, Financial Consulting, Marketing Consulting, Human Resource Consulting) and 地区（北美、欧洲、亚太、南美、中东和非洲）

Check out Market Research Intellect's Desktop Fish Scale Removing Machine Market, valued at USD 500 billion in 2024, with a projected growth to USD 750 billion by 2033 at a CAGR of 5.5% (2026-2033).