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Clause 8 is about time; the time period for the performance of the Works (the beginning and the end), management of the Programme, the Contractor’s right to Extension of Time and the Employer’s right to suspend progress of the Works. Once the Works have been completed, Clause 9 [Tests on Completion] deals with the testing at completion and Clause 10 [Employer’s Taking Over] deals with the mechanics for the Employer’s Taking Over of the Works. Clause 11 [Defects after Taking Over] deals with defects after the Employer’s Taking Over. See also Figure 8.

With increasing demand to enhance collaborative practices in Degree Apprenticeship (DA) programmes like Quantity Surveying Degree Apprenticeships (QSDA), there is a notable lack of models supporting employer engagement, particularly in curriculum design and delivery. This study aims to fill this gap.

A qualitative research approach was employed, utilising semi-structured interviews, focus groups and questionnaires to gather stakeholder perspectives involved in QSDA programmes in England. This process aimed to identify key practice areas, collaboration process and enablers needed to conceptualise a collaborative model for employer engagement in QSDA curriculum design and delivery.

The model highlights four collaborative stages, four practice areas, fourteen focus actions, and twelve enablers essential for provider-employer collaborations in QSDA curriculum design and delivery.

This study introduces a novel curriculum design model emphasising the collaboration process and enablers for provider-employer engagement. It offers new insights for QSDA programme curriculum development and is the first to address this area, contributing to the literature on Degree Apprenticeships in built environment education.

We investigate whether women are more likely than men to choose to pursue a competency-based labour market integration programme, rather than the time-based labour market integration programme. We further investigate whether women with existing but uncertified skills are even more likely to pursue a competency-based labour market integration programme.

We test our hypotheses using ordinary least squares applied to linear probability models. We discuss the relative advantages of this methodology. We show the robustness of our results through multiple specifications and estimation methods. Finally, we discuss the reasons preventing us from granting our results a causal interpretation and discuss how they are surmountable in future research.

Women are significantly more likely to enrol into competency-based programmes, relative to time-based. Women with existing but uncertified skills are significantly more likely to enrol into competency-based programmes, whereas women without skills or with college degrees are not significantly different from the baseline. Our findings are robust to various specifications, and we include a comprehensive set of fixed-effect vectors, addressing industrial, occupational and time-varying state specificities.

First, our empirical test of hypothesis H2 is hindered by the construction of the “some college or associate’s degree” variable in RAPIDS data. “Some college” is very different from an associate’s degree. Second we had to choose between omitted variable bias and selection bias. Because of the demonstrated importance of the occupation and industry variables in existing literature, we included those variables at the risk of selection bias. Occupation and industry fixed effects reduce, but do not eliminate, omitted variable bias. Finally, the third limitation of this paper is external validity. Registered Apprenticeship programmes are quite idiosyncratic to the United States.

The rollout and expansion of CBRA may thus be an avenue through policymakers may reduce the gender training gap. This may in turn give more women access to the labour market and allow more women to benefit from the “wage premia” of Registered Apprenticeship completion on the labour market (Lou and Hawley, 2019).

This article is the first that applies econometric methods to investigate women’s choices of labour market integration programmes, using Registered Apprenticeship as a case study. We discuss the implications of our findings, highlighting how competency-based programmes may be an approach to better serving more diverse populations in Registered Apprenticeship.

Interdisciplinary PhD programs can be challenging as the vital information needed by students may not be readily available; it is scattered across the university’s websites, while tacit knowledge can be obtained only by interacting with people. Hence, there is a need to develop a knowledge management model to create, query and maintain a knowledge repository for interdisciplinary students. This study aims to propose a knowledge graph containing information on critical categories (faculty, classes, dissertations, etc.) and their relationships, extracted from multiple sources, essential for interdisciplinary PhD students. This study evaluates the usability of a participatory-designed knowledge graph intended to facilitate information exchange and decision-making.

The authors used data from multiple sources (such as university websites, faculty profiles, publication and dissertation metadata and crowdsourced data) to generate a knowledge graph in the Neo4J Bloom platform. The authors recruited 15 interdisciplinary PhD students using convenience sampling from the University of Hawaiʻi at Mānoa at various PhD stages to design and populate the knowledge graph. Next, the authors conducted a mixed methods study to perform its usability evaluation. First, the authors engaged the students in a participatory design workshop to identify relevant graph queries. Second, the authors conducted semi-structured interviews to determine the usability of the knowledge graph and rate the queries. Each interview was coded with structural and thematic codes and was further analyzed using sentiment analysis in R programming language.

The usability findings demonstrate that interaction with this knowledge graph benefits PhD students by notably reducing uncertainty and academic stress, particularly among newcomers. Knowledge graph supported them in decision-making, especially when choosing collaborators (e.g. supervisor or dissertation committee members) in an interdisciplinary setting. Key helpful features are related to exploring student–faculty networks, milestones tracking, rapid access to aggregated data and insights into crowdsourced fellow students’ activities. However, they showed concerns about crowdsourced data privacy and accessibility. Although participants expressed the need for more qualitative data in the graph, they noted it helped identify people to talk to about the topics of their interest.

The knowledge graph provides a solution to meet the personalized needs of doctoral researchers and has the potential to improve the information discovery and decision-making process substantially. It also includes the tacit knowledge exchange support missing from most current approaches, which is critical for this population and establishing interdisciplinary collaborations. This approach can be applied to other interdisciplinary programs and domains globally.

This study set out to investigate PhD students’ perceptions of the criteria for showcasing English proficiency as part of the requirements for completing PhD programs in Iranian universities. The criteria included The Ministry of Science, Research, and Technology (MSRT) test, an English for Academic Purposes (EAP) program, achieving the minimum score on the English section of the doctoral entrance exam, and gaining approval from supervisors regarding students’ proficiency.

Qualitative data were collected by conducting interviews with 19 PhD students as well as a corpus of 325 students’ commentaries posted on an online forum. The data were then analyzed using the constant comparison method (Creswell, 2013).

Students held mixed feelings in relation to the new completion requirements and in particular, the MSRT test. However, they advocated egalitarian, objective, and need-responsive measures, which were better mirrored in the EAP program.

The findings were discussed with reference to the predictive validity, authenticity, and construct relevance of the MSRT test and the EAP program. Despite the absence of quantitative data on the comparability of high-stakes tests and the EAP program, the study offers implications for testing agencies, academic institutions, and tertiary students.

A multitude of PhD students and candidates are affected by the results of the new policy. Accordingly, gaining a better understanding of students’ perceptions may assist policymakers in reconsidering their policies, if necessary.

The Farm Service Agency (FSA) conservation loan program was introduced in the 2008 Farm Bill to provide additional credit to assist producers implementing approved Natural Resources Conservation Service (NRCS) conservation projects. This paper explores why this program has been widely underutilized despite an overall increase in United States Department of Agriculture (USDA) Conservation Program participation.

The FSA administrative loan data are merged with NRCS program participation and payments data for 2010–2021. The share of project costs paid by producers and resulting savings achieved by farmers participating in both programs if their cost-share portion was paid by FSA loans are estimated, as well as the impact on farmer conservation spending under different estimates of increased participation.

A significant share of FSA farmers are likely to take advantage of NRCS programs, with the majority of participants paying under $25,000 in cost-share portions. These loans are less suited to guaranteed conservation loans and more appropriate for the discontinued direct conservation loan program. Few FSA borrowers participating in NRCS cost-share programs pay more than $50,000 in cost-share portions. These loans would receive the majority of benefits from interest reduction schemes under the current guaranteed loan program.

Our results and suggestions provide valuable information when discussing the Guaranteed Conservation Loan Program in the 2023 Farm Bill legislation.

No prior research has attempted to merge FSA guaranteed or direct loan data with conservation program participation and payment data, focused on producer cost-share levels or the FSA Guaranteed Conservation Loan Program in the last decade, making this study a valuable contribution to the literature.

The aim of this paper is to enhance the control performance of dexterous hands, enabling them to handle the high data flow from multiple sensors and to meet the deployment requirements of deep learning methods on dexterous hands.

A distributed control architecture was designed, comprising embedded motion control subsystems and a host control subsystem built on ROS. The design of embedded controller state machines and clock synchronization algorithms ensured the stable operation of the entire distributed control system.

Experiments demonstrate that the entire system can operate stably at 1KHz. Additionally, the host can accomplish learning-based estimates of contact position and force.

This distributed architecture provides foundational support for the large-scale application of machine learning algorithms on dexterous hands. Dexterity hands utilizing this architecture can be easily integrated with robotic arms.

This chapter analyses the structure, content and development trends of the system of postgraduate teacher training in Russia. It is shown that the system of postgraduate training in Russia has a long history and consists of postgraduate and doctoral levels. The trends that influenced the dynamics and essence of the modernisation processes of Russian postgraduate education are revealed. The content, logic and shortcomings of the not quite successful attempt to standardise the process of training higher-qualified personnel in postgraduate studies are substantiated. Changes in the nomenclature of scientific specialties, which are used to award academic degrees in pedagogy, are revealed.

The main part of the material is devoted to the general characteristics of the current pedagogical postgraduate programmes in Russia. It describes the peculiarities of the admission procedure and the organisation of training for graduate students, the nuances of the choice of supervisor, the definition of the thesis topic, and the current, intermediate, and final certification of graduate students. The essence of co-doctoral studies as a form of dissertation preparation is revealed. The requirements for the preparation, design and defence of candidate dissertations in pedagogy are outlined. The form of advanced training of scientific and pedagogical staff for the preparation of doctoral dissertations is briefly described.

Architectural programming, as a critical phase in construction projects, has been widely recognized for its importance and advantages throughout the construction process. With the rapid development of the socioeconomic landscape, architectural programming has garnered increasing attention from various other disciplines, becoming a key trend in interdisciplinary collaboration. This study aims to provide a comprehensive understanding of the current status and future directions of architectural programming from an interdisciplinary perspective through scientometric analysis and systematic review.

This study first collected English journal articles on architectural programming published between 1975 and 2024 from the Web of Science and Scopus databases. After an initial screening of titles and abstracts, 515 articles were selected for scientometric analysis to reveal the current state and advantages of architectural programming research in multidisciplinary fields. Subsequently, a second screening of full-text articles identified 75 journal articles for systematic review, focusing on research topics and challenges in interdisciplinary applications.

The study reveals an exponential increase in the number of papers related to architectural programming between 1975 and 2024, particularly in the last decade. Six key research topics of architectural programming in multidisciplinary fields were identified: (1) performance optimization and evaluation, (2) digitalization and automation development, (3) project management and decision support, (4) improvement of human and social welfare, (5) sustainable resources and environment and (6) educational practices of architectural programming. Additionally, the study identified the main challenges in the interdisciplinary application of architectural programming, including (1) incompatibility among disciplines, (2) limitations of data and methodologies and (3) insufficient social engagement. To address these challenges, three potential future directions were proposed: (1) establishing interdisciplinary teams and platforms, (2) enhancing multi-source data integration and digital transformation and (3) improving governance mechanisms and educational training.

By combining quantitative and qualitative methods, this study provides a comprehensive review of architectural programming research and applications in multidisciplinary fields, offering theoretical foundations and practical references for the future development of architectural programming. This review not only aids in understanding the overall status of current architectural programming research but also offers valuable insights and recommendations for future research directions and practical applications.

The system of higher education in the Russian Federation due to the high share of fundamental training is focused on ensuring the foundation of permanent stability of the graduate, while the system of additional professional education is obliged to take into account the current state of the educational services market, which is characterised by globalisation, diversification, digitalisation and international integration. Therefore, the main focus of the modern system of additional professional education of teachers is the creation of favourable organisational, content, procedural and other conditions that contribute to the professional development and creative self-realisation of teachers, taking into account their individual needs and abilities. In this section, based on the analysis of normative documents and innovative experience of professional development and retraining of education specialists, the goals and objectives, structure and content, main development trends and modern training technologies, features of the internal system of quality assessment of additional professional education of teachers in Russia are disclosed.