The building of a concrete overlay on a two-lane rural roadway presents certain unique problems; nevertheless, with proper planning, these obstacles may be overcome to the satisfaction of both the contractors and the affected populace.
In order to create future abilities, this study analyzed which elements of Education 4.0 are being employed in 21st century frameworks and which teaching and learning approach works best. The findings show that: (a) case studies and teaching and learning strategies are highlighted in the literature on frameworks; (b) comprehensive studies have been conducted on the skills and knowledge learning dimensions, and there is room for further research on the development of character and meta-learning skills; (c) the most popular teaching and learning strategies are those that set the trends for educational innovation; (d) learning methods and competencies are the most frequently addressed components of Education 4.0; and (e) there is a noticeable lack of frameworks targeted at teachers and managers and strategies to strengthen educational innovation in schools.
Geat artical showing different elements and how to utilize them in healthcare. It also offers practical suggestions for developing an AI strategy to assist the digital healthcare transition.
Cooperative AI Research Grants
The Cooperative AI Foundation is seeking proposals for research projects in Cooperative AI. Anyone is eligible to apply, and we welcome applications from disciplines outside of computer science. This call will remain continuously open throughout 2024, and will have four deadlines after which applications will be processed: January 14, March 17, July 28, and October 13.
Check the application process here https://www.cooperativeai.com/grants/cooperative-ai
Ph.D. positions at Chalmers University of Technology.
These positions span various domains, including Distributed Systems, Security, AI, and more.
I am particularly excited to bring to your attention a project on the intersection of the areas of Distributed Computing, Machine Learning, and Cyber-Security. The project focuses on the automation of road accident forensics (project code CNS01 by Elad Schiller).
Applications are open until April 15, 2024, and you can apply through the following link: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=12588&rmlang=UK
Latest publication in this journal on Dinocephalosaurus orientalis Li, 2003: a remarkable marine archosauromorph from the Middle Triassic of southwestern China.
https://www.cambridge.org/core/journals/earth-and-environmental-science-transactions-of-royal-society-of-edinburgh/article/dinocephalosaurus-orientalis-li-2003-a-remarkable-marine-archosauromorph-from-the-middle-triassic-of-southwestern-china/C7D48539139475EFCAAC35342089ACB8
Life experiences that differed considerably between cases and controls included large events (the death of a close family member) that cannot be forgotten, as well as little events (sleeping habits), demonstrating that even minor events can be remembered by the patient if they are deemed relevant. A forgotten event indicates that it was not significant for the patient, and its psychological influence should be limited. In conclusion, patients with major stressful life events are at increased risk of rheumatoid arthritis onset within a year.
In this paper, the authors investigate how well a group of heat pumps for 135 households can be controlled to minimize peaks within the electricity distribution network by two direct control methods. The significance of this research is that this type of control enables the integration of renewable energy within a microelectricity grid. Without this control, power consumption peaks would occur frequently, resulting in higher investments needed for network strengthening.
Authors have developed a stochastic optimal control framework to address an important class of economic problems where there are discontinuities, and a decision maker can undertake impulse controls in response to unexpected disturbances. Our contribution is two-fold: (1) to develop a linear programming algorithm that produces a consistent approximation of the maximum value and optimal policy functions in the context of stochastic impulse controls; and (2) to illustrate the economic benefits of impulse controls optimized, using our framework, and calibrated to the population dynamics of a marine fishery. We Contend that the framework has wide applicability and offers the possibility of higher economic pay-off for a wide range of policy problems in the presence of discontinuities and adverse shocks.
A PhD course at the University of Oslo in June, which I believe might be of interest to your students. The course is called Organizational Foundations of Inequality and includes lectures by Trond Petersen, Roberto Fernandez and Don Tomaskovic-Devey.
This PhD course will provide students with a broad introduction to key theories, concepts, and methodological issues related to the empirical study of the organizational foundations of inequality.
Learning outcome
new and foundational theories about organizational inequality
key conceptual frameworks in research on organizational inequality
how to integrate a focus on organizational inequality in empirical research
the relationship between social policy and measures to reduce employer bias and foster organizational diversity and equality
Key info here: https://www.uio.no/studier/emner/sv/iss/SOS9237/.
The deadline for registration is April 21st.
Call for Papers 2024 1st International Conference on Digital Technologies and Sustainability Accounting (ICDSA) (ICDSA 2024), August 7th - 8th 2024, Yogyakarta, Indonesia. Universitas Muhammadiyah Yogyakarta would like to invite you to register and submit your best paper to https://edas.info/N31982
Theme: “The Impact of Digital Technologies on Business Information and Sustainability”
SCOPE: Digital Technology for Sustainable Finance, Accounting for Renewable Energy Investment, Green Accounting in Sustainable Environment, Technological Innovation for Sustainability.
Publication Conference Proceedings (SCOPUS)
Deadline Full paper Submission: 29th February 2024
Most justifications clinicians entered across three separate clinical content areas fit within a small number of themes, and these common rationales may aid in the design of effective accountable justification interventions. Justifications varied in terms of level of clinical detail. On their own, most justifications did not clearly represent appropriate clinical decision making.
Authors introduce a modular approach to dosage form design, and in this report we apply the approach toward obtaining dosage forms carrying a weakly basic API. The dosage forms obtained exhibit pH-independent API release. The dosage form assemblies of this study consist of prefabricated modules, each carrying either the API or the pH-modifying excipient, such that the API and excipient are in close proximity in the dosage form but remain separate from, i.e., not blended with, each other throughout.
The design and implementation of a programming environment, including an editor, a debugger and an interpreter engine for Lograph, a general-purpose visual logic programming language, is discussed. The rationale for user-interface design decisions is presented, the goal of which is to increase cognitive support for the creation, exploration and debugging of Lograph programs. The design of the interpreter engine allows for animation of execution in the debugger. The engine takes full advantage of an efficient implementation of Prolog and operates on a Prolog translation of Lograph programs and queries. The translated Lograph programs are probed with instrumentation code at appropriate places so that applications of Lograph rules are reported to the visual interface of the Lograph debugger as a side effect of the program's execution.
This study adopts the method of cross-disciplinary research, sketching the jewellery, analyzing from the point line surface perspective to construct the 3D model of jewellery, then colouring the 3D model of jewellery through Photoshop, more realistic aesthetics, optimizing the details of the 3D model according to the formula, establishing the mapping function to input into the python custom module, establishing the mapping relationship between semantic evaluation and design parameters By applying the genetic algorithm, it solves the complex design problems that cannot be dealt with by human enumeration scheme, and provides the optimal scheme and optimization direction for the design based on a large amount of operation, integrating the methods of design, art theory, software programming and other By integrating different disciplinary approaches, the objective and rigour of the design process are improved based on the relatively subjective nature of art and design.
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