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Cementkötőanyagú építőanyaggyártás önköltségszámításának trilemmája a költségek, a minőség és a fenntarthatóság szemszögéből
Az űrhajózás munkaegészségügyi és munkabiztonsági kihívásai. Kockázatok, ártalomcsökkentés és megelőzés
Conditional Molecule Generation with 2D Latent Diffusion
Diffusion-based generative deep neural networks have achieved excellent results in sound and image generation, with promising applications in various fields, including drug discovery. In addition to already existing 3D approaches, we propose a new method, MoLD (Molecular Latent Diffusion) that utilizes 2D latent diffusion to achieve both unconditional and conditional molecule generation. With both sampling methods, the model is able to create numerous novel and valid molecules not present in the training dataset. Furthermore, comparing the distribution of unconditionally and conditionally sampled molecules based on the control property indicates that the diffusion model effectively influences the molecule formation process. The effectiveness of our approach demonstrates that the conditional molecule generation process can be modularly modified by substituting or retraining only the diffusion network responsible for conditioning. This modification can be achieved without restructuring the latent space, leaving the possibility for further research open
Probabilistic Cost Estimation for Major Construction Projects in Infrastructure
In 2024, multiple tenders for infrastructure projects using Integrated Project Delivery (IPD) are issued. These models have recently been introduced in Germany and Austria. They aim to reduce cost and schedule overruns on major projects. IPD uses criteria such as partnership-based project management which is based on a collaborative culture to select a contractor. Contract models, such as cost reimbursement with bonus/malus mechanisms, are used to further reduce the impact of price. However, traditional calculation is not suitable for new remuneration models as it tends to hide extra profits. It is therefore not transparent enough for the successful implementation of IPD