| 1. |
- Kanai, M, et al.
(author)
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- 2023
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swepub:Mat__t
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| 2. |
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| 3. |
- Solmi, M, et al.
(author)
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- 2022
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In: Journal of affective disorders. - : Elsevier BV. - 1573-2517 .- 0165-0327. ; 299, s. 367-376
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Journal article (peer-reviewed)
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| 4. |
- Wortel, Meike T., et al.
(author)
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Towards evolutionary predictions : current promises and challenges
- 2023
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In: Evolutionary Applications. - : John Wiley & Sons. - 1752-4571. ; 16:1, s. 3-21
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Research review (peer-reviewed)abstract
- Evolution has traditionally been a historical and descriptive science, and predicting future evolutionary processes has long been considered impossible. However, evolutionary predictions are increasingly being developed and used in medicine, agriculture, biotechnology and conservation biology. Evolutionary predictions may be used for different purposes, such as to prepare for the future, to try and change the course of evolution or to determine how well we understand evolutionary processes. Similarly, the exact aspect of the evolved population that we want to predict may also differ. For example, we could try to predict which genotype will dominate, the fitness of the population or the extinction probability of a population. In addition, there are many uses of evolutionary predictions that may not always be recognized as such. The main goal of this review is to increase awareness of methods and data in different research fields by showing the breadth of situations in which evolutionary predictions are made. We describe how diverse evolutionary predictions share a common structure described by the predictive scope, time scale and precision. Then, by using examples ranging from SARS-CoV2 and influenza to CRISPR-based gene drives and sustainable product formation in biotechnology, we discuss the methods for predicting evolution, the factors that affect predictability and how predictions can be used to prevent evolution in undesirable directions or to promote beneficial evolution (i.e. evolutionary control). We hope that this review will stimulate collaboration between fields by establishing a common language for evolutionary predictions.
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| 5. |
- Okasha, A., et al.
(author)
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Acoustic response analysis of pipeline networks using two-ports
- 2013
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In: 42nd International Congress and Exposition on Noise Control Engineering 2013, INTER-NOISE 2013. - : OAL-Osterreichischer Arbeitsring fur Larmbekampfung. - 9781632662675 ; , s. 5857-5866
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Conference paper (peer-reviewed)abstract
- Sound generation and propagation inside pipeline networks has been of major concern in different applications. There is a need to solve performance problems caused by reciprocating equipment or flow generated noise sources in piping and pipeline systems. If the source pulsations coincide with one of the acoustic resonances in the system, high dynamic pressure amplitudes can be generated causing shaking forces at the pipe ends which excite mechanical vibrations and mechanical stress which might lead to fatigue and failure. In this paper, the two-port technique is used to describe the pipeline network where the network can be divided into elements; each is described by a transfer matrix. The compressors are modeled as one-ports described by source strength and source impedance. A pilot plant equipped with a reciprocating compressor was built, and the pressure pulsations were measured in different positions inside the network. The source characteristics of the compressor were measured using the multi-load technique which is commonly used to characterize the acoustics of internal combustion engines. The dynamic pressure was calculated inside the two-port network and compared to the measurements.
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