| 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. |
- Allgulander, C, et al.
(author)
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WCA recommendations for the long-term treatment of generalized anxiety disorder
- 2003
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In: CNS spectrums. - : Cambridge University Press (CUP). - 1092-8529 .- 2165-6509. ; 8:88 Suppl 1, s. 53-61
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Journal article (peer-reviewed)abstract
- What are the current recommendations for the long-term treatment of generalized anxiety disorder (GAD)? GAD is a common disorder with a lifetime prevalence of 4% to 7% in the general population. GAD is characterized by excessive, uncontrollable worry or anxiety about a number of events or activities that the individual experiences on more days than not over a 6-month period. Onset of GAD symptoms usually occurs during an individual's early twenties; however, high rates of GAD have also been seen in children and adolescents. The clinical course of GAD is often chronic, with 40% of patients reporting illness lasting >5 years. GAD is associated with pronounced functional impairment, resulting in decreased vocational function and reduced quality of life. Patients with GAD tend to be high users of outpatient medical care, which contributes significantly to healtcare costs. Currently, benzodiazepines and buspirone are prescribed frequently to treat GAD. Although both show efficacy in acute treatment trials, few long-term studies have been perform Benzodiazepines are not recommended for long-term treatment of GAD, due to associated development of tolerance, psychomotor impairment, cognitive and memory changes, physical dependence, and a withdrawal reaction on discontinuation. The antidepressant venlafaxine extended-release (XR) has received approval for the treatment of GAD in the United States and many other countries. Venlafaxine XR has demonstrated efficacy over placebo in two randomized treatment trials of 6 months' duration as well as in other acute trials. Paroxetine is the first of the selective serotonin reuptake inhibitors (SSRIs) to receive US approval for the treatment of GAD. Paroxetine demonstrated superiority to placebo in short-term trials, and investigations into the use of other SSRIs are ongoing. This suggests that other SSRIs, and serotonin and noradrenaline reuptake inhibitors, are likely to be effective in the treatment of GAD. Of the psychological therapies, cognitive-behavioral therapy (CBT) shows the greatest benefit in treating GAD patients. Treatment gains after a 12-week course of CBT may be maintained for up to 1 year. Currently, no guidelines exist for the long-term treatment of GAD.
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| 6. |
- 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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| 7. |
- Solmi, Marco, et al.
(author)
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Physical and mental health impact of COVID-19 on children, adolescents, and their families :
- 2022
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In: Journal of Affective Disorders. - : Elsevier. - 0165-0327 .- 1573-2517. ; 299, s. 367-376
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Journal article (peer-reviewed)abstract
- Background: The COVID-19 pandemic has altered daily routines and family functioning, led to closing schools, and dramatically limited social interactions worldwide. Measuring its impact on mental health of vulnerable children and adolescents is crucial. Methods: The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT - www. coh-fit.com) is an on-line anonymous survey, available in 30 languages, involving >230 investigators from 49 countries supported by national/international professional associations. COH-FIT has thee waves (until the pandemic is declared over by the WHO, and 6-18 months plus 24-36 months after its end). In addition to adults, COH-FIT also includes adolescents (age 14-17 years), and children (age 6-13 years), recruited via nonprobability/snowball and representative sampling and assessed via self-rating and parental rating. Nonmodifiable/modifiable risk factors/treatment targets to inform prevention/intervention programs to promote health and prevent mental and physical illness in children and adolescents will be generated by COH-FIT. Co primary outcomes are changes in well-being (WHO-5) and a composite psychopathology P-Score. Multiple behavioral, family, coping strategy and service utilization factors are also assessed, including functioning and quality of life. Results: Up to June 2021, over 13,000 children and adolescents from 59 countries have participated in the COHFIT project, with representative samples from eleven countries. Limitations: Cross-sectional and anonymous design. Conclusions: Evidence generated by COH-FIT will provide an international estimate of the COVID-19 effect on childrens, adolescents and families, mental and physical health, well-being, functioning and quality of life, informing the formulation of present and future evidence-based interventions and policies to minimize adverse effects of the present and future pandemics on youth.
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| 8. |
- Solmi, Marco, et al.
(author)
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The collaborative outcomes study on health and functioning during infection times in adults (COH-FIT-Adults) : Design and methods of an international online survey targeting physical and mental health effects of the COVID-19 pandemic
- 2022
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In: Journal of Affective Disorders. - : Elsevier. - 0165-0327 .- 1573-2517. ; 299, s. 393-407
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Journal article (peer-reviewed)abstract
- Background: . High-quality comprehensive data on short-/long-term physical/mental health effects of the COVID-19 pandemic are needed. Methods: . The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) is an international, multi-language (n=30) project involving >230 investigators from 49 countries/territories/regions, endorsed by national/international professional associations. COH-FIT is a multi-wave, on-line anonymous, cross-sectional survey [wave 1: 04/2020 until the end of the pandemic, 12 months waves 2/3 starting 6/24 months threreafter] for adults, adolescents (14-17), and children (6-13), utilizing non-probability/snowball and representative sampling. COH-FIT aims to identify non-modifiable/modifiable risk factors/treatment targets to inform prevention/intervention programs to improve social/health outcomes in the general population/vulnerable subgrous during/after COVID-19. In adults, co-primary outcomes are change from pre-COVID-19 to intra-COVID-19 in well-being (WHO-5) and a composite psychopathology P-Score. Key secondary outcomes are a P-extended score, global mental and physical health. Secondary outcomes include health-service utilization/ functioning, treatment adherence, functioning, symptoms/behaviors/emotions, substance use, violence, among others. Results: . Starting 04/26/2020, up to 14/07/2021 >151,000 people from 155 countries/territories/regions and six continents have participated. Representative samples of >= 1,000 adults have been collected in 15 countries. Overall, 43.0% had prior physical disorders, 16.3% had prior mental disorders, 26.5% were health care workers, 8.2% were aged >= 65 years, 19.3% were exposed to someone infected with COVID-19, 76.1% had been in quarantine, and 2.1% had been COVID 19-positive. Limitations: . Cross-sectional survey, preponderance of non-representative participants. Conclusions: . Results from COH-FIT will comprehensively quantify the impact of COVID-19, seeking to identify high-risk groups in need for acute and long-term intervention, and inform evidence-based health policies/strategies during this/future pandemics.
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| 9. |
- Solmi, Marco, et al.
(author)
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Validation of the Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) questionnaire for adults
- 2023
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In: Journal of Affective Disorders. - : ELSEVIER. - 0165-0327 .- 1573-2517. ; 326, s. 249-261
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Journal article (peer-reviewed)abstract
- Background: The Collaborative Outcome study on Health and Functioning during Infection Times (COH-FIT; www.coh-fit.com) is an anonymous and global online survey measuring health and functioning during the COVID-19 pandemic. The aim of this study was to test concurrently the validity of COH-FIT items and the in-ternal validity of the co-primary outcome, a composite psychopathology "P-score". Methods: The COH-FIT survey has been translated into 30 languages (two blind forward-translations, consensus, one independent English back-translation, final harmonization). To measure mental health, 1-4 items ("COH-FIT items") were extracted from validated questionnaires (e.g. Patient Health Questionnaire 9). COH-FIT items measured anxiety, depressive, post-traumatic, obsessive-compulsive, bipolar and psychotic symptoms, as well as stress, sleep and concentration. COH-FIT Items which correlated r >= 0.5 with validated companion question-naires, were initially retained. A P-score factor structure was then identified from these items using exploratory factor analysis (EFA) and confirmatory factor analyses (CFA) on data split into training and validation sets. Consistency of results across languages, gender and age was assessed. Results: From >150,000 adult responses by May 6th, 2022, a subset of 22,456 completed both COH-FIT items and validated questionnaires. Concurrent validity was consistently demonstrated across different languages for COH-FIT items. CFA confirmed EFA results of five first-order factors (anxiety, depression, post-traumatic, psychotic, psychophysiologic symptoms) and revealed a single second-order factor P-score, with high internal reliability (omega = 0.95). Factor structure was consistent across age and sex. Conclusions: COH-FIT is a valid instrument to globally measure mental health during infection times. The P-score is a valid measure of multidimensional mental health.
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