Dynamic Computational Models and Simulations of the Opioid Crisis: A Comprehensive Survey

2022 ◽  
Vol 3 (1) ◽  
pp. 1-25
Author(s):  
Narjes Shojaati ◽  
Nathaniel D. Osgood

Opioids have been shown to temporarily reduce the severity of pain when prescribed for medical purposes. However, opioid analgesics can also lead to severe adverse physical and psychological effects or even death through misuse, abuse, short- or long-term addiction, and one-time or recurrent overdose. Dynamic computational models and simulations can offer great potential to interpret the complex interaction of the drivers of the opioid crisis and assess intervention strategies. This study surveys existing studies of dynamic computational models and simulations addressing the opioid crisis and provides an overview of the state-of-the-art of dynamic computational models and simulations of the opioid crisis. This review gives a detailed analysis of existing modeling techniques, model conceptualization and formulation, and the policy interventions they suggest. It also explores the data sources they used and the study population they represented. Based on this analysis, direction and opportunities for future dynamic computational models for addressing the opioid crisis are suggested.

2021 ◽  
Vol 376 (1821) ◽  
pp. 20190765 ◽  
Author(s):  
Giovanni Pezzulo ◽  
Joshua LaPalme ◽  
Fallon Durant ◽  
Michael Levin

Nervous systems’ computational abilities are an evolutionary innovation, specializing and speed-optimizing ancient biophysical dynamics. Bioelectric signalling originated in cells' communication with the outside world and with each other, enabling cooperation towards adaptive construction and repair of multicellular bodies. Here, we review the emerging field of developmental bioelectricity, which links the field of basal cognition to state-of-the-art questions in regenerative medicine, synthetic bioengineering and even artificial intelligence. One of the predictions of this view is that regeneration and regulative development can restore correct large-scale anatomies from diverse starting states because, like the brain, they exploit bioelectric encoding of distributed goal states—in this case, pattern memories. We propose a new interpretation of recent stochastic regenerative phenotypes in planaria, by appealing to computational models of memory representation and processing in the brain. Moreover, we discuss novel findings showing that bioelectric changes induced in planaria can be stored in tissue for over a week, thus revealing that somatic bioelectric circuits in vivo can implement a long-term, re-writable memory medium. A consideration of the mechanisms, evolution and functionality of basal cognition makes novel predictions and provides an integrative perspective on the evolution, physiology and biomedicine of information processing in vivo . This article is part of the theme issue ‘Basal cognition: multicellularity, neurons and the cognitive lens’.


Author(s):  
Fatimah Mohammad Asiri

The study aimed to identify the influence of the financing structure on the return of the market share in Saudi corporations/companies. The study applied the descriptive-analytical approach, and the study population consisted of some joint-stock companies in the Saudi stock market, where the study sample consisted of (75) companies in five productive sectors where concentration was made on the following sectors: (basic materials, long-term commodities, energy, food production, capital goods). Method of the comprehensive survey was used for all companies. The data was analyzed using the Panel Data method through the STATA program. The study concluded several findings, the most important of which are that short-term debt (liabilities) have a negative impact on the return on the market share, as increasing short debts (liabilities) lead to a decrease in the return on the market share, and that long-term debt (liabilities) have no effect on the return on the market share, and equity has a negative impact on the return on the market share, as the increase in financing through equity leads to a decrease in the return on the market share. The study recommended the necessity of diversification between sources of financing and not limited to debt and long & short-term liabilities only. It also recommended conducting such a study on other sectors or conducting it on the whole market which may result in improving results, and also recommends expanding the time period more than five years, which may lead to improve results.


2022 ◽  
Vol 32 (1) ◽  
pp. 1-33
Author(s):  
Jinghui Zhong ◽  
Dongrui Li ◽  
Zhixing Huang ◽  
Chengyu Lu ◽  
Wentong Cai

Data-driven crowd modeling has now become a popular and effective approach for generating realistic crowd simulation and has been applied to a range of applications, such as anomaly detection and game design. In the past decades, a number of data-driven crowd modeling techniques have been proposed, providing many options for people to generate virtual crowd simulation. This article provides a comprehensive survey of these state-of-the-art data-driven modeling techniques. We first describe the commonly used datasets for crowd modeling. Then, we categorize and discuss the state-of-the-art data-driven crowd modeling methods. After that, data-driven crowd model validation techniques are discussed. Finally, six promising future research topics of data-driven crowd modeling are discussed.


2012 ◽  
Vol 204-208 ◽  
pp. 1980-1987 ◽  
Author(s):  
Guo Ping Bu ◽  
Jae Ho Lee ◽  
Hong Guan ◽  
Yew Chaye Loo ◽  
Michael Blumenstein

Currently, probabilistic deterioration modeling techniques have been employed in most state-of-the-art Bridge Management Systems (BMSs) to predict future bridge condition ratings. As confirmed by many researchers, the reliability of the probabilistic deterioration models rely heavily on the sufficient amount of condition data together with their well-distributed historical deterioration patterns over time. However, inspection records are usually insufficient in most bridge agencies. As a result, a typical standalone probabilistic model (e.g. state-based or time-based model) is not promising for forecasting a reliable bridge long-term performance. To minimise the shortcomings of lacking condition data, an integrated method using a combination of state- and time-based techniques has recently been developed and has demonstrated an improved performance as compared to the standalone techniques. However, certain shortcomings still remain in the integrated method which necessities further improvement. In this study, the core component of the state-based modeling is replaced by an Elman Neural Networks (ENN). The integrated method incorporated with ENN is more effective in predicting long-term bridge performance as compared to the typical deterioration modeling techniques. As part of comprehensive case studies, this paper presents the deterioration prediction of 52 bridge elements with material types of Steel (S), Timber (T) and Other (O). These elements are selected from 94 bridges (totaling 4,115 inspection records). The enhanced reliability of the proposed integrated method incorporating ENN is confirmed.


2018 ◽  
Vol 14 (12) ◽  
pp. 1915-1960 ◽  
Author(s):  
Rudolf Brázdil ◽  
Andrea Kiss ◽  
Jürg Luterbacher ◽  
David J. Nash ◽  
Ladislava Řezníčková

Abstract. The use of documentary evidence to investigate past climatic trends and events has become a recognised approach in recent decades. This contribution presents the state of the art in its application to droughts. The range of documentary evidence is very wide, including general annals, chronicles, memoirs and diaries kept by missionaries, travellers and those specifically interested in the weather; records kept by administrators tasked with keeping accounts and other financial and economic records; legal-administrative evidence; religious sources; letters; songs; newspapers and journals; pictographic evidence; chronograms; epigraphic evidence; early instrumental observations; society commentaries; and compilations and books. These are available from many parts of the world. This variety of documentary information is evaluated with respect to the reconstruction of hydroclimatic conditions (precipitation, drought frequency and drought indices). Documentary-based drought reconstructions are then addressed in terms of long-term spatio-temporal fluctuations, major drought events, relationships with external forcing and large-scale climate drivers, socio-economic impacts and human responses. Documentary-based drought series are also considered from the viewpoint of spatio-temporal variability for certain continents, and their employment together with hydroclimate reconstructions from other proxies (in particular tree rings) is discussed. Finally, conclusions are drawn, and challenges for the future use of documentary evidence in the study of droughts are presented.


2019 ◽  
Vol 316 (5) ◽  
pp. H1113-H1123 ◽  
Author(s):  
Sameed Ahmed ◽  
Rui Hu ◽  
Jessica Leete ◽  
Anita T. Layton

Sex differences in blood pressure and the prevalence of hypertension are found in humans and animal models. Moreover, there has been a recent explosion of data concerning sex differences in nitric oxide, the renin-angiotensin-aldosterone system, inflammation, and kidney function. These data have the potential to reveal the mechanisms underlying male-female differences in blood pressure control. To elucidate the interactions among the multitude of physiological processes involved, one may apply computational models. In this review, we describe published computational models that represent key players in blood pressure regulation, and highlight sex-specific models and their findings.


2021 ◽  
Vol 10 (8) ◽  
pp. 1584
Author(s):  
Małgorzata Chlabicz ◽  
Jacek Jamiołkowski ◽  
Wojciech Łaguna ◽  
Paweł Sowa ◽  
Marlena Paniczko ◽  
...  

Background: Cardiovascular disease (CVD) is a major, worldwide problem that remains the dominant cause of premature mortality in the world, and increasing rates of dysglycaemia are a major contributor to its development. The aim of this study was to investigate the cardiometabolic profile among patients in particular cardiovascular risk classes, and to estimate their long term CV risk. Methods: A total of 931 individuals aged 20–79 were included. The study population was divided into CV risk classes according to the latest European Society of Cardiology recommendations. Results: Most of the analyzed anthropometric, body composition and laboratory parameters did not differ between the moderate and high CV risk participants. Interestingly, estimating the lifetime risk of myocardial infarction, stroke or CV death, using the LIFEtime-perspective model for individualizing CardioVascular Disease prevention strategies in apparently healthy people, yielded similar results in moderate and high CV risk classes. Conclusion: The participants who belonged to moderate and high CV risk classes had very similar unfavorable cardiometabolic profiles, which may result in similar lifetime CV risk. This may imply the need for more aggressive pharmacological and non-pharmacological management of CV risk factors in the moderate CV risk population, who are often unaware of their situation. New prospective population studies are necessary to establish the true cardiovascular risk profiles in a changing society.


2020 ◽  
Vol 48 (4) ◽  
pp. 329-334
Author(s):  
Soo Jin Han ◽  
Seung Mi Lee ◽  
Sohee Oh ◽  
Subeen Hong ◽  
Jeong Won Oh ◽  
...  

AbstractBackgroundIn monochorionic twin pregnancy, placental anastomosis and inter-twin blood transfusion can result in specific complications, such as twin-twin transfusion syndrome (TTTS) and twin anemia-polycythemia sequence (TAPS). It is well established that adverse outcomes are increased in TTTS, but reports on the neonatal and long-term outcomes of TAPS are lacking. The objective of this study was to evaluate the neonatal and neurodevelopmental outcomes in spontaneous TAPS.MethodsThe study population consisted of monochorionic twin pregnancies with preterm birth (24–37 weeks of gestation) between November 2003 and December 2016 and in which cord blood was taken at the time of delivery. According to the result of hemoglobin in cord blood, the study population was divided into two groups: a spontaneous TAPS group and a control group. Neonatal and neurodevelopmental outcomes were compared between the two groups.ResultsDuring the study period, 11 cases were diagnosed as spontaneous TAPS (6.4%). The TAPS group had lower gestational age at delivery and had a higher risk for cesarean delivery. However, neonates with TAPS were not at an increased risk for neonatal mortality and significant neonatal morbidity. In addition, the frequency of severe cerebral lesion during the neonatal period and the risk of cerebral palsy at 2 years of age were not different between the two groups.ConclusionThe spontaneous TAPS diagnosed by postnatal diagnostic criteria was not associated with the increased risk of adverse neonatal and neurodevelopmental outcomes. Further studies are needed to evaluate the morbidity of antenatally diagnosed TAPS.


2021 ◽  
Vol 10 (Supplement_1) ◽  
Author(s):  
SR Thangasami ◽  
JS Prajapati ◽  
GL Dubey ◽  
VR Pandey ◽  
PM Shaniswara ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Advances in the immediate management of ST elevation myocardial infarction (STEMI) have led to a dramatic decline in mortality and reduction in hospital length of stay (LOS). We analysed the prognostic value of selected risk models in STEMI treated with primary percutaneous coronary intervention (PPCI) and to identify additional parameters to strengthen risk scores in categorizing patients for safe early discharge and to identify parameters prolonging hospital stay. Purpose To assess parameters and risk scores to categorize patients for safe early discharge following STEMI and to assess the composite of death, MI, unstable angina (UA), stroke, unplanned hospitalization at the end of 30 days, 6 months and at 1year follow up. Methods The study included 222 patients, who were diagnosed as STEMI, treated with successful pPCI. The risk scores like TIMI score, GRACE score, ZWOLLE score, CADILLAC score were calculated for all patients from the baseline clinical data collected on admission. Routine blood investigations along with Brain natri-uretic peptide (BNP) were done for all patients. The entire cohort was divided into three groups on the basis of length of stay: ≤3 days (n = 150), 4–5 days (n = 47), and >5 days (n = 25). All-cause mortality and major cardiovascular events (MACEs) were assessed up to 1 year. Results The mean age group (yrs) of the study population was 53.92 ± 12.9. Patients in LOS <3 days had a mean age (yrs) of 52.41 ± 11.74, patients in LOS 4-5 days group had 54.19 ±13.59 and patient with LOS >5 days had 62.52 ± 15.32. The most important parameters that predicted hospital stay in our study are BNP levels OR: 1.003, 95% CI: 1.002-1.004, P < 0.001, GRACE score OR: 1.02 ,95% CI: 1.01-1.03, P < 0.001, TIMI score OR: 1.35, 95% CI: 1.18-1.55, P = 0.007, ZWOLLE score OR: 1.26, 95% CI: 1.16-1.37, P < 0.001, CADILLAC score OR: 1.24, 95% CI; 1.15-1.3: P < 0.001. 32 (14.4%) patients expired in the study population. 36% patients of LOS >5 days expired in 1year follow up with maximum mortality in the first 6 months. 56% of the patients in LOS > 5 days had an adverse cardiac event in 1 year follow up. Patients in LOS >5 days had increased event rates in 30 days,6 months and in 1 year follow up. Patients with LOS 4-5 days (30%) had increased event rates than patients in LOS < 3 days (19%).Unadjusted Kaplan Meir survival curves for 1 year mortality among hospital survivors showed a significant increase in mortality at 6 months in length of stay> 5 days group. (P value < 0.001). CONCLUSION Long hospital stay after PCI among patients with STEMI was associated with increased long-term all-cause mortality. Addition of BNP to this risk scores can better predict the course of hospital stay and adverse clinical outcomes in follow up. Long hospital stay may be used as a marker to identify patients at higher risk for long-term mortality. Abstract Figure. Kaplan meir survival curve


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