scholarly journals Worden’s Task-Based Model for Treating Persistent Complex Bereavement Disorder During the Coronavirus Disease-19 Pandemic: A Narrative Review

2020 ◽  
Vol 8 (T1) ◽  
pp. 553-559
Author(s):  
Mohsen Khosravi
Keyword(s):  
High Speed ◽  
Case Fatality ◽  
Global Scale ◽  
Narrative Review ◽  
Cochrane Library ◽  
Anticipatory Grief ◽  
Wide Range ◽  
Considerable Impact ◽  
Persistent Complex Bereavement ◽  
Persistent Complex Bereavement Disorder

BACKGROUND: A wide range of studies has shown that the coronavirus disease (COVID)-2019 pandemic could cause many deaths on the global scale by the end of 2020 because of the high speed of transmission and predicted case-fatality rates. AIM: This paper is a narrative review aiming to address the treatment of persistent complex bereavement disorder (PCBD) during the COVID-19 crisis using Worden’s task-based model. MATERIALS AND METHODS: Related papers published from 2000 to 2020 were searched in the EMBASE, PubMed, Web of Science, Scopus, Cochrane Library, and Google Scholar databases. Bereavement, COVID-19, pandemics, and Worden’s task-based model constituted the search terms. A narrative technique was implemented (including reading, writing, thinking, interpreting, arguing, and justifying) for material synthesis and creating a compelling and cohesive story. RESULTS: A few studies have specifically addressed the grief experiences within the COVID-19 crisis. They managed to identify some potential obstacles to grieving during the pandemic, namely, “anticipatory grief” and “multiple losses.” This study tried to use Worden’s task-based model to address the treatment of PCBD during the pandemic. CONCLUSIONS: Despite the paucity of information, Worden’s task-based model seems to have a considerable impact on the reduction of the PCBD symptoms. Nonetheless, further research is needed to perceive the effect of this approach on PCBD during the COVID-19 pandemic.

scholarly journals Early Detection of Sepsis Using Artificial Intelligence: A Scoping Review Protocol

2020 ◽  
Author(s):  
Stefan Candefjord ◽  
Ivana Pepic ◽  
Robert Feldt ◽  
Lars Ljungström ◽  
Richard Torkar ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Early Detection ◽  
Scoping Review ◽  
Web Search ◽  
Scientific Journal ◽  
Case Fatality ◽  
Cochrane Library ◽  
Suspected Sepsis ◽  
Wide Range

Abstract Background: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. To decrease the high case fatality rates and morbidity for sepsis and septic shock, there is a need to increase the accuracy of early detection of suspected sepsis in prehospital and emergency department settings. This may be achieved by developing risk prediction decision support systems based on artificial intelligence. Methods: The overall aim of this scoping review is to summarize the literature on existing methods for early detection of sepsis using artificial intelligence. The review will be performed using the framework formulated by Arksey and O’Malley and further developed by Levac and colleagues. To identify primary studies and reviews that are suitable to answer our research questions, a comprehensive literature collection will be compiled by searching several sources. Databases/web search engines that will be used are PubMed, Web of Science, Scopus, IEEE Xplore, Google Scholar, Cochrane Library and ACM Digital Library. Furthermore, clinical studies that have completed patient recruitment and reported results found in the database ClinicalTrials.gov will be considered. The term artificial intelligence is viewed broadly and a wide range of machine learning and mathematical models suitable as base for decision support will be evaluated. Two members of the team will test the framework on a sample of included studies to ensure that the coding framework is suitable and can be consistently applied. Analysis of collected data will provide a descriptive summary and thematic analysis. The reported results will convey knowledge about the state of current research and innovation for using artificial intelligence to detect sepsis in early phases of the medical care chain. Ethics and dissemination: The methodology used here is based on the use of publicly available information and does not need ethical approval. It aims at aiding further research towards digital solutions for disease detection and health innovation. Results will be extracted into a review report for submission to a peer-reviewed scientific journal. Results will be shared with relevant local and national authorities and disseminated in additional appropriate formats such as conferences, lectures, and press releases.

The Role of Primary Care Physicians in Providing End-of-Life Care

2018 ◽  
Vol 36 (3) ◽  
pp. 249-254 ◽  
Author(s):  
Jan Tse Liu ◽  
Iris Kovar-Gough ◽  
Nabila Farabi ◽  
Frank Animikwam ◽  
Sarah Beth Weers ◽  
...  
Keyword(s):  
Primary Care ◽  
End Of Life ◽  
End Of Life Care ◽  
Primary Care Physicians ◽  
The United States ◽  
Narrative Review ◽  
Cochrane Library ◽  
Life Care ◽  
Number Of Patients ◽  
Wide Range

Background: Primary care physicians (PCPs) frequently have long-term relationships with patients as well as their families. As such they are well positioned to care for their patients at the end of their lives. As the number of patients in need of end-of-life care continues to grow, it is critical to understand how PCPs can fulfill that need. The purpose of our study is to perform a narrative review of the literature and develop a theoretical model delineating the overarching roles played by PCPs in caring for patients at the end of life. Methods: For this narrative review, the authors searched Medline (PubMed), Embase, Cochrane Library, and Scopus up to March 22, 2017. Articles were not limited by geography. Results: Review of existing literature generally supports 4 broad categories as the primary roles for PCP involvement in end of life: pain and symptom management; information management, including transmitting and clarifying information, setting care priorities, and assisting patients with treatment decisions; coordinating care and collaborating with other providers; and addressing patients’ social, emotional, and spiritual needs. Conclusions: Based on the results of this review, PCPs provide a wide range of services to patients at the end of life. Promoting the provision of the full scope of services by PCPs will help ensure improved continuity of care while providing the highest quality of care for patients, both in the United States and around the world.

scholarly journals Potential mechanisms linking probiotics to diabetes: a narrative review of the literature

2017 ◽  
Vol 135 (2) ◽  
pp. 169-178 ◽  
Author(s):  
Maryam Miraghajani ◽  
Somayeh Shahraki Dehsoukhteh ◽  
Nahid Rafie ◽  
Sahar Golpour Hamedani ◽  
Sima Sabihi ◽  
...  
Keyword(s):  
Diabetes Prevention ◽  
Final Analysis ◽  
Narrative Review ◽  
Cochrane Library ◽  
Expression Of Genes ◽  
Security Research ◽  
Novel Approach ◽  
Wide Range ◽  
Prevention And Treatment ◽  
Underlying Mechanisms

ABSTRACT CONTEXT AND OBJECTIVE: Some studies have suggested a wide range of possible mechanisms through which probiotics may play a role in diabetes prevention and treatment. However, the underlying mechanisms are not fully understood. We conducted this study to review the potential mechanisms suggested for the effect of probiotics in diabetes. DESIGN AND SETTING: Narrative review conducted at the Food Security Research Center of Isfahan. METHODS: A search in the electronic databases MEDLINE (PubMed), Cochrane Library, Web of Science and Google scholar was performed up to October 2016. RESULTS: The initial search yielded 1214 reports. After removing duplicates, 704 titles and abstracts were screened. Finally, out of 83 full-text articles that were reviewed for eligibility, 30 articles were included in the final analysis. The anti-diabetic mechanisms for probiotics reported encompass intraluminal and direct effects on the intestinal mucosa and microbiota (n = 13), anti-inflammatory and immunomodulatory effects (n = 10), antioxidative effects (n = 5), effects on endoplasmic reticulum (ER) stress and expression of genes involved in glucose homeostasis and insulin resistance (n = 6), with some studies pointing to more than one mechanism. CONCLUSION: The results may throw some light on the capacity of probiotics as a novel approach towards controlling diabetes. However, further human studies are warranted to elucidate and confirm the potential role of probiotics in diabetes prevention and treatment. Also, it needs to be ascertained whether the effectiveness of probiotics in diabetes prevention and treatment is dependent on the strain of the microorganisms.

scholarly journals Early detection of sepsis using artificial intelligence: a scoping review protocol

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Ivana Pepic ◽  
Robert Feldt ◽  
Lars Ljungström ◽  
Richard Torkar ◽  
Daniel Dalevi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Early Detection ◽  
Scoping Review ◽  
Web Search ◽  
Scientific Journal ◽  
Case Fatality ◽  
Cochrane Library ◽  
Suspected Sepsis ◽  
Wide Range

Abstract Background Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. To decrease the high case fatality rates and morbidity for sepsis and septic shock, there is a need to increase the accuracy of early detection of suspected sepsis in prehospital and emergency department settings. This may be achieved by developing risk prediction decision support systems based on artificial intelligence. Methods The overall aim of this scoping review is to summarize the literature on existing methods for early detection of sepsis using artificial intelligence. The review will be performed using the framework formulated by Arksey and O’Malley and further developed by Levac and colleagues. To identify primary studies and reviews that are suitable to answer our research questions, a comprehensive literature collection will be compiled by searching several sources. Constrictions regarding time and language will have to be implemented. Therefore, only studies published between 1 January 1990 and 31 December 2020 will be taken into consideration, and foreign language publications will not be considered, i.e., only papers with full text in English will be included. Databases/web search engines that will be used are PubMed, Web of Science Platform, Scopus, IEEE Xplore, Google Scholar, Cochrane Library, and ACM Digital Library. Furthermore, clinical studies that have completed patient recruitment and reported results found in the database ClinicalTrials.gov will be considered. The term artificial intelligence is viewed broadly, and a wide range of machine learning and mathematical models suitable as base for decision support will be evaluated. Two members of the team will test the framework on a sample of included studies to ensure that the coding framework is suitable and can be consistently applied. Analysis of collected data will provide a descriptive summary and thematic analysis. The reported results will convey knowledge about the state of current research and innovation for using artificial intelligence to detect sepsis in early phases of the medical care chain. Ethics and dissemination The methodology used here is based on the use of publicly available information and does not need ethical approval. It aims at aiding further research towards digital solutions for disease detection and health innovation. Results will be extracted into a review report for submission to a peer-reviewed scientific journal. Results will be shared with relevant local and national authorities and disseminated in additional appropriate formats such as conferences, lectures, and press releases.

scholarly journals Early Detection of Sepsis Using Artificial Intelligence: A Scoping Review Protocol

2020 ◽  
Author(s):  
Ivana Pepic ◽  
Robert Feldt ◽  
Lars Ljungström ◽  
Richard Torkar ◽  
Daniel Dalevi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Early Detection ◽  
Scoping Review ◽  
Web Search ◽  
Scientific Journal ◽  
Case Fatality ◽  
Cochrane Library ◽  
Suspected Sepsis ◽  
Wide Range

Abstract Background: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. To decrease the high case fatality rates and morbidity for sepsis and septic shock, there is a need to increase the accuracy of early detection of suspected sepsis in prehospital and emergency department settings. This may be achieved by developing risk prediction decision support systems based on artificial intelligence. Methods: The overall aim of this scoping review is to summarize the literature on existing methods for early detection of sepsis using artificial intelligence. The review will be performed using the framework formulated by Arksey and O’Malley and further developed by Levac and colleagues. To identify primary studies and reviews that are suitable to answer our research questions, a comprehensive literature collection will be compiled by searching several sources. Constrictions regarding time and language will have to be implemented. Therefore, only studies published between 1 January 1990 and 30 September 2020 will be taken into consideration and foreign language publications will not be considered, only papers with full text in English will be included. Databases/web search engines that will be used are PubMed, Web of Science Platform, Scopus, IEEE Xplore, Google Scholar, Cochrane Library and ACM Digital Library. Furthermore, clinical studies that have completed patient recruitment and reported results found in the database ClinicalTrials.gov will be considered. The term artificial intelligence is viewed broadly and a wide range of machine learning and mathematical models suitable as base for decision support will be evaluated. Two members of the team will test the framework on a sample of included studies to ensure that the coding framework is suitable and can be consistently applied. Analysis of collected data will provide a descriptive summary and thematic analysis. The reported results will convey knowledge about the state of current research and innovation for using artificial intelligence to detect sepsis in early phases of the medical care chain.Ethics and dissemination: The methodology used here is based on the use of publicly available information and does not need ethical approval. It aims at aiding further research towards digital solutions for disease detection and health innovation. Results will be extracted into a review report for submission to a peer-reviewed scientific journal. Results will be shared with relevant local and national authorities and disseminated in additional appropriate formats such as conferences, lectures, and press releases.

Microfabrication research at the National Submicron Facility

1983 ◽  
Vol 41 ◽  
pp. 86-89
Author(s):  
E.D. Wolf
Keyword(s):  
Integrated Circuits ◽  
Particle Physics ◽  
High Speed ◽  
New Technology ◽  
High Energy ◽  
High Energy Particle ◽  
New Science ◽  
Wide Range ◽  
Intermediate Domain ◽  
Circuit Function

Most microelectronics devices and circuits operate faster, consume less power, execute more functions and cost less per circuit function when the feature-sizes internal to the devices and circuits are made smaller. This is part of the stimulus for the Very High-Speed Integrated Circuits (VHSIC) program. There is also a need for smaller, more sensitive sensors in a wide range of disciplines that includes electrochemistry, neurophysiology and ultra-high pressure solid state research. There is often fundamental new science (and sometimes new technology) to be revealed (and used) when a basic parameter such as size is extended to new dimensions, as is evident at the two extremes of smallness and largeness, high energy particle physics and cosmology, respectively. However, there is also a very important intermediate domain of size that spans from the diameter of a small cluster of atoms up to near one micrometer which may also have just as profound effects on society as “big” physics.

Assessment of Commercial Off-the-Shelf Tissue Adhesives for Sealing Military-Relevant Corneal Perforation Injuries

2021 ◽  
Author(s):  
Eric J Snider ◽  
Lauren E Cornell ◽  
Brandon M Gross ◽  
David O Zamora ◽  
Emily N Boice
Keyword(s):  
Intraocular Pressure ◽  
High Speed ◽  
Anterior Segment ◽  
Ocular Tissue ◽  
Corneal Tissue ◽  
Corneal Perforation ◽  
Tissue Adhesives ◽  
Open Globe ◽  
Wide Range ◽  
Commercial Off The Shelf

ABSTRACT Introduction Open-globe ocular injuries have increased in frequency in recent combat operations due to increased use of explosive weaponry. Unfortunately, open-globe injuries have one of the worst visual outcomes for the injured warfighter, often resulting in permanent loss of vision. To improve visual recovery, injuries need to be stabilized quickly following trauma, in order to restore intraocular pressure and create a watertight seal. Here, we assess four off-the-shelf (OTS), commercially available tissue adhesives for their ability to seal military-relevant corneal perforation injuries (CPIs). Materials and Methods Adhesives were assessed using an anterior segment inflation platform and a previously developed high-speed benchtop corneal puncture model, to create injuries in porcine eyes. After injury, adhesives were applied and injury stabilization was assessed by measuring outflow rate, ocular compliance, and burst pressure, followed by histological analysis. Results Tegaderm dressings and Dermabond skin adhesive most successfully sealed injuries in preliminary testing. Across a range of injury sizes and shapes, Tegaderm performed well in smaller injury sizes, less than 2 mm in diameter, but inadequately sealed large or complex injuries. Dermabond created a watertight seal capable of maintaining ocular tissue at physiological intraocular pressure for almost all injury shapes and sizes. However, application of the adhesive was inconsistent. Histologically, after removal of the Dermabond skin adhesive, the corneal epithelium was removed and oftentimes the epithelium surface penetrated into the wound and was adhered to inner stromal tissue. Conclusions Dermabond can stabilize a wide range of CPIs; however, application is variable, which may adversely impact the corneal tissue. Without addressing these limitations, no OTS adhesive tested herein can be directly translated to CPIs. This highlights the need for development of a biomaterial product to stabilize these injuries without causing ocular damage upon removal, thus improving the poor vision prognosis for the injured warfighter.

scholarly journals Vibration of Rotating and Revolving Planet Rings with Discrete and Partially Distributed Stiffnesses

2020 ◽  
Vol 11 (1) ◽  
pp. 127
Author(s):  
Fuchun Yang ◽  
Dianrui Wang
Keyword(s):  
High Speed ◽  
Differential Operators ◽  
Natural Frequencies ◽  
Rotation Speed ◽  
Distribution Area ◽  
Vibration Modes ◽  
Governing Equations ◽  
Vibration Properties ◽  
Wide Range ◽  
Forced Responses

Vibration properties of high-speed rotating and revolving planet rings with discrete and partially distributed stiffnesses were studied. The governing equations were obtained by Hamilton’s principle based on a rotating frame on the ring. The governing equations were cast in matrix differential operators and discretized, using Galerkin’s method. The eigenvalue problem was dealt with state space matrix, and the natural frequencies and vibration modes were computed in a wide range of rotation speed. The properties of natural frequencies and vibration modes with rotation speed were studied for free planet rings and planet rings with discrete and partially distributed stiffnesses. The influences of several parameters on the vibration properties of planet rings were also investigated. Finally, the forced responses of planet rings resulted from the excitation of rotating and revolving movement were studied. The results show that the revolving movement not only affects the free vibration of planet rings but results in excitation to the rings. Partially distributed stiffness changes the vibration modes heavily compared to the free planet ring. Each vibration mode comprises several nodal diameter components instead of a single component for a free planet ring. The distribution area and the number of partially distributed stiffnesses mainly affect the high-order frequencies. The forced responses caused by revolving movement are nonlinear and vary with a quasi-period of rotating speed, and the responses in the regions supported by partially distributed stiffnesses are suppressed.

scholarly journals Towards a Glass New World: The Role of Ion-Exchange in Modern Technology

2021 ◽  
Vol 11 (10) ◽  
pp. 4610
Author(s):  
Simone Berneschi ◽  
Giancarlo C. Righini ◽  
Stefano Pelli
Keyword(s):  
Ion Exchange ◽  
Communication Networks ◽  
High Speed ◽  
High Performance ◽  
Low Cost ◽  
Modern Technology ◽  
Historical Background ◽  
Wide Range ◽  
Happy Marriage

Glasses, in their different forms and compositions, have special properties that are not found in other materials. The combination of transparency and hardness at room temperature, combined with a suitable mechanical strength and excellent chemical durability, makes this material indispensable for many applications in different technological fields (as, for instance, the optical fibres which constitute the physical carrier for high-speed communication networks as well as the transducer for a wide range of high-performance sensors). For its part, ion-exchange from molten salts is a well-established, low-cost technology capable of modifying the chemical-physical properties of glass. The synergy between ion-exchange and glass has always been a happy marriage, from its ancient historical background for the realisation of wonderful artefacts, to the discovery of novel and fascinating solutions for modern technology (e.g., integrated optics). Getting inspiration from some hot topics related to the application context of this technique, the goal of this critical review is to show how ion-exchange in glass, far from being an obsolete process, can still have an important impact in everyday life, both at a merely commercial level as well as at that of frontier research.

scholarly journals Rationales and uncertainties for aspirin use in COVID-19: a narrative review

2021 ◽  
Vol 9 (2) ◽  
pp. e000741
Author(s):  
Hazem A Sayed Ahmed ◽  
Eric Merrell ◽  
Mansoura Ismail ◽  
Anwar I Joudeh ◽  
Jeffrey B Riley ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Low Dose ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Narrative Review ◽  
Cochrane Library ◽  
Atherosclerotic Cardiovascular Disease ◽  
Dose Aspirin ◽  
Hospitalised Patients ◽  
Low Dose Aspirin

ObjectivesTo review the pathophysiology of COVID-19 disease, potential aspirin targets on this pathogenesis and the potential role of aspirin in patients with COVID-19.DesignNarrative review.SettingThe online databases PubMed, OVID Medline and Cochrane Library were searched using relevant headlines from 1 January 2016 to 1 January 2021. International guidelines from relevant societies, journals and forums were also assessed for relevance.ParticipantsNot applicable.ResultsA review of the selected literature revealed that clinical deterioration in COVID-19 is attributed to the interplay between endothelial dysfunction, coagulopathy and dysregulated inflammation. Aspirin has anti-inflammatory effects, antiplatelet aggregation, anticoagulant properties as well as pleiotropic effects on endothelial function. During the COVID-19 pandemic, low-dose aspirin is used effectively in secondary prevention of atherosclerotic cardiovascular disease, prevention of venous thromboembolism after total hip or knee replacement, prevention of pre-eclampsia and postdischarge treatment for multisystem inflammatory syndrome in children. Prehospital low-dose aspirin therapy may reduce the risk of intensive care unit admission and mechanical ventilation in hospitalised patients with COVID-19, whereas aspirin association with mortality is still debatable.ConclusionThe authors recommend a low-dose aspirin regimen for primary prevention of arterial thromboembolism in patients aged 40–70 years who are at high atherosclerotic cardiovascular disease risk, or an intermediate risk with a risk-enhancer and have a low risk of bleeding. Aspirin’s protective roles in COVID-19 associated with acute lung injury, vascular thrombosis without previous cardiovascular disease and mortality need further randomised controlled trials to establish causal conclusions.

Sign in / Sign up

Export Citation Format

Share Document