Evaluation of ecosystem resilience to drought based on drought intensity and recovery time

2022 ◽  
Vol 314 ◽  
pp. 108809
Author(s):  
Ying Yao ◽  
Bojie Fu ◽  
Yanxu Liu ◽  
Yan Li ◽  
Shuai Wang ◽  
...  
2019 ◽  
Vol 3 (4) ◽  
pp. 279-282
Author(s):  
Melody Maarouf ◽  
Bryan Kromenacker ◽  
Eric Brucks ◽  
Vivian Shi

Actinic keratoses (AK) are precancerous lesions that develop on chronically sun-exposed skin. They frequently require prophylactic field treatment due to the risk of progression to squamous cell carcinoma. Topical treatment with 5-fluorouracil (5-FU) yields near complete AK resolution, yet leaves a patient with an exuberant erythematous treatment site, which may be embarrassing and/or uncomfortable. We report a case of a patient with diffuse facial AK who was treated with 5-FU twice daily for 2 weeks, resulting in fiery-red erythema and disrupted barrier indices. Application of pure ultra white petroleum jelly, an emollient preferred by dermatologists for post-operative wound healing, resulted in drastic decreased erythema and recovery time of post-treatment transepidermal water loss and hydration, compared to the contralateral, non-petrolatum-treated side. Additionally, petrolatum use did not disrupt the AK resolution endpoint. We suggest that petroleum jelly be used for the repair of 5-FU-induced barrier disruption and erythema to promote greater patient adherence. 


1988 ◽  
Vol 24 (6) ◽  
pp. 303 ◽  
Author(s):  
P.D. Colbourne ◽  
P.E. Jessop

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Isabella Metelmann ◽  
Johannes Broschewitz ◽  
Uta-Carolin Pietsch ◽  
Gerald Huschak ◽  
Uwe Eichfeld ◽  
...  

Abstract Background Non-intubated video-assisted thoracic surgery (NiVATS) has been introduced to surgical medicine in order to reduce the invasiveness of anesthetic procedures and avoid adverse effects of intubation and one-lung ventilation (OLV). The aim of this study is to determine the time effectiveness of a NiVATS program compared to conventional OLV. Methods This retrospective analysis included all patients in Leipzig University Hospital that needed minor VATS surgery between November 2016 and October 2019 constituting a NiVATS (n = 67) and an OLV (n = 36) group. Perioperative data was matched via propensity score analysis, identifying two comparable groups with 23 patients. Matched pairs were compared via t-Test. Results Patients in NiVATS and OLV group show no significant differences other than the type of surgical procedure performed. Wedge resection was performed significantly more often under NiVATS conditions than with OLV (p = 0,043). Recovery time was significantly reduced by 7 min (p = 0,000) in the NiVATS group. There was no significant difference in the time for induction of anesthesia, duration of surgical procedure or overall procedural time. Conclusions Recovery time was significantly shorter in NiVATS, but this effect disappeared when extrapolated to total procedural time. Even during the implementation phase of NiVATS programs, no extension of procedural times occurs.


Author(s):  
Mateusz Iwo Dubaniowski ◽  
Hans Rudolf Heinimann

A system-of-systems (SoS) approach is often used for simulating disruptions to business and infrastructure system networks allowing for integration of several models into one simulation. However, the integration is frequently challenging as each system is designed individually with different characteristics, such as time granularity. Understanding the impact of time granularity on propagation of disruptions between businesses and infrastructure systems and finding the appropriate granularity for the SoS simulation remain as major challenges. To tackle these, we explore how time granularity, recovery time, and disruption size affect the propagation of disruptions between constituent systems of an SoS simulation. To address this issue, we developed a high level architecture (HLA) simulation of three networks and performed a series of simulation experiments. Our results revealed that time granularity and especially recovery time have huge impact on propagation of disruptions. Consequently, we developed a model for selecting an appropriate time granularity for an SoS simulation based on expected recovery time. Our simulation experiments show that time granularity should be less than 1.13 of expected recovery time. We identified some areas for future research centered around extending the experimental factors space.


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