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Treating inertial measurement unit (IMU) measurements as inputs to a motion model and then preintegrating these measurements have almost become a de facto standard in many robotics applications. However, this approach has a few shortcomings. First, it conflates the IMU measurement noise with the underlying process noise. Second, it is unclear how the state will be propagated in the case of IMU measurement dropout. Third, it does not lend itself well to dealing with multiple high-rate sensors such as a lidar and an IMU or multiple asynchronous IMUs. In this paper, we compare treating an IMU as an input to a motion model against treating it as a measurement of the state in a continuous-time state estimation framework. We methodically compare the performance of these two approaches on a 1D simulation and show that they perform identically, assuming that each method’s hyperparameters have been tuned on a training set. We also provide results for our continuous-time lidar-inertial odometry in simulation and on the Newer College Dataset. In simulation, our approach exceeds the performance of an imu-as-input baseline during highly aggressive motion. On the Newer College Dataset, we demonstrate state-of-the art results. These results show that continuous-time techniques and the treatment of the IMU as a measurement of the state are promising areas of further research. Code for our lidar-inertial odometry can be found at: https://github.com/utiasASRL/steam_icp.
This study aimed to develop and validate the modified irritant gas syndrome agent (IGSA) criteria, utilizing readily available triage information and epidemiologic data to efficiently segregate patients based on the severity of hydrofluoric acid (HFA) exposure.
Methods
A retrospective analysis of 160 patients exposed to HFA was performed to develop the criteria and assess the criteria’s efficacy, focusing on age, respiratory rate, and compliance with IGSA standards. The criteria’s validity was assessed by comparing clinical outcomes between patients meeting the modified IGSA (mIGSA) criteria and those who did not as external and internal.
Results
The mIGSA criteria (or AIR criteria) consisting of the 3 clusters of age greater than 49, IGSA criteria satisfied, and respiratory rate greater than 19 was developed. The area under curve of receiver operating characteristic curve for prediction of the risk of confirmed HFA injury according to AIR criteria was 0.8415 at the external validation.
Conclusions
The mIGSA criteria offer a significant improvement in the triage of HFA exposure incidents, facilitating rapid identification and prioritization of patients with potentially severe outcomes. Future research should aim to further validate these criteria across diverse emergency scenarios, reinforcing their utility in global health emergency preparedness.
This systematic literature review explores the applications of social network platforms for disaster health care management and resiliency and investigates their potential to enhance decision-making and policy formulation for public health authorities during such events.
Methods
A comprehensive search across academic databases yielded 90 relevant studies. Utilizing qualitative and thematic analysis, the study identified the primary applications of social network data analytics during disasters, organizing them into 5 key themes: communication, information extraction, disaster Management, Situational Awareness, and Location Identification.
Results
The findings highlight the potential of social networks as an additional tool to enhance decision-making and policymaking for public health authorities in disaster settings, providing a foundation for further research and innovative approaches in this field.
Conclusions
However, analyzing social network data has significant challenges due to the massive volume of information generated and the prevalence of misinformation. Moreover, it is important to point out that social network users do not represent individuals without access to technology, such as some elderly populations. Therefore, relying solely on social network data analytics is insufficient for effective disaster health care management. To ensure efficient disaster management and control, it is necessary to explore alternative sources of information and consider a comprehensive approach.
This study aimed to investigate the prevalence and nature of cognitive impairment among severely ill COVID-19 patients and the effectiveness of the Montreal Cognitive Assessment (MoCA) in detecting it.
Method:
We evaluated cognition in COVID-19 patients hospitalized during the first wave (March to June 2020) from six Dutch hospitals, nine months post-discharge, using a comprehensive multi-domain neuropsychological test battery. Test performance was corrected for sex, age, and education differences and transformed into z-scores. Scores within each cognitive domain were averaged and categorized as average and above (z-score ≥ −0.84), low average (z-score −1.28 to −0.84), below average (z-score −1.65 to −1.28), and exceptionally low (z-score < −1.65). Patients were classified with cognitive impairment if at least one domain’s z-score fell below −1.65. We assessed the MoCA’s accuracy using both the original cutoff (<26) and an “optimal” cutoff determined by Youden’s index.
Results:
Cognitive impairment was found in 12.1% (24/199) of patients, with verbal memory and mental speed most affected (6.5% and 7% below −1.65, respectively). The MoCA had an area under the curve of 0.84. The original cutoff showed sensitivity of 83% and specificity of 66%. Using the identified optimal cutoff of <24, maintained sensitivity while improving specificity to 81%.
Conclusions:
Cognitive impairment prevalence in initially hospitalized COVID-19 patients is lower than initially expected. Verbal memory and processing speed are primarily affected. The MoCA is a valuable screening tool for these impairments and lowering the MoCA cutoff to <24 improves specificity.
The unprecedented popularity of Charles Dickens's first serial novel, The Posthumous Papers of the Pickwick Club (1836–37), among all classes of readers helped shape Britain's mass reading public. The irrevocable change that Dickens effected on Victorian print culture is well established, but there is little discussion of how his early works interpreted the print culture in which they first circulated. I approach Pickwick according to the perspective of a little-known contemporary response, “Sam Weller's Scrap Sheet (1837),” printed by John Cleave. “Sam Weller's Scrap Sheet” cleverly reproduces the narrative, form, and material of Pickwick according to the perspective of a laboring-class reader. Its attention to print material and class identity informs a new reading of Pickwick: in order to unify disparate reading and writing cultures, I argue, Pickwick fictively binds together materials sourced from a variety of print cultures and redefines them unanimously as “paper.” As the “Scrap Sheet” makes clear, this effaces the productive agency of the “papers’” originating contexts. Tying together discussions from Pickwick’s reception history, print history, and media studies, this paper more broadly examines the tensions that accompanied shifting relationships to material print in early-industrial England.
The focus of job satisfaction literature remains on the subordinate even though supervisors are responsible for evaluating employee performance, determining employee pay, raises, promotions, growth opportunities, etc., all of which impact employees’ subsequent performance that contributes (or not) to organizational success. Using a psychological contracts lens, we develop and test theoretical arguments predicting supervisors’ response to contributions is not uniformly positive depending on the type and amount of contribution involved. Across two studies, we ask supervisors to evaluate subordinates’ delivered contributions relative to promised contributions. Our results challenge the assumption that supervisors always desire larger amounts of work from their subordinates; excess contributions were associated with lower supervisors’ satisfaction with subordinates for some types of contributions. The results imply that subordinates’ contributions of work to supervisors may influence supervisors’ satisfaction with subordinates perhaps affecting their performance reviews and career opportunities.
The nonlinear stability of two-dimensional (2-D) plane Couette flow subject to a constant throughflow is analysed at finite and asymptotically large Reynolds numbers $\textit {Re}$. The speed of this throughflow is quantified by the non-dimensional throughflow number $\eta$. The base flow exhibits a linear instability provided $\eta \gtrsim 3.35$, with multi-deck upper and lower branch structures developing in the limit $1\ll \eta \ll \mathit {O}(\textit {Re})$. This instability provides a springboard for the computation of nonlinear travelling waves which bifurcate subcritically from the linear neutral curve, allowing us to map out a neutral surface at different values of $\eta$. Using strongly nonlinear critical layer theory, we investigate the waves that bifurcate from the upper branch at asymptotically large $\textit {Re}$. This asymptotic structure exists provided the throughflow number is larger than the critical value of $\eta _c\approx 1.20$ and is shown to give quantitatively similar results to the numerical solutions at Reynolds numbers of $\mathit {O}(10^5)$.
Given the rate of advancement in predictive psychiatry, there is a threat that it outpaces public and professional willingness for use in clinical care and public health. Prediction tools in psychiatry estimate the risk of future development of mental health conditions. Prediction tools used with young populations have the potential to reduce the worldwide burden of depression. However, little is known globally about adolescents’ and other stakeholders’ attitudes toward use of depression prediction tools. To address this, key informant interviews and focus group discussions were conducted in Brazil, Nepal, Nigeria and the United Kingdom with 23 adolescents, 45 parents, 47 teachers, 48 health-care practitioners and 78 other stakeholders (total sample = 241) to assess attitudes toward using a depression prediction risk calculator based on the Identifying Depression Early in Adolescence Risk Score. Three attributes were identified for an acceptable depression prediction tool: it should be understandable, confidential and actionable. Understandability includes depression literacy and differentiating between having a condition versus risk of a condition. Confidentiality concerns are disclosing risk and impeding educational and occupational opportunities. Prediction results must also be actionable through prevention services for high-risk adolescents. Six recommendations are provided to guide research on attitudes and preparedness for implementing prediction tools.
On July 28, 2022, eastern Kentucky experienced the state’s deadliest flood in recorded history. In response to ongoing mental health concerns from community members who survived the flood, local health department directors in affected communities requested technical assistance from the Kentucky Department for Public Health and the Centers for Disease Control and Prevention.
Methods
Two simultaneous Community Assessments for Public Health Emergency Response (CASPERs) were conducted 6 weeks after the flood. Four counties were assessed in each CASPER. EpiInfo7 was used to calculate the unweighted and weighted frequencies and percentages to estimate the number and percentage of households with a particular response in each CASPER.
Results
Approximately a third (30.5%) of households in CASPER 1 and approximately 40% of households in CASPER 2 reported experiencing ≥1 mental health problems. Individual-level mental health questions from a modified 3-stage CASPER found approximately 15% of persons in both CASPERs reported a Patient Health Questionnaire-2 (PHQ-2) score ≥3 and approximately 20% of persons in both CASPERs reported Generalized Anxiety Disorder-2 (GAD-2) score ≥3.
Conclusions
These findings indicated households experienced mental health problems after the flood. Depression and anxiety were prevalent among persons living in flood-affected areas. If ever needed, households preferred to receive mental health services in-person and locally.
A super-stable granular heap is a pile of grains whose free surface is inclined above the angle of repose, and which forms when particles are poured onto a plane that is confined laterally by frictional sidewalls that are separated by a narrow gap. During continued mass supply, the heap free surface gradually steepens until all the inflowing grains can flow out of the domain. As soon as the supply of grains is stopped, the heap is progressively eroded, and if the base of the domain is inclined above the angle of repose, then all the grains eventually flow out. This phenomenology is modelled using a system of two-dimensional width-averaged mass and momentum balances that incorporate the sidewall friction. The granular material is assumed to be incompressible and satisfy the partially regularized $\mu (I)$-rheology. This is implemented in OpenFOAM$^{\circledR}$ and compared against small-scale experiments that study the formation, steady-state behaviour and drainage of a super-stable heap. The simulations accurately capture the dense liquid-like flows as well as the evolving heap shape. The steady uniform flow that develops along the heap surface has non-trivial inertial number dependence through its depth. Super-stable heaps are therefore a sensitive rheometer that can be used to determine the dependence of the friction $\mu$ on the inertial number $I$. However, these flows are challenging to simulate because the free-surface inertial number is high, and can exceed the threshold for ill-posedness even for the partially regularized theory.
Brine shrimps (Artemia spp.) are aquatic crustaceans known as important intermediate hosts for a wide range of helminth species. From 2011 to 2021, 4,347 individuals of brine shrimp were collected for this study, investigating the diversity and infection rates of helminth species in Artemia spp. from hypersaline waters in southern and eastern Ukraine. Seven helminth species were found: six cestodes (Anomotaenia tringae, Eurycestus avoceti, Branchiopodataenia gvozdevi, Confluaria podicipina, Fimbriarioides tadornae, Hymenolepis s.l. stellorae) and one unidentified acuariid nematode (Acuariidae gen. sp.). All these helminths were recorded for the first time in intermediate hosts in Ukraine, although they had been known from other regions. Additionally, partial sequences of the 18S rDNA gene as well as the mitochondrial cytochrome c oxidase subunit 1 (cox1) and nicotinamide adenine dinucleotide dehydrogenase subunit 1 (nad1) genes were obtained for varying numbers of cestode and nematode isolates for the first time. The overall prevalence of helminth infection in Artemia spp. was 21.9%, and the intensity ranged from one to three specimens.
Compared with first-tier cities in China that are of abundant funds and resources like legions of high-level hospitals, the degree of nurses’ disaster nursing preparedness in non-first-tier cities (inland) is relatively lower. For example, nurses’ knowledge reserve of specific disasters is not comprehensive enough. And nurses are diffident when it comes to the skills of handling disaster rescue. Furthermore, their understanding of the roles to take in disaster coordination management is ambiguous. Conquering these challenges could be conducive to the improvement of local medical staffs’ confidence and capabilities in disaster relief. Consequently, the objective of this research is to probe for approaches of improving the strategies of disaster nursing in Chinese small cities.
Methods
In order to ascertain the factors that influence disaster preparedness, a cross-sectional study with SPSS 25.0 data analysis method is adopted. The sample of the study is nursing personnel from 4 comprehensive hospitals at or above the second level in Yongcheng, Henan Province, China, as nurses are first-line responders in disasters and pandemics and the largest group in disaster rescue.
Results
From 813 distributed questionnaires, 784 completed questionnaires were returned, for a response rate of 96.43%. The total average score of the Disaster Preparedness Evaluation Tool is 146.76 ± 34.98, and the average score of all the entries is 3.26 ± 0.45, indicating moderate performance. The results indicate that age affects post disaster management (P < 0.05), meaning that as age increases, the scores also tend to be higher. Work experience, professional titles, disaster relief experience, and disaster training significantly differ in terms of knowledge, skills, post disaster management, and total scores (P < 0.01). The result of multivariate analysis indicates that titles, disaster relief experiences, and disaster training are the main factors affecting the disaster preparedness of nurses in Chinese non-first-tier (inland) cities(P < 0.05).
Conclusions
For the sake of upgrading the efficiency of disaster nursing preparedness in Chinese non-first-tier (inland) cities with limited funds and resources, it is very important to formulate training and education methods that are suitable for the local area, conduct characteristic simulation exercises, and expand experience exchange between hospitals. It’s certain that the local government will also play an important role in coordinating and organizing the division of labor, resource allocation, and management of hospitals at all levels in different phases of disasters, which can help nursing staff have a clearer understanding of their roles when preparing for disasters.
Fires are among the most feared incidents that can occur in a hospital. Hospital fires will disrupt care continuity, may require the evacuation of patients and have the potential to result in injuries or even deaths. The aim of this study is to gain insight into hospital fires in the Netherlands over a 20-year period.
Methods
Systematic scoping review of news articles mentioning hospital fires in the Netherlands retrieved from the LexisNexis database, Google, Google News, PubMed, and EMBASE between 2000 and 2020. Hospital fires were included if they were associated with the closure of hospital departments or intervention units and/or evacuations. The cause, location, involved departments, need for evacuation, and the number of casualties were evaluated.
Results
Twenty-four major hospital fires were identified. More than half of these were caused by technical failures, and in 6 cases (25%), the fires were attributed to patients. In 71% of the incidents, acute care departments were affected by the fire. Twenty fires (83%) resulted in the evacuation of patients. In 2 cases, the fire resulted in the death of a patient.
Conclusions
Patient-attributed fires are a significant cause of major hospital fires in the Netherlands. Prevention and mitigation measures should be implemented accordingly.
To compare characteristics between stroke populations with and without sensorineural hearing loss (SNHL) and assess the impact of SNHL on stroke outcome.
Methods
A retrospective study of patients admitted with stroke was carried out. Patients were divided into two groups, where group A were diagnosed with SNHL and group B were without SNHL. Baseline age, gender, vascular risk factors and disability were compared. Logistic regression analyses were performed with three-month mortality and SNHL as dependent variables.
Results
A total of 631 admissions were reviewed, with mean age 79.2 years, including 305 patients with SNHL and 326 without. More severe disability was more prevalent in patients with SNHL. Sensorineural hearing loss was not associated with increased mortality (odds ratio = 1.1, 95 per cent confidence interval = 0.7–2.0, p = 0.668). Hypertension was present in 210 (68.9 per cent) with SNHL versus 189 (58 per cent) without SNHL (p = 0.005). Small-vessel disease aetiology was more prevalent in SNHL 51 (16.7 per cent) versus 30 (9.2 per cent) without SNHL (p = 0.005).
Conclusion
Sensorineural hearing loss appears to have an association with stroke of small-vessel disease aetiology and hypertension. Sensorineural hearing loss does not affect three-month mortality but is associated with increased disability.
The aim of this article and the ensuing Special Issue is to assess, après fifteen years, the effects on the EU legal and political system of the overhaul of executive delegated powers inaugurated by the Lisbon Treaty. It identifies core parameters – i.e. (institutional) balance of powers, (democratic) legitimacy, control and accountability, effectiveness of EU policy implementation – considered by the contributions to this Special Issue to map and examine, both constitutionally and normatively, the EU system of delegated powers in law and practice. It also puts forward seven overarching reflections revealing some of the core issues and challenges posed by the current stage of development of the post-Lisbon EU system of delegated powers.
The amplitude modulation coefficient, $R$, that is widely used to characterize nonlinear interactions between large- and small-scale motions in wall-bounded turbulence is not compatible with detecting the convective nonlinearity of the Navier–Stokes equations. Through a spectral decomposition of $R$ and a simplified model of triadic convective interactions, we show that $R$ suppresses the signature of convective scale interactions, but is strongly influenced by linear interactions between large-scale motions and the background mean flow. We propose an additional coefficient that is specifically designed for the detection of convective nonlinearities, and we show how this new coefficient, $R_T$, quantifies the turbulent kinetic energy transport involved in turbulent scale interactions and reveals a classical energy cascade across widely separated scales.
Some effects are considered to be higher level than others. High-level effects provide expressive and succinct abstraction of programming concepts, while low-level effects allow more fine-grained control over program execution and resources. Yet, often it is desirable to write programs using the convenient abstraction offered by high-level effects, and meanwhile still benefit from the optimizations enabled by low-level effects. One solution is to translate high-level effects to low-level ones.
This paper studies how algebraic effects and handlers allow us to simulate high-level effects in terms of low-level effects. In particular, we focus on the interaction between state and nondeterminism known as the local state, as provided by Prolog. We map this high-level semantics in successive steps onto a low-level composite state effect, similar to that managed by Prolog’s Warren Abstract Machine. We first give a translation from the high-level local-state semantics to the low-level global-state semantics, by explicitly restoring state updates on backtracking. Next, we eliminate nondeterminism altogether in favour of a lower-level state containing a choicepoint stack. Then we avoid copying the state by restricting ourselves to incremental, reversible state updates. We show how these updates can be stored on a trail stack with another state effect. We prove the correctness of all our steps using program calculation where the fusion laws of effect handlers play a central role.