Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of surgical wound infection and related factors in patients after long bone surgery: A systematic review and meta‐analysis

The goal of this systematic review and meta‐analysis is to provide an overview of the prevalence of surgical wound infection and related factors in patients after long bone surgery. A comprehensive, systematic search was conducted in different international electronic databases, such as Scopus, PubMed, Web of Science and Persian electronic databases such as Iranmedex and Scientific Information Database using keywords extracted from Medical Subject Headings such as “Prevalence”, “Surgical wound infection”, “Surgical site infection” and “Orthopedics” from the earliest to the May 1, 2023. The appraisal tool for cross‐sectional studies (AXIS tool) evaluates the quality of the included studies. A total of 71 854 patients undergoing long bone surgery participated in 12 studies. The pooled prevalence of surgical wound infection in patients who underwent long bone surgery reported in the 12 studies was 3.3% (95% CI: 1.5%–7.2%; I2 = 99.39%; p < 0.001). The pooled prevalence of surgical wound infection in male and female patients who underwent long bone surgery was 4.6% (95% CI: 1.7%–11.7%; p < 0.001; I2 = 99.34%) and 2.6% (95% CI: 1.0%–6.3%; I2 = 98.84%; p < 0.001), respectively. The pooled prevalence of surgical wound infection in patients with femur surgery sites reported in nine studies was 3.7% (95% CI: 2.1–6.4%; I2 = 93.43%; p < 0.001). The pooled prevalence of surgical wound infection in open and close fractures was 16.4% (95% CI: 8.2%–30.2%; I2 = 95.83%; p < 0.001) and 2.9% (95% CI: 1.5%–5.5%; I2 = 96.40%; p < 0.001), respectively. The pooled prevalence of surgical wound infection in patients with diabetes mellitus (DM), hypertension (HTN) and cardiovascular disease (CVD) was 4.6% (95% CI: 2.3%–8.9%; I2 = 81.50%; p < 0.001), 2.7% (95% CI: 1.2%–6.0%; I2 = 83.82%; p < 0.001) and 3.0% (95% CI: 1.4%–6.4%; I2 = 69.12%; p = 0.006), respectively. In general, the different prevalence of surgical wound infection in patients undergoing surgical treatment after long bone fracture may be caused by underlying factors (gender and co‐morbidity) and fracture‐related factors (surgery site and type of fracture).
Numerical methods for modelling the viscous effects on the interactions between multiple wave energy converters

The vast and rich body of literature covering the numerical modelling of hydrodynamic floating body systems has demonstrated their great power and versatility when applied to offshore marine energy systems. It is possible to model almost any type of physical phenomenon which could be expected within such a system, however, limitations of computing power continue to restrict the usage of the most comprehensive models to very narrow and focused design applications. Despite the continued evolution of parallel computing, one major issue that users of computational tools invariably face is how to simplify their modelled systems in order to achieve practically the necessary computations, whilst capturing enough of the pertinent physics, with great enough ‘resolution’, to give robust results. The challenge is, in particular, to accurately deliver a complete spectrum of results, that account for all of the anticipated sea conditions and allow for the optimisation of different control scenarios. This thesis examines the uncertainty associated with the effects of viscosity and nonlinear behaviour on a small scale model of an oscillating system. There are a wide range of Computational Fluid Dynamics (CFD) methods which capture viscous effects. In general however, the oscillating, six degree-of-freedom floating body problem is best approached using a linear potential flow based Boundary Element Method (BEM), as the time taken to process an equivalent model will differ by several orders of magnitude. For modelling control scenarios and investigating the effects of different sea states, CFD is highly impractical. As potential flows are inviscid by definition, it is therefore important to know how much of an impact viscosity has on the solution, particularly when different scales are of interest during device development. The first aim was to develop verified and validated solutions for a generic type decaying system. The arrangement studied was adapted from an array tank test experiment which was undertaken in 2013 by an external consortium (Stratigaki et al., 2014). Solutions were delivered for various configurations and gave relatively close approximations of the experimental measurements, with the modelling uncertainties attributed to transient nonlinear effects and to dissipative effects. It was not possible however to discern the independent damping processes. A set of CFD models was then developed in order to investigate the above discrepancies, by numerically capturing the nonlinear effects, and the effects of viscosity. The uncontrolled mechanical effects of the experiment could then be deduced by elimination, using known response patterns from the measurements and derived results from the CFD simulations. The numerical uncertainty however posed a significant challenge, with the outcomes supported by verification evidence, and detailed discussions relating to the model configuration. Finally, the impact of viscous and nonlinear effects were examined for two different interacting
Quantum Monte Carlo Simulations of Drag Interaction in the Superfluid Phase of the 3-Component Bose-Hubbard Model

We study Andreev-Bashkin drag interactions between the superflow of different components in the superfluid phase of a three-component Bose-Hubbard model without component-mixing interactions, relevant for cold atom systems subjected to an optical lattice. By means of directed worm algorithm path integral Monte Carlo simulations we produce the phase diagram of the superfluid drag density as a function of the nearest-neighbor hopping amplitude and the chemical potential in the case of component-symmetric parameters. In both one and two dimensions, we find an expected region of negative drag close to the tip of the first Mott lobe and a generalization of the two-component supercounterfluid phase in parts of this region. In addition, we also find a more trivial positive drag with strongest presence below the Mott lobe. Further, we investigate the dependence of the drag on the details of the intercomponent interactions strengths in the weakly-coupled regime. In accordance with mean-field results obtained by Stian Hartman, we find that, unlike in the two-component case, the drag is no longer independent of the sign of the intercomponent interaction strengths. In particular, the drag between component a and b can either be strengthened or weakened by increasing interaction strength between component a and c, depending on the sign of the interaction strength between b and c.
Simultaneous Input and State Estimation for Integrated Motor-Transmission Systems in a Controller Area Network Environment via an Adaptive Unscented Kalman Filter

As the requirements on powertrain efficiency of electric vehicles (EVs) are increasing, integrated motor-transmission (IMT) powertrain systems for EVs are becoming a promising solution. For the integration of IMT powertrain systems, the system state information and the actuator status are usually required for the closed-loop controller design or the on-board fault diagnosis. Embracing the demands, an observer for simultaneous estimation of input and system state of an IMT powertrain system is studied in this paper. It is well-known that controller area network (CAN) has been dominant in the vehicle network, which is used to communicate among controllers, sensors, and actuators. However, the CAN bus always induces time-varying delays when there are a number of communication nodes on the bus. The CAN-bus induced delay would result in vibrations in the vehicle powertrain or even deterioration of the entire closed-loop system. To deal with the CAN-bus induced delay in the estimation work for IMT powertrain systems, the potential random delays are considered in a three-state nonlinear model which represents the behavior of an IMT system. To estimate the input and state simultaneously, an adaptive unscented Kalman filter (AUKF) is adopted. As we know, the adopted AUKF has the benefits of dealing with system nonlinearities and calculating the noise covariance matrix automatically. Simulations and comparisons are carried out. We can see from the results that the proposed observer estimates the input and system state well. Moreover, the resulting estimation error is smaller comparing with the estimation error of the observer based on extended Kalman filter algorithm.
Application of biomechanical principles to upper cervical spine anatomy to alleviate symptoms of intermittent cranial nerve IX irritation. Directions for successful self-management of headache post-concussion? A case series

ABSTRACT Background The neck has been implicated as a potential generator of symptoms such as dizziness and headache in individuals with persistent symptoms post concussion. Anatomically, the neck could also be a potential trigger for autonomic or cranial nerve symptoms. The glossopharyngeal nerve which innervates the upper pharynx is one possible autonomic trigger that might be affected by the upper cervical spine. Case Description This is a case series of three individuals with persistent post-traumatic headache (PPTH) and symptoms of autonomic dysregulation who also had signs of intermittent glossopharyngeal nerve irritation associated with certain neck positions or movements. Biomechanical principles were applied to anatomical research on the path of the glossopharyngeal nerve, in relation to the upper cervical spine and the dura mater, to alleviate these intermittent symptoms. The patients were provided techniques to be used as tools to immediately alleviate the intermittent dysphagia, which also alleviated the constant headache at the same time. As part of the overall long-term management program, patients were also taught daily exercises to improve upper cervical and dural stability and mobility. Outcome The result was a decrease in intermittent dysphagia, headache, and autonomic symptoms in the long term in persons with PPTH following concussion. Discussion Autonomic and dysphagia symptoms may provide clues as to the origin of symptoms in a subgroup of individuals with PPTH.
Older Adults’ Quality of Life in Long-Term Care: A Cross-Sectional Comparison Before and During the COVID-19 Pandemic

Abstract This study aims to assess changes in long-term care (LTC) residents’ quality of life (QoL) before and during the COVID-19 pandemic. A pre-test post-test study of 49 QoL measures, across four dimensions from the interRAI self-reported QoL survey, was conducted. Secondary data from 2019 (n = 116) and 2020 (n = 128) were analysed to assess the change in QoL. A significant decline in 12 measures was observed, indicating a change in QoL of LTC residents during the pandemic. Social life was the dimension mostly affected with residents reporting less opportunities to spend time with like-minded residents, explore new skills and interests, participate in meaningful religious activities, and have enjoyable things to do in the evenings. Several measures of personal control, staff responsiveness and care, and safety also demonstrated a significant change. The results can inform future strategies for pandemic and outbreak preparedness. Balancing the safety of residents with attention to their QoL should be a priority moving forward.
Ultrasound-guided closure of the femoral artery during venoarterial decannulation using a large-bore closure device

Background: Peripheral femoro-femoral venoarterial extracorporeal membrane oxygenation (VA-ECMO) is viable for fast hemodynamic assistance during cardiogenic shock. Ultrasound-guided closure with a large-bore device (MANTA®) is a feasible option potentially replacing surgical arteriotomy closure in peripheral VA-ECMO decannulation. Methods: This retrospective study included patients weaning from percutaneously inserted femoro-femoral VA-ECMO at the Helsinki University Hospital, Finland in 2012–2020. The primary endpoints were access-site complications, a composite of hematomas/seromas/surgical site infections (SSIs), and the safety endpoint of vascular complications (VCs). Results: A total of 100 consecutive percutaneously implanted and weaned VA-ECMO patients were stratified into two groups by decannulation strategy: percutaneous ultrasound-guided MANTA device (n = 21, 21.0%) or surgical approach (n = 79, 79.0%). The mean age of the cohort was 51 ± 13 years and females represented 25.0%. The technical success rate of the percutaneous ultrasound-guided MANTA technique was 95.2%. In multivariate analysis, surgical closure was associated with a higher incidence of combined access site hematomas/seromas/SSIs compared to percutaneous ultrasound-guided deployment of MANTA device (44.3% versus 9.5%, odds ratio (OR): 7.162, 95% confidence interval (CI): 1.544–33.222; p = 0.012). Similarly, access-site complications necessitating interventions were more frequent in the surgical closure group compared to US-MANTA (ultrasound-guided MANTA) group (26.6% versus 0.0%, p = 0.005). VCs were infrequent in both groups without any significant intergroup difference (p > 0.99). Conclusions: Percutaneous ultrasound-guided MANTA closure of the femoral artery after VA-ECMO decannulation was associated with high technical success rate and low incidence of VCs. Compared to surgical closure, access-site complications were significantly less frequent, along with access-site complications necessitating interventions.
The implication of oversampling on the effectiveness of force signals in the fault detection of endodontic instruments during RCT

Graphical abstract This work provides an innovative endodontic instrument fault detection methodology during root canal treatment (RCT). Sometimes, an endodontic instrument is prone to fracture from the tip, for causes uncertain the dentist’s control. A comprehensive assessment and decision support system for an endodontist may avoid several breakages. This research proposes a machine learning and artificial intelligence-based approach that can help to diagnose instrument health. During the RCT, force signals are recorded using a dynamometer. From the acquired signals, statistical features are extracted. Because there are fewer instances of the minority class (i.e. faulty/moderate class), oversampling of datasets is required to avoid bias and overfitting. Therefore, the synthetic minority oversampling technique (SMOTE) is employed to increase the minority class. Further, evaluating the performance using the machine learning techniques, namely Gaussian Naïve Bayes (GNB), quadratic support vector machine (QSVM), fine k-nearest neighbor (FKNN), and ensemble bagged tree (EBT). The EBT model provides excellent performance relative to the GNB, QSVM, and FKNN. Machine learning (ML) algorithms can accurately detect endodontic instruments’ faults by monitoring the force signals. The EBT and FKNN classifier is trained exceptionally well with an area under curve values of 1.0 and 0.99 and prediction accuracy of 98.95 and 97.56%, respectively. ML can potentially enhance clinical outcomes, boost learning, decrease process malfunctions, increase treatment efficacy, and enhance instrument performance, contributing to superior RCT processes. This work uses ML methodologies for fault detection of endodontic instruments, providing practitioners with an adequate decision support system.
Value of combining transect counts and telemetry data to determine short‐term population trends in a globally threatened species

To evaluate conservation interventions, it is necessary to obtain reliable population trends for short (<10 years) time scales. Telemetry can be used to estimate short‐term survival rates and is a common tool for assessing population trends, but it has limitations and can be biased toward specific behavioral traits of tagged individuals. Encounter rates calculated from transects can be useful for assessing changes across multiple species, but they can have large confidence intervals and be affected by variations in survey conditions. The decline of African vultures has been well‐documented, but understanding of recent trends is lacking. To examine population trends, we used survival estimates from telemetry data collected over 6 years (primarily for white‐backed vultures [Gyps africanus]) and transect counts conducted over 8 years (for 7 scavenging raptors) in 3 large protected areas in Tanzania. Population trends were estimated using survival analysis combined with the Leslie Lefkovitch matrix model from the telemetry data and using Bayesian mixed effects generalized linear regression models from the transect data. Both methods showed significant declines for white‐backed vultures in Ruaha and Nyerere National Parks. Only telemetry estimates suggested significant declines in Katavi National Park. Encounter rates calculated from transects also showed declines in Nyerere National Park for lappet‐faced vultures (38% annual declines) and Bateleurs (18%) and in Ruaha National Park for white‐headed vultures (Trigonoceps occipitalis) (19%). Mortality rates recorded and inferred from telemetry suggested that poisoning is prevalent. However, only 6 mortalities of the 26 presumed mortalities were confirmed to be caused by poisoning, highlighting the challenges of determining the cause of death when working across large landscapes. Despite declines, our data provide evidence that southern Tanzania has higher current encounter rates of African vultures than elsewhere in East Africa. Preventing further declines will depend greatly on mitigating poisoning. Based on our results, we suggest that the use of multiple techniques improves understanding of population trends over the short term.
A Reflection on the Dialectic Synthesis

This paper contains a reflection on the Hegelian Dialectic Synthesis, shortened by the triplet Thesis–Antithesis–Synthesis, from a formal and naive points of view inscribed in the field of ordinary or commonsense reasoning. The Dialectic Synthesis is analyzed thanks to the methodology of Fuzzy Logic, and limiting the antithesis to either negation or opposite. It is shown, through very simple examples, the necessity for arriving at a synthesis, of a common ground (either crisp or possibilistic) between the thesis and its antithesis.
Threatening experts: Correlates of viewing scientists as a social threat

Despite widespread trust in scientists, efforts to curtail their influence suggest some Americans distrust scientists and may even perceive them to be a social threat. Using panel survey data, we examine who holds this viewpoint and potential implications of threat perceptions. Results suggest Republicans and Evangelical identifying individuals perceived more social threat from scientists. News media uses were associated with threat perceptions in divergent ways. Threat perceptions were strongly associated with inaccurate science beliefs, support for excluding scientists from policy-making, and retributive actions toward scientists. Findings highlight the importance of social identity considerations amid concerns about partisan social sorting and politicization of science.
Climate Variability in Monsoon and Arid Regions Attributable to Dynamic Vegetation in a Global Climate Model

The climate variability in monsoon and arid regions attributable to dynamic vegetation is investigated using NCAR’s Community Earth System Model with the Dynamic Global Vegetation Model. Two present climate simulations, one using dynamics and the other using fixed vegetation cover, are carried out. A comparative analysis of the two simulations reveals that the climate in monsoon and arid regions exhibits different responses to dynamic vegetation. On the hemispheric scale, precipitation mainly increases in the Northern Hemisphere and decreases in the Southern Hemisphere in response to dynamic vegetation, while the surface temperature exhibits a consistent decrease. On the regional scale, precipitation decreases caused by dynamic vegetation are the main trend in monsoon regions except for the Asian monsoon region, while precipitation responses to vegetation change are weak in arid regions relative to monsoon regions. The surface temperature increases significantly because of dynamic vegetation only in the boreal winter Asian monsoon region, while the rest of the monsoon and arid regions mainly exhibit reduced surface temperatures. Therefore, the climate variability in the Asian monsoon Journal of the Meteorological Society of Japan Vol. 96, No. 4 392
Heat jet approach for finite temperature atomic simulations of two-dimensional square lattice

We propose a heat jet approach for a two-dimensional square lattice with nearest neighbouring harmonic interaction. First, we design a two-way matching boundary condition that linearly relates the displacement and velocity at atoms near the boundary, and a suitable input in terms of given incoming wave modes. Then a phonon representation for finite temperature lattice motion is adopted. The proposed approach is simple and compact. Numerical tests validate the effectiveness of the boundary condition in reflection suppression for outgoing waves. It maintains target temperature for the lattice, with expected kinetic energy distribution and heat flux. Moreover, its linear nature facilitates reliable finite temperature atomic simulations with a correct description for non-thermal motions.
Magneto-hydrodynamic stability of a liquid metal battery in discharge

All liquid three-layer batteries are intended as large-scale electrical energy storage. The paper investigates long-wave interfacial instabilities driven by the electromagnetic forces during dynamic phases of the battery charging/discharging. The liquid metal battery of 20 cm size with sodium metal anode, which is a candidate for experimental and commercial implementation, is shown to be unstable at the discharge state when the top metal layer depth is reduced below a critical level. The numerical model includes the effects of viscous friction and the horizontal wave velocities. The instability does not depend on the initial interface perturbation type.