bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic Response of Local Hull Structures Under Moving Slamming Loads
Authors: Chen Yunbin , Zhu Ling 
Published: October 2022

Abstract
The bow of a ship is often subjected to the action of moving slamming loads, and the slamming phenomenon occurs frequently, which has significant effect on the local and global structural response. In this paper, Euler-Bernoulli beam theory and modal superposition method are adopted to study the dynamic response of a beam under the moving slamming load. The slamming pressure is characterized as pulse load that moving along the longitudinal direction at a constant speed. The problem is solved using a Fourier sine integral transformation in space and a Laplace-Carson integral transformation in time. Deflection and stress as functions of time and position for different speeds, bending stiffnesses, etc. are given. The cases that arrival of a pulse load on a beam, steady-state vibration, departure of a pulse load from a beam all have been considerated in theoretical model. Based on the proposed theoretical model, the influence of parameters such as load rising section coefficient, migration velocity on the dynamic response of beams under moving slamming load is studied and the associated results are compared with those using the finite element method. The proposed theoretical model is useful in understanding the slamming impact and evaluating the dynamic response of structural components under slamming loads.
Stochastic Response Determination of U-Oscillating Water Columns in Severe Seas by a Statistical Linearization Scheme
Authors: Scialò Andrea , Malara Giovanni , Kougioumtzoglou Ioannis A. , Arena Felice 
Published: October 2022

Abstract
U-Oscillating Water Columns (U-OWCs) are fixed wave energy converters that are becoming increasingly popular. Indeed, a full-scale prototype was installed recently at the port of Civitavecchia (Rome, Italy), while another U-OWC integrated breakwater is currently under construction at the port of Salerno (Italy).
The dynamics of these systems is governed by a system of nonlinear integro-differential equations with no known exact solution. Various solution methodologies have been proposed ranging from purely numerical ones to approximate semi-analytical schemes, such as those based on statistical linearization. The latter was shown to exhibit satisfactory accuracy in determining response statistics vis-à-vis Monte Carlo data. However, significant discrepancies may arise in severe sea states, because the U-OWC is exposed to frequent inlet uncovering during the crossing of large wave troughs, and thus to a discontinuous wave excitation. In general, standard approximate models do not account for this phenomenon, and therefore they exhibit in many cases a relatively low accuracy degree.
In this paper, a novel statistical linearization scheme is developed for determining approximately the response statistics of a U-OWC exposed to severe sea states. A significant novelty of the proposed scheme relates to the fact that the determined parameters of the equivalent linear system include not only the standard mass, damping and stiffness coefficients, but also an equivalent excitation coefficient that accounts for the intermittent nature of the wave excitation.
The reliability of the scheme is demonstrated by comparisons with relevant Monte Carlo simulation data.
Code and Solution Verification of Sliding and Overset Grid Methods on Wind Turbine Flows
Authors: Gomes Tiago , Lemaire Sébastien , Vaz Guilherme 
Published: October 2022

Abstract
Sliding Grids (SG) and Overset Grids (OG) are two CFD methods for discretizing the domain with several sub-grids, with the potential of enabling complex body motion in unsteady simulations. Their fundamental difference lies on the sub-grid placement, fitted into each other (SG) or overlapped (OG), which ends up impacting the information transfer mechanism that couples them. In the present work Verification procedures are applied to a novel wind turbine flow manufactured solution, followed by the aerodynamic analysis of the rotor of the NREL 5MW wind turbine. The studies aim at assessing the impact of these methods on the simulation errors, namely in terms of interpolation schemes and resulting mass imbalance, and to compare them directly performing the same task, to fulfill a gap perceived in the literature. The results suggest that SG tend to be more convenient to be used in meshes incorporating the rotor geometry, while potentially being similar to OG in terms of accuracy. This convenience consderation also derives from convergence issues with OG, which are thought to be linked with the rotating domain’s interface being too close to the turbine’s geometry. Moreover, higher than second order interpolation schemes are found to minimize the mass imbalance introduced by these methods and consequent pressure fluctuations.
Obesity alone should not rule out knee replacement surgery
Authors: Saul Helen , Gursul Deniz , Evans Jonathan 
Published: October 2022

The studyEvans JT, Mouchti S, Blom AW, et al. Obesity and revision surgery, mortality, and patient-reported outcomes after primary knee replacement surgery in the National Joint Registry: a UK cohort study.PLoS Med2021;18:7.
Neighbourhood material deprivation and severe maternal morbidity: a population-based cohort study in Ontario, Canada
Authors: Snelgrove John W , Lam Melody , Watson Tristan , Richard Lucie , Fell Deshayne B , Murphy Kellie E , Rosella Laura C 
Published: October 2022

ObjectivesRates of age-associated severe maternal morbidity (SMM) have increased in Canada, and an association with neighbourhood income is well established. Our aim was to examine SMM trends according to neighbourhood material deprivation quintile, and to assess whether neighbourhood deprivation effects are moderated by maternal age.Design, setting and participantsA population-based retrospective cohort study using linked administrative databases in Ontario, Canada. We included primiparous women with a live birth or stillbirth at ≥20 weeks’ gestational age.Primary outcomeSMM from pregnancy onset to 42 days postpartum. We calculated SMM rate differences (RD) and rate ratios (RR) by neighbourhood material deprivation quintile for each of four 4-year cohorts from 1 April 2002 to 31 March 2018. Log-binomial multivariable regression adjusted for maternal age, demographic and pregnancy-related variables.ResultsThere were 1 048 845 primiparous births during the study period. The overall rate of SMM was 18.0 per 1000 births. SMM rates were elevated for women living in areas with high material deprivation. In the final 4-year cohort, the RD between women living in high vs low deprivation neighbourhoods was 3.91 SMM cases per 1000 births (95% CI: 2.12 to 5.70). This was higher than the difference observed during the first 4-year cohort (RD 2.09, 95% CI: 0.62 to 3.56). SMM remained associated with neighbourhood material deprivation following multivariable adjustment in the pooled sample (RR 1.16, 95% CI: 1.11 to 1.21). There was no evidence of interaction with maternal age.ConclusionSMM rate increases were more pronounced for primiparous women living in neighbourhoods with high material deprivation compared with those living in low deprivation areas. This raises concerns of a widening social gap in maternal health disparities and highlights an opportunity to focus risk reduction efforts toward disadvantaged women during pregnancy and postpartum.
Effectiveness of combined exercise in people with type 2 diabetes and concurrent overweight/obesity: a systematic review and meta-analysis
Authors: Zhao Xiaoyan , He Qianyu , Zeng Yongmei , Cheng Li 
Published: October 2022

ObjectiveTo synthesise the available scientific evidence on the effects of combined exercise on glycaemic control, weight loss, insulin sensitivity, blood pressure and serum lipids among patients with type 2 diabetes (T2D) and concurrent overweight/obesity.Design and samplePubMed, EMBASE, Web of Science, the Cochrane library, WANFANG, CNKI, SinoMed, OpenGrey and ClinicalTrials.gov were searched from inception through April 2020 to identify randomised controlled trials (RCTs) that reported the effects of combined exercise in individuals with T2D and concurrent overweight/obesity.MethodsQuality assessment was performed using the Cochrane Collaboration’s risk of bias tool. The mean difference (MD) with its corresponding 95% CI was used to estimate the effect size. Meta-analysis was performed using Review Manager V.5.3.ResultsA total of 10 RCTs with 978 participants were included in the meta-analysis. Pooled results demonstrated that combined exercise significantly reduced haemoglobin A1c (MD=−0.16%, 95% CI: −0.28 to −0.05, p=0.006); body mass index (MD=−0.98 kg/m2, 95% CI: −1.41 to −0.56, p<0.001); homeostasis model assessment of insulin resistance (MD=−1.19, 95% CI: −1.93 to −0.46, p=0.001); serum insulin (MD=−2.18 μIU/mL, 95% CI: −2.99 to −1.37, p<0.001) and diastolic blood pressure (MD=−3.24 mm Hg, 95% CI: −5.32 to −1.16, p=0.002).ConclusionsCombined exercise exerted significant effects in improving glycaemic control, influencing weight loss and enhancing insulin sensitivity among patients with T2D and concurrent overweight/obesity.
Codesigning patient experience measures for and with children and young people with intellectual disability: a study protocol
Authors: Mimmo Laurel , Woolfenden Susan , Travaglia Joanne , Strnadová Iva , Phillips Maya Tokutake and Karen , van Hoek Matthew and Debbie , Harrison Reema 
Published: October 2022

IntroductionChildren and young people with intellectual disability represent one of the most vulnerable groups in healthcare, yet they remain under-represented in projects to design, develop and/or improve healthcare service delivery. Increasingly, healthcare services are using various codesign and coproduction methodologies to engage children and young people in service delivery improvements.Methods and analysisThis study employs an inclusive approach to the study design and execution, including two co-researchers who are young people with intellectual disability on the project team. We will follow an adapted experience-based co-design methodology to enable children and young people with intellectual disability to participate fully in the co-design of a prototype tool for eliciting patient experience data from children and young people with intellectual disability in hospital.Ethics and disseminationThis study was granted ethical approval on 1 February 2021 by the Sydney Children’s Hospitals Network Human Research Ethics Committee, reference number 2020/ETH02898. Dissemination plan includes publications, doctoral thesis chapter, educational videos. A summary of findings will be shared with all participants and presented at the organisation quality and safety committee.
Study protocol for a 10-year prospective observational study, examining lymphoedema and patient-reported outcome after breast reconstruction
Authors: Laustsen-Kiel Cecilie Mullerup , Lauritzen Elisabeth , Langhans Linnea , Engberg Damsgaard Tine 
Published: October 2022

IntroductionOver the last decades, treatment of breast cancer has become increasingly more effective. Consequently, an increasing number of women are living with late effects of breast cancer treatment, including disfiguring scars, deformity or asymmetry of the breast, secondary lymphoedema and other physical and psychosocial late effects. Data from this study will provide knowledge on how to guide breast reconstruction in the future towards outcomes with fewer complications, higher long-term quality of life (QoL) and satisfaction with the aesthetic outcome. The development of secondary lymphoedema, for which the effect of breast reconstruction has yet to be established, will be thoroughly examined.Methods and analysisWomen receiving breast reconstruction (autologous and implant based) at the Department of Plastic Surgery and Burns Treatment, Rigshospitalet, will be invited to participate. The patients will be followed for 10 years postoperatively. Demographic, health-related, oncological characteristics and treatment data will be registered. Validated assessment tools, such as the BREAST-Q and Beck Depression Inventory, will be used to measure an extensive range of clinical outcomes, including QoL, life and aesthetic satisfaction and depression. Arm range of motion will be measured with a goniometer and lymphoedema by bioimpedance spectroscopy, compared with circular arm measurements.Ethics and disseminationThis study will be conducted according to the 5th version of the Helsinki Declaration. The regional ethical committee for Capital Region Denmark did not find the study notifiable, according to the law of the committee § 1, part 4. All data will be anonymised before its publication. This study will be conducted according to the Danish data protection regulation and is catalogued and approved by the Capital Region Head of Knowledge Centre. According to the Danish health law § 46, part 2, this study does not need the Danish Patient Safety Authority’s approval. The findings of this study will be submitted to international peer-reviewed journals.
Causes of infective endocarditis in the Western Cape, South Africa: a prospective cohort study using a set protocol for organism detection and central decision making by an endocarditis team
Authors: Pecoraro Alfonso Jan Kemp , Pienaar Colette , Herbst Philippus George , Poerstamper Simon , Joubert Lloyd , Taljaard Jantjie , Prozesky Hans , Janson Jacques , Newton-Foot Mae , Doubell Anton Frans 
Published: October 2022

BackgroundBlood culture negative infective endocarditis (BCNIE) poses both a diagnostic and therapeutic challenge. High rates of BCNIE reported in South Africa have been attributed to antibiotic use prior to blood culture sampling.ObjectivesTo assess the impact of a systematic approach to organism detection and identify the causes of infective endocarditis (IE), in particular causes of BCNIE.DesignProspective cohort study.MethodsThe Tygerberg Endocarditis Cohort study prospectively enrolled patients with IE between November 2019 and February 2021. A set protocol for organism detection with management of patients by an endocarditis team was employed. This prospective cohort was compared with a retrospective cohort of patients with IE admitted between January 2017 and December 2018.ResultsOne hundred and forty patients with IE were included, with 75 and 65 patients in the retrospective and prospective cohorts, respectively. Baseline demographic characteristics were similar with a mean age of 39.6 years and male predominance (male sex=67.1%). The rate of BCNIE was lower in the prospective group (28/65 or 43.1%) compared with the retrospective group (47/75 or 62.7%; p=0.039). The BCNIE in-hospital mortality rate in the retrospective cohort was 23.4% compared with 14.2% in the prospective cohort (p=0.35). A cause was identified (including non-culture techniques) in 86.2% of patients in the prospective cohort, withStaphylococcus aureus(26.2%),Bartonellaspecies (20%) and the viridans streptococci (15.3%) being most common.ConclusionThe introduction of a set protocol for organism detection, managed by an endocarditis team, has identifiedStaphylococcusaureusas the most common cause of IE and identified non-culturable organisms, in particularBartonella quintana, as an important cause of BCNIE. A reduction in in-hospital mortality in patients with BCNIE was observed, but did not reach statistical significance.
SchedGuard++: Protecting against Schedule Leaks Using Linux Containers on Multi-Core Processors
Authors: Chen Jiyang , Kloda Tomasz , Tabish Rohan , Bansal Ayoosh , Chen Chien-Ying , Liu Bo , Mohan Sibin , Caccamo Marco , Sha Lui 
Published: October 2022

Timing correctness is crucial in a multi-criticality real-time system, such as an autonomous driving system. It has been recently shown that these systems can be vulnerable to timing inference attacks, mainly due to their predictable behavioral patterns. Existing solutions like schedule randomization cannot protect against such attacks, often limited by the system’s real-time nature. This article presents “
SchedGuard++
”: a temporal protection framework for Linux-based real-time systems that protects against posterior schedule-based attacks by preventing untrusted tasks from executing during specific time intervals.
SchedGuard++
supports multi-core platforms and is implemented using Linux containers and a customized Linux kernel real-time scheduler. We provide schedulability analysis assuming the Logical Execution Time (LET) paradigm, which enforces I/O predictability. The proposed response time analysis takes into account the interference from trusted and untrusted tasks and the impact of the protection mechanism. We demonstrate the effectiveness of our system using a realistic radio-controlled rover platform. Not only is “
SchedGuard++
” able to protect against the posterior schedule-based attacks, but it also ensures that the real-time tasks/containers meet their temporal requirements.
Classification of COVID-19 from CT chest images using Convolutional Wavelet Neural Network
Authors: AbdulQader Dina A. , Saadoon Asma T. , Naser Marwa T. , Jabbar Ali Hassan 
Published: October 2022

<p>Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients’ CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convolutional neural network that uses other activation functions (exponential linear unit (ELU), rectified linear unit (ReLU), Swish, Leaky ReLU, Sigmoid), and the result is that utilizing CWNN gave better results for all performance metrics (accuracy, sensitivity, specificity, precision, and F1-score). The results obtained show that the prediction accuracies of CWNN were 99.97%, 99.9%, 99.97%, and 99.04% when using wavelet filters (rational function with quadratic poles (RASP1), (RASP2), and polynomials windowed (POLYWOG1), superposed logistic function (SLOG1)) as activation function, respectively. Using this algorithm can reduce the time required for the radiologist to detect whether a patient has COVID or not with very high accuracy.</p>
Early coronavirus disease detection using internet of things smart system
Authors: Abdulhussein Tabarak Ali , Al-Falahi Hamid A. , Ahmed Smait Drai , Alani Sameer , Mahmood Sarmad Nozad , Mustafa Mohammed Sulaiman 
Published: October 2022

<p>The internet of things (IoT) is quickly evolving, allowing for the connecting of a wide range of smart devices in a variety of applications including industry, military, education, and health. Coronavirus has recently expanded fast across the world, and there are no particular therapies available at this moment. As a result, it is critical to avoid infection and watch signs like fever and shortness of breath. This research work proposes a smart and robust system that assists patients with influenza symptoms in determining whether or not they are infected with the coronavirus disease (COVID-19). In addition to the diagnostic capabilities of the system, the system aids these patients in obtaining medical care quickly by informing medical authorities via Blynk IoT. Moreover, the global positioning system (GPS) module is used to track patient mobility in order to locate contaminated regions and analyze suspected patient behaviors. Finally, this idea might be useful in medical institutions, quarantine units, airports, and other relevant fields.</p>
Forecasting smoked rubber sheets price based on a deep learning model with long short-term memory
Authors: Phoksawat Kornkanok , Phoksawat Eakkarat , Chanakot Benjamin 
Published: October 2022

<span>This research aimed to create suitable forecasting models with long-short term memory (LSTM) from time series data, the price of rubber smoked sheets (RSS3) using 2,631 data from the Rubber Authority of Thailand for the past 10 years. The data was divided into two sets: first series 2,105 data points were used to create the LSTM prediction model; second series 526 data points were used to estimate forecasting performance using the root mean square error (RMSE), the mean absolute percentage error (MAPE), and accuracy rate of the model. The results showed that the most suitable forecasting model for time series data, with a total of 9 LSTM layers comprised of 3 primary LSTMs. Each LSTM layer has the number of neurons 100, 150, and 200 to obtain an optimal neural network of the LSTM technique. The number of epochs and iteration was 30, 40, and 50. Dropout layers between each LSTM layer have a probability of 30%. The results of the test to measure the performance of the time series forecasting data showed that the 9-layer model with the LSTM model architecture of LSTM 3 layers gave the best forecast, with RMSE of 2.4121, MAPE of 0.0413 and 95.88% accuracy rate.</span>
Códigos sanitários municipais e a descentralização da vigilância sanitária no Estado do Rio de Janeiro
Authors: Nobre Patricia Fernandes da Silva , Diniz Rosângela Maria Souza , Leandro Katia Christina , Silva Michele Feitoza 
Published: October 2022

O presente artigo teve como objetivo mapear, sistematizar e analisar o avanço dos municípios do Estado do Rio de Janeiro na implementação dos parâmetros mínimos de estrutura como parte do processo de descentralização das ações de vigilância sanitária, tomando como referência o código sanitário municipal. Por meio de ofício e formulários, os códigos foram obtidos, analisados e comparados com o designado pelas normas estaduais e com o documento orientativo da Agência Nacional de Vigilância Sanitária para elaboração da Lei do Código Sanitário Municipal. De um total de 92 municípios fluminenses, apenas 33 contavam com o código sanitário. Entre esses 33 municípios, somente quatro apresentava, nos respectivos códigos, os nove capítulos recomendados pela Agência Nacional de Vigilância Sanitária. Por outro lado, 30 municípios contemplaram todas as ações designadas pela Secretaria de Estado de Saúde do Rio de Janeiro. Concluiu-se que, mesmo que os códigos sanitários atendam a suas necessidades, os municípios devem estar atentos a revisões e atualizações preconizadas pela União e pelo estado para que, além de representarem a realidade e especificidade locorregional, contemplem os avanços técnico-científicos e as normativas correntes.