bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation and Evaluation of Cloud Storage Caching for Data Intensive Science
Authors: Wegner Tobias , Lassnig Mario , Ueberholz Peer , Zeitnitz Christian 
Published: February 2022

AbstractA common task in scientific computing is the data reduction. This workflow extracts the most important information from large input data and stores it in smaller derived data objects. The derived data objects can then be used for further analysis. Typically, these workflows use distributed storage and computing resources. A straightforward setup of storage media would be low-cost tape storage and higher-cost disk storage. The large, infrequently accessed input data are stored on tape storage. The smaller, frequently accessed derived data is stored on disk storage. In a best-case scenario, the large input data is only accessed very infrequently and in a well-planned pattern. However, practice shows that often the data has to be processed continuously and unpredictably. This can significantly reduce tape storage performance. A common approach to counter this is storing copies of the large input data on disk storage. This contribution evaluates an approach that uses cloud storage resources to serve as a flexible cache or buffer, depending on the computational workflow. The proposed model is explored for the case of continuously processed data. For the evaluation, a simulation tool was developed, which can be used to analyse models related to storage and network resources. We show that using commercial cloud storage can reduce on-premises disk storage requirements, while maintaining an equal throughput of jobs. Moreover, the key metrics of the model are discussed, and an approach is described, which uses the simulation to assist with the decision process of using commercial cloud storage. The goal is to investigate approaches and propose new evaluation methods to overcome future data challenges.
A stochastic model of word occurrences in hierarchically structured written texts
Authors: Ogura Hiroshi , Hanada Yasutaka , Amano Hiromi , Kondo Masato 
Published: February 2022

AbstractIn previous studies, we have treated real written texts as time series data and have tried to investigate dynamic correlations of word occurrences by utilizing autocorrelation functions (ACFs) and also by simulation of pseudo-text synthesis. The results showed that words that appear in written texts can be classified into two groups: a group of words showing dynamic correlations (Type-I words), and a group of words showing no dynamic correlations (Type-II words). In this study, we investigate the characteristics of these two types of words in terms of their waiting time distributions (WTDs) of word occurrences. The results for Type-II words show that the stochastic processes that govern generating Type-II words are superpositions of Poisson point processes with various rate constants. We further propose a model of WTDs for Type-I words in which the hierarchical structure of written texts is considered. The WTDs of Type-I words in real written texts agree well with the predictions of the proposed model, indicating that the hierarchical structure of written texts is important for generating long-range dynamic correlations of words.
Characterization and optimization of alkali-treated yushania alpina bamboo fiber properties: case study of ethiopia species
Authors: Ebissa Dawit Tessema , Tesfaye Tamrat , Worku Delele , Wood David 
Published: February 2022

AbstractThe mechanical properties of single Yushania alpina bamboo fibers have not been explored. This is a serious limitation on their application. The main purpose of this work is to fill up information gaps to prepare for the growing usage of Ethiopian bamboo in a variety of applications. This study looks at the characterization and optimization of Y.alpina bamboo fiber properties extracted both chemically and mechanically. Using response surface methodology (RSM) the mechanical properties were optimized and linear, quadratic and interaction of independent variables were determined. Samples of length 25–30 cm were harvested at various ages from the middle of the stem which was then soaked in different NaOH concentrations weight by volume for different times. Using a rolling machine that has three rollers, the fiber is mechanically extracted. The optimal mechanical properties were observed at plant age of 1.8 years, alkali concentration of 10%, and a soaking duration of 2.0 days. The model is significant (P ≤ 0.005) with a 95% confidence level for predicted values that were closer to the measured values, indicating that the model's fit to the measured properties was strong at the optimized values. The optimized points of age and soaking duration ware subjected to chemical, thermal and morphological analysis for each corresponding NaOH Concentration (6, 12, and 18%) levels. Scanning electron microscopy (SEM) was employed to examine the microstructure of the fibers and discovered that the 18% NaOH treated fiber resulted in more wrinkles in the surface of bamboo fibers when compared with the 6 and 12%NaOH Bamboo fiber. Using thermogravimetric analysis (TGA) and differential thermal gravimetric (DTG), the study investigated weight loss increased as alkali concentration increased but the scenario functioned for proper concentration.
A new method for identification of cyclic plasticity model parameters
Authors: Suchocki Cyprian , Kowalewski Zbigniew 
Published: February 2022

Abstract
In this study, a new method for determining the material parameters of cyclic plasticity is presented. The method can be applied to evaluate the model parameters from any loading histories measured experimentally. The experimental data require basic processing only to be utilized. The method can be applied to calibrate the parameters of different elastoplastic models such as the Chaboche–Rousselier (Ch–R) constitutive equation or other model formulations which use different rules of isotropic hardening. The developed method was utilized to evaluate the material parameters of copper for a selected group of constitutive models. It is shown that among the considered model formulations a very good description of the mechanical properties of copper is achieved for the Ch–R model with two Voce terms used for simulating the isotropic hardening and two backstress variables utilized for capturing the kinematic hardening behavior. Furthermore, it is demonstrated that a model calibrated using the cyclic tension/compression data is able to properly capture the material response in torsion. Similarly, when the constitutive parameters are determined using the cyclic torsion data the model is able to properly reproduce the material behavior in tension/compression. It is concluded that for the considered type of constitutive equations the material parameters can be identified from a single mechanical test. The proposed methodology was validated using the relations derived analytically
A method to create a synthetic population with social networks for geographically-explicit agent-based models
Authors: Jiang Na , Crooks Andrew T. , Kavak Hamdi , Burger Annetta , Kennedy William G. 
Published: February 2022

AbstractGeographically-explicit simulations have become crucial in understanding cities and are playing an important role in Urban Science. One such approach is that of agent-based modeling which allows us to explore how agents interact with the environment and each other (e.g., social networks), and how through such interactions aggregate patterns emerge (e.g., disease outbreaks, traffic jams). While the use of agent-based modeling has grown, one challenge remains, that of creating realistic, geographically-explicit, synthetic populations which incorporate social networks. To address this challenge, this paper presents a novel method to create a synthetic population which incorporates social networks using the New York Metro Area as a test area. To demonstrate the generalizability of our synthetic population method and data to initialize models, three different types of agent-based models are introduced to explore a variety of urban problems: traffic, disaster response, and the spread of disease. These use cases not only demonstrate how our geographically-explicit synthetic population can be easily utilized for initializing agent populations which can explore a variety of urban problems, but also show how social networks can be integrated into such populations and large-scale simulations.
Predictors of cognitive functioning in presentations to a community-based specialist addiction neuropsychology service
Authors: Gooden James R. , Cox Catherine A. , Petersen Vanessa , Curtis Ashlee , Sanfilippo Paul G. , Manning Victoria , Bolt Georgia L. , Lubman Dan I. 
Published: February 2022

AbstractIntroduction:Cognitive impairment is common in individuals presenting to alcohol and other drug (AOD) settings and the presence of biopsychosocial complexity and health inequities can complicate the experience of symptoms and access to treatment services. A challenge for neuropsychologists in these settings is to evaluate the likely individual contribution of these factors to cognition when providing an opinion regarding diagnoses such as acquired brain injury (ABI). This study therefore aimed to identify predictors of cognitive functioning in AOD clients attending for neuropsychological assessment.Methods:Clinical data from 200 clients with AOD histories who attended for assessment between 2014 and 2018 were analysed and a series of multiple regressions were conducted to explore predictors of cognitive impairment including demographic, diagnostic, substance use, medication, and mental health variables.Results:Regression modelling identified age, gender, years of education, age of first use, days of abstinence, sedative load, emotional distress and diagnoses of ABI and developmental disorders as contributing to aspects of neuropsychological functioning. Significant models were obtained for verbal intellectual functioning (Adj R2 = 0.19), nonverbal intellectual functioning (Adj R2 = 0.10), information processing speed (Adj R2 = 0.20), working memory (Adj R2 = 0.05), verbal recall (Adj R2 = 0.08), visual recall (Adj R2 = 0.22), divided attention (Adj R2 = 0.14), and cognitive inhibition (Adj R2 = 0.07).Conclusions:These findings highlight the importance of careful provision of diagnoses in clients with AOD histories who have high levels of unmet clinical needs. They demonstrate the interaction of premorbid and potentially modifiable comorbid factors such as emotional distress and prescription medication on cognition. Ensuring that modifiable risk factors for cognitive impairment are managed may reduce experiences of cognitive impairment and improve diagnostic clarity.
Design methodology for mass personalisation enabled by digital manufacturing
Authors: Ozdemir Mehmet , Verlinden Jouke , Cascini Gaetano 
Published: February 2022

Abstract
Mass Personalisation (MP) is becoming more significant to answer diversifying customer needs, as a result of the advancements in digital manufacturing. In contrary to the modular design in mass customisation, Design for MP (DfMP) proposes more profound changes in product and active user involvement in the design process, while maintaining mass efficiency. Traditional product development methodologies fall short in guiding MP, as it has the distinct differences with product variability and the customer involvement with specific needs. In this study, a dedicated design methodology for MP is presented, focussing on these key dimensions. The proposed methodology guides the designer through the development process of a user modifiable design and demonstrates how to facilitate the user involvement in reaching a personalised design. It proposes a flexible and adaptable seed design architecture, and an interactive customer co-creation process. The development of a seed design, construction of its design space, and management of the solution space with a design solution algorithm are elaborated. The application of the methodology was illustrated on the personalisation of knitted footwear, and 3D printed saxophone mouthpiece. The examples show the potential of the methodology to deal with coupled MP cases. A systematic approach to DfMP will allow expanding MP to more products, and acts as a foundation for the customer co-creation oriented design in the context of this emerging paradigm.
Does endoscopic balloon dilatation improve intranasal drug delivery to the olfactory cleft? A pre-clinical cadaver feasibility study
Authors: Milk D Gershnabel , Khong G C , Çam O H , Fernando A , Tierney C , Kassem F , Leong S C 
Published: February 2022

AbstractBackgroundAlthough systemic steroids have been shown to improve olfactory function, topical steroids have not demonstrated the same efficacy. This could a result of limited drug delivery to the narrow, superiorly placed olfactory cleft. This study aimed to examine the penetration of intranasal drugs to the olfactory cleft following endonasal balloon dilatation.MethodsBalloon dilatation was performed in 12 thawed, fresh-frozen cadaver specimens. In the Mygind position, nasal drops mixed with blue food dye were administered into the nostril before and after the dilatation procedure. Endoscopic videos were recorded to assess dye staining of the olfactory cleft and osteo-meatal complex using a 4-point Likert scale.ResultsPrior to balloon dilatation, the mean penetration of nasal drops into the olfactory cleft was 1.34, which improved significantly (p < 0.05) to 2.66 following the procedure. There was no change in dye penetration into the osteo-meatal complex after balloon dilatation.ConclusionThe results of this exploratory study suggest that balloon dilatation may improve the delivery of nasal drops to the olfactory cleft area. The clinical applicability and impact on olfactory function will require further assessment.
The Impacts of Benefit Sanctions: A Scoping Review of the Quantitative Research Evidence
Authors: PATTARO SERENA , BAILEY NICK , WILLIAMS EVAN , GIBSON MARCIA , WELLS VALERIE , TRANMER MARK , DIBBEN CHRIS 
Published: February 2022

AbstractIn recent decades, the use of conditionality backed by benefit sanctions for those claiming unemployment and related benefits has become widespread in the social security systems of high-income countries. Critics argue that sanctions may be ineffective in bringing people back to employment or indeed harmful in a range of ways. Existing reviews largely assess the labour market impacts of sanctions but our understanding of the wider impacts is more limited. We report results from a scoping review of the international quantitative research evidence on both labour market and wider impacts of benefit sanctions. Following systematic search and screening, we extract data for 94 studies reporting on 253 outcome measures. We provide a narrative summary, paying attention to the ability of the studies to support causal inference. Despite variation in the evidence base and study designs, we found that labour market studies, covering two thirds of our sample, consistently reported positive impacts for employment but negative impacts for job quality and stability in the longer term, along with increased transitions to non-employment or economic inactivity. Although largely relying on non-experimental designs, wider-outcome studies reported significant associations with increased material hardship and health problems. There was also some evidence that sanctions were associated with increased child maltreatment and poorer child well-being. Lastly, the review highlights the generally poor quality of the evidence base in this area, with few studies employing research methods designed to identify the causal impact of sanctions, especially in relation to wider impacts.
Real-time multitask multihuman–robot interaction based on context awareness
Authors: Yu Xinyi , Xu Chengjun , Zhang Xin , Ou Linlin 
Published: February 2022

AbstractThis study presents a novel context awareness multihuman–robot interaction (MHRI) system that allows multiple operators to interact with a robot. In the system, a monocular multihuman 3D pose estimator is first developed with the convolutional neural network. The estimator first regresses a set of 2D joints representations of body parts and then restores the 3D joints positions based on these 2D representations. Further, the 3D joints are assigned to the corresponding individual with a priority–redundancy association algorithm. The whole 3D pose of each person is reconstructed in real time, even in crowded scenes containing both self-occlusion of the body and inter-person occlusion. Then, the identities of multiple persons are recognized with action context and 3D skeleton tracking to improve interactive efficiency. For context-awareness multitask interaction, the robot control strategy is designed based on target goal generation and correction. The generated goal is taken as a reference to the model predictive controller (MPC) to generate motion trajectory. Different interactive requirements are adapted by adjusting the weight parameters of the energy function of the MPC controller. Multihuman–robot interactive experiments, including dynamic obstacle avoidance (human–robot safety) and cooperative handling, demonstrate the feasibility and effectiveness of the MHRI, and the safety and collaborative efficiency of the system are evaluated with HRI metrics.
The incidence of recurrent laryngeal nerve injury resulting in vocal cord paralysis following interventional congenital catheterisation procedures
Authors: Shahrier Aniqa Z. , Chinchilli Vernon M. , Qureshi Athar M. , Prieto Lourdes R. , Levi Daniel S. , Boe Brian A. , Turner Daniel R. , Rubio Agustin E. , Trucco Sara M. , Devanagondi Rajiv , Law Mark A. , Bass John L. , Pihkala Jaana I. , Weber Howard S. 
Published: February 2022

AbstractBackground:Recurrent laryngeal nerve injury leading to vocal cord paralysis is a known complication of cardiothoracic surgery. Its occurrence during interventional catheterisation procedures has been documented in case reports, but there have been no studies to determine an incidence.Objective:To establish the incidence of left recurrent laryngeal nerve injury leading to vocal cord paralysis after left pulmonary artery stenting, patent ductus arteriosus device closure and the combination of the procedures either consecutively or simultaneously.Methods:Members of the Congenital Cardiovascular Interventional Study Consortium were asked to perform a retrospective analysis to identify cases of recurrent laryngeal nerve injury after the aforementioned procedures. Twelve institutions participated in the analysis. They also contributed the total number of each procedure performed at their respective institutions for statistical purposes.Results:Of the 1337 patients who underwent left pulmonary artery stent placement, six patients (0.45%) had confirmed vocal cord paralysis. 4001 patients underwent patent ductus arteriosus device closure, and two patients (0.05%) developed left vocal cord paralysis. Patients who underwent both left pulmonary artery stent placement and patent ductus arteriosus device closure had the highest incidence of vocal cord paralysis which occurred in 4 of the 26 patients (15.4%). Overall, 92% of affected patients in our study population had resolution of symptoms.Conclusion:Recurrent laryngeal nerve injury is a rare complication of left pulmonary artery stent placement or patent ductus arteriosus device closure. However, the incidence is highest in patients undergoing both procedures either consecutively or simultaneously. Additional research is necessary to determine contributing factors that might reduce the risk of recurrent laryngeal nerve injury.
Nutritional status of school-age children and adolescents in low- and middle-income countries across seven global regions: a synthesis of scoping reviews
Authors: Wrottesley Stephanie V , Mates Emily , Brennan Eilise , Bijalwan Vasundhara , Menezes Rachael , Ray Stephanie , Ali Zakari , Yarparvar Amirhossein , Sharma Deepika , Lelijveld Natasha 
Published: February 2022

AbstractObjective:To summarise available evidence on the nutritional status of school-age children and adolescents (5–19 years) from seven global regions and on interventions implemented to improve malnutrition in this population.Setting:Global.Design:Findings were compiled from seven scoping literature reviews, including data from low- and middle-income countries within the following UNICEF-defined global regions: East Asia and Pacific; Europe and Central Asia; South Asia; West and Central Africa; Eastern and Southern Africa; Middle East and North Africa and Latin America and the Caribbean.Results:A double burden of malnutrition was evident across the world regions reviewed: stunting, thinness, anaemia and other micronutrient deficiencies persisted, alongside rising overweight and obesity prevalence. Transitions towards diets increasingly high in energy-dense, processed and micronutrient-poor foods were observed. Evidence from intervention studies was limited, but suggested that providing multiple micronutrient-fortified foods or beverages at school may effectively target micronutrient deficiencies and facilitate weight gain in undernourished populations. Interventions to prevent or manage overweight and obesity were even more limited. There was minimal evidence of using novel technological approaches to engage school-age children and adolescents, or of involving them in designing interventions.Conclusion:The limited data available on nutrition of school-age children and adolescents are neither standardised nor comparable. Consensus on methods for assessing nutritional status and its determinants for this age group is urgently needed to set targets and monitor progress. Additionally, strategies are required to ensure that nutritious, safe and sustainable diets are available, affordable and appealing.
Chabanon, the Listening Self and the Prosopopoeia of Aesthetic Experience
Authors: Kovaciny Stephen M. 
Published: February 2022

AbstractMichel-Paul Guy de Chabanon (1730–1792), an aesthetician and partisan of Jean-Philippe Rameau's harmonic theories, is most often remembered for his rejection of musical mimesis and for his separation of music and language. In doing so, he advanced one of the first – if not the first – aesthetic theories of musical autonomy. Yet despite this achievement, little has been written about how or why he came to this conclusion. This article provides a long-overdue reconstruction of Chabanon's claims for autonomy while simultaneously resituating him in eighteenth-century musical discourse. Through a sylleptic reading of his writings and the intertexts that underpin them, I show that Chabanon was an insightful critic of the French Enlightenment's aesthetic project. I accomplish this by reconstructing his argument about music's ability to provoke aesthetic experiences within listeners. As I contend, Chabanon's own encounter with this question articulates an aesthetic theory based upon music's materiality, grounded at once through the science of acoustics, novel theories of sensory experience and the musical theories that they engendered. Using his documented experience of Rameau's Pigmalion (1748) as a point of departure, I argue that Chabanon's transformation of musical aesthetics into an autonomous discipline helps to turn the early-modern subject into the modern listening self.