bluuebunny/crossref_metadata_2025_split huggingface dataset:
Model-based cloud service deployment optimisation method for minimisation of application service operational cost
Authors: Stupar Ivana , Huljenic Darko 
Published: February 2023

AbstractMany currently existing cloud cost optimisation solutions are aimed at cloud infrastructure providers, and they often deal only with specific types of application services. Unlike infrastructure providers, the providers of cloud applications are often left without a suitable cost optimisation solution, especially concerning the wide range of different application types. This paper presents an approach that aims to provide an optimisation solution for the providers of applications hosted in the cloud environments, applicable at the early phase of a cloud application lifecycle and for a wide range of application services. The focus of this research is the development of the method for identifying optimised service deployment option in available cloud environments based on the model of the service and its context, intending to minimise the operational cost of the cloud service while fulfilling the requirements defined by the service level agreement. A cloud application context metamodel is proposed that includes parameters related to both the application service and the cloud infrastructure relevant for the cost and quality of service. By using the proposed optimisation method, knowledge is gained about the effects of the cloud application context parameters on the service cost and quality of service, which is then used to determine the optimal service deployment option. The service models are validated using cloud applications deployed in laboratory conditions, and the optimisation method is validated using the simulations based on the proposed cloud application context metamodel. The experimental results based on two cloud application services demonstrate the ability of the proposed approach to provide relevant information about the impact of cloud application context parameters on service cost and quality of service and use this information for reducing service operational cost while preserving the acceptable service quality level. The results indicate the applicability and relevance of the proposed approach for cloud applications in the early service lifecycle phase since application providers can gain valuable insights regarding service deployment decision without acquiring extensive datasets for the analysis.
Medication administration errors in the domain of infusion therapy in intensive care units: a survey study among nurses
Authors: Beaudart Charlotte , Witjes Maureen , Rood Paul , Hiligsmann Mickael 
Published: February 2023

Abstract
Background
Despite extensive research carried out on medication administration errors (MAEs) in the domain of infusion therapy, there is limited knowledge on nurse’s perceptions on the occurrence of MAEs during infusion therapy. Since nurses are responsible for medication preparation and administration in Dutch hospitals, it is vital to understand their perspectives on the risk factors for MAEs.

Aim
The purpose of this study is to investigate the perception of nurses, working in adult ICUs, on the occurrence of MAEs during continuous infusion therapies.

Methods
A digital web-based survey was distributed among 373 ICU nurses working in Dutch hospitals. The survey investigated nurses’ perceptions on the frequency, severity of consequences and preventability of MAEs, factors for the occurrence of MAEs, and infusion pump and smart infusion safety technology.

Results
A total of 300 nurses started to fill out the survey but only 91 of them (30.3%) fully completed it and were included in analyses. Medication-related factors and Care professional-related factors were perceived as the two most important risk categories for the occurrence of MAEs. Important risk factors contributing to the occurrence of MAEs included high patient-nurse ratio, problems in communication between caregivers, frequent staff changes and transfers of care, and no/incorrect dosage/concentration on labels. Drug library was reported as the most important infusion pump feature and both Bar Code Medication Administration (BCMA) and medical device connectivity as the two most important smart infusion safety technologies. Nurses perceived the majority of MAEs as preventable.

Conclusions
Based on ICU nurses' perceptions, the present study suggests that strategies to reduce MAEs in these units should focus on, among other factors, the high patient-to-nurse ratio, problems in communication between nurses, frequent staff changes and transfers of care, and no/incorrect dosage/concentration on drug labels.
Review of "Urban Oases Dutch Hofjes as Hidden Architectural Gems" by Willemijn Wilms Floet
Authors: Khalilnezhad Mohammad Reza , Russo Alessio 
Published: February 2023

Book detailsWillemijn Wilms FloetURBAN OASES Dutch Hofjes as Hidden Architectural Gems.nai010 publishers, 2021.ISBN 978-94-6208-660-9.€ 39.95, paperback (Also available in Dutch and as e-book in English and Dutch).pp. 208, with illustrations (220 full color).
Bohemian sandstone for restoration of cultural heritage sites: 3D microstructure and mass transport properties
Authors: Capek Pavel , Vesely Martin , Svoboda Milos , Remzova Monika , Zouzelka Radek , Kocirik Milan , Brabec Libor , Rathousky Jiri 
Published: February 2023

Abstract
We characterised the microstructure of sandstone from the Msene locality (Czech Republic) by combining X-ray computed micro-tomography, back-scattered electron imaging, chemical composition analysis and textural analysis and gas permeation. Both, 2D and 3D images were commonly processed by linking an anisotropic non-linear diffusion filter and a segmentation method based on power watershed. This approach guaranteed binarised outputs that were almost the same in wide ranges of spatial-filter and power-watershed parameters, i.e., subjective choices of the parameters played the negligible role. The rock pore structure was found to be statistically homogeneous and almost isotropic with perfectly connected pore space. We also partitioned the void and solid phases into either grains or pores and throats, which enabled us to study characteristic sizes and connectivity of partitioned regions. By comparing pore and throat sizes, we demonstrated the significant convergent-divergent nature of the pore space because the throat size covered at most one half of the total surface area per pore (cavity). In addition, we calculated coordination numbers for all pores (cavities) to verify almost perfect connectivity of internal pores with those at the external surface. Effective (macroscopic) transport properties of the reconstructed pore space were simulated and the results were validated by experimentally observing steady state flow of inert gas. These findings appear to be a favorable starting point for future investigation of consolidation procedures. The well-connected pore structure with minimum occurrence of dead-end pores suggests that the consolidation agent is very likely to flood the whole pore space.
A statistical study of convective and dynamic instabilities in the polar upper mesosphere above Tromsø
Authors: Nozawa Satonori , Saito Norihito , Kawahara Takuya , Wada Satoshi , Tsuda Takuo T. , Maeda Sakiho , Takahashi Toru , Fujiwara Hitoshi , Narayanan Viswanathan Lakshmi , Kawabata Tetsuya , Johnsen Magnar G. 
Published: February 2023

AbstractWe have studied the convective (or static) and dynamic instabilities between 80 and 100 km above Tromsø (69.6° N, 19.2° E) using temperature and wind data of 6 min and 1 km resolutions primarily almost over a solar cycle obtained with the sodium lidar at Tromsø. First, we have calculated Brunt–Väisälä frequency (N) for 339 nights obtained from October 2010 to December 2019, and the Richardson number (Ri) for 210 nights obtained between October 2012 to December 2019. Second, using those values (Nand Ri), we have calculated probabilities of the convective instability (N2 < 0) and the dynamic instability (0 ≤ Ri < 0.25) that can be used for proxies for evaluating the atmospheric stability. The probability of the convective instability varies from about 1% to 24% with a mean value of 9%, and that of the dynamic instability varies from 4 to 20% with a mean value of 10%. Third, we have compared these probabilities with the F10.7 index and localK-index. The probability of the convective instability shows a dependence (its correlation coefficient of 0.45) of the geomagnetic activity (localK-index) between 94 and 100 km, suggesting an auroral influence on the atmospheric stability. The probability of the dynamic instability shows a solar cycle dependence (its correlation coefficient being 0.54). The probability of the dynamic instability shows the dependence of the 12 h wave amplitude (meridional and zonal wind components) (C.C. = 0.52). The averaged potential energy of gravity waves shows decrease with height between 81 and 89 km, suggesting that dissipation of gravity waves plays an important role (at least partly) in causing the convective instability below 89 km. The probability of the convective instability at Tromsø appears to be higher than that at middle/low latitudes, while the probability of the dynamic instability is similar to that at middle/low latitudes.Graphical Abstract
Ocean gravity waves generated by the meteotsunami at the Japan Trench following the 2022 Tonga volcanic eruption
Authors: Ho Tung-Cheng , Mori Nobuhito , Yamada Masumi 
Published: February 2023

AbstractThe 2022 eruption of the Hunga Tonga-Hunga Ha'apai volcano excited an atmospheric Lamb wave, which induced a fast-traveling tsunami. This tsunami was driven by the pressure-forced wave traveling at the speed of the Lamb wave and, thus, was much faster than conventional tsunamis. This was the first case in which ocean bottom monitoring systems widely observed an air pressure-induced tsunami. We found that the pressure-forced waves split and generated ocean gravity waves after passing the Japan Trench based on the S-net data. Our simulations show that changes in water depth can amplify or decrease the pressure-forced wave. Simultaneously, an ocean gravity wave is generated due to the conservation of water volume. Because the ocean gravity wave was slower than the pressure-forced wave near Japan, it was separated from, and traveled behind, the pressure-forced wave. We explained the wave separation phenomenon and reproduced the waveforms of different splitting stages observed by the stations near the Japan Trench.
Graphical Abstract
Presenting fabrics in digital environment: fashion designers’ perspectives on communicating tactile qualities of the fabrics
Authors: Jang Shin Young , Ha Jisoo 
Published: February 2023

AbstractThe ongoing COVID-19 pandemic has forced the fashion industry to digitalize the conventional work system. Fashion designers were required to work from home, and textile trade shows were held online. However, fabric suppliers were unable to present their fabrics in a manner that enabled their properties to be easily understood. Visual information, such as photographs, videos, and the brief explanations provided by fabric suppliers were insufficient for fashion designers to comprehend the fabric’s properties. Thus, this research aims to identify the critical information for fashion designers in their digital fabric search and to discover effective ways to present this information. The current state of online tactile information was analyzed by conducting content analysis on several online fabric retailers. Then, semi-structured one-on-one in-depth interviews with 25 fashion designers were conducted to identify the strengths and weaknesses of the existing types of visual and textual information. Results revealed the most effective ways to present fabrics online. Specific guidelines were established for photographing or writing each type of information. Finally, a conceptual framework for fabric tactile communication in digital environments was developed. This study can contribute to the improvement of a designer’s experience in online fabric markets and can be used as a fundamental guide on designer’s tactile perception of fabrics, which can support technologies, such as haptic devices and 3D clothing simulation software.
Association of Early Sports Practice with Cardiovascular Risk Factors in Community-Dwelling Adults: A Retrospective Epidemiological Study
Authors: da Silva Gabriela C. R. , Tebar William R. , Saraiva Bruna T. C. , Farah Breno Q. , Vanderlei Luiz Carlos M. , Ferrari Gerson , Christofaro Diego Giulliano Destro 
Published: February 2023

Abstract
Background
Sports practice in childhood and adolescence has been inversely related to the chances of developing cardiovascular risk factors (CRFs). However, it is not clear whether sports practice in childhood and adolescence could be inversely related to CRF in adult life.

Objectives
This study aimed to analyze the association between early sports practice and cardiovascular risk factors in a randomized sample of community-dwelling adults.

Methods
For this, 265 adults aged ≥ 18 years composed the sample. Cardiovascular risk factors of obesity, central obesity, diabetes, dyslipidemia, and hypertension were collected. Early sports practice was retrospectively self-reported using an appropriate instrument. Total physical activity level was assessed by accelerometry. The association between early sports practice and cardiovascular risk factors in adulthood was analyzed by binary logistic regression, adjusted for sex, age, socioeconomic status, and moderate-to-vigorous physical activity.

Results
Early sports practice was observed in 56.2% of the sample. The prevalence of central obesity (31.5 vs. 50.0%; p = 0.003), diabetes (4.7% vs. 13.7%; p = 0.014), dyslipidemia (10.7% vs. 24.1%; p = 0.005), and hypertension (14.1% vs. 34.5%; p = 0.001) was lower in participants who reported early sports practice. Participants who reported early sports practice in childhood and adolescence were, respectively, 60% (OR = 0.40; 95% CI 0.19–0.82) and 59% (OR = 0.41; 95% CI 0.21–0.82) less likely to have hypertension in adult life when compared to those with no early sports practice, independently of sex, age, socioeconomic status, and habitual physical activity level in adulthood.

Conclusion
Early sports practice in childhood and adolescence was a protective factor for hypertension in adulthood.
Provider perspectives on clinical decision support to improve HIV prevention in pediatric primary care: a multiple methods study
Authors: Pickel Julia , Fiks Alexander G. , Karavite Dean , Maleki Pegah , Beidas Rinad S. , Dowshen Nadia , Petsis Danielle , Gross Robert , Wood Sarah M. 
Published: February 2023

Abstract
Background
Clinical decision support (CDS) is a promising intervention for improving uptake of HIV testing and pre-exposure prophylaxis (PrEP). However, little is known regarding provider perspectives on acceptability, appropriateness, and feasibility of CDS for HIV prevention in pediatric primary care, a key implementation setting.

Methods
This was a cross-sectional multiple methods study utilizing surveys and in-depth interviews with pediatricians to assess acceptability, appropriateness, and feasibility of CDS for HIV prevention, as well as to identify contextual barriers and facilitators to CDS. Qualitative analysis utilized work domain analysis and a deductive coding approach grounded in the Consolidated Framework of Implementation Research. Quantitative and qualitative data were merged to develop an Implementation Research Logic Model to conceptualize implementation determinants, strategies, mechanisms, and outcomes of potential CDS use.

Results
Participants (n = 26) were primarily white (92%), female (88%), and physicians (73%). Using CDS to improve HIV testing and PrEP delivery was perceived as highly acceptable (median score 5), IQR [4–5]), appropriate (5, IQR [4–5]), and feasible (4, IQR [3.75–4.75]) using a 5-point Likert scale. Providers identified confidentiality and time constraints as two key barriers to HIV prevention care spanning every workflow step. With respect to desired CDS features, providers sought interventions that were integrated into the primary care workflow, standardized to promote universal testing yet adaptable to the level of a patient’s HIV risk, and addressed providers’ knowledge gaps and bolstered self-efficacy in providing HIV prevention services.

Conclusions
This multiple methods study indicates that clinical decision support in the pediatric primary care setting may be an acceptable, feasible, and appropriate intervention for improving the reach and equitable delivery of HIV screening and PrEP services. Design considerations for CDS in this setting should include deploying CDS interventions early in the visit workflow and prioritizing standardized but flexible designs.
Indoor positioning using circle expansion-based adaptive trilateration algorithm
Authors: Ibwe Kwame , Pande Simeon , Abdalla Abdi T. , Gadiel Godwin Mruma 
Published: February 2023

AbstractThe increasing availability of mobile devices with wireless communications capabilities has stimulated the growth of indoor positioning services. Indoor positioning is used to locate, in real time, devices’ positions for easy access. The indoor positioning, however, is challenging compared to outdoor positioning due to the large number of obstacles. Global positioning system is ideal for outdoor localization but fails in indoor environments with limited space. Recent development of the Internet of Things (IoT) has brought forth portable and cost-effective wireless technologies that can be used for indoor positioning. In this work, an adaptive trilateration algorithm based on received signal strength indicator (RSSI) was proposed. To assess the positioning accuracy of the proposed algorithm, Bluetooth Low Energy (BLE), Wi-Fi (IEEE 802.11n), ZigBee and LoRaWAN IoT technologies were used. Results show that the error performance is improved by 4% in BLE, 17% in ZigBee, 22% in Wi-Fi and 33% in LoRaWAN when compared to the existing related work.
Drivers of business model innovation in micro and small enterprises: evidence from Egypt as an emerging economy
Authors: ElNaggar Rasha A. A. , ElSayed Mayar Farrag 
Published: February 2023

AbstractDespite its recognition as a resilience strategy, there is a scarcity of research on business model innovation (BMI) in micro and small enterprises in emerging economies. Business model innovation drivers in micro and small enterprises may differ from those in large firms in developed economies. In micro and small businesses, BMI is determined by the dynamic capabilities of the business, as well as the ability of the business owner to reconfigure and exploit its resources in a way that creates market value. This is one of few studies that connects the concepts of social capital and market orientation to explain business model innovation and its consequences in a turbulent business environment. This study investigates the impact of managerial ties, business owner market orientation and perceived environmental uncertainty as drivers to BMI. Also, it investigates the effect of BMI on business performance. The results of analyzing the responses of 426 micro and small enterprises by Smart PLS 3.3 show that business model innovation mediates the relationship between business ties and business performance. Surprisingly, the results proved that micro and small business owners adopting reactive market orientation, contribute to BMI more than those adopting proactive market orientation. The findings emphasize the importance of micro and small business owner in driving BMI. This study ensures that BMI is a function of how resources can be deployed and configured dynamically to generate value.
Uncovering psychiatric phenotypes using unsupervised machine learning: A data-driven symptoms approach
Authors: Hofman Amy , Lier Isabelle , Ikram M. Arfan , van Wingerden Marijn , Luik Annemarie I. 
Published: February 2023

Abstract

Background
Current categorical classification systems of psychiatric diagnoses lead to heterogeneity of symptoms within disorders and common co-occurrence of disorders. We investigated the heterogeneous and overlapping nature of symptom endorsement in a population-based sample across three of the most common categories of psychiatric disorders: depressive disorders, anxiety disorders, and sleep–wake disorders using unsupervised machine learning approaches.

Methods
We assessed a total of 43 symptoms in a discovery sample of 6,602 participants of the population-based Rotterdam Study between 2009 and 2013, and in a replication sample of 3,005 participants between 2016 and 2020. Symptoms were assessed using the Center for Epidemiologic Studies Depression Scale, the Hospital Anxiety and Depression Scale, and the Pittsburgh Sleep Quality Index. Hierarchical clustering analysis was applied on test items and participants to investigate common patterns of symptoms co-occurrence, and further quantitatively investigated with clustering methods to find groups that may represent similar psychiatric phenotypes.

Results
First, clustering analyses of the questionnaire items suggested a three-cluster solution representing clusters of “mixed” symptoms, “depressed affect and nervousness”, and “troubled sleep and interpersonal problems”. A highly similar clustering solution was independently established in the replication sample. Second, four groups of participants could be separated, and these groups scored differently on the item clusters.

Conclusions
We identified three clusters of psychiatric symptoms that most commonly co-occur in a population-based sample. These symptoms clustered stable over samples, but across the topics of depression, anxiety, and poor sleep. We identified four groups of participants that share (sub)clinical symptoms and might benefit from similar prevention or treatment strategies, despite potentially diverging, or lack of, diagnoses.
Statistics of synchronization times in Kuramoto oscillators
Authors: Sinha Abhisek , Ghosh Anandamohan 
Published: February 2023

Abstract
The synchronization of coupled systems is a widely studied phenomenon in nonlinear science. As a completely synchronized state emerges asymptotically, it is pertinent to quantify the statistics of the timescales in which it is attained. We study the Kuramoto model, a paradigmatic model of synchronization, and record the time at which the synchronized state is reached for the first time. The First Synchronization Time (FST), on suitable rescaling, exhibits a universal distribution for a wide range of parameter values and even in the presence of noise. We obtain an approximate time evolution of the order parameter using the celebrated Ott-Antonsen ansatz and analytically demonstrate that the FST exhibits a universal Gumbel distribution.