bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interactive effects of aging and aerobic capacity on energy metabolism–related metabolites of serum, skeletal muscle, and white adipose tissue
Authors: Zhuang Haihui , Karvinen Sira , Törmäkangas Timo , Zhang Xiaobo , Ojanen Xiaowei , Velagapudi Vidya , Alen Markku , Britton Steven L. , Koch Lauren G. , Kainulainen Heikki , Cheng Sulin , Wiklund Petri 
Published: June 2021

AbstractAerobic capacity is a strong predictor of longevity. With aging, aerobic capacity decreases concomitantly with changes in whole body metabolism leading to increased disease risk. To address the role of aerobic capacity, aging, and their interaction on metabolism, we utilized rat models selectively bred for low and high intrinsic aerobic capacity (LCRs/HCRs) and compared the metabolomics of serum, muscle, and white adipose tissue (WAT) at two time points: Young rats were sacrificed at 9 months of age, and old rats were sacrificed at 21 months of age. Targeted and semi-quantitative metabolomics analysis was performed on the ultra-pressure liquid chromatography tandem mass spectrometry (UPLC-MS) platform. The effects of aerobic capacity, aging, and their interaction were studied via regression analysis. Our results showed that high aerobic capacity is associated with an accumulation of isovalerylcarnitine in muscle and serum at rest, which is likely due to more efficient leucine catabolism in muscle. With aging, several amino acids were downregulated in muscle, indicating more efficient amino acid metabolism, whereas in WAT less efficient amino acid metabolism and decreased mitochondrial β-oxidation were observed. Our results further revealed that high aerobic capacity and aging interactively affect lipid metabolism in muscle and WAT, possibly combating unfavorable aging-related changes in whole body metabolism. Our results highlight the significant role of WAT metabolism for healthy aging.
Modelling oscillations in the supply chain: the case of a just-in-sequence supply process from the automotive industry
Authors: Klug Florian 
Published: June 2021

AbstractPervasive and ubiquitous oscillations, mapping the repetitive variation in time of a specific state, are well known as abundant phenomena in research and practice. Motivated by the success of oscillators in the modelling, analysis and control of dynamical systems, we developed a related approach for the dynamic description of supply chains. This paper aims to introduce a generic oscillator model for supply chains by the original application of oscillator equations. Therefore an established oscillator model for deductive modelling of supply chain echelons is used. With the help of coupled van der Pol oscillators, the dynamical interaction of an inventory system is described and applied to a real-life supply process in automotive industry. According to its reductionist approach only two differential equations are used to analyse a Just-in-Sequence supply process in car industry. Based on the fact that any oscillatory state can be reduced to the phase of the oscillation (phase reduction), a phase space map is generated. This compact visual reference of the supply process can act as the quantitative basis for an adaptive control mechanism during its operation. By delaying or accelerating the inventory oscillations of the supplier stock a detuned coupled supply process can be re-synchronised without changing the amplitude. An additional analysis of Hilbert transform is applied to determine the boundaries of phase-locking between the inventory oscillation phases, where the instantaneous phases are bounded. Furthermore parameters of the synchronisation threshold and the transient phases between synchronous and non-synchronous regimes have been investigated, supported by an Arnold tongue representation. The investigations show that with the help of a generic oscillatory model it is possible to measure and quantify phenomena of inventory dynamics in supply chains. Especially the analysis of synchronisation phenomena with the help of phase space and Arnold tongue representations foster developments of performance measurement in supply chain management.
Finding shared meaning in the Anthropocene: engaging diverse perspectives on climate change
Authors: Hochachka Gail 
Published: June 2021

AbstractThe scientific evidence of climate change has never been clearer and more convergent, and calls for transformations to sustainability have never been greater. Yet, perspectives and social opinions about it remain fractured, and collaborative action is faltering. Climate policy seeks to forge a singular sense of climate change, dominated by an ‘information deficit model’ that focuses on transferring climate science to the lay public. Critics argue that this leaves out certain perspectives, including the plurality of meanings uncovered through participatory approaches. However, questions remain about how these approaches can better account for nuances in the psychological complexity of climate change, without getting stuck in the cul-de-sacs of epistemological relativism and post-truth politics. In this paper, I explore an approach through which we might find shared meaning at the interface of individual and collective views about climate change. I first present a conceptual framework that describes five psychological reasons why climate change challenges individual and collective meaning-making, and also provides a way to understand how meaning is organized within that. I then use this framework to inform the use of photo voice as a transformative (action-research) method, examining its ability to overcome some of the meaning-making challenges specific to climate change. I discuss how participants from a coffee cooperative in Guatemala reflected first on their own climate meanings and then engaged in a meaning-making process with other actors in the coffee value chain. Findings suggest a psychosocial approach to climate engagement—one that engages both subjectively and intersubjectively on the complexities unique to climate change—is helpful in acknowledging an ontological pluralism of ‘climate changes’ amongst individuals, while also supporting a nexus-agreement collectively. This may in turn contribute to a more effective and ethical process of transformation.
Perioperative respiratory adverse events during ambulatory anesthesia in obese children
Authors: Marjanovic Vesna , Budic Ivana , Golubovic Mladjan , Breschan Christian 
Published: June 2021

AbstractObesity is one of the most common clinical conditions in the pediatric population with an increasing prevalence ranging from 20 to 30% worldwide. It is well known that during ambulatory anesthesia, obese children are more prone to develop perioperative respiratory adverse events (PRAEs) associated with obesity. To avoid or at least minimize these adverse effects, a thorough preoperative assessment should be undertaken as well as consideration of specific anesthetic approaches such as preoxygenation before induction of anesthesia and optimizing drug dosing. The use of short-acting opioid and nonopioid analgesics and the frequent implementation of regional anesthesia should also be included. Noninvasive airway management, protective mechanical ventilation, and complete reversion of neuromuscular blockade and awake extubation also proved to be beneficial in preventing PRAEs. During the postoperative period, continuous monitoring of oxygenation and ventilation is mandatory in obese children. In the current review, we sought to provide recommendations that might help to reduce the severity of perioperative respiratory adverse events in obese children, which could be of particular importance for reducing the rate of unplanned hospitalizations and ultimately improving the overall postoperative recovery.
Assessment of the attitude towards childbirth in health sciences students - development and validation of the questionnaire Cave-St
Authors: González-Mesa Ernesto , Rengel-Díaz Cristóbal , Riklikiene Olga , Thomson Gilliam , Cazorla-Granados Olga , Abreu Wilson , Morgado-Neves Dulce , Gökçe Isbir Gözde , Jonsdottir Sigríður Sia , Karlsdóttir Sigfríður Inga , Lalor Joan 
Published: June 2021

AbstractThe purpose of this study is to report on the validation process of a questionnaire that explores health science students’ attitudes towards women’s childbirth experiences. This questionnaire can help inform education programs to enhance the quality of woman-professional interactions, and to improve women’s experiences of childbirth. A standardized procedure for the development and validation of the questionnaire included: item development and psychometric pre-validation, Cronbach’s Alpha coefficient calculation, test–retest and item-total correlation for the reliability analysis. Content validity was undertaken by Delphi method with sixteen panelists over two rounds. We determined the factor structure and refined and validated the questionnaire according to the responses of a cohort of 560 students using principal components factor analysis with varimax rotation. Confirmatory factor analysis was undertaken. A 52-items questionnaire CAVE-st: (acronym for cuestionario de actitudes sobre vivencias y experiencias en el parto) was developed and validated. The results of the factor analysis finally revealed four latent dimensions. The questionnaire CAVE-st is a valid and reliable tool to assess health science students’ attitude towards women’s childbirth experiences. Further work to translate and adapt the instrument in other cultures and languages will be undertaken.
Contextual effects on smile perception and recognition memory
Authors: Krumhuber Eva G. , Hyniewska Sylwia , Orlowska Anna 
Published: June 2021

AbstractMost past research has focused on the role played by social context information in emotion classification, such as whether a display is perceived as belonging to one emotion category or another. The current study aims to investigate whether the effect of context extends to the interpretation of emotion displays, i.e. smiles that could be judged either as posed or spontaneous readouts of underlying positive emotion. A between-subjects design (N = 93) was used to investigate the perception and recall of posed smiles, presented together with a happy or polite social context scenario. Results showed that smiles seen in a happy context were judged as more spontaneous than the same smiles presented in a polite context. Also, smiles were misremembered as having more of the physical attributes (i.e., Duchenne marker) associated with spontaneous enjoyment when they appeared in the happy than polite context condition. Together, these findings indicate that social context information is routinely encoded during emotion perception, thereby shaping the interpretation and recognition memory of facial expressions.
Evaluating the groundwater quality of Damodar Fan Delta (India) using fuzzy-AHP MCDM technique
Authors: Mahammad Sadik , Islam Aznarul 
Published: June 2021

AbstractIn recent years, groundwater pollution has become increasingly a serious environmental problem throughout the world due to increasing dependency on it for various purposes. The Damodar Fan Delta is one of the agriculture-dominated areas in West Bengal especially for rice cultivation and it has a serious constraint regarding groundwater quantity and quality. The present study aims to evaluate the groundwater quality parameters and spatial variation of groundwater quality index (GWQI) for 2019 using the fuzzy analytic hierarchy process (FAHP) method. The 12 water quality parameters such as pH, TDS, iron (Fe−) and fluoride (F−), major anions (SO42−, Cl−, NO3−, and HCO3−), and cations (Na+, Ca2+, Mg2+, and K+) for the 29 sample wells of the study area were used for constructing the GWQI. This study used the FAHP method to define the weights of the different parameters for the GWQI. The results reveal that the bicarbonate content of 51% of sample wells exceeds the acceptable limit of drinking water, which is maximum in the study area. Furthermore, higher concentrations of TDS, pH, fluoride, chloride, calcium, magnesium, and sodium are found in few locations while nitrate and sulfate contents of all sample wells fall under the acceptable limits. The result shows that 13.79% of the samples are excellent, 68.97% of the samples are very good, 13.79% of the samples are poor, and 3.45% of the samples are very poor for drinking purposes. Moreover, it is observed that very poor quality water samples are located in the eastern part and the poor water wells are located in the northwestern and eastern part while excellent water quality wells are located in the western and central part of the study area. The understanding of the groundwater quality can help the policymakers for the proper management of water resources in the study area.
Monitoring and investigating dust phenomenon on using remote sensing science, geographical information system and statistical methods
Authors: Abdollahi Sara , Madadi Meysam , Ostad-Ali-Askari Kaveh 
Published: June 2021

AbstractDust is a phenomenon occurring in most parts of the world causing financial loss and adverse environmental effects and impacts. Many parameters are involved in dust phenomenon occurrence, some of which are natural and some of them are due to human processes and their influence on the environment. Monitoring the environmental changes can be worthwhile and efficient procrastination the occurrence of this phenomenon. In this research, we scrutinized the Persian and English database in a structured way using dust keywords, heavy metals, remote sensing, geographical information systems and statistical methods. Articles taking into consideration these three fields were retrieved, analyzed descriptively and reported. In accordance with this methodology, the study was conducted in a period from 1992 to 2016. Findings: Among the methods used, the method of interpolation, zoning of dust and their distribution with GIS is more applicable, and among satellite images, MODIS images are the most applicable ones. The results obtained from this study indicated that statistical methods, remote sensing and geographical information system are among effective tools in studying germane researches done on dust monitoring and detection.
Eco-hydrologic stability zonation of dams and power plants using the combined models of SMCE and CEQUALW2
Authors: Fatahi Nafchi Rouhallah , Yaghoobi Pardis , Reaisi Vanani Hamid , Ostad‑Ali‑Askari Kaveh , Nouri Jafar , Maghsoudlou Bizhan 
Published: June 2021

AbstractConstruction of dams has a significant impact on hydrological conditions of rivers. Eco-hydrology, as a sub-discipline of hydrology, focusses on ecological processes occurring within the hydrological cycle and strives to utilize them for enhancing the environmental sustainability. The aim of this study was to determine the stable and instable eco-hydrologic regions in the study area. First, the factors affecting the eco-hydrologic stability were selected according to field surveys. Afterwards, the layers related to each factor were prepared in geographic information system (GIS) and ArcGIS 10 software. These factors were also weighted using the analytic hierarchy process and pairwise comparisons. Ultimately, the final map was prepared by integrating and determining the homogenous units. The CEQUALW2 software, as a water quality and hydrodynamic model, was used to confirm the accuracy of the quality data and to perform the water quality simulation in the studied dam. According to the results, pollutant source and water quality were found to be the most important factors. The final map indicated that most of the areas had not a suitable condition in terms of stability at the downstream reaches.
Release of toxic methylene blue from water by mesoporous silicalite-1: characterization, kinetics and isotherm studies
Authors: Radoor Sabarish , Karayil Jasila , Jayakumar Aswathy , Parameswaranpillai Jyotishkumar , Siengchin Suchart 
Published: June 2021

AbstractIn the present work, we have developed a mesoporous silicalite-1 using CMC as a template for the removal of MB from aqueous solution. The synthesized silicalite-1 were characterized using scanning electron microscopy (SEM), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), thermogravimetric analysis (TGA), Energy-dispersive X-ray spectroscopy (EDAX) and N2 adsorption–desorption isotherm (BET). XRD and FT-IR analysis confirmed the formation of crystallinity and development of MFI structure in the mesoporous silicalite-1. The adsorption of MB dye on mesoporous silicalite-1 was conducted by batch adsorption method. The effect of various parameters such as adsorbent dosage, initial dye concentration, contact time and temperature on the dye uptake ability of silicalite-1 was investigated. The operating parameters for the maximum adsorption are silicalite-1 dosage (0.1 wt%), contact time (240 min), initial dye concentration (10 ppm) and temperature (30 ℃). The MB dye removal onto mesoporous silicalite-1 followed pseudo-second-order kinetic and Freundlich isotherm. The silicalite-1 exhibits 86% removal efficiency even after six adsorption–desorption cycle. Therefore, the developed mesoporous silicalite-1 is an effective eco-friendly adsorbent for MB dye removal from aqueous environment.
Gravitricity based on solar and gravity energy storage for residential applications
Authors: Bowoto Oluwole K. , Emenuvwe Omonigho P. , Azadani Meysam N. 
Published: June 2021

AbstractThis study proposes a design model for conserving and utilizing energy affordably and intermittently considering the wind rush experienced in the patronage of renewable energy sources for cheaper generation of electricity and the solar energy potential especially in continents of Africa and Asia. Essentially, the global quest for sustainable development across every sector is on the rise; hence, the need for a sustainable method of extracting energy cheaply with less wastage and pollution is on the priority list. This research, integrates and formulates different ideologies, factors and variables that have been adopted in previous research studies to create an efficient system. Some of the aforementioned researches includes pumped hydro gravity storage system, Compressed air gravity storage system, suspended weight in abandoned mine shaft, dynamic modelling of gravity energy storage coupled with a PV energy plant and deep ocean gravity energy storage. As an alternative and a modification to these systems, this research is proposing a Combined solar and gravity energy storage system. The design synthesis and computational modelling of the proposed system model were investigated using a constant height and but varying mass. Efficiencies reaching up to 62% was achieved using the chosen design experimental parameters adopted in this work. However, this efficiency can be tremendously improved upon if the design parameters are modified putting certain key factors which are highlighted in the limitation aspect of this research into consideration. Also, it was observed that for a test load of 50 × 103 mA running for 10 h (3600 s), the proposed system will only need to provide a torque of 3.27Nm and a height range of 66.1 × 104 m when a mass of 10 kg is lifted to give out power of 48 kwh. Since gravity storage requires intermittent actions and structured motions, mathematical models were used to analyse the system performance characteristics amongst other important parameters using tools like MATLAB Simscape modelling toolbox, Microsoft excel and Sysml Model software.
Treatment of dental plaque biofilms using photodynamic therapy: a randomised controlled study
Authors: Alsaif A. , Tahmassebi J. F. , Wood S. R. 
Published: June 2021

Abstract
Introduction
Photodynamic therapy (PDT) is a treatment modality involving a dye that is activated by exposure to light of a specific wavelength in the presence of oxygen to form oxygen species causing localised damage to microorganisms.

Aim
To determine the most effective bactericidal incubation and irradiation times of erythrosine-based PDT on in vivo-formed dental plaque biofilms.

Methods
A randomised controlled study; 18-healthy adult participants wearing intraoral appliances with human enamel slabs to collect dental plaque samples in two separate periods of two weeks each for use in arm-1 and arm-2. These accumulated dental plaque samples were treated with PDT under different experimental conditions. Incubation times with photosensitiser (erythrosine) of 15 min and 2 min were used in arm-1 and arm-2, respectively, followed by light irradiation for either 15 min (continuous) or as a fractionated dose (5 × 30 sec). Following treatment, percentage reductions of total bacterial counts were compared between the different groups. In addition, confocal laser scanning microscopy (CLSM) and LIVE/DEAD® BacLight™ Bacterial Viability Kit were used to visualise the effect of PDT on in vivo-formed biofilms.

Results
Significant reductions in the percentage of total bacterial counts (~93–95%) of in vivo-formed biofilms were found when using either 2 min or 15min incubation times and applying 15 min continuous light. Although when applying fractionated light, there was more cell death when 15 min incubation time was used (~ 91%) compared with the 2 min incubation time (~ 64%). CLSM results supported these findings.

Conclusion
Improving the clinical usefulness of PDT by reducing its overall treatment time seems to be promising and effective in killing in vivo-formed dental plaque biofilms.
Apps to Teach Social Skills to Individuals with Autism Spectrum Disorder: A Review of the Embedded Behaviour Change Procedures
Authors: Hanna Nicole , Lydon Helena , Holloway Jennifer , Barry Lorna , Walsh Edith 
Published: June 2021

AbstractSocial skill interventions have become increasingly popular in recent times, as well as the use of technology to deliver and aid interventions for the autism spectrum disorder (ASD) population. Little research exists on the use of apps to teach social skills to individuals with ASD, in particular the behaviour change procedures that exist within apps. The current review examines the behaviour change procedures that exist within apps according to the Behavior Analyst Certification Board Task List, 5th Edition. A total of 15 apps were included within this review. Results indicate that a variety of behaviour change procedures exist within apps. However, the quality of apps and the number of behaviour change procedures vary across app developers.
Investigation into gas lubrication performance of porous gas bearing considering velocity slip boundary condition
Authors: Zhang Xiangbo , Ding Shuiting , Du Farong , Ji Fenzhu , Xu Zheng , Liu Jiang , Zhang Qi , Zhou Yu 
Published: June 2021

AbstractPorous gas bearings (PGBs) have a proactive application in aerospace and turbomachinery. This study investigates the gas lubrication performance of a PGB with the condition of velocity slip boundary (VSB) owing to the high Knudsen number in the gas film. The Darcy-Forchheimer laws and modified Navier-Stokes equations were adopted to describe the gas flow in the porous layer and gas film region, respectively. An improved bearing experimental platform was established to verify the accuracy of the derived theory and the reliability of the numerical analysis. The effects of various parameters on the pressure distribution, flow cycle, load capacity, mass flow rate, and velocity profile are demonstrated and discussed. The results show that the gas can flow in both directions, from the porous layer to the gas film region, or in reverse. The load capacity of the PGB increases with an increase in speed and inlet pressure and decreases with an increase in permeability. The mass flow rate increases as the inlet pressure and permeability increase. Furthermore, the simulation results using VSB are in agreement with the experimental results, with an average error of 3.4%, which indicates that the model using VSB achieves a high accuracy. The simulation results ignoring the VSB overrate the load capacity by 16.42% and undervalue the mass flow rate by 11.29%. This study may aid in understanding the gas lubrication mechanism in PGBs and the development of novel gas lubricants.