bluuebunny/crossref_metadata_2025_split huggingface dataset:
Geospatial analysis of the global growth of community psychology: Geographic proximity and socioeconomic and political indicators
Authors: Ozgurer Mehmet Reha , Perkins Douglas D. 
Published: April 2021

AbstractData on 105 countries from the Global Development of Applied Community Studies project and a geographic information system (ArcGIS) were used to map and identify spatial patterns in the international growth of community psychology, as measured by professional associations and conferences, graduate and undergraduate programs and courses, and publications. Our primary aim was to analyze the field's global development, emphasizing professional training and research products, in the context of geographic proximity and theories of knowledge transfer and knowledge spillover. The results of Hot Spot Analysis and Cluster and Outlier Analysis spatially confirmed our hypothesis, revealing statistically significant hot spots of the strength of community psychology in the countries sharing borders. Hierarchical regression analysis found that the strength of community psychology in neighboring countries significantly predicted the development of community psychology beyond the influence of population size, Human Development Index, freedom score, and a history of grassroots activism. Implications for theory, research, and international professional and student exchanges are discussed.
Nano‐chitosan as an antimicrobial agent in preservative solutions for cut flowers
Authors: Spricigo Poliana C , Pilon Lucimeire , Trento Jéssica P , de Moura Márcia R , Bonfim Kely S , Mitsuyuki Milene C , Mattoso Luiz H C , Ferreira Marcos D 
Published: April 2021

AbstractBACKGROUNDCut flowers require proper postharvest stem hydration to prolong vase life. Nano‐sized chitosan is an effective antimicrobial agent that has several potential agricultural applications. In this study, we compared the efficacies of solutions containing chitosan nanoparticles, regular chitosan particles, citric acid, and distilled and tap water controls in treating cut gerbera inflorescences during postharvest storage. Relative water uptake (RWU), transpiration rate (TR), water balance (WB), ligule color, solution pH, stem bending, stem‐end blockage, and counts of bacteria, mold and yeast were investigated.RESULTSThe solution containing chitosan nanoparticles prevented stem bending, enabled higher RWU (41.8 g kg−1 day−1), established a suitable WB, and controlled microbial growth more efficiently than the other solutions. The chitosan nanoparticle solution strongly inhibited molds and yeasts.CONCLUSIONThe results of this study demonstrated that nano‐chitosan is a promising postharvest preservative for cut gerbera inflorescences. © 2021 Society of Chemical Industry (SCI).
Decompositions of Taylor diagram and DISO performance criteria
Authors: Zhou Qiming , Chen Deliang , Hu Zengyun , Chen Xi 
Published: April 2021

AbstractTaylor diagram has been frequently used to evaluate climate or hydrology models or data. A Taylor diagram summarizes three frequently used metrics including correlation coefficient (CC), standard deviation (STD), and centred root mean square error (RMSEc). Although these three metrics are relevant metrics for some applications, in some cases, additional indicators are needed, which calls for a new method. This study firstly addressed the short comments about the distance between indices of simulation and observation (DISO) described in a previous study. Secondly, the number of statistical metrics of DISO is extended from 3 to more than 3. The statistical metrics of the expanded DISO are more flexible than the Taylor diagram which uses the three fixed metrics. Thirdly, the current work compares the Taylor diagram with the expanded DISO in terms of their theoretical bases, revealing the advantage of DISO in terms of its flexibility in the selection of different types of metrics, and its suitability as an effective single metric to express a model's or dataset's overall quality. The power and flexibility of the expanded DISO are discussed.
A time in motion study of impact of robotics on medication supply in an Australian hospital pharmacy
Authors: Hogan Jane M. , Grant Gary , Kelly Fiona S. , O’Hare Jennie R. 
Published: April 2021

AbstractBackgroundPharmacy robotics have been implemented globally to create medication management efficiencies. However, translation to the Australian public hospital environment has not been evaluated.AimTo evaluate the impact of introducing robotics in an Australian public hospital on pharmacy imprest and dispensary tasks.MethodA single‐centred, prospective, longitudinal time in motion study was conducted in an Australian tertiary public hospital using mixed methods during robot implementation (phase 1, May 2016) and 15 months later (phase 2, August 2017). Time‐stamped video footage of dispensary activities was collected, observed and analysed; Fitbit Zip® anonymously tracked pharmacy assistant movement. Dispensing software (iPharmacy®) provided the location of stocked medication and electronic tracking databases provided imprest turnaround times (ethics approval: HREC/16/QGC/66, HREC/17/QGC/18).ResultsMedication stored in the robot was limited to 46% (n = 20 771 full packs) of total pharmacy holdings (n = 45 437 full packs). At baseline, 774 orders were received in the dispensary over five days increasing by 13% to 887 in phase 2 (p < 0.01). Dispensary workload increased, staff levels remained constant and movement was reduced. However, there were no significant changes to dispensing rates and turnaround times.ConclusionPharmacy robotics has the potential to absorb increased workload and reduce staff movement in the dispensary when staffing levels remain constant. However, turnaround times alone are too simplistic as a sole measure of benefits of robotics in Australian public hospital pharmacy.
Ultra‐rapid capillary zone electrophoresis method for simultaneous determination of arginine and ibuprofen
Authors: do Prado Aliceana Almeida , Ribeiro Michelle Miranda Araújo Carvalho , Richter Eduardo Mathias 
Published: April 2021

AbstractThe combination of arginine and ibuprofen is widely used for pain relief with a faster onset of action than conventional ibuprofen. Therefore, the determination of both compounds in a single run is highly desirable for rapid quality control applications. This paper reports an ultra‐fast method (100 injections/h) for simultaneous determination of arginine and ibuprofen using capillary electrophoresis with capacitively coupled contactless conductivity detection. The separation of arginine as cation and ibuprofen as anion was achieved using a background electrolyte composed by an equimolar mixture of 10 mmol/L of 2‐(cyclohexylamino) ethanesulfonic acid and boric acid with pH adjusted to 8.4 using potassium hydroxide. The limits of detections were 5.3 and 10.0 μmol/L for arginine and ibuprofen, respectively. The proposed method is simple, fast (one analysis every 35 s), environmentally friendly (minimal waste generation) and accurate (recovery values between 95 and 98%).
Prediction of Speech, Swallowing, and Quality of Life in Oral Cavity Cancer Patients: A Pilot Study
Authors: Bulbul Mustafa G. , Wu Michael , Lin Derrick , Emerick Kevin , Deschler Daniel , Richmon Jeremy , Goldsmith Tessa , Zenga Joseph , Puram Sidharth V. , Varvares Mark A. 
Published: April 2021

Objectives/HypothesisTo investigate the impact of specific treatment‐related variables on functional and quality of life outcomes in oral cavity cancer (OCC) patients.Study DesignRetrospective Cohort.MethodsPatients with primary OCC at least 6 months after resection and adjuvant therapy were included. Patients completed surveys including the Speech Handicap Index (SHI), M.D. Anderson Dysphagia Inventory (MDADI), and Functional Assessment of Cancer Therapy‐Head and Neck (FACT‐HN). Performance Status Scale (PSS) and tongue mobility scale were completed to allow provider‐rated assessment of speech and tongue mobility, respectively. Additional details regarding treatment were also collected. These data were used to generate a predictive model using linear regression.ResultsFifty‐three patients with oral tongue and/or floor of mouth (FOM) resection were included in our study. In multivariable analysis, greater postoperative tongue range of motion (ROM) and time since treatment improved SHI. Flap reconstruction and greater postoperative tongue ROM increased MDADI and PSS (eating and speech). A larger volume of resected tissue was inversely correlated with PSS (diet and speech). Tumor site was an important predictor of PSS (all sections). There were no statistically significant predictors of FACT‐HN.ConclusionsIn this pilot study, we propose a battery of tools to assess function in OCC patients treated with surgery. Using the battery of tools we propose, our results show that a surgical endpoint that preserves tongue mobility and employs flap reconstruction resulted in better outcomes, whereas those with greater volume of tissue resected and FOM involvement resulted in poorer outcomes. Larger prospective studies are needed to validate our findings.Level of Evidence3 Laryngoscope, 131:2497–2504, 2021
How smart experiences build service loyalty: The importance of consumer love for smart voice assistants
Authors: Hernandez‐Ortega Blanca , Ferreira Ivani 
Published: April 2021

AbstractSmart voice assistants (SVAs) have emerged as new artificial intelligence service platforms. They have the capacity to act like actual human assistants and modify traditional forms of human–computer interactions. So, consumers relate to their SVA as though it was a person, despite knowing that they are interacting with a machine. Based on the stimulus‐organism‐response framework, this paper examines feelings of love that consumers develop for SVAs when they are interacting. It proposes that these feelings act as the psychological mechanism to transmit the effect of consumers' experiences with the technology (i.e., smart experiences) on their service loyalty. Feelings of love are conceptualized following the triangular theory of love that considers three components: passion, intimacy, and commitment. Service loyalty refers to consumers' intentions to continue using SVAs in the future and to recommend SVAs to other people through physical and/or electronic word of mouth communication. The results show that smart experiences influence consumers' passion for technology, while passion explains their intimacy and commitment. Consumer intimacy and commitment for SVAs lead to service loyalty. Therefore, this paper contributes to research focusing on the importance of consumers' feelings for SVAs and shedding light on the process that drives to service loyalty.
Non‐syndromic thoracic aortic aneurysm: cellular and molecular insights
Authors: Martin‐Blazquez Ariadna , Heredero Angeles , Aldamiz‐Echevarria Gonzalo , Martin‐Lorenzo Marta , Alvarez‐Llamas Gloria 
Published: April 2021

AbstractThoracic aortic aneurysm (TAA) develops silently and asymptomatically and is a major cause of mortality. TAA prevalence is greatly underestimated, it is usually diagnosed incidentally, and its treatment consists mainly of prophylactic surgery based on the aortic diameter. The lack of effective drugs and biological markers to identify and stratify TAAs by risk before visible symptoms results from scant knowledge of its pathophysiological mechanisms. Here we integrate the structural impairment affecting non‐syndromic non‐familial TAA with the main cellular and molecular changes described so far and consider how these changes are interconnected through specific pathways. The ultimate goal is to define much‐needed novel markers of TAA, and so the potential of previously identified molecules to aid in early diagnosis/prognosis is also discussed. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.
Reducing classroom transition time using a music‐infused video modeling intervention
Authors: Mercurio Melyssa A. , Schmitt Ara J. , Loftus‐Rattan Susan M. , McCallum Elizabeth 
Published: April 2021

AbstractThis study sought to reduce the within classroom transition time of eight students with autism spectrum disorder (ASD). For the first known time in an experimental study, music (song) was deliberately used within a video modeling intervention to reduce the time taken for all students to transition from a daily morning meeting to learning centers. An A‐B‐A‐B withdrawal with follow‐up design was used to measure intervention effects. Results indicate that the intervention effectively reduced student transition time given that no overlapping data points were present between the baseline phases and then intervention and maintenance phases. Study conclusions are provided, as well as implications for practice and study limitations. Future researchers are encouraged to conduct a component analysis to establish the differential effects of the visual versus the musical component of the intervention.
Monitoring therapeutic processes using risk‐adjusted multivariate Tukey's CUSUM control chart
Authors: Kazemi Sina , Noorossana Rassoul , Rasouli Mohammad , Nayebpour Mohamad R. , Heidari Kamran 
Published: April 2021

AbstractUsing control charts for monitoring therapeutic processes has become popular lately. As the application of traditional control charts in the therapeutic processes may be misleading due to the inherent differences between patients, a multifactor correlated risk measure is considered in monitoring of these processes. Therefore, using risk‐adjusted control charts for monitoring the therapeutic processes is of interest to practitioners. Furthermore, in health care monitoring, statistical models should account for abnormal distributions and outlier data to minimize misinterpretations of monitoring schemes. This study proposes a risk‐adjusted multivariate Tukey's cumulative sum (RA‐MTCUSUM) control chart. The proposed method is a combination of the accelerated failure time (AFT) regression model, the Tukey's control chart (TCC) featuring robustness against abnormality, and the multivariate cumulative sum (MCUSUM) control chart for monitoring multivariable process. Simulation experiments are performed to evaluate the performance of the proposed control chart using the average run length (ARL) measure. Results show that the RA‐MTCUSUM control chart has better performance in comparison with traditional ones for monitoring various distributions (normal and non‐normal). Based on the simulation results, outlier data do not disturb the proposed control chart's performance. Moreover, applying the RA‐MTCUSUM control chart to a real‐world dataset related to sepsis patients of a hospital located in Tehran, Iran indicates that the control chart has more reasonable performance than the traditional control charts in the real applications due to its robustness.
Salivirus infection: Systematic review and meta‐analysis of association with gastrointestinal symptoms in children
Authors: Kesheh Mina Mobini , Khatami Alireza , Saadati Hassan , Jabbari Mahdi , Razizadeh Mohammad Hossein , Fatemipour Maryam , Ghorbani Saied , Soleimani Alireza 
Published: April 2021

SummarySalivirus (SaV) is a newly described member of the family Picornaviridae that has been associated with gastrointestinal (GI) symptoms, particularly in children. The aim of the present study was to evaluate the prevalence of SaV in symptomatic children and its potential association with GI complications. A systematic search was conducted from 01 December 2009 to 10 December 2020, in three major English databases, including Scopus, PubMed and Web of Science as well as Google scholar search engine. Random effect model‐based overall prevalence and odds ratio (OR) were assessed in cross‐sectional and case‐control studies by STATA 14.1. The random effect model‐based pooled prevalence of SaV was 1.6% (95% CI, 0.010–0.022%) and overall OR for all eight case‐control studies indicated an association (3.19 with 95% confidence interval 1.35–7.57) that was not statistically significant, due to the small number of studies available. More comprehensive case‐control studies in multiple geographies should be conducted on the prevalence of SaV in children.
Modular Platform for Synthesis of Poly(Ionic Liquid) Electrolytes for Electrochemical Applications in Supercapacitors
Authors: Kalinova Radostina , Dimitrov Ivaylo , Novakov Christo , Veleva Svetlana , Stoyanova Antonia 
Published: April 2021

AbstractPyrrolidinium based poly(ionic liquids) (PIL) are successfully obtained and characterized. Special attention is paid to the detailed characterization of the polymer products to determine their molecular‐mass characteristics and to establish the composition‐property relationship when selecting polymer electrolytes suitable for electrochemical tests. Characterization is performed using: chromatographic methods‐combined gel permeation chromatography (GPC) with triple detection‐refractometry, UV and laser light scattering; spectroscopy methods‐Fourier transform infrared (FTIR), proton (1H) NMR spectroscopy; thermogravimetric analysis (TGA) and TGA/gas chromatography (GC)/mass selective detection (MSD). Supercapacitors based on commercial activated carbon, with electrolyte containing PIL dissolved in dimethylformamide (DMF) have been developed and preliminary charge/discharge galvanostatic tests in a two‐electrode supercapacitor cell as well as an assessment of electrodes material and its stability in the polymeric ionic electrolyte were conducted. The PIL supercapacitor demonstrates stable capacitance characteristics and is promising for further studies in this direction.
3D Porous Bi2‐xGdxWO6/rGO Composite for Efficient Adsorption‐Enrichment and Photocatalytic Degradation of Organic Dyes
Authors: Zhan Weiwu , Wu Zhifeng , Tang Yanren , Ding Yu , Ma Cheng , Ding Xute , Chen Dianyu 
Published: April 2021

AbstractBi2‐xGdxWO6/rGO was prepared by a two‐step process. Firstly, Bi2−xGdxWO6 (BGWO‐x) nanomaterials were synthesized via a hydrothermal method, and then BGWO‐x was homogenously implanted as a filler into the rGO nanosheets to obtain a novel 3D porous composite. The physical‐chemical properties were investigated by X‐ray diffraction, UV‐vis diffuse reflectance spectroscopy, scanning electron microscopy, transmission electron microscopy, energy dispersive spectrometry, photoluminescence spectroscopy, X‐ray photoelectron spectroscopy and N2 adsorption‐desorption isotherm analysis. The photocatalytic activity of samples was envaulted by degrading three organic dyes (rhodamine B (Rh B), methyl orange (MO), and methylene blue (MB)) under visible‐light irradiation (300 W mercury lamp). Doping of Gd 3+ ions could reduce the bandgap of Bi2WO6, thus improving its light absorption range. The BGWO‐0.25 with the best photocatalytic performance was selected to construct the BGWO‐0.25/rGO (BGWO/G) nanocomposite, which exhibited the excellent synergistic effect of adsorption‐enrichment and photocatalytic degradation. The removal rates of Rh B, MB, and MO by BGWO/G were about 1.96, 2.94, 2.82 times as that of the pure Bi2WO6. And the proposed mechanism of photocatalytic degradation was deduced, in which the photo‐generated O2.− and h+ (active species on the surface of BGWO/G) played the roles of active species during the reaction.
Facile Synthesis of Green Fluorescent Carbon Dots and Application for Iron (III) Detection, Patterning and Cell Imaging
Authors: Bi Xiaoyan , Hou Xiaoyu , Zhang Xueyun , Liu Wen , Ren Guodong , Xu Shuming , Wang Haojiang , Wei Wenlong 
Published: April 2021

AbstractCarbon dots (CDs) as a novel type of nanomaterials have attracted significant attention in various scientific communities because of their excellent fluorescence. Herein, green fluorescent CDs (G‐CDs) were obtained using one‐pot hydrothermal treatment of Lonicera maackii fruit and exhibited excellent fluorescence characteristic and good bio‐compatibility. The as‐synthesized G‐CDs displayed strong green fluorescence, which was specifically quenched by Fe3+. And we develop a method for excellent sensitive and selective detection of Fe3+ with a linear range of 0.1–10 μM and a limit of detection of 0.08 μM. The method was further extended to measure the concentration of Fe3+ in actual water samples which the result is satisfactory. The synthesized G‐CDs were applied for drawing fluorescent patterns, which may be used for anti‐counterfeit. Finally, the prepared G‐CDs were used in cell imaging and detection of Fe3+ in live cells.
A Gas‐Phase Migration Strategy to Synthesize Atomically Dispersed Mn‐N‐C Catalysts for Zn–Air Batteries
Authors: Zhou Qingyan , Cai Jiajun , Zhang Zhen , Gao Rui , Chen Bo , Wen Guobin , Zhao Lei , Deng Yaping , Dou Haozhen , Gong Xiaofei , Zhang Yunlong , Hu Yongfeng , Yu Aiping , Sui Xulei , Wang Zhenbo , Chen Zhongwei 
Published: April 2021

AbstractMn and N codoped carbon materials are proposed as one of the most promising catalysts for the oxygen reduction reaction (ORR) but still confront a lot of challenges to replace Pt. Herein, a novel gas‐phase migration strategy is developed for the scale synthesis of atomically dispersed Mn and N codoped carbon materials (g‐SA‐Mn) as highly effective ORR catalysts. Porous zeolitic imidazolate frameworks serve as the appropriate support for the trapping and anchoring of Mn‐containing gaseous species and the synchronous high‐temperature pyrolysis process results in the generation of atomically dispersed Mn‐Nx active sites. Compared to the traditional liquid phase synthesis method, this unique strategy significantly increases the Mn loading and enables homogeneous dispersion of Mn atoms to promote the exposure of Mn‐Nx active sites. The developed g‐SA‐Mn‐900 catalyst exhibits excellent ORR performance in the alkaline media, including a high half‐wave potential (0.90 V vs reversible hydrogen electrode), satisfactory durability, and good catalytic selectivity. In the practical application, the Zn–air battery assembled with g‐SA‐Mn‐900 catalysts shows high power density and prominent durability during the discharge process, outperforming the commercial Pt/C benchmark. Such a gas‐phase synthetic methodology offers an appealing and instructive guide for the logical synthesis of atomically dispersed catalysts.
Tailoring the Structure of Low‐Dimensional Halide Perovskite through a Room Temperature Solution Process: Role of Ligands
Authors: Yoo Young‐Taek , Heo Do Yeon , Bae Sa‐Rang , Park Jinwoo , Lee Tae‐Woo , Jang Ho Won , Ahn Sang Hyun , Kim Soo Young 
Published: April 2021

AbstractIn this study, halide perovskite nanocrystals are synthesized by controlling the ligand length and amount, and investigated the effects on the change in the ligand length and amount on the shape, size, crystal structure, and optical properties of the perovskite nanocrystals. The results reveal the tendency and respective effects of amine and acid ligands on perovskite nanocrystals. The amine ligands bind directly to the perovskite nanocrystals. Consequently, the amine ligands with longer chains interfere with the aggregation of the initially formed nanocrystals, thus limiting the size of the halide perovskite nanocrystals. Similar to the amine ligands, the acid ligands directly bond with the perovskite nanocrystals; however, they are also indirectly distributed around the nanocrystals, thus affecting their structure and dispersion. Consequently, the acid ligands affect the assembly of the initially formed nanocrystals, which determine the shape and crystal structure of the nanocrystals. It is believed that the report will provide useful insight on the synthesis of halide perovskites for application in optoelectronic devices.