bluuebunny/crossref_metadata_2025_split huggingface dataset:
Placing Users at the Center: Evaluating Exam Room Design for Improved User Experience
Authors: Matić Zorana , Oh Yeinn , Lim Lisa , Zimring Craig 
Published: May 2022

Objective: This article proposes a method for evaluating the design affordances of primary care exam rooms from the perspectives of users using functional scenario (FS) analysis. Goal: This study aims to develop quantifiable criteria and spatial metrics for evaluating how exam room design supports the needs of different users. These criteria and metrics can be used in the early stages of the design process to choose between alternatives. Background: The primary care exam room is an essential space in healthcare, as it is the first point of contact between the healthcare provider and the patient. However, there is a lack of rigorous evaluation metrics for exam room design that supports improved user experiences and better health outcomes. Method: A total of nine primary care exam rooms were analyzed using FS analysis. We identified three key user groups involved in the clinical examination process—providers, patients, and care partners—and translated their needs into FSs. We developed spatial metrics for each FS to quantify the extent to which the needs were spatially supported. Results: We developed 11 FSs in total: three from the providers’, five from the patients’, and three from the care partners’ perspectives. The results revealed possible design strategies for improved user experiences. Conclusions: We quantitatively measured the affordance of primary care exam room design for multiple stakeholders. We expect that the criteria and metrics presented in this article will improve the understanding of different users’ perspectives and provide new design guidance for improved user experiences.
Executive attention control impairments and social anxiety symptoms in children
Authors: Reinholdt-Dunne Marie Louise , Blicher Andreas , Rinck Mike , Klein Anke 
Published: May 2022

Impairments in executive attention control, such as the ability to inhibit processing task-irrelevant information, are believed to play a key role in the development and maintenance of social fear and anxiety. However, the underlying attentional mechanisms related to social anxiety are not well understood. The aim of the present study was to investigate associations between actual and perceived executive attention control deficits and social anxiety symptoms in children. Participants included 134 school children drawn from the community between the ages of 8–13 years. Children completed the Attention Network Task (ANT) along with self-report measures of executive attention control and social anxiety. The ANT is a reaction-based task that assesses alerting, orienting, and control of executive attention. Results showed that only self-reported executive attention control was negatively associated with heightened levels of social anxiety. Also, objectively and subjectively measured executive attention control were not related to each other. Findings suggest that social anxiety may only be associated with perceived deficits and not with an actual impairment of executive attention control. Further studies are needed to examine the role of actual versus perceived deficits in childhood social anxiety.
Depressive symptoms and associated factors among adults attending antiretroviral therapy clinic in Debre Markos comprehensive specialized hospital, Amhara, Ethiopia
Authors: Amha Haile , Denekew Bethlehem , Asnakew Sintayehu 
Published: May 2022

Objective: This study aimed to assess the prevalence and associated factors of depressive symptoms among adults attending anti-retroviral therapy follow up at Debre Markos Comprehensive Specialized Hospital. Methods: Institution-based cross-sectional study was conducted, and a systematic sampling technique was used to select the 266 participants. Depressive symptoms were assessed by using patient health questionnaire 9. A binary logistic regression analysis with an odds ratio and a 95% confidence interval was used to assess the strength of associations in SPSS version 20 and a p-value < 0.05 was considered as statistically significant. Results: In this study, the prevalence of depressive symptoms among HIV-positive individuals was 39.1% with 95% confidence interval (33.7%–45.3%). Multivariable analysis showed that participants who had age group > 40 (adjusted odds ratio = 5.26, 95% confidence interval (2.24–12.35)), presence of perceived stigma and discrimination (adjusted odds ratio = 7.5, 95% confidence interval = (3.77–14.9)), poor medication adherence (adjusted odds ratio = 6.05, 95% confidence interval = (2.86–12.80)), and poor social support (adjusted odds ratio = 2.53, 95% confidence interval = (1.25–5.12)) were significantly associated with depression. Conclusion: The prevalence of depressive symptoms in this study was found to be significantly high. Age > 40 years old, the presence of perceived stigma and discrimination, poor medication adherence, and a lack of social support were found to be associated factors of depressive symptoms. It would be better for clinicians to give special emphasis to those patients who were stigmatized, who had compliance problems, and poor social support.
Canadian Association of Radiologists Guidance on Contrast-Associated Acute Kidney Injury
Authors: Macdonald D. Blair , Hurrell Casey D. , Costa Andreu F. , McInnes Matthew D. F. , O’Malley Martin , Barrett Brendan J. , Brown Pierre Antoine , Clark Edward G. , Hadjivassiliou Anastasia , Kirkpatrick Iain Donald Craik , Rempel Jeremy , Jeon Paul , Hiremath Swapnil 
Published: May 2022

Purpose: Iodinated contrast media is one of the most frequently administered pharmaceuticals. In Canada, over 5.4 million computed tomography (CT) examinations were performed in 2019, of which 50% were contrast enhanced. Acute kidney injury (AKI) occurring after iodinated contrast administration was historically considered a common iatrogenic complication which was managed by screening patients, prophylactic strategies, and follow-up evaluation of renal function. The Canadian Association of Radiologists (CAR) initially published guidelines on the prevention of contrast induced nephropathy in 2007, with an update in 2012. However, new developments in the field have led to the availability of safer contrast agents and changes in clinical practice, prompting a complete revision of the earlier recommendations. Information sources: Published literature, including clinical trials, retrospective cohort series, review articles, and case reports, along with expert opinions from radiologists and nephrologists across Canada. Methods: The leadership of the CAR formed a working group of radiologists and nephrologists with expertise in contrast administration and patient management related to contrast-associated AKI. We conducted a comprehensive review of the published literature to evaluate the evidence about contrast as a cause of AKI, and to inform evidence-based recommendations. Based on the available literature, the working group developed consensus recommendations. Key Findings: The working group developed 21 recommendations, on screening, choice of iodinated contrast media, prophylaxis, medication considerations, and post contrast administration management. The key changes from the 2012 guidelines were (1) Simplification of screening to a simple questionnaire, and not delaying emergent examinations due to a need for creatinine measurements (2) Prophylaxis considerations only for patients with estimated glomerular filtration rate (eGFR) less than 30 mL/min/1.73 m2 (3) Not recommending the routine discontinuation of any drugs to decrease risk of AKI, except metformin when eGFR is less than 30 mL/min/1.73 m2 and (4) Not requiring routine follow up serum creatinine measurements post iodinated contrast administration. Limitations: We did not conduct a formal systematic review or meta-analysis. We did not evaluate our specific suggestions in the clinical environment. Implications: Given the importance of iodinated contrast media use in diagnosis and management, and the low risk of AKI after contrast use, these guidelines aim to streamline the processes around iodinated contrast use in most clinical settings. As newer evidence arises that may change or add to the recommendations provided, the working group will revise these guidelines.
Household Vulnerability and Resilience in Tunisia: Evidence Using Fuzzy Sets and Multidimensional Approach
Authors: Nasri Khaled , Belhadj Besma 
Published: May 2022

This paper aims to analyse the vulnerability to multidimensional poverty in Tunisia using a dual cut-off identification method and the fuzzy sets approach to estimate the degree of resilience for each household identified vulnerable. The results obtained allowed us to understand the sources of vulnerability in the different Tunisian regions. There is clear evidence that the number of vulnerable households grows as the degree of vulnerability increases and the size of vulnerable groups depends on the source of deprivation. Individuals with a high degree of membership are in a state of extreme vulnerability, and their abilities to cope with shock effects are low; they are exposed to the risk of experiencing poverty in the future. Preventive policies must consider their situations in order to eradicate poverty in all its forms and dimensions. JEL Classifications: C1, D6, I3
Unstacking the Russian Doll: An Integrative Interdisciplinary Analysis of Restaurant Operations
Authors: Petrova Olga , Gray Natallia , Johnston Nick , Stovall Steven 
Published: May 2022

Russian Doll, an independently owned and operated small ethnic restaurant serving handcrafted Russian food, opened its doors on January 1, 2015 in a rural river town in Southeast Missouri. The owner, Ana, had mastered many of her home country’s recipes and excelled in the kitchen. Her restaurant focused on introducing American audience to Russian culinary delights and culture, featuring authentic, made-to-order fare and a neighborly atmosphere. Ana had long dreamed of her own restaurant but without prior industry experience or formal training running the business wasn’t easy. In December 2015, after 1 year of operations, Ana found herself wondering how to proceed. Was Russian Doll a feasible entrepreneurial enterprise to begin with? Could Ana’s business be saved or was it time to call it quits and shut down?
Comparative Evaluation of Color Stability of Maxillofacial Silicones Following Accelerated Aging Conditions
Authors: Nair Abha , Saratchandran Sudeep 
Published: May 2022

Objectives: This study evaluated & compared the effect of both outdoor weathering and accelerated aging conditions on the color stability of two different maxillofacial silicone elastomers. Methods: 72 samples of two different silicones were made and divided into groups of conditioning; Dark storage, accelerated aging and outdoor weathering. Color measurements were recorded by Commission Internationale de l’Eclairage–CIE L*a*b* color system before and after conditioning using spectrophotometer. The data was analyzed by one way ANOVA for multiple Group comparisons, followed by Post hoc Scheffe’s Multiple comparison test for Group wise calculation at the 0.05 significance level. Results: All groups exhibited variation in color over time. The color change (∆E) of the pigmented specimens of all tested High Temperature Vulcanization—HTV & Room Temperature Vulcanization—RTV silicone elastomers were greater than the acceptable value (∆E >3.0). Within non pigmented HTV specimens, none of the tested silicone elastomers showed signiﬁcant color changes. Within non pigmented RTV specimens, all of the tested silicone elastomers showed signiﬁcant color changes ( P < .05). The HTV M511 elastomer showed better color stability compared with the RTV A-2186 material. Furthermore, accelerated aging condition was more detrimental and showed significant deterioration of the color properties of both HTV & RTV specimens. Significance: The results of this research will help in providing patients with maxillofacial defects in India, a prosthetic appliance that restores pleasant facial appearance with good esthetics. This will reduce trauma from head & neck cancer surgery & will help people lead a normal life in society.
Dynamics of intracellular clusters of nanoparticles
Authors: Alexandrov Dmitri V. , Korabel Nickolay , Currell Frederick , Fedotov Sergei 
Published: May 2022

Abstract
Background
Nanoparticles play a crucial role in nanodiagnostics, radiation therapy of cancer, and they are now widely used to effectively deliver drugs to specific sites, targeting whole organs and down to single cells, in a controlled manner. Therapeutic efficiency of nanoparticles greatly depends on their clustering distribution inside cells. Our purpose is to find the cluster density using Smoluchowski’s coagulation equation with injections.

Results
We obtain an exact cluster density of nanoparticles as the steady-state solution of Smoluchowski’s equation describing clustering due to the fusion of endosomes. We also analyze the unsteady cluster distribution and compare it with the experimental data for time evolution of gold nanoparticle clusters in living cells.

Conclusions
We show the steady cluster density is in good agreement with experimental data on gold nanoparticle distribution inside endosomes. We find that for clusters containing between 1 and 20 nanoparticles, the exact cluster density provides a better description of the existing experimental data than the well-known approximate asymptotic power-law distribution $$x^{-3/2}$$

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Genome-wide characterization and identification of candidate ERF genes involved in various abiotic stress responses in sesame (Sesamum indicum L.)
Authors: Su Ruqi , Dossou Senouwa Segla Koffi , Dossa Komivi , Zhou Rong , Liu Aili , Zhong Yanping , Fang Sheng , Zhang Xiurong , Wu Ziming , You Jun 
Published: May 2022

Abstract
Background
The adverse effects of climate change on crop production are constraining breeders to develop high-quality environmentally stable varieties. Hence, efforts are being made to identify key genes that could be targeted for enhancing crop tolerance to environmental stresses. ERF transcription factors play an important role in various abiotic stresses in plants. However, the roles of the ERF family in abiotic stresses tolerance are still largely unknown in sesame, the “queen” of oilseed crops.

Results
In total, 114 sesame ERF genes (SiERFs) were identified and characterized. 96.49% of the SiERFs were distributed unevenly on the 16 linkage groups of the sesame genome. The phylogenetic analysis with the Arabidopsis ERFs (AtERFs) subdivided SiERF subfamily proteins into 11 subgroups (Groups I to X; and VI-L). Genes in the same subgroup exhibited similar structure and conserved motifs. Evolutionary analysis showed that the expansion of ERF genes in sesame was mainly induced by whole-genome duplication events. Moreover, cis-acting elements analysis showed that SiERFs are mostly involved in environmental responses. Gene expression profiles analysis revealed that 59 and 26 SiERFs are highly stimulated under drought and waterlogging stress, respectively. In addition, qRT-PCR analyses indicated that most of SiERFs are also significantly up-regulated under osmotic, submerge, ABA, and ACC stresses. Among them, SiERF23 and SiERF54 were the most induced by both the abiotic stresses, suggesting their potential for targeted improvement of sesame response to multiple abiotic stresses.

Conclusion
This study provides a comprehensive understanding of the structure, classification, evolution, and abiotic stresses response of ERF genes in sesame. Moreover, it offers valuable gene resources for functional characterization towards enhancing sesame tolerance to multiple abiotic stresses.
Effects of biogenic silver and iron nanoparticles on soybean seedlings (Glycine max)
Authors: Guilger-Casagrande Mariana , Bilesky-José Natália , Sousa Bruno Teixeira , Oliveira Halley Caixeta , Fraceto Leonardo Fernandes , Lima Renata 
Published: May 2022

AbstractBackgroundBiogenic metallic nanoparticles have been emerging as a promising alternative for the control of phytopathogens and as nanofertilizers. In this way, it is essential to investigate the possible impacts of these new nanomaterials on plants. In this study, the effects of soil contamination with biogenic silver (AgNPs) and iron (FeNPs) with known antifungal potential were investigated on morphological, physiological and biochemical parameters of soybean seedlings.ResultsThe exposure of plants/seedlings to AgNPs induced the reduction of root dry weight followed by oxidative stress in this organ, however, adaptive responses such as a decrease in stomatal conductance without impacts on photosynthesis and an increase in intrinsic water use efficiency were also observed. The seedlings exposed to FeNPs had shown an increase in the levels of oxygen peroxide in the leaves not accompanied by lipid peroxidation, and an increase in the expression ofPOD2andPOD7genes, indicating a defense mechanism by root lignification.ConclusionOur results demonstrated that different metal biogenic nanoparticles cause different effects on soybean seedlings and these findings highlight the importance of investigating possible phytotoxic effects of these nanomaterials for the control of phytopathogens or as nanofertilizers.
Gender differences regarding intention to use mHealth applications in the Dutch elderly population: a cross-sectional study
Authors: van Elburg Floris Ruben Tobias , Klaver Nicky Sabine , Nieboer Anna Petra , Askari Marjan 
Published: May 2022

Abstract
Background
In light of the increasing demands in health care, a call has been made for the development of new strategies. One of these strategies is placing a higher emphasis on individuals, who are expected to better manage their own health and illness. mHealth applications could increase this self-management behaviour among older adults. However, it is crucial to know the intention to use mHealth of older adults before implementing these services. Even less is known regarding differences between genders on factors influencing this intention to use mHealth applications.

Objective
The aim of this study was to study the gender differences regarding the relationship between technology acceptance factors and the intention to use mHealth applications in the Dutch elderly population.

Methods
We conducted a quantitative cross-sectional study using questionnaires. The participants were 65 years or older, lived independently or in a senior living facility, without cognitive impairment. Logistic regression with interaction terms was done to determine gender differences in the relationship between the intention to use mHealth applications and technology acceptance factors.

Results
While we found that half of the studied population had intention to use medical applications (50.3%) a notable difference was observed within gender groups which showed more men had intention to use medical applications rather than women (59.4% vs. 43.4% respectively). Adjusted logistic regression analysis per factor on the male and female part of the study population respectively showed that the factors Perceived usefulness (OR 21,69 and 2,39, resp.), Perceived ease of use (OR 7,21 and 2,74), Attitude toward use (OR 24,61 and 4,94), Sense of control (OR 4,12 and 2,67), Personal innovativeness (OR 2,54 and 1,58), Self-perceived effectiveness (OR 3,21 and 2,34), Service availability (OR 4,38 and 2,51) and Facilitating circumstances (OR 3,04 and 2,18) had a statistically significant influence on intention to use in both models. Logistic regression with interaction terms showed that two of the technology acceptance factors differed statistically significant in their relationship with intention to use when comparing females to males, namely Perceived usefulness (OR 0,11) and Attitude toward use (OR 0.24). Both factors were more strongly associated with intention to use for men compared to women.

Conclusion
Policymakers and interventions aiming to stimulate the uptake of mHealth applications should acknowledge gender differences. Interventions based on improving the Perceived usefulness and Attitude toward use among female users could be a means to stimulate the full potential of medical applications and improve the uptake.
Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture
Authors: Kitcharanant Nitchanant , Chotiyarnwong Pojchong , Tanphiriyakun Thiraphat , Vanitcharoenkul Ekasame , Mahaisavariya Chantas , Boonyaprapa Wichian , Unnanuntana Aasis 
Published: May 2022

Abstract
Background
Fragility hip fracture increases morbidity and mortality in older adult patients, especially within the first year. Identification of patients at high risk of death facilitates modification of associated perioperative factors that can reduce mortality. Various machine learning algorithms have been developed and are widely used in healthcare research, particularly for mortality prediction. This study aimed to develop and internally validate 7 machine learning models to predict 1-year mortality after fragility hip fracture.

Methods
This retrospective study included patients with fragility hip fractures from a single center (Siriraj Hospital, Bangkok, Thailand) from July 2016 to October 2018. A total of 492 patients were enrolled. They were randomly categorized into a training group (344 cases, 70%) or a testing group (148 cases, 30%). Various machine learning techniques were used: the Gradient Boosting Classifier (GB), Random Forests Classifier (RF), Artificial Neural Network Classifier (ANN), Logistic Regression Classifier (LR), Naive Bayes Classifier (NB), Support Vector Machine Classifier (SVM), and K-Nearest Neighbors Classifier (KNN). All models were internally validated by evaluating their performance and the area under a receiver operating characteristic curve (AUC).

Results
For the testing dataset, the accuracies were GB model = 0.93, RF model = 0.95, ANN model = 0.94, LR model = 0.91, NB model = 0.89, SVM model = 0.90, and KNN model = 0.90. All models achieved high AUCs that ranged between 0.81 and 0.99. The RF model also provided a negative predictive value of 0.96, a positive predictive value of 0.93, a specificity of 0.99, and a sensitivity of 0.68.

Conclusions
Our machine learning approach facilitated the successful development of an accurate model to predict 1-year mortality after fragility hip fracture. Several machine learning algorithms (eg, Gradient Boosting and Random Forest) had the potential to provide high predictive performance based on the clinical parameters of each patient. The web application is available at www.hipprediction.com. External validation in a larger group of patients or in different hospital settings is warranted to evaluate the clinical utility of this tool.

Trial registration
Thai Clinical Trials Registry (22 February 2021; reg. no. TCTR20210222003).