bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical Accuracy Necessary for Large-Eddy Simulation of Planetary Boundary Layer Turbulence Using the Discontinuous Galerkin Method
Authors: Kawai Yuta , Tomita Hirofumi 
Published: March 2023

Abstract
In large-eddy simulations (LES), it is crucial to ensure that discretization errors do not contaminate the subgrid effect of the turbulence model in a wavelength range larger than the effective resolution. Recently, we showed that a seventh- or eighth-order accuracy is required for advection terms in planetary boundary layer simulations when using conventional gridpoint methods. However, a significant amount of communication between parallel computers is necessary to achieve high-order accuracy in gridpoint methods, and this can degrade computational efficiency. The discontinuous Galerkin method (DGM) is a promising approach for overcoming these limitations. Therefore, this study focuses on the numerical criteria of the DGM at LES from the viewpoint of numerical diffusion and dispersion. We extend our earlier study to the DGM framework and clarify the necessary order of the polynomial (p). We find that p = 4 is required based on the numerical criteria at the grid spacing of O(10) m with sufficiently scale-selective modal filters. The examination of temporal accuracy suggests that the fourth-order is sufficient when a fully explicit temporal scheme is used. In addition, we investigate the effect of hyperupwinding that is usually met when the Rusanov flux is employed in the low Mach number flows. It suggests that the choice of numerical flux has little effect on simulation results when the high-order DGM is used. Furthermore, we perform a series of LES in the planetary boundary layer and confirm that the indication obtained from the criteria holds for an actual LES.
Teacher Sensemaking in an Early Education Research–Practice Partnership
Authors: Datnow Amanda , Guerra Alison Wishard , Cohen Shana R. , Kennedy Benjamin C. , Lee Joseph 
Published: March 2023

Background/Context: High quality early education, preschool through third grade, has received significant attention as a vehicle for addressing academic disparities. Research–practice partnerships (RPPs) offer a promising strategy for improving early education and closing the gap between research and practice; however, RPPs in the early learning context are understudied, and there is little information about how teachers experience them. Purpose/Research Questions: Grounded in a framework of sensemaking theory and research on teachers’ beliefs and RPPs, this paper addresses the following questions: (1) How did an early education RPP attempt to build a meaningful and trusting partnership and amplify teacher voices? (2) How did teachers make sense of new knowledge within the context of the RPP and their practical wisdom? (3) To what degree were teachers reaffirming existing beliefs vs. questioning or adjusting current beliefs through their participation in the RPP? Research Design: This paper relies on qualitative data gathered as part of an interdisciplinary education neuroscience longitudinal RPP project between university researchers and educators in a California school district. The data analyzed for this paper included field notes and artifacts from RPP meetings and transcripts of teacher interviews. Conclusions/Recommendations: The RPP intentionally created opportunities for teachers to amplify their perspectives and interpretations. Within RPP meeting spaces, teachers reflected on their beliefs and practices in light of research conducted in their schools and, more generally, sometimes adjusting and other times reaffirming their views. The extent to which teachers incorporated new knowledge into their cognitive schemas varied based on the topic and how and where the information was presented. These findings yield important implications for research–practice partnerships and system change in early childhood education.
The investigation of reduced field-of-view diffusion-weighted imaging (DWI) in patients with nasopharyngeal carcinoma: comparison with conventional DWI
Authors: Meng Tiebao , Liu Huiming , Liu Jinbo , Wang Feixiang , Xie Chuanmiao , Ke Liangru , He Haoqiang 
Published: March 2023

Background Field-of-view optimized and constrained undistorted single-shot imaging (FOCUS) is a new sequence that shows enhanced anatomical details, improving the diffusion-weighted (DW) images. Purpose To investigate the value of FOCUS diffusion-weighted imaging (DWI) in the evaluation of nasopharyngeal carcinoma (NPC) and compare it with the single-shot echo planner imaging (SS-EPI) DWI approach. Material and Methods A total of 87 patients with NPC underwent magnetic resonance imaging, including FOCUS and SS-EPI DWI sequences. The signal-to-noise ratio (SNR), signal-intensity ratio (SIR), contrast-to-noise ratio (CNR), and apparent diffusion coefficient (ADC) values of the nasopharyngeal lesions were measured and compared. According to the clinical stages of patients, T and N were divided into early and advanced stage groups, respectively. The mean ADC values of the two techniques were computed, and the area under the curve (AUC) was estimated to calculate the diagnostic efficiency. Results Subjective and objective image qualitative values of FOCUS were significantly higher than those of SS-EPI. The ADC values for FOCUS of early T and N stages were significantly lower than those of the advanced stages. Conclusion FOCUS provides significantly better image quality in NPC compared to SS-EPI, with lower ADC values for early-stage disease than late-stage disease.
Clinical practices, challenges, and job satisfaction of occupational therapists working in Community Mental Health Centers in Turkey
Authors: Ercan Doğu Selma , Özkan Esma , Kars Sinem 
Published: March 2023

Introduction: Occupational therapists have been involved in Community Mental Health Centers (CMHCs) since 2016 in Turkey. To the best of our knowledge, no data about occupational therapists’ practices in CMHCs is available in the extant research literature. Therefore, this study aimed to investigate the clinical practices, challenges, and job satisfaction of occupational therapists working for CMHCs in Turkey. Method: We conducted a cross-sectional survey study in which 28 volunteer occupational therapists working in CMHCs participated. The participants filled out the Sociodemographic and Professional Experience Information Form and the Job Satisfaction Scale. Results: Occupational therapists were experienced practitioners implementing various occupational therapist practices in community mental health and they were generally satisfied with their job. The challenges facing Occupational therapists were communicating with caregivers, motivating the client, enabling the client to perform occupational participation. Collaborative teamwork and participation in training about community mental health were found as the important factors contributing to occupational therapist professionals’ job satisfaction. Conclusion: Investigating the professional behaviors of Occupational therapists, an emerging health profession in Turkey, is important for the development of the profession. The education and supervision specially adapted for community mental health and the supportive teamwork seem to be significant for the job satisfaction of community mental health Occupational therapists.
Characteristics and clinical needs of young tertiary students attending a specialist mood disorders clinic
Authors: O'Gorman Kieran M , Schmaal Lianne , Ratheesh Aswin , Habib George , Tokatlidis Orania , Jackson-Simpson Jennifer , Cotton Sue M , Rice Simon M 
Published: March 2023

Objective To investigate the clinical characteristics of tertiary students and non-students attending a specialist clinic for severe mood disorders. Method Medical record audit of clients discharged from the Youth Mood Clinic (YMC). Data extracted included depressive symptomatology, suicidal ideation, self-harm, suicide attempt, tertiary education engagement, drop-out and deferral. Results Data from 131 clients ( M age = 19.58 years, SD = 2.66) were analysed, including 46 tertiary students. Relative to non-students, at intake, tertiary students reported more severe depressive symptomatology ( d = 0.43). They were more likely to experience suicidal ideation at intake ( V = 0.23), and during treatment ( V = 0.18). Tertiary students were also more likely to be living separately to their family of origin ( V = 0.20) but were less likely to have experienced parental separation ( V = 0.19). 21.73% of tertiary students dropped out or deferred study during care. Conclusion In this cohort, those engaged in tertiary education experience more severe depression and more commonly experienced suicidal ideation. These young people require targeted support for their mental health while they undertake tertiary education.
Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19
Authors: Zhu Aretha , Tailor Priya , Verma Rashika , Zhang Isis , Schott Brian , Ye Catherine , Szirth Bernard , Habiel Miriam , Khouri Albert S 
Published: March 2023

Introduction Age-related macular degeneration, diabetic retinopathy, and glaucoma are vision-threatening diseases that are leading causes of vision loss. Many studies have validated deep learning artificial intelligence for image-based diagnosis of vision-threatening diseases. Our study prospectively investigated deep learning artificial intelligence applications in student-run non-mydriatic screenings for an underserved, primarily Hispanic community during COVID-19. Methods Five supervised student-run community screenings were held in West New York, New Jersey. Participants underwent non-mydriatic 45-degree retinal imaging by medical students. Images were uploaded to a cloud-based deep learning artificial intelligence for vision-threatening disease referral. An on-site tele-ophthalmology grader and remote clinical ophthalmologist graded images, with adjudication by a senior ophthalmologist to establish the gold standard diagnosis, which was used to assess the performance of deep learning artificial intelligence. Results A total of 385 eyes from 195 screening participants were included (mean age 52.43  ±  14.5 years, 40.0% female). A total of 48 participants were referred for at least one vision-threatening disease. Deep learning artificial intelligence marked 150/385 (38.9%) eyes as ungradable, compared to 10/385 (2.6%) ungradable as per the human gold standard ( p < 0.001). Deep learning artificial intelligence had 63.2% sensitivity, 94.5% specificity, 32.0% positive predictive value, and 98.4% negative predictive value in vision-threatening disease referrals. Deep learning artificial intelligence successfully referred all 4 eyes with multiple vision-threatening diseases. Deep learning artificial intelligence graded images (35.6  ±  13.3 s) faster than the tele-ophthalmology grader (129  ±  41.0) and clinical ophthalmologist (68  ±  21.9, p < 0.001). Discussion Deep learning artificial intelligence can increase the efficiency and accessibility of vision-threatening disease screenings, particularly in underserved communities. Deep learning artificial intelligence should be adaptable to different environments. Consideration should be given to how deep learning artificial intelligence can best be utilized in a real-world application, whether in computer-aided or autonomous diagnosis.
“Sanitary measures, social distancing, safety”: The evolution of Swiss hoteliers’ Covid-19 communication through three snapshots
Authors: Zizka Laura , Chen Meng-Mei 
Published: March 2023

Since the first reports of the Covid-19 virus in December 2019, the tourism industry has struggled to find solutions to this unprecedented crisis. During crises, organizational learning can develop crisis management and communication skills while enhancing organizational resilience in coping with crises. This research examines whether organizational learning for communicating during crises occurred in the Swiss hotel industry in the past 2 years. By tracking and visualizing the messages communicated by Swiss hotels on their websites, this study analyzes the communication strategies employed by hoteliers over the past 20 months through thematic analysis, co-occurrence analysis, and Situational Crisis Communication (SCCT) strategies. The results of this study identified the evolution of communication strategies over time. Specifically, ingratiation, corrective action, transferring, victimization, and justification are the five key strategies. This study also visualizes the crisis responses in concept maps in three snapshots (June 2020, June 2021, and February 2022). The concepts and colors of the visualization provide a different perspective on the evolution of crisis communication over the past 2 years. This study contributes to academia and practitioners by demonstrating the evolution of crisis communication messages through both the granular analysis of SCCT strategies and the bird’s-eye view of themes and concepts.
From behaviour-based to ecological: Multi-agency partnership responses to extra-familial harm
Authors: Owens Rachael , Lloyd Jenny 
Published: March 2023

Summary In the United Kingdom (UK), inquiries into the abuse of adolescents harmed in contexts beyond their families frequently document failures in multi-agency arrangements. Forms of extra-familial harm, such as criminal and sexual exploitation, often feature near-fatal violence and serious abuse. UK welfare policy has shifted towards place-based approaches to harm, leading to safeguarding partnerships forming between welfare agencies and neighbourhood crime reduction agencies. However, forming partnerships between those who have differing epistemological underpinnings raises challenges. This article explores these by drawing on a research project implementing contextual safeguarding theory and practice within five child welfare social care departments in England and Wales. Data is presented from 10 pilots (33 focus groups, 24 interviews, 59 meeting observations, 36 reviews of cases, review of 100 documents). Findings Multi-agency partnerships prioritise safeguarding practice that targets behaviour, over addressing the social conditions of abuse. Assumptions that partnerships will automatically align means that there is little space for negotiating a shared conceptual/ideological approach. Particularly in high-risk situations, welfare agencies defer to policing methods that target individuals rather than environments. Where ecological approaches are utilised, this is experienced as ‘against the grain’ and requiring support. Applications To advance contextual approaches to safeguarding young people, multi-agency partnerships must go beyond altering the behaviour of those who are harmed. Partnerships that engage in reflective discussion about their conceptual approach are more likely to build the awareness and trust required for ecological methods to succeed. Enhancing ecological social work leadership within partnerships responding to extra-familial harm is a key factor.
Validity of Novel Outcome Measures for Hand Function Performance After Stroke Using Egocentric Video
Authors: Tsai Meng-Fen , Wang Rosalie H. , Zariffa José 
Published: March 2023

Background Evaluating upper limb (UL) interventions after stroke calls for outcome measures that describe impact on daily life in the community. UL use ratio has been used to quantify the performance domain of UL function, but generally focuses on arm use only. A hand use ratio could provide additional information about UL function after stroke. Additionally, a ratio based on the role of the more-affected hand in bilateral activities (stabilizer or manipulator) may also reflect hand function recovery. Egocentric video is a novel modality that can record both dynamic and static hand use and hand roles at home after stroke. Objective To validate hand use and hand role ratios from egocentric video against standardized clinical UL assessments. Methods Twenty-four stroke survivors recorded daily tasks in a home simulation laboratory and their daily routines at home using egocentric cameras. Spearman’s correlation was used to compare the ratios with the Fugl-Meyer Assessment-Upper Extremity (FMA-UE), Action Research Arm Test (ARAT), and Motor Activity Log-30 (MAL, Amount of Use (AoU), and Quality of Movement (QoM)). Results Hand use ratio significantly correlated with the FMA-UE (0.60, 95% CI: 0.26, 0.81), ARAT (0.44, CI: 0.04, 0.72), MAL-AoU (0.80, CI: 0.59, 0.91), and MAL-QoM (0.79, CI: 0.57, 0.91). Hand role ratio had no significant correlations with the assessments. Conclusion Hand use ratio automatically extracted from egocentric video, but not hand role ratio, was found to be a valid measure of hand function performance in our sample. Further investigation is necessary to interpret hand role information.
Diagnostic value of whole-mount crypt analysis of ileal biopsy specimens for the patients with familial small intestinal neuroendocrine tumors
Authors: Sei Yoshitatsu , Forbes Joanne , Da Ben , Chitsaz Ehsan , Feng Jianying , Zhao Xilin , Hughes Marybeth S. , Wank Stephen A. 
Published: March 2023

Background and Aims: Early-stage small intestinal neuroendocrine tumors (SI-NETs) are generally asymptomatic and difficult to diagnose. As a result, patients often present with late-stage incurable disease. SI-NETs originate from enterochromaffin (EC) cells, which develop enteroendocrine cell (EEC) clusters consisting of a subset of EC cells at the crypt bottom at an early stage of tumor progression. In a familial form of SI-NET, EEC clusters arise in a multifocal and polyclonal fashion. We sought to determine whether early detection and analysis of cryptal EEC clusters could provide insight into the development of SI-NETs and allow successful pre-symptomatic screening for at risk family members of patients with SI-NETs. Methods: Isolated crypts from endoscopic ileal biopsies or surgically removed specimens from 43 patients with familial SI-NET and 20 controls were formalin-fixed, immunostained for chromogranin A, and examined by confocal three-dimensional analysis for the presence of EEC cluster formations. Results: Examination of multiple areas of macroscopic tumor-free mucosa in surgically resected specimens from patients with familial SI-NET revealed widely distributed, independent, multifocal EEC micro-tumor formations of varying sizes. Consistent with this finding, randomly sampled ileal biopsy specimens identified aberrant crypt containing endocrine cell clusters (ACECs) in patients. ACECs were found exclusively in patients (23/43, 53%) and not in controls (0/20). Furthermore, analysis of positions and numbers of EECs in crypts and ACECs indicated significant increases in EECs at the crypt bottom, predominantly at positions 0 and 1′ ( p < 0.0001 compared to controls), suggesting the progression of EEC accumulation below +4 position as the early process of ACEC formation. These findings also suggested that ACECs were precursors in the development of micro-tumors and subsequent macro-tumors. Conclusion: This study indicates that SI-NETs develop from deep crypt EC cells to become ACECs, micro-tumors, and ultimately gross tumors. This process occurs widely throughout the distal small intestine in patients with familial SI-NETs consistent with but not exclusively explained by germline disease. Finally, analysis of crypts from ileal biopsies could contribute in part to earlier diagnostic screening processes avoiding late-stage presentation of incurable disease.
Regulatory Verification by Health Canada of Content in Recombinant Human Insulin, Human Insulin Analog, and Porcine Insulin Drug Products in the Canadian Market Using Validated Pharmacopoeial Methods Over Nonvalidated Approaches
Authors: Lorbetskie Barry , Bigelow Stewart , Walrond Lisa , Klein Agnes V. , Loo Shih-Miin , Green Nancy , Rosu-Myles Michael , Zhang Xu , Lu Huixin , Girard Michel , Sauvé Simon 
Published: March 2023

Background: For diabetes mellitus treatment plans, the consistency and quality of insulin drug products are crucial for patient well-being. Because biologic drugs, such as insulin, are complex heterogeneous products, the methods for drug product evaluation should be carefully validated for use. As such, these criteria are rigorously evaluated and monitored by national authorities. Consequently, reports that describe significantly lower insulin content than their label claims are a concern. This issue was raised by a past publication analyzing insulin drug products available in Canada, and, as a result, consumers and major patient organizations have requested clarification. Methods: To address these concerns, this study independently analyzed insulin drug products purchased from local Canadian pharmacies—including human insulin, insulin analogs, and porcine insulin—by compendial and noncompendial reversed-phase high-performance liquid chromatography (RP-HPLC) methods. Results: We demonstrated the importance of using methods fit for purpose when assessing insulin quality. In a preliminary screen, the expected insulin peak was seen in all products except two insulin analogs—insulin detemir and insulin degludec. Further investigation showed that this was not caused by low insulin content but insufficient solvent conditions, which demonstrated the necessity for methods to be adequately validated for product-specific use. When drug products were appropriately assessed for content using the validated type-specific compendial RP-HPLC methods for insulin quantitation, values agreed with the label claim content. Conclusions: Because insulin drug products are used daily by over a million Canadians, it is important that researchers and journals present data using methods fit for purpose and that readers evaluate such reports critically.
Applying frontier approach to measure the financial efficiency of hospitals
Authors: Wu Jih-Shong 
Published: March 2023

Objectives The growth in global healthcare capacity has led to increased healthcare costs and a deterioration in the finances of universal health insurance. Hospitals must consider how to improve financial efficiency and service quality in order to survive and operate sustainably. Methods This study applies data envelopment analysis (DEA) and stochastic frontier analysis (SFA) to measure the financial efficiency of hospitals and to identify the factors and business strategies to improve profitability. Results The findings and recommendations show that (1) the DEA and SFA methods are similar and have reference values; (2) financial efficiency should be improved by reducing medical costs; (3) the quality of medical staff should be improved and manpower reduced; and (4) information, computerisation, and human intelligence in healthcare and management should be enhanced. Conclusions In terms of practical applications, this study recommends the promotion of smart healthcare to improve the efficiency and quality of healthcare services, as well as the introduction of artificial intelligence and big data analysis to optimise the use of healthcare manpower. Electronic medical records can be used to reduce the wastage of resources and labour costs, a medication management system can be established, and changes to the procurement system can be made to reduce inventory and improve the efficiency of medical equipment use. It is hoped that this study will provide reference materials and applications for healthcare organisations to improve their operational efficiency and strategies.