bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding Spatial Context in Convolutional Neural Networks Using Explainable Methods: Application to Interpretable GREMLIN
Authors: Hilburn Kyle A. 
Published: June 2023

Abstract
Convolutional neural networks (CNNs) are opening new possibilities in the realm of satellite remote sensing. CNNs are especially useful for capturing the information in spatial patterns that is evident to the human eye but has eluded classical pixelwise retrieval algorithms. However, the black-box nature of CNN predictions makes them difficult to interpret, hindering their trustworthiness. This paper explores a new way to simplify CNNs that allows them to be implemented in a fully transparent and interpretable framework. This clarity is accomplished by moving the inner workings of the CNN out into a feature engineering step and replacing the CNN with a regression model. The specific example of the GOES Radar Estimation via Machine Learning to Inform NWP (GREMLIN) is used to demonstrate that such simplifications are possible and to show the benefits of the interpretable approach. GREMLIN translates images of GOES radiances and lightning into images of radar reflectivity, and previous research used explainable artificial intelligence (XAI) approaches to explain some aspects of how GREMLIN makes predictions. However, the Interpretable GREMLIN model shows that XAI missed several strategies, and XAI does not provide guarantees on how the model will respond when confronted with new scenarios. In contrast, the interpretable model establishes well-defined relationships between inputs and outputs, offering a clear mapping of the spatial context utilized by the CNN to make accurate predictions, and providing guarantees on how the model will respond to new inputs. The significance of this work is that it provides a new approach for developing trustworthy artificial intelligence models.

Significance Statement
Convolutional neural networks (CNNs) are very powerful tools for interpreting and processing satellite imagery. However, the black-box nature of their predictions makes them difficult to interpret, compromising their trustworthiness when applied in the context of high-stakes decision-making. This paper develops an interpretable version of a CNN model, showing that it has similar performance as the original CNN. The interpretable model is analyzed to obtain clear relationships between inputs and outputs, which elucidates the nature of spatial context utilized by CNNs to make accurate predictions. The interpretable model has a well-defined response to inputs, providing guarantees for how it will respond to novel inputs. The significance of this work is that it provides an approach to developing trustworthy artificial intelligence models.
A New Conceptual Picture of the Trade Wind Transition Layer
Authors: Albright Anna Lea , Stevens Bjorn , Bony Sandrine , Vogel Raphaela 
Published: June 2023

Abstract
The transition layer in the trades has long been observed and simulated, but the physical processes producing its structure remain little investigated. Using extensive observations from the Elucidating the Role of Clouds–Circulation Coupling in Climate (EUREC4A) field campaign, we propose a new conceptual picture of the trade wind transition layer, occurring between the mixed-layer top (around 550 m) and subcloud-layer top (around 700 m). The theory of cloud-free convective boundary layers suggests a transition-layer structure with strong jumps at the mixed-layer top, yet such strong jumps are only observed rarely. Despite cloud-base cloud fraction measured as only 5.3% ± 3.2%, the canonical cloud-free convective boundary layer structure is infrequent and confined to large [O(200) km] cloud-free areas. We show that the majority of cloud bases form within the transition layer, instead of above it, and that the cloud-top height distribution is bimodal, with a first population of very shallow clouds (tops below 1.3 km) and a second population of deeper clouds (extending to 2–3 km depth). We then show that the life cycle of this first cloud population maintains the transition-layer structure. That is, very shallow clouds smooth vertical thermodynamic gradients in the transition layer by a condensation–evaporation mechanism, which is fully coupled to the mixed layer. Inferences from mixed-layer theory and mixing diagrams, moreover, suggest that the observed transition-layer structure does not affect the rate of entrainment mixing, but rather the properties of the air incorporated into the mixed layer, primarily to enhance its rate of moistening.

Significance Statement
The physical processes producing the structure of the trade wind transition layer, a thin atmospheric layer thought to be important for regulating convection, are not yet well understood. Using extensive observations from a recent field campaign, we find that the cloud-free convective boundary layer structure, with an abrupt discontinuity in thermodynamic variables, is infrequent, despite cloud-base cloud fraction being small. We show that very shallow clouds both forming and dissipating within the transition layer smooth vertical gradients compared to a jump, except in large [O(200) km] cloud-free areas. This condensation–evaporation mechanism, which is fully coupled to the mixed layer, does not appear to affect the rate of entrainment mixing, but rather the properties of air incorporated into the mixed layer.
An Analytic Formula for Entraining CAPE in Midlatitude Storm Environments
Authors: Peters John M. , Chavas Daniel R. , Su Chun-Yian , Morrison Hugh , Coffer Brice E. 
Published: June 2023

Abstract
This article introduces an analytic formula for entraining convective available potential energy (ECAPE) with an entrainment rate that is determined directly from an environmental sounding, rather than prescribed by the formula user. Entrainment is connected to the background environment using an eddy diffusivity approximation for lateral mixing, updraft geometry assumptions, and mass continuity. These approximations result in a direct correspondence between the storm-relative flow and the updraft radius and an inverse scaling between the updraft radius squared and entrainment rate. The aforementioned concepts, combined with the assumption of adiabatic conservation of moist static energy, yield an explicit analytic equation for ECAPE that depends entirely on state variables in an atmospheric profile and a few constant parameters with values that are established in past literature. Using a simplified Bernoulli-like equation, the ECAPE formula is modified to account for updraft enhancement via kinetic energy extracted from the cloud’s background environment. CAPE and ECAPE can be viewed as predictors of the maximum vertical velocity wmax in an updraft. Hence, these formulas are evaluated using wmax from past numerical modeling studies. Both of the new formulas improve predictions of wmax substantially over commonly used diagnostic parameters, including undiluted CAPE and ECAPE with a constant prescribed entrainment rate. The formula that incorporates environmental kinetic energy contribution to the updraft correctly predicts instances of exceedance of by wmax, and provides a conceptual explanation for why such exceedance is rare among past simulations. These formulas are potentially useful in nowcasting and forecasting thunderstorms and as thunderstorm proxies in climate change studies.

Significance Statement
Substantial mixing occurs between the upward-moving air currents in thunderstorms (updrafts) and the surrounding comparatively dry environmental air, through a process called entrainment. Entrainment controls thunderstorm intensity via its diluting effect on the buoyancy of air within updrafts. A challenge to representing entrainment in forecasting and predictions of the intensity of updrafts in future climates is to determine how much entrainment will occur in a given thunderstorm environment without a computationally expensive high-resolution simulation. To address this gap, this article derives a new formula that computes entrainment from the properties of a single environmental profile. This formula is shown to predict updraft vertical velocity more accurately than past diagnostics, and can be used in forecasting and climate prediction to improve predictions of thunderstorm behavior and impacts.
Numerical analysis on the strength prediction of composite bonded repairs under different loading scenarios
Authors: Couto RFM , Couto AMS , Arachchige DDS , Nascimento DR , Moreira RDF , de Moura MFSF , Vaz MP 
Published: June 2023

In the last years, aeronautical industry has developed certified composite patch bonded repairs for damage tolerant structures, but only restoring metallic components. The mechanical behaviour of composite bonded repairs has been investigated since the development of composite damage tolerant structures is directly dependent on this technology. This study presents a strength prediction on carbon-epoxy adhesively repaired component, using ARALDITE® 2015 for the repairing and recurring to ABAQUS®, applying cohesive zone modelling (CZM), four different load conditions: tension, compression, upward bending and downward bending were tested. Four types of repairs are analysed: Single-Strap, Double-Strap, Scarf and Two-Stepped. The obtained results state that the Double-Strap repair withstand higher loads considering all the applied load cases when compared with the other geometries. Scarf and Two-Stepped repairs could achieve promising behaviours and they should be optimized, considering the advantages related to embedded patch repairing. Generally, the overlap length revealed to favour higher strengths, specially increasing from 5 to 10 mm. Failure paths were demonstrated, revealing proper relations with strength predictions.
Development and Psychometric Evaluation of a Lifestyle Evaluation Instrument for Older Adults
Authors: Ferreira Luana Karoline , Filgueiras Meireles Juliana Fernandes , de Oliveira Gomes Grace Angélica , Caputo Ferreira Maria Elisa 
Published: June 2023

Brazil is experiencing an accelerated period of population aging, with important implications for individuals, families, and the society at large. Lifestyles for the elderly can have both positive and negative health effects and are characterized by behaviors that individuals constantly reproduce in day-to-day life. However, few assessment instruments are aimed at evaluating lifestyles, and this has hampered research development. Thus, our aim in this study was to develop and evaluate the psychometric qualities of a new instrument to assess older adults’ lifestyles. We developed this single scale to assess the lifestyles of older men and women using the sequential mixed method. Individuals over 60 years old of both sexes participated in this study of several phases. In Phase 1, we produced a 96-item single scale instrument, based on a literature review, previous scales, and qualitative research. In Phase 2, we verified the scale’s content validity with help from 12 experts and 20 members of a target audience, aged between 60-84 years, deleting some items and reworking others. In Phase 3, we analyzed the psychometric qualities of the new scale in a sample of 700 older adults, aged 60 and above, from the five regions of Brazil, using both exploratory and confirmatory factor analysis. Our completed “Older Adult Lifestyle Scale” (OALS) is composed of 19 items divided into four subscales. The OALS has shown good psychometric qualities for Brazilian older adults over 60 years of age, and we can now recommend its use in this population.
Tax Havens and Tourism: The Impact of the Panama Papers and the Crowding Out of Tourism by Financial Services
Authors: Cao Zheng Chris , Jones Chris , Temouri Yama 
Published: June 2023

Tax havens are often connected to growth in tourism, as finance and tourism conveniently share infrastructural prerequisites. This paper addresses the detrimental impacts of a tax haven development strategy adopted by small open economies in relation to the development of their tourism industry. Utilizing the synthetic control method, we find that since the 2016 Panama Papers scandal, Panama’s tourism exports have fallen relative to an estimated counterfactual level that would have otherwise been attained. Moreover, based on an analysis of panel data drawn from 20 small open economies, we find that in the long run, the growth of the financial industry crowds out the tourism industry. Our findings warn tourism practitioners, based in tax havens, that they face an additional risk linked to potential tax scandals. Furthermore, the tourism industry may suffer reputational harm due to tax haven blacklisting and the crowding out of productive resources by the financial industry. JEL classifications: F43, H26, O57, Z32
Public Debt and External Debt Sustainability among BRICS Countries
Authors: George Magulsha , Shanmugam K. R. 
Published: June 2023

This study analyses an important policy issue pertaining to the public debt and external debt of BRICS nations from 1993 to 2020 using the Bohn framework and a penalised-spline estimation method. It also checks the robustness of the results using the ADF and co-integration tests. The results indicate that as the primary surplus reacts positively and significantly to public debt in China and South Africa, the debt is sustainable in these nations. In Brazil, India and Russia, the debt is not sustainable. The external debt policy is sustainable only in China and not in other BRICS nations. These results suggest the need for immediate policy interventions in Brazil, India and Russia to achieve sustainable levels of public debt and external debt. We hope that these results will be useful to policymakers and other stakeholders to take appropriate strategies to improve the public debt and external debt position of BRICS nations and to make them sustainable. JEL Codes: H63, C23, D72, E62, H72
Evaluating the Long-run Sustainability of India’s Fiscal Management with Structural Change
Authors: Shankar Shiv , Trivedi Pushpa 
Published: June 2023

Amidst output moderation, rising deficits and increasing debt, India’s macro-fiscal arithmetic witnesses severe strain and often invites downward rating pressures by sovereign rating agencies. The article aims to examine India’s fiscal sustainability during the past four decades employing time series integration and cointegration techniques, with structural breaks in a sequential schematic framework under intertemporal government budget constraints. It examines stationarity with exogenous and endogenous structure breakpoint(s) at the level and slope for government revenue and expenditure data-generating process following Narayan and Popp (2010), Lee and Strazicich (2003), Zivot and Andrews (1992) and Perron (1989). Furthermore, the cointegration vectors of these fiscal variables in Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS) and a generic cointegration framework following Gregory and Hansen (1996) with structural shifts confirm the sustainability of India’s fiscal management. However, a less-than-unity estimate of the DOLS cointegrating slope parameter with few exogenous breakpoints signifies a weak form of sustainability and hence emphasises a credible commitment to fiscal consolidation going forward for India. JEL Codes: C32, H50, E62, H62
The Influence of Perceived Role of Government on Energy Efficiency Improvement: Evidence from Manufacturing Firms in Malaysia
Authors: Heng Helen Lee Siew 
Published: June 2023

Energy efficiency improvement is one of the effective strategies to attain energy sustainability. Firms’ perceptions and attitudes towards energy efficiency improvement have come to be seen as vital in the supply and demand management of energy. This research aims to examine the influence of perceived role of government on manufacturing firms’ intentions to improve energy efficiency. Data were collected from a survey, and the research model was empirically tested. Results from the empirical analysis show that perceived role of government significantly influenced manufacturing firms’ intentions to improve energy efficiency. In addition, the results indicate that there was a significant mediating effect of attitude towards energy efficiency improvement on the relationship between perceived role of government and manufacturing firms’ intentions to improve energy efficiency. Several notable policy implications can be drawn from the research results. JEL Codes: D22, L60, Q48
The Prevalence of Attention Deficit/Hyperactivity Disorder Symptoms in Children and Adolescents With Autism Spectrum Disorder Without Intellectual Disability: A Systematic Review
Authors: Eaton Christopher , Roarty Kayley , Doval Nimisha , Shetty Smitarani , Goodall Karen , Rhodes Sinead M. 
Published: June 2023

Objective: ADHD commonly co-occurs with ASD without ID in young people. It has been difficult to obtain accurate prevalence estimates of ADHD in this population, as a dual-diagnosis was not permitted until DSM-V. We systematically reviewed the literature on the prevalence of ADHD symptoms in young people with ASD without ID. Method: 9,050 articles were identified through six databases. Articles were reviewed against inclusion and exclusion criteria and 23 studies were included. Results: ADHD symptom prevalence varied from 2.6% to 95.5%. We discuss these findings according to the ADHD assessment measure, informant, diagnostic criteria, risk of bias rating and recruitment pool. Conclusion: ADHD symptoms are common in young people with ASD without ID, but there is substantial variance in study reporting. Future studies should recruit participants from community sources, provide information on key sociodemographic sample characteristics and assess ADHD with standardized diagnostic criteria, using both parent/carer and teacher report.
Endoscopic carpal surgery in carpal tunnel syndrome: A systematic review
Authors: Liawrungrueang Wongthawat , Wongsiri Sunton , Sarasombath Peem 
Published: June 2023

Objective: Endoscopic carpal tunnel release has become increasingly popular and has shown the advantage of early recovery of hand function with minimal morbidity. In this systematic review, we aimed to summarize the currently available data and describe the reported advantages and disadvantages of endoscopic carpal tunnel surgery for treating carpal tunnel syndrome. Methods: In this study, we followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, which is a set of reporting requirements for systematic reviews and meta-analyses. The search strategy with MeSH terms was “MeSH (carpal tunnel syndrome) AND (endoscopic)” Filters: in the last 5 years, English—on February 27th, 2022. A total of 131 articles fulfilled the first screening criteria. A detailed analysis of those articles identified 39 that matched the criteria, of which 14 were considered appropriate for this analysis after applying the complete inclusion and exclusion criteria. Results: A total of 14 studies met the eligibility criteria. Analysis of those studies found that all types of portals in endoscopic carpal tunnel release reduced postoperative pain at a short-term follow-up. There was no evidence to suggest the superiority of the single- or two-portal techniques in terms of outcomes. In terms of pain relief, symptom resolution, patient satisfaction, duration to return to work, and adverse events, this early use of endoscopic carpal tunnel release produced satisfactory outcomes. Further studies comparing the number of portals are needed. Conclusion: Endoscopic carpal tunnel surgery for treating carpal tunnel syndrome is effective and both single- and dual-portal techniques provide advantages in terms of early recovery and minimal morbidity.
Identifying health research in the era of COVID-19: A scoping review
Authors: Samah Tawil 
Published: June 2023

Background: Health improvements are considered one of the most important fields of research. Since the coronavirus disease 2019 was declared a pandemic, it might have impacted clinical and public health research in various forms. Objectives: The goal of this study is to explore health research approaches in the era of coronavirus disease 2019. Methods: In this scoping review, we reviewed published medical full-text studies and identified potential areas of interest of health research in the era the coronavirus disease 2019 pandemic during the last 3 years within a higher educational setting. A bibliometric analysis was used to compare among published works. Results: Among the 93 studies that met the inclusion criteria, most focused on mental health ( n = 23; 24.7%). Twenty-one publications targeted coronavirus disease 2019 and its consequences on general health. Other studies have described hemato-oncological, cardiovascular, respiratory, and endocrinological diseases. 42 studies were cross-sectional or cohort studies and most of them published in Q1 journals. Almost half of them belonged to the Faculty of Medicine (49.5%) followed by the School of Arts, Sciences, and Psychology (26.9%). Conclusions: Health research has been demonstrated to be important, at all times, especially during crises. Therefore, researchers need to invest more efforts into seeking new medical updates in various health-related fields, regardless of their correlation with coronavirus disease 2019.
Virtual fall program assessment for frail Canadian community-dwelling older adults: Examining equitable accessibility
Authors: Weiss Sophie M. , Castelo Matthew , Liu Barbara , Norris Mireille 
Published: June 2023

Objective In response to COVID-19, the fall prevention program (FPP) at Sunnybrook Health Sciences Centre was modified to be delivered virtually. We compared patient populations assessed for the FPP virtually versus in-person to explore equitable accessibility. Methods A retrospective chart review was performed. All patients assessed virtually from the beginning of the COVID-19 pandemic until the end of abstraction (April 25, 2022) were compared to a historic sample of patients assessed in-person beginning in January 2019. Demographics, measures of frailty, co-morbidity, and cognition were abstracted. Wilcoxon Rank Sum tests and Fisher's Exact tests were used for continuous and categorical variables, respectively. Results Thirty patients were assessed virtually and compared to 30 in-person historic controls. Median age was 80 years (interquartile range 75–85), 82% were female, 70% were university educated, the median Clinical Frailty Score was 5 out of 9, and 87% used >5 medications. Once normalized, frailty scores showed no difference (p  =  0.446). The virtual cohort showed significantly higher outdoor walking aid use (p  =  0.015), reduced accuracy with clock drawing (p  =  0.020), and nonsignificant trends toward using >10 medications, requiring assistance with >3 instrumental activities of daily living (IADLs), and higher treatment attendance. No significant differences were seen for time-to-treat (p  =  0.423). Conclusion Patients assessed virtually were similarly frail as the in-person controls but had increased use of walking aids, medications, IADL assistance, and cognitive impairment. In a Canadian context, frail and high socioeconomic status older adults continued to access treatment through virtual FPP assessments during the COVID-19 pandemic highlighting both the benefits of virtual care and potential inequity.