bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical analysis of effect of the substrate geometry and tensile load on the strength of bonded single lap joint
Authors: Metehri Aicha , Madani Kouider 
Published: June 2023

Abstract

With the development of structural adhesives, single joint assemblies have increasingly become the most widely used assembly process in many industrial fields and even in civil engineering due to their simple geometry and structural efficiency. The resistance of the assembly requires a careful analysis of the behavior of the adhesive joint since the latter has the weakest mechanical properties compared to the adherents. several solutions have been proposed in order to improve the mechanical strength of the assembly by taking into consideration modifications to the edges of the adhesive and of the two adherends in order to attenuate as much as possible the high concentration of stress at the level of the adhesive. In this study, a 3D numerical model was developed by Abaqus to evaluate the influence of changes in the geometry of the edges of the adherends and the adhesive on the mechanical strength of a single lap joint under uniaxial tensile stress. Two geometric configurations have been proposed, taking into account an adhesive fillet and a removal of material at the level of the free edges of the adherends. The objective is to analyze the impact of these geometric modifications on the reduction of the concentration of stresses on the one hand of the assembly and more particularly on the adhesive and to explore how this new design of the joints can contribute to improve shear and peel strength of bonded joints. In this respect, several parameters have been highlighted, namely the value of the applied stress, adhesive thickness and length, adherends thickness, adhesive fillet and modified free edge of the adherends on the value of the Von Mises stress in the assembly and in the adhesive joint. The results show clearly that a geometric modification at the two free edges of the two adherends and adhesive markedly improves the strength of the assembly and reduces the high stress concentration in the adhesive.
Development of a standardised framework with universal core indicators for flood resilience assessment
Authors: Xu Shiying , Chen Hao , Law Adrian Wing-Keung , Zhu Feng , Daniel Martini 
Published: June 2023

Abstract

Understanding the flood resilience of an area is an important task for decision-makers, practitioners, and community members. However, despite the wide acceptance of the need for resilience assessment in recent years, there has been no clear agreement on what flood resilience exactly constitutes and thus no consensus on the way in which it should be quantified. As such, this study aims to identify the most pivotal indicators to establish a standardised sustainable flood resilience framework (SFRF) for an overall measure of resilience before a flood event. The framework uses the United Nations Sustainable Development Goals (UN SDGs) indicators as a benchmark to establish a measurement structure that can be consistently implemented globally, using publicly sourced data. Users of the SFRF will be able to assess whether their target area has successfully achieved the conditions required for flood resilience and as a result, the associated UN SDG targets. A detailed review of 105 journal articles related to flood resilience assessment was first conducted to identify the most frequently used indicators globally across the different frameworks in the literature. A hybrid method using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach combined with the Analytic Network Process (ANP) was then adopted to rank the top indicators in terms of their importance in evaluating the flood resilience. Finally, two examples are provided to show how the SFRF established in this study can enable users to make a universally standardised assessment of the level of flood resilience for a specific area.
Intra-urban variability of long-term exposure to PM2.5 and NO2 in five cities in Colombia
Authors: Rodriguez-Villamizar Laura A. , Rojas Yurley , Grisales Sara , Mangones Sonia C. , Cáceres Jhon J. , Agudelo-Castañeda Dayana M. , Herrera Víctor , Marín Diana , Jiménez Juan G. Piñeros , Belalcázar-Ceron Luis C. , Rojas-Sánchez Oscar Alberto , Villegas Jonathan Ochoa , López Leandro , Rojas Oscar Mauricio , Vicini María C. , Salas Wilson , Orrego Ana Zuleima , Castillo Margarita , Sáenz Hugo , Hernández Luis Álvaro , Weichenthal Scott , Baumgartner Jill , Rojas Néstor Y. 
Published: June 2023

Abstract
Rapidly urbanizing cities in Latin America experience high levels of air pollution which are known risk factors for population health. However, the estimates of long-term exposure to air pollution are scarce in the region. We developed intraurban land use regression (LUR) models to map long-term exposure to fine particulate matter (PM2.5) and nitrogen dioxide (NO2) in the five largest cities in Colombia. We conducted air pollution measurement campaigns using gravimetric PM2.5 and passive NO2 sensors for two weeks during both the dry and rainy seasons in 2021 in the cities of Barranquilla, Bucaramanga, Bogotá, Cali, and Medellín, and combined these data with geospatial and meteorological variables. Annual models were developed using multivariable spatial regression models. The city annual PM2.5 mean concentrations measured ranged between 12.32 𝛍g/m3 and 15.99 𝛍g/m3 while NO2 concentrations ranged between 24.92 𝛍/m3) and 49.15 𝛍g/m3. The PM2.5 annual models explained 82% of the variance (R2) in Medellín, 77% in Bucaramanga, 73% in Barranquilla, 70% in Cali, and 44% in Bogotá. The NO2 models explained 65% of the variance in Bucaramanga, 57% in Medellín, 44% in Cali, 40% in Bogotá, and 30% in Barranquilla. Most of the predictor variables included in the models were a combination of specific land use characteristics and roadway variables. Cross-validation suggest that PM2.5 outperformed NO2 models. The developed models can be used as exposure estimate in epidemiological studies, as input in hybrid models to improve personal exposure assessment, and for policy evaluation.
Left ventricular remodeling in rheumatic heart disease – trends over time and implications for follow-up in childhood
Authors: MacDonald Bradley , Tarca Adrian , Causer Louise , Maslin Katie , Bruce Di , Schreiber-Wood Rachel , Kumar Mohit , Ramsay James , Andrews David , Budgeon Charley , Katzenellenbogen Judith , Bowen Asha C. , Carapetis Jonathan , Friedberg Mark K. , Yim Deane 
Published: June 2023

Abstract

Background: Rheumatic heart disease (RHD) is the most common form of acquired heart disease worldwide. In RHD, volume loading from mitral regurgitation leads to left ventricular (LV) dilatation, increased wall stress, and ultimately LV dysfunction. Improved understanding of LV dynamics may contribute to refined timing of intervention. We aimed to characterize and compare left ventricular remodeling between rheumatic heart disease (RHD) severity groups by way of serial echocardiographic assessment of volumes and function in children.
Methods: Children with RHD referred to Perth Children’s Hospital (formally Princess Margaret Hospital) (1987-2020) were reviewed. Patients with longitudinal pre-operative echocardiograms at diagnosis, approximately 12 months and at most recent follow-up, were included and stratified into RHD severity groups. Left ventricular (LV) echocardiographic parameters were assessed. Adjusted linear mixed effect models were used to compare interval changes.
Results: 146 patients (median age 10 years, IQR 6-14 years) with available longitudinal echocardiograms were analysed. Eighty-five (58.2%) patients had mild, 33 (22.6%) moderate and 28 (19.2%) severe RHD at diagnosis. Mean duration of follow-up was 4.6 years from the initial diagnosis. Severe RHD patients had significantly increased end-systolic volumes (ESV) and end-diastolic volumes (EDV) compared to mild/moderate groups at diagnosis (severe versus mild EDV mean difference 27.05 ml/m2, p<0.001, severe versus moderate EDV mean difference 14.95 ml/m2, p=0.006). Mild and moderate groups experienced no significant progression of changes in volume measures. In severe RHD, LV dilatation worsened over time. All groups had preserved cardiac function.
Conclusions: In mild and moderate RHD, the lack of progression of valvular regurgitation and ventricular dimensions suggest a stable longer-term course. Significant LV remodeling occurred at baseline in severe RHD with progression of LV dilatation over time. LV function was preserved across all groups. Our findings may guide clinicians in deciding the frequency and timing of follow-up and may be of clinical utility during further reiterations of the Australia and New Zealand RHD Guidelines.
Structural alterations in the amygdala and impaired social incentive learning in a mouse model of a genetic variant associated with neurodevelopmental disorders
Authors: Hiroi Noboru , Hiramoto Takeshi , Sumiyoshi Akira , Kato Risa , Yamauchi Takahira , Kang Gina , Matsumura Bailey , Stevens Lucas , Ryoke Rie , Nonaka Hiroi , Machida Akihiro , Nomoto Kensaku , Mogi Kazutaka , Kikusui Takefumi , Kawashima Ryuta 
Published: June 2023

Abstract
Copy number variants (CNVs) are robustly associated with psychiatric disorders and their dimensions and changes in brain structures and behavior. However, as CNVs contain many genes, the precise gene-phenotype relationship remains unclear. Although various volumetric alterations in the brains of 22q11.2 CNV carriers have been identified in humans and mouse models, it is unknown how the genes in the 22q11.2 region individually contribute to structural alterations and associated mental illnesses and their dimensions. Our previous studies have identified Tbx1, a T-box family transcription factor encoded in 22q11.2 CNV, as a driver gene for social interaction and communication, spatial and working memory, and cognitive flexibility. However, it remains unclear how TBX1 impacts the volumes of various brain regions and their functionally linked behavioral dimensions. In this study, we used volumetric magnetic resonance imaging analysis to comprehensively evaluate brain region volumes in congenic Tbx1 heterozygous mice. Our data show that the volumes of anterior and posterior portions of the amygdaloid complex and its surrounding cortical regions were reduced in Tbx1 heterozygous mice. Moreover, we examined the behavioral consequences of an altered volume of the amygdala. Tbx1 heterozygous mice were impaired for their ability to detect the incentive value of a social partner in a task that depends on the amygdala. Our findings identify the structural basis for a specific social dimension associated with loss-of-function variants of TBX1 and 22q11.2 CNV.
Status and Influence Factors of Sleep Quality in Adolescents with Mixed Anxiety and Depression Disorder: A Cross-Sectional Study
Authors: He Yunling , Liao Rong , Wang Dongxue , Wu Yunlian , Ren Kai 
Published: June 2023

Abstract
Background: Adolescence represents a vulnerable and critical turning point for sleep quality, especially in adolescents with mixed anxiety and depression disorder (MADD). It’s particular interest for the incidence and influence factors.
Methods: The characteristics and their sleep quality by Pittsburgh Sleep Quality Index (PSQI) were measured, respectively. Single-factor analysis and multiple stepwise liner regression analysis were carried out to explore the independent influence factors of sleep quality in adolescents with MADD.
Results: The PSQI scores of MADD adolescents was (10.31±3.92). The following variables influenced the PSQI scores of adolescents with MADD: phase of study, sex, smoking, depressive symptoms, loneliness, emotion regulation strategies as expressive suppression and cognitive reappraisal of MADD adolescents. The model was able to explain 56.5% of variance in sleep quality of adolescents with MADD (F = 2.956, P =0.003, R2 = 0.576, adjusted R2 = 0.565).
Conclusion: The sleep quality in adolescents with MADD is important. Psychologists are suggested to pay more attention to their sleep quality, which can aggravate their current emotional problems, leading to more serious psychiatric disorders. Support programme in order to guide adolescents with MADD to adopt more positive emotion regulation strategies and less negative emotion regulation strategies, reduce negative emotions such as depression and loneliness can effectively improve their sleep quality.
A web-based Probabilistic Medical Computation platform based on Bayesian network
Authors: Li Xuemeng , Li Mei , Zhao Dongsheng 
Published: June 2023

Abstract
Objective
The objective of this study was to develop a medical service platform utilizing Bayesian networks for medical modeling and risk inference, with minimal configuration requirements. The platform was designed to provide accurate and efficient disease diagnosis and treatment plans for medical professionals.
Methods
The platform consists of four layers: database layer, Bayesian network construction layer, Bayesian network inference layer, and client layer. The database layer accepts user data uploads. The Bayesian network construction and inference layers are implemented for Bayes network learning and inference based on the bnlearn package of Python. The client layer allows users to define Bayesian network learning parameters and presents inference results in the form of bar charts.
Results
The code for our prototype system is available on Github (https://github.com/rose1203/BayesNet-platform-for-medical-computation.git). Our user-friendly and flexible platform allows professionals and IT experts to easily configure appropriate parameters for network structure and parameter learning. User-specified Bayesian networks can be saved for inference. Additionally, the platform supports data visualization for medical staff, which provides doctors with an intuitive understanding of patients' potential disease progression. Based on this information, doctors can formulate corresponding treatment plans and care measures.
Conclusion
Our interactive online platform, which is based on Bayesian networks, provides healthcare professionals and researchers with a valuable tool to make informed decisions. Combined with models based on real-world data and individual patient cases, our platform can promote personalized healthcare and enhance the quality of healthcare services.
Single-Pixel THz imaging using mechanical SLM and compressive sensing
Authors: Roueinfar Mohammad , Aghakasiri Ali , Salmanian Mahdi , Bashiri Abbas , Babanezhad Saeed 
Published: June 2023

Abstract
We propose a single-pixel terahertz (THz) imaging system at a frequency of 100 GHz using a mechanical spatial light modulator (SLM). In this method, the THz beam passes through the object and masks and then is received by a single-pixel THz detector. The masks donot allow the THz beam to pass through all points of the target, so for each mask, an incomplete image of the target is focused in thedetector by a lens. To recover the image with N pixels, N different measurements are required by the detector. Masks, using their unique pattern, allow some THz beams to pass through and radiate to the object and not allow someTHz beams to pass through. To create a complete image of the object, we need to masks as many as the number of pixels, which we achieved mechanically. To increase the imaging speed, we use fewer masks, so the number of measurements will be less than the number of pixels, which leads to the formation of an incomplete image per mask. In order to form a complete image of the object and compensate for the number of measurements per mask, we use a compressive sensing (CS) algorithm. Applying the CS algorithm, the object image with dimensions of 10 cm and a resolution of 20 × 20 pixels is reconstructed. The reconstruction results of the object image indicate the superiority of TV norm method compared to L1-magic and SL0 methods in terms of RMSE criteria.
The Research About Morphometric Characteristics on Leptograpsus Crabs
Authors: GENCER Övgü 
Published: June 2023

Abstract
The process of this research includes the morphometric characteristics of 200 Leptograpsus crabs emphasized in the data set handled by Campbell and Mahon. To determine the meat composition, differences such as gender, color, and other variables were investigated by considering the frontal lobe, posterior width, shell width, body depth, and shell lengths. As a consequence of the study, it was finalized that the meat ratios of Leptograpsus crabs, which were previously separated into two different colors, differ according to their colors. Simultaneously, when the nutritional ratios of crabs with high protein are concerned, it is seen that the ratio of midline length to the maximum width of orange crabs is higher. Moreover, it was supposed that the ratio of posterior region width to anterior region width of blue crabs was higher than that of orange crabs.
Trade is improving global aquatic food consumption patterns
Authors: XU Jun , Zhao Kangshun , Gaines Steven , Molinos Jorge , Zhang Min 
Published: June 2023

Abstract
Globalization of fishery products is playing a significant role in shaping the harvesting and use of aquatic foods, but the vigorous debate has focused on whether the trade is a driver of the inequitable distribution of aquatic foods. Here, we develop species-level mass balance and trophic level identification datasets for 174 countries and territories to analyze global aquatic food consumption patterns, trade characteristics, and impacts from 1976 to 2019. We find that per capita consumption of aquatic foods has increased significantly at the global scale, but the human aquatic food trophic level (HATL), i.e., the average trophic level of aquatic food items in the human diet, is declining (from 3.42 to 3.18) because of the considerable increase in low-trophic level aquaculture species output relative to that of capture fisheries since 1976. Moreover, our study finds that trade can improve food security by contributing to increasing the availability and quality of aquatic foods in >60% of the world’s countries. Trade has also reduced geographic differences in the quality of aquatic food consumption among countries over recent decades. We suggest that there are important opportunities to widen the current focus on productivity gains and economic outputs to a more equitable global distribution of aquatic food quantity and quality.
Quantifying the effects of practicing a semantic task according to subclinical schizotypy
Authors: Diao Mingyi , Demchenko Ilya , Asare Gifty , Chen Yelin , Debruille J. Bruno 
Published: June 2023

Abstract
Greater adaptability of patients should go with easier psychosocial rehabilitation. Medications should thus also be chosen according to their impact on practice effects, as they measure adaptability. We are thus developing a pre-treatment test aimed, in fine, at assessing the impact of medications on these effects. Here, we report the practice effects observed across the two sessions of a semantic categorization task. Participants (n = 47) completed the Schizotypal Personality Questionnaire (SPQ) and performed this task twice, 1.5 hours apart. Practice was found to reduce reaction times in both low- and high-SPQ scorers. It was also found to decrease the amplitudes of the N400 event-related brain potentials elicited by semantically matching words in low SPQ scorers only, which showed the sensitivity of the task to schizotypy. Both RTs and N400 amplitudes were also found to have a good test-retest reliability across the two sessions. This task could thus be a valuable tool. On-going studies are assessing the impacts of fully deceptive placebos and of real antipsychotic medications on these effects of practice. This should, later, help psychiatrists to choose the best medication for the psychosocial rehabilitation of a patient.
Prognostic role of CRABP2 in lung cancer：A meta-analysis
Authors: Yang Guang , Yin Qifan , Wang Wenhao , Xu Siwei , Liu Huining 
Published: June 2023

Abstract
Background
The prognostic value of cellular retinoic acid-binding protein 2 (CRABP2), in lung cancer patients remains to be uncertained. Therefore, our research attempted to assess the relationship between CRABP2 and survival analysis in lung cancer patients through meta-analysis.
Method
Related literature retrieved from Cochrane Library, Ovid, Embase, PubMed, the CNKI, and the Web of Science. The latest update of the search was May 1, 2023. The outcome indicators included as effective measures in the study were hazard ratio (HR), and 95% confidence interval (CI). The Stata 12.0 software was used to analyze the data.
Results
A total of 4 studies were finally enrolled in our meta-analysis. The increased plasma level of CRABP2 predicted poor OS in lung cancer patient with a combined HR of 1.14 (95% CI: 1.00–1.30), and were not associated with poor PFS with combined HR:1.15% CI: 0.63–2.09) in lung cancer patients.
Conclusions
Our meta-analysis found the increased plasma level of CRABP2 was associated with poor OS independently in NSCLC patients. The plasma CRABP2 level may be an indicator of biological aggressiveness of the tumor. Our research was promising regarding the feasibility and utility of plasma CRABP2 as a novel prognostic biomarker in NSCLC, and the findings warrant further investigation.
Frailty assessment to individualize treatment in older patients with lymphoma
Authors: SANCHEZ ANA ISABEL HORMIGO , Garcia Alberto Lopez , Fernandez Ignacio Mahillo , Askari Elham , Morillo Daniel , SAEZ MARIA ANGELES PEREZ , Riesco Miriam , Urrutia Celia , Peromingo Francisco Javier Martinez , Cordoba Raul , Montalvo Juan Ignacio Gonzalez 
Published: June 2023

Abstract
Purpose We present a study analyzing the application of a systematic protocol for specialized comprehensive geriatric assessment (CGA) in patients with lymphoma over 70 years of age, permitting frailty-based patient classification, individualized care recommendations, and treatment personalization.Methods Lymphoma patients over 70 years of age referred to the Geriatric Hematology clinic at Fundación Jiménez Díaz University Hospital (Madrid, Spain) for specialized CGA between 1 May 2016 and 31 March 2021 were included in the study. Patients were referred us a part of our clinical care practice for assessment using a systematic CGA protocol by a qualified geriatrician.Results Ninety-three patients (55.9% women) were included, with a median age of 81.1 years (+/- 5.7). 23 patients (24.7%) were classified as robust (type I), 30 patients (32.3%) as pre-fragile (type II) with potentially reversable deficits, 38 patients (40.9%) as fragile (type III), and only 2 patients (2.2%) as presenting with a poor overall prognosis or requiring palliative care (type IV). All patients received oncospecific treatment, with treatment modifications carried out in 64.5% of patients based on CGA results. Statistically significant differences in overall survival (p 0.002), response to treatment (p < 0.001) and likelihood of increased frailty at the end of treatment (p 0.024) were observed, with type III-IV patients showing worse overall survival, lower response rates, and higher incidence of frailty.Conclusion Performance of standardized, systematic CGA by geriatricians permits older patients with lymphoma to be classified according to frailty, with significant differences in terms of clinical outcomes across groups.