bluuebunny/crossref_metadata_2025_split huggingface dataset:
Economy-energy-environment nexus: the potential of agricultural value-added toward achieving China’s dream of carbon neutrality
Authors: Raihan Asif , Voumik Liton Chandra , Mohajan Babla , Rahman Md Shoaibur , Zaman Md Rashed 
Published: November 2023

AbstractAgriculture is one of the major sources of global emissions that cause climate change while agricultural value added helps to boost the economy in developing countries like China. Therefore, this study aims to investigate the long- and short-term influences of agricultural value added, economic growth (GDP), and energy use on carbon dioxide (CO2) emissions in China. The autoregressive distributed lag (ARDL) method was used by using annual time series data from 1990 to 2021. The empirical outcomes revealed that a 1% increase in the agricultural value added would cut CO2 emissions by 1.37% in the long-run and 0.65% in the short-run. However, this study found that both GDP and energy consumption have a positive and statistically significant effect on CO2 emissions. Furthermore, an inverted U-shaped association between economic growth and environmental pollution was discovered by spotting the positive coefficient of GDP and the negative coefficient of GDP squared, which proved the validity of the environmental Kuznets curve (EKC) hypothesis. The robustness of the ARDL outcomes was verified by using the fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and canonical cointegration regression (CCR) approaches. This study offers a comprehensive set of policy recommendations aimed at enhancing agricultural value added in China. These suggestions focus on the promotion of climate-smart agriculture, the integration of renewable energy sources in agricultural production, and the adoption of advanced technologies within agricultural systems. Implementing these measures would contribute to the achievement of China’s goal of carbon neutrality.
Graphical Abstract
Intracranial electrical brain stimulation as an approach to studying the (dis)continuum of memory experiential phenomena
Authors: Curot Jonathan , Servais Anaïs , Barbeau Emmanuel J. 
Published: November 2023

Abstract
Déjà vu and involuntary autobiographical memories (IAM) can be induced by intracranial electric brain stimulation in epileptic patients, sometimes in the same individual. We suggest that there may be different types of IAM which should be taken into account and provide several ideas to test the hypothesis of a continuity between IAM and déjà vu phenomena.
Does inhibitory (dys)function account for involuntary autobiographical memory and déjà vu experience?
Authors: Burns Thomas F. 
Published: November 2023

Abstract
External cues and internal configuration states are the likely instigators of involuntary autobiographical memories (IAMs) and déjà vu experience. Indeed, Barzykowski and Moulin discuss relevant neuroscientific evidence in this direction. A complementary line of enquiry and evidence is the study of inhibition and its role in memory retrieval, and particularly how its (dys)function may contribute to IAMs and déjà vu.
Are involuntary autobiographical memory and déjà vu cognitive failures?
Authors: Mace John H. 
Published: November 2023

Abstract
This commentary supports Barzykowski and Moulin's model, but departs from it on the question of functionality, where IAMs and déjà vu fractionate. The authors seem to say that IAMs are functional, while déjà vu is not. As there is no hard evidence supporting the idea that IAMs are functional, I argue that both phenomena should be viewed as cognitive failures.
Chocolate unicorns and smiling teddy biscuits: analysis of the use of child-directed marketing on the packages of Australian foods
Authors: Jones Alexandra , Shahid Maria , Morelli Georgia , Howes Kylie , Riesenberg Devorah , Sievert Katherine , Pettigrew Simone , Sacks Gary 
Published: November 2023

AbstractObjective:The use of food packaging as a vehicle for marketing to children is under investigated. Our objective was to determine the prevalence and types of child-directed promotional techniques used on food packaging in Australia.Design:Based on existing literature and regulations, we developed a framework to classify on-pack child-directed promotional techniques involving the use of characters and other elements that appeal to children. We analysed the packaging of all products in eight food categories available for sale from supermarkets in 2019 and recorded the use of child-directed promotions on pack. We assessed the number and proportion of products displaying child-directed promotional techniques overall and assessed the healthiness of products using child-directed promotions against four indicators of healthiness to provide summary data overall and for the manufacturers who most frequently employed child-targeted strategies.Setting:Data were collected from the FoodSwitch database in Sydney, Australia.Results:901/8006 (11·3 %) products displayed one or more child-directed on-pack element. Most frequent was on foods for infants and young children (n 315), confectionery (n 283), snack foods (n 172) and dairy (n 168). Personified characters were the most commonly used element (n 512). Products using child-directed promotional techniques scored poorly on all four indicators of healthiness: mean health star rating 2·34 (out of 5); 81 % ultra-processed and 6·1 % and 4·5 % products eligible to market to children under Western Pacific and Mexican nutrient profiling schemes, respectively.Conclusions:Australian children are targeted by promotional techniques on the packaging of unhealthy food products. Stronger regulation of these techniques is warranted to protect children’s health.
Spatial–temporal analysis and spatial drivers of hepatitis-related deaths in 183 countries, 2000–2019
Authors: Li Jie , Xu Zejia , Zhu Hong 
Published: November 2023

AbstractHepatitis is the seventh leading cause of mortality worldwide and is the only communicable disease where mortality is increasing, yet the long-term spatial–temporal variation at global scale and its possible causes, i.e., drivers, remain unknown. Firstly, this study employed the measure of spatial autocorrelation, Moran’s I, and the measure of local spatial cluster, Getis-Ord Gi*, to characterize the spatial variation of mortality due to hepatitis in 183 countries globally for years 2000, 2010, 2015 and 2019. Then, a novel spatial statistical method, named the Geographical Detector, was utilized to investigate eight possible influencing factors, i.e., risk factors, of the spatial–temporal variation of mortality due to hepatitis. The results showed significant disparities of hepatitis-related mortality rates among countries. Hot spots, representing locations with higher mortality rates, were consistently observed in Africa, East Asia, and Southeast Asia, while the cold spots, representing locations with lower mortality rates, were predominantly found in Europe and the Americas. Potential spatial drivers of hepatitis mortality, identified by geographical detector, include “health expenditure”, “universal health coverage”, and “per capita income”. However, “hepatitis B immunization” and “total population” were not identified as significant spatial drivers for hepatitis mortality The findings highlighted the critical role of socioeconomic factors in the variations in hepatitis mortality, and pointed out relative importance of increasing health expenditure, per capita income, and improve universal health coverage on alleviating global hepatitis-related mortality.
Development of a deep learning based image processing tool for enhanced organoid analysis
Authors: Park Taeyun , Kim Taeyul K. , Han Yoon Dae , Kim Kyung-A , Kim Hwiyoung , Kim Han Sang 
Published: November 2023

AbstractContrary to 2D cells, 3D organoid structures are composed of diverse cell types and exhibit morphologies of various sizes. Although researchers frequently monitor morphological changes, analyzing every structure with the naked eye is difficult. Given that deep learning (DL) has been used for 2D cell image segmentation, a trained DL model may assist researchers in organoid image recognition and analysis. In this study, we developed OrgaExtractor, an easy-to-use DL model based on multi-scale U-Net, to perform accurate segmentation of organoids of various sizes. OrgaExtractor achieved an average dice similarity coefficient of 0.853 from a post-processed output, which was finalized with noise removal. Correlation between CellTiter-Glo assay results and daily measured organoid images shows that OrgaExtractor can reflect the actual organoid culture conditions. The OrgaExtractor data can be used to determine the best time point for organoid subculture on the bench and to maintain organoids in the long term.
Assessment of aortic to peripheral vascular stiffness and gradient by segmented upper limb PWV in healthy and hypertensive individuals
Authors: Wang Jue , Jing Congcong , Hu Xiaojuan , Cui Ji , Tang Qingfeng , Tu Liping , Zhao Shiju , Huang Jinlian , Guo Dandan , Li Yongzhi , Xu Jiatuo 
Published: November 2023

AbstractTheoretically pulse wave velocity (PWV) is obtained by calculating the distance between two waveform probes divided by the time difference, and PWV ratio is used to assess the arterial stiffness gradient (SG) from proximal to distal. The aim was to investigate segmental upper-limb PWV (ulPWV) differences and the effects of hypertension and or aging on each ulPWV and SG. The study collected multi-waveform signals and conduction distances from 167 healthy individuals and 92 hypertensive patients. The results showed significant differences between ulPWVs (P < 0.001), with increased and then decreased vascular stiffness along the proximal transmission to the distal peripheral artery and then to the finger. Adjusted for age and sex, ulPWVs in hypertension exceeded that of healthy individuals, with significant differences between groups aged ≥ 50 years (P < 0.05). The hrPWV/rfPWV (heart-radial/radial-finger) was reduced in hypertension and differed significantly between the aged ≥ 50 years (P = 0.015); the ratio of baPWV (brachial-ankle) to ulPWV differed significantly between groups (P < 0.05). Hypertension affected the consistency of rfPWV with hfPWV (heart-finger). The findings suggest that segmented ulPWV is instrumental in providing stiffness corresponding to the physiological structure of the vessel. The superimposition of hypertension and or aging exacerbates peripheral arterial stiffness, as well as alteration in stiffness gradient.
Prevalence and factors associated with metabolic syndrome in university students and academic staff in Bangladesh
Authors: Ali Nurshad , Samadder Mitu , Shourove Jahid Hasan , Taher Abu , Islam Farjana 
Published: November 2023

AbstractMetabolic syndrome (MetS) is a group of medical conditions that increase the risk of cardiovascular disease, stroke, and type 2 diabetes. While there are numerous studies on the prevalence of MetS in the general adult population worldwide, limited information exists regarding its prevalence among university students and academic staff. This study aimed to determine the prevalence of MetS and associated risk factors among Bangladesh university students and academic staff. For this cross-sectional study, 583 participants were randomly selected from university students (n = 281) and academic staff (n = 302) in Bangladesh. The participants' fasting blood samples were collected, and their serum lipid profile levels, fasting blood glucose, and other parameters were measured using standard methods. MetS was defined according to the NCEP-ATP III model guidelines. Additionally, a questionnaire was administered to the participants to gather information on socio-demographics, lifestyle risk behaviours, and personal medical history. Multivariate logistic regression models were used to determine the risk factors associated with MetS. Overall, the prevalence of MetS was 27.7% in students and 47.7% in staff. There was a significant difference (p < 0.01) in MetS prevalence between male students (34.8%) and female students (17.2%). In contrast, it was comparatively higher in female staff (52.3%) than in male staff (45.8%), although the difference was not statistically significant. The prevalence of MetS and its components increased with age in student and staff groups. The most common component of MetS was low levels of HDL-C, which affected 78% and 81.4% of the students and staff, respectively. Logistic regression modelling showed that increased age, BMI, hypertension, dyslipidemia, low physical activity, and smoking were significantly associated with MetS in students (at least p < 0.05 for all cases). On the other hand, increased age and BMI, hypertension, and dyslipidemia were significantly associated with MetS in academic staff (at least p < 0.05 for all cases). In conclusion, this study indicates a high prevalence of MetS in university students and staff in Bangladesh. Age, BMI, hypertension and dyslipidemia were independently associated with the risk of MetS in both groups. The findings emphasize the importance of interventions for students and staff in academic settings in Bangladesh. It is crucial to implement health promotion activities such as healthy diet and exercise programs more rigorously. Further research with more representative samples is needed to get more clear insights into MetS prevalence in this particular population subgroup for targeted interventions.
Unbalanced sex-ratio in the Neolithic individuals from the Escoural Cave (Montemor-o-Novo, Portugal) revealed by peptide analysis
Authors: Granja Raquel , Araújo Ana Cristina , Lugli Federico , Silvestrini Sara , Silva Ana Maria , Gonçalves David 
Published: November 2023

AbstractThe sex profile estimation of pre-historic communities is often complicated by the commingled and scattered nature of skeletal assemblages. Demographic profiles are usually lacking and provide very truncated representations of these populations but proteomic analysis of sex-specific amelogenin peptides in tooth enamel brings new promise to these studies. The main objective was to obtain the sex profile of the human assemblage recovered from the Neolithic cave-necropolis of Escoural (Montemor-o-Novo, southern Portugal) through liquid chromatography-mass spectrometry. The secondary objective was to analyse sex-specific linear enamel hypoplasias (LEH), and to test the reliability of canine odontometric sex estimation. Sex estimation through peptide analysis was carried out in 36 left permanent canines which were macroscopically examined for the presence of LEH. The canine buccolingual diameter was used for odontometric sex estimation. The obtained sex ratio (0.5:1, M:F) is biased to female individuals, probably due to cultural factors since the natural sex ratio of the human population falls between 0.95:1 and 1.02:1 (M:F). A high frequency of LEH was observed, but with no significant sexual differences (p = 0.554). The mean LEH age of onset occurred at 3 years of age, with no significant differences between the sexes (p = 0.116), and was possibly related to the weaning process. Odontometric sex estimation revealed a correct classification of 80%, with a high number of males mistakenly attributed to females. This study is one of the largest samples subjected to peptide analysis, and thus demonstrates its usefulness on the research of commingled and scattered skeletal assemblages.
Tensile-shear properties of steel-Al adhesively bonded dissimilar joints and the effect of Al plate thickness
Authors: Uematsu Yoshihiko , Ozeki Yoshihiro , Toasa Caiza Paul Dario 
Published: November 2023

AbstractLap shear dissimilar joints between aluminium (Al) alloy, A6061-T6, and stainless steel, type 304, were fabricated by adhesive bonding. Three Al plates with different thicknesses were used to investigate the effect of the Al plate thickness on the tensile-shear properties, namely the effect of bending stiffness of Al plates. The maximum tensile-shear loads increased with increasing Al plate thicknesses. The fracture through the adhesive layer (cohesive fracture) occurred when the Al plate was the thickest, while the interface fracture between Al plate and adhesive layer appeared on the fracture surface with decreasing Al plate thickness. Fatigue strengths also increased with increasing Al plate thickness. When the fatigue strengths were normalized by the tensile strengths, the effect of the plate thickness became negligible. FEM analyses revealed that the stress concentration at the edge of adhesive on Al side decreased with increasing Al plate thickness, which could be related to the dependence of tensile and fatigue properties on the Al plate thickness.
Blood urea nitrogen concentration is associated with severe abdominal aortic calcification in adults: a cross-sectional investigation
Authors: Xue Kun , Xing Shanshan 
Published: November 2023

AbstractThe purpose of this research is to examine the correlation between blood urea nitrogen (BUN) and severe abdominal aortic calcification (AAC) among American adults aged 40 years and older. A total of 2757 participants in the NHANES from 2013 to 2014 were included in the final analysis. BUN was measured by means of the enzymatic conductivity rate method. AAC scores were quantified by the Kauppila scoring system, and severe AAC was defined as an AAC score ≥ 6. Multivariable logistic regression and restricted cubic splines were used in the analyses. In the multivariable logistic regression model, the highest BUN level (log 2-transformed) was associated with an increased risk of severe AAC [odds ratio (OR) = 1.77, 95% CI 1.17, 2.71]. The restricted cubic spline plot displayed a reverse l-shaped association between BUN (log2-transformed) and severe AAC (p for nonlinearity < 0.001). In addition,the interactions of BUN were not discover. In general, there is a positive correlation between BUN and the risk of severe AAC.
Membrane-bound myosin IC drives the chiral rotation of the gliding actin filament around its longitudinal axis
Authors: Sato Yusei , Yoshimura Kohei , Matsuda Kyohei , Haraguchi Takeshi , Marumo Akisato , Yamagishi Masahiko , Sato Suguru , Ito Kohji , Yajima Junichiro 
Published: November 2023

AbstractMyosin IC, a single-headed member of the myosin I family, specifically interacts with anionic phosphatidylinositol 4,5-bisphosphate (PI[4,5]P2) in the cell membrane via the pleckstrin homology domain located in the myosin IC tail. Myosin IC is widely expressed and physically links the cell membrane to the actin cytoskeleton; it plays various roles in membrane-associated physiological processes, including establishing cellular chirality, lipid transportation, and mechanosensing. In this study, we evaluated the motility of full-length myosin IC ofDrosophila melanogastervia the three-dimensional tracking of quantum dots bound to actin filaments that glided over a membrane-bound myosin IC-coated surface. The results revealed that myosin IC drove a left-handed rotational motion in the gliding actin filament around its longitudinal axis, indicating that myosin IC generated a torque perpendicular to the gliding direction of the actin filament. The quantification of the rotational motion of actin filaments on fluid membranes containing different PI(4,5)P2concentrations revealed that the rotational pitch was longer at lower PI(4,5)P2concentrations. These results suggest that the torque generated by membrane-bound myosin IC molecules can be modulated based on the phospholipid composition of the cell membrane.
MiR-200b categorizes patients into pancreas cystic lesion subgroups with different malignant potential
Authors: Benke Márton , Zeöld Anikó , Kittel Ágnes , Khamari Delaram , Hritz István , Horváth Miklós , Keczer Bánk , Borka Katalin , Szücs Ákos , Wiener Zoltán 
Published: November 2023

AbstractExtracellular vesicles (EV) carry their cargo in a membrane protected form, however, their value in early diagnostics is not well known. Although pancreatic cysts are heterogeneous, they can be clustered into the larger groups of pseudocysts (PC), and serous and mucinous pancreatic cystic neoplasms (S-PCN and M-PCN, respectively). In contrast to PCs and S-PCNs, M-PCNs may progress to malignant pancreatic cancers. Since current diagnostic tools do not meet the criteria of high sensitivity and specificity, novel methods are urgently needed to differentiate M-PCNs from other cysts. We show that cyst fluid is a rich source of EVs that are positive and negative for the EV markers CD63 and CD81, respectively. Whereas we found no difference in the EV number when comparing M-PCN with other pancreatic cysts, our EV-based biomarker identification showed that EVs from M-PCNs had a higher level of miR-200b. We also prove that not only EV-derived, but also total cyst fluid miR-200b discriminates patients with M-PCN from other pancreatic cysts with a higher sensitivity and specificity compared to other diagnostic methods, providing the possibility for clinical applications. Our results show that measuring miR-200b in cyst fluid-derived EVs or from cyst fluid may be clinically important in categorizing patients.
Unboxing machine learning models for concrete strength prediction using XAI
Authors: Elhishi Sara , Elashry Asmaa Mohammed , El-Metwally Sara 
Published: November 2023

AbstractConcrete is a cost-effective construction material widely used in various building infrastructure projects. High-performance concrete, characterized by strength and durability, is crucial for structures that must withstand heavy loads and extreme weather conditions. Accurate prediction of concrete strength under different mixtures and loading conditions is essential for optimizing performance, reducing costs, and enhancing safety. Recent advancements in machine learning offer solutions to challenges in structural engineering, including concrete strength prediction. This paper evaluated the performance of eight popular machine learning models, encompassing regression methods such as Linear, Ridge, and LASSO, as well as tree-based models like Decision Trees, Random Forests, XGBoost, SVM, and ANN. The assessment was conducted using a standard dataset comprising 1030 concrete samples. Our experimental results demonstrated that ensemble learning techniques, notably XGBoost, outperformed other algorithms with an R-Square (R2) of 0.91 and a Root Mean Squared Error (RMSE) of 4.37. Additionally, we employed the SHAP (SHapley Additive exPlanations) technique to analyze the XGBoost model, providing civil engineers with insights to make informed decisions regarding concrete mix design and construction practices.