bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Relationship between Blood Vitamin A Levels and Diabetic Retinopathy: A Population-Based Study
Authors: Choi Yu-Jin , Kwon Jin-Woo , Jee Donghyun 
Published: June 2023

Abstract
We assessed the relationship between blood vitamin A levels and the risk of diabetic retinopathy. The study was taken for 11,727 participants aged 40 or older who participated in the Korean National Health and Nutrition Examination Survey. Vitamin A in the blood was classified into quartiles. Diabetic retinopathy was diagnosed by the Early Treatment for Diabetic Retinopathy Study. After adjusting confounding variables such as age, sex, smoking, cholesterol, diabetes prevalence period, glycated hemoglobin levels, and high blood pressure, the odd ratio (OR) of vitamin A at quartile level 4 for diabetic retinopathy was 0.32 (95% confidence interval [CI], 0.14 – 0.72, P for trend < 0.001). In male, the OR of quartile 3 level vitamin A for diabetic retinopathy was 0.11 (95% CI, 0.01 – 0.69, P for trend = 0.010). In adults under the age of 60, the OR of vitamin A at quartile level 3 for diabetic retinopathy was 0.10. (95% CI, 0.03 – 0.29, P for trend < 0.001). Vitamin A is associated with a low risk of diabetic retinopathy. Particularly, there is a more effective relationship in male and adults under the age of 60.
Heat stress in South America over the last four decades: a bioclimatic analysis
Authors: Miranda Vitor F. V. V. , Santos Djacinto Monteiro dos , Peres Leonardo F. , Salvador Coral , Nieto Raquel , Müller Gabriela V. , Thielen Dirk , Libonati Renata 
Published: June 2023

Abstract
The observed continuous rise in the frequency of extreme heat events in South America (SA) poses a serious challenge for public health. However, there is a lack on the understanding of the large-scale and long-term variability and trends of thermal stress in this continent. Accordingly, here we developed the first comprehensive bioclimatology of thermal stress over SA during the past four decades. Consecutive heat stress hours were analyzed using the Universal Thermal Climate Index (UTCI) from ERA5-HEAT reanalysis according to the Köppen–Geiger climate classification and also focusing on the 31 most populated cities of SA. Results show an inland/coastline contrast and a marked latitudinal northward increase in the number of hours under heat stress. Heat stress hotspots are located mostly around the Amazon, northern and central parts of SA with 26–35% of the hours between 1979 and 2020 under strong heat stress. The annual number of hours within heat stress increased significantly between 1979 and 2020, varying from + 1.16 hour/year to + 8.25 hour/year depending on the Köppen–Geiger class. The past 20 years (2000 forward) presented not only more consecutive hours under heat stress than the previous two decades in all the analyzed cities, but also a higher persistence of such extremes. The bioclimatology of thermal stress developed here may provide important guidelines to decision-makers for exploring adaptation strategies to increase societal resilience.
Tae-miR397 negatively regulates wheat resistance to Blumeria graminis
Authors: Guan Yuanyuan , Wei Zhiyuan , Zhou Luyi , Wang Kaige , Zhang Meng , Song Puwen , Hu Ping , Hu Haiyan , Li Chengwei 
Published: June 2023

Abstract
MicroRNA (miRNA) plays a crucial role in the interaction of plant-pathogen, which figures out that exploring more disease-associated miRNAs would aid in our understanding plant disease pathogenesis. However, the role of miRNA in wheat resistance is still largely unknown. In this study, we overexpressed tae-miR397 in wheat to investigate its function in wheat resistance to powdery mildew. The expression pattern analysis revealed that tae-miR397 expression was higher in young leaves than in other tissues, which was significantly decreased in wheat plants after Blumeria graminis (Bgt) infection and chitin treatment. Additionally, the expression of tae-miR397 was significantly down-regulated by salicylic acid and induced under jasmonate treatment. Overexpression of tae-miR397 enhanced wheat sensitivity to powdery mildew. The rate of Bgt spore germination and mycelial growth on transgenic wheat plants overexpressing tae-miR397 was faster than that on untransformed wild type plants. The target gene of tae-miR397 was predicted to be a wound-induced protein (WIP), and its function was investigated. We demonstrated that silencing WIP via barley stripe mosaic virus-induced gene silencing enhanced wheat susceptibility to powdery mildew. Furthermore, we found that tae-miR397 regulated wheat immunity by controlling pathogenesis-related gene expressions. Moreover, transgenic plants overexpressing tae-miR397 exhibited more tillers than wild type plants. These results reveal that tae-miR397 is a negative regulator of resistance against powdery mildew and highlight the role of tae-miR397 in positively regulating the tiller number.
Mapping of the recommended and optimal orthodontic implantation sites in the palate by cone-beam computed tomography
Authors: Zhu Zhengxian , Zhong Lin , Zhao Yicheng , Wang Xiaoting , Qian Wenhao , Ye Niansong 
Published: June 2023

Abstract
Objective
To measure the palatal thickness of soft tissues and the density of cortical bones to determine safe regions for the placement of orthodontic mini-implants and to examine the influence of sex and age on soft-tissue thickness and cortical bone density.
Materials and Methods
Cone-beam computed tomography images of 42 patients (22 males, 20 females), including 21 adults and 21 adolescents, were examined for this study. The palatal soft-tissue thickness and cortical bone density were measured at the coronal planes between the premolars (P4-5), between the second premolars and first molars (P5-6), and between the first molars and second molars (P6-7).
Results
Cortical bone density was greatest at P4-5, followed by and P5-6, P6-7 while the thickness of soft tissue was similar among the three planes. Cortical bone density decreased from anterior to posterior and from lateral to median. Soft tissue thickness increased from the median to the lateral and was similar anterior to the posterior. Palatal thickness and cortical bone density are influenced by sex, age, and their interactions. The recommended and optimal sites for palatal orthodontic mini-implants were then mapped.
Conclusions
Depending on soft tissue thickness and bone density, the preferred implant site tends to be more anterior and closer to the midpalatal suture region. Due to the diversity of palatal morphology among individuals, preferably with cone-beam CT.
Study of Hybrid Hydrogel Based on Polyvinyl Alcohol with Respect to Tailoring of the Internal Structure by Lecithin
Authors: Zhurauliova Darya , Smilek Jiri , Trudicova Monika , Pekar Miloslav 
Published: June 2023

Abstract
The presented paper is focused on preparation and subsequent characterization of structural and transport properties of hydrogels with double-network concerning their application potential. Hybrid hydrogels were prepared as a combination of synthetic polymer and natural polysaccharide, such as polyvinyl alcohol (PVA) and sodium alginate (SA), where mass ratio of those polymers was 1:1. In the preparation of the gel’s hybrid network a freeze-thawing cycle technique for physical cross-linking of PVA was used, also calcium ions were used for ionic cross-linking of sodium alginate. Lecithin as a modification of the internal structure of hybrid hydrogels was also used in gel’s system preparation. Physicochemical methods were used to characterise their viscoelastic, swelling and transport properties. Rheology measurements, specifically oscillation and amplitude tests, were used to study these mechanical properties. Morphology of the prepared hybrid hydrogels was confirmed by electron microscope scanning. Transport and release properties of gel systems were determined by diffusion experiments with the UV-VIS spectrometry detection method, in which an organic dye (methylene blue) was used as a model probe.
Design of n to 2n quantum reversible decoder using Modified Toffoli gate
Authors: Biswas Sujit , Goswami Rajat Subhra 
Published: June 2023

Abstract
Decoder is a combinational logic circuit; it changes a code into a collection of signals. Decoder is incredibly important circuit employed in combinational logic. Reversible logic may be a new research area due to its reduction in power dissipation and lots of researchers proposed differing types of approaches to construct a quantum reversible decoder. In this paper we tried to design n to 2n reversible decoder using modified TOFFOLI reversible logic gates. We proposed 1 to 21, 2 to 22 and 3 to 23, 4 to 24 and 5 to 25 reversible decoder and analyzed its lead in respect of quantum cost and garbage output. We tried to propose an algorithm that helps to design n to 2n reversible decoder. All circuit of the decoder are tested by using IBM Quantum Experience circuit composer.
Integrated proteogenomic and metabolomic characterization of papillary thyroid cancer with different recurrence risks
Authors: Qu Ning , Chen Di , Ma Ben , Zhang Lijun , Wang Yuting , Wang Hongping , Ni Zhaoxian , Wang Wen , Liao Tian , Xiang Jun , Wang Yu-Long , Jin Shi , Xue Dixin , Wu Weili , Wang Yu , Ji Qing-Hai , He Hui , Shi Rong-Liang , Piao Hai-long 
Published: June 2023

Abstract
Although papillary thyroid cancer (PTC) has a good prognosis, its recurrence rate is high and remains a core concern in the clinic. Molecular factors contributing to different recurrence risks (RRs) remain poorly defined. Here, we performed an integrative proteogenomic and metabolomic characterization of 102 Chinese PTC patients with different RRs. Genomic profiling revealed that mutations in MUC16 and TERT promoter as well as multiple gene fusions like NCOA4-RET were enriched by the high RR. Integrative multi-omics analysis further described the multi-dimensional characteristics of PTC, especially in metabolism pathways, and delineated dominated molecular patterns of different RRs. Moreover, the PTC patients were clustered into four subtypes (CS1: low RR and BRAF-like; CS2: high RR and metabolism type, worst prognosis; CS3: high RR and immune type, better prognosis; CS4: high RR and BRAF-like) based on the omics data. Notably, the subtypes displayed significant differences considering BRAF and TERT promoter mutations, metabolism and immune pathway profiles, epithelial cell compositions, and various clinical factors (especially RRs and prognosis) as well as druggable targets. This study can provide insights into the complex molecular characteristics of PTC recurrences and help promote early diagnosis and precision treatment of recurrent PTC.
Effects of Physical Exercise on Internet Addiction among College Students: A Mediated Model with Moderation
Authors: Yu Haoran 
Published: June 2023

Abstract
OBJECTIVE
To investigate the effects of physical exercise on Internet addiction, as well as the mediating role of stress and the moderating role of self-control.
METHODS
An online questionnaire was used to survey 473 college students and the data collected were statistically analyzed using SPSS 26.0, AMOS 24.0, and PROCESS 3.4.
RESULTS
Physical exercise significantly and negatively predicted Internet addiction (β = -0.568, P < 0.01); stress mediated the relationship between physical exercise and Internet addiction, 95% CI = [-0.260,-0.138]; self-control moderated the effects of physical exercise and stress on Internet addiction, and an increase in the level of self-control increase enhances the negative effect of physical exercise on Internet addiction (β = -0.095, P < 0.01) and decreases the positive prediction of stress on Internet addiction (β = -0.210, P < 0.01).
Conclusion
Regular physical exercise and a higher level of self-control can reduce the probability of Internet addiction.
Effect of the structure and hydrothermal conditions on the strength of polymer-ceramic composites
Authors: Walczak Agata , Maria Niewczas Agata , Daniel Pieniak , Wioletta Rogula-Kozłowska , Paweł Kordos 
Published: June 2023

Abstract
Polymer composites properties depend on their structures. Good initial properties are often not enough because they change under environmental conditions. Thus studies of functional properties should provide information about both, their initial properties and their behavior under operating conditions. The aim of the study was to determine the effect of the structure of dental composites and the environmental hydrothermal conditions on their mechanical strength. Light cured polymer matrix ceramic composites (LC PMCCs) were investigated. Commercially available composites and experimental materials with different contents of filler particles were tested. Compressive strength, three-point and biaxial flexural strength tests were carried out. The tests were performed using composites without a load history, composites exposed to a moist environment and to hydrothermal aging. In most cases, changes in compressive strength under the effect of the moist environment and hydrothermal aging were non-significant. Values of compressive and three-point flexural strength obtained for universal type materials were higher than those obtained for flow type composites, while the latter were characterized by higher values of biaxial flexural strength. Hydrothermal aging caused the greatest decrease (approx. 60%) in the three-point flexural strength of universal type composites. The strength degradation of flow type materials was about 40%.
Automated differentiation of mixed populations of free-flying mosquitoes under semi-field conditions
Authors: Johnson Brian J , Weber Michael , Al-Amin Hasan Mohammad , Geier Martin , Devine Gregor J 
Published: June 2023

Abstract
Great advances in automated identification systems, or ‘smart traps’, that differentiate insect species have been made in recent years, yet demonstrations of field-ready devices under free-flight conditions remain rare. Here, we describe the results of mixed-species identification using an advanced optoacoustic smart trap design under free-flying conditions. Point-of-capture classification was assessed using mixed populations of congeneric (Aedes albopictus and Aedes aegypti) and non-congeneric (Ae. aegypti and Anopheles stephensi) container-inhabiting species of medical importance. Culex quinquefasciatus, also common in container habitats, was included as a third species in all assessments. At the aggregate level, mixed collections of non-congeneric species (Ae. aegypti, Cx. quinquefasciatus, and An. stephensi) could be classified at accuracies exceeding 95% (% error = 2.08–3.29%). Conversely, error rates increased when analysing individual replicates (mean % error = 48.6; 95% CI 8.1–68.6) representative of daily trap captures and at the aggregate level when Ae. albopictus was released in the presence of Ae. aegypti and Cx. quinquefasciatus (% error = 4.7–42.5%). These findings highlight the many challenges yet to be overcome but also the potential operational utility of optoacoustic surveillance in low diversity settings typical of urban environments.
A strategy of hob-grinding the cylindrical riblet surface for drag reduction using the grinding wheel with ordered abrasive pattern
Authors: Lyu yushan , Guoxun Wang , Li Xingshan , Shu Qilin , Wang Boliang 
Published: June 2023

Abstract
Riblet drag reduction surface is a biomimetic surface, and studying its manufacturing technology has practical significance for solving its engineering applications. Based on the principle of gear hobbing, a hob-grinding strategy for hob-grinding the cylindrical riblet surface of reducing drag using superhard grinding wheels with engineered spiral abrasive pattern is proposed. To achieve this method, firstly, based on the analysis of the geometric topology features of the riblet surface, an engineered CBN grinding wheel with spiral arrangement of abrasive particles was designed based on the principle of gear hobbing machining; Then, the relationship between hob-grinding parameters and abrasive particle arrangement parameters on the parameters of the ground riblets was analyzed, and the process measures to increase the number of riblets on the cylindrical surface, the ratio of the riblet height to spacing, and the impact on the surface geometry of the riblets were explored; Finally, the surface of the cylindrical riblet surface was ground through experiments. The research results indicate that using this strategy can grind the cylindrical riblet surface, and the proposed process strategy of increasing the number of riblets and the ratio of the height to spacing is feasible.
Single image dehazing using frequency-guided filtering and progressive physics learning
Authors: Huang Yufeng , Xiong Shuai , Yang Siqi 
Published: June 2023

Abstract

Current learning-based dehazing ways simply rely on the paired synthetic datasets and physical models, which can hardly describe the complicated degradation for practical applications. These methods still struggle to achieve the haze removal, color distortion and detail restoration instantly, by ignoring the frequency characteristic differences and prior knowledge importance. To address these problems, we propose an unpaired stage-wise framework integrating Frequency-guided filtering and Progressive physics learning in an adversarial Dehazing network, called as FPD-Net. To be specific, a guided filter based on frequency information is employed to decompose the high and low frequency components for better feature extraction. We further merge the prior and physical knowledge to form progressive physics learning, which can produce pleasing haze-free outputs with visibility and reality. For better atmospheric light estimation, the variational auto-encoder and KL loss are included to represent the illumination message. Extensive experiments on both synthetic and real datasets prove that our designed FPD-Net achieves better performance visually and quantitatively than the comparing dehazing models.
A novel sequence analysis for one cyclic peptide immobilized on a single bead by MALDI-TOF-MS/MS focusing on discovery of medicinal medium sized molecules based on protein-protein interactions
Authors: Kasama Takeshi , Nokihara Kiyoshi 
Published: June 2023

Abstract
One cyclic peptide immobilized on one single gel-type bead have been attracting attention as resources for the discovery of medicinal medium sized molecules, although high throughput characterization of peptides has been a bottleneck. Previously we have reported construction of high-quality bead-libraries of which diversity was ca 200 million, and encountered some difficulties such as restrictions of Edman-degradation and sequence dependent cleavability with unclear termini on partial hydrolysis, which resulted efficacy problems for construction of a later second library for which numbers of candidates were increased. The present work describes direct liberation from beads by a one-pot reaction using 2-nitro-5-thiocyanatobenzoic acid followed by off-line nanoscale liquid chromatography/matrix assisted laser desorption ionization time-of-flight mass spectrometry analyses to realize faster and routine sequencing. The present method is useful for investigation of protein-protein interactions as well as discovery of drug candidates.
Comparison of Feature Selection via Semi supervised denoising autoencoder and traditional approaches For Software Fault-prone Classification
Authors: Amara Dalila , Rabai Latifa 
Published: June 2023

Abstract
Software quality is the capability of a software process to produce software product satisfying the end user. The quality of process or product entities is described through a set of attributes that may be internal or external. For the product entity, especially, the source code, different internal attributes are defined to evaluate its quality like complexity and cohesion. Concerning external attributes related to the product environment like reliability, their assessment is more difficult. Thus, they are usually predicted by the development of prediction models based on software metrics as independent variables and other measurable attributes as dependent variables. For instance, reliability like other external attributes is generally measured and predicted based on other quality attributes like defect density, defect count and fault-proneness. The success of machine learning (ML) and deep learning (DL) approaches for software defect and faulty modules classification as crucial attributes for software reliability improvement is remarkable. In recent years, there has been growing interest in exploring the use of deep learning autoencoders, a type of neural network architecture, for software defect prediction. Therefore, we aim in this paper to explore the semi-supervised denoising DL autoencoder in order to capture relevant features. Then, we evaluate its performance in comparison to traditional ML supervised SVM technique for fault-prone modules classification. The performed experiments based on a set of software metrics extracted from NASA projects achieve promising results in terms of accuracy and show that denoising DL autoencoder outperforms traditional SVM technique.
Advanced exploitation of high-tin bronze alloys at medieval Talgar in Kazakhstan
Authors: Park Jang Sik , Savelieva Tamara 
Published: June 2023

Abstract

A metallographic examination of a bronze assemblage from the medieval site in Talgar, Kazakhstan, found high-tin bronze used in various domestic items requiring advanced functional properties. The main techniques observed involve high-tin alloys employed as spacers and binding agents in making double-walled thermal containers and the optimized thermo-mechanical treatments practiced in the α + β phase field. The addition of zinc together with tin and lead was also observed. We explored the engineering processes implemented and the level of pertinent technological sophistication.
Revolutionizing Hydrogen Fuel Production: Exceptional Hydrogen Evolution Reaction Performance of Metal Oxides Coated Kish Graphite Electrodes with Mathematical Modelling
Authors: Manojkumar Kaliyannan , Kandeeban Rajagopalan , Batoo Khalid Mujasam , Hussain Sajjad , K Saminathan 
Published: June 2023

Abstract
This investigation highlights the successful synthesis and comprehensive characterization of a robust and reliable copper-based electrocatalyst, with an emphasis on its exceptional performance in hydrogen evolution reaction (HER). Copper oxide, silicon dioxide, and graphite were synthesized and advanced characterization techniques such as XPS, FT-IR, XRD, SEM, and EDS were employed to thoroughly analyze the synthesized materials. The resulting copper nanoparticles supported on silica substrate exhibited a calculated Tafel slope of 37 mV/dec in 0.5 M of H2SO4 solution. Furthermore, a mathematical model based on the Tafel equation and Langmuir-Hinshelwood model was developed to describe the HER reaction kinetics of an electrocatalysts in aqueous solution, which displayed improved HER performance due to its larger active surface area. The composite exhibited high probability for HER in a wide pH range and applied potential, with the composite R2 demonstrating the best stability under reaction conditions. These findings suggest that the copper-based electrocatalyst has significant potential to reduce the cost of producing hydrogen fuel and promote environmentally friendly energy sources.