bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of game use with Loneliness and Social Isolation: a nationwide Korean study
Authors: Jung Jin Young , Choi Han Mil , Hong Jin Pyo , Kim Myung Hyun , Kim Dahae , Park So Hee , An Ji Hyun 
Published: August 2023

Abstract
Objective
The aim of this article is to examine the correlation between social isolation, loneliness, and the use of online games. Conflicting conclusions have been drawn in previous studies on this topic due to small sample sizes and the confounding effects of psychiatric disorders. To address these limitations, the authors conducted a nationwide study that gives consideration to sociodemographic variables and psychiatric disorders.
Methods
A total of 5,511 Koreans responded to the Loneliness and Social Isolation Scale-6 (LSIS-6), Game Overuse Screening Questionnaire (GOS-Q) and Korean version of the Composite International Diagnostic Interview (K-CIDI) between January 2021 and March 2021. Participants were classified as non-gamer, low-risk gamer, and high-risk gamer according to their game usage. Multivariate linear regression was performed to evaluate the association of game usage with loneliness and social isolation after propensity matching controlling for sociodemographic data and presence of psychiatric disorders.
Results
Low-risk gamers reported significantly lower loneliness scores (0.53±1.02) compared to other gaming groups (non-risk: 0.94±1.44, high-risk: 1.02±1.64). Among male participants, non-risk gamers (2.49±1.51) showed lower social network scores than low-risk gamers (2.10±1.11) and high –risk gamers (2.09±1.31). Loneliness (p = 0.001) was more strongly correlated with game usage than social support (p = 0.839) or network (p = 0.055). The relationship between loneliness and game usage was significantly stronger in non-risk (ß = 0.41) and high-risk (ß = 0.44) gamers than in low- risk gamers.
Conclusion
Increased use of game does not show a linear relationship with loneliness and isolation when correcting for confounding factors including psychiatric disease. Rather, low-risk game use was associated with lower scores for loneliness and isolation. Further studies exploring other factors that affect gaming overuse, loneliness and social isolation are needed.
Comparative Analysis of Wettability Behavior and Glossiness of CAA and FPL Coatings on Aluminum Sheets
Authors: Nasresfahani Mohamad Reza , Asghari Saeed , Mirahmadi Seyed Javid , Gorabi Hadi 
Published: August 2023

Abstract
The use of anodized coatings as a substrate for adhesive bonding of aluminum is quite common and widely accepted. However, over time and with exposure to heat, the behavior of the coating changes and its wettability reduces. We investigate the wettability of the coating by measuring the contact angle of the coatings. Aluminum sheets are coated with two types of anodizing and FPL coatings for this purpose. The results show that the wettability of all coatings is stable for 16 hours after the coating is applied. However, the wettability decreases dramatically over long time periods. The anodized coating shows more dramatic changes after 30 days than the FPL coating. Also, in both types of coatings, with increasing heating temperature, the wettability decreases and the contact angle increases. The changes in the anodized coatings are more significant than in FPL coatings. Measuring the glossiness of the coating before and after heating indicates that the gloss and the surface roughness of the coating do not change.
Investigation Of The Effect Of Using Cavity Disinfectant Before Cementation Of Cad/Cam Blocks On Shear Bond Strength
Authors: Öz Tuğba , Topçu Fulya Toksoy , Aydın Numan , Ersöz Bilge 
Published: August 2023

Abstract
Objective
The aim of this study was to investigate the effect of cavity disinfectant application on the shear bond strength of current CAD/CAM blocks to dentin.
Materials and Methods
Samples of three CAD/CAM blocks, Celtra Duo, Vita Enamic, and Tetric CAD (2×3×3 mm) were obtained from each material under water cooling. Chlorhexidine digluconate was applied to half of the samples, while the other half remained untreated. Variolink DC and Variolink LC resin cements were used to bond the blocks to the teeth.
Results
All samples underwent testing to measure shear bond strength. Fracture failure patterns were examined using a stereomicroscope. Statistical analysis was performed using a two-way analysis of variance (ANOVA). In general, teeth treated with 2% chlorhexidine digluconate exhibited lower shear bond strength values. Dual-cure resin cement demonstrated higher shear bond strengths compared to light-cure cement for the tested specimens. Among the CAD/CAM blocks, Celtra Duo exhibited the highest bond strength, while Tetric CAD showed the lowest bond strength value.
Conclusion
The results of the study showed that cavity disinfectants had a mostly negative effect on the bonding of CAD/CAM blocks to dentin.
Clinical Relevance:
The use of chlorhexidine before restoration had no beneficial effect on bond strength.
Self-Assembly Method of Glucose Oxidase in a Fully Packaged Microfluidic Glucose Biosensor
Authors: Peng Zhen , Li Zongyuan , Zhang Zhimi , Liao Jingru , Xie Mingzhe , Xia Yuanlin , Xia Cao , Wang Zhuqing 
Published: August 2023

Abstract
In this work, a self-assembly approach is proposed to bio-functionalize the fully microfluidic biosensors for catalyzing glucose based on the designed and fabricated microfluidic chip with suspending structure by micro-electro-mechanical system technology. Glucose oxidase is successfully immobilized on the surface of microelectrodes to build composite layers by the proposed self-assembly approach, with cysteamine applied as a functional linker. The biological activity and stability of glucose oxidase is optimized by the electrodeposition of chitosan membrane. Experiments results suggest that the fully packaged microfluidic biosensor integrated with self-assembled glucose oxidase can effectively detect the existence of glucose in sample solution. The detection range of glucose concentration is 0 ~ 10 mM. With SNR of 3, the detection limit is 51.2 µM and sensitivity is 23.47 ± 1.36 µA·cm− 2·mM− 1 within low concentration range of 0 ~ 0.1 mM, while the detection limit is 497 µM and the sensitivity is 10.63 ± 1.28 µA·cm− 2·mM− 1 among high concentration range of 0.1 ~ 10 mM. The proposed study provides a straightforward method to construct a microfluidic biosensor, which is promising in miniaturized clinical medical device.
Evaluation of trends and analysis of air temperature and wind on the Antarctic Peninsula using Extreme Value Theory
Authors: de Oliveira Marilia Mitidieri Fernandes , de Oliveira Jorge Luiz Fernandes , Gilleland Eric , Ebecken Nelson Francisco Favilla 
Published: August 2023

Abstract

The west side of the Antarctic Peninsula (AP) shows both warming and cooling since the middle of the last century, however is more characterized by warming because of the disintegration of floating ice and strength of westerly winds. Two climatic databases (reanalysis from 1979 to 2020 and surface stations from 1947 to 2020) are analyzed to investigate trends in extreme air temperatures and wind components in west, east sector and over the AP. Non-parametric statistical trend tests and extreme value approaches are used. A set of annual, monthly and seasonal series are fitted. The extremal index is applied to measure the degree of independence of monthly excesses over a threshold considered as extreme events. Increasing trends are verified in the annual and monthly temperature and wind series. The greatest trends are observed for seasonal series from reanalysis without change-point in summer and winter. Decreasing trends are observed for maximum temperature in summer and positive trends mainly for the westerly winds over the AP. But in winter, the maximum temperature shows an increase trend also over the AP. Most of reanalysis seasonal minimum temperature and wind components, as well as maximum and minimum temperatures from stations present increasing trends with change-point but, tending to stability after the breakpoints. The generalized distribution (GEV) is used to fit temperatures and westerly wind between South America (SA) and north of the AP. The 100-years return levels exceed the maximum value of the maximum temperature in Esperanza and maximum westerly winds at several grid points. Pareto and Poison distributions are applied for the maximum temperatures from stations and the 100-year return levels are not exceeded. Our findings show significant positive trends for monthly wind components near the SA in the region of the westerly winds whose changes in position influence directly the SAM, which modify the atmospheric patterns in the South Hemisphere (SH). A predominance of seasonal warming is identified, which may impact the climate with consequences not only locally but also in other region.
Development of multifunctional bionanocomposite films based on corn starch incorporating roselle extract and TiO2 nanoparticles
Authors: Hao Yanling Hao , Gao Qiqi Gao , Song Xiaoshuang Song , Wang Shihui Wang 
Published: August 2023

Abstract

The biodegradable and multifunctional nanocomposite films incorporated with TiO2 nanoparticles (T) and roselle extract (RE) in corn starch (CS) matrix were successfully developed by the solution casting method. The physical and functional properties of bionanocomposite films were comparatively evaluated as well as an analysis of the microstructure of films. The properties of CS film could be significantly altered by incorporating TiO2 and/or RE, and the CSRE, CST and CSTRE films all exhibited improved mechanical properties, higher barrier properties against water vapor and UV light. The composite films containing RE also obtained pH sensitive ability, showing color visibly variations to different pH values. The CSTRE film performance 1.52 times higher tensile strength and 27.1% lower water vapor permeability than CS film accompanying enhanced UV light blocking capacity. Scanning electron microscopy (SEM) appeared more compact and homogeneous microstructure in CSRE and CSTRE films compared to CS film and the Fourier transform infrared (FTIR) spectroscopy and X ray diffraction (XRD) results indicated that there were good interactions between TiO2 nanoparticles, RE and starch molecules. Antioxidant and antimicrobial assays revealed that the antioxidant activity of bionanocomposite films were mainly affected by RE and the antimicrobial impression related to both RE and TiO2. The CSTRE film possessed strong antioxidant activity and exhibited obvious antimicrobial activity against S. aureus and E. coli. It suggested that the multifunctional bionanocomposite films incorporated TiO2 nanoparticles and RE with corn starch could be a potential approach for developing sustainable active food packaging.
WITHDRAWN: Short-time Fabrication of Electrochemical Anodized SnO and SnO2 Nanoparticles: Catalytic Property Enhancement
Authors: Mojar Ali Jabar , Hussein Emad H. 
Published: August 2023

Abstract
In this article, we reported, for the first time, the fabrication of a mixture of tin oxide nanoparticles and porous using low-cost, safe, and short-time electrochemical anodization technique. The nanostructures (NS) were fabricated using pure Sn foil with no need for doping or forming a heterostructure with other materials. For high-efficient catalysts, the dependence of photoactivity on the NS morphology was motivated. Hence, the modification in the surface morphology with the anodization time change was investigated. Consequently, the electrochemical process on the foil was implemented at a constant potential of 8 V for 10, 15, and 20 min. X-ray diffraction (XRD) revealed the tetragonal crystalline structure of SnO and \({\text{S}\text{n}\text{O}}_{2}\). Also, nanoparticles and porous morphologies were observed by field-emission scanning electron microscopy (FE-SEM). Furthermore, energy gaps of \({\text{S}\text{n}\text{O}}_{2}\) estimated by fluorescence measurements were found to expand to about 4.14 eV. All the fabricated NS exhibited high degradation efficiency for methylene blue (MB) dye, which was up to 87% after 120 min of solar irradiation. A comparison of the results with other reported findings suggests that the anodized NS are very promoted photocatalysts.
Use of Computed Tomography Coronary Calcium Score for Prediction of Cardiovascular Events in Cancer Patients: A retrospective cohort analysis
Authors: Patel Sinal , Franco Francisco X. , McDonald Malcolm , Rivera Carlos , Perez-Villa Bernardo , Collier Patrick , Moudgil Rohit , Gupta Neha , Sadler Diego B. 
Published: August 2023

Abstract
Background:CT- coronary calcium score, is one of the most studied and widely available modalities in cardiovascular medicine. Coronary artery calcium score (CACS) is an established predictor of coronary artery disease. The ‘standard of care’ diagnostic modality to measure CACS is ECG-gated Cardiac Multi-Detector Computed Tomography. There is convincing evidence of a strong association between CACS and major cardiovascular (CV) outcomes in asymptomatic individuals. Cancer patients (C) may have a higher risk for CV disease than non-cancer patients (NC) related not only to cancer treatments but also to shared biological factors and pathways. Thus, identifying tools for early detection of CV disease in this population is of utmost importance.
Methods:A retrospective cohort analysis was performed with patients from Cleveland Clinic Florida and Ohio from 2017 to 2021. Patients who had CACS were identified, C who had cancer diagnosis before CACS were matched to age, sex with NC. CV events were compared between cancer and non-cancer patients after their index CACS, and matched control and propensity analysis were conducted.
Results: 10,742 patients had CACS; 703 cancer patients had CACS and were were eligible. Extensive CACS (>400) were significantly higher in cancer, 94 (13.37 %) vs non-cancer patients, 76 (10.83%), P= <0.01.
Furthermore, after propensity matched analysis, CACS > 400 was 14.8 % in C vs 9.6 % in NC, P= <0.05. CV events were similar in both cohorts (p=NS), despite less CV risk factors in cancer patients. (P=<0.05). For the combined moderate (101-400) & extensive (>400) CACS, the prevalence of Stroke and peripheral arterial disease, a marker of systemic atherosclerosis, was significantly higher in patients with cancer (P<0.01).
Conclusions: Despite having fewer CV risk factors in our study, similar CACS in cancer patients are suggestive of a higher prevalence of CV disease independent of traditional risk factors. High CACS and the overall prevalence of vascular events were more frequent in patients with cancer. Higher prevalence of peripheral arterial disease and cerebrovascular accident further suggests the increased atherosclerotic burden in C.
Sex-dependent vulnerability for Wistar rats model following intranasal instillation with Klebsiella pneumoniae ATCC 43816 causing lobar pneumonia.
Authors: Diboue Patrick Hervé Betote , Ndedi Esther Del Florence Moni , Gayap Sonia Raïssa Matchuenkam , Bayengue Sandrine Suzanne Beack , Fifen Rodrigue , Ouedraogo Raogo , Agbor Gabriel A. , Semde Rasmané , Nnanga Nga , Nyegue Maximilienne Ascension 
Published: August 2023

Abstract
Background Klebsiella pneumoniae has become one of the major threats to public health as it causes nosocomial and community-acquired infections like lobar pneumonia. This infection causes acute inflammation in the lung, characterized by the recruitment of polymorphonuclear cells, generating free radicals, and decreasing the endogenous antioxidant balance system. Many experimental studies have focused on the induction, progression and resolution of infection up to its peak, but these documented processes remain highly random and their sex dependence un-elicited. These fluctuations of physiopathological parameters would impact disease progression depending on the animal’s model and bacterial strain used. The present study investigated the sex-dependent vulnerability of Wistar rats to K. pneumoniae ATCC 43816 lobar pneumonia induced by the intranasal instillation method.
Methods Experimental pneumonia was induced by K. pneumoniae ATCC 43816 in male and female Wistar rats following intranasal instillation. The physiopathogenesis of the disease was studied by bacteriological and histopathological exams, histomorphometric analysis of the blood and/or lung tissue, and body weight loss in infected animals. In addition, the overall severity of lesions was determined by the total score obtained by averaging the individual scores from the same group of animals.
Results The K. pneumoniae ATCC 43816 strain showed inoculation dose-, incubation time of the disease- and sex-dependent- differences in its ability to induce lobar pneumonia. Evaluation of different parameters showed that the disease peaked on day 15 post-inoculation, with more pathogenic effects on female rats. This observed sex-dependence difference in Wistar rats was mainly highlighted by the determined lethal dose 50 (LD50), bacterial load count in whole blood and lung tissues, body weight loss, inflammatory granulomas forming and diffuse alveolar damages. The pathogenicity was confirmed by scoring the severity of pathologic lesions of lung tissues.
Conclusions The results obtained highlighted the gender-dependency in the physiopathogenesis processes of K. pneumoniae ATCC 43816 induced-lobar pneumonia, in Wistar rats. Female Wistar rats’ susceptibility is useful in studying pathology and in preclinical trial investigations of new treatments for infectious pneumonia.
Enhanced heterogeneous graph convolutional networks with dual-level attention for aspect-based sentiment analysis
Authors: Zou Haochen , Wang Yongli 
Published: August 2023

Abstract
Aspect-based sentiment analysis aims to analyze the sentimental tendencies of specific aspect terms in the target sentence. With the continuous development of deep learning technology, graph convolutional networks have been widely applied to sentiment analysis tasks and achieved satisfactory results. However, when constructing graph convolutional networks based on text contents, the model considers the contextual words and their interdependent relationships without distinction. Meanwhile, most models are built separately, without fully employing the information of part of speech and dependency relationships in the text dependency parsing. In response to the above issues, we design a heterogeneous graph neural networks model based on dual node-level and type-level attention mechanisms. The heterogeneous information network is embedded into graph convolutional networks for considering the attribute characteristics of different node types. The dual-level attention mechanism can capture both the importance between diverse adjacent nodes and the significance of different node types to the central node. The relationship between aspect terms and sentiment terms is acquired by adjusting the weights of different types of nodes. To address the issue that graph neural networks have difficulty in fully utilizing dependency parsing information, we embedded syntactic and semantic dependency enhancement. By introducing the dependency tree and the dependency parsing into the graph convolutional networks architecture, it can comprehensively model the syntax relationship and analyze the sentence structure, thereby distinguishing the important contextual information. The experimental results on multiple public datasets indicate the effectiveness of the proposed model in aspect-based sentiment analysis.
Investigation of Bonding Strength of Medium Density Fiberboard by Using Ultrasonic Testing
Authors: Xu Zhaojun , Zhang Jing , Wang Yuxuan , Wang Xinzhou , Zhu Nanfeng 
Published: August 2023

Abstract
Medium density fiberboard (MDF) is a widely used wood-based material, where the internal bond strength is a crucial mechanical performance index. Currently, the measurement of internal bond strength is achieved through destructive testing, which has the disadvantages of a complex procedure and a long testing time. This article proposes a model for measuring the dynamic compression modulus of elasticity (DCME) based on elastic dynamics. The model involves attaching a piezoelectric ceramic sheet to each side of the board, one for excitation and the other for response. By measuring the resonance frequency based on the response amplitude change, the DCME can be determined using the proposed model. Results indicated that there is a highly linear correlation between DCME and internal bond strength, with an r-squared value above 0.96. As the DCME increases, the internal bond strength improves, and the internal bond strength can be predicted based on the DCME. The article analyzes the model from the perspectives of acoustic transmission and ultrasonic directional analysis and verifies the correctness of the model through acoustic theory.
Immunoinformatics-Driven Multiepitope Vaccine Targeting Streptococcus mutans for Dental Caries Prevention
Authors: Pangabam Bandana Devi , Naorem Romen Singh , Teli Anju Barhai , Fekete Csaba 
Published: August 2023

Abstract
Streptococcus mutans is a major causative agent of dental caries and associated infections, posing significant challenges in oral healthcare. To develop an effective vaccine against S. mutans, we employed an immunoinformatics approach to identify potential vaccine candidates and design a multiepitope vaccine. The genomes of S. mutans were analyzed, and five core-proteins (PBP2X, PBP2b, MurG, ATP-F, and AGPAT) were selected as vaccine candidates based on antigenicity and conservation. Linear B-cell and T-cell epitopes were predicted from these proteins, and four B-cell epitopes and ten T-cell epitopes were chosen for vaccine construction. The multiepitope vaccine comprised 10 CTL epitopes, 5 HTL epitopes, and 5 linear B-cell epitopes linked with appropriate linkers. A 50S ribosomal L7/L12 protein was used as an adjuvant at the N-terminal. The final vaccine construct exhibited high antigenicity, solubility, and stability. The tertiary structure was modeled using AlphaFold v.2 and refined with GalaxyRefine. The refined 3D model had improved quality scores and structural stability. Molecular docking simulations revealed strong interactions between the vaccine and Toll-Like Receptors (TLRs). In silico immune simulation demonstrated the vaccine's ability to trigger both humoral and cell-mediated immune responses. The vaccine design strategy presented here provides a promising platform for developing a potential multiepitope vaccine against S. mutans, offering a novel approach to combat dental caries and associated infections. Further, experimental evaluations should be performed to validate its efficacy and safety as a potential vaccine candidate for dental health.