bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perceived Social Support: Correlation with Depression and Symptom Severity in Atrial Fibrillation Patients
Authors: Elsheikh Mohamed M. , Sadek Ismail , Abdel-Hassib Mohammed , Elmoshy Mohamed , Adwi Mohamed 
Published: September 2023

Abstract
Background
Atrial fibrillation can significantly impair daily functioning and impact the patient's quality of life, both physically and psychologically. Approximately one-third of patients with atrial fibrillation experience anxiety and depression. This study aimed to examine the relationship between perceived social support and the severity of atrial fibrillation (AF) symptoms among depressed and nondepressed AF patients.
Methods
This cross-sectional study was conducted at Al-Azhar University Hospitals, assessing depression using the Patient Health Questionnaire depression scale (PHQ-9) and Multidimensional Scale of Perceived Social Support (MSPSS) to assess social support. AF was graded according to the modified European Heart Rhythm Association (mEHRA).
Results
Our study involved a total of 93 atrial fibrillation patients; 32 were nondepressed compared to 61 with depression; 41.9% of the participants were female, with a mean age of 63.2 ± 10.89. Most participants (59.2%)were classified as having grade II AF. Only 17.2% of the participants reported low levels of social support. Among depressed patients, 15.1% reported severe depression. Linear regression analysis found that social support was negatively correlated with depression scores (β = -0.735). Multivariate logistic regression revealed that social support was negatively associated with depression (OR = 0.465, P = 0.001). Ordinal regression showed that low social support was the most significant variable affecting AF grades (OR = 35.939, P = 0.024).
Conclusion
Our findings highlight the need for social support for patients with AF; higher social support was negatively associated with depression, and lower social support was significantly associated with higher AF grades. This implies that healthcare practitioners should prioritize the psychological aspects to improve the health outcomes of patients with AF.
Anti-Müllerian hormone levels are associated with skeletal maturity in adolescent girls in the Fels Longitudinal Study
Authors: Ford McKenzie L , Choh Audrey C , Gonzalez Brandon , Lindheim Steven R , Stanczyk Frank Z , McGinnis Lynda K , Czerwinski Stefan A , Lee Miryoung 
Published: September 2023

Abstract
The role of anti-Müllerian hormone (AMH), a potential marker of the hypothalamic-pituitary-ovarian axis, is not well established in adolescent females. Most studies use secondary sexual characteristics or chronological age as predictors for AMH. Skeletal maturity, an indicator of bone development, has not been examined to predict AMH. This study sought to examine patterns of change in AMH in relation to skeletal maturity. Demographics, anthropometry, hand-wrist radiographs, and cardiometabolic risk factors from 88 females (212 observations), between the ages of 8 to 18 years from the Fels Longitudinal Study were used in this study. AMH was analyzed using ELISA from stored frozen serum samples. Generalized linear mixed effect modeling was used. In the stepwise regression models, log-transformed AMH (AMHlog) was regressed on relative skeletal age as the skeletal maturity indicator (calculated as chronological age minus skeletal age) and adjusted for chronological age, adiposity, and cardiometabolic risk factors. Skeletal maturity significantly predicted lower AMHlog (β= -0.073, SE=0.032, p=0.023). Glucose was significantly associated with decreases in AMHlog (β= -0.008, SE=0.004, p=0.044). Chronological age modeled as a cubic function was not significant. AMH and skeletal maturity may provide correlated information on growth and pubertal status in adolescent females.
Effects of Breastfeeding Knowledge and Health Beliefs Regarding Gestational Diabetes Mellitus on the Breastfeeding Intention of Pregnant Women
Authors: Park Seungmi , Kim Byungcheol , Paudel Jamuna , Park Hye Ok 
Published: September 2023

Abstract

Purpose: Research has shown that breastfeeding knowledge related to gestational diabetes mellitus (GDM) and GDM-related breastfeeding health beliefs affect breastfeeding intention. However, research has been limited on the effects of pregnant women’s GDM-related breastfeeding knowledge and GDM-related breastfeeding health beliefs on breastfeeding intentions. Therefore, this study aimed to examine the effect of GDM-related breastfeeding knowledge and GDM-related breastfeeding health beliefs on breastfeeding intention.
Methods: A total of 229 healthy pregnant women visiting an antenatal clinic in Nepal participated in this study between January and March 2023. They completed a questionnaire that assessed their GDM-related breastfeeding knowledge, GDM-related breastfeeding health beliefs, and breastfeeding intention. The data were analyzed using descriptive statistics, independent t-tests, one-way analysis of variance, Scheffé’s post-hoc test, and logistic regression analysis.
Results: Of the participants, 86.9% (n = 199) indicated their breastfeeding intention, even with a relatively low level of GDM-related breastfeeding knowledge. Logistic regression analysis of the factors influencing breastfeeding intention yielded a significant model (χ2 = 38.80, p < .001) with significant variables. GDM-related breastfeeding knowledge (OR: 1.0, 95% CI: 1.02-1.40), GDM-related breastfeeding health beliefs (OR: 1.09, 95% CI: 1.04-1.15), and immediate family history of diabetes mellitus (OR: 5.38, 95% CI: 1.98-14.620) were found to affect breastfeeding intentions.
Conclusion: Efficient interventions regarding breastfeeding for pregnant women should be implemented. They should provide sufficient information on the benefits of breastfeeding to prevent the long-term influence of GDM and strategies reinforcing GDM-related breastfeeding health beliefs through positive breastfeeding experiences.
Slaughter performances, body composition and carcass traits of indigenous Algerian cattle "Brune de l'Atlas"
Authors: Gherissi Djalel Eddine , Lamraoui Ramzi , Chacha Faicel , Chergui Moussa , Titaouine Mohammed , Gaouar Semir Bechir Suheil 
Published: September 2023

Abstract
The present study consists of an assessment of the slaughter performance, body composition, and carcass traits of 51 native Algerian bulls 'Brune de l'Atlas' belonging to four ecotypes, aged 1 to 2 years, and fattened for a period of 4 to 6 months. Its main objective is to provide an estimate of the mean parameters related to meat production in terms of quantity and quality, including live weight and body composition, slaughter yield, conformation, fatness, and fineness of carcasses. The average live weight is 366.56±92.56 kg. The average true and commercial dressing percentages are 60.11±11.09% and 56.1±10.04%, respectively. The studied animals produce lean carcasses with a low proportion of body fat. The fattening index and the score of the fattening state are 5.9±3.86% and 14.81±7.67, respectively, and the score of the fattening state is 1.85±0.83. As for the carcass conformation, it is relatively insignificant. The thigh compactness index is 4.82±1.59, the carcass compactness index is 1.55±0.37, the buttock compactness index is 0.69±0.02, and the average EUROP carcass classification score is 1.86±1.04 (≈O class). Significant positive correlations were found between body live weight and carcass weight, 5th quarter and carcass conformation, and negative correlations with slaughter yield and body fineness. These results showed an interesting level of slaughter performance of the local Algerian cattle population. The latter could contribute to satisfying the growing demand for red meat and reducing the costs of red meats imports through the improved valuation of its butchering performance by implementing genetic, nutritional, and other management practices improvements.
Optimised Expression and Activity Assessment of Bacterial Staphylokinase in E. coli BL21(DE3)
Authors: Buniya Harith 
Published: September 2023

Abstract
The application of recombinant proteins is rare following the high production costs of expressing proteins with expensive inducers, such as isopropyl-β-D-1-thiogalactopyranoside (IPTG). Staphylokinase (SAK), a fibrinolytic enzyme, is a small bacterial thrombolytic agent that specifically clots and converts plasminogens to plasmins and lysis fibrin clots. The primary objective of the present investigation sought to increase the yield and lower the cost of staphylokinase production using Escherichia coli BL21 (DE3). Although the influence of the culture medium, culture density, and IPTG concentration on the production of SAK protein was explored. The results indicated that only culture density and concentration of IPTG were significant. This study achieved cost reduction by decreasing the IPTG inducer concentration (1.0 and 0.5 mM), which acted as the inducer. The production rate was also maintained or increased in low culture density. In conclusion, suitable production conditions, particularly diminished inducer concentration, effectively reduced upstream production costs and yielded high sak gene expression.
International Index of Erectile function (IIEF) among Filipino Men: A Reliability and Validity using Exploratory and Confirmatory Factor Analyses
Authors: De Guzman Sagie 
Published: September 2023

Abstract
The International Index of Erectile Function (IIEF) has emerged as a pivotal instrument for the evaluation of erectile dysfunction (ED) in both clinical and research settings. However, its psychometric properties have not been extensively examined among diverse populations. This study aimed to investigate the validity and reliability of the IIEF among a sample of Filipino men, given the distinct socio-cultural perspectives associated with sexuality and ED in this demographic. A total of N = 1,463 participants, aged 18 years and older, from various regions of the Philippines were enrolled.
Initial evaluations confirmed the internal consistency of the IIEF, with Cronbach's alpha values consistently ranging from .78 to .92 for each of the five domains. For construct validity, exploratory factor analysis (EFA) was first utilized, revealing three-factor structure (sexual intercourse, stimulation, and satisfaction [IIEF-SSS]). Cronbach’s alpha for each IIEF-SSS subscale ranges from .76 to .96. Subsequent confirmatory factor analysis (CFA) provided robust support for this structure, with fit indices suggesting a strong model fit (X2 = 252.95, df = 80, X2/ df ratio = 3.16, RMSEA = 0.059, NFI = .97, CFI = .98, IFI= .98, GFI = .95, AGFI = .92).
The results of this comprehensive analysis underscore the IIEF-SSS’ robustness as a psychometric tool, confirming its reliability and validity within a Filipino context. Healthcare providers and researchers in the Philippines can, therefore, employ the IIEF-SSS with confidence when assessing ED. Additionally, the findings illuminate the instrument's cross-cultural adaptability, offering a precedent for its potential application in other diverse settings. Future studies could further delve into the cultural nuances impacting ED and its perception among Filipino men.
Prevalence and correlates of sleep disturbance among adolescents in the eastern seaboard of China
Authors: Yang Haidong , Luan Lingshu , Xu Jiuli , Xu Xingran , Tang Xiaowei , Zhang Xiaobin 
Published: September 2023

Abstract
Background
Sleep disturbances are serious public health issues that warrant increased attention, especially in adolescents. The aim of this study was to investigate the prevalence and factors associated with sleep disorders among urban adolescents in China.
Methods
This study utilized an online survey to assess the demographic characteristics and mental health status of secondary school students in Lianyungang City. The Patient Health Questionnaire-9 (PHQ-9) was used to evaluate suicidal ideation and sleep disturbances in adolescents. The seven-item Generalized Anxiety Disorder (GAD-7) assessed anxiety symptoms, and the Perceived Social Support Scale (PSSS) was used to measure perceived social support.
Results
Among 3443 adolescents, the prevalence of sleep disorders were 10.8%, with significantly higher proportions of sleep disorders (13.7% VS 8.3%, χ2 = 26.559, P < 0.001) among female adolescents when compared to males. Binary regression analysis revealed that suicidal ideation (OR = 2.558, 95% CI: 1.897–3.450, P < 0.001) and anxiety symptoms (OR = 9.899, 95% CI: 7.317–13.393, P < 0.001) were risk factors for sleep disturbances, and significant other support (OR = 0.940, 95% CI: 0.894–0.989, P = 0.016) and good annual household income (OR = 0.661, 95% CI: 0.396–0.943, P = 0.026) were protective factors. Furthermore, multinomial logistic regression analysis showed that sex, suicidal ideation, anxiety symptoms, and parental relationship were associated with an elevated risk of experiencing more frequent sleep disturbances (all P < 0.05).
Conclusions
We have found that 10.8% of adolescents experience sleep disorders, and it is evident that various factors can influence healthy sleeping. These results underscore the significance of addressing these factors to enhance sleep health among this population.
A simulation model of selective laser melting (SLM) of glass silica monolayer
Authors: Zhang Wanrui 
Published: September 2023

Abstract
Although experimental studies have demonstrated the feasibility of processing glass materials via selective laser melting (SLM), further precise SLM manufacturing of fused silica remains a challenging but promising field. Consequently, a reliable simulation model was developed to predict the densification kinetics of glass powder monolayer under SLM, consequently providing a simulation tool for optimising processing parameters. To be particular, the relative neck diameter and density of the powder bed under SLM were estimated using a cluster model to predict the degree of consolidation, from which the thermal diffusivity of the powder bed can be determined and the corresponding result of heat transfer can be obtained. The experimental observation from other studies supported the numerical results. Therefore, the validated numerical simulation can assist researchers in discussing the effects of processing settings on silica glass under SLM. For instance, using powders with smaller particle sizes and a preheated working environment can improve the quality of the manufactured parts. Based on this model, a novel optimisation criterion can be used to optimise the parameters and fabricate transparent and high-purity glass parts via SLM.
Digital Twin-Driven Causal Diagnosis Mechanism for Life Health of High-Speed Spindle System
Authors: Feng Yuzhou , Kai-Guo Fan 
Published: September 2023

Abstract

In order to achieve the causal diagnosis of life health of high-speed spindle system, a digital twin system is designed and developed based on the combined programming of MATLAB, ANSYS, and LabVIEW. The domain and threshold models of heat generations of bearing and motor are established to diagnose the health status of the spindle system. The Long short-term memory recurrent neural network is used to predict the heat generations of the spindle system. A causal diagnosis model is proposed to judge the fault source according to the sudden change of thermal characteristics. The experimental results show that the digital twin accuracy of thermal characteristics reaches over 95%, and the proposed digital twin-driven causal diagnosis system for life health can successfully monitor the health status of the spindle system.
Multifunctional Mesoporous Hollow Silica Nanorod for Optical Imaging and Drug Delivery
Authors: wu yanli , guan xiaogao , Xu xianzhu , Yang ruchun , Kong Fangfang , Chen xi , Xiao Qiang 
Published: September 2023

Abstract
In this work, a multifunctional drug delivery system (DDS) composed of mesoporous hollow silica nanorod core and luminescent Gd2O3:Eu shell (MHSNR@Gd2O3:Eu) was fabricated and applied for optical imaging and drug carrying. The formation process, phase and morphology of the DDS were investigated. The results show that the multifunctional DDS possess uniform core-shell hollow structure, in which the core length of the hollow silica nanorods as approximately 400 nm and a width of approximately 150 nm and the Gd2O3:Eu shell was approximately 30 nm thick. Due to the doping of the Eu3+, the as prepared MHSNR@Gd2O3:Eu emitted bright red light. The in vitro assays with NCI-H460 lung cancer cells domenstrated that the as-obtained MHSNR@Gd2O3:Eu could rapidly and massively enter the cell. Using ibuprofen as a model drug, the release process of the synthesized MHSNR@Gd2O3:Eu was monitored in-vitro. In particular, as the amount of ibuprofen released increases, the photoluminescence intensity of DDS increases. Thus，it is possible to monitor and track the release process through changes in luminous intensity. In summary, it is expected that MHSNR@Gd2O3:Eu may be applied in drug carrying, luminescent tracking and monitoring, and optical imaging. Furthermore, this work provides a reliable approach for the design and preparation of silica/RE2O3 nanocomposite with mesoporous hollow rod-like structures.
The Role of Political Uncertainty in the Impact of Climate-Related Disasters on Financial Markets
Authors: Gregory Richard 
Published: September 2023

Abstract

This paper proposes a disaster DGSE model with political uncertainty to examine the future implications of climate disasters on financial markets. The model predicts that there are three additional risk factors due to this specification: climatic disaster risk, political uncertainty risk, and a combination of political uncertainty risk due to climatic disasters. The estimated risk premium of climatic disaster risk puts the economic decrease due to climatic disasters to be -6.30% of GDP, well in excess of predictions for the amount of temperature increase experienced thus far. It is found that the positive risk premium earned by climatic disaster risk is partially offset by the negative risk premium earned from the political uncertainty risk due to climatic disasters. In short, the government guarantee to offset climatic damage has shielded the economy from the effects of climatic disasters. Thus, to hedge future growing climatic disasters is to partially hedge future political uncertainty over the future value of the government's guarantee.
JEL Codes: G00, G12
Clinical and economic burden of Respiratory Syncytial Virus in children aged 0-5 years in Italy
Authors: Dovizio Melania , Veronesi Chiara , Bartolini Fausto , Cavaliere Arturo , Grego Stefano , Pagliaro Romina , Procacci Cataldo , Ubertazzo Loredana , Bertizzolo Lorenzo , Muzii Barbara , Parisi Salvatore , Perrone Valentina , Baraldi Eugenio , Bozzola Elena , Mosca Fabio , Esposti Luca Degli 
Published: September 2023

Abstract
Background: Respiratory syncytial virus (RSV) is among the leading causes of hospitalization due to lower respiratory tract infections (LRTIs) in children younger than 5 years worldwide and the second cause of infant death after malaria. RSV infection occurs in almost all the infants before the second year of life with variable clinical severity, often requiring medical assistance. This analysis investigated patients aged 0-5 years with RSV infection focusing on epidemiology, clinical features, and economic burden of RSV-associated hospitalizations in a setting of Italian real clinical practice.
Methods: An observational retrospective analysis was conducted on administrative databases of healthcare entities covering around 2.6 million residents of whom 120,000 health-assisted infants aged <5 years. From 2010 to 2018, pediatric patients were included in the presence of hospitalization discharge diagnosis for RSV infections, and RSV-related acute bronchiolitis or pneumonia. Epidemiology, demographics, clinical picture and costs were evaluated in RSV-infected patients, overall and stratified by age ranges (0-1, 1-2, 2-5 years) and compared with an age-matched general population.
Results: Overall 1378 RSV-infected children aged 0-5 years were included. Among them, the annual incidence rate of RSV-related hospitalizations was 175-195/100,000 people, with a peak in neonates aged <1 year (689-806/100,000). While nearly 85% of infected infants were healthy, the remaining 15% presented previous hospitalization for known RSV risk factors, like preterm birth, or congenital heart, lung, and immune diseases. The economic analysis revealed that direct healthcare costs per patient/year were markedly higher in RSV patients than in the general population (3605€ vs 344€).
Conclusions: These findings derived from the real clinical practice in Italy confirmed that RSV has an important epidemiological, clinical, and economic burden among children aged 0-5 years. While the complex management of at-risk infants was confirmed, our data also highlighted the significant impact of RSV infection in infants born at term or otherwise healthy, demonstrating that all infants need protection against RSV disease, reducing then the risk of medium and long-term complications, such as wheezing and asthma.
MixOmics Integration of Biological Datasets Identifies Highly Correlated Key Variables of COVID-19 severity.
Authors: Harriott Noa C , Chimenti Michael S , Ryan Amy L 
Published: September 2023

Abstract
Background: Despite several years since the COVID-19 pandemic was declared, challenges remain in understanding the factors that can predict the severity of COVID-19 disease and complications of SARS-CoV-2 infection. While many large-scale Multiomic datasets have been published, integration of these datasets has the potential to substantially increase the biological insight gained allowing a more complex comprehension of the disease pathogenesis. Such insight may improve our ability to predict disease progression, detect severe cases more rapidly and develop effective therapeutics.
Methods: In this study we have applied an innovative machine learning algorithm to delineate COVID-severity based on integration of paired samples of proteomic and transcriptomic data from a small cohort of patients testing positive for SARS-CoV-2 infection with differential disease severity. Targeted plasma proteomics and an onco-immune targeted transcriptomic panel was performed on sequential samples from a cohort of 23 severe, 21 moderate and 10 mild COVID-19 patients. We applied DIABLO, a new integrative method, to identify multi-omics biomarker panels that can discriminate between multiple phenotypic groups, such as the varied severity of disease in COVID-19 patients.
Results: As COVID-19 severity is known among our sample group, we can train models using this as the outcome variable and calculate features that are important predictors of severe disease. In this study, we detect highly correlated key variables of severe COVID-19 using transcriptomic discriminant analysis and multi-omics integration methods.
Conclusions: This approach highlights the power of data integration from a small cohort of patients offering a better biological understanding of the molecular mechanisms driving COVID-19 severity and an opportunity to improve prediction of disease trajectories and targeted therapeutics.