bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oral health and self-rated health in community-dwelling older adults in Colombia
Authors: Venegas-Sanabria Luis Carlos , Moreno-Echeverry María Manuela , Borda Miguel German , Chavarro-Carvajal Diego Andrés , Cano-Gutierrez Carlos Alberto 
Published: April 2023

Abstract
Background The relationship between oral health and specific health conditions has been studied. However, data about the relationship with self-rated health is not clear. The aim of this study is to determine the association between different parameters of oral health and the self-rated health status (SRHS) in Colombian community-dwelling older adults.Methods This is a secondary analysis of the SABE-Colombia study performed in 2015. The dependent variable was defined as the SRHS status assessed by the question "Compared with other people your age: Do you consider your health status to be: better, equal, or worse?” The oral health parameters were total edentulism, the GOHAI score, and the use of fixed and removable dental prosthesis. An adjusted ordinal logistic regression was performed by any independent variable.Results After the exclusion of missing data, 17945 persons were included in the final analysis. 10.6% reported worse, 37.6% reported equal, and 51.6% as better SRHS respectively. The worse SRHS group are older and had a higher proportion of dependence, cognitive impairment, and depressive symptoms. The frequency of total edentulism and the lower mean score of GOHAI were significant in the worse SHRS group. After the multivariable logistic regression, all parameters of oral health status were associated with a worse SRHS.Conclusion In our study, the oral health parameters were associated with self-rated health status. This result supports the inclusion of oral health in comprehensive geriatric assessment.
Robust Inference for Zero-Inflated Models with Outliers Applied to the Number of Involved Lymph Nodes in Patients with Breast Cancer
Authors: Shahsavari Saeed , Yaseri Mehdi , Hosseini Mostafa , Moghimbeigi Abbas 
Published: April 2023

Abstract

Objective: The aim of this study is to investigate the factors that influencing the number of axillary lymph nodes in women diagnosed with early breast cancer by choosing a strong model to evaluate the excess of zeros and outliers usually present in these data.
Methods: The study based on a retrospective analysis of hospital records of 669 breast cancer patients in Iran. Zero-inflated, robust zero-inflated and Bayesian modelling techniques were used to assess the association between factors studied and the number of involved lymph nodes in breast cancer patients. Count data models, including zero-inflated models (zero-inflated Poisson and zero-inflated negative binomial), robust zero-inflated models (robust zero-inflated Poisson and robust zero-inflated negative binomial) and Bayesian models (Bayesian zero-inflated Poisson and Bayesian zero-inflated negative binomial) were applied. Performance evaluation of models was compared using AIC and BIC.
Results: According to the AIC and BIC, the robust zero-inflated negative binomial model is the best model. Findings indicate that women who had a larger tumor had a greater number of axillary lymph nodes, hormone receptor status was associated with the number of lymph nodes, tumor grades II and III also contributed to a higher number of lymph nodes. Women who were older had a higher risk of having lymph nodes.
Conclusions: Our analysis showed that the robust zero-inflated negative binomial is the best model for predicting and describing the number of nodes involved in primary breast cancer when overdispersion and outliers occurs.
The deleted in oral cancer (DOC1 aka CDK2AP1) tumor suppressor gene is downregulated in oral squamous cell carcinoma by multiple micro-RNAs
Authors: Stabile Roberto , Cabezas Mario Román , Verhagen Mathijs , Tucci Francesco , Bosch Thierry van den , de Herdt Maria , Steen Berdine van der , Nigg Alex , Chen Meng , Ivan Cristina , Shimizu Masayoshi , Koljenovic Senada , Hardillo Jose , de Jong Robert Baatenburg , Verrijzer C. , Calin George , Fodde Riccardo 
Published: April 2023

Abstract
Cyclin-Dependent Kinase 2 Associated Protein 1 (CDK2AP1; also known as deleted in oral cancer or DOC1) is a tumor suppressor gene known to play functional roles in both cell cycle regulation and in the epigenetic control of embryonic stem cell differentiation, the latter as a core subunit of the nucleosome remodeling and histone deacetylation (NuRD) complex. In the vast majority of oral squamous cell carcinomas (OSCC), expression of the CDK2AP1 protein is reduced or lost. Notwithstanding the latter (and the DOC1 acronym), mutations or deletions in its coding sequence are extremely rare. Accordingly, CDK2AP1 protein-deficient oral cancer cell lines express as much CDK2AP1 mRNA as proficient cell lines. Here, by combining in silico and in vitro approaches, and by taking advantage of patient-derived data and tumor material in the analysis of loss of CDK2AP1 expression, we identified a set of microRNAs, namely miR-21-5p, miR-23b-3p, miR-26b-5p, miR-93-5p, and miR155-5p, which inhibit its translation in both cell lines and patient-derived OSCCs. Of note, no synergistic effects were observed of the different miRs on the CDK2AP1 3-UTR common target. We also developed a novel approach to the combined ISH/IF tissue microarray analysis to study the expression patterns of miRs and their target genes in the context of tumor architecture. Last, we show that CDK2AP1 loss, as the result of miRNA expression, correlates with overall survival thus highlighting the clinical relevance of these processes for carcinomas of the oral cavity.
Uterocervical Angle Versus Cervical Length in the Prediction of Spontaneous Preterm Birth in Women with History of Spontaneous Preterm Birth. A Prospective Observational Study
Authors: Elmaraghy Ahmed Mohammed , Shaaban Salma Mohamed Ahmed , Elsokkary Mohammed Salah , Elshazly Ibrahim shazly Mohamed Amen 
Published: April 2023

Abstract
Background Preterm delivery is a leading cause of neonatal mortality and morbidity. History of spontaneous preterm birth is the greatest risk factor for another preterm delivery. So, every effort should be made to prevent the recurrence of preterm delivery in this vulnerable group. This study aimed to evaluate the predictive ability of the anterior uterocervical angle and cervical length in preterm birth. Patients andMethods This was a prospective cohort study that included 70 patients with a history of spontaneous preterm birth. Ultrasound measurements of cervical length and anterior uterocervical angle were set to be measured for each patient at three visits; first between 16 0/7 and 24 0/7 weeks, second between 24 1/7 and 32 0/7 weeks, and the third was between 32 1/7 and 36 6/7 weeks. The correlation between both measures and the prediction of preterm birth among study participants was the primary outcome of the study. Neonatal outcome among the study patients was a secondary measure of outcomeResults The incidence of preterm birth among study participants was 31.41%. Cervical length and uterocervical angle showed progressive decrease and increase respectively throughout pregnancy. At the 2nd visit, the two measures were significantly different between those who delivered at term and those with preterm delivery with the cervical length being significantly shorter in the preterm arm (3.0 ± 0.49 versus 3.38 ± 0.36, p < 0.001) and uterocervical angle being significantly bigger among the same arm (110.1 ± 18.48 versus 84.42 ± 12.24, p < 0.001). A uterocervical angle > 89.8° at the second visit predicted preterm birth with 81.8% sensitivity and 70.8% specificity while cervical length ≤ 3.22 cm at the second visit predicted preterm birth with 68.1% sensitivity and 62.5% specificity. Multivariant logistic regression analysis showed that uterocervical angle > 89.8° at the second visit increased the odds ratio for preterm birth by 9.Conclusion Uterocervical angle can be a useful ultrasound marker for the prediction of preterm birth among high risk patients. A cutoff value of 89.8° can be used as a threshold above which prophylactic measures such as cervical cerclage or progesterone therapy can be provided. Keywords: Preterm birth, anterior uterocervical angle, cervical lengthClinicalTrials.gov ID: NCT05632003 (First posted date: 30/11/2022)
Mode-I Interlaminar Fracture Modeling of DCB Composite Laminate using Finite Element Techniques
Authors: Sharma Pawan , Mali Harlal Singh , Dixit Anurag 
Published: April 2023

Abstract
The interlaminar fracture is the most common type of failure in polymeric textile composites because these composites are prone to delaminate under the influence of external loading. Depending on the type of deformation, the interlayer fracture can be Mode-I, Mode-II, Mode-III, and Mixed Mode-I/II type. In this research work, Mode-I interlaminar fracture modeling of carbon fiber reinforced polymer (CFRP) composite laminate is performed using a double cantilever beam (DCB) test specimen on ABAQUS software as a cost-effective numerical simulation approach. The finite element based fracture modeling techniques, virtual crack closure technique (VCCT), cohesive zone modeling (CZM), and extended finite element method (XFEM) were employed under the two-dimensional and three-dimensional interlayer crack propagation to evaluate the load-displacement responses. The interaction properties were applied between the top and bottom part of DCB specimen and the adhesive layer was modeled using the CZM approach. The numerically simulated responses were compared with the published experimental load-displacement responses and found to be in good agreement. All the fracture modeling approaches validate the experimental trend, however the three-dimensional XFEM technique was found to be the most suitable modeling approach for crack growth in adhesively bonded parts. The stress based criteria was used for crack initiation, whereas the energy based approach used for crack propagation in DCB laminate. The parametric study of various fracture parameters (cohesive strength, fracture energy, interfacial stiffness, laminate thickness, and pre-crack length) were also conducted to understand their effects on load-displacement responses of the Mode-I interlaminar fracture. The fracture modeling approaches were compared by considering the element type, shape, total elements, accuracy, run-time, increments, and convergence speed.
Response to Faricimab for Anti-Vascular Endothelial Growth Factor Resistant Eyes with Neovascular Age-related Macular Degeneration
Authors: Fujimoto Satoko , Kokame Gregg T 
Published: April 2023

Abstract
We evaluated the response to faricimab in a retrospective series of neovascular age-related macular degeneration (nAMD) eyes with persistent edema or subretinal fluid on other existing anti-VEGF drugs. Inclusion criteria were at least 3 faricimab injections with 6 months follow-up. We also determined the subtypes of nAMD such as polypoidal choroidal vasculopathy (PCV) or non-PCV. Intervals between injections were extended as long as the macula remained dry. Thirteen eyes of thirteen patients were included. Mean age was 77.1 ± 9.3 years. Six were males and seven were females. All eyes had type 1 choroidal neovascularization (CNV) (CNV below the retinal pigment epithelium (RPE), and ten had PCV and three had occult CNV (non-PCV). Faricimab resolved the macula edema in 69.2% of anti-VEGF resistant eyes after three injections. Neither central retinal thickness nor visual acuity significantly changed 6 months after faricimab injections were started. The mean interval of injections before and after faricimab therapy did not change and was 5.3 ± 1.5 and 5.4 ± 0.8 weeks. Central retinal thickness, visual acuity, and the interval of injections were not significantly different between PCV and non-PCV subtypes of exudative AMD.
Spaceborne InSAR for Monitoring and Health Assessment of Historical Architectures: The Tianjin Case Study
Authors: Kui Yang , Xu Bo , Qiu Yahui , Sun Peizhou , Liang Jun , Zhang Xiao , Wang Xiaoye 
Published: April 2023

Abstract
Recently, interferometry synthetic aperture radar (InSAR) technology has shown its capabilities to monitor the displacement of natural processes with millimeter accuracy. Nevertheless, there is limited InSAR research on the health assessment of historical architectures. In this paper, we firstly proposed a possible methodology aiming at health assessment of historical architectures using space-borne SAR data. The proposed strategy consists of extracting building deformation from Persistent Scatterer Interferometry (PSI)results with spatial analysis between a geographical database and geocoded Persistent Scatterer (PS) and Inverse Distance Weighted (IDW) interpolation, deriving assessment parameters of both angular angle () and unequal subsidence velocity (), finally comparing them with alarm value for health assessment. This method has been applied to the Heping District of Tianjin (China), which contains many historical architectures, and two important examples (the Bohai Building and the China Theater) in the region were selected for detailed analysis, through the use of a high-resolution satellite dataset. For these two buildings, after extracting and analyzing deformation, both of the assessment parameters (and ) were acquired, and the good health conclusions were acquired in the case of values smaller than the alarm thresholds, which were validated by the similar conclusion from in situ leveling records. Finally, both the deformation mechanism of two architectures and health assessment ability with InSAR were analyzed in detail for further application.
Physicochemical Analysis of Sewage Water Collected from Jeddah Province Coast
Authors: Sayegh Fotoon Abdullah 
Published: April 2023

Abstract
When sewage is improperly released into running streams, its physical and chemical components deteriorate, eventually destroying marine life viability. The current study sought to evaluate the efficacy of wastewater treatment by elucidating the physical and chemical parameters of water samples collected from the Jeddah coastline. During the summer of 2014, samples were collected from one uncontaminated zone and two contaminated areas (sewage-groundwater and sewage-port) along the Saudi Red Sea. The level of nutrients significantly differs between uncontaminated and contaminated water samples. In contrast, pH, temperature, and salinity remain consistent in all three tested samples. The findings revealed that sewage discharge significantly influences the chemical and physical properties of the Saudi Red Sea seawater. Therefore, it is recommended that local and government officials promote awareness and support proper wastewater treatment by enhancing the abilities of available wastewater plants.
Role of stromal PD-L1 expression in colorectal liver metastasis
Authors: Takasu Chie , Morine Yuji , Yoshikawa Kozo , Nakao Toshihiro , Tokunaga Takuya , Nishi Masaaki , Kashihara Hideya , Wada Yuma , Yoshimoto Toshiaki , Shimada Mitsuo 
Published: April 2023

Abstract
Background and Aim
The outcomes of immune checkpoint blockade for colorectal cancer (CRC) treatment are unsatisfactory. Furthermore, the efficacy of immune checkpoint blockade for liver metastasis of various cancer is poor. Here, we investigated the relationship between stromal programmed death-ligand 1 (PD-L1) expression and the prognosis of patients with colorectal cancer liver metastasis (CRLM).
Methods
The present study enrolled 84 CRLM patients who underwent surgery (R0) for CRC. Immunohistochemistry was performed to analyze stromal PD-L1 expression in CRLM.
Results
Stromal PD-L1 was expressed in 52.3% of CRLM samples, which was associated with a lower tumor grade (p=0.04) and fewer not optimally resectable metastases (p=0.04). Stromal PD-L1-positive patients had longer overall survival (p=0.003). Multivariate analysis identified stromal PD-L1 expression (p=0.008) and poorer differentiation (p<0.001) as independent prognostic indicators. Furthermore, stromal PD-L1 expression was correlated to a high number of tumor-infiltrating lymphocytes (TILs). Stromal PD-L1– and low TIL groups had shorter OS than stromal PD-L1+ and high TIL groups (46.6% vs. 81.8%, p=0.05) Stromal PD-L1-positive patients had longer disease-free survival (DFS) (p=0.03) and time to surgical failure (p=0.001). Interestingly, stromal PD-L1 expression was positively related to the desmoplastic subtype (p=0.0002) and inversely related to the replacement subtype of the histological growth pattern (p=0.008).
Conclusions
Stromal PD-L1 expression may be a significant prognostic marker for CRLM.
Double shrinking (DOSH), a regression-based algorithm for gene regulatory network inference from co-expression data
Authors: Vladimirovich Bannikov Artyom 
Published: April 2023

Abstract
Next generation sequencing allows obtaining large amounts of gene expression data. Inferring regulatory relations between genes from such data has been a long standing challenge. Current algorithms are based on linear regression or a distance measures, like partial correlation or mutual information. The majority of algorithms are of very broad nature. Their aim is to infer a random normal network without using any additional assumptions. Regularized regression algorithms are an exception, since they assume sparsity. Additional truthful assumptions make inferences easier and more accurate. The proposed algorithm, Double Shrinking (DOSH), is based on regularized regression with assumptions about gene expression data and network structure. Reliability of gene expression values is assumed to depend upon their magnitude; larger values are more reliable. Each gene is assumed to be completely predictable from other genes. The effectiveness of the algorithm is demonstrated by identifying genetic markers of survival in lymphoid leukemia.
Examining the Shortcomings of Public Health Knowledge and Skills among Chinese Clinicians: A Deep Interview and Focus Group Study
Authors: FAN Jiang-bo , WANG Xi , DU Hai-ping , MAO A-yan , YAN Xiao-ling , QIU Wu-qi 
Published: April 2023

Abstract
Background The importance of public health knowledge and skills among clinicians is increasingly recognized, as it enables them to identify, prevent, and control infectious diseases, chronic illnesses, and health disparities in their communities. However, the degree of public health training and experience of Chinese clinicians has been a subject of debate, with some studies indicating that their knowledge and skills are insufficient. This study aims to explore the shortcomings of public health knowledge and skills of Chinese clinicians and provide insights to improve their training and practice. This study provides insights into the shortcomings of public health knowledge and skills of Chinese clinicians and their perspectives on training and continuing education needs.Methods This study employs a qualitative research design, using deep interview and focus group methods. A purposive sample of 28 clinicians from different healthcare settings (e.g., hospitals, community health centers, CDC) in Beijing, Shanghai, and other regions were recruited.Results The findings reveal that there are significant gaps in public health knowledge and skills among Chinese clinicians, which are affecting the delivery of quality healthcare services to the public. The study highlights the need for policymakers and healthcare institutions in China to take proactive measures to improve the public health education and training of clinicians. In addition, the study underscores the importance of collaboration and knowledge sharing among healthcare professionals in China to address the challenges and gaps in public health knowledge and skills.Conclusions The data is collected through deep interviews and focus group
Investigation on the Death View of Medical Students and Its Influencing Factors in China
Authors: Yan Minghai , Tuerxun Gulidanna , DAI JIANGHONG 
Published: April 2023

Abstract
Background.
Attitudes towards death are related to different social, cultural and religious backgrounds, including fear of death, anxiety and so on. Doctors are the people most likely to be exposed to death in their professional setting, and negative attitudes to death affect their level of care for dying patients. The COVID-19 pandemic is giving medical students a chance to think about death. The students of medical school are confronting death for the first time, but we know little about their attitudes toward death.
Objective.
To investigate the death view of medical students and its influencing factors and provide references for death education.
Methods.
An cross-sectional survey was conducted through a self-designed death attitude questionnaire among 1470 medical students in a medical university in Xinjiang, China. Pearson correlation and constituent ratio were used for statistical analysis.
Results.
78.1% of medical students are full of fear of death; 77.0% of medical students could not talk about death openly and naturally in daily life. There were significant differences in the view of death among medical students of different gender (P = 0.002), nationality (P = 0.004), grade (P＜0.001) and family environment (P = 0.007). About death education, 82.6% of medical students are willing to accept it, and the most accepted way of death education is the elective course of death education in schools (76.0%).
Conclusion.
The majority of medical students’ view of death still needs to be improved in China. In the post-epidemic era, it may be the best way to help medical students to establish a positive view of death by carrying out elective courses of death education.