bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conditional Knockout Of Cdc20 Attenuates Osteogenesis In Craniofacial Bones
Authors: Cheng Yawen , Du Yangge , Zhang Xiao , Zhang Ping , Liu Yunsong 
Published: February 2022

Abstract
Background: Craniofacial bone defects cause significant problems to patients with harmful consequences. Mesenchymal stem cells (MSCs) can self-renew and exhibit multilineage differentiation, which could be applied to bone regeneration. However, craniofacial bone tissue MSCs have unique properties, differing in their characteristics to MSCs derived from long bones. Cell division cycle protein 20 (CDC20) promotes osteogenic differentiation in long bones; however, its role in craniofacial bone tissues remains unknown. Results: We successfully constructed Cdc20 conditional knockout mice and confirmed its knockout efficiency in cranial and mandibular bones. In this study, we found that Cdc20 conditional knockout in mice triggered distinctive cranial and mandibular bone loss. Moreover, the osteogenic differentiation potential of cranial suture-derived MSCs and mandibular bone marrow-derived MSCs was impaired in Cdc20 conditional knockout mice. Conclusions: In general, the conditional knockout of Cdc20 impaired osteogenesis in craniofacial bones. Our findings provide new insights into craniofacial bone regeneration and the treatments of craniofacial bone-related diseases.
Heterogeneous Selective Ensemble Learning Model for Mill Load Parameters Forecasting by Using Multi-Scale Mechanical Frequency Spectrum
Authors: liu zhuo , Chai Tianyou , Tang Jian , Yu Wen 
Published: February 2022

Abstract
A ball mill is a heavy mechanical device and its safe operation affects the entire grinding process. Mill load is a key index in the optimum operation of the grinding process, but it cannot be measured directly. In industrial practice, operational experts normally estimate its value based on their experiences and the mechanical signals produced by the ball mill. In this paper, we proposed a heterogeneous selective ensemble method by using a multi-scale mechanical frequency spectrum. The multicomponent adaptive decomposition algorithm is first used to decompose the original shell vibration and acoustic signals into sub-signals with different time scales. Then, selective ensemble (SEN) kernel projection to latent structure algorithm is used to model the spectral data of these sub-signals. Furthermore, the latent features of multi-scale spectra are extracted to construct SEN models based on fuzzy inference. Finally, the two types of heterogeneous SEN models are fused by using information entropy. The main contribution of this study is that the proposed soft-sensing model has a dual-layer ensemble structure that can fuse multisource information in different mechanical sub-signals with physical meaning. Moreover, the proposed model can simulate the fuzzy cognitive behavior of domain experts in the mineral grinding process. The effectiveness of the method is verified by the shell vibration and acoustical data of a laboratory-scale ball mill.
Predicting the probability of avian reproductive success and its components at a nesting site
Authors: Ghosh Sinchan , Banerjee Arnab , Mukhopadhyay Soumalya , Ray Santanu , Bhattacharya Sabyasachi 
Published: February 2022

Abstract

Avian reproduction has three chronological components: nesting, mating, hatching, and fledging. Predicting the probability of individual components helps to identify the period of reproduction that needs the most aid, increasing the conservation efficiency. This prediction requires identification of biotic, abiotic, and sociological variables of a bird’s environment responsible for these componentwise success probabilities. There is also no standard methodology to estimate these probability values separately. This study estimates the absolute success probability of each component, identifies correlated environmental predictors and gives a modeling framework to accurately predict the success probabilities using Merops Philippines as a test bed. The result using surveyed data and proposed methodology indicates the corridor between nesting and mating is most vulnerable to the environment. Social structure is the key to all reproductive components but nesting. Both biotic and abiotic factors are crucial determinants of nesting success. Mating, hatching, and fledging success depend more on biotic factors than abiotic ones. Linear modeling frameworks are helpful to explore which types of environment are a better determinant of the success of a reproductive component. Artificial neural networking is more useful to predict the successes of a new site. Although developed using Merops philippinus data, the proposed methodology and modeling framework are also applicable for other birds.
Nurses’ informatics competency assessment of health information system usage: a cross-sectional survey
Authors: Kinnunen Ulla-Mari , Kuusisto Anne , Ahonen Outi , Koponen Samuli , Kaihlanen Anu , Hassinen Tiina , Vehko Tuulikki 
Published: February 2022

Abstract
Background: Nurses’ informatics competencies affect their use of health information systems (HIS). Informatics competencies are professional requirements for registered nurses to guarantee the quality of patient care. In earlier studies, these competencies have been defined rather intensively, although few studies exist relating to the evaluation of nurses’ practical informatics skills and competencies. The purpose of this study was to describe nurses’ perceptions of their informatics competencies regarding HIS usage in daily patient care.Methods: A web-based questionnaire of this national cross-sectional survey was sent to all nurse members including registered nurses, midwives and public health nurses of the Finnish Nursing Association (FNA), the National Association of Health and Welfare Professionals (TEHY), and the National Professional Association for the interests of experts and managers in health care (TAJA) (N= 58 276). Results: 3610 nurses responded to the questionnaire. The items (n = 16) relating to informatics competencies were grouped into three separate dependent variables: ‘Nursing documentation’, ‘Digital environment’ and ‘Ethics and data protection’. Nurses evaluated their overall informatics competencies as good. The ‘Ethics and data protection’ competency score was higher than the scores of ‘Nursing documentation’ or ‘Digital environment’. The competency ‘Digital environment’ was better for recently graduated nurses and for nurses working in outpatient care and virtual hospital, examination, operation, and labour, and in emergency rooms and emergency care. Experience with using a particular HIS at work was associated with the competency ‘Nursing documentation’. The general HIS experience was associated with all competencies. Conclusions: Nurses are highly qualified HIS users. However, the competency requirements generated by rapidly expanding digitalization have challenged nurses. Thus, it is of high importance to increase different educational programs for nurses using digital tools and software programs. Nurses are knowledge workers 24/7. Unified, standardized, terminology-based nursing documentation has been shown to produce high-quality patient data which also affects patient safety. Therefore, nursing directors should be encouraged to implement nursing terminology in those health care organizations which have not yet done so.
Insufficient health care access in American minorities with or at high risk for knee osteoarthritis: Data from the Osteoarthritis Initiative
Authors: Vennu Vishal , Abdulrahman Tariq A. , Alenazi Aqeel M. , Bindawas Saad M. 
Published: February 2022

Abstract
Background: Access to health care (HC) in American minorities with or at high risk for knee osteoarthritis (OA) is indistinct. The current study aims to address this gap. Methods: Data of Americans (n =4,674) aged 45–79 years with or at elevated risk for knee OA were fetched from the Osteoarthritis Initiative. Participants were categorized into Caucasians and American minorities based on their racial and ethnic background. Results: American minorities had insufficient access to HC than did Caucasians (9% vs. 2% were uninsured with no health care coverage (HCC), p <.0001, while 6% vs. 9% had only HCC, p <.0001). A multinomial regression analysis shows that less than <50,000 American dollar annual income was more likely associated with insufficient access to HC (odds ratio [OR] = 3.82, 95% confidence interval [CI] = 2.25—6.51) in American minorities than Caucasians (OR = 1.93, 95% CI = 1.50—2.48). Conclusion: American minorities had insufficient access to HC than did Caucasians. The less annual income was highly influenced by insufficient access to HC in this population.
Quality of Life and Patient Satisfaction After Breast Cancer Surgery: BREAST-Q analysis
Authors: MIRANDA ISABELA , Lichtenfels Martina , Vollbrecht Betina , Barbosa Fernanda , Falcone Ana Beatriz , Malhone Carolina , Costa Bartira E. Pinheiro da , Frasson Antônio Luiz 
Published: February 2022

Abstract
Purpose Conceptions of quality of life (QoL) and patient satisfaction are important to improve quality of care in breast cancer patients. The purpose of this study was to compare QoL and patient satisfaction using the BREAST-Q among patients who underwent breast-conserving surgery (BCS) or nipple-sparing mastectomy (NSM) for breast cancer treatment.Methods We performed a cross-sectional study using a database of patients who underwent BCS (n=75) or NSM (n=70), operated by the same surgeon, between January 2017 and December 2017. Clinical-pathological data were assessed from the medical record. All patients filled out the BREAST-Q questionary. A difference of 0.5 standard deviation between groups was considered clinically relevant. Effect size was estimated for each domain of BREAST-Q in both groups.Results Patients in the NSM group were younger at the time of surgery than those in the BCS group, 45.4 vs. 55.7 years, respectively (p<0,05). There was no global difference in QoL and Patient Satisfaction among the groups. Patients in BCS group presented significantly higher scores related to ‘physical well-being’ compared to the NSM group, 83.2 vs. 70.5 (p<0.05), as well as the ‘satisfaction with their breasts’, scoring 81.2 vs. 73.1 (p<0.05). Satisfaction with care was high and not statistically different between groups.Conclusion Our study shows no difference in global QoL and patients’ satisfaction among women who underwent BCS and NSM for breast cancer treatment. Satisfaction with care was extremely high, reassuring the importance of the support offered by the team, and patient's involvement in decision-making process.
Skin Cancer Diagnosis Using CNN Features with Genetic Algorithm and Particle Swarm Optimization Methods
Authors: BAŞARAN Erdal , ÇELİK Yüksel 
Published: February 2022

Abstract
If skin cancer is not treated early, it also affects the diseased area under the skin and this threatens the treatment of the disease. In recent years many diseases have been rapidly detected with high accuracy with artificial intelligence methods and the treatment process has accelerated. Convolutional neural networks one of the artificial intelligence methods provide very detailed information about images and extremely successful results are obtained in classifying images. In this study firstly the data set was trained with the EfficientNetB0 model which is one of the convolutional neural networks models. Then, with the fully connected layer of this model, deep features of the images were obtained. These deep features were obtained by selecting with PSO and GA optimization algorithms, and different feature combinations were created. Each of these selected feature sets were classified by the SVM method and the best performance results were tried to be obtained. As a result, the success of the proposed model has been proven by obtaining an accuracy rate of 89,17%.
Over-Expression of TTC21A Correlates Poor Prognosis of Liver Cancer
Authors: Li Mingyi , Yan Wen 
Published: February 2022

Abstract
Background: Liver hepatocellular carcinoma (LIHC) is one of the most severe malignant tumors worldwide. Method: RNA sequencing data is obtained from TCGA database to analyze the expression of TTC21A and differentially expressed genes (DEG). Protein-protein interaction (PPI) network is used to screen out the related genes of TTC21A. A single-sample GSEA is used to analyze the relationship between TTC21A and immune cell infiltration. Receiver operating characteristic (ROC) curve and area under the curve (AUC) values are applied to evaluate the value of TTC21A as a binary classifier. Finally, Cox regression, Kaplan-Meier analysis, and nomogram plot are used to determine the prognosis value of TTC21A for LIHC. Results:Compared to normal tissues, the expression of TTC21A in liver cell carcinoma is significantly higher (P<0.05). The expression of TTC21AmRNA is different from T, M clinical stage, pathological grade, and histological grade (P<0.001). High expression of TTC21A in liver cancer is correlated to T staging. PPI detected its potential co-expressed gene network. IHC staining suggested that TTC21A is expressed higher in tumor tissues than in normal tissues, significantly correlating with the immune cell infiltration, including macrophages and T cells. ROC curve displayed that TTC21A has a robust diagnostic ability for hepatocellular carcinoma (AUC=0.778). Kaplan-Meier analysis displayed that the prognosis of patients with high TTC21A expression is poor (HR=1.81, P=0.001).Conclusion: Our results suggest that over-expression of TTC21A is closely related to the poor prognosis of patients with liver cancer, indicating that TTA21A could possess an excellent diagnostic value in patients with LIHC.
The Natural Growth Rate of Growing Malignant Pulmonary Nodules with Ground-Glass Opacity and Association of Clinic Features With It
Authors: Xue Wenfei , Duan Guochen , Zhang Xiaopeng , Xin Zhifei , Liu Shicheng , He Jie , Zhang Hua 
Published: February 2022

Abstract
Objective
The objective of the study was to investigate the volume (VDT) and mass doubling time (MDT) of growing malignant ground-glass opacity(GGO) and explore the relationships between doubling times and clinical-pathological features.
Methods
We collected 37 GGO cases (18 male & 19 female with age between 43- and 82-year-old) between 2016 and 2020 and all of these cases were along with growing malignant pulmonary nodules. The duration of follow-up and the variation in GGOs volume and mass were recorded. The morphologic changes and three-dimensional segmentation of GGO nodules were used to calculate the VDT and MDT based on a modified Schwartz model. The independent sample t-test was used to investigate the relationship between doubling times and their features. Logistic regression was used to evaluate the risk factors of growing malignant GGOs.
Results
The median follow-up time was 725 days (31-1507 days). The averaged VDT and MDT of the GGOs were 973 days and 671 days, respectively. Both VDT and MDT were significantly different among the three different groups of solid components of GGO(p<0.05). The vacuole sign and lepidic-predominant lung adenocarcinoma (LPA) also made an important role in changing the VDTs and MDTs (p<0.05). In addition, the growth of malignant pulmonary nodules was significantly associated with air bronchus sign (OR 6.667; 95% CI of 1.126-39.470; p=0.037). Multivariate analysis showed that LPA declined the GGOs growth (odds ratio 0.093, 95% CI of 0.011-0.765, p = 0.027).
Conclusions
The solid component of GGOs and vacuole sign were closely associated with the growth rate of GGOs. The GGOs with air bronchus sign was more dangerous in terms of growth rate than other GGO cases. However, the appearance of LPA could inhibit GGO growth. Further studies are still required to verify the obtained results.
Characterization and Wear Behaviours of Aluminium Alloy/ Reinfored With Agricultural Wastes Particulates at Different Loads
Authors: Mohammed Abdullahi Tanko , Ogheneme Ogheneblorhie Clifford , Lasisi Shaibu , Aliyu Isah , Guruza Abdullahi , Olagunju Suraj Jare , Sani Habeeb Muhammed , Suleiman Idawu Yakubu 
Published: February 2022

Abstract
The research investigates the morphology and wear behaviours of Al-Mg-Si alloy reinforced with palm kernel shell powder (PKSP) for developing composites. PKSP of particle size of 100 μm was prepared for the studies at different weight percentages of 3, 6, 9, 12, and 15 PKSP to developed composites for the investigations. The PKSP was characterized by X-ray fluorescent (XRF). The morphology of the alloy and composites were characterized by scanning electron microscope (SEM) attached with energy dispersive spectroscopy (EDS). The XRF revealed elements such as carbon (C), oxygen (O2) with other elements as traces. The PKSP as reinforcer had improved the morphology and wear rate behaviours positively. Morphologies revealed that the composites produced showed no voids and discontinuities of PKSP particulates in the composites. The wear resistance of the matrix and composites increase with increase in load and decrease with increase in the weight percentage of PKSP. The minimum wear rate was obtained at the load of 10N while highest at applied load of 30N. The wear rate of the alloy lost under load of 10N was 1.31 times greater than that of alloy reinforced with 15 wt. % PKSP with minimum wear rate. The composites could be used as brake rotors, pistons and connecting rods in the automobile industries.
A Multivariable Mendelian Randomization Analysis Disentangling The Causal Relations Between Abdominal Obesity, Non-Alcoholic Fatty Liver Disease and Cardiometabolic Diseases
Authors: Gagnon Eloi , Pelletier William , Gobeil Émilie , Bourgault Jérôme , Manikpurage Hasanga , Maltais-Payette Ina , Abner Erik , Taba Nele , Esko Tonu , Mitchell Patricia , Ghodsian Nooshin , Després Jean-Pierre , Vohl Marie-Claude , Tchernof André , Thériault Sébastien , Arsenault Benoit 
Published: February 2022

Abstract
Background: Observational studies have linked obesity and especially abdominal obesity to non-alcoholic fatty liver disease (NAFLD). These traits are also associated with type 2 diabetes (T2D) and coronary artery disease (CAD) but the causal factor(s) underlying these associations remain unexplored. Multivariable Mendelian randomization (MVMR) is a method that uses multiple genetic variants associated with traits of interest to simultaneously estimate the causal effect of each of these traits on outcomes of interest. Methods: We used a MVMR study design to determine whether obesity (defined using body mass index [BMI]) and abdominal obesity (defined using waist circumference) were causally associated with NAFLD using publicly available genome-wide association study (GWAS) summary statistics of the UK Biobank (n>450,000) and a GWAS meta-analysis of NAFLD (8434 cases and 770,180 control). A MVMR study design was also used to determine the respective causal contributions of waist circumference and NAFLD to T2D and CAD using GWAS summary statistics of the DIAGRAM (74,124 cases and 824,006 controls) and CARDIoGRAMplusC4D (122,733 cases and 424,528 controls) consortia.Results: In univariable Mendelian randomization analyses, both BMI and waist circumference were associated with NAFLD. NAFLD was not associated with obesity or abdominal obesity. In MVMR analyses, waist circumference was associated with NAFLD when accounting for BMI (OR per 1-standard deviation increase = 2.35 95% CI=1.31-4.22, p=4.1e-03) and BMI was not associated with NAFLD when accounting for waist circumference (0.87 95% CI=0.54-1.38, p=5.5e-01). In MVMR analyses accounting for NAFLD, waist circumference remained strongly associated with both T2D (2.65 95% CI=2.32-3.04, p=5.7e-45) and CAD (1.49 95% CI=1.37-1.62, p=8.3e-21).Conclusions: These results identified abdominal obesity as a strong, independent and causal contributor to NAFLD, T2D and CAD, thereby highlighting the importance of assessing body fat distribution for the prediction and prevention of cardiometabolic diseases.
Mitochondrial metabolism drives hypercholesterolemia-induced breast cancer cell migration
Authors: Nobrega-Pereira Sandrina , Serafim Teresa , Lopes Ana Patrícia , Santos Miguel , Carvalho Filipa , de Jesus Bruno Bernardes , Morais Vanessa , Dias Sérgio 
Published: February 2022

Abstract
Most cancer related deaths are due to metastases. Systemic factors, such as lipid-enriched environments (particularly LDL-cholesterol), favor breast cancer (including triple negative breast cancer, TNBC) metastasis formation. Mitochondria metabolism impacts TNBC invasive behavior but its involvement in a lipid-enriched setting is undisclosed. Here we show that LDL-cholesterol induces CD36, increases lipid droplets and augments TNBC cells migration and invasion in vivo and in vitro. LDL increases mitochondrial mass and mitochondria spread in migrating cells, and energetic analyses revealed that LDL renders TNBC dependent on fatty acids for mitochondrial respiration. Indeed, engagement of fatty acid oxidation, but not glycolysis, is required for LDL-induced migration and mitochondrial remodeling. Moreover, LDL induced reactive oxygen species (ROS) production by TNBC cells. Importantly, CD36 or ROS blockade abolished LDL-induced cell migration and mitochondria metabolic adaptations. Our data suggest that LDL induces TNBC cells migration by reprogramming mitochondrial metabolism, revealing a new vulnerability in metastatic breast cancer.
Paraoxonase 1 Activity Could Be A Potential Biomarker For Liver Damage
Authors: Araoud Manel , Mhenni Hamida , Neffati Fadoua , Hellara Olfa , Douki Wahiba , Saffar Hammouda , Najjar Mohamed Fadhel 
Published: February 2022

Abstract
Variations of PON1 activity (PON1) were studied according to the type of liver injury, to assess the interest of this parameter in the diagnosis of liver diseases. The study was performed in population of patients with different liver damages. The liver diseases adopted during our investigation were grouped into different syndromes and pathologies. The classification by pathology, according to the clinical, biological and radiological context, made it possible to distinguish five types of hepatic impairment. The determination of the activity of PON1 was carried out on Konélab, and the assay the other enzymes as well as of the biochemical parameters were carried out on the Cobas 6000 system.The PON1 activity was lower in patients compared to control group (p<0.007). The risk to have PON1 activity decreased was doubled in patients suffering from liver diseases (OR=2.201; IC à 95%:1.074-4.512; p=0.030). This risk was more important in cirrhotic patients (OR=4.44, 95% CI:1.78 to 11.05, p=0.001). A positive correlation between PON1 and albumin (r=0.349, p<0.001), or HDL-c (r=0.370, p<0.001) was found in total population of patients. However, PON1 was inversely correlated with AST (r=- 0.338, p<0.001), PAL (r =-0.205, p=0.038) and total bilirubin (r=-0.293, p=0.003). PON1 was significantly lower in patient groups that have three perturbed lipid parameters (p=0.034). The PON1 activity could be a reliable biomarker of the degree of liver injury and could be integrated into the hepatic exploration tests, to better highlight the suffering liver and contribute to the diagnosis of liver damage.