bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microbiota present in combined endodontic-periodontal diseases and its risks for endocarditis
Authors: Gomes Brenda P. F. A. , Berber Vanessa B. , Passini Maicon R. Z. , Chapola Rafaela C. , Lopes Erica M. , Chen Tsute , Paster Bruce J 
Published: August 2022

Abstract
Introduction:
Infective endocarditis (IE) is an inflammatory disease usually caused by bacteria that enter the bloodstream and settle in the inner linings or valves of the heart, as well as in blood vessels. Despite modern antimicrobial and surgical treatments, IE continues to cause substantial morbidity and mortality. The oral microbiota has been considered one of the most significant risk factors for IE. The objective of this study was to analyze the microbiota present in clinical samples of root canals (RCs) and periodontal pockets (PPs), in cases with combined endo-periodontal lesions (EPL) in order to detect the species related to IE using the NGS sequencing technique.
Methods
Microbial samples were collected from the 15 RCs and their associated PPs. Genomic studies associated with bioinformatics combined with the structuring of a database (genetic sequences of bacteria reported for infective endocarditis) allowed to assess the microbial community of both sites.
Results
The main genera detected in the RC and PPs were Parvimonas, Streptococcus and Enterococcus, both directly linked with IE. A total of 98 species in the RCs and 133 in PPs were identified. Among them 28 species from the RCs and 45 from the PPs were related to IE. Functional inference showed that the microbiological profile of RCs and PPs may not be the only risk factors for IE, but also for other diseases considered systemic such as: Myocarditis, Human Cytomegalovirus infection, Bacterial invasion of epithelial cells, Huntington's disease, Amyotrophic lateral sclerosis and Hypertrophic cardiomyopathy. In addition, it was possible to predict antimicrobial resistance variants for broad-spectrum drugs such as ampicillin, tetracycline, macrolide, among others.
Conclusion
Microorganisms present in the combined EPL can be a risk factor not only for IE, but also for diseases that are considered systemic. Antimicrobial resistance variants for broad-spectrum drugs were also inferred based on picrust. State-of-the-art sequencing combined with bioinformatics proved to be a powerful tool for conducting studies of microbial communities, which could considerably assist in the diagnosis of serious infections.
Clinical Relevance:
Few studies have investigated the microbiota in teeth compromised by combined endo-periodontal lesions (EPL) but did not correlate the microbiological findings to any systemic condition, particularly with Infective Endocarditis, using the Next Generation Sequencing technique. In these cases, the presence of apical periodontitis and periodontal diseases could increase the risk for the development of IE, in susceptible patients.
The optional depth of screw for the treatment of tibial plateau defect in total knee arthroplasty: A finite element analysis
Authors: Zhao Guanghui , Yao Shuxin , Ma Jianbing , Wang Jianpeng 
Published: August 2022

Abstract
Background: The cement-screw technique is an effective method for repairing tibial plateau defects in total knee arthroplasty (TKA). However, it is unknown which depth for the screw is better. This study aimed to perform a finite element analysis (FEA) to determine the advantage of a cement-screw technique and confirm the optimal screw depth.Results: Four FEA models were set to represent the cement-screw or cement-only techniques. In the cement-screw technique, screws were inserted into the defect area obliquely with an angle of 45 degrees from the mechanical axis with 3 different depths. The FEA models showed that cement-only technique had more stress-shielding areas in the tibial plateau and medullary cervicitis, while higher stress areas were in the defect and medullary cervicitis. For the cement-screw technique, stresses were lower on the surface of cancellous bone around screw when it was inserted below the upper surface of tibia.Conclusion: From the FEA data, we found that cement-screw technique is superior to cement-only technique for repairing a tibial plateau defect in TKA; for the former, it may be more beneficial to insert the screw below the upper surface of tibia plateau.
Parasitic loads in the genetically improved (F7) Nile tilapia Oreochromis niloticus (L.) cultured in fish farms in Busia and Siaya Counties, Kenya: indicators of increased resistance and efficiencies of synergistic technologies adoptions
Authors: Otachi Elick O. , Kyule Domitila , Abwao Jacob , Iteba Jacob , Mziri Venny , Outa Nicholas , Ogello Erick , Obiero Kevin , Munguti Jonathan 
Published: August 2022

Abstract
In Kenya, breeding programmes whose source of genetic material is local water bodies are at inception with the National Aquaculture Research Center, Sagana being the Nile tilapia and African catfish breeding nucleus. Fish are susceptible to a variety of infections and diseases. These microorganisms are often present on the external surfaces and visceral organs of the fish. In order to minimize fish disease burdens a number of fish health management practices and biosecurity measures have been recommended. In this study, a combination of new genetically improved fish strains, liming, netting and biofloc technologies were used in selected fish farms in Busia and Siaya Counties for validation. A total of 113 Nile tilapia were collected (93 from Bukani Aquaparks and 20 from WOODM fish farm) using a seine net. The fish were killed by cervical dislocation. This was followed with measurements of the total lengths and weights. Standard examination procedures were used. A total of 6 different taxa of parasitic species were recovered during the study. These included: Protozoans such as Trichodina sp; Myxozoans such as Myxobolus sp.; Flatworms such as the monogenean Cichlidogyrus sp.; the Trematodes such as the digeneans Tylodelphys sp. and Euclinostomum sp. and the Acanthocephalans such as Acanthogyrus (Acanthosentis) tilapiae. Overall, the findings of this study showed that there were very few parasites infesting fish with also very low infection rates. This study concluded that with the improved fish strain, employment of adequate biosecurity measures, parasitic infestation levels can be significantly lowered to levels of little concern.
Breastfeeding and Female Labor Force Participation; The Probability of Survival of Children Under- 3 years in Nepal
Authors: Timilsina Kailash , Sawangdee Yothin , Bhandari Ravi , Tiwari Sirjana , Adhikari Ashmita 
Published: August 2022

Abstract
Introduction: The number of breastfeeding mothers participating as a labor force to generate income has been increasing in Nepal. In this regards study aims to assess the survival of Under 3 children in Nepal from the mother based on their labor force participation and breastfeeding status. Methods: Data for the study were obtained from the Nepal Demographic Health survey 2016-2017. The sample size of the study was 2,994 live birth children born in the last three years from the day of interview. The robust hazard ratio and cox proportional hazard regression were conducted between dependent and independent variables to come to the conclusion.Results: Among 2994 live birth, 85 children died before reaching 36 months of their life. Among them more than 80 % of the non-working mothers were breastfeeding their children. The analysis revealed that the survival of the children under-3 is positively associated with the interaction with mother work and breastfeeding status, family structure, relationship with household head, wealth quintiles, caste and religion of mother. Conclusion: The highest rate of child survival was from the working mothers as well as continuing breastfeeding to their child followed by mothers breastfeeding the child but not working, mother working but not breastfeeding the child and mothers those were neither working nor breastfeeding their child respectively. Employers should be encouraged to have a breastfeeding policy in work place through establishment of breastfeeding facility, paid maternity leave and flexible work schedule.
Mathematical modeling and projection of vitamin D levels before and during COVID-19: a cross-sectional study including 86.772 samples
Authors: Arayici Mehmet Emin , Korkut-Uysal Sila Ovgu , Leblebici Asim , Akcali Zeynep , Edizer Deniz Tuna , Kabul Seher , Cimrin Dilek , Ellidokuz Ender Berat 
Published: August 2022

Abstract
Purpose
Vitamin D (Vit-D) is defined as a steroid hormone produced in the body by exposure of the human skin to UV (ultraviolet) B rays and has an important role in calcium and phosphorus metabolism as well as bone mineralization. In this study, it was aimed to examine Vit-D deficiency not only biologically but also mathematically and produce a mathematical model to determine the level of Vit-D if the COVID-19 measures continue.
Methods
This study included 86.772 patient samples. Vit-D levels have a wave-curved form. Mathematical modeling has been done for such a curve, and this model has been defined. For describing the model, the MATLAB Curve Fitting Toolbox has been used. SSE has been optimized by the Trust-Region algorithm where all the other parameters are selected as default.
Results
There was no significant difference between the sexes according to Vit-D levels (p > .05). It was determined that Vit-D levels were significantly higher in the summer months and lower in the winter months (p < .001). When comparing the spring months, Vit-D levels in 2020 were found to be significantly lower than in 2019 (p < .001); on the contrary, when examined based on the summer, autumn, and winter months, it was determined that Vit-D levels increased in 2020 compared to 2019 (p < .001). A mathematical model was produced using Vit-D data and a future prediction was made.
Conclusion
Restrictions, partial or complete closures, and curfews can significantly affect individuals' Vit-D levels during the COVID-19 outbreak. There is a need for multicenter studies with larger populations covering different regions to strengthen and support our results.
Risk Factors and Geographic Disparities in Premature Cardiovascular Mortality in US Counties: A Machine Learning Approach
Authors: Dong Weichuan , Motairek Issam , Nasir Khurram , Chen Zhuo , Kim Uriel , Khalifa Yassin , Freedman Darcy , Griggs Stephanie , Rajagopalan Sanjay , Al-Kindi Sadeer G 
Published: August 2022

Abstract
Disparities in premature cardiovascular mortality (PCVM) have been associated with socioeconomic, behavioral, and environmental risk factors. Understanding the “phenotypes”, or combinations of characteristics associated with the highest risk of PCVM, and the geographic distributions of these phenotypes, is critical to targeting PCVM interventions. This study applied classification and regression tree (CART) to identify county phenotypes of PCVM and geographic information systems to examine the distributions of identified phenotypes. Random forest analysis was applied to evaluate relative importance of risk factors associated with PCVM. The CART analysis identified seven county phenotypes of PCVM, where high-risk phenotypes were characterized as having greater percentages of people with lower income, higher physical inactivity, and higher food insecurity. These high-risk phenotypes were mostly concentrated in the Black Belt of the American South and the Appalachian region. The random forest analysis identified additional risk factors associated with PCVM, including broadband access, smoking, receipt of Supplemental Nutrition Assistance Program benefits, excessive drinking, and educational attainment. Overall, county-level risk factors explained 52% of the inter-county variation in PCVM. Our study demonstrates the use of machine learning approaches in characterizing area-level phenotypes of PCVM. Interventions to reduce PCVM should be tailored according to these phenotypes in corresponding geographic areas.
Existence of triple solutions for elliptic equations driven by p-Laplacian-like operators with Hardy potential under Dirichlet-Neumann boundary conditions
Authors: Liu Jian , Zhao Zengqin 
Published: August 2022

Abstract
In this article, we focus on triple weak solutions for some p-Laplacian type elliptic equations with Hardy potential, two parameters and mixed boundary conditions. We show the existence of at least three distinct weak solutions by using variational methods, the Hardy inequality and the Bonanno-Marano type three critical points theorem under suitable assumptions, and the existence of solutions to some particular cases of this type of elliptic equations are also obtained.MSC: 35J15; 35J20; 35J25
Seismic Risk Assessment for the Infrastructure in the Regions Adjacent to the Russian Federation Baikal–amur Mainline Based on the Unified Scaling Law for Earthquakes
Authors: Nekrasova Anastasia , Kossobokov Vladimir 
Published: August 2022

Abstract
The objective of the analysis is to evaluate, for a period of 50 years, the 10%, 5% and 1% probability of exceedance of seismic events in terms of loss in performance of infrastructure in the regions adjacent to the Russian Federation Baikal–Amur Mainline and Trans–Siberian Railway. In particular, we use earthquake data compiled at the Baikal Division of the Russian Geophysical Survey, which provides sufficiently complete earthquake determinations of M = 2.5 or larger for the period 1994–2019 for mapping the USLE coefficients at the seismically active cells of a regular grid. Based on these estimates, we present maps of the maximum expected magnitude in about 500, 1000 and 5000 years. Having described an anisotropic seismic effect model of seismic sites in the region, we conclude by characterizing the seismic hazard in traditional macroseismic intensity terms and estimating the associated seismic risk to infrastructures.
A Deep Learning Model with Attention-BiLSTM Networks Combining XGBoost Residual Correction for Short-Term Water Demand Forecast
Authors: Shan Shihao , Ni Hongzhen , Wang Dangxian , Chen Genfa , Sang Xuefeng 
Published: August 2022

Abstract
As a key component of water distribution management, reliable short-term water demand forecasting plays a fundamental role in the optimal control for water supply. Most reported approaches based on deep learning omit the two-way information flow existed in historical water demand data and the model inputs cannot automatically highlight the significance of crucial features to current water demands, which could have impact on the prediction accuracy. Owing to the high nonlinear changes and fluctuations in water demand series, making accurate forecast a challenging task. To address the problem in this study, maximal information coefficient (MIC) is presented for feature extraction analysis, deep learning with Attention-BiLSTM networks is developed, to reinforce the performance, that combining the XGBoost algorithm as a residual correction module to forecast short-term water demand. Hyper-parameter configurations are conducted with the models. Finally, the superiority of proposed method is illustrated by comparing to other benchmark models. The results show that the proposed method outperforms other predictive models, in which both on the accuracy and stability.
Demographic and clinical characteristics determining patient-centeredness in endometriosis care
Authors: Grundström Hanna , Kilander Helena , Wikman Per , Olovsson Matts 
Published: August 2022

Abstract
Purpose: The primary aim of this study was to assess patient-centeredness of endometriosis care in a national sample of Swedish women with endometriosis. The secondary aims were to assess the importance of different dimensions of endometriosis care, and to analyze demographic and clinical determinants associated with the experience of patient-centeredness.Methods: This cross-sectional study including 476 women with confirmed endometriosis. An invitation to participate was sent to 1000 randomly selected women aged ≥18 years having any endometriosis diagnosis and who had visited a gynecological clinic due to endometriosis problems any time during the past five years. Participants were recruited from 10 different-sized gynecology clinics in different parts of Sweden. The invitation letter had a link to the digital survey, which consisted of demographic and clinical questions, and the ENDOCARE questionnaire (ECQ). ECQ measures experiences, importance and patient-centeredness of 10 dimensions of endometriosis care. Univariate and multiple regression analysis were used to analyze which patient-specific demographic and clinical determinants were associated with the experience of patient-centeredness.Results: The response rate was 48%. The results indicate that Swedish women with endometriosis experience low patient-centeredness, and rate relational aspects with healthcare professionals as the most important aspects of care. Having a gynecologist with patient responsibility was an independent predictor for high patient-centeredness.Conclusion: Women with endometriosis in Sweden experience low patient-centeredness, reflecting the urgent need for improvement. More effort should be given to develop the relational aspects of care. Women with endometrios should have a responsible gynecologist to care for treatment and follow-up.
Color image restoration with impulse noise based on fractional-order total variation and framelet transform
Authors: Parvaz Reza 
Published: August 2022

Abstract
Restoring images corruptedby noise and blur is a burgeoning subject in image processing and, despite the large numberof proposed restoration algorithms, the effort to bring about some improvement is always ofgreat interest.The definition of fractional derivatives in recentyears has created a powerful tool for this purpose.In the present paper, using fractional-order totalvariation and framelet transform,the nonconvex model forimage restoration with impulse noise problem is improved.Then by alternating direction method of multipliers (ADMM) andprimal-dual problem, the proposed model is solved. The convergence of the proposedalgorithm is studiedand the proposed algorithm is evaluated using different types of tests.The output results show the effectiveness of the proposed method.
Dislocations behavior due to surface hardening in grinded C45 steel
Authors: Szkodo Marek , Stanisławska Alicja , Cavaliere Pasquale , Bień Anna 
Published: August 2022

Abstract
Grinding is often used for machining because it allows for high dimensional and shapes accuracy as well as low surface roughness. Modern technologies of grinding steel with ferritic-pearlitic structure combine the cutting process with simultaneous surface hardening. However, such treatment generates unfavorable tensile stresses in the surface layer. Therefore, in this paper, an attempt was made to strengthen the grinded surface layer without a phase transformation, using only strain hardening. This way of grinding reduces energy and time consumption, thus reducing the negative impact on the natural environment. For this purpose, the grinding of C45 steel was performed at small grinding depths, ranging from 2 µm to 20 µm, and at low rotational speed and tool feed. Using the nanoindentation test, XRD diffractometry, Energy-dispersive X-ray spectroscopy and a scanning microscope, the microstructure, dislocation structure, and mobility of dislocations generated in the surface layer of grinded steel were determined. The analysis of the obtained results shows that grinding to a depth of 2 µm results in the greatest increase in dislocation density and also reduces their mobility the most, which results in the greatest strain hardening of the ground surface layer. Such grinding also increases the favorable compressive stresses in the grinded surface layer.
Current trends in diagnostic and therapeutic management of the axilla in breast cancer patients receiving neoadjuvant therapy: results of the German-wide NOGGO MONITOR 24 Survey
Authors: Banys-Paluchowski Maggie , Michael Untch , Natalia Krawczyk , Maria Thurmann , Thorsten Kühn , Jalid Sehouli , Luisa Gasparri Maria , Jana Boniface , Davide Gentilini Oreste , Elmar Stickeler , Nina Ditsch , Rody Achim , Paluchowski Peter , Jens-Uwe Blohmer 
Published: August 2022

Abstract
PurposeIn the last two decades, the optimal management of the axilla in breast cancer patients receiving neoadjuvant chemotherapy (NACT) has been one of the most frequently discussed topics. Little is known about the attitudes of surgeons/radiologists towards new developments such as targeted axillary dissection. Therefore, the NOGGO conducted a survey to evaluate the current approach to axillary management. MethodsA standardized digital questionnaire was sent out to >200 departments in Germany between 7/2021-5/2022. The survey was supported by EUBREAST.ResultsIn total, 116 physicians completed the survey. In cN0 patients scheduled to receive NACT, 89% of respondents recommended sentinel lymph node biopsy (SLNB) after NACT. In case of ypN1mi(sn), 44% advised no further therapy, while 31% proposed ALND and 25% axillary irradiation. 64% of respondents recommended a minimally invasive biopsy to cN+ patients. TAD was used at the departments of 82% of respondents and was offered to all cN+ patients converting to ycN0 by 57% and only to selected patients, usually based on the number of suspicious nodes at time of presentation, by 43%. The most common marking technique was a clip/coil. 67% estimated that the detection rate of their marker was very good or good.ConclusionThis survey shows a heterogenous approach towards axillary management in the neoadjuvant setting in Germany. Most respondents follow current guidelines. Since only two-thirds of respondents experienced the detection rate of the marker used at their department as (very) good, future studies should focus on the comparative evaluation of different marking techniques.
Infectious Complications Following Car-T Cell Therapy for B Cell Non-Hodgkin Lymphoma: A Single-Center Experience and Review of the Literature
Authors: Mercadal Santiago , Gomez Carlos , Lee Catherine , Couriel Daniel R 
Published: August 2022

Abstract
Chimeric antigen receptor T-cell (CAR-T) therapy has significantly improved outcomes as treatment of refractory/relapsed (R/R) B-cell non-Hodgkin lymphoma (NHL). Several risk factors including CAR-T-related toxicities and their treatments often lead to infectious complications (IC). The pattern and timeline for IC is not well established. We evaluated IC in 48 patients with R/R B-cell NHL following CAR-T. Overall, 15 patients (31%) experienced 22 infection events. Eight infections (4 bacterial, 3 viral and 1 fungal) and 14 infections (7 bacterial, 6 viral, 1 fungal) occurred early (< 30 days) and later (31–180 days) following CAR-T infusion, respectively. Most infections were mild to moderate (87%) and respiratory infections (n = 15, 68%) were the most common IC. Two patients (4.2%) developed invasive fungal infections. Patients with > 4 prior antitumor regimens and elderly age (≥ 65 years) had a higher infection rate. Humoral response to two-doses of SARS CoV-2 mRNA vaccines was evaluated in 10 patients and anti-Spike IgG was detectable in 40%. Infections in patients receiving CAR-T cell therapy are common despite the use of infection prophylaxis. In our series, age ≥ 65 years and > 4 prior antitumor treatments were identified as risk factors. Forty per cent of patients developed SARS CoV-2 antibody response.