bluuebunny/crossref_metadata_2025_split huggingface dataset:
Amelioration of nonylphenol-induced anxiety/depression-like behaviors in male rats using green tea and Zn-Se tea interventions
Authors: Zhang Yujie , Xu Jie , Zhu Lin , Li Shengnan , Li Mizhuan , Tong Dayan , Yu Jie 
Published: September 2022

Abstract
We investigated the effects of nonylphenol (NP) on anxiety/depression-like behaviors and alleviation via green tea and zinc selenium (Zn-Se) tea interventions in rats. Forty male specific-pathogen free (SPF) Sprague-Dawley (SD) male rats were randomly divided into four groups (n = 10 per group): control group (C); NP group (40 mg/kg NP); green tea group (40 mg/kg NP + 0.2 g/mL GT group) and Zn-Se tea group (40 mg/kg NP + 0.2 g/mL ZST group). Following tea intervention, compared with the NP group, the residence time in the light-dark box test decreased, and the number of entries into the closed arm in the elevated plus maze test in the tea-treated group was significantly reduced. The sucrose preference index in the sucrose preference test increased, and the immobility time in the forced swimming test decreased. The effect of Zn-Se tea was better than that of green tea. The damage to the hippocampal tissues in the group treated with tea was less than in the NP group. The cellular arrangement was tighter with degeneration, deep staining, and pyknotic nerve cells were visible. The nuclei of the NP group were atrophied, and the cells were sparsely arranged. Compared with the NP group, corticosterone levels were decreased in the NP + Zn-Se tea group. Chronic NP exposure induced anxiety/depression-like behaviors in rats. Green tea effectively reduced the damage to the hippocampal and prefrontal cortex induced by NP. The effects of Zn-Se tea were slightly more optimal than those of conventional green tea.
Drospirenone 4 mg in a 24+4 regimen in women with contraindications to oestrogen use for contraception: bleeding patterns according to previous menstrual characteristics
Authors: Grandi Giovanni , Savio Maria Chiara Del , Melotti Chiara , Facchinetti Fabio 
Published: September 2022

Abstract
Purpose
A new POP consisting of 4 mg drospirenone (DRSP) for 24 days with a 4-day hormone-free interval was developed to improve bleeding predictability during POP use. The aim of this study was to evaluate the effect on bleeding patterns during use of this oral contraceptive (OC) in comparison with previous menstrual cycles before the start of OC use.
Methods
This is a pilot, prospective trial. A diary was used to collect information about daily bleeding and pelvic pain before and during treatment. During OC use, women were categorized as having 1) unscheduled bleeding or spotting days (UB), 2) scheduled bleeding or spotting days (SB) and 3) absence of bleeding/spotting (AB). SF-36 and FSFI questionnaires were used to quantify health-related quality of life and the quality of sexual life in sexually active participants.
Results
Eighteen out of 25 (72%) women completed the entire follow-up. Women with UB (44.4%) were older at inclusion (p < 0.001) and had higher BMIs (p = 0.02) than those with AB (22.2%) or SB (33.4%). Women recorded a significant reduction of menstrual flow intensity during OC use (p < 0.0001). Those with UB also experienced a significant reduction of menstrual pain intensity (p = 0.006). Women with SB during OC use had a longer baseline cycle than those who reported UB during OC use (p = 0.008). Satisfaction with this OC was very high (8.4 ± 2.2 points) with no modification in SF-36 and FSFI values.
Conclusion
A DRSP-only pill is a good OC option for women with contraindications to oestrogen use. Features of the menstrual cycle before the start of OC use may be used to predict associated changes in bleeding patterns.
Distinct immune profiles in children of high versus low socioeconomic status in Makassar, Indonesia
Authors: Dorst Marloes van , Stam Koen , Amaruddin Aldian Irma , König Marion , Hamid Firdaus , Sartono Erliyani , Wahyuni Sitti , Jochems Simon P. , Yazdanbakhsh Maria 
Published: September 2022

Abstract
BACKGROUND

Vaccinations against infectious diseases save millions of lives, however reduced vaccine responses have been observed in low-income settings. Therefore, understanding differences in immune profiles of populations with high or low socioeconomic status (SES) is of importance for optimizing vaccine efficacy.

AIM

Examining the immune profile of children of high versus low SES in the city of Makassar, Indonesia.

METHODS

Using mass cytometry, we profiled immune cells in finger-prick blood samples of children attending high and low SES schools in Makassar, Indonesia.

RESULTS

Distinct immune profiles were found in children from low versus high SES. While increased frequencies of B cells, CD161+ T helper 2 cells and CTLA-4+ Tregs and HLA-DRdimCD163+ monocytes were seen in low SES children, elevated TCRgd T cells and a trend towards expansion of T helper 1 cells were observed in the high SES group.

CONCLUSION

Socioeconomic status appears to have a significant impact on the immune system of children living in the same city. Such differences might contribute to poor vaccine responsiveness that has been reported in low income settings.
Genetic polymorphisms of FcGR2B and adalimumab effectiveness in Colombian patients with rheumatoid arthritis. Cases-controls study
Authors: Osorio Yolima Puentes , Muñoz Pedro Amariles , Aristizabal Beatriz , Peñaranda Luis Fernando Pinto , Rodriguez Carlos Andres , Colorado Juan Camilo Díaz 
Published: September 2022

Abstract
Background

Adalimumab is one of the main drugs used in the treatment of rheumatoid arthritis (RA); however, the effectiveness of the drug may be affected by the genetic variability of each patient. This study aims to investigate the therapeutic failure of adalimumab associated to genetic polymorphisms of FcGR2B.

Methods

A case-control study in Colombian patients diagnosed with RA was carried out. The data was collected based on clinical information reported by the patients and by genotyping and sequencing information through “Targeted Sequencing” and “Exomic Sequencing”. The cases in the study were patients in treatment with adalimumab, with therapeutic failure, on anti-TNF-α treatment for at least three months, and with exome sequencing data. The controls were patients with past treatment with adalimumab, with therapeutic effectiveness, on anti-TNF-α treatment for at least three months, and with exome sequencing data. The collected data was summarized by interquartile range and compared by chi-square test.

Results

222 patients were selected, 21 of whom met the inclusion criteria and matched for sex and age. The gene that contained the highest number of SNPs was HLA-DRB1 and the one with the second highest number of SNPs was HLA-DQA2. The other genes with great relevance were FCGR3B and FCGR2B. The risk of ineffectiveness was higher in patients with the presence of Genetic polymorphisms of FcGR2B rs6666965 (OR = 23.3; P = 0.0121). While this risk was associated with other SNPs such as rs78763831 (OR = 17. 8; P = 0.0.065), rs4778636 (OR = 15.9; P = 0.0778) and rs3933769 (OR = 7.5; P = 0.0.0974) it was not statistically significant, despite the strong association.

Conclusion

Patients diagnosed with RA with genetic polymorphisms of FcGR2B, mainly by the presence of the SNP rs6666965 have a positive association with therapeutic failure of adalimumab. The identification of these genetic variables can contribute to the availability of pharmacogenetics tests for adalimumab and the generation of a pharmacogenomics basis for patients with RA.
Trial registration NCT03352622
Hantzsch Reaction using Copper Nitrate Hydroxide- Containing Mesoporous Silica Nanoparticle with C 3 N 4 Framework as A Novel Powerful and Reusable Catalyst
Authors: Rahmati Ensiyeh , Rafiee Zahra 
Published: September 2022

Abstract
Copper nitrate hydroxide (CNH)-containing mesoporous silica nanoparticle (MSN) with g-C3N4 framework (MSN/C3N4/CNH) was fabricated via a four-step hydrothermal synthesis method. Functionalized MSN-based C3N4 was prepared, decorated with CNH, and identified by different physicochemical techniques such as FT-IR, XRD, SEM, EDX, and STA analyses. Then, MSN/C3N4/CNH composite was utilized as a robust catalyst for the fast fabrication of biologically active polyhydroquinoline derivatives with high yields between 88 and 97% via Hantzsch reaction under mild reaction conditions and short reaction time (within 15 min) owing to synergistic influence of Lewis acid and base sites. Moreover, MSN/C3N4/CNH can be straightforwardly recovered and used up to six reaction cycles without a conspicuous decrease in efficiency.
YOLO-CSF: an improved deep convolutional neural network for flame detection.
Authors: Yan Chunman , Wang Qingpeng , Zhao Yufan , Zhang Xing 
Published: September 2022

Abstract
The occurrence of fire threatens people's lives and property damage. An effective way to reduce flame damage is to detect flames in video images and take appropriate measures to contain fires at an early stage of occurrence. To solve the problem of low detection precision of current image-based flame detection methods, we propose a high precision flame detector based on yolov5 improvement. Coordinate Attention Blocks are introduced in the backbone network to obtain both channel relationships and long-range dependencies with precise positional information and increase the feature expression of the backbone network. Swin Transformer Blocks are introduced in the neck to expand the receptive field of the network and improve the flame feature extraction; the Adaptive Spatial Feature Fusion module is introduced in the head network to enhance the multi-scale feature fusion of flame features and reduce false alarms. Compared with the yolov5l, the precision of the model is improved by 4.1%. Compared with other existing detectors, it achieves the best average precision of 66.8%
Hydrodynamic spin-orbit coupling in asynchronous optically driven micro-rotors
Authors: Zion Matan Yah Ben , Modin Alvin , Chaikin Paul 
Published: September 2022

Abstract
Vortical flows of rotating particles describe interactions ranging from molecular machines to atmospheric dynamics. Yet to date, direct observation of the hydrodynamic coupling between artificial micro-rotors has been restricted by the details of the chosen drive, either through synchronization (using external magnetic fields) or confinement (using optical tweezers). Here we present a new active system that illuminates the interplay of rotation and translation in free rotors. We developed a non-tweezing circularly polarized beam that can rotate hundreds of silica-coated birefringent colloids simultaneously. The particles rotate asynchronously in the optical torque field while freely diffusing in the plane. We observe that neighboring particles orbit each other with an angular velocity that depends on their spins. We derive an analytical model in the Stokes limit for pairs of spheres that quantitatively explains the observed dynamics. We then find that the geometrical nature of the low Reynolds fluid results in a universal hydrodynamic spin-orbit coupling. Our findings are of significance for the understanding and development of far-from-equilibrium materials.
Evaluation of a machine learning algorithm for predicting the dental age of adolescent based on different preprocessing methods
Authors: Shen Shihui , Yuan Xiaoyan , Wang Jian , Fan Linfeng , Zhao Junjun , Tao Jiang 
Published: September 2022

AbstractBackground Machine learning (ML) algorithms play a key role in estimating dental age. In this study, three ML models were used for dental age estimation, based on different preprocessing methods. Aim The 7 mandibular teeth on the digital panorama were measured and evaluated according to the Cameriere and the Demirjian method, respectively. Correlation data were used for decision tree (DT), Bayesian ridge regression (BRR), k-nearest neighbors (KNN) models for dental age estimation. An accuracy comparison was made among different methods. Subjects & Methods We analyzed 748 orthopantomographs (392 males and 356 females) from eastern China between the age of 5 and 13 years in this retrospective study. Three models, DT, BRR, and KNN, were used to estimate the dental age. The data in ML is obtained according to the Cameriere method and the Demirjian method. Coefficient of determination (R2), mean error (ME), root mean square error (RMSE), mean square error (MSE) and mean absolute error (MAE), the above five metrics were used to evaluate the accuracy of age estimation. Results Our experimental results showed that the prediction accuracy of dental age was affected by ML algorithms. MD, MAD, MSE, RMSE of the dental age predicted by ML were significantly decreased. Among all the methods, the KNN model based on the Cameriere method had the highest accuracy (ME = 0.015, MAE = 0.473, MSE = 0.340, RMSE = 0.583, R2 = 0.94). Conclusions The results show that the prediction accuracy of dental age is influenced by ML algorithms and preprocessing method. The KNN model based on the Cameriere method was able to infer dental age more accurately in a clinical setting.
The predictive value of weight evolution in screening for (risk of) malnutrition in community-dwelling elderly (70+): a follow up study
Authors: Offenwert Evelien Van , Schoenmakers Birgitte 
Published: September 2022

Abstract
Background
Malnutrition is a heavily underestimated but frequently occurring pathology. Due to aging of the population and the increasing survival rate for a number of pathologies, the prevalence of malnutrition is increasing. Malnutrition in the home situation will increase due to the decrease in the hospitalization length and the shift of care to primary care.
Screening for malnutrition is indispensable, as only half of malnourished patients are recognized by health care providers. Experience and research show that screening in primary care mainly takes place by monitoring the weight parameter and that validated screening instruments are hardly used. With this study we want to investigate how effective and predictive weight evolution is in screening for (risk of) malnutrition in older people living at home, in comparison with the gold standard, namely the MNA-SF.
Methods
This project is a prospective, longitudinal study with quantitative data. The outcome measure is the weight evolution over six months compared with the score on the MNA-SF at month six.
The target group of this study consists of people over 70 living at home and receiving help from a nurse on a regular basis (at least once a month).
Weight is measured and recorded once a month during 6 months. At the last weight measurement, the MNA-SF is administered.
In order to assess their own nutritional state, three additional questions are asked after taking the MNA-SF
Results
A total of 143 patients consented to participate. Based on the MNA-SF score measured after six months, 37.8% (54/143) was at risk of malnutrition and 4.9% (7/ 143) was malnourished. In order to detect people with (risk of) malnutrition, a sensitivity of 19.3% and a specificity of 96.0% were established with a weight evolution of ≥5% weight loss at six months. To detect malnutrition, this was 71.4% and 92.3%, respectively.
Conclusion
Weight evolution has a low sensitivity in screening for malnutrition in people over 70 living at home compared to the MNA-SF as the gold standard. In order to detect people with malnutrition, weight loss seems to have a considerable predictive value in this study.
Heterogeneous graph construction and HinSAGE learning from electronic medical records
Authors: Cho Ha Na , Ahn Imjin , Gwon Hansle , Kang Hee Jun , Kim Yunha , Seo Hyeram , Choi Heejung , Kim Minkyoung , Han Jiye , Kee Gaeun , Jun Tae Joon , Kim Young-Hak 
Published: September 2022

Abstract
Graph representation learning is a method for introducing how to effectively construct and learn patient embeddings using electronic medical records. Adapting the integration will support and advance the previous methods to predict the prognosis of patients in network models. This study aims to address the challenge of implementing complex and highly heterogeneous dataset, including the following: (1) demonstrating how to build a multi-attributed and multi-relational graph model (2) and applying a downstream disease prediction task of patient’s prognosis using HinSAGE algorithm. We present a bipartite graph schema and a graph database construction in detail. The first constructed graph database illustrates a query of a predictive network which provides analytical insights using graph representation of a patient’s journey. Moreover, we demonstrate an alternative bipartite model where we apply the model to the HinSAGE to perform the link prediction task for predicting the event occurrence. Consequently, the performance evaluation indicated that our heterogeneous graph model successfully predicted as baseline models. Overall, our graph database successfully demonstrated efficient real-time query performance and showed HinSAGE implementation to predict cardiovascular diseases event outcomes on supervised link prediction learning.
Outcomes and Influencing Factors of 126 Pregnancy Patients with Undifferentiated Connective Tissue Disease: A Real-world Prospective Study
Authors: Li Shuting , Zhao Yingjie , Sun Zhijian , Guo Yunfei , Deng Xiaohui , Liu Yuan , Zhang Tongchao , Shu Qiang 
Published: September 2022

Abstract
Background: Undifferentiated connective tissue disease (UCTD) patients have various clinical manifestations and tend to relapse during pregnancy. To analyze the factors influencing pregnancy outcomes, we observed the clinical characteristics of pregnant patients with UCTD and fetal abnormalities events, and compared the disease activity and differences in treatment between adverse pregnancy outcomes (APO) and normal pregnancy outcomes (NAPO).
Methods: 126 pregnancies of 124 UCTD patients were enrolled from September 2018 to October 2021. Participants were divided into the non-aPL (no positive aPL or NC-aPL) group and aPL group. Subgroups (APO and NAPO group) were set according to the outcomes of pregnancy (failed pregnancy group and successful pregnancy group). The clinical characteristics, treatment, and the differences in pregnancy outcomes of each subgroup were analyzed.
Results: The incidence of fetal Doppler ultrasound abnormalities events (DUAE) and APO was different in patients with different antibodies during pregnancy. In the previous pregnancy outcomes, failed pregnancies (especially the unexplained spontaneous abortion within 10 weeks, p=0.033) were more common in the aPL group (p=0.048).
The usage of low dose asprin (LDA) combined with low molecular weight heparin (LMWH) in the aPL group was significantly higher than that in the non-aPL group (p<0.001, p=0.005, p<0.001, respectively). In APO group, the percentage of late fetal loss (≥10 weeks of gestation) in previous pregnancies was 34.4% (11/32)，compared to the 12.8% (12/94) in NAPO cases (p=0.006). Positive aβ2GPI-IgG and the incidence of thrombocytopenia were higher in APO than the NAPO group, that was 31.3%vs. 13.8% (p=0.028), 18.8% vs. 4.3%, (p=0.025), respectively. Multivariate analysis confirmed that the occurrence of late fetal loss in the past, positive aβ2GPI-IgG, and thrombocytopenia was involved as the risk factors of this oncoming APOs.
Conclusion: UCTD patients, whether with aPLs or not, had high-risk pregnancies, and the live birth rate was around 90%. Anti-coagulations were more likely to be needed in patients with positive aPLs and can improve some DUAEs in pregnancies. The influencing factors of APO included the history of late fetal loss, positive aβ2GPI-IgG, and thrombocytopenia.
Displaying Projectile Motion with Nonlinear Air Resistance Using Caputo’s Definition
Authors: Jaradat Emad , Akour Abdulrahman Nawaf , Aloqaly Amer Dakheel , Habashneh Wajd Abd , Jaradat Omar 
Published: September 2022

Abstract
Displaying projectile in a resisting medium for two dimension have two forms; An Ordinary differential equation and a fractional differential equation describe its behavior. The two equations include a nonlinear term, which represents the effect of the air resistance on the motion of the projectile. The development of the Ordinary differential equations for all nonlinear cases is obtained using a developed technique that combines the linear operator Laplace transform and the Adomian decomposition method (ADM) to solve the nonlinear part. To discuss the behavior of the projectile motion we plot the obtained results for several values and study the effect of the order of the nonlinear term on the achievable maximum height. On the other hand, the effects of the proportional factor and the projected mass on the motion have been shown by substituting different values and in the equations of motion. In addition to the Laplace Decomposition Method (LDM), we use the Caputo definition of the fractional derivative to investigate the fractional form of the projectile motion equation. The results show that all the results obtained in the ordinary case may be obtained from the fractional case when α=1.
Mathematics Subject Classification 70K25; 34K37; 44Axx
Sexual dimorphism based on the sternum bone morphometry in human fetuses
Authors: Aragão José Aderval , Matos Ícaro Quintela , Carvalho Higor Dantas Gonçalves , Aragão Iapunira Catarina Sant’Anna , Aragão Felipe Matheus Sant’Anna , Feitosa Vera Lúcia Correa , Reis Francisco Prado 
Published: September 2022

Abstract
Background
Sex determination of unidentified remains found in archaeological or forensic situations has been one of the primary tasks for specialists such as forensic anthropologists or bioarchaeologists. In cases of mass disasters such as armed conflicts, terrorist attacks, plane crashes, war-related crimes, etc., when decomposed, mutilated or damaged mortal remains consisting of only a few bones or their fragments are recovered from the scene, it becomes crucial to establish the biological identity, especially the sex of a missing individual. Although several bones, such as the pelvis, skull and femur, have contributed significantly as an indicator in the determination of sex, we often make use of less dimorphic elements of the skeleton, as is the case of the sternum. The objective of this study was to investigate the sexual dimorphism of the sternum of human fetuses from northeastern Brazil and to verify through statistical methods the accuracy of the sternum measurements to estimate the sex. All measurements of the sternum bones in human fetuses were made with the aid of a digital caliper with a precision of 0.01 mm by 3 different observers and the average was calculated. The means differences were evaluated using the T test and Mann-Whitney test and discriminant analysis.
Result
It was observed that all measurements (length and width of the sternum) in males showed slightly higher means. We can also infer for the model with all variables that the length and widths 2 and 3 of the sternum had an accuracy of 73.3%, whereas in the individual models, width 3 of the sternum had better accuracy (60%).
Conclusion
We can conclude that the sternum measurements of fetuses have not been shown to be reliable as an indicator in the determination of sex. Further development of these methods, as well as the expansion of the database, may help us to develop further sternum-based sex estimation functions and standard measurements for other potentially useful bones.