bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the Relationship Between Gravidity and Placental Malaria Among Pregnant Women in a High Transmission Area in Ghana
Authors: Akinnawo Ayodele , Seyram Kaali , Kaali Ellen Boamah , Harrison Samuel , Dosoo David , Cairns Matthew , Asante Kwaku Poku 
Published: December 2021

Abstract
Background

Malaria infection during pregnancy can cause significant morbidity and mortality to a pregnant woman, her foetus and newborn. In areas of high endemic transmission, gravidity is an important risk factor for infection, but there is a complex relationship with other exposure-related factors, and use of protective measures. This study investigated the association between gravidity and placental malaria (PM), among pregnant women aged 14-49 in Kintampo, a high transmission area of Ghana.
Methods

Between 2008-2011, as part of a study investigating the association between PM and malaria in infancy, pregnant women attending antenatal care (ANC) clinics in the study area were enrolled and followed up until delivery. The outcome of PM was assessed at delivery by placental histopathology. Multivariable logistic regression analyses were used to investigate the association between gravidity and PM, identify other key risk factors, and control for potential confounders. Pre-specified effect modifiers including area of residence, socio-economic score (SES), ITN use and IPTp-SP use were explored.
Results

The prevalence of PM was 65.9% in primigravidae, and 26.5% in multigravidae. After adjusting for age, SES and relationship status, primigravidae were shown to have over three times the odds of PM compared to multigravidae, defined as women with 2 or more previous pregnancies (adjusted OR=3.36 (95% CI 2.39-4.71), N=1808, P<0.001). The association appeared stronger in rural areas (OR for PG vs. MG was 3.79 (95% CI: 3.61-5.51) in rural areas; 2.09 (95% CI: 1.17- 3.71) in urban areas; P for interaction =0.07), and among women with lower socio-economic scores (OR for PG vs. MG was 4.73 (95% CI 3.08-7.25) amongst women with lower SES; OR=2.14 (95% CI 1.38-3.35) among women with higher SES; P for interaction =0.008. There was also evidence of lower risk among primigravidae with better use of the current preventive measures IPTp and LLIN.
Conclusions

The burden of PM is most heavily focused on primigravidae of low SES living in rural areas of high transmission. Programmes should prioritize primigravidae and young women of child-bearing age for interventions such as LLIN distribution, educational initiatives and treatment to reduce the burden of malaria in first pregnancy.
Clinical Audit of Two Standard Surgical Site Treatments Following Dental Extractions and The Impact on Incidence of Alveolar Osteitis Within a Specialist Dental Clinic
Authors: Dakin Myles , Aspinall Richard , Kenny Thomas 
Published: December 2021

Abstract
Background

Alveolar osteitis is a painful condition following dental extraction associated with absence of blood clot and consequent exposure of underlying alveolar bone. It is a condition whose exact aetiology is unresolved and a known complication in up to 30-40% of dental extractions. The following report details a retrospective evaluation of two approved, long-standing wound care treatments used, post-extraction, within our clinic to assess for relationship with alveolar osteitis incidence.
Methods

Patients undergoing non-acute dental extraction at a dental out-patient clinic in the UK had received two different standard treatments for a period from 2000 to 2014. The treatments were mouth rinse with physiologic saline or surgical site irrigation and mouth rinse with physiologic saline-low dose aqueous chlorine used in wound and burn-site care. Retrospective, post-operative outcome analysis suggested improved outcomes with one of the standard treatments versus the other. A full retrospective audit of consecutive treatment outcomes was implemented to test the hypothesis. The audit data-collection was blinded to the treatment administered and to the identity of the treating clinician. Statistical analysis was carried out independently and blinded to the treatment modality.
Results

All patients were routinely reviewed within seven days and a determination of un-complicated healing vs alveolar osteitis (requiring further intervention) was made. Our results show that treatment with of aqueous chlorine in physiological saline significantly reduced the incidence of alveolar osteitis versus the control group who received physiologic saline without socket irrigation and chlorhexidine oral rinse home-care. (Odds Ratio 0.0146 Relative Risk 0.029 (95%CI 0.0093 to 0.0928) significance (p<0.001).
Conclusions

This is the first report to show an extremely significant reduction in the incidence of alveolar osteitis following treatment with low dose aqueous chlorine in physiological saline compared with those receiving the physiologic saline and saline mouth rinse or Corsodyl mouth rinse. This shows an approach to surgical site care is superior to the most common, reported, standard of care treatment. The impact of this has led to improved antibiotic stewardship within the clinic for dental extraction or elective oral surgery, including third molars.
Potential Role of CTNNA3 and FRMPD4 in Vascular Thrombosis of Colon Adenocarcinoma
Authors: Liu Bin , Xiang Yu , Guo Weihua 
Published: December 2021

Abstract
Background: Vascular tumor thrombus is an important pathological feature of malignant tumors, closely related to lymph node metastasis, and considered to be tumor micrometastasis. Two down-regulated genes, Catenin Alpha 3 (CTNNA3) and FERM And PDZ Domain Containing 4 (FRMPD4) were selected via analyzing the differential expression of vascular tumor thrombus in colon adenocarcinoma and paracancerous tissues. Furthermore, we observed the potential role of them in vascular thrombosis of colon adenocarcinoma.Method: Candidate genes for vascular thrombosis of colon adenocarcinoma were screened by GSE127069, and then pan-cancer verification and immune infiltration analysis were performed. The relationship between gene and vascular thrombosis was analyzed from the level of gene mutation by cBioPortal. Finally, the clinical samples collected were used for expression verification.Results: CTNNA3 and FRMPD4 were low-expressed in vascular tumor thrombus of colon adenocarcinoma, which were positively correlated with microsatellite instability (MSI). They were also closely related to immune microenvironment and immune cell subtype infiltration. According to the analysis of gene mutation, their gene deletion was related to the vascular invasion indicator. Finally, the protein and mRNA expression of CTNNA3 and FRMPD4 were down-regulated in the samples of vascular thrombosis of colon adenocarcinoma, compared with the normal glands which from paracancerous tissues.Conclusion: Our study demonstrates that CTNNA3 and FRMPD4 may be potential biomarkers of vascular thrombosis in colon adenocarcinoma. These results may provide a new strategy to identify the micrometastasis in colon adenocarcinoma.
MiR-146a-5p and miR-191-5p are the Candidates for Novel Diagnostic Markers of Ovarian Clear Cell Carcinoma
Authors: Takamizawa Shigeatsu , Kojima Junya , Umezu Tomohiro , Kuroda Masahiko , Hayashi Shigehiro , Maruta Takenori , Okamoto Aikou , Nishi Hirotaka 
Published: December 2021

Abstract
Background: Ovarian cancer is a malignant gynecologic disease rarely diagnosed in the early stages. Among ovarian cancers, clear cell carcinoma has a poor prognosis due to its malignant potential. MicroRNAs (miRNAs) regulate gene expression in cells by suppressing the translation of the target gene or by degrading the target mRNA. They are also secreted from the cells in the blood, binding to the proteins or included in extracellular vesicles lipids and assisting in cell-cell communication. Hence, the serum miRNAs can also be diagnostic biomarkers for ovarian cancer. This study investigated and identified specific miRNAs for ovarian cancer clear cell carcinoma and compared them to those of the ovarian endometrioma in healthy controlpatients. Results: CA125, an ovarian tumor marker, did not differ between ovarian clear cell carcinoma, endometriosis, and healthy controlsthe three groups. Four miRNAs (miR-146a-5p, miR-191-5p, miR-484, and miR-574-3p) were analyzed. The miR-146a-5p and miR-191-5p expression levels were significantly increased in the serum samples from the ovarian clear cell carcinoma subjects compared to the healthy controlscontrols, but not in the subjects with endometriosis (P < 0.05). Furthermore, the bioinformatics analysis showed that CCND2 and NOTCH2 were the candidate target genes of miR‑146a-5p and miR-191-5p.Conclusions: Our results showed that miR‑146a-5p and miR-191-5p might be useful as an early and non-invasive diagnostic tool in ovarian clear cell carcinoma. These miRNAs can help in distinguishing between ovarian clear cell carcinoma and ovarian endometrioma. To the best of our knowledge, no studies have screened any candidates specifically for clear cell carcinoma.
Does Conventional Morphological Evaluation Still Play a Role in Predicting Blastocyst Formation?
Authors: Jiang Xiaoming , Cai Jiali , Liu Lanlan , Liu Zhenfang , Wang Wenjie , Chen Jinhua , Yang Chao , Geng Jie , Ma Caihui , Ren Jianzhi 
Published: December 2021

Abstract
BackgroundAdvanced models including time-lapse imaging and artificial intelligence technologies have been used to predict blastocyst formation. However, the conventional morphological evaluation of embryos is still widely used. The purpose of the present study was to evaluate the predictive power of conventional morphological evaluation regarding blastocyst formation.MethodsRetrospective evaluation of data from 15613 patients receiving blastocyst culture from January 2013 through December 2020 in our institution were reviewed. Generalized estimating equations (GEE) were used to establish the morphology-based model. To estimate whether including more features regarding patient characteristics and cycle parameters improve the predicting power, we also establish models including 27 more features with either LASSO regression or XGbosst. The predicted number of blastocyst were associated with the observed number of the blastocyst and were used to predict the blastocyst transfer cancellation either in fresh or frozen cycles. ResultsBased on early cleavage and routine observed morphological parameters (cell number, fragmentation, and symmetry), the GEE model predicted blastocyst formation with an AUC of 0.779(95%CI: 0.77-0.787) and an accuracy of 74.7%(95%CI: 73.9%-75.5%) in the validation set. LASSO regression model and XGboost model based on the combination of cycle characteristics and embryo morphology yielded similar predicting power with AUCs of 0.78(95%CI: 0.771-0.789) and 0.754(95%CI: 0.745-0.763), respectively. For per-cycle blastocyst yield, the predicted number of blastocysts using morphological parameters alone strongly correlated with observed blastocyst number (r=0.897, P<0.0001) and predicted blastocyst transfer cancel with an AUC of 0.926((95%CI: 0.911-0.94). ConclusionThe data suggested that routine morphology observation remained a feasible tool to support an informed decision regarding the day of transfer. However, models based on the combination of cycle characteristics and embryo morphology do not increase the predicting power significantly.
Acceptance and hesitancy to receive COVID-19 vaccine among university students in Egypt: a nationwide survey
Authors: Tharwat Samar , Saad Ahmed Mohammed , Nassar Mohammed Kamal , Nassar Dalia Kamal 
Published: December 2021

Abstract
Background: The public's willingness to be vaccinated will determine the success of the COVID-19 vaccination programme. The aim of this study was to identify acceptance and hesitancy to receive COVID-19 vaccine among university students in Egypt, assess their level of knowledge about COVID-19 vaccine and identify barriers for hesitancy to uptake of COVID-19 vaccine.Methods: This cross-sectional survey study included 1071 university students. A standardized and self-administered questionnaire was constructed by the authors and distributed to university students allover Egypt.Results: Of the 1071 respondents, 739 (69%) were willing to get vaccinated against COVID-19 while 223 (20.8%) reported vaccine hesitancy. Median knowledge score of participants about COVID-19 vaccine was 4 out of 8 (IQR=8). While fear of getting infected (53.6%) and desire to get back to normal life (51%) were the main motives for intention to get vaccinated, fear of serious side effects (100%) and doubting the efficacy of COVID-19 vaccine (60.5%) were the main reasons for vaccine hesitancy and resistance. About 21% of students (n=225) reported voluntary uptake of COVID-19 vaccine. Conclusion: We identified rates of COVID-19 vaccine acceptance and hesitancy and detected poor knowledge scores among university students which may hinder vaccine acceptance. We also detected poor translation of vaccination intention into actual vaccine uptake. Educational campaigns and efforts aiming to raise awareness about safety and efficacy of COVID-19 vaccines need to be directed to this important population.
Crop Field Classification using Data Fusion of Unmanned Aerial Vehicle (UAV) and Sentinel 2A satellite: the case of Oda Dhawata Kebele Cluster farmland, Oromia Region, Ethiopia
Authors: Demelash Melkamu , Tesfaw Binyam , Tibebe Degefie 
Published: December 2021

Abstract
Accurate crop classification using remote sensing based satellite imageries approach remains challenging due to mix in spectral signatures. Employing Unmanned Aerial Vehicle (UAV) together with satellite imageries is believed in improving crop classification at field. Accordingly, this study aims to evaluate the potential of UAV images by blending with Sentinel 2A satellite images for crop field classification in Ethiopian agricultural context. The main purpose of the blending is to upgrade and or improve the lower resolution of the data source that is the sentinel 2A data which was 10m resolution. In the study, UAV data was used and preprocessed. The preprocessing includes camera calibration, photo alignment, dense point cloud generation based on the estimated camera positioning of scouting crop types. Then, orthomosaic UAV image was generated from single dense point cloud. Then, the processed UAV data was fused with Sentinel 2A (medium resolution) satellite data using Gram Schmidt pan sharpening method.this method is the most approach that it can run large data sets of spatial resultions. For crop classification, the Random forest (RF) machine-learning algorithm and Maximum likelihood methods were applied. Apart from the UAV and S2A data, field data was collected for training the crop classification. The point field data was collected from Teff, Wheat, Faba bean, Barley and Sorghum crop fields The results show that RF classifier algorithm classifies the crop types with 94% overall accuracy whereas the Maximum likelihood classifier with 90% overall accuracy. This implies that fused image has a potential to be used for crop type classification together with relatively better classification technique with high accuracy level
The association between female reproductive tract microbiota and recurrent pregnancy loss: a nested case-control study
Authors: Peuranpää Pirkko 
Published: December 2021

Abstract
Objective
To study the associations of endometrial and vaginal microbiota with recurrent pregnancy loss (RPL).
Design
A nested case-control study.
Setting
Helsinki University Hospital, Finland.
Population
Women with two or more consecutive pregnancy losses (n=47) and healthy control women without a history of pregnancy loss (n=39).
Methods
The endometrial and vaginal microbiota compositions, analysed using 16S rRNA gene amplicon sequencing, were compared between RPL women and controls, and between individual vaginal and endometrial samples. The mycobiota composition was analysed using internal transcribed spacer 1 amplicon sequencing for a descriptive summary. The models were adjusted for confounding variables BMI, age, and parity, and FDR-corrected P-values (q-values) were used to define nominal statistical significance at q < 0.05.
Main outcome measures
Mean relative microbial abundances.
Results
Lactobacillus crispatus was less abundant in the RPL endometrial samples compared to controls (mean relative abundance 17.2% vs. 45.6%, q = 0.04). Gardnerella vaginalis was more abundant in RPL women than in controls in both endometrial (12.4% vs. 5.8%, q < 0.001) and vaginal samples (8.7% vs. 5.7%, q < 0.01). The individual vaginal and endometrial microbial composition correlated strongly (R = 0.85, P < 0.001). Fungi were detected in 22% of the endometrial and 36% of the vaginal samples.
Conclusions
Unfavourable reproductive tract microbiota was associated with RPL and may represent a novel risk factor for pregnancy losses.
Saving Species in a Snap: On the Feasibility and Efficacy of Augmented Reality-based Wildlife Interactions for Biodiversity Conservation
Authors: Pimentel Daniel 
Published: December 2021

Abstract
Interactions with wildlife can contribute to biodiversity conservation outcomes, though safety and accessibility considerations limit animal encounters from being a viable strategy. This investigation explores the feasibility of mobile augmented reality to facilitate interactions with wildlife and encourage biodversity conservation. A mobile augmented reality experience (Snapchat lens), titled “Penguin Rescue!”, was created to allow users to rehabilitate an oil-slicked virtual penguin. Study 1 distributed the lens globally to Snapchat users (N=63,605) who spent an average of 47 seconds rehabilitating the penguin; psychographic data showed pro-environmental interests were not associated with the lens’ use. Study 2 employed a within-subjects experimental design (N=80) to examine the effects of Penguin Rescue! on conservation outcomes. Results showed that the interaction increased connectedness with the species. Moreover, social presence and plausibility served as key mechanisms contributing to environmental concern and behavioral intentions. Overall, results clarify how biophilic interactions via augmented reality can benefit biodiversity conservation.
Family Sports Interventions for the Treatment of Obesity in Childhood: A Meta- A Nalysis
Authors: Hong YANG li , xu Tang li , Na Yu Yao , Qian Xiao , mao Xi mao 
Published: December 2021

Abstract
Background Obesity in children has become one of the key concerns of the World Health Organization (WHO), and the incidence of related non-communicable diseases is also rising.Objective This study evaluates the effect of family sports participation on the treatment and prevention of obesity in children aged 0–14 years old by systematic analysis.Study Design Systematic analysis;Level of Evidence,4.Date Extration according to PRISMA-IPD (Preferred Reporting Items for MetaAnalyses of individual participant data) guidelines.The two researchers independently assessed the risk and bias of the articles, obtained a comprehensive, high-quality result,and extracted the data based on the Cochrane intervention system review manual.Data Sources The databases used to search for literature are Google Scholar,CNKI, VIP, Scopus, Embase, SpringerLink, Sciencedirect, Cochrane Library, Wanfang, PubMed, and Web of Science. The last document search date was November 6, 2020.Study Selection Selection criteria following:Randomized controlled trials (RCTs) were selected from the searches that used family sports interventions or family sports combined with dietary adjustments and behavioral habits change. Only studies targeting overweight or obese children aged 0–14 years were included.Main Results The search resulted in a total of 16 studies. Across all 16 studies, there were a total of 1,680 participants in the experimental groups and 1,701 participants in the control groups. The results are as follows:body mass index (BMI)(SMD-RE = -4.10, 95% CI (-0.84 ~ 0.02), Z = 1.88, P = 0.06); Body weight (SMD-RE = -0.77, 95% CI (-1.53 ~ -0.01), Z = 2.00, P = 0.05); Waist circumference (SMD-RE = -0.45, 95% CI (-1.36 ~ 0.47), Z = 0.96, P = 0.34); Body fat rate (SMD-FE = -0.06, 95% CI (-0.22 ~ 0.11), Z = 0.69, P = 0.49). Hence, through family sports intervention among obese children, juvenile and obese body composition—BMI, body weight, waist circumference, and body fat rate—are all reduced.Conclusions Compared with the samples without family sports, the weight, BMI, body fat rate and waist circumference of obese children participating in family sports decreased
Intraseasonal variability of global land monsoon precipitation and recent change
Authors: Liu Fei , Wang Bin , Ouyang Yu , Wang Hui , Qiao Shaobo , Chen Guosen , Dong Wenjie 
Published: December 2021

Abstract

Accurate prediction of global land monsoon rainfall on a subseasonal (2-8 weeks) time scale has become a worldwide demand. Current forecasts of weekly-mean rainfall in most monsoon regions, however, have limited skills beyond two weeks. Given that two-thirds of the world’s population lives in the monsoon regions, this challenge calls for a more profound understanding of monsoon intraseasonal variability (ISVs). Our comparison of individual land monsoons shows that the high-frequency (HF; 8-20 days) ISV, crucial for the Week 2 and Week 3 predictions, accounts for about 53-70% of the total (8-70 days) ISV in various monsoons, and the low-frequency (LF; 20-70 days) ISV has a relatively high contribution over Australia (AU; 47%), South Asia (SA; 43%), and South America (SAM; 40%) monsoons. The leading modes of HFISVs in Northern Hemisphere (NH) monsoons primarily originate from convectively coupled equatorial Rossby waves (Asia), mixed Rossby-gravity waves (North America, NAM), and Kelvin waves (northern Africa, NAF), while from mid-latitude wave trains for Southern Hemisphere (SH) monsoons and East Asian (EA) monsoon. The Madden-Julian Oscillation (MJO) directly regulates LFISVs in the Asian-Australian monsoon while affecting the American and African monsoons by exciting Kelvin waves and mid-latitude teleconnections. During the past four decades, the HF (LF) ISVs have considerably intensified over the Asian (Asian-Australian) monsoon but weakened over the American (SAM) monsoon. Subseasonal-to-seasonal (S2S) prediction models do exhibit higher subseasonal (Weekly 2-Weekly 4) prediction skills over SA, AU, and SAM monsoons that have larger LFISV contributions than the other monsoons. The results suggest an urgent need to improve the simulation of convectively coupled equatorial waves and two-way interactions between regional monsoon ISVs and mid-latitude processes and between MJO and regional monsoons, especially under the global warming scenarios.