bluuebunny/crossref_metadata_2025_split huggingface dataset:
No Additional Benefit of Eliminating Transfer Cancellations Using Cleavage-stage Transfers for Patients With Few Zygotes: A Retrospective Cohort Study
Authors: Dirican Enver Kerem , Olgan Safak , Sakinci Mehmet , Caglar Mete 
Published: May 2021

Abstract
Purpose

This retrospective cohort study determined the relative efficacy of blastocyst and cleavage-stage transfers in patients with differing numbers of zygotes.
Methods

A total of 1116 women whose embryo transfers were planned independently of patient characteristics were included. Cleavage-stage (D3) and blastocyst-stage (D5) transfer outcomes were analyzed per number of zygotes. The D5 group included transfer cancellations as the intention-to-treat population. The effect of the embryo transfer date on the clinical outcomes (clinical pregnancy and implantation rates) was analyzed using multivariate logistic regression.
Results

Among the patients, 584 and 532 underwent D3 and D5 embryo transfers, respectively. The clinical pregnancy rates were significantly higher in D5 patients with ≥ 6 zygotes (25.7% vs 48.3%). The multivariate logistic regression analysis for clinical pregnancy did not show significant differences between the blastocyst and cleavage-stage transfers in patients with ≤ 5 zygotes (0.874). Compared to the cleavage-stage, blastocyst-stage transfers for patients with ≥ 6 zygotes resulted in a three-fold increase in clinical pregnancy rates (3.122).
Conclusion

Blastocyst transfers were not inferior to cleavage-stage embryo transfers among patients with few zygotes and were preferable for patients with several zygotes.
Adjuvant chemotherapy for peritoneal cytology-positive stage IA endometrial cancer
Authors: Kanno Motoko , Yunokawa Mayu , Nakabayashi Makoto , Omi Makiko , Sugiyama Yuko , Takeshima Nobuhiro , Kanao Hiroyuki , Ikki Ai , Mizusaki Megumi , Nishimura Mai , Okamoto Kouta , Tanaka Yuji , Fusegi Atsushi , Netsu Sachiho , Kurita Tomoko , Aoki Yoichi , Tanigawa Terumi , Matoda Maki , Okamoto Sansiro , Nomura Hidetaka , Omatsu Kohei , Utsugi Kuniko , Shimizu Yusuke 
Published: May 2021

Abstract
Purpose

This study aimed at evaluating the influence of positive peritoneal cytology (PPC) on the prognosis of patients with stage IA endometrial cancer, and the usefulness of adjuvant chemotherapy in their treatment.
Methods

We retrospectively analyzed the data of patients with stage I A endometrial cancer admitted in our hospital between 2005 and 2015.
Results

Among 989 patients with stage IA endometrial cancer who underwent peritoneal cytology, 135 (13.7 %) had PPC. In multivariate analysis, BMI ≥ 25 kg/m2, grade 2 cancer, type II cancer, muscle invasion, and PPC were extracted as independent risk factors for recurrence in stage IA patients. In addition, type II cancer was identified as an independent risk factor in stage IA patients with PPC. There was no significant difference in the 5-year relapse-free survival rate in stage IA patients with PPC who received adjuvant chemotherapy when compared those who did not receive chemotherapy (p = 0.78). Similarly, the difference in the 5–year recurrence free survival rate between the two groups was not significant in patients with type II cancers (p = 0.11). However, the baseline risk of 5-year relapse-free survival without chemotherapy in stage IA patients with PPC and type II was very low (66.7%).
Conclusions

PPC was an independent risk factor for recurrence in stage IA endometrial cancer. Adjuvant chemotherapy did not influence the relapse-free survival rate in patients with stage IA endometrial cancer with PPC. Therefore, it is necessary to investigate adjuvant chemotherapy for early endometrial cancer patients with risk factors for recurrence, especially those with multiple factors.
Coating Matching Recommendation Based on Improved Fuzzy Comprehensive Evaluation and Collaborative Filtering Algorithm
Authors: Xin Yuan , Henan Bu , Jianmin Niu , Wenjuan Yu , Honggen Zhou , Xingyu Ji , Pengfei Ye 
Published: May 2021

Abstract
Coating matching design is one of the important parts of ship coating process design. The selection of coating matching is influenced by various factors such as marine corrosive environment, anti-corrosion period and working conditions. There are also differences in the coating performance requirements for different ship types and different coating parts. At present, the design of coating matching in shipyards depends on the experience of technologist, which is not conducive to the scientific management of ship painting process and the macro control of ship construction cost. Therefore, this paper proposes a hybrid algorithm of fuzzy comprehensive evaluation and collaborative filtering based on user label improvement (IFCE-CF). User interest labels and hierarchical analysis are used to calculate the combined weights, and collaborative filtering algorithm based on matrix decomposition is used to achieve personalized recommendations for coating matching. Historical coating process data of a shipyard between 2010 and 2020 were selected to verify the recommendation ability of the method in the paper. The results show that using the coating matching intelligent recommendation algorithm proposed in this paper, Root Mean Square Error < 1.02 and Mean Absolute Error < 0.79, the prediction accuracy is significantly better than other research methods, which proves the effectiveness of the method.
Image Fusion Algorithm in Integrated Space-Ground-Sea Wireless Networks of B5G
Authors: Yu Xiaobing , Cui Yingliu , Wang Xin , jinjin Zhang 
Published: May 2021

Abstract
In recent years, in Space-Ground-Sea Wireless Networks, the rapid development of image recognition also promotes the development of images fusion. For example, the content of single-mode medical image is very single, and the fused image contains more image information, which provides a more reliable basis for diagnosis. However, in wireless communication and medical image processing, the image fusion effect is poor and the efficiency is low. To solve this problem, a image fusion algorithm based on fast finite shear wave transform and convolutional neural network is proposed for wireless communication. Firstly, the source image is decomposed by fast finite shear wave transform (FFST); secondly, the convolution neural network is improved to reduce the dimension of convolution layer from two steps, and the number of iterations and the optimal weight of convolution neural network are determined by experiments; finally, the image is fused by the inverse process of fast finite shear wave transform. The experimental results show that the algorithm has a very good effect in both objective indicators and subjective vision, and it is also very feasible in wireless communication.
Association of Phase Angle and Sarcopenia in Chronic Msculoskeletal Pain Patients: A Retrospective Study
Authors: Tsuji Hironori , Tetsunaga Tomoko , Tetsunaga Tomonori , Misawa Haruo , Hamada Masanori , Katayama Yoshimi , Yamane Kentaro , Oda Yoshiaki , Takao Shinichiro , Kajiki Yuya , Takei Yoshitaka , Nishida Keiichiro , Senda Masuo , Ozaki Toshifumi 
Published: May 2021

Abstract
In chronic musculoskeletal pain patients, early prevention and detection for musculoskeletal dysfunction (i.e., sarcopenia) is an issue of significant clinical interest. Phase angle, which can be measured through bioelectrical impedance analysis, can detect sarcopenia; however, the evidence on chronic musculoskeletal pain patients is limited. This study aimed to assess the relationship between phase angle and sarcopenia in patients with chronic musculoskeletal pain. A total of 190 patients (51 men, 139 women; mean age: 67.2 years) with chronic　musculoskeletal pain were included in this retrospective cross-sectional study. Sarcopenia was diagnosed using the Asian Working Group for Sarcopenia Criteria 2019. A total of 51 patients (26.7%) including 10 men (19.6%) and 41 women (29.5%) were diagnosed with sarcopenia. Phase angle, sarcopenia-related factors, age, and BMI differed significantly in patients with and without sarcopenia. On multiple logistic regression analysis, the prevalence of sarcopenia was observed to be significantly correlated with phase angle and BMI. The areas under the curve exhibited high accuracy in discriminating sarcopenia in men and moderate accuracy in both genders and in women. We conclude that phase angle may be a useful tool for detecting sarcopenia in the patients with chronic musculoskeletal pain.
Flood Forecasting in the Sparsely Gauged Jhelum River Basin of Greater Himalayas Using Integrated Hydrological and Hydraulic Modelling Approach
Authors: Parvaze Sabah , Khan Junaid Nazir , Kumar Rohitashw , Allaie Saqib Parvaze 
Published: May 2021

Abstract
Flood forecasting using hydrological and hydraulic models is an efficient non-structural flood management option. For real-time flood forecasting in the data scarce Jhelum basin, the present study evaluated the capability of MIKE 11 Nedbor-Afstromings Model (NAM), hydrodynamic (HD) and flood forecasting (FF) models to forecast streamflow of four principal gauging stations of river Jhelum (Sangam, Ram Munshi Bagh, Asham and Baramulla). European Centre for Medium-Range Weather Forecast (ECMWF) model-forecasted precipitation and temperature data was used to increase the forecast lead time to 7 days. The forecast results were assessed by calculating coefficient of determination (R2), Nash-Sutcliffe Efficiency (NSE) and various error indices. Integration of the MIKE 11 NAM and HD modules improved the results of MIKE 11 NAM significantly. Values of R2 improved by 8–15% while that of NSE improved by 8–14% at various stations by using integrated model. MIKE 11 FF with ECMWF input was used to simulate the streamflow with lead times of 1to 10-days. The forecast results were efficient for lead times up to 7-days with R2 and NSE values 0.8 and 0.7, respectively. Peak error for 7-days forecast was 19.1% and the peak time error was 1.2 h. The developed model can be used for short to medium range flood forecasting for the data scarce, snow dominated Jhelum basin and can apply to similar basins around the globe as a component of the early flood warning system.
Integrative Small RNA and Transcriptome Analysis Provides Insight Into Key Role of Mir408 Towards Drought Tolerance Response in Cowpea
Authors: Mishra Sagarika , Sahu Gyanasri , Shaw Birendra Prasad 
Published: May 2021

Abstract
Cowpea, a highly nutritious legume crop exhibits high resilience to heat and drought stress. Small RNA and transcriptome sequencing was performed in an elite high-yield Indian cultivar, Pusa Komal. Overall, 233 conserved and 10 novel drought-responsive miRNAs, and around 2995/497 drought-responsive genes were observed in libraries generated from leaf/root tissues of cowpea. Using 5’ RLM-RACE approach, NAC29, auxin response factor 8, copper chaperone for superoxide dismutase, scarecrow-like protein 6, mitochondrial substrate carrier family protein B, and laccase 12 were identified as cleaved targets of differentially expressed miRNAs such as miR167, miR171m, miR398c, miR408, miR1514, novel_792, and novel_796 in cowpea. Moreover, the potential role of differentially up-regulated miR408 in cowpea was exploited by the generation of transgenic cowpea lines overexpressing amiR408a-3p. The transgenic OX-amiR408 cowpea lines displayed enhanced drought and salinity tolerance as compared to control plants and maintained higher relative water content, chlorophyll, and proline content, and lower cellular H2O2 content under drought stress. The SEM analysis revealed reduced stomatal aperture and higher trichome density in transgenic OX-amiR408 lines. Furthermore, genes related to trichome development, transparent testa glabra 1 (TTG1), and glabrous inflorescence stems (GIS3) showed ~1.45-fold change in transgenic lines. Selected DGE for GO enriched terms for biological processes like lipid metabolic processes, hydrogen peroxide catabolic process, and response to oxidative stress, such as LAC3, LAC12, GDSL esterase/lipase CPRD49 and peroxidase 25 were altered in transgenic OX-amiR408 lines.
Further Probing the Mechanisms Driving Projected Subtropical Decreases of Extreme Precipitation Intensity.
Authors: Mpanza Thabo Msawenkosi Agrippa , Tandon Neil 
Published: May 2021

Abstract
Regional projections of extreme precipitation intensity (EPI) are strongly influenced by regional projections of “extreme ascent,” i.e. ascending air during periods of extreme precipitation. Earlier studies have performed analysis suggesting that long-term changes in eddy length scale and vertical stability are key factors influencing extreme ascent projections, but these mechanisms have yet to be confirmed with controlled model experiments. In this study, we perform such controlled experiments using a cloud-resolving model (CRM). The selected CRM domains are two locations over the subtropical South Atlantic Ocean where global climate models consistently project weakening of extreme ascent with accordingly decreased EPI. At each study location, three pairs of 20-year maximum precipitation events are simulated with the CRM, with each pair consisting of an event during the historical period (1981-2000) and an event during the future period (2081-2100), with large-scale forcings for the three pairs derived from three different members of an initial condition ensemble of the Canadian Earth System Model version 2 (CanESM2). These experiments reveal that, in both study locations, weakening of differential cyclonic vorticity advection (dCVA) is a key driver of projected decreases in extreme ascent and EPI. Weakening of dCVA is expected in accordance with hydrostatic balance because, as temperatures warm, the pressure spacing between geopotential surfaces increases. Although there is evidence that the CRM is more sensitive to dCVA changes than CanESM2, such a dCVA mechanism may nonetheless be important to consider for EPI changes in the real world.
Interstitial collagenase MMP-1 and EMMPRIN in cell lines transformed with HPV16 and HPV18, and clinical specimens of cervical squamous cell carcinoma
Authors: Timoshenko Olga S. , Solovyeva Nina I. , Kugaevskaya Elena V. , Gureeva Tatiana A. 
Published: May 2021

Abstract
Background: The aim of this study was to elucidate the features of expression of the inducer of expression of matrix metalloproteinases – EMMPRIN (EMN) and matrix metalloproteinase - MMP-1 in cell lines transformed with HPV16 and HPV18, and clinical samples of squamous cell carcinoma of the cervix uteri (SCC), as factors of tumor invasion.Material and methods: The study was carried out using RT-PCR and immunohistochemical studies (IHC).Results: The data obtained indicate that the expression of mRNA EMN and MMP-1 occurs in all cell lines. No direct correlation was found between the expression of EMN and MMP-1. Expression of mRNA of both EMN and MMP-1 in the HPV18 cell lines was more pronounced than in HPV16. The expression of MMP-1 in tumor tissue of SCC, as a rule, was significantly higher than in normal tissue, according to densitometry data by 5-7 times. The high MMP-1 mRNA expression was found in 90% of tumor samples. Expression of EMN mRNA was found in tumor and normal tissues. In most tumor samples, expression was at or below normal tissue level, and an increase in expression was detected in only isolated cases of SCC. ﻿Conclusion: The obtained data are important for understanding the process of tumor development and may have prognostic value. MMP-1 can serve as a marker of the invasive potential of SCC.
PFKFB4 Interference Regulates Mitochondrial Membrane Fusion and Affects Glioma Proliferation and Apoptosis
Authors: zhao kai , Yu Chaojun , Luo Ji , Huang Minhao , Wen Qian , Zhao Ninghui 
Published: May 2021

Abstract
Background: Fructose-2,6-biphosphatase 4 (PFKFB4) is a key enzyme in glucose metabolism, and its differential expression is closely related to the occurrence and development of tumors. However, the related molecular mechanisms in glioblastoma(GBM) remain unclear. Methods: Firstly, the expression of PFKFB4 in normal and GBM tissues was analyzed by bioinformatics in The Cancer Genome Atlas (TCGA) database, and the relationship between PFKFB4 and survival was analyzed. Then detected the expression of PFKFB4 in tissues and cells of glioma. After PFKFB4 Interference, observed the proliferation by CCK8 and EDU, apoptosis of U87 cells by flow cytometry. the content of ATP and mitochondrial membrane function were detected. The possible interaction mechanism between PFKFB4 and mitochondria was analyzed by bioinformatics and verified by qPCR and Western blotting(WB). Finally, the experiment of subcutaneous tumor formation in nude mice was verified.Results: Our study found that PFKFB4 is highly expressed in glioma tissues and cell lines. High expression levels are associated with a poor prognosis. In addition, PFKFB4 inhibition attenuates the proliferation and mitochondrial function of cancer cells promotes apoptosis, and can also reduce ATP levels. Further studies showed that PFKFB4 affects the metabolic reprogramming of gliomas by regulating mitochondrial membrane fusion, Regulating the protein expression of mitofusin 1(MFN1), mitofusin 2(MFN2), opticatrophy-1(OPA1). Animal studies verify these results.Conclusion: PFKFB4 may be a potential therapeutic target for glioma.
New Imaging and Clinical Manifestations of NDMSBA Disorder Caused by a Novel Homozygous Missense Variant of PLAA
Authors: Dehghani Ali , Razmara Ehsan , Rasoulinezhad Maryam , Bitarafan Fatemeh , Tavasoli Ali Reza , Garshasbi Masoud 
Published: May 2021

Abstract
Background: Phospholipase A-2-activating protein (PLAP) has essential roles in biological pathways. Neurodevelopmental disorder with progressive microcephaly, spasticity, and brain anomalies (NDMSBA) is a complex neurodevelopmental disease caused by defects in the PLAA gene (MIM: 603873). Herein, we aimed to detect the potential genetic factors contributing to the NDMSBA phenotype in a 2.5-year-old affected male in an Iranian consanguineous family.Methods: After meticulously performing neuroimaging and clinical examinations, due to heterogeneity of neurodevelopmental diseases, the proband was subjected to paired-end whole-exome sequencing (WES). The candidate variant was confirmed by Sanger sequencing and different in silico predictions were used to show the pathogenicity of the variant. Results: The brain magnetic resonance imaging revealed lissencephaly, polymicrogyria, severe subcortical, deep and deep white matter signal abnormalities, thinning of the corpus callosum, and severe vermis atrophy. Interestingly, we detected a novel homozygous missense variant, NM_001031689.3:c.2264A>G;p.(Asp755Gly) in the PLAA gene. To the best of our knowledge, this variant is the second one identified within the PUL domain (PLAP, Ufd3p, and Lub1p) of PLAP and also the sixth reported variant throughout the PLAA gene. In silico analyses underscored the pathogenicity of the variant. Conclusions: The present study demonstrated severe cerebral and cerebellar white matter signal abnormalities, hypertelorism, strabismus, and drooling in the proband as the novel manifestation of NDMSBA that in turn caused by a novel likely pathogenic missense variant. Further studies are required to confirm how this variant contributes to NDMSBA.
Longitudinal blood cell transcriptomic profiling and in vitro temporal proteomics provides novel insights into metabolic reprogramming and host-immune responses against Crimean-Congo Hemorrhagic Fever Virus
Authors: Neogi Ujjwal , Elaldi Nazif , Appelberg Sofia , Ambikan Anoop , Kennedy Emma , Dowall Stuart , Bagci Binnur , Gupta Soham , Rodriguez Jimmy , Akusjärvi Sara Svensson , Monteil Vanessa , Vegvari Akos , Banerjea Akhil , Weber Friedemann , Hewson Roger , Mirazimi Ali 
Published: May 2021

Abstract
The pathogenesis and host-viral interactions of the Crimean–Congo hemorrhagic fever orthonairovirus (CCHFV) are convoluted and is not well evaluated. To understand the host immune responses against CCHFV, we have performed a global transcriptomic analysis of peripheral blood mononuclear cells from a longitudinal cohort of CCHF patients who survived the infection and temporal untargeted proteomics analysis of CCHFV infected Huh7 cells. Our results indicate that during the acute phase of CCHFV infection, the host's metabolic reprogramming towards central carbon metabolism including glycolysis and glutaminolysis occurs that favours the virus replication as blocking these pathways in vitro inhibits CCHFV cellular replication. Furthermore, CCHFV replication was inhibited by blocking Akt with MK-2206 suggesting a regulatory role of PI3K/Akt/mTOR pathways. We also show activation of key interferon stimulating genes during infection, suggesting a role for type I and II interferon-mediated antiviral mechanisms. Targeting immune-metabolic pathways could be attractive therapeutic intervention for CCHFV.
Transcription of macromolecular N degrading genes provides a window into organic nitrogen decomposition in soil
Authors: Sieradzki Ella Tali , Nuccio Erin Elaine , Pett-Ridge Jennifer , Firestone Mary K 
Published: May 2021

Abstract
Background: Nitrogen (N) is commonly limiting in soil in part because most N is present in macromolecular organic compounds and not directly available to plants. Using extracellular enzymes, the soil microbial community present near roots (rhizosphere) is largely responsible for transforming organic substrates, which yields nitrogen in forms that are plant-available. Microbial genetic potential (genes) and the cycling of inorganic nitrogen pools have been extensively documented and widely explored in rhizospere soil. But there is scarce information on microbial gene expression for macromolecular nitrogen decomposition and how it relates in space and time to life stages of plant roots. Here we use a suite of time-resolved metatranscriptomes from rhizosphere and bulk soil to follow bacterial and fungal extracellular protease and chitinase expression during rhizosphere aging. We also explore the effect of adding plant root litter as a distinct source of macromolecular carbon and nitrogen. Results: Expression of extracellular proteases in rhizosphere soil increased with plant growth in the absence of litter, whereas chitinase ( chit1 ) was highly upregulated in the detritusphere. Structural groups of proteases were dominated by serineproteases, despite the higher abundance of metalloproteases previously observed in soil and aquatic systems. Extracellular proteases of Betaprotebacteria were more highly expressed in the rhizosphere, whereas those of Deltaroteobacteria and Fungi responded strongly to the presence of litter. We identified distinct functional guilds of taxa specializing in decomposition of proteins in the rhizosphere, detritusphere and in the vicinity of aging roots. We also identify a sub-guild that appears to specialize in protein decomposition in the presence of growing roots as well as litter that increases its activity in aging rhizosphere soil, which may be particularly N limited. Taxonomic membership of these guilds partially overlapped with functional guilds identified by carbon decomposing enzymes, making up multifunctional guilds. Conclusions: We found organic N decomposers have distinct spatiotemporal preferences that are selected during plant growth. Rhizosphere microbes which could potentially benefit plants by degrading macromolecular nitrogen were not comparatively active in bulk soil, even in the presence of root litter, implying that they are enhanced near plant roots and less competitive in bulk soils.