bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systematic Transcriptome Analysis of Synovial Sarcoma Reveals Novel Transcriptional And Post-Transcriptional Abnormalities
Authors: Sun Zhengwang , Xu Qiyue , Huang Quan , Yin Mengchen , Zhang Hongqiang , Chen Geng , Chen Yong , Yan Wangjun 
Published: September 2021

Abstract
Background: Synovial sarcoma (SS) is a rare and aggressive cancer that can come from distinct soft tissue types including muscle and ligaments. The SS transcriptome is crucial for understanding the SS biology; however, the transcriptomic landscape of SS is still poorly understood. Methods: We performed deep total RNA sequencing on ten paired SS and tumor-adjacent tissues to systematically dissect the transcriptomic profile of SS in terms of gene expression, alternative splicing, gene fusion, and circular RNAs.Results: A total of 2,309 upregulated and downregulated genes were identified between SS and tumor-adjacent tissues. Those upregulated genes could lead to the upregulation of the cell cycle, ribosome, and DNA replication pathways, while the downregulated genes may result in the downregulation of a set of metabolic biological processes and signaling pathways. Moreover, 2,511 genes (including 21 splicing factors) were differentially alternative spliced, indicating that the deregulation of alternative splicing could be one important factor that contributes to the tumorigenesis. Additionally, we identified the known gene fusions of SS18-SSX1/SSX2 as well as 11 potentially novel gene fusions. Interestingly, 49 circular RNAs were differentially expressed and their parental genes could function in muscle contraction and muscle system processes. Conclusions: Collectively, our comprehensive dissection of the transcriptomic profile of SS from both transcriptional and post-transcriptional levels provides novel insights into the biology and underlying molecular mechanism of SS.
PPT1 Deficiency-Induced GABAAR Hyperpalmitoylation Impairs Synaptic Transmission And Memory Formation
Authors: Tong Jia , Feng Bingyan , Gao Jingjing , Zhao Xing , Li Junmei , Qi Yawei , Yuan Tiangang , Zhang Qiuyu , Lu Chengbiao , Peng Shiyong 
Published: September 2021

Abstract
Background: Palmitoylation is a reversible and dynamic process involving addition of palmitic acid to cysteine residues of proteins. Studies have indicated that a variety of neuronal receptors, including glutamate receptors such as AMPAR, NMDAR, and GABAAR, are palmitoylated, which contributes to the dynamic modulation of synaptic strength in response to neuronal activity. However, little is known about the depalmitoylation of these receptors. Methods: A mouse model with a lost function mutation knock-in of palmitoyl protein thioesterase 1 (PPT1), an important enzyme for depalmitoylation, was employed to mimic human disease of infantile neuronal ceroid lipofuscinosis (INCLs). Immunofluorescent staining, Western blotting, biochemical assays, electrophysiological recording and behavioural tests were used to measure the effects of PPT1 deficiency.Results: We identified for the first time that the GABAARα1 subunit rather than AMPAR is the substrate of PPT1. In PPT1-deficient mice, excessive palmitoylation and extended membrane location of GABAAR were detected. Simultaneously, spatial learning and memory deficits with dysregulation of neuronal network γ oscillation and impairment of long-term plasticity were shown in the mice at as early as 2-month-old. Application of N-tert-butylhydroxylamine hydrochloride, a thioesterase mimetic, attenuated PPT1 mutation-induced GABAAR hyper-palmitoylation and its membrane accumulation with improved neuronal transmission and memory functions in the mice. Conclusions: These data provide new insights into the mechanisms of neuronal disorder caused by depalmitoylation deficiency and offer a clue for further intervention for INCLs and other neurodegenerative diseases.
Adenomyosis: Is It A Confounder Or An Innocent Companion In Patients With Endometrial Hyperplasia?
Authors: Taşgöz Fatma Nurgül , Erturk Nergis Kender , Kılıç Gulnur Tanrıverdi , Gokce Gulay 
Published: September 2021

Abstract
Purpose: To evaluate the effect of adenomyosis on the discordance of pathologic findings in patients with endometrial hyperplasia (EH) before hysterectomy.Methods: Two hundred seventeen patients who were diagnosed as having EH via endometrial sampling and underwent hysterectomy within 3 months were included in this retrospective study. The patients’ preoperative and postoperative pathologic findings were compared and discordant results were defined as overdiagnosed and underdiagnosed.Results: The rate of concurrent endometrial carcinoma (EC) among all EH was 22.11%, whereas this rate was 41.4% in EH with atypia. There was no difference between EH subtypes in terms of demographic characteristics and coexisting myometrial lesions. The discordance between preoperative endometrial sampling and final hysterectomy specimen results was evaluated, and patients with underdiagnosis were older (60.5 years, p<0.001), had a higher BMI (30.84 kg/m2, p<0.001), were mostly postmenopausal (p<0.001), had lower parity numbers (median=2, p=0.002), and had a lower rate of co-existing adenomyosis (p=0.009). The rates of co-existing leiomyomas between the groups were not different. No effect of other demographic characteristics was observed in the multivariate regression analysis; however, the presence of adenomyosis was a significant independent risk factor affecting a 5.8-fold increase in overdiagnosis (-1.50; OR: 0.17 (0.05-0.50) p=0.002) and 4.5-fold increase in underdiagnosis (-1.50; p=0.005).Conclusion: Co-existing adenomyosis could lead to discordance of the pathologic findings in women with EH diagnoses before hysterectomy.
Short-Term Traffic Volume Forecast Method Based On CNN-LSTM-At
Authors: Xu Xing , Liu Chengxing , Zhao Yun , Yu Xuyang , Wu Xiang 
Published: September 2021

Abstract
In order to tackle existing traffic flow prediction problem, a Traffic Volume Forecast Model based on deep learning is designed. The model implements Convolutional Neural Network (CNN) to extract spatial matrix information, uses long and short-term neural network (LSTM) for sequence prediction, appends attention mechanism to time step on LSTM, and assigns weights to different time steps. By implementing model verification on the Chengdu taxi dataset, dividing data into various categories, cross validating different categories of data, and comparing the model with other models, it is concluded that the CNN-LSTM-At network model proposed in this article has higher accuracy compared with traditional network model.
Endothelial Progenitor Cell Transplantation Attenuated Synaptic Loss by Enhancing CR3 Dependent Microglial Phagocytosis in Mice
Authors: Ma Yuanyuan , Jiang Lu , Wang Liping , Li Yongfang , Liu Yanqun , Wang Yongting , Yang Guo-Yuan , Ding Jing , Zhang Zhijun 
Published: September 2021

Abstract
Background: Endothelial progenitor cell (EPC) transplantation has been shown to have therapeutic effects in cerebral ischemia. However, whether the therapeutic effect of EPCs is a result of the modulation of microglia activity remain elusive. Methods: Adult male mice (n=184) underwent 90 minute-middle cerebral artery occlusion and EPCs were transplanted into the peri-infarct region immediately after the surgery. Microglia migration and phagocytosis were evaluated in the ischemic brain in vivo and underwent oxygen-glucose-deprivation culture condition in vitro. Complement receptor 3 was examined in ischemic brain and cultured primary microglia. Complement receptor 3 agonist leukadherin-1 was intraperitoneally injected to mice immediately after ischemia to imitate the EPC effect. Expression of synapse remodeling related synaptophysin and PSD-95 proteins was detected in the EPC and leukadherin-1 treated mice, separately. Results: EPC transplantation increased the number of microglia in the peri-infarct region of the brain at 3 days after focal ischemia (p<0.05). The ability of phagocytizing apoptotic cells of microglia was higher in EPCs transplanted group at 3 days after ischemia compared to the controls (p<0.05). In vitro study showed that cultured microglia displayed a higher migration (p<0.05) and phagocytosis ability (p<0.05) under the stimulation of EPC conditioned medium or cultured EPCs compared to the controls. Complement receptor 3 expression in the ischemic mouse brain with EPC transplantation (p<0.05), and primary microglia treated by EPC conditioned medium or cultured EPCs was up-regulated (p<0.05). Leukadherin-1 reduced brain atrophy volume at 14 days (p<0.05) and ameliorated neurological deficiency during 14 days after cerebral ischemia (p<0.05). Both EPC transplantation and leukadherin-1 injection increased synaptophysin (p<0.05) and PSD-95 expressions (p<0.05) at 14 days after focal ischemia. Conclusion: We concluded that EPC transplantation promoted regulating complement receptor 3 mediated microglial phagocytosis at acute phase, and subsequently benefited for attenuating synaptic loss at the recovery phase of ischemic stroke, which provided a novel therapeutic mechanism of EPC for cerebral ischemia.
Crop Recommendation System by Artificial Neural Network
Authors: S Bangaru Kamatchi , Parvathi R. 
Published: September 2021

Abstract
The agriculture yield mostly depends on climate factors. Any information associated with climatic factors will help farmers in foreordained farming. Choosing a right crop at right time is most important to get proper yield. To help the farmers in decision making process a classification model is built by considering the agro climatic parameters of a crop like temperature, relative humidity, type of soil, soil pH and crop duration and a recommendation system is built based on three factors namely crop, type of crop and the districts. Predicting the districts is the novel approach in which crop pattern of 33 districts of Tamilnadu is marked and based on that classification model is built. Thorough analysis of machine learning algorithms incorporating pre-processing, data augmentation and comparison of optimizers and activation function of ANN. Log loss metric is used to validate the models. The results shows that artificial neural network is the best predictive model for classification of crops crop type and district based on agrometeorological climatic condition. The accuracy of artificial neural network model is compared with five different machine learning algorithms to analyse the performance.
Investigating the Impact of Self-Heating Effects on Some Thermal and Electrical Characteristics of Dielectric Pocket Gate-All-Around (DPGAA) MOSFETs
Authors: Purwar Vaibhav , Gupta Rajeev , Tiwari Pramod Kumar , Dubey Sarvesh 
Published: September 2021

Abstract
The dielectric pocket gate-all-around (DPGAA) MOSFET is being considered the best suited candidate for ULSI electronic chips because of excellent electrostatic control over the channel. However, the phenomena of self-heating and hot carrier injection (HCI) severely affect the performance of the device, and make the behaviour of the DPGAA FET very unpredictable. In the present article, a comprehensive investigation under the influence of self-heating effects has been done for the variation in the lattice and carrier temperature against spacer length, ambient temperature, device length, and thermal contact resistance including ON and Off currents with gate bias voltage (VGS). In order to analyse the SHEs, the hydrodynamic (HD) and thermodynamic (TD) transport models have been used for three-dimensional (3D) electrothermal (ET) simulation. The Lucky (hot carrier injection) model has been used to study the HCI degradation in DPGAA MOSFET using Sentaurus 3D TCAD simulator.
Expression Profile And Genome-Wide Association Analyze of Silique Length In Brassica Napus L.
Authors: wang Jia , Fan Yueling , Mao Lin , Qu Cunmin , Lu Kun , Li Jiana , Liu Liezhao 
Published: September 2021

Abstract
Background: Silique length (SL) is an important trait tightly related to seed yield in Brassica napus (B. napus). Many studies related to SL have been reported in B. napus, but only a few candidate genes have been found and cloned, and the regulatory mechanism of SL is not clear. Results: We identified QTL for SL by using a RIL population and two independent GWAS populations. Major QTL on A07, A09, and C08 chromosome were stably detected in all environments from all populations. As important candidate genes, several genes related to starch and sucrose metabolism, plant hormone signal transmission and phenylpropanoid biosynthesis were detected in the main QTL interval. Such as, BnaA9.CP12-2, BnaA9.NST2, BnaA7.MYB63, BnaA7.ARF17, etc. At the same time, the results of RNA-seq and WGCNA showed that starch and sucrose metabolism, photosynthesis, and secondary cell wall biosynthesis played an important role in the development of siliques. Conclusions: we propose that photosynthesis, sucrose and starch metabolism, plant hormones, and lignin content play an important role in the development of rapeseed silique.
INHBA is A Novel Prognostic Biomarker And Correlated With Immune Infiltrates In Gastric Cancer
Authors: Yu Weifeng , Zhong Zishao , He Guihua , Zhang Wang , Ye Zhenhao , Huang Suiping 
Published: September 2021

Abstract
Background: Inhibin subunit beta A (INHBA) is reportedly a potential prognostic biomarker for a variety of cancers. However, its role in gastric cancer (GC) remains elusive. Methods: The expression of INHBA in GC and healthy tissues based on the data obtained from the UCSC Xena database. Logistic regression and Cox regression was performed to explore the correlation between clinical indicators and INHBA expression. Kaplan–Meier curve analysis was performed to assess the impact of INHBA expression on overall survival(OS). In addition, Received operating characteristic curve analysis was implied to clarify the diagnostic role of INHBA in GC. Functional analyses were conducted to explain the potential functions and enrichment pathways for INHBA. TIMER and GEPIA databases were used to calculate the confidence between INHBA and immune cell infiltration in GC. Results: INHBA was upregulated in GC(P < 0.001) and associated with a poor prognosis(P = 0.037). INHBA expression was an independent risk factor for OS(P = 0.004). Additionally, INHBA was a potential diagnostic marker in GC(AUC=0.961) and it was associated with extracellular matrix organization, response to growth factor, and cell-substrate adhesion. Tumor-associated signaling pathways, such as Wnt, Hippo, and p53, were associated with INHBA. Reactome pathways, such as collagen formation and extracellular matrix organization, were significantly enriched. Moreover, high INHBA expression displayed a strong correlation with immune cell infiltration, especially with macrophage infiltration in GC.Conclusions: INHBA could be a potential prognostic biomarker for GC and may drive the abnormal activity of critical cancer-associated pathways, potentially contributing to immune cell infiltration to promote GC development and becoming a new drug target for targeted GC therapies.
Prognostic Value of Left Atrial Volume Index in End Stage Renal Disease Patients
Authors: saleem sidra , Mansur Abeera , Naveed Haris , Zartash Syeda Huma , Mahmood Asad , Ittifaq Afshan , Sarwar Shahbaz 
Published: September 2021

Abstract
Introduction: Cardiovascular Disease is the leading cause of death in End Stage Renal Disease patients. Left atrial volume index is an established independent risk predictor for mortality in atherosclerotic heart disease. However, Left atrial volume index has not been extensively studied in hemodialysis population. The aim of this study is to assess the impact of Left atrial volume index on mortality in hemodialysis patients.Methods: This is a descriptive cross sectional study. From January 1, 2013, through April 30, 2018, we evaluated echocardiographic findings of 91 End stage renal disease patients on maintenance hemodialysis. Patient information was collected and data analysed using SPSS version 22 for windows software package. Results :The average age of the patients was 62.85±12.4 years. The average duration of dialysis was 29.54 months as shown in Table 1.The mean Left atrial volume index of our dialysis patients was 38.993 ml/m2. The mean Left atrial volume index of 42.62±10.24 ml/m2 in expired patients as compared to 36.6 ml/m2 in alive patients with a p-value of 0.004 shows that Left atrial volume index of expired patients was significantly higher as compared to alive patients (Table 2).Area under the curve using Receiver operating characteristic curve was found 66.7% which was statistically significant with p-value 0.007, which suggests that the cutoff value of Left atrial volume index for expired patients can be at least 38.5.61.5% patients that expired had a Left atrial volume index of more than 38.5 ml/m2, whereas 62.7% patients that were alive had a Left atrial volume index less than 38.5 ml/m2 , the p-value 0.02 suggested a significant association of Left atrial volume index with Mortality. Left atrial volume index gives positive association with mortality, for Left atrial volume index greater than 40, the odds ratio was 3.5.Mortality didn’t give any significant association with Ejection Fraction, Pulmonary artery systolic pressure and EE ratio. Conclusion : Increased Left atrial volume index is associated with higher mortality in End stage renal disease patients on maintenance hemodialysis. Increased Left atrial volume index was the best predictor of mortality among measured echocardiographic parameters in our hemodialysis population.
Multi-layer MoS2 : An Effective Barrier Enhancer and a Promising Nanofiller for Metal Protection
Authors: Wang Jing , Wang Ning , Zhao Qianyu , Ge Chengyue , Hou Baorong , Liu Guichang , Sun Wen , Hu Yiteng , Ning Yanli 
Published: September 2021

Abstract
Two-dimensional nanomaterials are of great interest because of their unique properties and the great application potential in various fields. In this study, the performance of few-layer MoS2 nanosheets (MDNSs) as new nanofillers to enhance the barrier properties of poly(vinyl butyral) (PVB) is investigated. Gas permeability tests show that well-dispersed MDNSs can prevent at least 98% of oxygen molecules and 31% of water vapour from penetrating through the matrix of MDNS/PVB composites. Electrochemical analyses reveal that the corrosion rate of brass coated with the resulting composite coating is as low as 1.35×10− 8 mm/year, which is six orders of magnitude smaller than that of brass protected by a pristine PVB coating. These results indicate that MDNSs are highly effective barrier enhancers and suitable candidate materials for metal protection.
Risk-Factor Analysis of Disc and Facet Joint Degeneration After Inter-Segmental Pedicle Screw Fixation for Lumbar Spondylolysis
Authors: Meng Hao , Gao Yuan , Lu Peng , Zhao Guang-Min , Zhang Zhi-Cheng , Sun Tian-Sheng , Li Fang 
Published: September 2021

Abstract
Background: To assess the effects of inter-segment pedicle screw fixation for the treatment of lumbar spondylolysis, and evaluate various risk factors potentially predicting the probability of disc and facet joint degeneration after instrumentation.Methods: The study included 54 male L5 spondylolysis patients who underwent pars repair and inter-segment fixation using pedicle screws. Bony union was evaluated using reconstruction images of computed tomography. Radiographic changes including the disc height, vertebral slip, facet joint and disc degeneration in the grade of adjacent and fixed segments were determined from before to final follow-up. Logistic regression analysis was performed to identify factors associated with the incidence of disc and facet joint degeneration.Results: Bony union was achieved in all cases. Logistic regression analysis revealed that duration of instrumentation of more than 15.5 months and 21.0 months were significant risk factor of the incidence of L4/5 and L5S1 facet degeneration, respectively. Conclusions: Inter-segmental pedicle screw fixation provides good surgical outcomes and good isthmic bony union rates in patients with lumbar spondylolysis. The duration of fixation was confirmed as a risk factor of facet joint degeneration. Once bony union is achieved, remove of the instruments should be recommended.
Exploring Inequity in Childhood Neurodisability in a Disadvantaged Metropolitan Region in Australia
Authors: GARG PANKAJ , Dronavalli Mithilesh , Ostojic Katarina , Jalaluddin Bin , Vivekanandarajah Sinthu , Goodwin Glenys , Raman Shanti 
Published: September 2021

Abstract
BackgroundSouth Western Sydney (SWS) region, in the state of New South Wales (NSW) in Australia is a culturally and linguistically diverse area of marked social disadvantage. Using the best available data sources, we aimed to explore the prevalence of children with developmental disability and their access to disability and special education support services, to identify equity gaps. MethodsData on the potential number of children in SWS with neurodisability was identified from the district wide Child Developmental Assessment Service (CDAS) database of public-funded Community Paediatrics services, the NSW/Australian capital territory (ACT) Cerebral Palsy (CP) register, the State-wide Infant Screening-Hearing (SWISH) Program, the Royal Institute for Deaf and Blind Children and the Department of Education. The proportion of children with access to disability services for children up-to 18 years of age was explored from the datasets of the National Disability Insurance Scheme (NDIS). Relative risks were calculated to compare any differences in proportion of supports in SWS compared to NSW. ResultsIn 2018, 503 children (median age 4.3 years) were assessed by CDAS; 65% had autism spectrum disorder (ASD) either alone or in association with global developmental delays and 24% had global developmental delay. The prevalence of CP in SWS was 1.86/1000; with a higher proportion of severe functional and intellectual impairment in SWS compared to the state. The prevalence of sensori-neural hearing loss in SWS was 2.2/1000, and more children in SWS had severe visual impairment compared to the state (P=0.003). Students in support classes with special needs were overrepresented in SWS compared to the state (P<0.0001). There were slightly more children with intellectual disability in SWS supported by the NDIS, but proportions for other conditions were comparable to NSW. Conclusions While available data sources are incomplete, we identified greater proportions of children with neurodisability, experiencing more functional impairment in SWS, compared to NSW; with ASD being the most common neurodisability presenting to developmental clinics. We also identified potential equity gaps in disability service provision. A state-wide child disability register would aid planning and research, with concerted advocacy needed to improve equity in disability support provision in this region.