bluuebunny/crossref_metadata_2025_split huggingface dataset:
METTL3-Mediated lncSNHG7 m6A Modification in the Osteogenic Differentiation of Human Dental Stem Cells
Authors: Yang Yeqing , Zeng Junkai , Jiang Chong , Chen Jiawen , Chen Ming , Wu Buling 
Published: April 2022

Abstract
Background: Human dental pulp stem cells (hDPSCs) play an important role in endodontic regeneration, with self-renewal and pluripotency capacity. N6-methyladenosine (m6A) is the most common RNA modification, and noncoding RNAs have also been demonstrated to have regulatory roles in the expression of m6A regulatory proteins. This study aimed to explore the regulatory mechanism of methyltransferase 3 (METTL3)-mediated long noncoding RNA (lncRNA) m6A modification in the osteogenic differentiation of hDPSCs.Methods: Single base site PCR (MazF) was used to detect the m6A modification site of lncSNHG7 before and after mineralization of hDPSCs, combined with the prediction information from the StarBase database and real-time quantitative polymerase chain reaction (qRT–PCR) to screen the target m6A modification protein, and bioinformatics analysis was used to analyse the related pathways rich in lncSNHG7. After knockdown of lncSNHG7 and METTL3, osteogenic ability was detected by alkaline phosphatase (ALP) staining, Alizarin Red S (ARS) staining, qRT–PCR and Western blotting. After METTL3 knockdown, the m6A modification level and its expression of lncSNHG7 were detected by MazF, and their binding was confirmed by RNA binding protein immunoprecipitation (RIP) analysis. Finally, Western blot analysis was used to detect the effects of lncSNHG7 and METTL3 on the Wnt/β-catenin pathway.Results: MazF experiments revealed that lncSNHG7 had a m6A modification before and after mineralization of hDPSCs, and the occurrence site was 2081. The m6A-modified protein METTL3 was most significantly upregulated after mineralization of hDPSCs. Knockdown of lncSNHG7 and METTL3 inhibited the osteogenic differentiation of hDPSCs. The m6A modification and expression of lncSNHG7 were both regulated by METTL3. Subsequently, lncSNHG7 and METTL3 were found to regulate the key proteins in the Wnt/β-catenin signaling pathway, β-catenin and GSK-3β.Conclusion: These results revealed that METTL3 can activate the Wnt/β-catenin signaling pathway by regulating the m6A modification and expression of lncSNHG7 in hDPSCs to enhance the osteogenic differentiation of hDPSCs. Our study provides new insight into stem cell-based tissue engineering.
High performance transmissive color filter with hybrid Tamm plasmon-cavity modes
Authors: Chen Haohan , Zheng GG 
Published: April 2022

Abstract
A dual distributed Bragg reflector (DBR)-based structure embedded with silver (Ag) layer is proposed to demonstrate a transmissive color filter induced by the optical Tamm states (OTSs). The hybrid formation ensures optical Tamm resonance can be excited and the energy is concentrated at the DBR/Ag interface, resulting in a sharp transmittance feature with a narrow bandwidth. To optimize the device performance with desired red-green-blue (RGB) additive colors, transfer matrix method is carried out for simulations. The resonances and corresponding color appearance can be tailored dynamically through the manipulation of the Bragg wavelength and the angle of incident light. Through adjusting the structural parameters, the wavelength of transmission peak could be fixed at 455 nm, 550 nm and 620 nm, respectively. Thus, chromaticity points with a large color gamut space in the CIE coordinate can be constructed. The structure is totally planar and the fabrication process is lithography-free, which may find great potential in the application of optical thin films.
Breather and its interaction with rogue wave of the coupled modified nonlinear Schrödinger equation
Authors: Wang Ming , Xu Tao , He Guoliang , Tian Yu 
Published: April 2022

Abstract
In this paper, we investigate the coupled modified nonlinear Schödinger equation. Through the traditional Darboux transformation, we construct the first-order breather solution which can exhibit Akhmediev breather and general breather. To obtain the higher-order localized wave solution, N-fold generalized Darboux transformation is given. Under the condition that the characteristic equation admits a double-root, we present the expression of first-order interactional solution. Then we graphically analyze the dynamics of breather and rogue wave. Due to the simultaneous existence of nonlinear and derivative terms in the equation, there presents different profile in two components for the breathers.
Prognostic and clinicopathologic significance of lncRNA SNHG17 in multiple human cancers: a meta and bioinformatic analysis
Authors: Sun Ningxin , Song Yanmei , Li Danyang , Jia Weihui , Yang Ke , Wang Jiemin , Li Hongli , Yin Chonggao 
Published: April 2022

Abstract
Background:In recent years, some studies have found that long non-coding RNA Small nucleolar RNA host gene 17 (lncRNA SNHG17) is abnormally expressed in a variety of cancers. However, the prognostic and clinical value of lncRNA SNHG17 expression in cancer is still unclear. This meta-analysis aims to comprehensively elaborate the prognostic value of SNHG17 in cancer.Methods:PubMed, Web of Science, Embase and Cochrane Library were absolutely searched. Hazards ratios (HRs) or odd ratios (ORs) with 95% confidence intervals (CIs) were pooled to estimate the prognostic value of SNHG17 in cancers, including overall survival (OS), progression-free survival (PFS), disease-free survival (DFS), recurrence-free survival (RFS), age, gender, tumor size, differentiation, metastasis, clinical stage, and lymph node metastasis (LNM). In addition, we further searched for the expression and prognosis of SNHG17 in various cancer through TCGA dataset.Results:13 studies containing 1492 cancer patients was finally Selected into this study. The results showed that patients with high SNHG17 expression tended to have shorter OS (HR = 1.78, 95%CI = 1.50-2.10, P < 0.01), DFS (HR = 1.36, 95%CI = 1.06-1.74, P < 0.05), RFS (R = 2.49,95%CI = 1.13-5.49, P < 0.01), and PFS (R = 2.02, 95%CI = 1.24–3.28, P < 0.05). Additionally, increased lncRNA SNHG17 expression was significantly related to worse differentiation (HR = 1.41, 95%CI = 0.82-2.45, P < 0.01), advanced clinical stage (HR = 3.25, 95%CI = 1.77-5.97, P < 0.01), earlier metastasis (HR = 2.33, 95%CI = 1.30-4.19, P < 0.01) and earlier lymph node metastasis (HR = 2.94, 95%CI = 2.15-4.02, P < 0.01). No publication bias was found in all studies and the results were robust. The TCGA dataset further validated that SNHG17 is highly expressed in a variety of cancers and is strongly correlated with OS and DFS.Conclusion:The high expression of lncRNA SNHG17 may predict poor prognosis and advanced clinical stage, which means that SNHG17 may be a possible prognostic biomarker of cancer.
An Analytical Formulation to Extract the Capacity Curve of Steel Structures
Authors: Shamivand Abbas , Akbari Jalal , Allahyari Parastoo 
Published: April 2022

Abstract
Among the methods for evaluating the nonlinear performance of structures, pushover analysis is an appropriate alternative instead of direct time history analysis. To accurately extract the capacity curve of a structure, according to the loading regulations/protocols such as FEMA-356 and ATC-40, lateral loads are incrementally applied to the structure in laboratory tests until the structural's failure occurs. Because of the cost and time-consuming nature of experimental tests, proposing mathematical/analytical methods could be the appropriate tools to predict the capacity curves of structures. The present study proposes a new method to find the capacity curves of cantilever steel beams based on mathematical formulations, structural analysis, and material properties. The reason to select a simple beam for this study is to discover all aspects of the system's nonlinear behavior. The strains, stresses, and other responses corresponding to large geometrical deformations have been extracted in two cases with and without strain hardening by considering changes in the behavior of materials. The proposed method has been verified using the finite element method with Abaqus software. The results indicate that the proposed model has acceptable accuracy and could be applied in the pushover analysis of steel structures.
Evaluating the Nexus Between Crude Oil Price, Natural Gas Price and Electricity Tariff: Evidence From Nigeria
Authors: OJO Ademola , Amassoma Ditimi , Adelakun Johnson 
Published: April 2022

Abstract
Background
The responsibility for transformation of Nigeria’s socioeconomic milieus is on the heels of required performance of her energy resources particularly the trio of crude oil, natural gas and electricity. However, the question is whether there is relationship between the market prices of these energy resources and whether the energy resources prices could have significant negative and or positive effects on each other thereby stimulating a new possible equilibrium.
Methods
It is therefore set out to achieve this objectives by adopting time series data of the trio resources between 1980 and 2021, analyzed using Bound test approach of Autoregressive Distributed Lag (ARDL), Vector Autoregressive (VAR) model and pairwise causality test to determine the variables’ cointegration, relationship and causal effects.
Results
The study found that the trio of crude oil price, natural gas price and electricity tariff as energy resources are cointegrated with long run relationship but with no significant causal effect amongst them.
Conclusion
The study concluded there is existence of relationship but disproportional effects between the trio of Natural Gas Price (NGP), Electricity Tariff (EET) and Crude oil Price (COBP) in Nigeria’s energy market. The study advocates government intervention in the energy market to reduce associated factors that attracts impact of increase energy resources prices on the citizens’ welfare outcomes.
Omics approach to reveal the effects of obesity on the protein profiles of the exosomes derived from different adipose depots
Authors: Chen Minting , Zhang Fan , Chen Baisen , Lau Condon , Huo Chuying , Han Quanbin , Su Tao , Kwan Hiu Yee 
Published: April 2022

Abstract
Background: Obesity affects the cargo packaging of the adipocyte-derived exosomes. Furthermore, adipocytes in different adipose tissues have different genetic makeup, the cargo contents of the exosomes derived from different adipose tissues under obesity should be different, and hence their impacts on the pathophysiological conditions. Methods and Results: iTRAQ-based quantitative proteomics show that obesity has more prominent effects on the protein profiles of the exosomes derived from subcutaneous adipose tissue (SAT-Exos) in the diet-induced obesity (DIO) mice than those derived from epididymal adipose tissue (EAT-Exos) and visceral adipose tissue (VAT-Exos). The differential expressed proteins (DEPs) in SAT-Exos and VAT-Exos are mainly involved in metabolism. Subsequent untargeted metabolomic and lipidomics analysis reveal that injection of these SAT-Exos into the B6/J-Rab27a-Cas9-KO mice significantly affects the mouse metabolism such as fatty acid metabolism. Some of the DEPs in SAT-Exos are correlated with fatty acid metabolism including ADP-ribosylation factor and mitogen-activated protein kinase kinase kinase-3. Pathway analysis also shows that SAT-Exos affect adipocyte lipolysis and glycerophospholipid metabolism, which is in parallel with the enhanced plasma levels of fatty acids, diglycerides, monoglycerides and the changes in glycerophospholipid levels in DIO mice. Conclusion: Our data provide evidence to suggest SAT-Exos contribute to the changes in plasma lipid profiles under obesity conditions.
The impact of COVID-19 pandemic-related quarantine on female sexual behavior：A cross-sectional study in Chinese
Authors: Li Guangyong , Yu Puguang , Zhang Fen , Xu Yanlong , Zhou Gaiyan , Zhan Xuekang , Gao Yu , Liu Hetao , Du Xaoli , He Rui 
Published: April 2022

Abstract
Aim: To investigate the impact and factors of home quarantine life on women's sexual life and behavior in different areas of China, and analyze the prevalence of female sexual dysfunction (FSD) during the COVID-19 epidemic.
Methods: We selected adult women (over 18 years old) who have regular sexual life (including regular masturbation) and had been isolated at home for at least one month during the COVID-19 outbreak. We use online questionnaires to survey respondents, the content of this questionnaire includes three parts: general demographic information, the impact of the epidemic on sexual life, and the Female Sexual Dysfunction Scale.
Results: After screening, a total of 678 complete questionnaires were recovered in this study. The results showed that during the epidemic, the overall score of female sexual dysfunction (FSFI) was 21.98±6.38, the incidence of FSD was 61.9%, the incidence of FSD in Shanghai, Nanjing, and Ningxia were 60.6%, 75.2%, and 52.2%, respectively. The differences in the incidence of FSFI score and other specific items (Desire, Arousal, Lubrication, Orgasm, Satisfaction, and Pain) are in the three regions were statistically significant (P<0.05). In a separate analysis of women who used masturbation for sex, we found that the incidence of FSD was 34.4%, which was lower than paired sexual intercourse 60.1%.(p<0.05). Further analysis we found that the occurrence of FSD during the epidemic was related to different age stages, menopause, mode of delivery, degree of anxiety and depression, and different sexual lifestyles.
Conclusion: The COVID-19 epidemic has had a great impact on people's spiritual life and sexual life. This impact has a negative impact on mental health, but for sex life it has both negative and positive effects, which is mainly caused by it is determined by the characteristics of this life mode of home isolation. In addition, we comparatively analyzed the sexual health status and influencing factors of sexual intercourse and masturbation groups during the epidemic, which helps us to care about the sexual health of masturbation population. Finally, we also found that sex knowledge and education are lacking in many women, which may be the root cause of sex unhealthy. And we should pay attention to the importance of sexual health in epidemic, and having a harmonious and stable sex life will help us get through the boring life of isolation.
Revealing Urban Activity Patterns Around Metro Stations through Social Media Network Data
Authors: Mohammadbagherzadeh Sanaz , Terzi Fatih 
Published: April 2022

Abstract
Stations on the metro system are important transportation hubs that handle a large number of the daily trip. Through the metro stations that facilitate pedestrian mobility and serve as a magnet for businesses, public transportation systems have the potential to alter the character of a community depending on the circumstances. Using location-based social network (LBSN) data, this study aims to quantify the area surrounding metro stations and metro lines, as well as to conduct a cluster analysis of Istanbul metro stations based on the pattern of LBSN data to gain insights into the characteristics of each station's surrounding area. To this end, the Foursquare venue data were gathered using the Foursquare API database. Then the data was cleaned and categorized based on the main activity and mapped in ArcGIS pro. K means cluster analysis was performed based on different venue activities around each station. Based on various venue activities, 77 Metro stations are classified into three types, namely undeveloped stations, developed stations, and touristic stations. The majority of stations were placed in undeveloped groups with a low activity level. The developed stations are mainly located in the commercial and touristic areas.
The use of Uio-66 Metal-Organic Frameworks as a high-performance catalyst for the isomerization process of endo- to exo-dicyclopentadiene in a solvent-free condition
Authors: Maghsoodi Narjes Khaton , Keshavarz Mohammad Hossein 
Published: April 2022

Abstract
Exo-tetrahydrodicyclopentadiene (tricyclo[5.2.1.02,6]decane) or JP-10 is a synthetic jet fuel, which can be used as a high-density fuel in the air-breathing missile engineers and supersonic combustion ramjets. It can be produced from the fully saturated version of exo-dicyclopentadiene (exo-DCPD). This work introduces a new green method for isomerization of endo-dicyclopentadiene (endo-DCPD) to exo- form in the presence of Metal-Organic Frameworks (MOFs). The synthesized UiO-66 and UiO-66-vac as two suitable MOF catalysts are used for the isomerization process in a solvent-free condition. The design of the experiment is used to optimize reaction conditions including time, temperature and catalyst loading. High yield and excellent conversion of endo- to exo-DCPD are obtained by reacting with UiO-66-vac at lower levels of time and temperature. Solvent-free, environmentally friendly, simple reaction process, reusable catalyst, and availability of materials are advantages of this process.
Committee integration of optimized models for prediction of compressive strength of masonry structures
Authors: Gholami Mahsa , Gholami Amin 
Published: April 2022

Abstract
An accurate computation of the compressive strength of masonry structures (CSMS) is an overarching factor in design and construction of masonry structures (MS). This considerable significance compels researchers to propose an appropriate, reliable and, more generalized method whereby the precise value of CSMS is calculated. In the current study, a committee machine (CM) with optimized elements is constructed, thereby extracting a non-linear relationship between CSMS with compressive strength (CS) of mortar and brick. In order to accomplish this objective, three intelligent models viz. neural network (NN), fuzzy inference system (FIS), and support vector regression (SVR) are firstly optimized with bat-inspired algorithm (BA), and these improved models are subsequently applied for estimation of CSMS. BA is hybridized with intelligent models for extracting the best values of weights and biases of NN, membership’s functions of FIS, and user-defined parameters of SVR. Then, CM is utilized for amalgamating the outputs of three optimized models (OMs) incl. optimized neural network (ONN), optimized fuzzy inference system (OFIS), and optimized support vector regression (OSVR). BA is also embedded in the structure of CM, thereby determining the optimal contribution of each optimized model in the final prediction. Data sets including 96 records accessible in the literature are used to learn and evaluate the constructed models. Appraisal of the accuracy based on statistical parameters verified that the CM could effectively improve the prediction accuracy of the OMs and also has a better performance compared to commonly well-known predictive correlations. This study also proved that CM with optimized elements is a very convenient approach for mapping nonlinear functions between CSMS and CS of brick and mortar.
Nervous System Involvement in Patients Hospitalized at the COVID-19 Isolation Hospital in Alexandria University, Egypt: Clinical Findings
Authors: Abdelaziz Osama S. , Waffa Zuraiha , Abdelsalam Wael N. , Helmy Tamer A. , Nosseir Ayman A. 
Published: April 2022

Abstract
Background
Global studies have exemplified that COVID-19 has neurological manifestations. This study gives an insight to the impact of COVID-19 on the nervous system in Alexandria, Egypt and identifies predictors of severity and mortality.
Methods
This single centre, retrospective, observational study was conducted from August 1st, 2020 to January 31st, 2021, on patients admitted at the COVID-19 Isolation Hospital in Alexandria University, Egypt. A Neuro-COVID patient was defined as confirmed COVID-19 case presenting with one or more new onset nervous system finding.
Results
Out of 1073 in-patients, 352 were Neuro-COVID patients (183 [52%] females and 169 [48%] males). The mean age was 36.64 ± 18.97 years and 161 (45.7%) had comorbidities. Most common involvement was neuromusculoskeletal system (240 [68.2%]), followed by central nervous system (164 [46.6%]) and peripheral nervous system (125 [35.5%]), whereas, psychiatric disorders (4 [1.1%]) were the least common. Myalgia (215 [61.1%]); anosmia (118 [33.5%]); headache (100 [28.4%]); ageusia (80 [22.7%]); altered level of consciousness (56 [15.9%]); arthralgia (43 [12.2%]) and dizziness (12 [3.4%]) were predominant presentations. Female Neuro-COVID patients were twice as more likely to be critical than moderate (P =0.030). Critical cases with nervous system presentations manifested 12 times higher risk of death when compared to severe cases (P <0.001).
Conclusions
Nervous system involvement was predominant and clinically significant in COVID-19. Disease severity was identified as an independent predictor of mortality in Neuro-COVID patients.
Phosphatidylcholines (PCs) serve as biomarkers for prognosis of esophageal squamous cell carcinoma (ESCC) and compromise antitumor efficacy of focal adhesion kinase (FAK) inhibitor
Authors: Zhan Qimin , Chen Jie , Zhang Lingyuan , Zhao Di , Zhang Jing , Xiao Yuanfan , Wu Qingnan , Wang Yan 
Published: April 2022

Abstract
Abnormal metabolism is recognized as an oncogenic hallmark that is correlated with tumor progression and therapeutic resistance. Here, we used multi-omics, including phosphoproteomics, untargeted metabolomics and lipidomics to demonstrate that the cancer-associated fibroblasts (CAFs)-derived AKT2/choline-phosphate cytidylytransferase α (CCTα)/phosphatidylcholines (PCs) axis mediated the resistance of focal adhesion kinase (FAK) inhibitor-defactinib in esophageal squamous cell carcinoma (ESCC) treatment. We first identified extremely low levels of FAK Tyr397 expression in CAFs, which might possibly provide no available target for defactinib exerting its anti-growth effect in CAFs. Consequently, defactinib upregulated the intracellular concentration of Ca2+ in CAFs, and facilitated the formation of AKT2/CCTα protein complex to phosphorylate CCTα Ser315/319/323 sites, and finally enhanced the production of stromal PCs, which activated intratumoral Janus kinase 2 (JAK2)/Signal transducer and activator of transcription 3 (STAT3) pathway to induce resistance of FAK inhibition. Analysis of clinical samples showed that stromal pAKT2 Ser128 and pCCTα Ser315/319/323 were associated with the tumor malignancy and reduced patient survival. Pseuo-targeted lipidomics and further validation cohort quantitatively demonstrated that plasma PCs allow to distinguish the malignant extent of ESCC patients. Overall, inhibition of stroma-derived PCs and related pathway might be used as potential therapeutic strategies for tumor treatment.
A Proposed Model for Card Fraud Detection Based on CatBoost and Deep Neural Network
Authors: Nguyen Nghia , Duong Truc , Chau Tram , Nguyen Van-Ho , Trinh Trang , Tran Duy , Ho Thanh 
Published: April 2022

Abstract
Rapid development of technology has digitized customers' payment behavior towards a cashless society. To some extent, this has created a feast for miscreants committing fraud. According to Nilson’s Report (2020), the global fraud loss is projected to reach over $35 billion in 2025. Thus, the need for a novel method to prevent this menace is undisputed. Studies in fraud detection in cards abound with various machine learning-based techniques. However, many of them were conducted on modest-sized sample with a few familiar features and mainly focused on transaction-based approach to detect fraud. These models fail to satisfy low false alarm rates when being fed with large-scale data streams. In this paper, an innovative model was proposed to improve classification accuracy based on the idea of user separation, in which we divided users into old and new people before applying CatBoost and Deep Neural Network on each category, respectively. The experimental result shows that our model achieved better as we obtained AUC score of 0.97 (CatBoost) and 0.84 (Deep Neural Network).