bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-step Hydroforming Process And Wall Thickness Optimization of 5A02 Aluminum Alloy Five-Way Tube With Different Branch Diameter
Authors: Wei Liming , Xu Xuefeng , Fan Yubin , Zhang Ju , Yuan Congcong 
Published: November 2021

Abstract
The different branch diameter of five-way tube affects the design of loading internal pressure in the hydroforming process, where the large-diameter branch is broken more easily than the small-diameter one due to the same ultimate stress of tube material in one-step forming method. Therefore, the first four-way and then five-way of multi-step forming (FFTF) method and the first three-way and then five-way of multi-step forming (FTTF) method were proposed to fabricate the 5A02 aluminum alloy five-way tube with two kinds of branch diameters to avoid the burst of large-diameter branch tube. The finite element simulation of five-way tube hydroforming process shows that the height of small-diameter branch tube is lower and serious wrinkles appear at the large-diameter branch tube in the one-step forming and FFTF method. By optimizing the length of punch, a five-way tube with a big branch height and uniform wall thickness was obtained with the FTTF method. The approach of lengthening the punch in the experiment increased the height of formed branch and reduced the wall thickness reduction rate of five-way tube in FTTF method. Overall, the findings mentioned above can not only offer guide in creating five-way tube with excellent quality, but also be taken as reference to the hydroforming studies on multi-way tube in the future.
Guiding the design of behavioural and lifestyle modification interventions for risk reduction, prevention, and treatment of non-communicable diseases in low- and middle-income countries: An overview of relevant literature
Authors: Gebregziabher Abel Negussie , Yalew Alemayehu Worku , Kidane Eshetu Girma 
Published: November 2021

Abstract
BackgroundThe increasing burden of chronic non-communicable diseases (NCDs) in low- and middle-income countries (LMICs) calls for the development and dissemination of effective and viable interventions. In this respect, behavioural and lifestyle modification interventions (BLMIs) offer the most effective means of addressing the underlying lifestyle behaviours associated with NCDs at multiple disease prevention levels (primordial, primary, and secondary). This review aims to provide an overview of key features and components of BCIs, as well as practical considerations when implementing in LMIC settings. Methods An exploratory approach was used to provide an overview of salient issues in the design of BLMIs. A narrative review of relevant scientific literature was conducted. Based on the review's aim, the most important themes or issues were extracted. Results Thirty-four publications were included as the most relevant literature to the topic, and eight overarching themes were identified: understanding the target health behaviour; use of behavioural health theories; applying behaviour change techniques/strategies; providing effective support and follow-up; intervention delivery formats and providers; the need for cultural sensitivity; feasibility issues; and addressing multiple lifestyle behaviours.Conclusion Targeting lifestyle and behavioural modification interventions with a proper understanding of their essential design components and practical implementation considerations is crucial in reducing the rising burden of NCDs in LMICs. The importance of conducting original researches and systematic reviews on the subject was also emphasized.
Comparison of clinical characteristics, efficacy and survival of newly diagnosed extramedullary multiple myeloma patients between single and multiple sites invasion
Authors: Zhao Yongfeng , Zhou Fuling 
Published: November 2021

Abstract
PurposeWe aimed to compare the clinical characteristics, efficacy and survival of newly diagnosed extramedullary multiple myeloma patients (EMM) between single and multiple sites invasion.MethodsA total of 90 EMM patients were included. The characteristics including gender, age, Durie-Salmon stage, ISS stage, hemoglobin, blood calcium, creatinine, M-protein types, β2-microglobulin, lactate dehydrogenase and so on were analyzed. We compared the overall remission rates (ORR) in patients with single site invasion and multiple sites invasion. Progression free survival (PFS) and overall survival (OS) were also compared.ResultsPatients with multiple sites invasion had higher lactate dehydrogenase than single site invasion (179.0U/L vs. 154.7U/L, P=0.016). The ORR in patients with single site invasion (72.1%) was not significantly higher than multiple sites invasion (68.2%) (P=0.690). In patients with multiple sites invasion, PI-based regimen (78.9% vs. 33.3%, P=0.035) or PI combined with IMiD regimen (84.6% vs. 33.3%, P=0.026) could achieve superior efficacy than routine chemotherapy. Among patients with single site invasion, the COX model analysis showed that proteasome inhibitors combined with immunomodulators could significantly improve the PFS (HR=0.080, 95%CI: 0.007-0.855, P=0.037). Among patients with multiple sites invasion, the associations of RISS 3 with poor PFS (HR=4.081, 95%CI: 1.533-10.865, P=0.005) and OS (HR=13.295, 95%CI: 3.219-54.907, P=0.000) were showed.ConclusionRISS stage 3 was possibly associated with poor survival of extramedullary multiple myeloma patients with multiple sites invasion. We propose a prospective and large-sample study to explore the effects of new drugs and autologous hematopoietic stem cell transplantation on survival of patients at RISS stage 3.
Clinical efficacy and target signaling pathways of natural products in psoriasis treatment: a systematic review
Authors: Nguyen Ly Thi Huong 
Published: November 2021

Abstract
Background: Psoriasis is a common chronic inflammatory skin disorder, which has adverse effects on patients’ quality of life. Natural products exhibit significant therapeutic capacities with small side effects and might be preferable alternative treatments for patients with psoriasis. Aim of the review: This study summarizes the clinical efficacy of natural products and signaling pathways with the potential targets for psoriasis treatment. Methods: The literature for this article was acquired from PubMed and Web of Science, from Jan 2010 to Dec 2020. The keywords for searching included “psoriasis” and “natural product”, “herbal medicine”, “herbal therapy”, “medicinal plant”, “medicinal herb”, or “pharmaceutical plant”. Results: The anti-psoriatic effect of natural products in clinical studies was summarized. Herbal extracts, natural compounds, and herbal prescriptions could regulate the signaling pathways to alleviate psoriasis symptoms, such as Th17 differentiation, JAK/STAT, NF-κB, MAPK, PI3K/Akt/mTOR, and other signaling pathways, which are involved in the inflammatory response and keratinocyte hyperproliferation. Conclusion: Natural products exerted the anti-psoriatic effect by targeting multiple signaling pathways, providing evidence for the investigation of novel drugs. Further experimental research should be performed to screen and characterize the therapeutic targets of natural products for application in psoriasis treatment.
BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting: A Note
Authors: Arbel Yuval , Arbel Yifat , Kerner Eldar , Kerner Amichai 
Published: November 2021

Abstract
In their important and innovative study, Dagan et al. (2021) were the first to provide evidence on the effectiveness of BNT162b2 mRNA Covid-19 vaccine on a large scale population. The authors used a matched pair Israeli sample of 596,618 individuals belonging to the vaccinated group and 596,618 individuals with similar characteristics belonging to the unvaccinated group. Based on the information obtained in Figure 2 of Dagan et al. (2021) on cumulative events 14, 21 and 28 days after the first dose, the authors of this Note found inconsistencies between the calculated effectiveness of the dose from Figure 2, and the reported effectiveness rates in Table 2. Compared to the effectiveness rate reported by Dagan et al. (2021), and referring to the criteria of: documented SARS-CoV-2 infection, symptomatic Covid-19 and severe Covid-19, 14-20 days after the first dose, according to the CDC formula, our calculations suggest an elevated effectiveness of the vaccine ranging between 1.75%-4.67%. Referring to the criteria of Covid-19 hospitalization and death, 14-20 days after the first dose, our calculations suggest a reduced effectiveness of the vaccine ranging between minus 2.77% and minus 2%. Given the widespread public vaccination resistance, transparency and accuracy in vaccination effectiveness might prove to be especially important. As of October 31, 2021, the official accumulated Covid-19 cases are 247,376,970 and deaths worldwide are approx. 5 million persons. Consequently, the implication of a 2% gap after 21 days is 4.947 million cases and 100,000 deaths.
Evaluation Genetic Variation and Diversity of Grain Yield and Quality Traits in Rice (Oryza sativa L.) Genotypes for Low Input NPK Fertilizers
Authors: Sorour Sobhy GH. R. , Metwally Tamer F. , Badawy Shimaa A. , Saleh Maysoun M. , Salem Khaled F M , El-Abd Mohamed A. B. 
Published: November 2021

Abstract
Determination of genetic variance in a large number of rice genotypes is an effective strategy for increasing yield. The goal of this research was to determine the genetic variability, phenotypic (PCV) and genotypic (GCV) coefficients of variation, broad-sense heritability, expected genetic advance and multivariate analysis for eight rice grain quality and yield traits, in twenty Egyptian and exotic genotypes under low NPK fertilizer input levels at RRTC, Sakha, Kafr El-Sheikh, Egypt and evaluated across two successive seasons. Results revealed highly significant mean squares for all traits. High estimates of both PCV and GCV were detected for grain elongation followed by gelatinization temperature and head rice. High estimates of heritability were noted for grain length, grain shape, hulling, milling, head rice, amylose content, grain elongation and grain yield. Results revealed that highly significant differences among different genotypes were observed for studied characteristics under different NPK levels. Cluster results revealed that genotypes from the same origin or taxonomy type were clustered together. Diversity analysis showed four clusters. Cluster I and III had maximum genotypes (70%) and Cluster IV showed the highest mean values for studied traits. The results revealed that PC1 and PC2 accounted for 65.6% of the diversity between genotypes investigated. These findings show that some genotypes have a lot of diversity, indicating an opportunity to breed for low-input genotypes without sacrificing grain production and quality. GZ10590-1-3-3-2 and IET1444, both of which have high grain yield, can be employed as hybrid parents and could help with further genetic research for reduced NPK input.
Competition for FDI with vintage investment and agglomeration advantages: A revisit
Authors: Kishore Kaushal 
Published: November 2021

Abstract
We analyze the taxation regimes that may emerge in a two-period dynamic tax competition game where a country that attracts investments during the initial period has agglomeration advantages during the later period. When competing countries choose taxation regimes simultaneously, mixed taxation may arise in an equilibrium where one country adopts a non-preferential and the other adopts a preferential taxation regime. Equilibrium tax revenues of competing countries decrease with the increase in agglomeration effects. Whether a country with a non-preferential or a preferential taxation regime obtains a higher tax revenue depends critically on the extent of agglomeration effects. Moreover, whether a country with a non-preferential or a preferential regime attracts investments during the initial period and in turn will have agglomeration advantages during the later period also depends on the extent of agglomeration effects. When competing countries choose taxation regimes sequentially, a mixed taxation regime arises, and the first mover chooses a non-preferential taxation regime when the agglomeration effect is not very large. On the other hand, when the agglomeration effect is very large, a mixed taxation regime arises where the first mover chooses a preferential and the second mover chooses a non-preferential regime. We provide the complete characterization and proof of the uniqueness of the equilibrium in mixed strategies.JEL classification: F21, H21, H25, H87
Spread-F characteristics over Tucumán near the southern anomaly crest in South America during the descending phase of solar cycle 24
Authors: González Gilda de Lourdes 
Published: November 2021

Abstract
Ionospheric F-region irregularities can acutely affect navigation and communication systems. To develop predictive capabilities on their occurrence, it is key to understand their variabilities in a wide range of time scales. Previous studies at low latitudes in South America have been performed mostly in the eastern region. However, there are still few reports on the spread-F over Argentina owing to a lack of ionosonde data. This work presents the analysis of the spread-F (range spread-F and frequency spread-F) and plasma bubble occurrence characteristics near the southern crest of the Equatorial Ionization Anomaly in Argentina (Tucumán, 26.8°S, 65.2°W; magnetic latitude 15.5°S). We used ionosonde and Global Positioning System (GPS) data from November 2014 to December 2019 for different solar and geomagnetic conditions. The data show that spread-F and plasma bubble occurrence rates peak in local summer and are minimum in equinox and winter, respectively. There is a negative correlation between each type of spread-F and solar activity, whereas the opposite happens for plasma bubbles. Geomagnetic activity suppresses the generation of spread-F in equinox and summer and enhances it in winter. Plasma bubble occurrence is higher during disturbed days than during quiet days, but under medium solar activity, summer months register more plasma bubbles in quiet conditions. Range spread-F observed in winter under low solar activity is not associated with plasma bubbles originated at the magnetic equator. These results contribute to the knowledge necessary to improve the prediction of the spatial and temporal distribution of the night-time ionospheric irregularities.
A search for a stochastic archetype of quantum probability
Authors: Jenkins Tim C 
Published: November 2021

Abstract
Superposed wavefunctions in quantum mechanics lead to a squared amplitude that introduces interference into a probability density, which has long been a puzzle because interference between probability densities exists nowhere else in probability theory. In recent years, Man’ko and coauthors have successfully reconciled quantum and classic probability using a symplectic tomographic model. Nevertheless, there remains an unexplained coincidence in quantum mechanics, namely, that mathematically, the interference term in the squared amplitude of superposed wavefunctions gives the squared amplitude the form of a variance of a sum of correlated random variables, and we examine whether there could be an archetypical variable behind quantum probability that provides a mathematical foundation that observes both quantum and classic probability directly. The properties that would need to be satisfied for this to be the case are identified, and a generic hidden variable that satisfies them is found that would be present everywhere, transforming into a process-specific variable wherever a quantum process is active. Uncovering this variable confirms the possibility that it is the stochastic archetype of quantum probability.
Insights into the Viscoelastic Peculiarities of Cyanobacterial Extracellular Polymeric Substance (EPS)
Authors: Can Hatice Kaplan , Kavlak Serap , Gurbuz Fatma , Odabaşı Mehmet 
Published: November 2021

Abstract
Extracellular polymeric substances (EPSs) can be defined as renewable, high molecular weight polymeric materials produced by bacteria and microorganisms. EPSs are composed of primarily polysaccharides and proteins, with minor amounts of nucleic acids, lipids, and humic substances. Cyanobacterial extracellular polymeric subtances have a significant physiological effect on bloom formation and stress tolerance in adverse conditions. Therefore, cyanobacterial EPS has an important factor for aquatic life, environment and human life. For these reasons, determining the structure and structure-property relationships of cyanobacterial EPS is important for understanding its behavior and performance. In this study, the identification of the structure-property relationships, thermal and viscoelastic properties of cyanobacterial extracellular polymeric substance, X-ray diffraction (XRD) analysis, differential thermal analysis (DTA) and dynamic mechanical analysis (DMA) have been performed. Viscoelastic properties of the polymeric materias have been interpreted by certain DMA parameters at a fixed frequency depending on the temperature to understand the performance of cyanobacterial EPS.
Green Chemical Synthesis of N-Cholyl-L-Cysteine Encapsulated Gold Nanoclusters For Fluorometric Detection of Mercury Ions
Authors: Jayapalan Kasthuri , Arumugam Sivasamy , Nagappan Rajendiran 
Published: November 2021

Abstract
Here we report a simple, single-step, cost-effective, environmentally friendly, and biocompatible approach using sodium salt of N-cholyl-L-cysteine (NaCysC) capped gold nanoclusters (AuNCs) with green emission properties at above the CMC in aqueous medium under UV-light irradiation. The primary and secondary CMC of NaCysC was found to be 4.6 and 10.7 mM respectively using pyrene as fluorescent probe. The synthesized AuNCs exhibit strong emission maxima at 520 nm upon excitation of 375 nm with a large Stokes shift of 145 nm. The surface functionality and morphology of NCs are studied by Fourier transform infrared spectroscopy, dymanic light scattering studies and transmission electron microscopy. The formation of AuNCs was completed within 5 h and exhibit high stability for more than 6 months. The NaCysC templated AuNCs selectively quenches the Hg2+ ions with higher sensitivity in aqueous solution over the other metal ions. The fluorescence analysis of Hg2+ showed a wide linear range from 15 to 120 µM and a detection limit was found to be 15 nM.
Urine phthalate levels and liver function in US adolescents: Analyses of NHANES 2007-2016
Authors: Xiang Shiting , Dong Jie , Li Xun , Li Liping , Li Chao 
Published: November 2021

Abstract
Phthalates are non-persistent chemicals with endocrine-disrupting abilities widely used in a variety of consumer products. Evidence for the effects of phthalate exposure on liver function in adolescents is lacking. The aim of this study was to investigate the association between urine phthalate levels and changes in liver function indicators. Methods: Data were analyzed from the combined 2007-2016 National Health and Nutrition Examination Survey (NHANES). Weighted linear regressions were used to explore the association between urinary phthalate metabolites and indicators of liver function. Bayesian kernel machine regressions (BKMR) were used to evaluate the joint effects of phthalate metabolite mixtures on indicators of liver function. Results: Weighted Linear regression models showed that MCOP and MiBP were negatively associated with TBIL (all P FDR < 0.05), MCPP was positively correlated with TBIL (P FDR < 0.05), ΣDEHP, MCOP, and MEP (all P FDR < 0.05) were negatively correlated with ALB, while MCPP was positively correlated with ALB (P FDR < 0.05), and MCOP was negatively correlated with TP (P FDR < 0.05). BKMR analysis showed phthalate metabolite mixtures had significant positive dose response relationships with ALT, AST, GGT, ALP and TBIL, and significant negative dose response relationships with ALB and TP. Conclusions: Phathalate metabolites were associated with changes in liver function indicators among U.S. adolescents.
Severity and Outcome Detection for the Cancer Patients with COVID-19 Using Machine Learning Models
Authors: Davoodi Akbar , Javanmard Shaghayegh Haghjooy , Vaseghi Golnaz , Manteghinejad Amirreza 
Published: November 2021

Abstract
Background:The COVID-19 pandemic challenges the healthcare system to provide enough resources to battle the pandemic without jeopardizing routine treatments. As a result, this is important that we can predict the outcomes of patients at the time of admission. This study aims to apply different machine learning (ML) models for predicting Intensive Care Unit (ICU) admission and mortality of Cancer Patients infected with COVID-19.Methods:This study's data were collected from a referral cancer center in Iran. The study included all patients with cancer and a confirmed diagnosis of COVID-19.Different ML prediction algorithms like Logistic Regression (LR), Naïve Bayes (NB), k-Nearest Neighbours (kNN), Random Forest (RF), and Support Vector Machine (SVM) were used. Also, we applied the SelectKBest method to find the most important features for predicting ICU admission and mortality.Results:Three hundred thirty-nine patients enrolled in the study. One hundred fifteen were admitted to the Intensive Care Unit (ICU), and 118 patients died during the hospital admission. The Area Under Curve (AUC) for predicting mortality is 0.61 for LR, 0.74 for NB, 0.61 for kNN, 0.6 for SVM, and 0.79 for RF. The AUC for predicting ICU admission is 0.61 for LR, 0.74 for NB, 0.56 for kNN, 0.55 for SVM, and 0.7 for RF.C-reactive protein (CRP), Aspartate transaminase (AST), and Neutrophil-Lymphocyte Ratio (NLR) also are the most common features in predicting ICU admission and mortality.Conclusion:Our findings show the promise of different AI methods for predicting the risk of death or ICU in cancer patients infected with COVID-19, highlighting the importance of first laboratory results and patients' symptoms.
Knockdown of MALAT1 attenuates pyroptosis in diabetic cerebral ischemia via STAT1
Authors: Zhao Nan , Hua Wei , Liu Qi , Wang Yueying , Liu Zhiyi , Jin Sinan , Wang Benshuai , Pang Yuxin , Qi Jiping , Song Yuejia 
Published: November 2021

Abstract
Background
Dysregulated long non-coding RNAs participate in the development of diabetic cerebral ischemia. This study aimed to investigate the underlying mechanism of lncRNA MALAT1 in diabetic cerebral ischemia.
Methods
Middle cerebral artery occlusion (MCAO) was performed to establish diabetic cerebral I/R in vivo. TTC and neurological deficits assessment were performed to assess cerebral ischemic injury. LDH was conducted to detect cytotoxicity. RT-qPCR and western blotting assays were applied to determine mRNA and protein expression. Flow cytometry was performed to detect the pyroptosis of BV2 cells. Immunofluorescence and FISH were conducted for subcellular localization of MALAT1 and STAT1. ELISA was performed to determine cytokine release. Dual luciferase reporter, RIP, and ChIP assays were used to validate the interaction between STAT1 and MALAT1/NLRP3.
Results
Diabetes aggravated cerebral injury in vivo and in vitro. Diabetic cerebral ischemia induced inflammatory response and inflammation-induced cell pyroptosis. MALAT1 was overexpressed in diabetic cerebral ischemia models in vivo and in vitro. However, knockdown of MALAT1 suppressed inflammatory response and the pyroptosis of BV2 cells. Moreover, MALAT1 interacted with STAT1 to transcriptionally activate NLRP3. Knockdown of STAT1 significantly reversed the effects of MALAT1. Furthermore, STAT1 upregulated MALAT1 expression.
Conclusion
MALAT1 interacts with STAT1 to promote the pyroptosis of neural cells induced by diabetic cerebral ischemia through regulating NLRP3. Therefore, knockdown of MALAT1 may be a promising therapy for diabetic cerebral ischemia.