bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influences of Expanding Angles on Extrusion-Shearing-Expansion Processing of AZ31 Magnesium Alloy Thin-Walled Tubes
Authors: TIAN Ye , HU Hong jun , LIANG Pengcheng , ZHANG Dingfei , OU Zhongwen 
Published: July 2021

Abstract
To research the influence mechanisms of expanding angles on extrusion-shearing-expansion(ESE) process of AZ31 magnesium alloy thin-walled tubes,the effects of different expanding angles on microstructures and mechanical properties of AZ31 magnesium alloy during extrusion-shear-expansion process have been investigated by optical microscope(OM),scanning electron microscope (SEM),X-ray diffractometer(XRD).Three expanding angles 130°,140°,150° have been used.The forming loads varying with expanding ratios,and equivalent strains at various expanding angles have been simulated by Deform-3D software.The research results show that the qualities and mechanical properties of the formed tube are satisfactory, and extrusion-shearing-expanding process can refine the grain of AZ31 magnesium alloy thin-walled tubes.The grain sizes decrease with the decrease of expanding angles.When the expanding angle is 140°,the comprehensive mechanical properties are best,and yield strength is 122.3MPa,the tensile strength 288.6MPa,the elongation 15.2%, the texture intense is optimized due to the DRX.The deflections of basal plane for most grains are obvious relative to the extrusion direction(ED).
Concerning an Algorithmic Approach to Euclidian Geometry and Everettian Quantum Theory
Authors: Greenfield Peter 
Published: July 2021

Abstract
We introduce an algorithmic approach to Euclidian geometry6 which provides an experimental framework involving Euclidean constructions and deconstructions thus enabling a foundation2,12 for testing Everett’s interpretation of quantum theory4,5. We contend that the cosmos be modelled as the advance in space time until some event occurs leading to the termination of some phenomenon, in the sense of the algorithmic halting problem14. Our approach involves iterative geometrical constructions using Euclid’s proposition 3 which are equivalent to a Turing machine. Our conjecture is that the postulates of Euclidean geometry, for which we require particular extensions to postulates 2 and 310, are physical principles, and also that our algorithmic approach is identical to quantum theory4,5. We suggest that our conjecture concerning quantum theory and the second law of thermodynamics is that they are mutually dependent, this too being a principle. We suggest a unifying theory for gravitation and sub atomic particles2,7,11,12. We propose a new experiment: the investigation of anomalies in astronomical observations with as example the phenomenon of black holes disappearing when galaxies collide with or without gravitational wave emission8.
Dapagliflozin Restores Diabetes-Associated Decline in Vasculogenic Capacity of Endothelial Progenitor Cells via Activating AMPK-Mediated Inhibition of Inflammation and Oxidative Stress
Authors: Luo Lifang , Dong Bing , Zhang Jianning , Qiu Yumin , Liu Xiaolin , Zhou Zhe , He Jiang , Zhang Xiaoyu , Chen Long , Xia wenhao 
Published: July 2021

Abstract
Background: Sodium-glucose cotransporter 2 inhibitors (SGLT2i) provides added vascular protection beyond glucose lowering to patients with type 2 diabetes mellitus (T2DM). Endothelial progenitor cells (EPCs) are an important endogenous repair mechanism for diabetic vascular complications. Yet, whether SGLT2i protect vascular in diabetic patients by improving the function of EPCs remain to be elucidated. Methods: Sixty-three T2DM patients and 60 healthy participants were enrolled, and 15 of T2DM group taken dapagliflozin for 3 months. Retinal capillary density (RCD) and vasculogenic capacity of EPCs in vitro and in vivo were assessed among different groups. Genes related to inflammation/oxidative stress, and the AMPK signaling of EPCs in T2DM were determined before and after dapagliflozin treatment. Results: T2DM demonstrated a declined RCD and impaired vasculogenic capacity of EPCs. There is a linear correlation between RCD and the number of circulating EPCs. The expression of inflammation correlative genes was increased; however, anti-oxidative stress related genes expression was decreased in EPCs form T2DM, which were accompanied with reduced phosphorylation level of AMPK. Dapagliflozin treatment activated AMPK signaling, decreased the level of inflammation and oxidative stress, and rescued vasculogenic capacity of EPCs from T2DM. Furthermore, AMPK inhibitor pretreatment diminished the enhancement vasculogenic capacity of diabetic EPCs from dapagliflozin treatment.Conclusions: This study demonstrates for the first time that dapagliflozin restores vasculogenic capacity of EPCs via activating AMPK-mediated inhibition of inflammation and oxidative stress in T2DM.
Progression Free -survival According to Simpson Grade Resection and Histological Types of Meningiomas in the Mexican Population Progression Free-survival of Meningiomas in the Mexican Population
Authors: Hernández José Omar Santellán , Moreno Daniel Alejandro Vega , Domínguez Héctor Eduardo Velázquez , Nava Alexis Oziel Martínez , Valdés Julio Cesar López , Mora José Raúl Guerra , Torre Abraham Ibarra de la , Rodríguez Víctor Andrés Reyes , Santana Héctor Velázquez , González Ulises García 
Published: July 2021

Abstract
Introduction: Meningiomas are the most common primary central nervous system (CNS) tumors, with an incidence of 8.14 per 100,000 habitants. They represent 30% of all adult primary brain tumor diagnoses in the United States in contrast to Latin America with 50%. In Mexico, there are no epidemiological trends of meningiomas or other CNS tumors. Simpson resection grade and WHO grade are the prognostic factors with the greatest effect. In this paper, we describe the correlation between the survival free of disease and the gross total resection with its histological type according to Simpson’s grading scale. Materials and methods: A descriptive, analytical, retrospective, case-control study was conducted in two public third -level hospitals and three second- level hospitals in two cities of Mexico, (Mexico City and Guadalajara, Jalisco in a period of 10 years (2010-2020). An analysis of measures of central tendency was performed for age, sex, location, histological type, and postsurgical Simpson grade.Results: 26 patients of 179 had recurrence. Among the total recurrences, 15.4% were Simpson 1, 69.2%Simpson 2, and 15.4%Simpson 3. The survival for Simpson 1 was 142.0 months, Simpson 2 90.32 months, and Simpson 3 69.13 months. According to the histological type, the meningiomas with the lowest survival were the microcystic ones with 60 months, followed by the atypical ones with 90.4 months, and the psammomatous ones with 99.8 months. Conclusion: Surgical resection and the histological type are factors that affect progression free -survival. The Mexican population presents characteristics similar to those described in world literature.Importance of the study: This is the first study of its kind in the Mexican population and lays the foundations for future studies in the Latin American population.
An MQTT Brokers Distribution Based on Mist Computing for Real-Time IoT Communications
Authors: Hmissi Fatma , Ouni Sofiane 
Published: July 2021

Abstract
As we consider the number of IoT time-sensitive applications , the transfer of data to a remote data center and server such as Cloud, Fog, and Edge becomes inefficient since the deadline constraint is not satisfied. Thus, ensuring that the IoT time-sensitive applications meet their timing constraints is a challenge. Mist Computing is closer to IoT devices, presenting the lowest communication delay but less computational resource than the Cloud, Fog, and Edge. Seeing several IoT devices use MQTT protocol to access the data due to its lightness and flexibility, we propose an architecture for IoT time-sensitive applications based on MQTT protocol and integrating Mist Computing. We focus on distributing the MQTT brokers over Mist nodes to satisfy the deadline constraints with the consideration of the limited resource of Mist nodes. Hence, we propose an approach for the selection of the appropriate MQTT Mist broker. We have also proposed MQTT communication model that provides the M/M/1 based analysis for delay computing and energy conception. The experiment results show that our proposal is very effective for time-sensitive applications and also maximize the lifetime of IoT systems since it minimizes the cumulative energy of the system. Compared to MQTT Edge broker distribution, our solution provides the lesser delay of communication between IoT devices.
Associations Between a rat 5-HT1A Receptor Gene Promoter Region Polymorphism (rs198585630) and Cognitive Alterations Induced by Microwave Exposure
Authors: Li Haijuan , Gao Yu , Zou Yong , Qiao Simo , Zhi Weijia , Xu Xinping , Zhou Hongmei , Ma Lizhen , Wang Lifeng , Hu Xiangjun 
Published: July 2021

Abstract
The nervous system is a sensitive target of electromagnetic radiation. Chronic microwave exposure could induce cognitive deficit and 5-HT system was involved in it. Genetic polymorphisms lead to individual differences. In this study, we evaluated whether the single nucleotide polymorphism rs198585630 of 5-HT1A receptor were associated with cognitive alterations of rats after microwave exposure. The transcriptional activity of 5-HT1A receptor promoter including rs198585630 -C/T allele was detected in vitro study. Electroencephalogram, spatial learning and memory functions, the expressions of 5-HT1A receptor mRNA and protein were evaluated in vivo study. We demonstrated that the transcriptional activity of 5-HT1A receptor promoter including rs198585630-C allele was higher than that of T allele. The transcriptional activity of 5-HT1A receptor promoter was stimulated by 30 mW/cm2 microwave exposure, and the rs198585630-C allele was more sensitive to microwave exposure with a stronger transcriptional activation. Rats carrying rs198585630-C allele presented more expressions of 5-HT1A receptor mRNA and protein, and more susceptible to 30 mW/cm2 microwave exposure which showed cognitive deficits and brain electrical activity inhibition.
Preoperative Score to Stratify Recurrence Risk After Curative Resection of Resectable Pancreatic Ductal Adenocarcinoma: A Retrospective Cohort Study
Authors: Jiang Yu , Zou SIYI , Wang Weishen , Chen Haoda , Zhan Qian , Deng Xiaxing , Shen Baiyong 
Published: July 2021

Abstract
Background: Oncological survival after operation of resectable pancreatic ductal adenocarcinoma (R-PDAC) is variable depending on various factors. Preoperative risk stratification could guide decision-making in multidisciplinary treatment concepts. We develop and validate a prognostic score for disease-free survival (DFS) in R-PDAC to solve this issue.Methods: 421 R-PDAC patients between January 2012 and December 2015 were enrolled. Performance of the final model was evaluated with respect to discrimination, calibration and clinical usefulness. A prognostic score based on the final model was developed, and external validated in 290 patients.Results: On multivariable analysis, age, tumor size, carbohydrate antigen (CA)19-9, CA125, lymphocyte-monocyte ratio, and systemic-immune-inflammation index were independently associated with DFS. Final model had acceptable calibration, discrimination and internal validity. The prognostic score could delineate low- and high-risk groups with median DFS of 19.6 and 10.1 months (P<0.0001). Tumors in high-risk group exhibited more aggressive pathobiological behaviors. Additionally, at 1-year follow-up, the restricted mean survival time was longer with adjuvant chemotherapy than those without in low-risk patients. However, no significant difference was detected in high-risk patients.Discussion: The prognostic score could accurately predict DFS preoperatively in R-PDAC patients and provide reference for risk-adapted strategies formulation for R-PDAC management in the future.
Knee joint angle estimation by sequential correction of gyroscope bias
Authors: SAITO AYUKO , TANZAWA YUTAKA , KIZAWA SATORU 
Published: July 2021

Abstract
Compact and lightweight nine-axis motion sensors have come to be used for motion analysis in a variety of fields such as medical care, welfare, and sports. Nine-axis motion sensors include a three-axis gyroscope, a three-axis accelerometer, and a three-axis magnetometer and can estimate joint angles using the gyroscope outputs. However, the bias of the gyroscope is often unstable depending on the measurement environment and the accuracy of the gyroscope itself, causing error to accumulate in the angle obtained by integrating the gyroscope output. Although several sensor fusions have been proposed for pose estimation, such as using an accelerometer and a magnetometer, sequentially estimating and correcting the bias of the gyroscope are desirable for more accurate pose estimation. In addition, considering accelerations other than the acceleration due to gravity is important for a sensor fusion method that utilizes the accelerometer to correct the gyroscope output. Therefore, in this study, an extended Kalman filter algorithm was developed to sequentially correct both the gyroscope bias and the centrifugal and tangential acceleration of an accelerometer. The gait measurement results indicate that the proposed method successfully suppresses drift in the estimated knee joint angle over the entire measurement time of knee angle measurement during gait. The knee joint angles estimated using the proposed method were generally consistent with results obtained from an optical 3D motion analysis system. The proposed method is expected to be useful for estimating motion in medical care and welfare applications.
A triple-negative breast cancer surrogate subtype classification that correlates with gene expression subtypes
Authors: Yoo Tae-Kyung , Kang Jun , Lee Awon , Chae Byung Joo 
Published: July 2021

Abstract
Background
Triple-negative breast cancer (TNBC) is a heterogeneous tumor lacking specific therapeutic targets. Several TNBC classifications have been identified using gene expression profiles, but they are difficult to use in clinical practice. In this study, we have developed a TNBC surrogate subtype classification that represents TNBC subtypes based on the Vanderbilt subtype classification.
Methods
This study included patients who underwent primary curative breast cancer surgery for TNBC between January 2009 and October 2017 at Seoul St. Mary’s Hospital. Representative formalin-fixed paraffin embedded blocks were used for gene expression analysis and tissue microarray construction for immunohistochemical (IHC) staining. The Vanderbilt subtypes were re-classified into 4 groups: basal-like (BL), mesenchymal-like (M), immunomodulatory (IM) and luminal androgen receptor (LAR) subtype. After IHC staining, classification and regression tree (CART) modeling was applied to develop a surrogate subtype classification.
Results
A total of 145 patients were included in this study. The study cohort was allocated to the Vanderbilt 4 subtypes as LAR (n = 22, 15.2%), IM (n = 32, 22.1%), M (n = 38, 26.2%), BL (n = 25, 17.2%) and unclassified (n = 28, 19.3%). After excluding nine (6.2%) patients due to poor IHC staining quality, CART modeling was performed. TNBC surrogate subtypes were defined as follows: LAR subtype, androgen receptor Allred score 8; IM subtype, LAR-negative with a tumor-infiltrating lymphocyte (TIL) score > 70%; M subtype, LAR-negative with a TIL score < 20%; BL subtype, LAR-negative with a TIL score 20–70% and diffuse, strong p16 staining. The study cohort was classified by the surrogate subtypes as LAR (n = 26, 17.9%), IM (n = 21, 14.5%), M (n = 44, 30.3%), BL1 (n = 27, 18.6%) and unclassified (n = 18, 12.4%). The performance of the surrogate subtypes to predict TNBC Vanderbilt 4 subtypes was good with an accuracy of 0.708. Each subtype exhibited distinct clinicopathologic features, and the M subtype showed a significantly worse survival rate than the other subtypes.
Conclusions
In this study, we have developed a TNBC surrogate subtype classification that correlates with the Vanderbilt subtype adopting AR, TIL and p16. The surrogate subtype classification is a practical and accessible diagnostic test, that can be easily applied in clinical practice.
Relationship between large amounts of Cryptomeria japonica D. Don pollen dispersion and cold front passage
Authors: Takahashi Yuichi , Kawashima Shigeto , Suzuki Yusuke , Kakehata Seiji 
Published: July 2021

Abstract
Recently, with the proliferation of automatic Cryptomeria japonica pollen monitors, it has become possible to obtain data measured simultaneously from multiple locations. The KH-3000 monitor used by the Pollen Observation System of the Japanese Ministry of the Environment, “Hanako-san”, and the “Pollen Robo” monitor created by Weathernews Inc. were installed in various places in the Tohoku region for collection of simultaneous pollen count data, and the results indicated that the period of the day when large amounts of C. japonica pollen were dispersed may be related to the passage of a cold front extending from a low pressure system. When the types of pollen dispersed on that day were examined under a microscope, most of them were C. japonica pollen. Therefore, we investigated the relationship between the periods of these two events, with transit time of the cold front determined from the point when the wind direction changed from eastward to westward. The area with a high concentration of C. japonica pollen moved from the Sea of Japan side to the Pacific Ocean side in conjunction with the movement of the front. In 40% of the cases, the highest dispersion of C. japonica pollen occurred at the same time as the front passed, and 90% of the cases were within two hours before or after the passage. The number of dispersions was high in the northern part of the Tohoku region close to the low pressure system at the end of the front and low in the southernmost part of the Tohoku region away from this system.
EZH2 Alleviates Antituberculosis Drug-Induced Liver Injury in Mice by Reducing H3K27 Trimethylation at the Nrf2 Promoter
Authors: shengfei pei , yang luming , wang lin , gao xuelei , guo yu , li yue , tang qinyan , jia yunpeng , feng fumin 
Published: July 2021

Abstract
BackgroundAnti-tuberculosis drug-induced liver injury (ADLI) limits the treatment of tuberculosis. The mechanisms underlying ADLI are unclear and there are no effective preventative measures to avoid this complication. MethodsIn this stuy, the protein contents of EZH2, Nrf2, NQO1 and HO-1 were detected by ELISA kit, while those of EZH2 and Nrf2 were determined by Western blot. The Chip experiment was used to detect the level of H3K27me3 in the Nrf2 promoter region.The liver were analyzed histopathologically in vivo using hematoxylin and eosin staining.ResultsHere we developed a murine model of ADLI that recapitulates liver injury in the human disease. Using this model, we investigated the potential involvement of the enhancer of zeste homolog 2 methyltransferase (EZH2), a histone methyltransferase which inhibits the transcriptional activation of the Nrf2-ARE oxidative stress pathway. Compared to controls, mice livers with ADLI showed decreased expression of EZH2 together with reduced H3K27me3 marks in the Nrf2 promoter. This was accompanied by increased expression of Nrf2 and its target genes NQO1 and HO-1. Liver injury in the mice with ADLI could be alleviated to an extent by in vivo delivery of siRNAs targeting EZH2, which further downregulated EZH2 expression and H3K27me3 levels in the Nrf2 promoter along with accompanying increases in Nrf2, NQO1 and HO-1 expression. ConclusionsTherefore, inhibiting EZH2 likely reduced liver damage in ADLI by enhancing this key anti-oxidative stress pathway. Our results establish a role for EZH2 in a mouse model of ADLI and furthermore provides valuable mechanistic insights into the development of ADLI pathology.
Computational Approach for Covalent Lead Identification against Spike Glycoprotein of SARS-CoV-2
Authors: Upadhyay Sonal , Dwivedi Harshit , Kumar Anuj , Dubey Pawan K. , Tripathi Anima , Ali Akhtar , Bhushan Ravi 
Published: July 2021

Abstract
Background: A global outbreak of coronavirus disease 19 (COVID-19) led researchers to investigate various active compounds that can inhibit the replication of SARS-CoV2 (severe acute respiratory syndrome coronavirus 2). The present work targets to evaluate small covalent synthetic molecules through a virtual screening and docking approach that can efficiently inhibit Spike Glycoprotein of SARS CoV2.Methods: We retrieved around 50,000 small covalent synthetic molecules through the American chemical society (CAS) database. The initial evaluation of these synthetic molecules depends on the ADMET screening. A Lipinski's Rule of Five (RO5) was also applied to find whether the drug met the criteria of good bioavailability. Then, the further selection was made through virtual screening using BIOVIA Discovery Studio. Further, comparison among top hits was performed via a docking approach based on the binding energy (kcal/mol) calculated using the AutoDock Vina plugin and Patch Dock-like docking engines. Finally, the selected top five molecules were compared for their binding efficiency with reference drugs like Favipiravir, Chloroquine, Ribavirin, Hydroxychloroquine (approved by the FDA), and molecules with better binding affinity than reference drugs was selected.Results: In the first tier of selection, 215 molecules were screened out, satisfying all the necessary conditions of RO5 and ADMET. Among 215 molecules screened, only 203 molecules were stable in structure to undergo the second tier of target-based virtual screening. Further, based upon the LibDock score generated by virtual screening, the top five molecules with the highest LibD score were selected. Molecular docking of these five selected compounds reveals compound2 (3-ethyl-5-propyladamantan-1-amine) with the best binding energy. Furthermore, we compared the binding affinity of 3-ethyl-5-propyladamantan-1-amine with reported drugs that show 3-ethyl-5-propyladamantan-1-amine as the most promising ligand efficient hydrogen bond interactions with amino acid residues of protein which provides more excellent stability in the docked region of the protein with efficient binding energy as compared to the reference molecule. Moreover, Compound2 also has a high oral bioavailability, non-mutagenicity, non-toxicity and follows all RO5 criteria.Conclusion: Thus, it has potential as an antiviral covalent synthetic molecule that may prevent the replication of spike protein. These findings are just preliminary selection to facilitate the upcoming tests from in vivo and in vitro studies.