bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Cloud Load Forecasting Model with Nonlinear Changes using Whale Optimization Algorithm Hybrid Strategy - extreme Learning Machine
Authors: Peng Hua , Wen Wu-Shao , Tseng Ming-Lang , Li Ling-Ling 
Published: April 2021

Abstract
This study proposes a novel cloud load prediction model and combines hybrid whale optimizer (HWOA) and extreme learning machine (ELM) together for strong nonlinear mapping ability. Accurate cloud load prediction improves the cloud service efficiency and serves as the foundation for network scheme due to traditional linear forecasting models are unable to predict cloud computing resources with nonlinear changes on massive multiplication and cloud computing data complexity, effectively. The proposed cloud load forecasting model is to employ HWOA optimizer to optimize the ELM model random parameters. The contributions of this study are as follows. (1) the HWOA optimizer is to solve the whale optimizer local extremum problem; (2) the proposed HWOA optimizer reduces the ELM random parameters on cloud load forecasting; (3) the convergence performance verifies the benchmark testing functions; and (4) three simulation experiments are conducted to test the cloud load forecast effect. The result indicated that the convergence analysis reveals the HWOA optimizer outperforms the prior optimizers. The proposed cloud load prediction model obtains better forecasting results. The mean absolute percentage error and root mean square error of the proposed model are less than 14% and 11, respectively. Accurate cloud load forecasting lays a foundation for effective deployment of cloud computing resources and maximization of economic benefits.
Harnessing of Newly Tailored Poly (Acrylonitrile)-Starch Nanoparticle Graft Copolymer for Copper Ion Removal via Oximation Reaction
Authors: Mostafa khaled , Ameen H. , Ebessy A. , El-Sanabary A. 
Published: April 2021

Abstract
Our recently tailored and fully characterized poly (AN)-starch nanoparticle graft copolymer having 60.1 G.Y. % was used as a starting substrate for copper ions removal from waste water effluent after chemical modification with hydroxyl amine via oximation reaction. This was done to change the abundant nitrile groups in the above copolymer into amidoxime one and the resultant poly (amidoxime) resin was used as adsorbent for copper ions. The resin was characterized qualitatively via rapid vanadium ion test and instrumentally by FT-IR spectra and SEM morphological analysis to confirm the presence of amidoxime groups. The adsorption capacity of the resin was done using the batch technique, whereas the residual copper ions content in the filtrate before and after adsorption was measured using atomic adsorption spectrometry. It was found that the maximum adsorption capacity of poly (amidoxime) resin was 115.2 mg/g at pH 7, 400ppm copper ions concentration and 0.25 g adsorbent at room temperature. The adsorption, kinetics and isothermal study of the process is scrutinized using different variables, such as pH, contact time, copper ion concentration and adsorbent dosage. Different kinetics models comprising the pseudo-first-order and pseudo-second-order have been applied to the experimental data to envisage the adsorption kinetics. It was found from kinetic study that pseudo-second-order rate equation was better than pseudo-first-order supporting the formation of chemisorption process. While, in case of isothermal study, the examination of calculated correlation coefficient (R2) values showed that the Langmuir model provide the best fit to experimental data than Freundlich one.
Efficacy and Safety of Susu Xiao`er Zhike Granules for Treating Acute Cough Due to Common Cold in Children: A Chinese Patent Medicine Study Protocol for Randomized Controlled Trial
Authors: Hu Siyuan , CAI Qiuhan , LI Xinmin , ZHONG Chengliang , WANG Youpeng , YAN Yongbin , LIU Rui , LI Xuan , GUO Shengxuan 
Published: April 2021

Abstract
Background: Cough is the most bothersome symptom, while more than two-thirds of children with common cold have to endure it for weeks. Susu xiao`er zhike granules (Susu) which used to be a clinical experienced herb formula for treating cough caused by common cold, is reproduced into a patent medicine for meeting market demands as a new drug. This protocol is designed with the aim of exploring the efficacy of Susu on shortening duration and reducing severity of cough, and observe the safety used in children. Methods/design: This is a protocol for a randomized, double-blind, dose exploration, multicenter clinical trial. A total of 240 children aged 6-14 years old (<14y) with acute cough caused by common cold will be randomly assigned to one of three groups, respectively take Susu of high dose (double-dose), medium dose (recommended dose) and very low dose (5% recommended dose) for 5 days. The primary outcome is clinical cure time of cough. Secondary outcomes will include clinical cure rate, onset time, AUC of cough severity VAS score-time, PAC-QoL, PGA, cure rate of symptoms and efficacy of traditional Chinese syndrome. For safety assessment, adverse events, laboratory tests and vital signs will be observed. Participants will complete the trial after 1-day follow up assessment. We collect the main data from subject diary. Discussion: The study is a phase II clinical trial that will evaluate the efficacy of a Chinese patent medicine in the treatment of cough in children.Trial registration: Chinese clinical trial registry, ChiCTR1900028377. Registered 20 December 2019, http://www.chictr.org.cn/showproj.aspx?proj=46643
Chronic Colitis Exacerbates Nlrp3-dependent Neuroinflammation and Cognitive Impairment in Middle-aged Brain
Authors: He Xiao-fei , Li Li-li , Xian Wen-biao , Li Ming-yue , Zhang Li-ying , Xu Jing-hui , Pei Zhong , Zheng Hai-qing , Hu Xiquan 
Published: April 2021

Abstract
Background: Neuroinflammation is a major driver of age-related brain degeneration and concomitant functional impairment. In patients with Alzheimer’s disease, the most common form of age-related dementia, factors that enhance neuroinflammation may exacerbate disease progression, in part by impairing the glymphatic system responsible for clearance of pathogenic beta-amyloid. Inflammatory bowel diseases (IBDs) induce neuroinflammation and exacerbate cognitive impairment in the elderly. The NACHT-LRR and pyrin (PYD) domain-containing protein 3 (NLRP3) inflammasome have been implicated in neuroinflammation. We therefore examined if the NLRP3 inflammasome contributed to glymphatic dysfunction and cognitive impairment in an aging mouse model of IBD.Methods: Sixteen-month-old C57BL/6J and NLRP3 knockout (KO) mice received 1% wt/vol dextran sodium sulfate (DSS) in drinking water to model IBD. The Morris water maze was used to examine spatial cognition, in vivo two-photon imaging to examine glymphatic clearance, and immunofluorescence staining and western blotting to detect markers of neuroinflammation. Results: Administration of DSS induced colitis, impaired spatial cognition, activated microglia and increased A1-like astrocyte numbers. In addition, DSS treatment impaired glymphatic clearance, aggravated amyloid plaque accumulation, and induced neuronal loss in cortex and hippocampus. These neurodegenerative responses were associated with increased NLRP3 inflammasome expression and accumulation of gut-derived T lymphocytes along meningeal lymphatic vessels. Conversely NLRP3 depletion protected against cognitive dysfunction, neuroinflammation, and neurological damage induced by DSS.Conclusions: Colitis can exacerbate age-related neuropathology, while suppression of NLRP3 inflammasome activity may protect against these deleterious effects of colitis.
Fibroblast Growth Factor 11 (FGF11) Promotes Non-small Cell Lung Cancer (NSCLC) Progression by Regulating Hypoxia Signaling Pathway
Authors: Wu Xiaowei , Li Minjie , Deng Yu , Ke Shun , Li Fan , Wang Yujin , zhou shuchang 
Published: April 2021

Abstract
Background: Recently, accumulating studies highlight the critical regulatory roles of fibroblast growth factors (FGF), and a series of FGF, participated in the progression of multiple human cancers, including non-small cell lung cancer (NSCLC). Methods: Gene transcriptome analysis was used to identify the differential expression of FGF11 in NSCLC tumor tissues, GSE75037 and GSE81089 database analysis was performed on NSCLC tumor tissues and adjacent normal tissues to validate the expression of FGF11. Then, we selected 100 cases of NSCLC tumor tissues and 30 cases of matched adjacent normal tissues to confirm the mRNA and protein level of FGF11 by qRT-PCR and immunohistochemistry. Bioinformatics analysis and dual luciferase reporter analysis was also performed to examine the direct regulatory of FGF11 by miR-525-5p. CCK-8 and transwell assay was also performed to detect the cell proliferation, migration and invasion. Signal pathway analysis was also investigated the effect of FGF11 on NSCLC cell proliferation was associated with the hypoxia signaling pathway. The role of FGF11 in NSCLC tumor growth was further explored by in vivo study.Results: FGF11 was overexpressed in NSCLC tumor tissues and tumor cell lines, the high expression of FGF11 was closely associated with poor overall survival of NSCLC patients. In vitro loss- and gain- of function experiments demonstrated that FGF11 knockdown inhibited, whereas FGF11 overexpression promoted the proliferation, migration and invasion of NSCLC cells. The dual luciferase reporter assay confirmed that FGF11 was downregulated by miR-525-5p, and the effect of FGF11 on cell proliferation, migration and invasion could be interfered by miR-525-5p. We further found that FGF11 had significant correlation with hypoxia signaling pathway activation, meanwhile regulating HIF-1α. Further experiments implicated that the oncogenic role of FGF11 could be blocked via interfering of HIF-1α in NSCLC cells. Moreover, knockdown of FGF11 suppressed NSCLC tumor growth whereas overexpression of FGF11 promoted tumor growth in vivo. Conclusions: FGF11 might be functioned as an oncogene in tumor development, the findings of our study revealed a novel regulatory mechanism of FGF11 involved in hypoxia signaling pathway, which offers novel strategies for the treatment of NSCLC.
Science Operation Plan of Phobos and Deimos From the MMX Spacecraft
Authors: Nakamura Tomoki , Ikeda Hitoshi , Kouyama Toru , Nakagawa Hiromu , Kusano Hiroki , Senshu Hiroki , Kameda Shingo , Matsumoto Koji , Gonzalez-Franquesa Ferran , Ozaki Naoya , Takeo Yosuke , Baresi Nicola , Oki Yusuke , Lawrence David J. , Chabot Nancy L. , Peplowski Patrick N. , Barucci Maria Antonietta , Sawyer Eric , Yokota Shoichiro , Terada Naoki , Ulamec Stephan , Michel Patrick , Kobayashi Masanori , Sasaki Sho , Hirata Naru , Wada Koji , Miyamoto Hideaki , Imamura Takeshi , Ogawa Naoko , Ogawa Kazunori , Iwata Takahiro , Imada Takane , Otake Hisashi , Canalias Elisabet , Lorda Laurence , Tardivel Simon , Mary Stéphane , Kunugi Makoto , Mitsuhashi Seiji , Doressoundiram Alain , Merlin Frédéric , Fornasier Sonia , Reess Jean-Michel , Bernardi Pernelle , Imai Shigeru , Ito Yasuyuki , Ishida Hatsumi , Kuramoto Kiyoshi , Kawakatsu Yasuhiro 
Published: April 2021

Abstract
The science operations of the spacecraft and remote sensing instruments for the MMX (Martian Moon eXploration) mission are discussed by the mission operation working team. In this paper, we describe the Phobos observations during the first 1.5 years of the spacecraft's stay around Mars, and the Deimos observations before leaving the Martian system. In the Phobos observation, the spacecraft will be placed in low-altitude quasi-satellite orbits on the equatorial plane of Phobos and will make high-resolution topographic and spectroscopic observations of the Phobos surface from five different altitudes orbits. The spacecraft will also attempt to observe polar regions of Phobos from a three-dimensional quasi-satellite orbit moving out of the equatorial plane of Phobos. From these observations, we will constrain the origin of Phobos and Deimos and select places for landing site candidates for sample collection. For the Deimos observations, the spacecraft will be injected into two resonant orbits and will perform many flybys to observe the surface of Deimos over as large an area as possible. (166 words)
Structure and Electrical Resistance of the Passivating ZnSe Layer on Ge
Authors: Maslov Volodymyr , Fedorenko Artem , Kladko Vasyl , Gudymenko Alexandr , Zashchepkina Nataliia , Bozhko Kostiantin 
Published: April 2021

Abstract
When creating a passivating ZnSe layer on Ge, which is used in p-i-n Ge photodetector, we found two additional phases GeSe and GeSe2 that does not contradict with their state diagram. The above phases can have an essential effect on performances of the passivating layer. Therefore, to study the electrical resistance of this layer we prepared model samples of layers containing the GeSe and GeSe2 with the thickness 0.5…1.8 µm and area 1 cm2. To measure the electrical resistance of these layers, we used elastic contacts. The performed measurements have shown that Se layers on Ge have an intermediate resistance between that of ZnSe on Ge and pure Ge, and, therefore, the effect of additional phases practically does not worsen the passivating properties of the ZnSe layer on Ge.
Antioxidant Capacity and Hepatoprotective Effect of Silymarin Against Salinomycin – Induced Toxicity in Adult Rabbits
Authors: ghonaim Ahmed Hamdy , Hopo Mai G , AboElnaga tarek , Elgawish Rania Abdelrahman , Abdou RH , Elhady Kawther A. 
Published: April 2021

Abstract
Salinomycin was evaluated for its toxicity and silymarin for prophylactic management in male rabbits. Male rabbits were randomly divided into 7 groups with 7 rabbits / each. Groups 1, 2, 3 were kept as control group, salinomycin (20 mg / kg ration) and salinomycin (40 mg / kg ration), respectively. Group 4 was fed on feed containing salinomycin (20 mg / kg ration) and silymarin (6.5 mg / kg body weight). Group 5 received feed containing salinomycin (40 mg / kg ration) and silymarin (13 mg / kg body weight). Groups 6 and 7 were nourished feed containing silymarin (6.5 and 13 mg / kg body weight), respectively. Duration of the experiment was 28 days. Weekly body weights showed a significant reduction in the 3rd group when compared with control group. The activity of Malondialdhyde and the values of aspartate aminotransferase, alanine aminotransferase, total protein, albumin, total cholesterol, triglycerides, low density lipoprotein, urea and creatinine were significantly elevated in 2nd and 3rd group while glutathione, catalase, superoxide dismutase and high density lipoprotein were significantly lowered when compared with control group. Thus, it is clarified that salinomycin toxicity is owed to oxidative damage and the usage of silymarin in feed tends to treat and prevent any accidental toxicity. Relative weight of the liver increased significantly in 3rd group. There were mild pathologic changes in liver of 2nd group while there were sever pathologic changes at 3rd group when compared with control group.
DFT Study of Se and Te Doped SrTiO 3 for Enhanced Visible-Light Driven Phtocatalytic Hydrogen Production
Authors: BENTOUR Hakim , Boujnah Mourad , Houmad Mohamed , Yadari Mourad El , BENYOUSSEF Abdelilah , Kenz Abdallah El 
Published: April 2021

Abstract
The pure STiO3 has been experimentally demonstrated to catalyze H2 production using water splitting, but the reaction can only be driven by Ultraviolet (UV) radiation due to the large band gap of SrTiO3. This motivated us to search efficient strategy to tune its band gap, so that it can function in the visible region of the solar spectrum. In this study, the electronic, optical and photocatalytic properties of Se-doped, and Te-doped SrTiO3 has been investigated using density functional theory (DFT) within the generalized gradient approximation (GGA). Our results reveal that the effect of doping can lead to band gap narrowing without introducing any isolated mid-gap states. This improves greatly the visible light activity of SrTiO3 and depresses the recombination of photogenerated electron-hole pairs. Furthermore, the locations of calculated band edges relative to the water reduction and oxidation levels for doped systems meet the water-splitting requirements. Consequently, our results show that the performance of SrTiO3 for hydrogen generation by photocatalytic water splitting is significantly enhanced with Se and Te doping. In particular, Te doping can enhance greatly the visible light photocatalytic activity of SrTiO3. We expect this study can provide a theoretical basis for a prospective experimental works.
Approximate Solutions for the Ion-Laser Interaction in the High Intensity Regime: Matrix Method Perturbative Analysis
Authors: Martínez Braulio Misael Villegas , Cessa Héctor Manuel Moya , Eguibar Francisco Soto 
Published: April 2021

Abstract
We provide an explicit expression for the second-order perturbative solution of a single trapped-ion interactingwith a lser field in the strong excitation regime. From the perturbative analytical solution, based on a matrix methodand a final normalization of the perturbed solutions, we show that the probability to find the ion in its excited statefits well with former results.
Theoretical modeling and experimental research on the depth of radial material removal for flexible grinding
Authors: Zheng Gang , Chen Keyan , Zhang Xiaojian 
Published: April 2021

Abstract
Abrasive belt flap wheel has large elastic deformation, which can better fit the surface of aero-engine blades. Reasonable control of the depth of radial material removal can effectively improve the grinding efficiency and profile accuracy of the blade surface. The depth of radial material removal for flexible grinding was studied through the process parameters in this article. First, the material removal rate model was established based on Hertz elastic contact theory and Preston equation. Then, according to the principle of equivalent material removal volume, a noval approach to determine the depth of radial material removal was proposed. Finally, the experiments for both plane and surface were implemented on a vertical machining center. The results indicate that the proposed method can improve the accuracy and consistency for flexible grinding.
A method of thermal error prediction modeling for CNC machine tool spindle system
Authors: Cao Wenjie , Li Haolin , Li Qiang 
Published: April 2021

Abstract
In order to improve the machining accuracy of the thermal error prediction model of CNC machine tools, a new method for calculating the position of the measuring points optimal combination researched on linear correlation is proposed, according to the thermal-mechanical finite element analysis(FEA) model of spindle system established after analyzing the thermal characteristics of heat source temperature field of CNC machine tool spindle system. Based on the correlation analysis(CA) of the finite element model of heat source temperature field of CNC machine tool spindle system, combined with the concept of mutual information (MI), this method measures the information of the measurement point variables including the thermal error variables and uses principal component analysis (PCA) to eliminate the collinearity effect within measuring point variables. By using multilinear regression(MR), The thermal error prediction model(CAMI-PCAMR) is established. The accuracy of the prediction model is verified by comparing the actual measurement thermal error with the predicted thermal error through the experimental measurement and analysis of the thermal error of the CNC end grinder test machine tool system. That the axial prediction accuracy of this method can reach 1.099 \(\mu m\), and the prediction radial accuracy can reach 1.28 \(\mu m\) under the variable ambient condition, so as to provide parameters and theoretical guidance for embedding temperature sensors in the machine tool to compensate thermal error in the design stage. And the experimental results also show that the CAMI-PCAMR method is superior to the gray correlation and fuzzy clustering(FC-GCA) modeling method.
3D implicit modeling applied to the evaluation of CO2 geological storage in the shales of the Irati Formation, Paraná Basin, Southeastern Brazil
Authors: de Oliveira Saulo B. , Tassinari Colombo C. G. , A-A. Richardson M. , Torresi Ignacio 
Published: April 2021

Abstract
The Paris Agreement established global ambitious targets for reducing carbon dioxide (CO2) emissions, requiring the rapid and extensive development of low carbon technologies, and one of the most efficient is CO2 geological storage. Among the deep geological formations used for CO2 storage, the shale layers have been a new emerging topic showing to be efficient because they are abundant and have a high content of organic matter, being favorable for CO2 retention. However, one of the challenges in evaluating a location for possible reservoirs is the adequate geological characterization and storage volume estimates. This research evaluated the Irati Formation of the Paraná Basin, through the information from hydrocarbon exploration wells in Southeastern Brazil, where most stationary sources of carbon emissions are located. Three-dimensional (3D) implicit modeling techniques were applied not only for the volume calculation purpose, but also in the site selection stage, generating thematic 3D models of thickness, depth, structures, and distance to aquifer systems. The limestones, shales, and black shales of the Irati Formation were locally divided into six units according to geological composition and spatial continuity. The E black shale unit was considered for CO2 geological storage indicating a theoretical capacity of 1.85 Gt of CO2. The potential of the achieved capacity is promising not only for been greater than the total of CO2 locally produced but also for supporting the implantation of new projects in this region.
COVID-19 vaccine acceptance, barriers and facilitators among healthcare workers in Pakistan
Authors: Rehman Khalid , Hakim Muhammad , Arif Nauman , Islam Siraj Ul , Saboor Abdul , Asif Muhammad , Ramharter Michael 
Published: April 2021

Abstract
Background
Vaccines are one of the main cornerstones in the global initiatives to control the COVID-19 pandemic. National vaccination programs largely depend on vaccine availability and acceptance by a large proportion of the population to confer a measurable impact on SARS-CoV-2 transmission. In this study we determine the acceptance, barriers and facilitators of COVID-19 vaccination amongst healthcare workers (HCWs) in Pakistan
Methods
A structured and validated questionnaire was used in an online cross-sectional study. Health care workers residing in Pakistan were invited between 31st January to 9th February to participate in this survey.
Results
A total of 436 health-care workers took part in this survey and among those 327 (75%) were doctors. 260 (60%) health-care workers indicated that they would accept vaccination against COVID-19. 308 (71%) were completely confident or confident in using USA, UK manufactured COVID-19 vaccine. The acceptance concerning a potential Chinese vaccine was 267 (61%). 292 (67%) strongly agreed or agreed that they are concerned about the efficacy of COVID-19 vaccination while the concerns for safety were 293 (67%).
Conclusions
About a third of HCWs, a group generally biased towards early acceptance of health interventions – expressed concerns or refusal of vaccination against COVID-19 in this survey. A dedicated communication plan and information campaign addressing the issues of efficacy, quality, logistics and religious concerns is needed to address these hurdles to allow for a successful national vaccination campaign.