bluuebunny/crossref_metadata_2025 huggingface dataset:
In-situ Confocal Laser Microscopy Study of Lead Sulfate Crystal Growth on Negative Electrode of Lead-acid Batteries
Authors: Chladil Ladislav , Hálová Hana , Čech Ondřej
Published: December 2021

Confocal Laser Scanning Microscopy (CLSM) is a widely used technique mainly in fields of biology or multidisciplinary material sciences. Although CLSM has the ability to monitor also electrochemical processes like lead sulfate-crystal growth, nobody used CLSM for such application. We performed operando observation of the pasted active mass of negative electrode for lead-acid batteries during deep cycling. Electrode with pasted negative active mass was optimized for cycling in ECC-opto-std electrochemical cell by EL-CELL. Lead sulfate crystal growth and changes of electrode surface during cycling were observed using a laser scanning confocal microscope Olympus Lext OLS4100. We evaluate the surface changes and sulfate crystal growth. The cycling mode leads to fast gradual degradation of the negative electrode and massive growth of lead sulfate crystals. Confocal laser scanning microscopy was identified as a powerful technique for visualization of lead sulfate crystal promotion during battery cycling.
Titania Containing Cathodes for Lithium-Sulfur Batteries: Case Studies by Electrochemical Impedance Spectroscopy
Authors: Kavan Ladislav , Vinarcikova Monika , Zlámalová Magda , Zukalova Marketa
Published: December 2021

Electrochemical impedance spectroscopy is used to study novel cathode materials for lithium-sulfur batteries, based on commercial carbon and titania. Coin cells with Li anode are investigated at various stages of galvanostatic cycling. For comparison, also symmetrical coin cells with a pair of positive (S/C/TiO2) or negative (Li) electrodes are studied. In addition to the application of titania as a barrier material impeding the polysulfide diffusion in the electrolyte solution, the inherent Li-insertion activity of TiO2 (anatase) and its contribution to the sulfur redox reactions is discussed.
Melanin’s Semiconductor Nature and His Polymer Structure Successfully Modifies Sulfur Cathode and Increases Efficiency on Li-S Batteries
Authors: Polishchuk Yuliya , Shembel Elena , Kyrychenko Volodymyr , Strakova Fedorkova Andrea , Redko Volodymyr , Blyuss Boris , Girin Oleg
Published: December 2021

Dynamics of change in impedance spectra and electrochemical parameters of the Li-S rechargeable batteries with non-aqueous liquid electrolyte 0.7 M LiIm, 0.25 M LiNO3, DME: DOL (2:1) during storage after assembly and cycling have been shown. For modification of the Sulfur cathode, we used the different types of melanin. Our results confirm that melanin can be used as a promising component of sulfur-based electrodes
Non-Aqueous Ionic Liquids Based on Quaternary Ammonium Salts for Lithium-Sulfur Batteries
Authors: Ovchinnikova Olga , Polishchuk Yuliya , Sukhyy Konstantin , Shembel Elena
Published: December 2021

Results of measuring the conductivity of electrolytes with ionic liquids (IL) based on quaternary ammonium salts, promising for innovative lithium-sulfur batteries are presented. The conductivity of IL in a propylene carbonate-dimethylformamide mixture is 5.2·10-4. Sm/cm depending on the solvent ratio. The presence of lithium salt leads to higher values up to 8.9·10-3 Sm/cm.
Use of Renewable Energy Sources for Power Supply of Variable Traffic Signs
Authors: Binar Tomáš , Zimáková Jana , Fridrich Jiri , Sedlarikova Marie
Published: December 2021

The work deals with the design and implementation of a kit for the creation of a supply point for electricity generated from renewable sources. A mobile kit for powering variable traffic signs is designed, which uses photovoltaic panels and stores energy in a lead-acid battery. A methanol fuel cell is used for backup power. The device is adapted to the possibilities use in road transport and meets the requirements of the relevant authorities. To verify the stability of the structure, static calculations were performed, which proved the resistance of the equipment to wind stress.
Thermodynamics of Moist Air for Vacuum Technology
Authors: Horak Vladimir , Phan Bui Thanh , Dobšáková Lenka
Published: December 2021

The paper is focused on the developing a predictive mathematical model for describing thermodynamic processes connected with the moist air depressurization in vacuum chambers. Equations of the mathematical description are based on principles of the energy and mass conservation, which are complemented by the moist air thermodynamics, the state behavior of water and vapor, including principles of the critical flow. The described problem has been solved using the MATLAB software. In the paper, two cases are applied and discussed: the vacuum drying and the specimen chamber of an environmental scanning electron microscope. The specific requirements are especially important for environmental scanning electron microscopes, where it is possible to observe samples, which contain water, in their natural condition. If the air pressure, temperature and humidity do not have suitable values, observed sample may be dried or damaged.
Resistance of PLA Material Prepared By Additive Technology
Authors: Studeny Zbynek , Dobrocky David , Dobšáková Lenka , Prochazka Jiri
Published: December 2021

The article studies the surface properties of PLA material prepared by additive technology, i.e. 3D printing. Samples with a square test area were printed by FFF technology. After 3D printing, the surface texture of the samples was evaluated in terms of microgeometry.Tribological tests were performed on the samples. The surface of the samples was cyclically stressed with the same load, always on the same path. Cyclic loading of the surface was performed on a UMT Bruker tribometer. The tribological properties between the sample surface and the test specimen in the shape of a ball were studied during the reciprocating motion. In particular, the coefficient of friction was measured and evaluated. The ball material was PTFE and Polypropylene.The wear parameters of samples and balls were documented and evaluated. The results of the tests are the load dependencies on the wear of the PLA material and the test specimens.
The Corrosion Resistance of Hard Anodised EN AW 7075 T6 Alloy
Authors: Kusmič David , Klakurková Lenka , Julis Martin , Gejdoš Pavel , Vilis Jindrich , Cech Ondrej
Published: December 2021

In this paper, commercially cold-rolled and artificial aged EN AW 7075 T6 alloy has been used. To ensure increased corrosion resistance, surface hardness, scratching resistance, and aesthetic features, this aluminium alloy was subsequently hard anodised and hot-water sealed (AC-A). The hard anodizing and sealing process increased surface hardness up to 304±13 HV 1 from an initial surface hardness of 194±3 HV 1. Also, the microhardness of the anodised layer and bulk material has been documented. Scanning electron microscopy (SEM) was used for microstructure and trapped precipitates investigation in the 42.9±1.4 thick formed anodised layer investigation. The T6 treated (AC) and hard anodised together with sealed (AC-A) EN AW 7075 alloy corrosion properties were evaluated using the anodic potentiodynamic polarisation tests (PPT) in a neutral 2.5% NaCl deaerated solution. The corrosion rate CR (mm/y) decreased approx. 39-times for the hard anodised and sealed EN AW 7075 alloy (AC-A), associated with the shift of the Ecorr (mV) to more positive values, degreased Icorr (µA) and increased Rp (Ohm) values compared to the artificial aged (AC) alloy. Additionally, the pitting was evaluated using laser confocal microscopy, and the pitting coefficient was also calculated.
Modification of Surface Structure by Diffusion Processes
Authors: Prochazka Jiri , Dobrocky David , Joska Zdenek , Nguyen Chien , Sedlacek Jan , Sedlak Josef , Polzer Ales , Sliwkova Petra
Published: December 2021

In the paper an effect of a diffusion technology such as gaseous ferritic nitrocarburizing on the surface properties of selected alloyed case-hardening steel was tested. The steel 18CrNiMo7-6, primarily predetermined for carburizing and frequently utilized in manufacturing of highly strained components, where high core tensile strength as well as hard surface is demanded, was exposed to gaseous ferritic nitrocarburizing. Such treated surface was subjected to experimental methods. The microstructure observation and the determination of the white layer thickness was performed on the Opto-digital microscope Olympus DSX500i. The nitriding hardness depth of the surface layer from the microhardness profiles obtained by the microhardness tester LM247 AT LECO was deduced. The wear resistance was assessed by utilizing the Scratch test method performed on the tribometer Bruker UMT-3 TriboLab. Results of the measurements present an effect of gaseous ferritic nitrocarburizing on the surface properties of the steel 18CrNiMo7-6 and provide a perception of possibility to substitute the frequently utilized carburizing by the gaseous ferritic nitrocarburizing.
Environment Influence on the Properties of Functional Parts Made of HIPS Material
Authors: Šafl Pavel , Zimáková Jana , Binar Tomáš
Published: December 2021

The aim of this work is to study the climatic influences on 3D printed materials. This study focuses on the HIPS material, which was chosen as the starting material for further studies. The material in the field of 3D printing is known for its rapid photooxidation, which results in the formation of cracks in the final product. A climatic chamber was used for degradation, in which UV light, heat and increased humidity were applied to the material. The degree of degradation was then checked by tensile test and electron microscope.
Analysis of the Risk of a Shortage of Operating Stocks in an Item-Unbalanced Spare Parts Supply System
Authors: Kutil Robert , Binar Tomáš , Zimáková Jana , Sedlarikova Marie
Published: December 2021

Inventory creation of rechargeable batteries for vital operating equipment requires continuous monitoring of material flows and their optimization. Optimizing inventory processes and material flows in logistics chains is a complex task that depends entirely on knowledge of data on past flows and plans or predictions of future flows. Equally important are knowledge of the service life of materials and knowledge of mathematical models, including the possibilities and regularities of their application for various model situations. The input data for each specific subject reflects not only the business task, but also its concept and position in the sales or production market. It is obvious that the concept of inventory creation will be different for a manufacturing company, different for a commercial subject and different for a state-financed entity. The state-financed and managed entities have specific requirements for the creation of inventories arising from the purpose of their existence and concurrently from the restrictions given by the management systems and regulation of financial flows. It is the limitation resulting on the one hand from the methodologies and laws governing the principles of public procurement that may be in partial conflict with internal normative acts. Using the analysis of input parameters of purchases with subsequent application to a specific inventory creation model from inventory theory, the influence of standard inventory creation processes on the speed and completeness of spare parts deliveries and the resulting level of the maximum required amount of held inventory is shown on the selected entity.
Modelling of Electrode Size Influence on Electrochemical MHD Processes
Authors: Mačák Martin , Vyroubal Petr
Published: December 2021

The presented article describes a simulation of an electrochemical reaction in a presence of a magnetic field using a custom model implemented into Ansys Fluent. The influence of electrode size and the effect of scan rate is investigated further. The results show that the magnetic field can significantly increase mixing and transport of species towards the electrode, which results in higher obtained current densities. Additionally, this method can be used to control fluid flow in microfluidic devices.
Analysis of the Effect of Reflected Shock Waves in the Experimental Chamber
Authors: Maxa Jiří , Šabacká Pavla , Bayer Robert
Published: December 2021

As part of the research in the field of vacuum chamber pumping in the Environmental Electron Microscope, research on supersonic flow through apertures is being carried out at the Department of Electrical and Electronic Technology of Brno University of Technology in cooperation with the Institute of Scientific Instruments of the CAS. This paper deals with the influence of reflected shock waves on the resulting flow in the pumped part of the Experimental Chamber.
Mathematical and Physical Analysis of Pressure Gradient in the Experimental Chamber for Subsequent Comparison with Optical Methods
Authors: Bayer Robert , Maxová Anna
Published: December 2021

As a part of the research in the field of pumping vacuum chambers in the Environmental Electron Microscope, a research on supersonic flow through the Appertures is being carried out at the Department of Electrical and Electronic Technology of the Brno University of Technology in cooperation with the Institute of Scientific Instruments of the Czech Academy of Science. This paper deals with the possibility of investigating shock waves using the Shlieren optical method, which allows to observe pressure gradients as the first derivation of pressure.
Equivalent Circuit Modelling of Li-S Batteries
Authors: Mačák Martin , Kazda Tomáš , Jasso Kamil , Vyroubal Petr
Published: December 2021

The presented article describes a Multi-Scale Multi-Domain model of a Li-S battery using an equivalent circuit model consisting of R-C pairs. The parameters of the equivalent circuit model were obtained by fitting experimentally measured results from electrochemical impedance spectroscopy at various states of charge. Simulation were carried out for discharging as well as for charging of the battery. The presented model is able to capture characteristic behaviour of Li-S batteries.
Mathematical and Physical Analysis of the Effect of Conical and Detached Shock Waves at the Tip of a Static Probe in an Experimental Chamber
Authors: Šabacká Pavla , Maxa Jiří , Maxová Anna
Published: December 2021

As part of the research in the field of pumping vacuum chambers in the Environmental Electron Microscope, research on supersonic flow through apertures is being carried out at the Department of Electrical and Electronic Technology of the Brno University of Technology in cooperation with the Institute of Scientific Instruments of the CAS. This paper deals with the influence of the shape of the static probe cone design for static pressure measurements in the supersonic flow regime in the Experimental Chamber. The cone of the probe has an effect on the shape of the shock wave, which significantly influences the detected static pressure value.
Mathematical-Physical Analysis of Drag Force of a .223 REM Caliber Projectile
Authors: Šabacká Pavla , Maxa Jiří , Maxa Filip
Published: December 2021

This article deals with the mathematical and physical analysis of the drag force affecting a .223 REM projectile as a basis for further modification of the aerodynamic shape of the projectile by changing the perpendicular shock wave at the projectile tip into a conical one. For the analyses, the Department’s experience from the analysis of the supersonic flow generated during the pumping of the vacuum chambers of the electron microscope was used.
Defecation induced by stimulation of sacral S2 spinal root in cats
Authors: Wang Jicheng , Shen Zhijun , Shen Bing , Jian Jianan , Hannan Travis , Goosby Khari , Wang William , Beckel Jonathan , de Groat William C. , Chermansky Christopher , Tai Changfeng
Published: December 2021

This study in cats determined the optimal stimulation parameters and the spinal segment for sacral spinal root stimulation to induce colon contraction. The results have significant implications for design of a novel neuromodulation device to restore defecation function after spina cord injury (SCI) and for optimizing sacral neuromodulation parameters to treat non-SCI people with chronic constipation.
Ia EPSPs in rat spinal motoneurons are potentiated after a 5-week whole body vibration
Authors: Krutki Piotr , Mrówczyński Włodzimierz , Celichowski Jan , Bączyk Marcin
Published: December 2021

The study provides new information on neuronal plasticity following repeatedly exerted mechanical loading. We demonstrate in electrophysiological experiments on rat lumbar motoneurons that low-volume whole body vibration applied systematically for 5 wk potentiates synaptic excitation from primary muscle afferents. The adaptive changes are expressed by higher amplitudes and shorter rise times of monosynaptic EPSPs evoked in motoneurons of the vibrated group compared with the control.
Clinical Treatment and Prognostic Analysis of Patients with Aneurysmal Subarachnoid Hemorrhage
Authors: Yang Xue , Cheng Qiong , Li Yunfei , Zheng Zheng , Liu Junpeng , Zhao Zhenhua
Published: December 2021

Subarachnoid hemorrhage (SAH) is a serious disease caused by blood flow into the subarachnoid space due to rupture of blood vessels. All diseases that cause intracranial hemorrhage are the cause of subarachnoid hemorrhage. Among them, due to the particularity of intracranial blood vessels, intracranial blood vessels are more prone to aneurysms than other parts. Therefore, the incidence of aneurysmal subarachnoid hemorrhage (aSAH) is extremely high. The purpose of this article is to study the clinical treatment and prognosis analysis of aSAH patients. This article first summarizes the current status of SAH research at home and abroad and summarizes its potential value and significance. On this basis, an in-depth study of the clinical treatment of aSAH patients has been carried out. The physiological mechanism and clinical general differences of aSAH were studied and analyzed. This article systematically describes the application of CTP in the treatment and prognosis analysis of aSAH patients. Then, it will use a comparative analysis method, interdisciplinary method, and other research forms to carry out experimental research on the theme of this article. Research shows that rebleeding and blood sodium are the main factors for cerebral ischemia caused by aSAH.
[Retracted] A Study on the Topic‐Sentiment Evolution and Diffusion in Time Series of Public Opinion Derived from Emergencies
Authors: Cai Meng , Luo Han , Cui Ying
Published: December 2021

With the development of the Internet, social media has become an important platform for people to deal with emergencies and share information. When a public health emergency occurs, the public can understand the topics of the event and perceive the sentiments of others through social media, thus building a cooperative communication network. In this study, we took the public health emergency as the main research object and the natural disaster, accident, and social security event as the secondary research object and further revealed the law of the formation and evolution of public opinion through the analysis on temporal networks of topics and sentiments in social media platforms. Firstly, we identified the derived topics by constructing the topic model and used the sentiment classification model to divide the text sentiments of the derived topics into two types: positive sentiment and negative sentiment. Then, the ARIMA time series model was used to fit and predict the evolution and diffusion rules of topics and sentiments derived from public opinions on temporal networks. It was found that the evolution law of derived public opinions had similarities and differences in various types of emergencies and was closely related to government measures and media reports. The related research provides a foundation for the management of network public opinion and the realization of better emergency effects.
[Retracted] Deep Learning and Collaborative Filtering‐Based Methods for Students’ Performance Prediction and Course Recommendation
Authors: Liu Jinyang , Yin Chuantao , Li Yuhang , Sun Honglu , Zhou Hong
Published: December 2021

At the beginning of a new semester, due to the limited understanding of the new courses, it is difficult for students to make predictive choices about the courses of the current semester. In order to help students solve this problem, this paper proposed a hybrid prediction model based on deep learning and collaborative filtering. The proposed model can automatically generate personalized suggestions about courses in the next semester to assist students in course selection. The two important tasks of this study are course recommendation and student ranking prediction. First, we use a user‐based collaborative filtering model to give a list of recommended courses by calculating the similarity between users. Then, for the courses in the list, we use a hybrid prediction model to predict the student’s performance in each course, that is, ranking prediction. Finally, we will give a list of courses that the student is good at or not good at according to the predicted ranking of the courses. Our method is evaluated on students’ data from two departments of our university. Through experiments, we compared the hybrid prediction model with other nonhybrid models and confirmed the good effect of our model. By using our model, students can refer to the different recommendation lists given and choose courses that they may be interested in and good at. The proposed method can be widely applied in Internet of Things and industrial vocational learning systems.
A Novel Method for Remaining Useful Life Prediction of Roller Bearings Involving the Discrepancy and Similarity of Degradation Trajectories
Authors: Luo Honglin , Bo Lin , Liu Xiaofeng , Zhang Hong
Published: December 2021

Accurate remaining useful life (RUL) prediction of bearings is the key to effective decision‐making for predictive maintenance (PdM) of rotating machinery. However, the individual heterogeneity and different working conditions of bearings make the degradation trajectories of bearings different, resulting in the mismatch between the RUL prediction model established by the full‐life training bearing and the testing bearings. To address this challenge, this paper proposes a novel RUL prediction method for roller bearings that considers the difference and similarity of degradation trajectories. In this method, a feature extraction method based on continuous wavelet transform (CWT) and convolutional autoencoder (CAE) is proposed to extract the deep features associated with bearing performance degradation before the degradation indicator (DI) is obtained by applying the self‐organizing maps (SOM) method. Next, a dynamic time warping (DTW) based method is applied to perform the similarity matching of degradation trajectories of the training and testing bearings. Driven by the historical DIs of the given bearing, the grey forecasting model with full‐order time power terms (FOTP‐GM) is applied to model the degradation trajectory using a parameter optimization method. Then, the failure threshold of the given testing bearing can be determined using a data‐driven method without manual intervention. Finally, the RUL of the given testing bearing can be estimated using the preset failure threshold and the optimized degradation trajectory model of the given testing bearing. The experimental results show that the proposed method retains the individual differences of bearing degradation trend, realizes the independent and reasonable bearing failure threshold setting, and improves the prediction accuracy of RUL.
Prevalence and Clinical Significance of Occult Pulmonary Infection in Elderly Patients with Type 2 Diabetes Mellitus
Authors: Hua Jian , Huang Ping , Liao Honghui , Lai Xiaobing , Zheng Xiaoyi
Published: December 2021

The occult pulmonary infection is the most common complications in elderly patients with type 2 diabetes mellitus (T2DM). Since its etiological characteristics has not been clarified, infection control remains a serious problem for public health. To investigate the prevalence and clinical significance of occult pulmonary infection in elderly T2DM patients, in this study, 573 elderly patients cochallenged with T2DM and community‐acquired pulmonary infection from January 2018 to December 2020 were selected in the hospitals and divided into occult pneumonia group (OP, n = 249) and nonoccult pneumonia group (NOP, n = 324) according to the nature of infection. Clinical medical records were analyzed retrospectively to summarize the infection characteristics of elderly diabetics with occult pneumonia. The prevalence of the cases (278/324, 85.8%) in NOP group was not higher than that in OP group (206/249, 82.7%; P > 0.05). Also, there was not significant difference in the distribution of isolated pathogens among the positive patients. The length of hospitalization and mortality of OP patients were significantly higher than those NOP patients. Multivariate logistic regression showed that advanced age, comorbidities, hypothyroidism, senile dementia, and prolonged bed rest were independent risk factors for occult pneumonia in elderly diabetic patients. Therefore, the results demonstrated that the pulmonary infection in elderly patients with diabetes mellitus is often occult. Gram‐negative bacteria are the predominant pathogens and cause poor prognosis. Advanced age, comorbidities (senile dementia, hypothyroidism), and prolonged bed rest are the independent risk factors for occult pneumonia.
[Retracted] Badminton Path Tracking Algorithm Based on Computer Vision and Ball Speed Analysis
Authors: Lyu Yi , Zhang Shumin
Published: December 2021

With the development of artificial intelligence and the rapid development of the computer industry, the practicability of computer vision programs is gradually improved. In this paper, the badminton path tracking algorithm based on computer vision analyzes the badminton trajectory and speed. This paper is aimed at analyzing the image processing technology and path tracking algorithm by using computer vision to obtain relevant data and then exploring the factors of badminton path and ball speed transformation, which provides reference significance for badminton players in future training. The path tracking algorithm is used to predict the rotation angle, the ball speed, and the athlete’s body information during the badminton movement through sensors, and the position information of the moving target is captured based on the visual field tracking and target dynamic tracking. Combined with specific badminton players, we first analyze the angle of each limb and the speed of the racket in the process of movement and record the data. Determine different positioning points for different actions, such as pushing the ball, picking the ball, hooking the ball, and rubbing the hair. In this process, we aim at the connection between the highest point and the lowest point of the badminton trajectory and the ball speed. This process fully combines the theoretical knowledge of the path tracking algorithm. The experimental results show that different service skills have different effects on the trajectory and speed of badminton. In the test of relevant data by using the push and receive skills, the lowest point of the ball served by player A in the first three times is higher than that by player B. The most significant difference between the lowest points of the five times is the second time, with a difference of 0.2 m, and the third time, with a minimum difference of 0.03 m.
An Empirical Analysis of Corporate Financial Management Risk Prediction Based on Associative Memory Neural Network
Authors: Chu Hui
Published: December 2021

As a human brain‐like computational model that can reflect the cognitive function of the brain, the problem of dynamic analysis of associative memory neural networks has attracted the attention of scholars. This paper combines associative memory neural networks with enterprise financial management risks, studies the synchronization control and stability analysis problems of unidirectional associative memory‐like human brain amnestic neural networks with perturbation and mixed time‐varying time lags, proposes a bidirectional associative memory‐like brain stochastic amnestic neural network model with mixed time‐varying time lags, designs a discrete‐time sampling control strategy based on the model, and studies various types of recent financial risks. Based on the early warning research, based on the associative memory neural network method, we propose to reconstruct the risk categories, including improving the enterprise risk management system, enhancing the awareness of financial risk management from top to bottom, and strengthening the core competitiveness of the enterprise itself and control measures for financing, investment, operation, and cash flow risks.
MiR-145-5p Inhibits the Invasion of Prostate Cancer and Induces Apoptosis by Inhibiting WIP1
Authors: Sun Jianming , Deng Linggang , Gong Ye
Published: December 2021

Prostate cancer (PCa) is a common malignant tumor of the male genitourinary system that seriously affects the quality of life of patients. Studying the pathogenesis and therapeutic targets of PCa is important. In this study, we investigated the role of miR-145-5p in PCa and its potential molecular mechanisms. The expression levels of miR-145-5p in PCa tissues and adjacent control tissues were detected by real-time quantitative polymerase chain reaction. The effects of miR-145-5p overexpression on PCa were studied using cell proliferation, migration, and invasion experiments. Furthermore, WIP1 was the target gene of miR-145-5p through the bioinformatics website and dual-luciferase reporter gene experiment. Further studies found that WIP1 downregulation could inhibit the proliferation, invasion, and cloning of PCa cells. Overexpression of WIP1 reversed the anticancer effects of miR-145. The anticancer effect of miR-145 was achieved by inhibiting the PI3K/AKT signaling pathway and upregulating ChK2 and p-p38MAPK. Taken together, these results confirmed that miR-145-5p inhibited the growth and metastasis of PCa cells by inhibiting the expression of proto-oncogene WIP1, thereby playing a role in tumor suppression in PCa and may become a potential therapeutic target for the treatment of PCa.
Effect of Curcumin on Diabetic Kidney Disease: A Systematic Review and Meta-Analysis of Randomized, Double-Blind, Placebo-Controlled Clinical Trials
Authors: Jie Zhao , Chao Mo , Jun Ai , Wei Shi , LiFeng Meng
Published: December 2021

Background. Curcumin, a polyphenolic constituent from Curcuma longa, possesses antioxidant, hypolipidemic, and antidiabetic properties and has been reported to protect against diabetic kidney disease (DKD); however, the effect is inconsistent. Objective. This systematic review and meta-analysis aimed to investigate the effect of curcumin supplementation on renal function, lipid profile, blood pressure, and glycemic control in DKD. Methods. A systematic and comprehensive literature search of interrelated randomized controlled trials (RCTs) was conducted in PubMed, Embase, Cochrane Library, Web of Science, Scopus, and ClinicalTrials.gov from inception to July 30, 2021. Two investigators independently extracted data and assessed the risk of bias. Weighted mean differences (WMDs) with 95% confidence intervals (CIs) were calculated to describe the effect sizes using a fixed-effect model. Statistical analysis was performed using STATA 14.0 and RevMan 5.3. Results. Five RCTs involving 290 participants with DKD were included. Curcumin supplementation significantly improved the serum creatinine (WMD: −0.16 mg/dL, 95% CI: −0.3 to −0.02,P = 0.029, I2 = 0%, moderate certainty), total cholesterol (WMD: −10.13 mg/dL, 95% CI: −17.84 to −2.14,P = 0.01, I2 = 0%, moderate certainty), systolic blood pressure (WMD: 3.94 mmHg, 95% CI: 1.86 to 6.01,P < 0.01, I2 = 33.5%, moderate certainty), and fasting blood glucose (WMD: −8.29 mg/dL, 95% CI: −15.19 to −1.39,P = 0.019, I2 = 43.7%, moderate certainty) levels; however, it had no significant effects on blood urea nitrogen, proteinuria, triglyceride, low-density lipoprotein-cholesterol, high-density lipoprotein-cholesterol, and diastolic blood pressure levels. Conclusions. Curcumin may provide great potential effects against DKD. More large-scale and high-quality RCTs are required to confirm these findings.
Research on the Impact of mHealth Apps on the Primary Healthcare Professionals in Patient Care
Authors: Al-Azzam Majed Kamel
Published: December 2021

The goal of this study was to develop and use a questionnaire in order to analyse the effects of eHealth apps on patient care using Jordanian population. A two-stage cross-sectional research was conducted. A questionnaire was developed in the beginning to evaluate its consistency and legitimacy using Cronbach’s alpha coefficient, a multitrait connection atmosphere; the multivariate technique is component examination. In the study’s another phase, correlation and regression are used to determine the influence of eHealth apps on patient care. The five major axes of the final surveys were healthcare efficiency, teaching, notices, consultation, and follow-up. Individuals from diverse demographic aspects, such as gender, age, job experience, and education level, have no differing perspectives on cell phone use in their amenities, according to a staff’s viewpoint evaluation. In general, mobile health applications had a good influence on health services and healthcare, which would be an important setting for the operative use of mobile headphones in public policy; such a background would affect in workers’ intents to practice and adopt mHealth.
Mission Planning of GEO Active Debris Removal Based on Revolver Mode
Authors: Zhao Yong , Cao Yi , Chen Yang , Chen Zhijun , Bai Yuzhu
Published: December 2021

The mission planning of active debris removal (ADR) of revolver mode on geosynchronous orbit (GEO) is studied in this paper. It is assumed that there are one service satellite, one space depot, and some pieces of space debris in the ADR mission. The service satellite firstly rendezvouses with the debris and then releases the thruster deorbit kits (TDKs), which are carried with the satellite, to push the debris to the graveyard orbit. Space depot will provide replenishment for the service satellite. The purpose of this mission planning is to optimize the ADR sequence of the service satellite, which represents the chronological order, in which the service satellite approaches different debris. In this paper, the mission cost will be stated firstly, and then a mathematical optimization model is proposed. ADR sequence and orbital transfer time are used as designed variables, whereas the fuel consumption in the whole mission is regarded as objective for optimizing, and a specific number of TDKs is also a new constraint. Then, two-level optimization is proposed to solve the mission planning problem, which is low-level for finding optimal transfer orbit using accelerated particle swarm optimization (APSO) algorithm and up-level for finding best mission sequence using immune genetic (IGA) algorithm. Numerical simulations are carried out to demonstrate the effectiveness of the model and the optimization method. Results show that TDK number influences the fuel consumption through impacting the replenishing frequency and TDK redundancy. To reduce fuel consumption, the TDK number should be optimized and designed with suitable replenishing frequency and minimum TDK redundancy.
Analysis of Sports Knee Fractures Based on X-Ray and Computed Tomography Imaging
Authors: Cui Bo , Liu Yan , Chen Shuxiang
Published: December 2021

Objective. To analyse the X-ray and computed tomography (CT) findings of 128 patients with sports-related knee fractures and to improve the diagnosis rate based on the existing methods of diagnosis of sports knee fractures on X-ray and CT images. Method. In this study, we retrospectively analyse the medical records of 128 cases of sports-related fractures in the hospital, analyse the results of X-ray examination and CT imaging of patients with sports knee fractures, and compare the results obtained by the two examination methods, while referring to MRI images performed. Results. CT examination of knee fractures, tibial plateau fractures, and knee joint free body results were compared with X-ray results (

P
<
0.05

), while CT examination of patella fractures and X-ray results were compared. The difference was not statistically significant (

P
>
0.05

). Conclusion. For imaging examination of knee fractures, a single ordinary X-ray or CT scan should be selected according to the specific situation of the patient. For patients with suspected unstable fractures, when the patient’s informed consent and the condition are not allowed, ordinary X-ray film combined with CT examination is used to improve the accuracy of diagnosis and avoid the existence of hidden fractures, resulting in medical accidents.
Modulation and Signal Detection for Diffusive-Drift Molecular Communication with a Mobile Receiver
Authors: Liao Xuening , Jia Zhen , Wu Zhenqiang , Liu Bo , Wang Xinlei , Jiang Xiaohong
Published: December 2021

Molecular communication (MC), which allows nanomachines to communicate with each other by using chemical molecules, is considered to be a promising method for communications in liquid environment. Available works on MC mainly focus on modulation and signal detection schemes for MC systems with fixed nanomachines, i.e., fixed molecular communication (FMC) systems. However, the more complex systems with mobile nanomachines (i.e., mobile molecular communication (MMC) systems) have been largely unexplored. This paper considers a MMC system with a fixed transmitter and a mobile receiver communicating over diffusive-drift channels of a limited boundary. We first propose a new modulation scheme to address the issue of misalignment in the signal detection of MMC systems by adopting three types of molecules in the signal modulation and modulating the transmitted signals into blocks with equal length to avoid the transferring of a signal error in the current block on the signal detection in other blocks. We then propose a new signal detection scheme of the MMC systems by calculating the distance between the transmitter and the receiver based on a distance prediction method and detecting signals at the receiver based on the decided adaptive concentration threshold in each time interval. To verify the efficiency of our proposed scheme, we then conducted extensive simulations by the Monte Carlo simulation, and comparisons are also made among our proposed schemes, a well-known fixed threshold signal detection scheme, the CATD scheme, the PAD scheme, and a low complexity signal detection scheme for MMC systems in terms of the BER (bit error rate). Results show that our proposed schemes can outperform these schemes regarding the BER.
Ultrasonic Imaging of Carotid Inflammatory Plaque with Superparamagnetic Nanoparticles
Authors: Li Wei , Wu Jiang , Guo Mingjin , Shang Jing
Published: December 2021

Chronic inflammation can stimulate the formation and progression of atherosclerotic plaques and increase the vulnerability of plaques. However, there are few studies on the changes of carotid inflammatory plaques during treatment. Our study attempted to investigate the use of superparamagnetic iron oxide nanoparticle (SPION) ultrasound imaging to detect the expression of vascular cell adhesion molecule-1 (VCAM-1) in patients with carotid plaques and analyze the effects of SPION ultrasound imaging in inflammatory plaque visualization effect. SPION microbubble contrast agents have good imaging effects both in vivo and in vitro. We conjugated the VCAM-1 protein to the microbubbles wrapped in SPIONs to form SPIONs carrying VCAM-1 antibodies. Observe the signal intensity of SPIONs carrying VCAM-1 antibody to arteritis plaque. The results showed that the SPION contrast agent carrying VCAM-1 antibody had higher peak gray-scale video intensity than the other two groups of contrast agents not carrying VCAM-1 antibody. It shows that SPIONs have excellent imaging effects in ultrasound imaging, can evaluate the inflammatory response of arterial plaque lesions, and are of great significance for the study of carotid inflammatory plaque changes.
Application of E‐Commerce Interactive Marketing Model Based on Distributed Algorithm of Mobile Ad Hoc Network
Authors: Jiang Xuehui
Published: December 2021

With the development of the mobile Internet, e‐commerce has become one of the important ways of daily consumption, but how to effectively use e‐commerce for interactive marketing and increase sales is an important research direction. Mobile ad hoc distributed algorithms are introduced in this paper. Through sorting out the mode of e‐commerce interaction influence, process marketing is performed from two‐dimensional code, short message, business district, mobile search, Bluetooth, wireless network, and other methods, and interactive marketing is tried in various industries such as education, tourism, agriculture, catering, finance, and publishing, and simulation experiments are used to verify them. The simulation experiment results show that the mobile ad hoc distributed algorithms are effective and can support the e‐commerce interactive marketing model.
Harnessing Mitochondrial Mutations to ATAC Clonal Evolution in CLL
Authors: Hilton Laura K. , Scott David W.
Published: December 2021

In this issue of Cancer Discovery, Penter and colleagues describe the results of applying the recently described technology of combined assay for transposase-accessible chromatin using sequencing and mitochondrial DNA sequencing in single cells from serial samples from nine patients with chronic lymphocytic leukemia. The naturally occurring barcodes, provided by mitochondrial DNA mutations, allowed tracking of subclones with distinct chromatin accessibility profiles and copy-number alterations demonstrating distinct patterns of tumor evolution under a range of selection pressures.

See related article by Penter et al., p. 3048.
Virulence, agr groups, antimicrobial resistance and epidemiology of Staphylococcus aureus isolated from bovine subclinical mastitis
Authors: Zorzi Felipe Mendes , Zafalon Luiz Francisco , Santos Franklin Bispo , Borges Arthur Ferreira , Nascimento Ticiano Gomes , Basílio-Júnior Irinaldo Diniz , Mamizuka Elsa Masae , Almeida Lara Mendes
Published: December 2021

Fifty-two Staphylococcus aureus recovered from papillary ostium and milk samples collected from cows with subclinical mastitis and milking environments in three small dairy herds located in southeastern Brazil were subjected to PCR identification based on the thermonuclease (nuc) gene. All the strains were submitted to in vitro antimicrobial susceptibility testing, and we investigated the sequence types (STs), agr groups (I-IV), virulence genes encoding for Microbial Surface Components Recognizing Adhesive Matrix Molecules (MSCRAMMs), biofilm-associated proteins, bi-component toxins, pyrogenic toxin superantigens, and enterotoxins. Screening for oxacillin resistance (2-6 μg/ml oxacillin), beta-lactamase activity assays, and PCR for the mecA/mecC genes detected 26 methicillin-susceptible S. aureus (MSSA) and 26 mec-independent oxacillin-nonsusceptible S. aureus (MIONSA). While MSSA isolates were found to be susceptible to all antimicrobial agents tested, or only resistant to penicillin and ampicillin, MIONSA isolates were multidrug-resistant. ST126-agr group II MSSA isolates were prevalent in milk (n=14) and carried a broad set of virulence genes (clfA, clfB, eno, fnbA, fiB, icaA, icaD, lukED, hla, and hlb), as well as the ST126-agr group II MIONSA isolated from milking liners (n=1), which also carried the eta gene. ST1-agr group III MIONSA isolates (n=4) were found in papillary ostium and milk, but most MIONSA isolates (n=21), which were identified in both papillary ostium and milking liners, were agr-negative and assigned to ST126. The agr-negative and agr group III lineages showed a low potential for virulence. Studies on the characterization of bovine-associated MSSA/MIONSA are essential to reduce S. aureus mastitis to prevent economic losses in dairy production and also to monitor the zoonotic potential of these pathogens associated with invasive infections and treatment failures in healthcare.
Mythologies barthésiennes: différents stéréotypes et imagotypes
Authors: Simões Maria João
Published: December 2021

Roland Barthes, dans son œuvre Mythologies, interprète les signes de la société de son temps, surchargée de discours et d’images dont il faut comprendre la signification. Par ce biais, R. Barthes scrute les stéréotypes et les types sociaux. L’étude des stéréotypes se révèle importante pour comprendre la catégorisation stéréotypique étudiée par la Psychologie Sociale et l’Imagologie pour étudier la complexité des représentations littéraires. Cette étude vise à percevoir, dans un premier temps, certains aspects des représentations et des catégorisations culturelles ; dans un deuxième temps, nous noterons la reprise de la théorisation barthésienne par Stuart Hall dans ses réflexions sur les représentations culturelles et leur potentiel symbolique, essentiel au partage culturel. Dans un troisième temps nous examinerons comment la pratique interprétative, déclenchée dans Mythologies, se répercute sur les études imagologiques, en particulier, sur les auto-images nationales (imagèmes) véhiculée dans l’œuvre Nacional e Transmissível d´Eduardo Prado Coelho.
Entradas, disponibilidades luminosas: o luto como trabalho em Roland Barthes
Authors: Costa Cristiano Bedin da , Oliveira Marcos da Rocha
Published: December 2021

O trabalho do texto consiste em afirmar a potência do isolamento barthesiano hoje. O luto, afeto vivo e presente, será o princípio que unifica a docência, a escrita e a vida: no último Roland Barthes, em nós. Aulas, datas, imagens e um arquivo de leituras translúcidas lancinadas por feixes de luz a demandarem uma atualização das formas em um corpo que escreve. Não há nada a superar, visto que a dor é ocasião. Escrevemos a fantasia de tal solidão tendo o texto barthesiano, a docência que praticamos e, como oximoro, o nosso viver-junto enquanto potencial ativo de uma Vita Nova. Assim, dispomos quatro precisões: o luto se manifesta pelo e no trabalho, como a marca a animar a produção presente; atualizado em uma aula, o luto harmoniza o afeto da perda e a criação didática: não poder desenvolver, não poder sustentar, não poder impor; o luto só pode ser experimentado de modo instantâneo: surpreende como experiência inaugural e, portanto, potencialmente mutativa (o insustentável como condição); e o luto permite apenas sua vivência (traduzida, inocentemente, em prática), jamais seu domínio. Lecionar, escrever, pesquisar, viver como se um Amador. Disponibilidades luminosas à beira-fôlego: entrar vivo na morte. É disso que se trata.
As palavras dançantes de Barthes
Authors: Nojiri Julia Bunemer
Published: December 2021

Profundamente tocado pelos escritos do filósofo que declarou a morte de Deus, Barthes analogamente declara a morte do autor; dada a impossibilidade de conhecimento claro e distinto, a exposição de sua contra teoria do texto deve ser condizente: fragmentada e exposta através de metáfora. Assim, este artigo tem por mote abrir caminho para uma aproximação entre a dança e a escritura de Barthes, mostrando-se a necessidade de um estilo de exposição em que conceitos são metaforizados e articulados para se movimentar, impulsionados pelo que se afirma no lugar da ciência: o prazer. Para tanto, será revista a influência de Nietzsche sobre Barthes, de modo a evidenciar a necessidade de uma tal escrita, que culminará em O prazer do texto barthesiano, marco na vida escritural de Barthes em que teoria e sensualidade se confundem, como aqui se quer mostrar.