bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Real-Time Early Warning Algorithm of Environmental Risk of Air Pollutants Based on Computer Simulation Technology
Authors: Rao Yongcai , Feng Chunli
Published: June 2022

In order to monitor the air pollutants in the living environment in real time, the computer simulation technology is used to monitor the air pollutants, and the weighted algorithm is used to warn the pollutants exceeding a certain content, so as to facilitate the air quality control. Air is an essential element for everyone’s survival. With the development of manufacturing industry, air quality has deteriorated sharply, which has a certain impact on human ecological environment and does harm to residents’ health. When more and more attention is paid to environmental problems, the state has issued corresponding measures to monitor air quality and formulate air quality indicators. Once an element in the air is found to exceed the standard, an alarm will be issued, which is convenient for management and detection. This study analyzes the risk early warning algorithm of pollutants in the air through computer simulation technology to realize the management of air quality. Lay the foundation for human living environment in the future.
Incidence and Risk Factors for Surgical Site Infection after Femoral Neck Fracture Surgery: An Observational Cohort Study of 2218 Patients
Authors: Zhang Kexin , Tian Yunxu , Zhao Yan , Tian Miao , Li Xiuting , Zhu Yanbin
Published: June 2022

Background. Surgical site infection (SSI) was a formidable challenge for surgical management of femoral neck fractures; however, there was a lack of studies with comprehensive variables. We conducted this study to investigate the incidence and risk factors of SSI in elderly patients with femoral neck fractures. Methods. This was a retrospective study of patients who presented with femoral neck fractures and underwent surgery in our institution between January 2016 and April 2020. All data were collected from a previously validated database. Patients were divided into SSI and non‐SSI groups. Univariate and multivariate logistic regression analyses were conducted to identify the risk factors for SSI. Results. A total of 2218 patients with femoral neck fractures were enrolled in the study, of whom 22 (1%) developed SSI, including 15 (0.7%) superficial and 7 (0.3%) deep SSIs. After multivariable adjustment for confounding factors, patients with and without SSI significantly differ in terms of gender, prolonged time to surgery, CHE < 5 U/L, and injury mechanism. Conclusions. Our results were helpful for stratification of SSI risk and improved management of hip fracture. Clinicians should be alert to patients with these factors and improve modifiable factors such as preoperative waiting time.
Pricing Strategy and Simulation of Forest Rights Exchange Centers Based on the Two-Sided Market Theory
Authors: Lin Junjie , Zhang Qun , Wei Yuanzhu
Published: June 2022

There is considerable room to develop an appropriate pricing mechanism for the forest rights transactions in China. In order to solve collective forest rights transactions, this study evaluated the pricing strategy of a forest rights exchange center. Based on the two-sided market theory, the pricing model of a forest rights exchange center was constructed and the price structure that maximizes profit and social welfare was discussed. In addition, the rationality of the theoretical derivation was verified through numerical simulation. The results show that several factors affected the pricing strategy of a forest rights exchange center in a two-sided market, including service level, as well as intragroup externality and cross-network externality. First, according to the different externalities of the cross-network between the two parties, a forest rights exchange center can introduce price preference and subsidy mechanisms to maximize the benefits of the supply and demand. Second, the government should encourage the establishment of trading alliances among village communities to reduce the scale of supply and demand and competition among them. Third, several measures should be made to improve the service level of a forest rights exchange center. Furthermore, it is very important to establish and perfect the two-sided market for forest rights transactions under the current policy conditions. Forest rights exchange centers should formulate differentiated pricing strategies to standardize the management of the forest rights exchange market.
Providing a Consistent Method to Model the Behavior and Modelling Intrusion Detection Using A Hybrid Particle Swarm Optimization-Logistic Regression Algorithm
Authors: Ajdani Mahdi , Noori Azad , Ghaffary Hamidreza
Published: June 2022

An intrusion detection system is a collection of instruments, methods, and documentation that aid in identifying, determining, and reporting unwanted or illegal network activity. Intrusion detection systems are built as software and hardware systems, each with its own set of benefits and drawbacks. Because of the intrusion detection system’s nonlinearity and nonstationary, the correctness of traditional methods, such as regression analysis and neural networks, was limited. In this research, a regression-based prediction model is proposed to handle an intrusion detection behavior problem. To develop an effective regression model, the parameters must be carefully adjusted. This present research introduces a hybrid methodology called real-value particle swarm optimization (RPSO) algorithm regression, which uses real-value particle swarm optimization algorithms to find the optimal parameters. Then, it uses the best parameters to build the regression models. The method is used to forecast the data related to an intrusion detection behavior from the VirusTotal dataset. Due to the root mean square error (RMSE) 0.0234 and the mean absolute percentage error (MAE) 1.845, the experimental results show that RPSO performs best the standard regression and backpropagation (BP) neural network models (MAPE). It was proved that the RPSO model is a practical method to recognize the behavior of the intrusion detection system feature.
Use and Trends of Diabetes Self-Management Technologies: A Correlation-Based Study
Authors: Fontecha Jesús , González Iván , Barragán Alfonso , Lim Theodore
Published: June 2022

Applications and systems for diabetes self-management are growing and involve a vast majority of factors to consider. This study was aimed at examining the integration of portable technologies for diabetes self-management, as well as benefits and issues arising of its use. From a web-based study on several groups of people with diabetes, most of them accustomed to the daily use of devices and applications for self-control, a deeper analysis based on correlations and inference was conducted considering information about the disease, technology knowledge and devices handling, use of technologies for diabetes control and management, and training with devices from a clinical and educational viewpoint. In this study, more than 70% of participants use Continuous Glucose Systems and additional devices (41.85% also use insulin pumps) which impacts positively on the knowledge of incoming technologies. The “easy to use” factor of current apps for diabetes self-management is the most valuable feature. Also, 88.98% of participants did not use gamification-based methods during the initial training sessions, although gamification is a useful technique in learning stages. An inference analysis shows how specific characteristics of diabetes devices and apps should improve. On the basis of the results, we discuss about benefits, shortcomings, and the state of these technologies and patient needs for the future.
A Fuzzy Multi-Criteria Evaluation Model for the Coordination of Industrial Agglomeration and Regional Economic Growth
Authors: Song Jingjing
Published: June 2022

The coordinated development between industrial agglomeration and regional economic growth is of great significance. Based on the theory, this article constructs a fuzzy multi-criteria evaluation model for the coordination of industrial agglomeration and regional economic growth. The model reveals the impact of industrial agglomeration on economic growth by establishing a regression model. The output value of the secondary industry and the tertiary industry are classified, and the initial value method is used for dimensionless processing. The experimental results show that using the panel unit root test, panel cointegration test, panel regression analysis, and gray correlation analysis to conduct empirical analysis and research, the capital agglomeration and labor agglomeration in regional industries both promote economic growth, and the correlation degree of sustainable agglomeration components reached 89.7%, which significantly and indirectly played a role in promoting the coordinated development of economic growth in regional economic growth.
Similarities and Differences in Bone Mineral Density between Multiple Sites in the Same Individual: An Elderly Cadaveric Study
Authors: Nishi Keita , Endo Daisuke , Hasegawa Takashi , Moriuchi Takefumi , Ogami-Takamura Keiko , Saiki Kazunobu , Murai Kiyohito , Higashi Toshio , Tsurumoto Toshiyuki , Manabe Yoshitaka , Oyamada Joichi
Published: June 2022

Bone mineral density (BMD) is known to vary based on various factors, and the degree of variation is site‐specific. However, few studies have investigated the relationship between bone density at trabecular bone‐rich and cortical bone‐rich sites in the same individual. In this study, we attempted to measure BMD at multiple sites using whole‐body computed tomography images taken immediately after death and to clarify the similarities and differences between skeletal sites. Additionally, we aimed to examine the factors that influence changes in BMD, such as the loading environment, bone microstructure, and the ossification process of each skeletal region. A 3D model containing BMD data of the skull, clavicle, lumbar vertebrae, and femur (neck and diaphysis) was created using computed tomography images taken immediately after the death of 60 individuals (28 men and 32 women, average age: 84.0 years) who consented to participate in the study before death. Arbitrary measurement sites were defined, and bone density was measured at each site. We found that the BMDs of all regions were negatively correlated with age, but this correlation was weaker in the skull than in other regions. The negative correlation was especially pronounced in areas with more trabecular bones in men and in areas with more cortical bones in women. Furthermore, these findings suggest that factors, such as the loading environment, bone microstructure, and the ossification process of the skeletal sites, affect the BMD. Furthermore, our results suggest that it is important to assess the BMD of cortical bone in older women.
Characteristics of Anterior Segment in Congenital Ectopia Lentis: An SS-OCT Study
Authors: Qi Haotian , Jin Guangming , Zou Minjie , Young Charlotte , Liu Liyan , Lian Zhangkai , Guo Dongwei , Liu Zhenzhen , Zheng Danying
Published: June 2022

Purpose. To investigate the characteristics of anterior chamber angle parameters in congenital ectopia lentis (CEL) patients and to evaluate the sensitivity and specificity of anterior segment parameters in distinguishing CEL from healthy controls. Setting. Zhongshan Ophthalmic Center, Guangzhou, China. Design. Cross-sectional study. Methods. 35 CEL patients and 35 age- and sex-matched healthy controls were recruited. Axial length (AL) and anterior segment parameters including anterior chamber width (ACW), angle open distance (AOD), angle recess area (ARA), trabecular-iris space area (TISA), and trabecular-iris angle (TIA) were measured. All the above parameters and the ratio index of angle parameters, which was defined as the angle parameter value of the narrower side to that of the contralateral side, were compared between CEL and controls. Receiver operating characteristic (ROC) curves were also plotted to evaluate the diagnostic performance of anterior chamber angle parameters in CEL patients. Results. All angle parameters of the contralateral side to the dislocated lens side were significantly smaller than those of the dislocated lens side in CEL (all

P
<
0.05

). For the diagnostic performance of anterior chamber angle parameters, the ratio index of TIAr500 combined with TIAr750 had the best diagnostic performance for CEL screening (AUC = 0.798), and TIAr500 of 0.887 and TIAr750 of 0.917 were detected to be the optimal cut-off points, representing a sensitivity of 89.8% and specificity of 68.7%. Conclusion. The contralateral side to the dislocated lens side in the CEL had a narrower anterior chamber angle. TIAr500 combined with TIAr750 is the optimal combination strategy for ectopia lentis screening.
Cloud Computing and Networking for SmartFarm AgriTech
Authors: Rathod Meenakshi L. , Shivaputra A. , Umadevi H. , Nagamani K. , Periyasamy Selvakumar
Published: June 2022

In this paper, the implementation of SmartFarm AgriTech is done using IoT and cloud computing. The current world population is 7.9 billion and supposed to reach 12 billion by 2050, and it is difficult to feed such population in the future. So, for feeding the entire population, the agriculture sector should be embedded with the latest technologies. People living in urban city will be covered with their work and day to day activities which makes it really difficult to travel the village and monitor their cultivation regularly. Without proper maintenance of farms, it is hard to get the desired results, so using the cloud computing, IOT, networking, and many other technologies, one can easily maintain and monitor the crops, weather, water, and spraying fertilizers whenever needed. This SmartFarm AgriTech System is designed using Raspberry Pi and Arduino as the main microcontrollers to control the various sensors, relay‐switch, and motor. AWS and ThingSpeak are used to create server and APIs to collect and store the data through Internet or via a Local Area Network (LAN). In addition to that, a GUI (Graphical User Interface) application is also created to control and monitor the data coming from Raspberry Pi and Arduino board.
Node Localization Algorithm Based on Modified Archimedes Optimization Algorithm in Wireless Sensor Networks
Authors: Cheng Mangmang , Qin Tao , Yang Jing
Published: June 2022

Node localization information plays an important role in wireless sensor networks (WSNs). To solve the problem of low localization accuracy of distance vector hop (DV-Hop) localization algorithm in wireless sensor networks, an improved localization algorithm called MAOADV-Hop based on the modified Archimedes optimization algorithm (MAOA) and DV-Hop is proposed, which can achieve the balance between the localization speed and the localization precision. Firstly, tent chaotic mapping and particle swarm optimization (PSO) algorithm are introduced into Archimedes optimization algorithm to improve the initial population diversity and change the update rules of density and volume, which improve the global convergence ability and convergence speed of the algorithm. Secondly, the MAOA is used to replace the least square part of the DV-Hop localization algorithm to improve the localization accuracy of the algorithm. Finally, MAOADV-Hop is verified through four different network environments and compared with DE_DV-Hop, BOA_DV-Hop, and DV-Hop. The simulation results show that the localization speed of the proposed approach is faster than that of DE_DV-Hop and BOA_DV-Hop, and the localization error is less than that of DV-Hop, DE_DV-Hop, and BOA_DV-Hop.
Mathematical Model for Energy and Exergy-Based Simulation of Triangular Solar Energy Extractor for Air Heating Applications
Authors: Ramesh C. , Vijayakumar M. , Jeyanthi L. , Rupesh P. L. , Kanchana A. , Jyothi Sankar P. R. , Sajith V. S. , Munjal Neha , Birhanu Habtewolde Ababu
Published: June 2022

In the present work, the thermal and exergy efficiency of the equilateral triangular duct solar air heater is analytically investigated and its performance is improved by attaching an inclined wire rib over the absorber surface. Using triangular ducts improves the operating flow conditions up to the Reynolds number of 35000. The thermal model of solar air heater is solved by using an iterative procedure by code developed in MATLAB. The analysis considers the roughness parameters that roughness pitch (P)-to-height (e) ratio (P/e) of 4 to 16, roughness height (e)-to-hydraulic diameter (Dh) ratio (e/Dh) of 0.021 to 0.043, and rib inclination angle (α) of 30 to 75°. While increasing the Reynolds number from 2000 to 35000, the inclined rib roughened triangular duct solar air heater thermal performance is increased and attains the maximum value of 83.61% and the effective thermal efficiency of 80.26%. The maximum exergy efficiency of 2.62% is obtained at the Reynolds number value of 1864. It improves the thermal performance by 14.2% as compared with the rectangular rib roughened triangular duct solar air heater. The optimum value of roughness parameters is P/e of 12, e/D of 0.042, and α of 75°. The air heater is useable to attain the temperature rise parameter ranges from 0.001 to 0.03 K·m2/W.
Influence of Propagation Distance on Characteristic Parameters of Acoustic Emission Signals in Concrete Materials Based on Low‐Frequency Sensor
Authors: Liu Fen , Guo Rui , Lin Xiujuan , Zhang Xiaofang , Huang Shifeng , Yang Feng , Cheng Xin
Published: June 2022

Acoustic emission is a nondestructive testing technology based on the propagation of transient elastic waves captured by acoustic emission sensors. The acoustic emission signal depends not only on the distance and quality of the propagation path of the transient elastic wave but also on the sensitivity and frequency bandwidth of the receiving sensor that converts the transient elastic wave into a voltage signal. The frequency range of damage signals in concrete materials is generally in the low‐frequency band. If high‐frequency sensors are used, the low sensitivity to low‐frequency signals will cause measurement errors, while the bandwidth of general commercial acoustic emission sensors is relatively narrow. Therefore, a high‐sensitivity, low‐frequency acoustic emission sensor is proposed, whose bandwidth is almost four times that of commercial sensors. Based on the customized sensor, we quantitatively analyzed the influence of propagation distance on the characteristic parameters of acoustic waves propagating in concrete. The results show that the different propagation modes of acoustic waves in concrete have different attenuation with the propagation distance, related to the position relationship between the acoustic source and the sensor and the propagation path and path quality. This result gives us a better understanding of the propagation mechanism of acoustic emission signals in concrete materials.
Network Pharmacology and Molecular Docking Analysis of the Mechanism Underlying Yikunyin’s Therapeutic Effect on Menopausal Syndrome
Authors: Tan Xin , Du Yan-Ping , Luo Qian , Zhan Xue-Bing , Kuang Yun-Shu , Liang Xiao , Zhang Yun , Wang Lin , Chen Bing , Wen Ming
Published: June 2022

Objective. Yikunyin is an empirical prescription that exhibits good efficacy in the clinical treatment of menopausal syndrome; however, its underlying mechanism remains unclear. This study investigates the mechanism implicated in the therapeutic effect of Yikunyin by identifying its hub genes, central pathways, and key active ingredients. Method. The active ingredients and targets of Yikunyin were obtained from the Traditional Chinese Medicine Systems Pharmacology database, whereas the targets related to menopausal syndrome were obtained from GeneCards, PharmGKB, Therapeutic Target Database (TTD), and Comparative Toxicogenomics Database (CTD). To reveal the pharmacological mechanism, the component-target and the intersecting protein-protein interaction (PPI) networks were constructed, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. Finally, molecular docking was carried out to assess the strength of binding between the key active ingredients and key targets. Results. A total of 418 targets and 121 active ingredients were identified in Yikunyin. The intersection of Yikunyin’s 418 targets with the 2822 targets related to menopausal syndrome shows that there are 247 common targets that can be considered potential targets of Yikunyin in the treatment of menopausal syndrome. The topology analysis of the constructed PPI network conducted using the Cytoscape software shows that there are 15 hub genes implicated in the therapeutic effect of Yikunyin: AKT1, PRKCA, TLR9, CXCL10, PRKCD, PARP1, ABCB1, TP53, CAV1, MAPK8, PPARA, GRB2, EGFR, IL-6, and JAK2. Moreover, the key active components acting on these genes are paeoniflorin, luteolin, quercetin, beta-sitosterol, and kaempferol. GO and KEGG analyses indicate that Yikunyin can treat menopausal syndrome by regulating cellular response to chemical stress (GO:0062197), cellular response to oxidative stress (GO:0034599), phosphatase binding (GO:0019902), cytokine receptor binding (GO:0005126), PI3K-Akt signaling (hsa04151), lipid and atherosclerosis (hsa05417), and hepatitis B (hsa05161). Finally, the results of molecular docking suggest that the key active ingredients and key targets can bind well, with binding energies of less than −5 kJ/mol. Conclusion. The research conducted herein reveals that Yikunyin treats menopausal syndrome by targeting AKT1 and IL-6 and by regulating the PI3K-Akt signaling pathway. Moreover, it provides a new idea for understanding the therapeutic effects of traditional Chinese medicines.
Smart Product Marketing Strategy in a Cloud Service Wireless Network Based on SWOT Analysis
Authors: Lv Hua
Published: June 2022

Wireless network systems have multiplied, and mobile communication systems have grown. This article is aimed at developing a cloud-based service wireless network system to smartly market products online. It makes use of cloud services combined with various technologies of the wireless network system. An intelligent product is a device connected to the Internet via sharing information with its users. The usage of smart products has increased day by day, resulting in increased production numbers by various companies. Here, Arises a problem of marketing among huge competition all the manufactured products. So, a marketing strategy has to be designed to market the products. This marketing task can be done using cloud computing services. Cloud computing refers to accessing various computing applications online, such as storing and accessing data, servers, software, databases, and networking. Users can store and access data from a remote server, and there is no need to store it on one’s computer hard disc. Large clouds have data centers located at various locations. Data and computing services are available on-demand, whenever they are needed. With the help of a SWOT analysis, this article will investigate smart product marketing strategies in cloud service wireless network systems. The advantages and disadvantages of using the cloud service wireless network system are analyzed based on SWOT analysis. A technically detailed analysis is done by identifying its strengths (S), weaknesses (W), opportunities (O), and threats (T), considering various aspects. In this research, smart product marketing analysis with SWOT is performed to implement a novel hybrid algorithm with the Smart Product Marketing Crisis Prediction (SPMCP) method. For the Smart Product Marketing application, the proposed method is compared with the Ant Colony Optimization (ACO) and has obtained a higher accuracy of 99.54%.
Aging Law and Life Evaluation Model of Cable Insulation Based on WOA-SVR
Authors: Li Lei , Ma Xianmin , Guo Wei
Published: June 2022

Cables are mainly composed of wires and are used to transmit signals or electrical energy. It can be seen everywhere in real life. However, due to the changeable environment in which it is located, it often leads to the problem of insulation aging. Therefore, it is particularly important to study the law of cable insulation aging and to evaluate its life. Humpback whale hunting behavior is simulated by WOA, a swarming intelligence algorithm. It can intelligently identify the relationship between various data. SVR is a linear regression model with a special computational loss. The aim of this paper is to investigate a WOA-SVR model to evaluate the aging law and life of cable insulation. This paper analyzes a variety of detection models. Finally, the partial discharge detection model and the depolarization detection model are selected for comparative testing with the WOA-SVR model studied in this paper. The test method is to count the aging of cable insulation under different temperature, humidity, and electric field strength environments. The test results show that the evaluation accuracy of the WOA-SVR model in this paper is 92%, 97%, and 98%, respectively, under different temperatures, humidity, and electric field strengths. The average accuracy of its evaluation is higher than the other two models. Therefore, the WOA-SVR model is more accurate and reliable for the cable insulation aging law and life evaluation.
Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities
Authors: Bathla Gourav , Bhadane Kishor , Singh Rahul Kumar , Kumar Rajneesh , Aluvalu Rajanikanth , Krishnamurthi Rajalakshmi , Kumar Adarsh , Thakur R. N , Basheer Shakila
Published: June 2022

Intelligent Automation (IA) in automobiles combines robotic process automation and artificial intelligence, allowing digital transformation in autonomous vehicles. IA can completely replace humans with automation with better safety and intelligent movement of vehicles. This work surveys those recent methodologies and their comparative analysis, which use artificial intelligence, machine learning, and IoT in autonomous vehicles. With the shift from manual to automation, there is a need to understand risk mitigation technologies. Thus, this work surveys the safety standards and challenges associated with autonomous vehicles in context of object detection, cybersecurity, and V2X privacy. Additionally, the conceptual autonomous technology risks and benefits are listed to study the consideration of artificial intelligence as an essential factor in handling futuristic vehicles. Researchers and organizations are innovating efficient tools and frameworks for autonomous vehicles. In this survey, in-depth analysis of design techniques of intelligent tools and frameworks for AI and IoT-based autonomous vehicles was conducted. Furthermore, autonomous electric vehicle functionality is also covered with its applications. The real-life applications of autonomous truck, bus, car, shuttle, helicopter, rover, and underground vehicles in various countries and organizations are elaborated. Furthermore, the applications of autonomous vehicles in the supply chain management and manufacturing industry are included in this survey. The advancements in autonomous vehicles technology using machine learning, deep learning, reinforcement learning, statistical techniques, and IoT are presented with comparative analysis. The important future directions are offered in order to indicate areas of potential study that may be carried out in order to enhance autonomous cars in the future.
The Rise of Cloud Computing: Data Protection, Privacy, and Open Research Challenges—A Systematic Literature Review (SLR)
Authors: Hassan Junaid , Shehzad Danish , Habib Usman , Aftab Muhammad Umar , Ahmad Muhammad , Kuleev Ramil , Mazzara Manuel
Published: June 2022

Cloud computing is a long-standing dream of computing as a utility, where users can store their data remotely in the cloud to enjoy on-demand services and high-quality applications from a shared pool of configurable computing resources. Thus, the privacy and security of data are of utmost importance to all of its users regardless of the nature of the data being stored. In cloud computing environments, it is especially critical because data is stored in various locations, even around the world, and users do not have any physical access to their sensitive data. Therefore, we need certain data protection techniques to protect the sensitive data that is outsourced over the cloud. In this paper, we conduct a systematic literature review (SLR) to illustrate all the data protection techniques that protect sensitive data outsourced over cloud storage. Therefore, the main objective of this research is to synthesize, classify, and identify important studies in the field of study. Accordingly, an evidence-based approach is used in this study. Preliminary results are based on answers to four research questions. Out of 493 research articles, 52 studies were selected. 52 papers use different data protection techniques, which can be divided into two main categories, namely noncryptographic techniques and cryptographic techniques. Noncryptographic techniques consist of data splitting, data anonymization, and steganographic techniques, whereas cryptographic techniques consist of encryption, searchable encryption, homomorphic encryption, and signcryption. In this work, we compare all of these techniques in terms of data protection accuracy, overhead, and operations on masked data. Finally, we discuss the future research challenges facing the implementation of these techniques.
Sports Target Tracking and Speed Measurement Method Based on Time Domain Vision Sensor
Authors: Wang Minting , Duan Wei
Published: June 2022

Moving target tracking technology is an important topic in the field of time domain sensors, which is widely used in medical diagnosis, intelligent robots, human-computer interaction, education, and entertainment. This article is based on the time domain vision sensor to explore the methods of sports target tracking and speed measurement. The article introduces the regional gray-scale correlation matching method in the vision sensor algorithm, the noise model of the time domain vision sensor, and the method of eliminating noise. At the same time, the tracking effects of SIFT algorithm, Mean Shift algorithm, and MSO algorithm on moving targets are studied, analyzing the ANF algorithm, TSML algorithm, and IHTLS based on the time domain visual sensor to compare the TUD-Crossing test set, the ETHBAHNHOF test set, and the SMOT data set; then the image matching was purified and analyzed based on the time domain visual sensor. The research results show that, in the method of exploring moving target tracking based on time domain vision sensor, when the improved SIFT algorithm uses feature adaptive fusion to describe the target, it can automatically allocate the proportion of color features and texture features, which improves the accuracy and reliability of moving target tracking. Among them, the DNP algorithm can control the final accuracy rate above 80%, and its recall rate is basically greater than 80%. In the case that the accuracy of rough matching is less than 50%, the final matching accuracy after processing by multiple purification algorithms is above 98%.
Effect Evaluation of Cardiac Resynchronization Therapy in Elderly Patients with Heart Failure by Ultrasound Image under QuickOpt Algorithm
Authors: Hu Na , Yi Na , Yang Huiqiong
Published: June 2022

This research was aimed at analyzing the application value of echocardiography and QuickOpt algorithm in optimizing parameters of cardiac resynchronization therapy (CRT) in elderly patients with heart failure. 50 elderly patients who were diagnosed with chronic heart failure and underwent CRT were chosen as the research objects. According to the different optimization methods, the patients were divided into the echocardiography group and QuickOpt algorithm group, 25 cases in each group. The general data, optimized intervals, corresponding maximum aortic velocity time integrals (aVTIs), cardiac ultrasound indicators, and ventricular arrhythmia episodes of the patients in the two groups were analyzed. The results showed that there was no significant difference in the optimized sensed atrioventricular (SAV), paced atrioventricular (PAV), and ventricle to ventricle (VV) intervals and the corresponding aVTIs obtained by echocardiography and QuickOpt (

P
>
0.05

). The consistency analysis revealed that the aVTIs in the SAV, PAV, and VV intervals presented a good consistency (

P
<
0.01

), which were obtained by the echocardiography and QuickOpt functional optimization; the concordance correlation coefficient (CCC) in them was 96.16%, 98.03%, and 95.48%, respectively. The left ventricular ejection fraction (LVEF) showed an increasing trend over time in both groups, while the left ventricular end systolic volume (LVESV), left ventricular end diastolic volume (LVEDV), and morphological right ventricle (MRV) showed the downward trends over time, and the differences between two groups were not significant (

P
>
0.05

). For the premature ventricular contraction (PVC) of ventricular arrhythmia episodes, there was no significant difference between the two groups in log (PVCs) and log (PVC runs) (

P
>
0.05

). It was also found that both echocardiography and QuickOpt algorithm could improve the cardiac function of patients with heart failure significantly and reduce ventricular arrhythmia episodes and ventricular remodeling via optimized CRT; there was no difference in the improvement effect of the two optimization methods. However, echocardiography was inferior to QuickOpt algorithm in terms of time-consuming optimization in the intervals. This provided a reference for the clinical diagnosis and treatment of elderly patients with heart failure.
The Numerical Stimulation of Methane-Air Mixing Characteristics in Wellbore during the Air Jet Injection
Authors: Tao Zhixiang , Cai Chengzheng , Zou Zengxin , Yang Yugui , Feng Yinrong
Published: June 2022

At present, in situ blasting fracturing with formation methane is identified as an effective method for shale gas stimulation. In this paper, based on the in situ temperature and pressure conditions, a horizontal wellbore model filled with methane was established to simulate the methane-air mixing characteristics in wellbore during air jet. According to the distributions of the methane concentration and flow field characteristics, methane-air mixing inside the wellbore can be divided into three types: free diffusion mixing, turbulent pulsating mixing, and regenerated vortex mixing. Due to the limitation of fixed jet, the methane concentration beyond the jetting region changed little. In addition, the moving jet was used to realize the mixing of methane and oxidizer in wellbore. The sensitivity of different parameters to the distribution of the methane concentration in wellbore was discussed. The results showed that the methane concentration was more sensitive to the wellbore diameter and nozzle diameter. The moving velocity of nozzle was closely related to the distribution uniformity of the methane concentration in wellbore. The moving velocity of nozzle was selected as a single influence parameter to adjust the uniformity of methane distribution in the wellbore, to ensure that methane concentration was within the explosion limit.
The Power XLindley Distribution: Statistical Inference, Fuzzy Reliability, and COVID-19 Application
Authors: Meriem Bouhadjar , Gemeay Ahmed M. , Almetwally Ehab M. , Halim Zeghdoudi , Alshawarbeh Etaf , Abdulrahman Alanazi Talal , El-Raouf M. M. Abd , Hussam Eslam
Published: June 2022

The power XLindley (PXL) distribution is introduced in this study. It is a two-parameter distribution that extends the XLindley distribution established in this paper. Numerous statistical characteristics of the suggested model were determined analytically. The proposed model’s fuzzy dependability was statistically assessed. Numerous estimation techniques have been devised for the purpose of estimating the proposed model parameters. The behaviour of these factors was examined using randomly generated data and developed estimation approaches. The suggested model seems to be superior to its base model and other well-known and related models when applied to the COVID-19 data set.
A Systematic Review of Photolysis and Hydrolysis Degradation Modes, Degradation Mechanisms, and Identification Methods of Pesticides
Authors: Meng Xingang , Guo Yuanjun , Wang Yihui , Fan Shijun , Wang Kaiqi , Han Wenhua
Published: June 2022

The degradation modes and characteristics of different pesticides were introduced. In addition, this paper also describes the degradation mechanism of different pesticides, classifies, and summarizes the methods of degradation products identification. For the sake of human life health and better biological environment, we should have a familiar knowledge of the natural degradation of pesticides and understand the photo-hydrolysis and its influencing factors (temperature, pH, light, etc.). Through the degradation mechanism and influencing factors, the degradation time could be accelerated and it also provides a theoretical basis and basic support for the treatment of pesticide residues in the future.
All Glioblastoma Are Not Equal: Distinct Spatial Immune Profiles BetweenDe Novoand Recurrent Tumors
Authors: Bayik Defne , Lee Juyeun , Lathia Justin D.
Published: June 2022

Lack of insight into the immunosuppressive microenvironment of glioblastoma (GBM) hinders successful application of immunotherapy. In this issue, Alanio and colleagues identify a distinct T-cell localization profile between recurrent and de novo GBM highlighting the importance of spatial heterogeneity and providing new avenues to explore to improve GBM outcome.

See related article by Alanio et al., p. 800 (3).
Bioelectrical Impedance Vector Analysis and Brain Natriuretic Peptide in the Evaluation of Patients with Chronic Kidney Disease in Hemodialitic Treatment
Authors: Kristuli Liliana , Lai Silvia , Perrotta Adolfo Marco , Zizzo Giuseppe Pietro , Riccardi Claudio , Capasso Emanuela , Galani Alessandro , Russo Gaspare Elios
Published: June 2022

Introduction: Setting dry weight (DW) in hemodialysis (HD) patients is still a hard issue. Several clinical, hematochemical, and instrumental parameters have been considered. In the last years, bioelectrical impedance vector analysis (BIVA) became the main method to evaluate body composition and water body percentage. However, it is still difficult to assess the nutritional status and identify a correct DW in HD patients. Aim: The aim of the study was to set DW and nutritional status, combining BIVA with phase angle (PhA) and serum brain natriuretic peptide (BNP) in HD patients. Methods: We evaluated PhA and BNP modifications before (T0), after HD section (T1), and after 60 days (T2), in all patients treated in our HD center. Results: A total of 50 patients (36 males) with a mean age of 70.1 ± 8.85 years were recruited. We did not report significant changes in BNP and PhA between T0 and T1, while they were significantly different between T0 and T2. We also reported a significant difference between T0 and T2 in ECW/TBW, while we did not show significant variations in ECM/BMC between T0, T1, and T2 indicating a stability of the nutritional status. PhA, BNP, and ECW/TBW returned to a normal value in patients in which we reached a DW, also considering clinical parameters such as blood pressure and antihypertensive therapy. The weight loss obtained with the evaluation of the BIVA and the BNP was 1.2–5.7 kg, greater than that calculated empirically which stood at around 0.9–4.3 kg. Conclusion: We suggest to carry out BIVA with PhA combined with BNP to assess an adequate DW and evaluate a correct nutritional status in HD patients.
Mannan-Binding Lectin Reduces Epithelial-Mesenchymal Transition in Pulmonary Fibrosis via Inactivating the Store-Operated Calcium Entry Machinery
Authors: Liu Yunzhi , Xie Xianghuan , Wang Ping , Luo Jialiang , Chen Yu , Xu Qishan , Zhou Jia , Lu Xiao , Zhao Jianbo , Chen Zhengliang , Zuo Daming
Published: June 2022

Idiopathic pulmonary fibrosis (IPF) is a type of idiopathic interstitial pneumonia with a poor clinical prognosis. Increasing evidence has demonstrated that epithelial-mesenchymal transition (EMT) contributes to the production of pathogenic myofibroblasts and plays a pivotal role in the development of pulmonary fibrosis. Mannan-binding lectin (MBL) is a soluble calcium-dependent complement molecule. Several studies have reported associations between serum MBL levels and lung diseases; however, the effect of MBL on IPF remains unknown. The present study observed aggravated pulmonary fibrosis in bleomycin-treated MBL−/− mice compared with their wild-type counterparts. Lung tissues from bleomycin-treated MBL−/− mice displayed a more severe EMT phenotype. In vitro studies determined that MBL inhibited the EMT process through attenuating store-operated calcium entry (SOCE) signaling. It was further demonstrated that MBL promoted the ubiquitination of Orai1, an essential component of SOCE, via pyruvate dehydrogenase kinase 1 (PDK1)-serum glucocorticoid-regulated kinase 1 signaling. PDK1 inhibition abolished the MBL-mediated regulation of SOCE activity and the EMT process. Notably, biochemical analysis showed that MBL interacted with PDK1 and contributed to PDK1 ubiquitination. In summary, the present findings suggested that MBL limited the EMT phenotype in human alveolar epithelial cells through regulation of SOCE, and MBL could be recognized as a potential therapeutic target for IPF.
Cognitive Bias Modification bei Symptomen der Posttraumatischen Belastungsstörung
Authors: Woud Marcella L. , Wittekind Charlotte E. , Würtz Felix
Published: June 2022

Kognitive Modelle der Posttraumatischen Belastungsstörung (PTBS) gehen davon aus, dass eine dysfunktionale Informationsverarbeitung in den Bereichen Aufmerksamkeit, Interpretation, Bewertung und Gedächtnis einen wichtigen Faktor für das Auftreten und die Aufrechterhaltung der PTBS darstellt. Parallel zeigen verschiedenste Entwicklungen in der klinisch-experimentellen Forschung, dass es möglich sein könnte, solche kognitiven Verzerrungen mithilfe von Cognitive Bias Modification (CBM)-Trainings zu modifizieren. In diesem Beitrag geben wir einen narrativen Überblick über die CBM-Forschung im Kontext von Trauma und PTBS, im experimentellen sowie klinisch-angewandten Bereich. Zudem werden Herausforderungen und neue Forschungslinien für die CBM-Forschung im Kontext der PTBS vorgestellt und diskutiert.
Recurrent and Multiple Intracerebral Hemorrhages in Polycythemia Vera Secondary to Myelofibrosis: A Case Report and Literature Review
Authors: Hasui Hidenari , Iseki Tatou , Ueno Yuji , Kamiyama Daiki , Miyamoto Nobukazu , Kijima Chikage , Hira Kenichiro , Komatsu Norio , Hattori Nobutaka
Published: June 2022

Polycythemia vera (PV) is one of the myeloproliferative neoplasms and has higher frequency of the JAK2 V617F mutation. Hemorrhagic stroke is rare in PV, and myelofibrosis is secondary to PV. A 76-year-old Japanese man was diagnosed as PV with the JAK2 V617F mutation at the age of 63 years. He developed anemia together with secondary myelofibrosis, and then 40 mg ruxolitinib was started at 70 years. At 76 years, he presented with apathy and was diagnosed with intracerebral hemorrhage (ICH) in the right thalamus. Six months later, he developed multiple ICHs in bilateral cerebellar hemispheres. Leukocyte count was 57,600/μL, platelet count was 66,000/μL, and the level of hemoglobin was 8.7 g/dL. Bleeding time was 6 min. The agglutination ability when adding collagen was 41%. A patient with the JAK2 V617F mutation developing hemorrhagic stroke due to late-stage PV and secondary myelofibrosis was reported, implying various mechanisms for recurrent and multiple ICH.
Atrial Fibrillation and Anticoagulant Treatment in End-Stage Renal Disease Patients: Where Do We Stand?
Authors: Di Lullo Luca , Mariani Marco Valerio , Ronco Claudio , Bellasi Antonio , Lavalle Carlo , Chimenti Cristina , Paoletti Ernesto , Ravera Maura , Zanella Monica
Published: June 2022

The frequent coexistence in daily clinical practice of chronic kidney disease (CKD) and atrial fibrillation (AF), especially in the elderly, represents a conundrum for physicians, mainly related to the management of anticoagulant therapy. The reduction of estimated glomerular filtration rate (eGFR) impairs anticoagulant clearance, increasing bleeding propensity. Moreover, dysfunctional responses of endothelial cells and inflammatory systems both trigger thromboembolic status. Those mechanisms pose an increased risk of adverse events for AF patients with CKD. While several data suggested the use of direct oral anticoagulants (DOACs) over warfarin as preferred anticoagulant strategy in patients with Stage 3A to Stage 4 CKD (eGFR range of 15–49 mL/min/1.73 m2), less is known about the optimal anticoagulation management in patients with end-stage renal disease (ESRD) or on renal replacement therapy (RRT). Furthermore, a pivotal feature to be considered when choosing the anticoagulant drug in CKD patients is represented by nephroprotective capability. Indeed, anticoagulant therapy with warfarin showed detrimental effects on kidney function, whereas DOACs demonstrated a beneficial effect on renal function preservation. Mounting data showed that, when pharmacological treatment cannot be pursued due to contraindication to anticoagulation, left atrial appendage occlusion (LAAO) may represent a valid alternative. This brief review outlines the current knowledge regarding anticoagulation therapy in ESRD/RRT patients, reporting new lines of evidence on the nephroprotective effect of oral anticoagulants and on the use of LAAO as a non-pharmacological alternative to oral anticoagulation.
Perfil epidemiológico dos pacientes amputados do Lar Escola São Francisco: estudo comparativo de 3 períodos diferentes
Authors: Cassefo Valéria , Nacaratto Daniela Cristina , Chamlian Therezinha Rosane
Published: June 2022

Foi realizado um estudo retrospectivo através da revisão de 262 prontuários de pacientes amputados do Lar Escola São Francisco – São Paulo, no período de janeiro de 1998 a dezembro de 2002, com o objetivo de traçar o perfil epidemiológico do serviço. Houve predomínio do sexo masculino (71%), de amputações de membro inferior (85,9%), sendo a acima do joelho predominante (52,4%). A etiologia vascular foi a principal causa de amputação em pacientes com mais de 50 anos (72,9%). Observou-se demora no início da reabilitação (média de 19,6 meses) e que o tempo médio de tratamento (10,7 meses) é maior que o descrito na literatura. Além disso, um número pequeno de pacientes adquire prótese (25,2%). Posteriormente, correlacionamos nossos dados com 02 estudos anteriores realizados neste mesmo serviço, visando comparar os resultados obtidos em três períodos diferentes e observamos progressos no processo de reabilitação dos pacientes amputados atendidos em nossa Instituição.