bluuebunny/crossref_metadata_2025 huggingface dataset:
Deployment Strategy and Dynamic Analysis of Large Ring Truss Antenna
Authors: Zhao Jiang , Yang Jungang , Xiao Yong , Ma Xiaofei
Published: August 2022

The deployment strategy and dynamic analysis of the AM-2 AstroMesh ring truss antenna reflector are studied in this paper. The rigid multibody dynamic models of the truss structures with alterable and fixed diagonal length are established, respectively, by using the natural coordinate formulation (NCF). The driving scheme and the synchronous constraint scheme are proposed for two types of truss structure, respectively. The degree of freedom (DOF) analysis of the truss structure is carried out according to the redundant constraint processing method. The deployment strategies of the two different types of truss structures are discussed. The dynamic simulation of the deployment of a 30-side AM-2 AstroMesh reflector truss structure with fixed diagonal length without gravity is carried out. The deployment characteristics of the truss structure are obtained. The driving forces are predicted according to the dynamic simulation.
A Novel Architecture for Diabetes Patients’ Prediction Using K-Means Clustering and SVM
Authors: Arora Nitin , Singh Anupam , Al-Dabagh Mustafa Zuhaer Nayef , Maitra Sumit Kumar
Published: August 2022

Diabetes is one of the alarming issues in today’s era. It is a chronic disease that may cause many health-related problems. It is a group of syndrome that results in too much sugar in the blood. Diabetes’s chronic hyperglycemia has been linked to long-term damage, organ breakdown, and organ failure, notably in the eyes, kidneys, nerves, heart, and veins. Machine learning has quickly advanced, and it is now used in many facets of medical health. The goal of this research is to create a model with the highest level of accuracy that can predict a patient’s chance of developing diabetes. This paper proposes a novel architecture for predicting diabetes patients using the K-means clustering technique and support vector machine (SVM). The features extracted from K-means are then classified using an SVM classifier. A publicly available dataset, namely, the Pima Indians Diabetes Database, is tested using this approach. Accuracy of 98.7% is noted on the used dataset. On this dataset, the combined method performs better than the conventional SVM-based classification. This paper also compared the accuracy, precision, recall, and F1-score of the different machine learning techniques for classifying diabetes patients.
Experimental Study on Sealing Failure Mechanism of Injection-Production String in Underground Gas Storage under Cyclic Loading
Authors: Wang Jian-Jun , Sui Xiao-Feng , Jia Shan-Po , Hua Zhong-Zhi , Wang Si-Yao
Published: August 2022

In order to clarify the impact of cyclic loading on the mechanical properties and sealing performance of threaded connections on pipe string under the injection-production conditions of gas storage and the airtight threaded connections suitable for the actual working conditions can be preferred, the sealing failure of injection and production tubular strings of several domestic gas storages was investigated comprehensively. It was found that the airtight threaded connections with different performance may leak during the service of tubular strings. Existing standards and testing methods have limitations, which are not fully applicable to the working environment of gas storage wells and the production mode of forced injection-production and cannot reflect the operation characteristics of multiround injection and production. Based on the stress analysis of the tubular string during injection and production, a full-scale simulation testing of 30 cycles of gas seal cycle under alternating load was proposed. The cyclic loading test results of two P110·13Cr tubing in domestic gas storage showed that after 30 cycles of cyclic loading, the yield strength, internal pressure strength, collapse strength, and compressive bearing capacity of tubing were all decreased; the compression efficiency of the joints should be fully considered when selecting the gas-sealed thread.
Event-Triggered Fault-Tolerant Control for Nonlinear Networked Control Systems
Authors: Zhou Xiaoyu , Liu Xia , Wang Lu
Published: August 2022

This paper addresses the communication congestion and actuator fault in a nonlinear networked control system. A weighted average event-triggered mechanism adopted the weighted average of data packets is proposed to alleviate the communication congestion and save the network communication resources. Meanwhile, based on the system state estimation and fault estimation obtained by a state-fault observer, a fault-tolerant controller is designed to compensate and reduce the influence of fault and nonlinear factors in the networked control systems. The stability of the closed-loop system is proved by the Lyapunov–Kroasovskii theory, and the gains of the observer and controller are obtained by linear matrix inequalities. The feasibility of the proposed scheme is verified by the networked motor control system. The proposed weighted average event-triggered fault-tolerant control scheme can reduce the data transmission without affecting system performance. Meanwhile, it not only has fault-tolerant control performance but also reduces the influence of nonlinear factors on the system output.
Influence of Coal Cleats on Conical Pick Cutting Process Based on PFC
Authors: Liu Jinxia , Zhang Chao , Zeng Fanchang , Liu Wenting
Published: August 2022

With the rising mining mechanized level, the conical pick is widely used in mining machines. The structure and mechanical properties of rocks and minerals are important factors affecting the cutting characteristics of the conical pick. In this paper, how the coal cleats affect the cutting process of shearers was researched, which will be of great significance to mining technology design. After analyzing the cutting process of conical pick and the test of coal mechanical properties, a group of coal cutting models of conical pick was established based on the empirical cutting parameters, various cleat spacing, simulation of mechanical performance of coal specimens, profile of conical pick, and SRM (synthetic rock mass) method in PFC (Particle Flow Code). Then, the simulations of the cutting process were carried out. The simulation results show that lump coal chips begin to form and fall off after the conical pick cuts to 50°; the cleats near the conical pick grow to be more obvious fractures; the mean and maximum fluctuations of cutting force increase with the increase of face and butt cleat spacing; the lower the density of cleat is, the more the cracks are formed during the cutting process; the face cleat spacing has greater influence on the service life of conical pick than the butt cleat spacing. This study more vividly reflects the influence of cleats on coal cutting process of the conical pick and plays a guiding role in design of mining technology.
Artificial Intelligence-Based Online Education System for University Music
Authors: Xie Yi
Published: August 2022

Aiming at the problems that students in the traditional music teaching system seldom participate in the system interaction and the relatively few types of system transportable files, this research designs and researches the music teaching system in school through artificial intelligence technology, streaming media technology, and webcast technology. The system mainly designs specific online classroom teaching modules according to the main characteristics of college music teaching. The system mainly adopts the b/s framework. Through the system performance test, the system response time is less than 2.5 when 200 people visit. Even when 500 people visit, the response time exceeds 3S, but it also maintains a certain performance level.
A Mathematical Model for Effective Control and Possible Eradication of Malaria
Authors: Adom-Konadu Agnes , Yankson Ernest , Naandam Samuel M. , Dwomoh Duah
Published: August 2022

In this paper, a deterministic mathematical model for the transmission and control of malaria is formulated. The main innovation in the model is that, in addition to the natural death rate of the vector (mosquito), a proportion of the prevention efforts also contributes to a reduction of the mosquito population. The motivation for the model is that in a closed environment, an optimal combination of the percentage of susceptible people needed to implement the preventative strategies (α) and the percentage of infected people needed to seek treatment can reduce both the number of infected humans and infected mosquito populations and eventually eliminate the disease from the community. Prevention effort α was found to be the most sensitive parameter in the reduction of ℛ0. Hence, numerical simulations were performed using different values of α to determine an optimal value of α that reduces the incidence rate fastest. It was discovered that an optimal combination that reduces the incidence rate fastest comes from about 40% of adherence to the preventive strategies coupled with about 40% of infected humans seeking clinical treatment, as this will reduce the infected human and vector populations considerably.
Preschool Education Resource Allocation Model for Index System Evaluation Based on Nonlinear Random Matrix
Authors: Huang Jun
Published: August 2022

Based on random finite sets and random matrices, this paper conducts research on ETT methods, focusing on solving key problems such as measurement set division, hybrid reduction, and target shape modeling, and provides theoretical and methodological support for ETT applications in complex environments. Evaluation is an activity to determine value, which is to judge the degree to which the object meets the requirements of the subject, that is, to judge against certain standards. Usually, the evaluation needs to go through a series of qualitative and quantitative combination; that is, subjective materials and objective statistical data are used together to judge and analyze to obtain the final evaluation result. The evaluation of preschool education resource allocation refers to qualitative and quantitative description of the relevant material and financial and human resources invested in the development of preschool education. This paper will study the preschool education resource allocation evaluation system from the aspect of the index system of the preschool education resource allocation evaluation system. The research results show that the average technical efficiency of preschool education resource allocation from 2019 to 2021 will increase steadily, and the combination of input elements in educational resources will be reasonable. In 2021, Spearman’s rho and Kendall’s tau correlation coefficients between overall technical efficiency and pure technical efficiency are as high as 0.958 and 0.841, which are higher than the correlation coefficients of 0.325 and 0.380 between overall technical efficiency and scale efficiency.
The Effect of Bigorexia Nervosa on Eating Attitudes and Physical Activity: A Study on University Students
Authors: Arslan Müge , Yabancı Ayhan Nurcan , Sarıyer Esra Tansu , Çolak Hatice , Çevik Ekin
Published: August 2022

Purpose. This study aims to examine the relationship between physical activity, eating attitude, and bigorexia nervosa among university students. Method. A questionnaire form consisting of sociodemographic characteristics, eating habits, the Eating Attitude Scale (EAT-40), the International Physical Activity Questionnaire (IPAQ), and the Muscle Appearance Satisfaction Scale (MASS) was conducted on undergraduate students at Üsküdar University. Results. There were 1006 students who participated in this study with a mean age of 22.58 ± 2.87 years. The median “muscle appearance satisfaction” score of the obese students was statistically higher than the normal weight and underweight students. The median score for “Obesity Anxiety” was statistically higher in underweight students than in obese ones. A one-unit increase in IPAQ scores was related to an elevation of 24.9% in the MASS and a decrease of 17.9% in the EAT-40 scores, while a one-unit increase in MASS scores was related to a reduction of 12.5% in the EAT-40 scores. Conclusion. Eating attitude is associated with bigorexia nervosa, and as MASS scores increase, EAT-40 scores decrease and as IPAQ scores increase, and EAT-40 scores decrease. In other words, as physical activity increases, muscle strength satisfaction elevates, and in parallel with this increase, a positive eating attitude improves.
On Approximation Properties of Fractional Integral for A-Fractal Function
Authors: Priyanka T. M. C. , Valarmathi R. , Bingi Kishore , Gowrisankar A.
Published: August 2022

In this paper, the Riemann–Liouville fractional integral of an A-fractal function is explored by taking its vertical scaling factors in the block matrix as continuous functions from

0,1

to

ℝ

. As the scaling factors play a significant role in the generation of fractal functions, the necessary condition for the scaling factors in the block matrix is outlined for the newly obtained function. The resultant function of the fractional integral is demonstrated as an A-fractal function if the scaling factors obey the necessary conditions. Furthermore, this article proposes a fractional operator which defines the Riemann–Liouville fractional integral of an A-fractal function for each continuous function on

C

I
,

ℝ

2

, where

C

I
,

ℝ

2

is the space of all continuous functions from closed interval

I
⊂
ℝ

to

ℝ

2

. In addition, the approximation properties such as linearity, boundedness, and semigroup property of the proposed fractional operator are investigated.
Analysis of the Role of Promoting Sustainable Green Growth through Government Agencies in a Legal Context
Authors: Wang Hongning
Published: August 2022

The rapid development of the global economy has also caused the deterioration of the natural environment. The traditional economic growth method can no longer meet the development requirements of the times for the environment. The realization of sustainable and green development of human society has become the consensus of the whole society. To improve the degree of the greening of the economy, it is necessary to coordinate the management of various departments and to integrate the concept of environment and resources into economic growth. It is an important way for government departments to formulate corresponding sustainable green growth policies by relying on laws to achieve the strategic goals of sustainable green growth. In order to explore the role of government agencies in sustainable green growth through the enactment of relevant laws, this article takes China as the study of the environment. From the perspective of environmental protection tax law, through the establishment of the relationship model between ET and economic variables and ET and environmental indicators, using vector autoregression and system dynamics simulation analysis methods, the effect of ET on the environment and economy is studied. In the analysis of the impact on the environment, the impact of the auxiliary policy of ET on sustainable green growth is discussed. The experimental results show that the impact of environmental tax (ET) on GDP is more obvious. The simulation results show that when the proportion of technology investment is 35%, the promotion effect of sustainable green growth is the best. That is to say, the formulation of relevant laws and policies by government agencies has a certain role in promoting sustainable green growth.
A Deep Learning through DBN Enabled Transmission Line Fault Transient Classification Framework for Multimachine Microgrid Systems
Authors: Bhuiyan Erphan Ahmmad , Akhand Maeenul Azad , Fahim Shahriar Rahman , Sarker Subrata K. , Das Sajal K.
Published: August 2022

The reliable operation of power systems becomes a formidable job these days due to the high amount of complexities in the expanded power system networks. The power system networks often comprise microgrids that encounter over 80% of faults due to their exposure to unpredictable weather conditions, which reduce the insulation strength of the conductors which damaged the distribution system. Therefore, detection, classification, and location of such faults in the distributing systems are a must to ensure the flawless operation of the power systems. Machine learning methodologies are getting more attention to detect these types of faults due to their capability to handle complex fault information. Nevertheless, the obstacles are even now on the board as the traditional machine learning techniques rely on oversimplified frameworks that are incapable of analyzing a wide range of latent and explicit parameters and are also time-consuming. In this work, a unique defect diagnosis technique based on a multiblock deep belief network (DBN) and the fundamental discrete wavelet transform (DWT) is proposed, allowing the architecture to identify the deterministic reconstructing throughout its inputs. This method enables a strong multilevel generative network to utilize fault-related properties, decodes high variability functionalities, and requires minimal previous knowledge. The suggested approach is validated using a wide set of input data at various sampling frequencies. To evaluate the efficiency of DBN, a benchmark methodology based on the International Electrotechnical Commission (IEC) standard was used. White Gaussian Noise (WGN) was also implemented to test the envisioned network’s resilience. The findings show that the approach is capable of executing exact diagnosis procedures.
Management Outcome and Factors Associated with Pediatric Surgical Patient Admitted to Arbaminch General Hospital, Southern Ethiopia, 2021: Retrospective Cross-Sectional Study
Authors: Moga Fikre , Assefa Filagot , Wondwossen Kalkidan , Berhan Yeshiwork
Published: August 2022

Background. Pediatric surgical situations are often disregarded around the world, particularly in developing countries. The number of children hospitalized for surgical reasons has climbed dramatically. There is extensive research on the management outcome of pediatric surgical admissions in industrialized countries, but developing countries have paid little attention to it. Furthermore, to the best of the authors’ knowledge, there has been no research in the study area on the management outcome of pediatric surgical patient admission. Objective. To assess management outcome and factors associated with pediatric surgical patients admitted to Arbaminch General Hospital, Southern Ethiopia, 2021. Method. An institution-based retrospective cross-sectional study design was employed among 265 children with surgical problems. Data were collected from patients’ medical records using pretested data collection checklist. Epi Data 4.2 was used to enter data, and data were exported to SPSS version 25 for analysis. Those variables with

P

-value ≤0.25 in bivariable analysis were entered into multivariable logistic regression analysis, and statistical significance was declared at

P
<
0.05

. Result. A total of 265 surgically admitted children were included in this study. About 26% of study subjects were discharged with unfavorable management outcome. Children admitted due to trauma cause (AOR: 5.753, 95% CI: 2.366–13.987), children with a preexisting medical condition (AOR: 3.240, 95% CI: 1.436–7.310), children with an early complication (AOR: 2.515, 95% CI: 1.130–5.599), presenting to hospital ≥24 hr after the onset (AOR:8.351, 95% CI: 2.089–33.381), hospital stay >7 days (AOR: 10.671, 95% CI: 1.363–83.546), and children treated with surgery (AOR: 2.742, 95% CI: 1.137–6.611) were associated with unfavorable management outcome. Conclusion and recommendations: Twenty-six percent of patients were discharged with unfavorable outcome. Reasons for admission, preexisting medical condition, early complications, duration of hospital presentation, length of hospitalization, and type of management were all linked to the outcome of pediatric surgical admission. To have a good outcome, early identification and treatment of the cause are required, as well as well-equipped surgical care centers.
Exploration of Exercise Characteristics and Psychological Impact of Cold Urban Elderly Based on Multivariate Data Analysis
Authors: Wang Changhe
Published: August 2022

Cold cities will cause a lot of inconvenience for the elderly to travel and exercise due to their low temperature, snowfall, freezing, and other climatic characteristics. On the basis of theoretical support, this paper firstly analyzes the physical, psychological, and behavioral characteristics of the elderly in cold cities and their impact on the design of small- and medium-sized sports venues from the physical needs of the elderly in cold cities. Secondly, based on architectural theory, combined with the research results of aging sociology, behavioral sociology, sports sociology, and other disciplines, combined with a large number of literature, examples, and practical research data, this paper summarizes the problems faced by middle-aged and elderly people in cold cities, constraints, advantages, and motivations for age-friendly design and problems in construction.
Clinical Characteristics and Potential Mechanisms in Patients with Abnormal Liver Function Indices and Elevated Serum IgG4
Authors: Wang Jing , Zhang Yue , Jiang Dandan , Zhou Lu , Wang Bangmao
Published: August 2022

Objective. We analyzed the etiological classification and clinical characteristics of patients with abnormal liver function indices and elevated serum IgG4 levels and investigated the effects of intrahepatic follicular helper T cell (Tfh) infiltration and serum IL-21. Methods. Clinical data (age, sex, past history, clinical manifestations, laboratory tests, imaging, diagnosis, and treatment) and etiology of liver injury from 136 patients were analyzed. We compared the general condition, clinical characteristics, and laboratory tests of 19 AIH (autoimmune hepatitis) patients with elevated serum IgG4 levels with those of 20 AIH patients with normal serum IgG4 levels admitted at the same time. Five patients with AIH and elevated serum IgG4 levels and five AIH patients with normal IgG4 levels were matched by sex, age, and liver function, and Tfh infiltration in liver biopsy tissues of patients in both groups was determined by immunofluorescence staining. Five AIH patients with elevated serum IgG4 levels were selected for measurement of serum interleukin-21 (IL-21) levels by enzyme-linked immunosorbent assay (ELISA), seventeen AIH patients with normal serum IgG4 were matched by sex, age, and liver function indices, and 29 physically healthy individuals matched by sex and age were selected as the control group. The changes in patients with IgG4-RD and abnormal liver function before and after glucocorticoid treatment were measured. Results. Patients (136) with abnormal liver function indices and elevated serum IgG4 levels were diagnosed with liver disease of different etiologies. IgG4-related disease was the most frequent, followed by AIH and malignancy. Abnormal liver function indices with high serum IgG4 were most commonly seen as elevated gamma glutamyl transferase (GGT). The AIH group with elevated serum IgG4 had increased intrahepatic levels of Tfh. IL-21 in AIH patients with elevated IgG4 was higher than in patients with normal IgG4 and healthy controls. Patients (n = 28) with abnormal liver function indices and IgG4-related disease received glucocorticoid therapy for six months, and ALT, AST, ALKP, GGT, TBil, DBil, IgG, IgG4, and IgE were significantly lower after treatment. Conclusions. Elevated serum IgG4 was seen in patients with abnormal liver function indices with diverse causes. Tfh infiltration and increased IL-21 production may be related to the pathogenesis of AIH with elevated serum IgG4. Glucocorticoid therapy is effective in patients with abnormal liver function indices and IgG4-related disease. Assessing immune function in patients with abnormal liver function indices and elevated serum IgG4 levels should facilitate diagnosis and treatment of the disease.
Overall Influence of Dedicated Lanes for Connected and Autonomous Vehicles on Freeway Heterogeneous Traffic Flow
Authors: Chen Yanyan , Zhang Hengyi , Wang Dongzhu , Wang Jiachen
Published: August 2022

With the development of autonomous driving and communication technology, the heterogeneous traffic flow by combining connected and autonomous vehicles (CAVs) and manually driven vehicles (MVs) will appear on the freeway in the near future. It is expected that CAVs can improve the freeway capacity and reduce vehicle exhaust emissions, but sharing the same road by CAVs and MVs will cause certain interference to CAVs. In order to reduce the negative influence of the heterogeneous traffic flow, setting up CAV dedicated lanes to separate CAVs from MVs to a certain extent is regarded as a reasonable solution. Based on the characteristics that MVs should be decelerated by a realistic amplitude and that the connected and autonomous vehicle can accurately predict the speed of its preceding and rear CAVs at the next time step, a heterogeneous traffic flow model was established. Based on this model, we studied the overall influence of different lane strategies on the operating efficiency of freeway traffic flow and vehicle exhaust emissions under different densities with different CAV penetration rates. The results show that setting up CAV dedicated lanes with low CAV penetration rates will have a negative impact on the freeway traffic flow. When the CAV penetration rate is 40%–60% and the density is not less than 30 veh/km/lane, setting up one CAV dedicated lane is the best choice. When the CAV penetration rate exceeds 60% and the density is not less than 40 veh/km/lane, setting up two CAV dedicated lanes is the best choice. The research finding will assist in understanding the overall influence of CAV dedicated lanes on freeway traffic flow and help determine the optimal number of CAV dedicated lanes under different traffic conditions.
Heart Failure Status among Acute Ischemic Stroke Patients: A Hospital-Based Study
Authors: Ravandi Fatemeh , Haj Mohamad Ebrahim Ketabforoush Arsh , Azedi Fereshteh , Hoshyarkhani Mohsen , Fayyaz Farimah , Abbasi Khoshsirat Nahid
Published: August 2022

Background. Since heart failure (HF) and ischemic stroke have common risk factors, their concurrent occurrence is likely. Strokes in HF patients could be life-threatening and lead to severe disabilities, longer hospitalization time, and mortality. The present study aims to investigate the prevalence of HF and its severity based on ejection fraction (EF) in patients with acute ischemic stroke. Methods. The present cross-sectional study included acute ischemic stroke patients admitted to Shahid Rajaei hospital in Karaj in 2020–2021. The diagnosis of HF was based on transthoracic echocardiography within 48 hours of symptom onset, and HF was classified into two groups: 41–49% as mildly reduced EF (HFmrEF) and ≤40% as reduced EF (HFrEF). Patients who did not complete cardiac studies were excluded. Results. 257 acute ischemic stroke patients (62.6% male) were included. Among stroke patients, the prevalence of HF, including HFrEF and HFmrEF, was 30.0% (95% CI: 21.4–38.6). HFmrEF and HFrEF was diagnosed in 32 (12.5%) and 45 (17.5%) patients, respectively. HF was significantly associated with older age, hypertension, past myocardial infarction (MI), and arrhythmia. A history of previous MI significantly increased the odds of heart failure (OR: 3.25, 95% CI: 1.82–5.81). Conclusion. There is a high prevalence of HF among acute ischemic stroke patients. Older patients with a history of hypertension and previous MI are at higher risk. Since patients with HF have a higher mortality and morbidity rate after experiencing an ischemic stroke, close cooperation between the neurology and cardiology specialists for providing advanced care for survivors is required.
Tumor Characteristics Associated with Lymph Node Metastasis and Prognosis in Patients with ERBB2-Positive Gastric Cancer
Authors: Xu Ran , Zhang Yisheng , Zhao Jun , Chen Ke , Wang Zhengguang
Published: August 2022

Gastric cancers (GCs) that express human erb-b2 receptor tyrosine kinase 2 (ERBB2, also known as HER2) account for 7.3%–20.2% of GCs. The pathological and prognostic factors associated with lymph node metastasis of such tumors are still unclear. Therefore, we aimed to identify the risk factors for lymph node metastasis and prognostic factors of patients with ERBB2-positive GC. We conducted a retrospective analysis of pathological specimens after D2 radical surgery for locally advanced GC and D1+ surgery performed for early GC in our hospital from January 2015 to December 2018. Patients with ERBB2-positive GC were selected and the potential risk factors for lymph node metastasis and potential factors affecting prognosis were evaluated. Among 1,124 GC patients, 122 diagnosed with ERBB2-positive GC were included in the study. We found that risk factors for lymph node metastasis included tumor size (hazard ratio (HR)- 6.213, 95% confidence interval (CI)- 2.097–18.407,

p
=
0.001

), neural invasion (HR- 2.876, 95% CI - 1.011–8.184,

p
=
0.048

), and vascular invasion (HR- 16.881, 95% CI - 5.207–54.727,

p
<
0.001

). T stage (HR- 4.615, 95% CI - 2.182–9.759,

p
<
0.001

) and vascular invasion (HR- 3.036, 95% CI - 1.369–6.736,

p
=
0.006

) were significant prognostic variables. These findings shed new light on the pathology and prognosis of patients with ERBB2-positive GC.
Deconstruction of the Application of Police Drone Technology Integrating Fourier Fast Transform Algorithm in the 5G Network Era
Authors: Zhang Zhixue
Published: August 2022

In the era of the 5G network, the rapid development of information technology has made UAV technology widely used in many fields. UAVs have the characteristics of small size, lightweight, easy operation, flexibility, and so on. Drones can well solve the current problems of the insufficient police force, slow evidence collection, and harsh on-site environment. However, the existing police drones are often affected by objective conditions, such as the ground and weather when shooting, the signal is easily interrupted, and the accuracy and stability are not enough. In order to solve these problems, this article integrates the Fourier fast transform algorithm into the police unmanned aerial vehicle technology and improves the police unmanned aerial vehicle technology. By testing the police drones from four aspects of positioning and navigation, communication strength, shooting quality, and satisfaction, it can be observed how the police drones with the Fourier fast transform algorithm are optimized. Statistical experimental results show that the positioning and navigation accuracy of police drones has been improved. The communication strength command execution speed increased by 2.6%, the shooting quality increased by 6.7%, and the satisfaction rate increased by 7.3%. The Fourier fast transform algorithm makes police drones better, promotes the development of drone technology, and greatly improves the efficiency of police officers.
Development of Machine Learning and Medical Enabled Multimodal for Segmentation and Classification of Brain Tumor Using MRI Images
Authors: Anand L. , Rane Kantilal Pitambar , Bewoor Laxmi A. , Bangare Jyoti L. , Surve Jyoti , Raghunath Mutkule Prasad , Sankaran K. Sakthidasan , Osei Bernard
Published: August 2022

The improper and excessive growth of brain cells may lead to the formation of a brain tumor. Brain tumors are the major cause of death from cancer. As a direct consequence of this, it is becoming more challenging to identify a treatment that is effective for a specific kind of brain tumor. The brain may be imaged in three dimensions using a standard MRI scan. Its primary function is to examine, identify, diagnose, and classify a variety of neurological conditions. Radiation therapy is employed in the treatment of tumors, and MRI segmentation is used to guide treatment. Because of this, we are able to assess whether or not a piece that was spotted by an MRI is a tumor. Using MRI scans, this study proposes a machine learning and medically assisted multimodal approach to segmenting and classifying brain tumors. MRI pictures contain noise. The geometric mean filter is utilized during picture preprocessing to facilitate the removal of noise. Fuzzy c-means algorithms are responsible for segmenting an image into smaller parts. The identification of a region of interest is facilitated by segmentation. The GLCM Grey-level co-occurrence matrix is utilized in order to carry out the process of dimension reduction. The GLCM algorithm is used to extract features from photographs. The photos are then categorized using various machine learning methods, including SVM, RBF, ANN, and AdaBoost. The performance of the SVM RBF algorithm is superior when it comes to the classification and detection of brain tumors.
Depletion of Amoxicillin Residue in Edible Tissue of Broiler Chicken by Different Cooking Methods
Authors: Lakew Aynalem , Megersa Negussie , Chandravanshi Bhagwan S.
Published: August 2022

A new simple isocratic, RP-HPLC method, was developed and validated to estimate amoxicillin (Amox) residue depletion caused by different cooking methods in broiler chicken tissue. The limit of detection (LOD) and the limit of quantitation (LOQ) were 1.32 and 4.00 µg mL−1, respectively. The calibration plot was linear over the concentration range of 0.05–250 µg mL−1, and the relative standard deviation (RSD) values were less than 8%. The effects of various cooking methods (boiling, pan-frying, and microwaving) on residues of Amox were conducted under different combinations of temperature and time. Moreover, the heat stability of Amox standard solutions under boiling water and cooking oil at 100°C was investigated. Amox remained stable for 5–15 min in boiling water, the concentration was significantly reduced in the range of 70–87%, and additional new peaks of the degraded compounds appeared at 30–45 min. In pan-frying, the residue remained stable for 15 min at 100°C and then depleted to 81–92% after 30–45 min. Due to dehydration, the residue concentration showed an increment from 101 to 112% at 150°C. The total decomposition of Amox was observed at 200°C, 30–45 min due to high temperature and long-time effects. In microwave cooking using 500 W, 0.5–2 min, the depletion was insignificant. This study shows that sufficient cooking temperature and time can have a significant effect on the depletion of Amox residues.
Effectiveness and Safety of the Traditional Chinese Medicine Treatment (HuoxueHuayu Therapy) for Malignant Tumors: A Systematic Review and Meta-Analysis
Authors: Chen Zehui , Wang An , Wei Yue , Zhu Yan , An Jing , Li Zhiming
Published: August 2022

Background. A malignant tumor is one of the refractory diseases that threaten human life and health. HuoxueHuayu therapy (one of the Traditional Chinese Medicine therapies to promote blood circulation and remove blood stasis) is widely used as an antitumor supplementary method. However, its efficacy and safety are still controversial. Therefore, the objective of this study was to provide evidence-based evidence for HuoxueHuayu therapy in the treatment of malignant tumors and confirm its safety and effectiveness. Methods. A systematic search in 8 electronic databases targeted randomized clinical studies evaluating HuoxueHuayu therapy for response evaluation, tumor progression rate, quality of life (QoL), peripheral hemogram, performance status, immunologic function, tumor marker, and blood coagulation function in cancer patients, published from the establishment of the database to December 31, 2020. Risk ratio (RR) was used for counting data, mean difference (MD) or standardized mean difference (SMD) was used for measurement data, and 95% confidence interval (CI) was used as efficacy analysis statistics. Results. Our search identified 69 studies, evaluating 4402 patients in total. Randomized controlled trials (RCTs) evaluated gastric (n = 14), lung (n = 18), pancreatic (n = 2), colorectal (n = 10), liver (n = 14), breast (n = 2), ovarian (n = 2), gallbladder (n = 1), esophagus (n = 1), and combined (n = 14) cancers and hematological malignancies (n = 2). The duration of HuoxueHuayu therapy ranged from 3 to 48 weeks. Methodological bias was low in 64 studies and high in 5 studies. HuoxueHuayu therapy was associated with significant improvement in response evaluation (Response Evaluation Criteria in Solid Tumor (RECIST): RR: 1.44, 95% CI: 1.27 to 1.63, I2 = 0%, n = 33 studies; World Health Organization Criteria in Solid Tumors (WHOCIST): RR: 1.40, 95% CI: 1.23 to 1.59, I2 = 0%, n = 26 studies), recurrence rate (RR: 0.85, 95% CI: 0.72 to 0.99, I2 = 0%, n = 2 studies), quality of life, performance status (MD: 5.60, 95% CI: 5.04 to 6.15,

p
<
0.001

), immunologic function (CD3: SMD: 1.23, 95% CI: 0.79 to 1.66,

p
<
0.001

; CD4: SMD: 1.25, 95% CI: 0.77 to 1.74,

p
<
0.001

; CD4/CD8: SMD: 1.05, 95% CI: 0.69 to 1.42,

p
<
0.001

; natural killer cell (NK): SMD: 0.74, 95% CI: 0.32 to 1.15,

p
<
0.001

), tumor marker, and blood coagulation function (D-dimer (D-D); fibrinogen (FIB)). In addition, HuoxueHuayu therapy could reduce toxicity caused by chemotherapy and radiotherapy without risks of liver and kidney injury or bleeding, although the effect on tumor metastasis was uncertain. Conclusions. The present update of our systematic review and meta-analyses provided essential evidence for the beneficial effect of HuoxueHuayu therapy to show promise in cancer treatment, improving quality of life, addressing cancer-related symptoms, and reducing toxicity in a secure way.
Smart Integrated Decentralization Strategies of Solar Power System in Buildings
Authors: Shah Syed Muhammad Kashif , Rasheed Tanzeel Ur , Ali Hafiz Muhammad
Published: August 2022

This study signifies the need for a smart integrated decentralized solar energy system in Pakistan. Since the outlook of energy is highly dominated by its power sector, policy measures must be adopted to ensure its penetration in the system of any country. After the industrial, the housing sector is the major energy-consuming sector. The goal of this study is to assess energy generation through a smart integrated decentralized solar energy system in the power hub of a commercial area in Taxila, Pakistan. Model development involves a hypothetical model built on LabVIEW which allows the user interface a way to intermingle with the source code. It permits the user to the transformation of the values sent to the source code and sees the information that the source code calculates. The proposed system is a collaborative sharing integrated decentralized solar system that credits sunlight-based energy framework proprietors for the power they add to different buildings due to the collaborative sharing mechanism at Rs.10 per kWh. This low-cost electricity is available at your doorstep that you can share according to the collaborative sharing basis that will not range any certain variable. Results from the literature describe that 30% of the cost associated with the commercial price of electricity amounts to distribution cost. This system of the utilization of energy would be applied at a local level to achieve the maximum power generation from solar panels through blockchain use of solar systems, especially in regions that have no entrance to traditional power with little odds of getting associated in the next 5-10 years.
The Effect of CT Imaging Technology in the Diagnosis of Thoracic and Cardiac Surgery Diseases
Authors: Yang Min , Qian Hongbo , Zhang Dafa , Gui Yingjing
Published: August 2022

In order to increase doctors’ cognition of the three-dimensional anatomical structure of cardiothoracic and cardiothoracic surgery and increase the diagnosis rate and cure rate of cardiothoracic surgery diseases, the authors propose a method of CT imaging technology for diagnosing cardiothoracic surgery diseases. Through the joint Hookwire positioning of 3D-CTBA, application in thoracoscopic segmentectomy and CT energy spectrum curve, retrospective analysis of diagnosis of intrathoracic lymph node metastasis in non-small-cell lung cancer, 3D-CTBA and CT-guided Hookwire localization, and preoperative CT-enhanced scanning were performed using two methods. The experimental results showed that the chest tube placement time, postoperative thoracic drainage volume, and postoperative hospital stay after the first operation all showed a good trend. The diagnostic sensitivity was 87.1%. The specificity was 92.6%. The correct index was 79.7%. The accuracy was 91.3%. The positive predictive value was 79.4%. And the negative predictive value was 95.7%. These data prove that CT imaging technology has high diagnostic value for thoracic and cardiac surgery diseases and can effectively help the formulation and implementation of thoracic and cardiac surgery diseases.
[Retracted] Anticancer and Free Radical Scavenging Competence of Zinc Oxide Nanoparticles Synthesized by Aqueous Leaf Extract of Phyllanthus acidus
Authors: Chinnathambi Arunachalam , Ali Alharbi Sulaiman , Joshi Deepika , Lenin Haiter
Published: August 2022

The purpose of this study was aimed to investigate the zinc oxide nanoparticles (ZnONPs) synthesizing efficiency of aqueous leaf extract of Phyllanthus acidus. Furthermore, the antioxidant and anticancer activities of synthesized ZnONPs were also investigated through the in‐vitro approach. The obtained results show that the aqueous extract of P. acidus can synthesize ZnONPs, as evidenced by a sharp absorbance peak at 375 nm. The Fourier transform infrared spectroscopy (FTIR) analysis confirmed that the aqueous extract contained significant numbers of functional groups, which were involved in reducing zinc nitrate into ZnONPs. Also, they participate in the capping and stabilization of synthesized ZnONPs and their size ranged from 27.14–35.74 nm with a spherical shape . The results obtained in ABTS radical scavenging activity 1, 1‐diphenyl‐2‐picryl‐hydroxyl (DPPH), hydrogen peroxide (H2O2), and 2,2′‐Azino‐Bis(3‐ethylbenzene thiazoline‐6‐sulfonic acid) (ABTS) assays declared has excellent in‐vitro radicals scavenging activity with reasonable IC50 values. Interestingly, these green synthesized ZnONPs have an excellent anticancer activity against human epidermoid carcinoma (Hep3) cell line in an in‐vitro approach. These findings imply that an aqueous leaf extract of P. acidus can be used to synthesize pharmaceutically valuable ZnONPs. To consider such nanomaterials as potential therapeutic agents, optimization and in‐vivo biomedical studies are required.
Complexity: Frontiers in Data‐Driven Methods for Understanding, Prediction, and Control of Complex Systems 2022 on the Development of Information Theoretic Model Selection Criteria for the Analysis of Experimental Data
Authors: Murari Andrea , Lungaroni Michele , Rossi Riccardo , Spolladore Luca , Gelfusa Michela
Published: August 2022

It can be argued that the identification of sound mathematical models is the ultimate goal of any scientific endeavour. On the other hand, particularly in the investigation of complex systems and nonlinear phenomena, discriminating between alternative models can be a very challenging task. Quite sophisticated model selection criteria are available but their deployment in practice can be problematic. In this work, the Akaike Information Criterion is reformulated with the help of purely information theoretic quantities, namely, the Gibbs‐Shannon entropy and the Mutual Information. Systematic numerical tests have proven the improved performances of the proposed upgrades, including increased robustness against noise and the presence of outliers. The same modifications can be implemented to rewrite also Bayesian statistical criteria, such as the Schwartz indicator, in terms of information‐theoretic quantities, proving the generality of the approach and the validity of the underlying assumptions.
A Validated 1H NMR Method for the Quantitation of 5-Hydroxymethyl-2(5H)-Furanone, a Valuable Chemical Intermediate, In a Dichloromethane Extract of Helleborus lividus subsp: Corsicus Leaves from Corsica
Authors: Maroselli Thomas , Paoli Mathieu , Bighelli Ange
Published: August 2022

An experimental procedure using 1H NMR was developed and validated to quantify 5-hydroxymethyl-2(5H)-furanone, a valuable chemical synthon ((S)-enantiomer), in a dichloromethane extract of Helleborus lividus subsp. corsicus leaves. This method, using vanillin as the internal standard, exhibited a perfect linearity of measurements (R2 = 1) associated with very good accuracy (relative errors comprised between −1.62% and 4.25%) and precision (reproducibility 30.51 mg ± 0.4%). The limit of detection and the limit of quantitation have been measured at 0.14 mg and 0.59 mg, respectively. The experiment time is very short since a single analysis is at the minute level. 5-Hydroxymethyl-2(5H)-furanone accounted for nearly 85% in the dichloromethane extract of H. lividus subsp. corsicus leaves (1.7% of the mass of fresh leaves). This plant represents an important and natural source of (S)-5-hydroxymethyl-2(5H)-furanone (main enantiomer; determined using a GC chiral analysis).
Track Fusion Fractional Kalman Filter for the Multisensor Descriptor Fractional Systems
Authors: Zhang Bo , Shen Haibin , Yan Guangming , Sun Xiaojun
Published: August 2022

The purpose of this study was to investigate the state estimation problem for the multisensor descriptor fractional systems. Firstly, the descriptor fractional order system was transformed into two nondescriptor fractional order subsystem based on the singular value decomposition method; then, the descriptor fractional Kalman filters for the subsystems were proposed based on projection theory, which effectively solved the state estimation problem of the descriptor fractional order system with singular matrix; on this basis, the track fusion fractional Kalman filter of the multisensor descriptor fractional system is proposed by using the track fusion algorithm. The state estimation accuracy of multisensor descriptor fractional order systems is greatly improved. Simulation results show the effectiveness of the proposed algorithm.
Sobre derechos laborales, sindicalización y huelgas
Authors: Tejada Mauricio
Published: August 2022

La propuesta de nueva Constitución establece, en sus artículos 46 y 47, los derechos de los trabajadores con respecto a su trabajo; a su capacidad de sindicalización y negociación colectiva; y a la realización y participación en huelgas. En lo esencial, los primeros establecen que los individuos tienen derecho a trabajar; a elegir libremente dónde hacerlo; a tener una remuneración equitativa, justa y suficiente; a que su trabajo no sea precario ni humillante; y, finalmente, a no ser discriminados, despedidos arbitrariamente y/o recibir trato diferenciado por consideraciones diferentes a competencias laborales e idoneidad. Continuar leyendo...
Relaciones laborales y nueva Constitución
Authors: Ljubetic Yerko , Araneda Mauricio
Published: August 2022

Más allá del resultado que finalmente arroje el Plebiscito de Salida, no cabe duda de que el debate y las definiciones constituyentes sobre las normas que regularán las relaciones laborales están en línea con los fenómenos que han venido emergiendo en el mundo del trabajo en los últimos años. Continuar leyendo...
Banco Central
Authors: García Carlos
Published: August 2022

La propuesta de la nueva Constitución política prácticamente dejó sin cambios los objetivos y la administración del Banco Central de Chile. El artículo 358 establece que: “Le corresponde en especial al Banco Central, para contribuir al bienestar de la población, velar por la estabilidad de los precios y el normal funcionamiento de los pagos internos y externos” (página 132). Continuar leyendo...