bluuebunny/crossref_metadata_2025 huggingface dataset:
Fault Diagnosis of Subway Mechanical Equipment Based on 5G Intelligent Sensor Network Signal Processing
Authors: Li Zhiming
Published: September 2022

The application of traditional feature extraction methods in subway mechanical fault diagnosis has attracted the attention of researchers. Based on the 5G intelligent sensor network signal processing theory, this paper constructs a fault diagnosis model for subway machinery and equipment and analyzes the effectiveness of the information redundancy calculation method proposed in this paper by using the on-site vibration data of subway units. The model is obtained by analyzing the entropy characteristics of the vector vibration signal in each bearing section of the subway machinery and equipment. The entropy value quantitatively reflects the vibration complexity of the rotor in the section from different angles and solves the problem of data quantitative analysis. In the simulation process, based on the 5G intelligent sensor network signal and the fuzzy mean clustering information fusion method, in the process of identifying the fault state of the subway unit, a relatively optimistic identification result was obtained. The experimental results show that, no matter whether the Gaussian kernel or the polynomial kernel is selected, the number of kernel principal components whose cumulative contribution rate is greater than 0.85 decreases with the increase of the kernel parameter, and the fault identification support rate is 85%, that is, the diagnosis results of 3 sets of sample data are nonrolling element faults, which significantly improves the performance of the bearing.
AI-Enabled Ant-Routing Protocol to Secure Communication in Flying Networks
Authors: Hussain Sadoon , Sami Ahmed , Thasin Abida , Saad Redhwan M. A.
Published: September 2022

Artificial intelligence has recently been used in FANET-based routing strategies for decision-making, which is a unique paradigm. For effective communication in flying vehicles that use routing protocols to accomplish tasks collectively, aerial vehicles are used in both civic and military applications. Aerial ad hoc networks are wirelessly connected, and designing routing schemes is difficult due to the rapid mobility. Ground base stations and satellites are frequently used to interconnect UAV ad hoc networks. This paper developed a novel routing protocol with a focus on ant behavior routing, which assists in end-to-end security. For the first time in flying networks, the column mobility model is used to evaluate the performance of routing protocols. While merging with aerial ad hoc networks, AI-based networking is a relatively new field. In simulation results, AntHocNet shows better results in comparison with other contemporary routing algorithms. Pheromone update process is used for data encryption in AntHocNet. This research study is performed on network simulator-2.
GC/MS-Based Urine Metabolomics Study on the Ameliorative Effect of Xanthoceras sorbifolia Extract on Alzheimer’s Disease in Mice
Authors: Han Rui , Wang Min , Wang Li , Zhang Yichen , Li Xin , Hou Yijun , Yan Jing , Pan Xiaojing
Published: September 2022

The cause of Alzheimer’s disease, the most common type of dementia today, is still unclear, and in current research, there are no drugs that work relatively well. Therefore, the study for new drugs to treat Alzheimer’s disease is an urgent research need. Research on the improvement of Alzheimer’s disease with extracts of Xanthoceras sorbifolia has been increasing in recent years, but the mechanism is not fully understood. The experiments were conducted to validate the model and analyze the treatment effect through D-galactose and Aβ25–35 induced dementia model mice, using the Morris water maze, to detect the learning behavior and brain tissue section to observe the hippocampal tissue structure of mice. We performed a nontargeted metabolomic analysis of the urine obtained from different groups of mice using gas chromatography-mass spectrometry. Fourteen potential biomarkers were identified in the mice’s urine, outlining five metabolic pathways of interest. It was shown that the extracts of Xanthoceras sorbifolia may exert protective effects on mice in dementia models through energy metabolism, neuroinflammation, and antioxidants. This study reveals the potential pathogenesis of Alzheimer’s disease and the possible therapeutic mechanism of Xanthoceras sorbifolia, suggests relevant biomarkers, and provides an additional basis for the clinical application of Xanthoceras sorbifolia.
GSK 650394 Inhibits Osteoclasts Differentiation and Prevents Bone Loss via Promoting the Activities of Antioxidant Enzymes In Vitro and In Vivo
Authors: Jin Lin-Yu , Huo Shi-Cheng , Guo Chen , Liu Hai-Ying , Xu Shuai , Li Xin-Feng
Published: September 2022

Osteoporosis (OP) is one of the most common bone disorders among the elderly, characterized by abnormally elevated bone resorption caused by formation and activation of osteoblast (OC). Excessive reactive oxygen species (ROS) accumulation might contribute to the formation process of OC as an essential role. Although accumulated advanced treatment target on OP have been proposed in recent years, clinical outcomes remain unexcellence attributed to severe side effects. The purpose of present study was to explore the underlying mechanisms of GSK 650394 (GSK) on inhibiting formation and activation of OC and bone resorption in vitro and in vivo. GSK could inhibit receptor activator of nuclear-κB ligand (RANKL-)-mediated Oc formation via suppressing the activation of NF-κB and MAPK signaling pathways, regulating intracellular redox status, and downregulate the expression of nuclear factor of activated T cells c1 (NFATc1). In addition, quantitative RT-PCR results show that GSK could suppress the expression of OC marker gene and antioxidant enzyme genes. Consistent with in vitro cellular results, GSK treatment improved bone density in the mouse with ovariectomized-induced bone loss according to the results of CT parameters, HE staining, and Trap staining. Furthermore, GSK treatment could enhance the capacity of antioxidant enzymes in vivo. In conclusion, this study suggested that GSK could suppress the activation of osteoclasts and therefore maybe a potential therapeutic reagent for osteoclast activation-related osteoporosis.
Research on the Influence of Groundwater in Coastal Areas on the Stress and Deformation Characteristics of Integrated Pipe Gallery
Authors: Tian Yuanyuan , Wang Qingbiao , Hu Zhongjing , Yang Shuo , Peng Chuanxiong , Zhang Xu , Li Zhongying , Wang Xugang
Published: September 2022

With the high demand for basic resources such as electricity, communication, water supply, and gas in cities, most cities in my country are vigorously developing underground integrated pipe gallery. When constructing pipe gallery in coastal areas, it is necessary to consider the impact of groundwater level on structural calculations. There is still a lack of systematic research in domestic and foreign literature. Relying on the Qingdao West Coast New Area Project, this paper uses a combination of laboratory tests and MIDAS GTS/NX numerical simulation to study the influence of groundwater in the coastal area on the stress and deformation characteristics of the integrated pipe gallery. The results show that (1) the Mises stress on the roof and bottom of the integrated pipe gallery increases continuously with the rise of the groundwater level. Due to the effect of the effective stress, the Mises stress on the side wall shows a decreasing trend. (2) Due to the influence of the construction form of the cross-section interface, the maximum principal stress of each part of the

M

side is always smaller than that of the

N

side; with the continuous increase of groundwater level, the maximum principal stress at each part of the

N

and

M

sides of the pipe gallery structure joint gradually increases. (3) The overall structure of the pipe gallery floats up. Under the action of the buoyancy force, the bottom plate moves upward, and the surface displacement rises continuously with the rise of the groundwater level. (4) When the groundwater depth is the same, the analysis of the test results and the numerical simulation calculation results are basically consistent, which further verifies the validity of the numerical simulation calculation and has reference value. (5) The engineering example shows that in order to reduce the service life of the integrated pipe gallery, the impact of groundwater on the integrated pipe gallery cannot be ignored.
MAO-B Polymorphism Associated with Progression in a Chinese Parkinson’s Disease Cohort but Not in the PPMI Cohort
Authors: Cui Shi-Shuang , Wu Ling-Yu , Li Gen , Du Juan-Juan , Huang Pei , Liu Jin , Ling Yun , Ren Kang , Chen Zhong-Lue , Chen Sheng-Di
Published: September 2022

Introduction. Genetic factors play an important role in Parkinson’s disease (PD) risk. However, the genetic contribution to progression in Chinese PD patients has rarely been studied. This study investigated genetic associations with progression based on 30 PD risk loci common in a longitudinal cohort of Chinese PD patients and the Parkinson’s Progression Markers Initiative (PPMI) cohort. Methods. PD patients from the true world (TW) Chinese PD longitudinal cohort and the PPMI cohort with demographic information and assessment scales were assessed. A panel containing 30 PD risk single nucleotide polymorphisms was tested. Progression rates of each scale were derived from random-effect slope values of mixed-effects regression models. Progression rates of multiple assessments were combined by using principal component analysis (PCA) to derive scores for composite, motor, and nonmotor progression. The association of genetic polymorphism and separate scales or PCA progression was analysed via linear regression. Results. In the Chinese PD cohort, MAOB rs1799836 was associated with progression based on the Montreal Cognitive Assessment, the top 3 principal components (PCs) of nonmotor PCA and PC1 of the composite PCA. In the PPMI cohort, both MDS-Unified Parkinson’s Disease Rating Scale II and motor PC1 progression were associated with RIT2 rs12456492. The PARK16 haplotype was associated with Geriatric Depression Scale and the State-Trait Anxiety Inventory for Adults progression, and the SNCA haplotype was associated with the Hoehn-Yahr staging progression and motor PC1 progression. Ethnicity-stratified analysis showed that the association between MAOB rs1799836 and PD progression may be specific to Asian or Chinese patients. Conclusion. MAOB rs1799836 was associated with the progression of nonmotor symptoms, especially cognitive impairment, and the composite progression of motor and nonmotor symptoms within our Chinese PD cohort. The RIT2 rs12456492 and SNCA haplotypes were associated with motor function decline, and the PARK16 haplotype was associated with progression in mood in the PPMI cohort.
Characterizations of Left H-Clifford Semirings by Their H-Ideals
Authors: Anjum Rukhshanda , Mufti Zeeshan Saleem , Alghazzawi Dilshad , Al-Zidi Nasser M. , Ullah Khalid Muhammad Rizwan
Published: September 2022

The main aim of this research is to introduce Lefth−Clifford Semi-rings. Using some basic properties ofh−regular semi-rings we shall investigate several properties of Lefth−Clifford semi-rings and their characterizations. We will also establish that a semi-group Q will be a Left Clifford Semi-group iff the semi-group P (Q) of all subsets of Q is a Lefth−Clifford Semiring. Also, this research will investigate the distributive congruences of regular semi-rings.
Nondominated Sorting Differential Evolution Algorithm to Solve the Biobjective Multi-AGV Routing Problem in Hazardous Chemicals Warehouse
Authors: Duan Lini , Liu Yuanyuan , Li Haiyan , Park Kyung-Hye , Cao Kerang
Published: September 2022

For the multiple automated guided vehicle (multi-AGV) routing problems in the warehousing link of logistics, where the optimization objective is to minimize both the number of AGVs used and the maximum pickup time simultaneously, a nondominant sorting differential evolution (NSDE) algorithm is proposed. In the encoding and decoding stages, the pickup point area is divided. AGVs are allocated to each region according to the proposed rule based on avoiding duplicate paths. Meanwhile, the pickup points within the region can be adjusted to optimize the pickup paths and improve the pickup efficiency. The fast nondominated sorting method and elitist selection strategy in the nondominated sorting genetic algorithm II (NSGA-II) are introduced into the differential evolution algorithm, which sorts all the regions to obtain the best Pareto solution set. Lastly, the domination of the proposed NSDE algorithm in Pareto frontier evaluation indicators is verified by some numerical experiments.
The Use of Orthostatic Device for 90 Minutes Does Not Change Cardiovascular and Biomechanical Parameters of Patients with Spinal Cord Injury
Authors: Oliveira Liana Praça , da Silva Reginaldo Florencio , de Leopoldino Marie Aquino Melo , Frota Sarah Carvalho , de Melo Alves Gabriella Coelho Vieira , Fortes Jefferson Pacheco Amaral , Muniz Pedro Henrique Gomes , Hotta Gisele Harumi , de Mattos Brito Oliveira Francisco Carlos , Santos-Júnior Francisco Fleury Uchoa
Published: September 2022

Background. Changes in autonomic function are often caused by spinal cord injuries, which lead to limited orthostatic positioning in these patients. Objective. To investigate the cardiovascular and biomechanical parameters during 90 min of postural elevation equipment usage comparing spinal cord injury and healthy subjects. Methods. A device was used that allowed patients with spinal cord injuries to remain in an orthostatic posture for 90 min. During this period, the physiological parameters were measured every 15 min. Cardiovascular parameters (heart rate, oxygen saturation, blood pressure, and autonomic nervous system) and biomechanical parameters of the plantar pressure distribution were evaluated. For blood pressure, heart rate, oxygen saturation, and autonomic nervous system, a two-way analysis of variance was applied. The mixed-effect model was applied to plantar pressure. The significance level was set at

p
<
0.05

for all statistical analyses. Results. No differences were observed between the groups in systolic blood pressure (

F
=
0.07

), diastolic blood pressure (

F
=
0.14

), heart rate (

F
=
0.56

), and oxygen saturation (

F
=
0.23

) at any of the time intervals throughout the experiment (

p
>
0.05

). No statistical difference was observed in the mean plantar pressure values between the groups (

p
=
0.35

) during the period in which they remained in the orthostatic position. Conclusion. The present study showed the absence of differences between spinal cord injury patients and control participants using the orthostatic device in terms of cardiovascular and biomechanical parameters over 90 min.
Study of Barium Adsorption from Aqueous Solutions Using Copper Ferrite and Copper Ferrite/rGO Magnetic Adsorbents
Authors: Mary B. Carmel Jeeva , Vijaya J. Judith , Bououdina M. , Khezami L. , Modwi A. , Ismail M. , Bellucci Stefano
Published: September 2022

The development of advanced materials for the removal of heavy metal ions is a never-ending quest of environmental remediation. In this study, a facile and cost-effective approach was employed to synthesize copper ferrite (CF) and copper ferrite/reduced graphene oxide (CG) by microwave assisted combustion method for potential removal of barium ions from aqueous medium. The physiochemical characterizations indicated the formation of magnetic nanocomposite with an average crystallite size of CF and CG is 32.4 and 30.3 nm and with specific surface area of 0.66 and 5.74 m2/g. The magnetic results possess multidomain microstructures with saturation magnetization of 37.11 and 33.84 emu/g for CF and CG. The adsorption studies prove that upon addition of rGO on the spherical spinel ferrite, the adsorption performance was greatly improved for CG nanocomposite when compared with the bare CF nanoparticles. The proposed magnetic adsorbent demonstrated a relatively high Ba2+ adsorption capacity of 161.6 mg·g-1 for CG nanocomposite when compared to 86.6 mg·g-1 for CF nanoparticles under optimum conditions ([Formula: see text]). The pseudo-first-order (PFO), pseudo-second-order (PSO), and Elovich models were fitted to the kinetic data, the yielded [Formula: see text] value of 0.9993 (PSO) for CF and 0.9994 (PSO) for CG which is greater than the other two models, which signify that the adsorption process is chemisorption. Thermodynamic studies show that barium adsorption using CF and CG adsorbents is endothermic. The as-fabricated CuFe2O4/rGO nanocomposite represents a propitious candidate for the removal of heavy metal ions from aqueous solutions.
Dynamical Behavior of a Delayed Holling Type‐II Predator‐Prey Model with Predator Cannibalism
Authors: Lavanya R. , Vinoth S. , Sathiyanathan K. , Njitacke Tabekoueng Zeric , Hammachukiattikul P. , Vadivel R.
Published: September 2022

In this article, we propose the Holling type‐II predator‐prey model involving cannibalism and gestation delay in predators. We study the existence of all possible equilibrium points of the proposed model. We give the condition for the local stability and Hopf bifurcation analysis for the nondelayed model. Next, we also establish the local stability and Hopf bifurcation analysis for the corresponding delayed model. Finally, we discuss how cannibalism and delay play an important role in stabilizing and destabilizing the proposed system both theoretically and numerically.
The Study of Exosomes-Encapsulated mPEG-PLGA Polymer Drug-Loaded Particles for Targeted Therapy of Liver Cancer
Authors: Mo Jiantao , Da Xuanbo , Li Qiaoxin , Huang Jingjing , Lu Le , Lu Hongwei
Published: September 2022

The emergence of targeted drugs brings hope to patients with advanced liver cancer. However, due to the complex and diverse environment in the human body, the overall response rate of targeted drugs is not high. Therefore, how to efficiently deliver targeted drugs to tumor sites is a major challenge for current research. The project intends to construct mPEG-PLGA nanoparticles loaded with Sora and encapsulate them with exosomes for targeted therapy of hepatocellular carcinoma. mPEG-PLGA drug-loaded nanoparticles were prepared by the dialysis method and characterized by TEM and DLS. The obtained nanoparticles were incubated with the exosomes of liver cancer cells, and the exosomes-encapsulated drug-loaded nanoparticles (Exo-Sora-NPs) were obtained under pulsed ultrasound conditions, and they were characterized by Western blot, transmission electron microscopy (TEM), and dynamic light scattering (DLS). The toxic effect of Exo-Sora-NPs on liver cancer cells was detected by the CCK-8 experiment. The uptake efficiency of nanoparticles by liver cancer cells was detected by a confocal microscope. The accumulation and infiltration depth of nanomedicine in liver cancer tissues were observed by confocal microscope on frozen sections of liver cancer tissue after the H22 liver cancer subcutaneous tumor transplantation model was constructed. The tumor size, body weight, pathology, and serology analysis of mice were measured after administration. The mPEG-PLGA polymer drug-loaded particles encapsulated by exosomes have high targeting ability and biosafety. To a certain extent, they can target the drug to the tumor site with a smaller systemic response and have a highly effective killing effect on the tumor. Nanodrug-loaded particles encapsulated by exosomes have great potential as drug carriers.
Promoting Information Privacy Protection Awareness for Internet of Things (IoT)
Authors: Mugariri Prominent , Abdullah Hanifa , García-Torres Miguel , Parameshchari B. D. , Abdul Sattar Khalid Nazim
Published: September 2022

The Internet of Things (IoT) has had a considerable influence on our daily lives by enabling enhanced connection of devices, systems, and services that extends beyond machine-to-machine interactions and encompasses a wide range of protocols, domains, and applications. However, despite privacy concerns shown by IoT users, little has been done to reduce and protect individual information exposure. It is extremely difficult to mitigate IoT devices from reidentification threats which is why it is still a major challenge for IoT users to securely protect their information. The trust controls how we regulate privacy in our IoT platforms in the same way that it governs personal relationships. As IoT devices become increasingly linked, more data is shared across individuals, businesses, governments, and ecosystems. Technologies, sensors, machines, data, and cloud connections all rely largely on trust relationships that have been formed. With the rapid growth of additional types of IoT devices that are being introduced, it, therefore, expands privacy concerns and is difficult to develop trust with an IoT system or device without the option to regulate information privacy settings. Privacy has always been a barrier for many devices as they race for the early adoption of IoT technologies. Several Internet of Things devices or systems will continue to pose privacy threats. As a result, the main objective of this study was to examine the individual understanding of privacy and to promote information privacy protection awareness not only to IoT users but also to organizations that use IoT devices or platforms to run their day-to-day business operations. Furthermore, the objective extends to compare user knowledge and concerns about IoT privacy, as well as to identify any common attitudes and variances. However, in terms of enhancing individuals’ knowledge, an artifact was developed to educate and enhance information privacy awareness among IoT users. A pre- and postquestionnaire was generated to test and validate user knowledge regarding information privacy protection in IoT. The study was conducted using a quantitative research method. Findings indicate that IoT users’ awareness of information privacy protection turned out to be average, suggesting a need for education and awareness. Several participants stated that information privacy protection awareness is required within the community to educate, raise awareness, eliminate human error, and enable individuals to be conscious of their privacy when surfing the Internet.
Predicting Prognosis of Hepatocellular Carcinoma Patients Based on the Expression Signatures of Mitophagy Genes
Authors: Li Yan-ke , Yan Li-rong , Jiang Li-yue , Xu Qian , Wang Ben-gang
Published: September 2022

Background. The unbalance of mitophagy was closely related to hepatocellular carcinoma (HCC) progression. At present, it has not been uncovered about the influence of mitophagy genes on HCC prognosis and their potential pathogenesis. Materials and Methods. The expression and clinical information of HCC in TCGA cohort were used to identify mitophagy differentially expressed genes (MDEGs) with prognostic value. The prognostic model of mitophagy genes was built and externally validated by LASSO regression in TCGA cohort and ICGC cohort, respectively. The function of the prognostic signature and its association with immune cell infiltration were explored. The profile of MDEGs was validated with 39 pairs HCC and paracarcinoma tissues by quantitative reverse transcription-PCR (qRT-PCR). Results. A total of 18 mitophagy genes that were upregulated and contributed to poor prognosis in HCC were identified. These genes could interact with each other. The correlation analysis showed that there was positively correlation among mitophagy genes. According to optimal

λ

value, 8 mitophagy gene signatures were involved in prognostic model. Based on median risk scores, HCC patients were divided into high-risk group and low-risk group. Compared with the low-risk group, the high-risk group has worse overall survival in TCGA cohort and ICGC cohort. The univariate and multivariate Cox regression analysis suggested that risk score was an independent prognostic factor of HCC patients. Time-dependent ROC curve was used to identify and validate good predicting performance of the prognostic model. Enrichment analysis showed that risk differentially expressed genes were enriched in various metabolism and cell division processes. The immune cell infiltration score and immune function were significantly different in two groups. qRT-PCR validation result showed that QSTM1, CSNK2B, PGAM5, and ATG5 were upregulated. Conclusion. Mitophagy genes could influence HCC progression through regulating the metabolism and immune functions and could be used to predict prognosis and considered as potential prognostic biomarker and precise therapeutic target of HCC.
Motion Capture Technology of Digital Animation Art Based on Machine Learning
Authors: Liu Yi , Wang Guoyu , Wei Ning
Published: September 2022

With the progress of society and the increasing development of science and technology, digital animation technology is also constantly innovating. Motion capture technology is widely used in film, television, media, and other fields and has the characteristics of the times. The use of motion capture technology in animation production can greatly improve the accuracy and professionalism of animation performances. It plays an important role in the development of animated character activities, especially in the creation of martial arts and professional dance performances. It uses motion capture technology to create animated character performances and composite effects. In this paper, four feature selection algorithms such as document frequency (DF), information gain (IG), mutual information (MI), and the chi-square test (CHI) were used, and they were used to capture action features and feature selection application steps based on the support vector machine (SVM) algorithm and the naive Bayes (NB) algorithm. The results of the experimental study showed that the TF-CHI algorithm in the improved algorithm had an accuracy rate of 89%, and the feature selection accuracy it made was better than the traditional algorithm. Therefore, the effectiveness of the animation motion capture technology based on the machine learning motion improvement algorithm has been confirmed.
Vaccinomics to Design a Multiepitope Vaccine against Legionella pneumophila
Authors: Umar Ahitsham , Liaquat Sadia , Fatima Israr , Rehman Abdur , Rasool Danish , Alshammari Abdulrahman , Alharbi Metab , Rajoka Muhammad Shahid Riaz , Khurshid Mohsin , Ashfaq Usman Ali , Haque Asma
Published: September 2022

Legionella pneumophila is found in the natural aquatic environment and can resist a wide range of environmental conditions. There are around fifty species of Legionella, at least twenty‐four of which are directly linked to infections in humans. L. pneumophila is the cause of Legionnaires’ disease, a potentially lethal form of pneumonia. By blocking phagosome‐lysosome fusion, L. pneumophila lives and proliferates inside macrophages. For this disease, there is presently no authorized multiepitope vaccine available. For the multi‐epitope‐based vaccine (MEBV), the best antigenic candidates were identified using immunoinformatics and subtractive proteomic techniques. Several immunoinformatics methods were utilized to predict B and T cell epitopes from vaccine candidate proteins. To construct an in silico vaccine, epitopes (07 CTL, 03 HTL, and 07 LBL) were carefully selected and docked with MHC molecules (MHC‐I and MHC‐II) and human TLR4 molecules. To increase the immunological response, the vaccine was combined with a 50S ribosomal adjuvant. To maximize vaccine protein expression, MEBV was cloned and reverse‐translated in Escherichia coli. To prove the MEBV’s efficacy, more experimental validation is required. After its development, the resulting vaccine is greatly hoped to aid in the prevention of L. pneumophila infections.
Is Myasthenia Gravis a Real Complication of the COVID-19 Vaccine? A Case Report-Based Systematic Review
Authors: Mirmosayyeb Omid , Moases Ghaffary Elham , Mazdak Mahsa , Bagheri Zahra , Bagherieh Sara , Shaygannejad Vahid
Published: September 2022

Background. Myasthenia gravis (MG) is a neuromuscular, autoimmune disease that causes weakness by impairing neuromuscular transmission. According to reports, vaccines can lead to autoimmunity in different ways, and COVID-19 vaccines are suggested to trigger MG. We conducted this systematic review to assess MG patients after the COVID-19 vaccination. Methods. We collected 231 studies from four databases from inception to 26 March 2022. Results. 4 case studies were selected from 231 research studies, and data were extracted based on inclusion criteria. In all cases, MG was reported following COVID-19 vaccination. Symptoms such as muscle weakness, numbness, and ptosis were common. The MG was confirmed through RNST, MRC, NCS, and AchR-binding antibody titer tests. Conclusion. Although all cases of MG were diagnosed following appropriate tests, the sample size was small; therefore, further investigation is required to demonstrate the possible association between MG and COVID-19 vaccination.
MKK4 Knockdown Plays a Protective Role in Hemorrhagic Shock-Induced Liver Injury through the JNK Pathway
Authors: Yao Hao , Gao Yu , Han Jiahui , Wang Yan , Cai Jimin , Rui Yongjun , Ge Xin
Published: September 2022

Hemorrhagic shock (HS) triggers tissue hypoxia and organ failure during severe blood loss, and the liver is sensitive to HS. Mitogen-activated protein kinase kinase 4 (MKK4) activates the c-Jun NH2-terminal kinase (JNK) pathway, and its expression is upregulated in the serum of HS patients and mouse livers at 1 h post-HS. However, the function of MKK4 in HS-induced liver injury is unclear. The role of MKK4 was investigated in vivo using rat models of HS. Before HS, lentivirus harboring shRNA against MKK4 was injected into rats via the tail vein to knock down MKK4 expression. HS was induced by bloodletting via intubation of the femoral artery followed by resuscitation. The results showed that MKK4 knockdown reduced HS-induced apoptosis in the liver by decreasing Bax expression and the cleavage of caspase 3 and promoting Bcl-2 expression. Moreover, the generation of intracellular reactive oxygen species (ROS) and malondialdehyde (MDA) in the liver was promoted, while superoxide dismutase (SOD) activity was inhibited by HS. However, the effect of HS on oxidative stress was abrogated by MKK4 knockdown. Furthermore, MKK4 knockdown restored MMP and complex I and complex III activities and promoted ATP production, suggesting that HS-induced mitochondrial dysfunction in the liver was ameliorated by MKK4 knockdown. The inhibitory effect of MKK4 knockdown on the phosphorylation and activation of the JNK/c-Jun pathway was confirmed. Overall, MKK4 knockdown may suppress oxidative stress and subsequent apoptosis and improve mitochondrial function in the liver upon HS by inhibiting the JNK pathway. The MKK4/JNK axis was shown to be a therapeutic target for HS-induced liver injury in this study.
Investigation on the Extraction Methods of Timbre Features in Vocal Singing Based on Machine Learning
Authors: Zang Lu
Published: September 2022

With the continuous development of digital technology, music, as an important form of media, and its digital audio technology is also constantly developing, forcing the traditional music industry to start the road of digital transformation. What kind of method can be used to automatically retrieve music information effectively and quickly in vocal singing has become one of the current research topics that has attracted much attention. Aiming at this problem, it is of great research significance for the field of timbre feature recognition. With the in-depth research on timbre feature recognition, the research on timbre feature extraction by machine learning in vocal singing has also been gradually carried out, and its performance advantages are of great significance to solve the problem of automatic retrieval of music information. This paper aims to study the application of feature extraction algorithm based on machine learning in timbre feature extraction in vocal singing. Through the analysis and research of machine learning and feature extraction methods, it can be applied to the construction of timbre feature extraction algorithms to solve the problem of automatic retrieval of music information. This paper analyzed vocal singing, machine learning, and feature extraction, experimentally analyzed the performance of the method, and used related theoretical formulas to explain. The results have showed that the method for timbre feature extraction in the vocal singing environment was more accurate than the traditional method, the difference between the two was 24.27%, and the proportion of satisfied users was increased by 33%. It can be seen that this method can meet the needs of users for timbre feature extraction in the use of music software, and the work efficiency and user satisfaction are greatly improved.
Application of Mathematical Model in Orthodontics
Authors: Wang Qing , Jiang Ziran , Xue Zhilun , He Wulin , He Zhiwei
Published: September 2022

With the development of digital information technology and big data technology, the medical industry has also undergone tremendous changes. Traditional medical treatment mainly relies on the technical experience of the attending doctor for treatment, and there is no sophisticated instrument or scientific analysis system to assist in treatment. With the improvement of people’s living standards, people’s attention to teeth has increased significantly. Traditional orthodontics is based on the subjective judgment of orthodontists and manual treatment. Due to the differences in the experience of orthodontists, the traditional orthodontic effect is often very poor. Using digital information and big data technology to carry out quantitative diagnosis and treatment analysis of teeth, 3D modeling, and simulation of prosthesis, personalized treatment of the prosthesis model, and finally applied to orthodontics, digital-based orthodontics make the orthodontic diagnosis and treatment process evidence-based, safer, and more effective. This article compares orthodontics and traditional oral orthodontics based on the mathematical model, to analyze the comfort of orthodontics, the aesthetics of orthodontics, the matching degree of aligners, and the stability of the environment in the periodontal ligament. It is concluded that the average orthodontic comfort based on the mathematical model is 85.6%, and the average aesthetic degree is 64.0%, which are more than 20% better than traditional orthodontics. It is also superior to traditional orthodontics in terms of the degree of matching of the appliance and the stability of the environment in the periodontal ligament. Therefore, the combination of mathematical models and orthodontics can lead to better orthodontic results.
Application of Multi-Feature Fusion Based on Deep Learning in Pedestrian Re-Recognition Method
Authors: Han Ke , Zhang Ning , Xie Haoyang , Wang Qianlong
Published: September 2022

A system known as pedestrian recognition makes use of several cameras to identify the surrounding area and quickly identify and match the target demographic. Based on pedestrian recognition, the picture model, pedestrian features, and other information, the features are developed to have a high degree of generalizability, distinctiveness, and accuracy. The application approach for pedestrian re-recognition based on deep learning for numerous features is proposed in this paper. The suggested approach successfully preserves high-level semantic information, which helps network members extract all of the pedestrian properties. As external material and semantic information were combined horizontally and vertically, environmental interference was decreased, and people’s ability to create networks was enhanced. The voice channel of the speech system was introduced in order to fully utilize the global information network, and the connection between the channels was carefully addressed in order to enhance the global information network’s capacity for expression. The null convolution reduced the operational continuity of the identification information. To increase the consistency of the data, the multi-level spatial convolution structure was merged with the entire image in this paper. After numerous experiments, the three groups were 89.5%, 89.5%, and 89.1%, respectively, compared to 1501, DukeMTMC-reID, CUHK03, and other medial groups, and the experimental results were 85% and 89.5%, respectively. The multimode feedback MP3 module was taken from the MP3 module in order to gain richer and denser multimode feature information. Comparing the module’s initial response level (RANK1) with the various cycles yields the average accuracy for each cycle (catalog). The experiment demonstrates that the two mixed pile groups can enhance the modulus of the mixed pile group and get better results. The multi-level multi-scale pole function effectively combines the characteristics of pedestrians in various scales, and the addition of the ASP module enhanced the network context information’s overall ability to be represented, aided in this chapter’s research method’s ability to more thoroughly analyze scene structure, and increased the precision of pedestrian re-recognition.
Hesperidin Inhibits the p53-MDMXInteraction-Induced Apoptosis of Non-Small-Cell Lung Cancer and Enhances the Antitumor Effect of Carboplatin
Authors: Feng Yu , Huo Hongjie , Tang Qiong
Published: September 2022

Objective. This study aimed to observe the effect of hesperidin on the apoptosis, proliferation, and invasion of non-small-cell lung cancer, as well as to explore the possible mechanism. The inhibitory effect of hesperidin combined with carboplatin on non-small-cell lung cancer was also investigated. Methods. A549 and NCI-H460 cells were treated with different concentrations of hesperidin (10, 50, and 100 μM). The effect of siRNA knockdown on MDMX on the antitumor effect of hesperidin was observed. CCK-8 was used to detect cell activity. The apoptosis rate was determined by TUNEL. The transwell assay detects the ability of cell migration and invasion. The expression levels of the apoptosis-related proteins p53, MDM2, MDMX, p21, PUMA, Bcl-2, and Bax were detected by qRT-PCR. Cell-proliferation and transwell assays were used to detect the effects of the combined use of hesperidin and carboplatin on lung cancer cells. Results. Hesperidin significantly inhibited the activity and invasion of A549 and NCI-H460 cells in a dose-dependent manner. Hesperidin also induced the apoptosis of A549 and NCI-H460 cells. Hesperidin further inhibited the interaction between p53 and MDMX, increased the expression of p53, and played an anticancer role. The combination of hesperidin and carboplatin showed the most obvious antitumor effect. Conclusion. Hesperidin can inhibit lung cancer by inhibiting the interaction between p53 and MDMX. Moreover, the combination of hesperidin and carboplatin can inhibit the migration and invasion of lung cancer cell lines through p53 upregulation, thereby increasing the antitumor effect of carboplatin.
Medium and Long-Term Fault Prediction of Avionics Based on Echo State Network
Authors: Gao Chi , Li Bin , Dai Zhen
Published: September 2022

As one of the core equipment of aircraft, avionics provide a power source for flight. Avionics are complex and highly susceptible to environmental factors. Failure in the long flight process is also relatively large, affecting the stability and safety of aircraft operation. Therefore, it is of great significance to predict the typical faults of avionics. At present, a lot of research achievements have been made on the fault diagnosis of avionics, but the failure prediction of avionics is rarely involved, especially the middle and long-term fault prediction. Hence, this paper proposes a fault prediction method for avionics based on an echo state network. In particular, one-dimensional wavelet denoising filtering and z-score standardized preprocessing are carried out to obtain pure useable data first. Then, the set training data are input into the ESN model. When the model is well trained, the test data can be used to test the model. Finally, the experimental results demonstrate that the proposed ESN model can effectively improve the medium and long-term prediction accuracies of the faults in avionics equipment. Besides, the proposed model can not only identify the types of faults but also predict the specific time when the faults occur. It guarantees the safe and stable operation of the equipment and supports the stable development of the air transport industry, which has great theoretical and practical application value.
Effect of Soil Management Practices on Soil Physico-Chemical Properties: A Case of Wera Sub-Watershed, Southern Ethiopia
Authors: Sinore Tamrat , Chernet Mulatu , Detamo Kibemo , Yohannes Mekiso
Published: September 2022

Soil degradation is a global challenge for agricultural productivity. To tackle this, the Ethiopian government and different NGOs launched soil management technologies in different parts of Ethiopia, including the Wera sub-watershed in Anlemo district, southern Ethiopia. This study was carried out to investigate the effect of soil management practices on soil properties at various landscape positions in the Wera sub-watershed. To achieve the intended objective, the 27 composite soil samples were collected from soil bund with desho grass, fanya-juu with desho grass and no management practices (control) with three replications at three landscape positions from 0 to 30 cm depth whereas, 27 undisturbed soil samples were collected for bulk density analysis. The collected soil samples were analyzed for soil texture, soil reaction, cation exchange capacity, organic carbon, total nitrogen, and available phosphorus. The result showed that soil bund with desho grass and fanya-juu with desho grass were significantly influenced selected soil physico-chemical properties when compared with no management measures. In addition, landscape position has significantly (p≤0.05) influenced the selected physico-chemical properties of soil. Hereafter, soil bund with desho grass and fanya-juu with desho grass practices were found to be effective in changing landscape positions and advancing soil productiveness. Therefore, implementing soil bund with desho grass and fanya-juu with desho grass by considering landscape position is vital for increasing soil productivity via minimizing soil loss.
miR-187/PDLIM1 Gets Involved in Gastric Cancer Progression and Cisplatin Sensitivity of Cisplatin by Mediating the Hippo-YAP Signaling Pathway
Authors: Tan Yeru , Li Yuehua , Zhu Hongbo , Wu Xiaoping , Mei Kai , Li Pian , Yang Qiao
Published: September 2022

Gastric cancer (GC) is one of the most prevalent malignancies in the digestive system across the world. The function and mechanism of PDLIM1, a cancer-suppressing gene, in gastric cancer progression remain unclear. This study is aimed at investigating the expression features and function of PDLIM1 in GC. RT-qPCR and western blot were used to compare the profiles of PDLIM1 and miR-187 between GC and normal tissues. The cell models of PDLIM1 overexpression and low expression were established in gastric cancer cell lines MKN45 and AGS. CCK8 and BrdU assays measured cell proliferation. Flow cytometry monitored cell apoptosis. Transwell analyzed cell invasion and migration. The influence of miR-187 overexpression on gastric cancer development was assessed. We predicted the targeted correlation between miR-187 and PDLIM1 through bioinformatics, which was corroborated via dual luciferase activity assay and RIP. Meanwhile, the cell model of PDLIM1 overexpression was built in AGS cells transfected with miR-187 mimics. A rescue experiment was conducted to assess the impact of PDLIM1 overexpression on the procancer function of miR-187. As a result, in contrast with normal paracancer tissues, PDLIM1 was substantially downregulated in GC tissues. Moreover, PDLIM1 overexpression considerably dampened proliferation, invasion, and migration in GC cells, boosted the cell apoptosis, and bolstered their sensitivity to cisplatin. PDLIM1 knockdown or miR-187 overexpression dramatically fostered GC cell proliferation, invasion, and migration and repressed cell apoptosis. Mechanism studies demonstrated that PDLIM1 vigorously restrained the profiles of the Hippo-YAP signaling pathway and the downstream target genes. miR-187 targeted PDLIM1, while miR-187 overexpression cramped PDLIM1 expression. The rescue experiment suggested that PDLIM1 overexpression weakened the procancer function of miR-187 in GC cells. In conclusion, our study demonstrated that PDLIM1 presented a low expression in GC tissues, while miR-187/PDLIM1 participated in GC development and cisplatin sensitivity by mediating the Hippo-YAP signaling pathway.
Machine-Vision-Based Intelligent Manufacturing by Fine-Grained Point Cloud Identification
Authors: Li Yinhai , Wang Fei , Jiang Yang
Published: September 2022

Traditional manufacturing system inspections are primarily conducted through microtools. Nowadays, the size of consciously manufactured parts that is getting smaller and smaller, wherein unwritten methods are subject to subjectivity, often resulting in reckless deviations. It is necessary to develop a highly efficient and correct discovery technique. Given the leaned flexibility of traditional manufacturability analysis methods based on cognitive notoriety and empire foundation, the reality that existing manufacturability analysis methods based on full scientific support cannot give a specific purpose for capability manufacturability. A deep cognition support framework grants the manufacturability analysis example. Manufacturing separative methods are presented as imitate. First, a large enumeration of 3D CAD plan with specific manufacturability are made by digital modeling technology, wherein the tier genealogy is realized to cause the data adjustments required for thorough academics. Then, concavity-oriented designs are established on the PointNet entangle form manufacturability. Dense learned grids were analyzed, and network parameter tuning and management were done; then comparisons with voxel-representation-enabled three-dimensional convolutional neural networks (3D-CNN) and existing methods revealed detailed literature for fabricating networks with better robustness and lower algorithm cycle complexity; finally, the actual completion of the network is verified through the example section, and the manufacturability of the cave shape is analyzed to identify the unmanufacturable overall form and explain its considerations. The experimental results have shown that the rule can determine the specific reasons for the unmanufacturable shape under the condition of ensuring the complete notification accuracy ratio, and has a great reproducibility value.
Research Progress on the Relationship between Dietary Patterns and Hyperuricemia
Authors: Long Tian , Liu Liang
Published: September 2022

As the final metabolite of purine metabolism, uric acid is critically associated with human health. The serum uric acid level is regulated by diet and the metabolic capacity of the human body. The impaired control of uric acid metabolism and excretion is associated with the increased level of serum uric acid, which ultimately results in hyperuricemia. Hyperuricemia is the “fourth-highest” after hypertension, hyperglycemia, and hyperlipidemia. With progress made in the relationship between diet and hyperuricemia, different dietary patterns and lifestyles have been discussed, such as exercise, the amount intake of meat, seafood, supplements with omega-3 fatty acids, sugar-sweetened soft drinks and energy drinks, and lower-fat-containing foods as well as drinking beer, wine, and spirits in the present article. This study demonstrated that a lower risk of hyperuricemia is substantially correlated with higher baseline adherence to MeDiet, and plant polyphenols can combat hyperuricemia by blocking xanthine oxidase.