bluuebunny/crossref_metadata_2025 huggingface dataset:
Traffic signal optimization for partially observable traffic system and low penetration rate of connected vehicles
Authors: Zhang Zhao , Guo Mengdi , Fu Daocheng , Mo Lei , Zhang Siyao
Published: August 2022

Observability and controllability are two critical requirements for a partially observable transportation system. This paper proposes a stepwise signal optimization framework with connected vehicle (CV) data as input to solve both challenges. First, a Bayesian deduction method based on low‐penetration CV data is established to estimate the traffic volume. Thereafter, an offline signal optimization model is constructed to simultaneously optimize the flexible lane settings and signal timings, which are set as the prior information for the third step. In the third step, an online deep recurrent Q‐learning (DRQN) signal optimization model dynamically adjusts signal settings based on real‐time traffic information. Numerical experiments demonstrate that the model outperforms the actuated control, the online DQRN model without offline filter, and the back‐pressure model by 9%–66% and 7%–29% in two networks. This study innovatively combines traffic state estimation and traffic signal control as an integrated process. It contributes to an improved understanding of traffic control in a CV environment and lays a solid foundation for future traffic control strategies.
Morphometrics of mammal‐eating killer whales from drone photogrammetry, with comparison to sympatric fish‐eating killer whales in the eastern North Pacific
Authors: Kotik Chloe , Durban John W. , Fearnbach Holly , Barrett‐Lennard Lance G.
Published: August 2022

Aerial photogrammetry has provided increased power for monitoring the health of individuals in the endangered population of Southern Resident killer whales (SRKW,Orcinus orca) in the eastern North Pacific. These data have shown evidence of nutritional stress, with individual growth and body condition correlating with the availability of their primary prey, Chinook salmon (Oncorhynchus tshawytscha). We used drones to derive similar but novel photogrammetry measurements from a sympatric population of mammal‐eating Bigg's killer whales (BKWs) that has been increasing in abundance in recent decades. From 2014 to 2019 we photographed 95 individual BKWs in Canadian waters off Vancouver Island and US waters in the Salish Sea; we estimated asymptotic lengths of 6.4 m for adult females and 7.3 m for adult males, both longer than corresponding length estimates for SRKWs. As a proxy for body condition, we measured head width at a standardized distance behind the blowhole, expressed as proportion of the length between the blowhole and dorsal fin, and estimated that on average, all age/sex classes of BKWs were more robust than corresponding classes of SRKWs. These differences likely reflect divergent adaptive selection in these prey‐specialist ecotypes, but may also partially indicate recent impacts of differential prey availability.
What can aerial phenotyping do and bring to us (breeders)?
Authors: Yang Wanneng , Zhai Ruifang
Published: August 2022

This article is a Commentary on Sun et al. (2022), 236: 1584–1604.
Chloroplast‐localized PITP7 is essential for plant growth and photosynthetic function in Arabidopsis
Authors: Kim Eun‐Ha , Poudyal Roshan Sharma , Lee Kyeong‐Ryeol , Yu Hami , Gi Eunji , Kim Hyun Uk
Published: August 2022

Recent studies of chloroplast‐localized Sec14‐like protein (CPSFL1, also known as phosphatidylinositol transfer protein 7, PITP7) showed that CPSFL1 is necessary for photoautotropic growth and chloroplast vesicle formation in Arabidopsis (Arabidopsis thaliana). Here, we investigated the functional roles of CPSFL1/PITP7 using twoA. thalianamutants carrying a putative null allele (pitp7‐1) and a weak allele (pitp7‐2), respectively.PITP7transcripts were undetectable inpitp7‐1and less abundant inpitp7‐2than in the wild‐type (WT). The severity of mutant phenotypes, such as plant developmental abnormalities, levels of plastoquinone‐9 (PQ‐9) and chlorophylls, photosynthetic protein complexes, and photosynthetic performance, were well related toPITP7transcript levels. Thepitp7‐1mutation was seedling lethal and was associated with significantly lower levels of PQ‐9 and major photosynthetic proteins.pitp7‐2plants showed greater susceptibility to high‐intensity light stress than the WT, attributable to defects in nonphotochemical quenching and photosynthetic electron transport. PITP7 is specifically bound to phosphatidylinositol phosphates (PIPs) in lipid‐binding assays in vitro, and the point mutations R82, H125, E162, or K233 reduced the binding affinity of PITP7 to PIPs. Further, constitutive expression of PITP7H125Qor PITP7E162Kinpitp7‐1homozygous plants restored autotrophic growth in soil but without fully complementing the mutant phenotypes. Consistent with a previous study, our results demonstrate that PITP7 is essential for plant development, particularly the accumulation of PQ‐9 and photosynthetic complexes. We propose a possible role for PITP7 in membrane trafficking of hydrophobic ligands such as PQ‐9 and carotenoids through chloroplast vesicle formation or direct binding involving PIPs.
An interdisciplinary synthesis of research on understanding and promoting well‐doing
Authors: Lieder Falk , Prentice Mike , Corwin‐Renner Emily R.
Published: August 2022

People's intentional pursuit of prosocial goals and values (i.e., well‐doing) is critical to the flourishing of humanity in the long run. Understanding and promoting well‐doing is a shared goal across many fields inside and outside of social and personality psychology. Several of these fields are (partially) disconnected from each other and could benefit from more integration of existing knowledge, interdisciplinary collaboration, and cross‐fertilization. To foster the transfer and integration of knowledge across these different fields, we provide a brief overview with pointers to some key articles from each field, highlight connections, and introduce an integrative model of the psychological mechanisms of well‐doing. We identify some gaps in the current understanding of well‐doing, such as the paucity of research on well‐doing with large and long‐lasting positive consequences. Building on this analysis, we identify opportunities for high‐impact research on well‐doing in social and personality psychology, such as understanding and promoting the effective pursuit of highly impactful altruistic goals.
Parallel analysis of RNA ends reveals global microRNA‐mediated target RNA cleavage in maize
Authors: He Juan , Xu Chi , You Chenjiang , Mo Beixin , Chen Xuemei , Gao Lei , Liu Lin
Published: August 2022

MicroRNAs (miRNAs) are endogenous 20–24‐nucleotide non‐coding RNAs that play important regulatory roles in many biological processes in eukaryotes. miRNAs modulate the expression of target genes at the post‐transcriptional level by transcript cleavage or translational inhibition. The identification of miRNA target genes has been extensively investigated in Arabidopsis and rice, but an in‐depth global analysis of miRNA‐mediated target regulation is still lacking in maize. Here, we report a transcriptome‐wide identification of miRNA targets by analyzing parallel analysis of RNA ends (PARE) datasets derived from nine different tissues at five developmental stages of the maize (Zea mays L.) B73 cultivar. In total, 246 targets corresponding to 60 miRNAs from 25 families were identified, including transcription factors and other genes. In addition, PARE analysis revealed that miRNAs guide specific target transcript cleavage in a tissue‐preferential manner. Primary transcripts of MIR159c and MIR169e were found to be cleaved by mature miR159 and miR169, respectively, indicating a negative‐feedback regulatory mechanism in miRNA biogenesis. Moreover, several miRNA‐target gene pairs involved in seed germination were identified and experimentally validated. Our PARE analyses generated a wide and detailed miRNA‐target interaction atlas, which provides a valuable resource for investigating the roles of miRNAs and their targets in maize.
Relationship Between Age and Running Kinematics in Female Recreational Runners
Authors: Hamilton Heather M. , Kakar Rumit Singh
Published: August 2022

Sex-based analyses are important when studying running kinematics. Females experience a unique aging process and demonstrate differences in running biomechanics from males. The purpose was to determine the relationship between age and running kinematics in female runners. Forty-six female runners (18–65 y) ran at self-selected jogging and maximal speed on a treadmill. Lower-extremity joint kinematics were calculated, and 2 principal component analyses (jogging speed and maximal speed) were performed from kinematic variables. Regression was used to examine the relationship between age and identified components, and between age and the variables with the highest loadings within these components. For jogging speed, there was a positive relationship between age and ankle varus at initial contact and a negative relationship between age and peak eversion, hip adduction, knee flexion, dorsiflexion, and hip adduction at initial contact (Ps < .05). For maximal speed, initial contact ankle frontal plane angle became more positive with age, and there was a negative relationship with age and peak eversion, dorsiflexion and knee flexion, and knee flexion and hip adduction at initial contact (Ps < .05). Primarily distal joint angles decreased with increasing age in female recreational runners at self-selected running speeds.
Geodesics in generalised Ellis–Bronnikov spacetime embedded in warped 5D background
Authors: Sharma Vivek , Ghosh Suman
Published: August 2022

We study the particle trajectories in the recently proposed five dimensional warped (generalized) Ellis–Bronnikov spacetime (5D-WGEB) (which does not require exotic matter) as well as it’s four dimensional counterpart (4D-GEB) in detail and conduct a comparative study. Analytical approach provides conditions which determines three types of trajectories (trapped, returning and crossing) for both 4D and 5D spacetimes. Notably in 5D geometry existence of trapped trajectories become highly sensitive to the initial conditions. We have solved the timelike geodesic equations numerically and presented the trajectories graphically along with corresponding geodesic potentials. We thus distinguished the roles of the so-called wormhole parameter and the warping factor regarding their effects on the trajectories and embedding as such. Interestingly, the 5D-WGEB model shows the localization of massive particles around the location of the brane for growing warp factor and runaway trajectories for decaying warp factor.
Computing spacetime
Authors: Pedraza Juan F. , Russo Andrea , Svesko Andrew , Weller-Davies Zachary
Published: August 2022

Inspired by the universality of computation, we advocate for a principle of spacetime complexity, where gravity arises as a consequence of spacetime optimizing the computational cost of its own quantum dynamics. This principle is explicitly realized in the context of the Anti-de Sitter/Conformal Field Theory correspondence, where complexity is naturally understood in terms of state preparation via Euclidean path integrals, and Einstein’s equations emerge from the laws of quantum complexity. We visualize spacetime complexity using Lorentzian threads which, conceptually, represent the operations needed to prepare a quantum state in a tensor network discretizing spacetime. Thus, spacetime itself evolves via optimized computation.
ADAPTIVE TRACKING CONTROL FOR FRACTIONAL-ORDER NONLINEAR UNCERTAIN SYSTEMS WITH STATE CONSTRAINTS VIA COMMAND-FILTERING AND DISTURBANCE OBSERVER
Authors: XUE GUANGMING , QIN BIN , ZHANG XIULAN , CHERIF BAHRI , LI SHENGGANG
Published: August 2022

In this paper, the state-constrained adaptive control problem for a class of uncertain fractional-order nonlinear systems with unknown external disturbances is studied. Using the fuzzy approximation and backstepping control layout, an adaptive disturbance-observer-based control method is proposed, which can effectively estimate the unknown external disturbances through the designed disturbance observers. As we know, the standard backstepping control has inherent computational complexity. Therefore, a design approach of fractional-order command filter is introduced, which takes advantage of fractional-order command filter to pre-estimate the virtual input signal and its fractional derivative. In addition, barrier Lyapunov functions are exploited to cope with the fractional states-constrained control problem. The combination of barrier Lyapunov function technique and backstepping design not only ensures excellent tracking performance, but also enhances the robustness of the system. Furthermore, based on the fractional Lyapunov approach, the relevant stability analysis is established, which demonstrates that all states of the system remain within their constrained scope, and all signals of the closed-loop system are bounded. Finally, the effectiveness of the proposed scheme is verified by numerical simulation examples of RLC circuit and horizontal platform system.
Edge-computing-driven Internet of Things: A Survey
Authors: Kong Linghe , Tan Jinlin , Huang Junqin , Chen Guihai , Wang Shuaitian , Jin Xi , Zeng Peng , Khan Muhammad , Das Sajal K.
Published: August 2022

The Internet of Things (IoT) is impacting the world’s connectivity landscape. More and more IoT devices are connected, bringing many benefits to our daily lives. However, the influx of IoT devices poses non-trivial challenges for the existing cloud-based computing paradigm. In the cloud-based architecture, a large amount of IoT data is transferred to the cloud for data management, analysis, and decision making. It could not only cause a heavy workload on the cloud but also result in unacceptable network latency, ultimately undermining the benefits of cloud-based computing. To address these challenges, researchers are looking for new computing models for the IoT. Edge computing, a new decentralized computing model, is valued by more and more researchers in academia and industry. The main idea of edge computing is placing data processing in near-edge devices instead of remote cloud servers. It is promising to build more scalable, low-latency IoT systems. Many studies have been proposed on edge computing and IoT, but a comprehensive survey of this crossover area is still lacking.

In this survey, we first introduce the impact of edge computing on the development of IoT and point out why edge computing is more suitable for IoT than other computing paradigms. Then, we analyze the necessity of systematical investigation on the edge-computing-driven IoT (ECDriven-IoT) and summarize new challenges occurring in ECDriven-IoT. We categorize recent advances from bottom to top, covering six aspects of ECDriven-IoT. Finally, we conclude lessons learned and propose some challenging
BoA-PTA: A Bayesian Optimization Accelerated PTA Solver for SPICE Simulation
Authors: Xing Wei W. , Jin Xiang , Feng Tian , Niu Dan , Zhao Weisheng , Jin Zhou
Published: August 2022

One of the greatest challenges in integrated circuit design is the repeated executions of computationally expensive SPICE simulations, particularly when highly complex chip testing/verification is involved. Recently, pseudo-transient analysis (PTA) has shown to be one of the most promising continuation SPICE solvers. However, the PTA efficiency is highly influenced by the inserted pseudo-parameters. In this work, we proposed BoA-PTA, a Bayesian optimization accelerated PTA that can substantially accelerate simulations and improve convergence performance without introducing extra errors. Furthermore, our method does not require any pre-computation data or offline training. The acceleration framework can either speed up ongoing, repeated simulations (e.g., Monte-Carlo simulations) immediately or improve new simulations of completely different circuits. BoA-PTA is equipped with cutting-edge machine learning techniques, such as deep learning, Gaussian process, Bayesian optimization, non-stationary monotonic transformation, and variational inference via reparameterization. We assess BoA-PTA in 43 benchmark circuits and real industrial circuits against other SOTA methods and demonstrate an average of 1.5x (maximum 3.5x) for the benchmark circuits and up to 250x speedup for the industrial circuit designs over the original CEPTA without sacrificing any accuracy.
Bearing Fault Identification Method under Small Samples and Multiple Working Conditions
Authors: Wu Yuhui , Liu Licai , Qian Shuqu , Tian Jianyong
Published: August 2022

Aiming at the problem of the low bearing faults identification accuracy of the method based on the deep neural network under small samples and multiple working conditions, a novel bearing fault identification method combined with the coordinate delay phase space reconstruction method (CDPSR), residual network, meta-SGD algorithm, and the AdaBoost technology was proposed. The proposed method firstly calculates the high-dimensional space coordinates of bearing vibration signals using the CDPSR method and uses these coordinates to construct a training set, then learns and updates the parameters of classifier networks using the meta-SGD algorithm with the train set, iteratively trains multiple classifiers, and finally integrates those classifiers to form a strong classifier by AdaBoost technology. The 4-way and 20-shot experiments of artificial and natural bearing faults show that the proposed method can identify the fault samples and nonfault samples with 100% accuracy, and the fault location accuracy is over 90%. Compared with some state-of-the-art methods such as WDCNN and CNN-SVM, the proposed method improves the fault identification accuracy and stability to a certain extent. The proposed method has high fault identification accuracy under small samples and multiworking conditions, which makes it applicable in some practical areas of complex working conditions and difficulty obtaining bearing fault signals.
Laser Short-Pulse Effect on Thermodiffusion Waves of Fractional Heat Order for Excited Nonlocal Semiconductor
Authors: Almoneef Areej A. , El-Sapa Shreen , Lotfy Kh. , El-Bary A. , Saeed Abdulkafi M.
Published: August 2022

In this work, the thermal effect of a laser pulse is taken into account when mechanical-thermodiffusion (METD) waves are studied. The nonlocal semiconductor material is used when interference between holes and electrons occurs. The fractional technique is applied on the heat equation according to the photo-thermoelasticity theory. The governing equations describe the photo-excitation processes according to the overlapping between the thermoelasticity and photothermal theories. The thermoelastic deformation (TD) and the electronic deformation (ED) for the dimensionless fields are taken in one dimension (1D). The Laplace transforms are applied to obtain the analytical solutions when some initial and boundary conditions are applied at the nonlocal surface. The complete nondimensional solutions of the main quantities are obtained according to some numerical simulation approximate during the inversion processes of Laplace transforms and Fourier expansion. The time-fractional order, nonlocal, and thermal memories are used to compare the wave propagations of the main fields and are discussed graphically for nonlocal silicon material.
Clinicopathological Features of Inflammatory Myofibroblastic Tumor in the Breast
Authors: Liu Shifei , Yuan Rui , Jin Yulan , He Chunyan , Zheng Xingzheng , Zhan Yang
Published: August 2022

Inflammatory myofibroblastic tumor (IMT) is a mesenchymal spindle cell tumour with low malignant potential which is extremely rare in breasts. Because of the lack of typical imaging and clinical characteristics of IMT, it is easy to misdiagnose before operation. We now report a case of a 37-year-old woman presenting with a mass in her left breast. Ultrasound showed a well-circumscribed lesion in the lower outer quadrant. The patient underwent lumpectomy, and histopathology revealed a tumor which was composed of fusiform cells and inflammatory cells. Immunohistochemistry (IHC) showed tumor cells are positive for vimentin, ALK, BCL2, and SMA. The FISH test demonstrated ALK (2p23) chromosomal translocation (ALK positive). The final diagnosis of breast IMT was rendered with nonclassical morphology. Postoperative 30-month follow-up no evidence showed residual tumor or recurrence. As a very rare tumor, breast IMT could be easily misdiagnosed clinically and pathologically. Complete surgical resection of the tumor is preferred, and it has the risk of recurrence and metastasis.
Impact of Financing Constraints on Firm Performance: Moderating Effect Based on Firm Size
Authors: Yao Yonghong , Feng Jing , Yang Qiaowen
Published: August 2022

This paper selects the relevant data of Shanghai and Shenzhen NG listed companies from 2016 to 2020 as the research object. By drawing on relevant research results at home and abroad, the variable KZ is used to measure the degree of corporate financing constraints, and the variable Tobin Q is used to measure corporate performance. The test draws the following conclusions: financing constraints are conducive to improving corporate performance. The reason is that the higher the degree of corporate financing constraints is, the more cautious the managers are in the use of funds, and the company managers can formulate more scientific management strategies, so as to improve corporate performance. Through further research, it is found that, with the expansion of the scale of the enterprise, the degree of financing constraints has less negative impact on the performance of the enterprise. Performance has a positive impact. According to the above conclusions, the government should improve the financial market system, build a multilevel capital market, and fundamentally ease the financing constraints of enterprises, to develop and improve self-management.
Compression Performance and Calculation Method of Thin‐Walled Prefabricated Steel Tube Lightweight Concrete Columns
Authors: Li Yue , Wu Xinlan , Li Xiaorun , Zhang Kechao , Gao Chongming
Published: August 2022

To investigate the axial compression performance of cold‐formed thin‐walled steel tube lightweight concrete columns, the compressive test was carried out on four groups of 12 specimens. And the effects of factors such as section size, concrete strength, and steel content of the members on the axial compression bearing capacity were investigated. The results show that (1) the main failure of the cold‐formed thin‐walled steel lightweight concrete column is the local buckling of the steel wall and crushed of the core concrete. The presence of infill concrete suppressed and delayed the buckling of the tube wall. (2) The bearing capacity of cold‐formed thin‐walled steel lightweight concrete columns increases with the strength of the infill concrete. When the slenderness ratio is same, the bearing capacity and ductility of the columns with more steel content are higher than those of lower steel content. (3) The calculation method of the bearing capacity for the cold‐formed thin‐walled steel lightweight concrete column was proposed and verified.
Deconstruction of Immersive Animation Image Interaction Design under Virtual Reality Technology
Authors: Li Xiaoxia , Zhang Chen , Wu Yonghui
Published: August 2022

With the increasing pressure of social life, people generally have different degrees of psychological problems, which brings serious troubles to people’s life and work. As one of the main forms of art, animation is a good medicine for breaking fantasy and returning to reality. Animation is one of the ways of art therapy, and animation art design is the soul of animation therapy. However, the art design of traditional animation cannot bring a strong sense of resonance and cannot arouse people’s inner emotions. Virtual reality can bring users an immersive experience, so it can really immerse the audience and release psychological pressure. The article firstly reoptimizes animation modeling technology and then combines it with art design, comprehensively uses art design and interactive technology to generate virtual space, and finally puts forward the concept of animation art design based on virtual reality technology. It aims to construct virtual animation from animation art design to help patients relieve psychological barriers. After repeated comparison experiments, it can be found that in the process of watching interactive animations on the virtual reality platform, if the overall style of the animation is more comfortable and warm, the user’s psychological perception will reach 78%, and the emotional fluctuation range will be less than 10%. When the animation style is relatively dark and depressing, the user’s psychological perception is only 45%, and the audience is very likely to think of a bad life experience, and the possibility of causing psychological disorders is 69.1%. This shows that the warm and comfortable animation art design can smooth people’s emotional fluctuations and relieve psychological obstacles.
A Basketball Training Posture Monitoring Algorithm Based on Machine Learning and Artificial Intelligence
Authors: Hou Shihao , Lian Bizhen , Li Wenhao , Tang Hong
Published: August 2022

To increase the widespread attention of human gesture recognition technology, this paper proposes a basketball pose recognition method based on unit action division. Initially, the human gesture recognition algorithm is introduced for the verification of various effects and gestures of basketball players by monitoring various actions of basketball and to obtain the data of limbs using different detectors for different basketball movements. A large amount of data collection work was carried out for the experiment, and the corresponding experimental scenarios were described in the experimental design for testing. The methods for data processing and data division presented in this work are used to process the collected data. A feature vector set that describes a particular action is acquired and used as a sample set. The sample set is then delivered to the classifier. The classifier is implemented here based on the already-existing Weka platform, and performance evaluation and analysis of various classifiers are implemented. The results show that the differential limb function category has a better recognition effect on BP. The average accuracy of upper limb function was 92.19%, the average recall rate was 92.19%, and the accuracy of lower limb was much higher. The average accuracy of the four algorithms was within the range of 96.99% to 99.19% for lower limb movements and 84.89% to 92.19% for upper limb movements. The BP prosthetic network is used to create separate classifiers, ensuring that each basketball move was more than 95% accurate and that the average accuracy per basketball move was much more accurate. As a result, the accuracy level reached up to 98.85%. The validity of the basketball gesture recognition method recognized by the authors is sufficient and reasonable.
Construction and Analysis of Indicators of the Labor Education System Based on the Gray Correlation Degree Model
Authors: Huang Ling
Published: August 2022

Labor education is a complex concept whose value is not only the sum of labor + education. It plays an extremely important role in the growth education of students. Its fundamental purpose is to cultivate students’ good technical literacy, improve their practical skills, and form innovative thinking. The monitoring data show that the path of labor education in schools is good, but there are also problems such as unbalanced development of labor practice, insufficient leading role of schools, insufficient basic role of families, and serious lack of social support. Responsibility index, learning motivation, motor health, and self-awareness are significantly and positively correlated with labor practice index. Based on the gray relationship theory, this paper selected relevant data of Chinese students, calculated the comprehensive gray relationship degree between each factor and students’ labor reeducation level, and analyzed the variables; the new connotation of education, the construction of labor education evaluation index system, and the construction of labor education support system were studied.
Identification of Potential Biomarkers of Platelet RNA in Glioblastoma by Bioinformatics Analysis
Authors: Chen Xianjun , Lin Qianxia , Jiang Yong’an , Wang Changfeng , Min Feixiang , Ou Yue , Xia Yinghua , Yu Gui , Liu Ru’en
Published: August 2022

Objective. Glioblastoma is one of the most common and fatal malignancies in adults. Current treatment is still not optimistic. Glioblastoma (GBM) transports RNA to platelets in the blood system via microvesicles, suggesting that platelet RNA can be a potential diagnostic and therapeutic target. The roles of specific platelet RNAs in treatment of GBM are not well understood. Methods. Platelet RNA profiling of 8 GBM and 12 normal samples were downloaded from the GEO database. Differentially expressed genes (DEGs) were identified between tumors and normal samples. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to elucidate the functions of up‐ and downregulated genes. miRNA was predicted by miRTarBase, TargetScan, and miRDB databases. circBase and circBank were used for circRNA prediction. ceRNA (circRNA‐mRNA‐miRNA) network was constructed to investigate the potential interactions. Results. 22 genes were upregulated and 9 genes were downregulated. There are only two genes (CCR7 and FAM102A) that connect to miRNAs (hsa‐let‐7a‐5p, hsa‐miR‐1‐3p). We assessed the overall survival rates by Kaplan‐Meier plotter, and relative expression of GBM and subtypes for overlapped mRNA (CCR7 and FAM102A) were evaluated, and further, we obtained circRNAs (has‐circ‐0015164, hsa‐circ‐0003243) by circBank and circBase and bind sites through the CSCD database. Finally, a ceRNA network (circRNA‐mRNA‐miRNA) was constructed based on 2 miRNAs, 2 mRNAs, and 2 circRNAs by Cytoscape. This study focused on potential mRNA and ceRNA biomarkers to targeted treatment of GBM and provided ideas for clinical treatment through the combination of hematology and oncology. Conclusion. The findings of this study contribute to better understand the relationship between GBM and the blood system (platelets) and might lay a solid foundation for improving GBM molecule and gene diagnosis and prognosis.
Identification of Human Cell Cycle Phase Markers Based on Single‐Cell RNA‐Seq Data by Using Machine Learning Methods
Authors: Huang FeiMing , Chen Lei , Guo Wei , Huang Tao , Cai Yu-dong
Published: August 2022

The cell cycle is composed of a series of ordered, highly regulated processes through which a cell grows and duplicates its genome and eventually divides into two daughter cells. According to the complex changes in cell structure and biosynthesis, the cell cycle is divided into four phases: gap 1 (G1), DNA synthesis (S), gap 2 (G2), and mitosis (M). Determining which cell cycle phases a cell is in is critical to the research of cancer development and pharmacy for targeting cell cycle. However, current detection methods have the following problems: (1) they are complicated and time consuming to perform, and (2) they cannot detect the cell cycle on a large scale. Rapid developments in single‐cell technology have made dissecting cells on a large scale possible with unprecedented resolution. In the present research, we construct efficient classifiers and identify essential gene biomarkers based on single‐cell RNA sequencing data through Boruta and three feature ranking algorithms (e.g., mRMR, MCFS, and SHAP by LightGBM) by utilizing four advanced classification algorithms. Meanwhile, we mine a series of classification rules that can distinguish different cell cycle phases. Collectively, we have provided a novel method for determining the cell cycle and identified new potential cell cycle‐related genes, thereby contributing to the understanding of the processes that regulate the cell cycle.
Analysis of the Coordination Relationship between the Green Principle of Civil Law and Environmental Law in Environmental Pollution and Ecological Destruction
Authors: Chai HuiJie
Published: August 2022

Under the dual influence of environmental pollution and ecological damage, the green principles of civil law and environmental law can be better coordinated and developed. In the past, environmental pollution and ecological damage in the author’s country were very serious. Hence, they designed and experimented with data extraction technology and environmental big data sets. A distribution model investigates it. Experiments show the following: (1) The system is developed from big data and can fully reflect the ecological environment of all parts of the country. Finally, it is concluded that the author’s country's environmental pollution and ecological damage are very serious. (2) According to the experimental data of the figures and tables, it is concluded that the cooperation and coordination relationship between the green principles of civil law and environmental law not only has a protective effect on the ecological environment but also increases the economy of society and people. With the continuous updating and coordination of environmental laws and green prototypes, the author’s country’s environmental pollutants are significantly declining. The author believes that in the future, the country's ecological environment will become better, and the green principles of civil law will be more closely related to environmental law. The country’s environmental pollution and people’s lives are becoming more closely related. To better solve environmental problems, we have introduced the green principles of civil law and environmental law. It makes people’s quality of life and the economy better. The main significance of the study is to use the method with the least damage to the environment to obtain the maximum economic benefit to achieve long‐term sustainable development.
Noninvasive Management of Fractured Indwelling Tunneled Pleural Catheter Valve
Authors: Shahid Azib , Singh Harpreet , Espina Toni-Denise , Abdalla Mohammad , Ghori Uzair , Benn Bryan S.
Published: August 2022

Tunneled indwelling pleural catheters (IPCs) are frequently used to palliate symptomatic dyspnea due to recurrent pleural effusions. The drainage valve of IPCs is an important component of the catheter as fracture of the valve leads to malfunctioning of the IPCs. Replacement of the catheter includes risks such as pain, infection, pneumothorax, and procedure cost. We report two cases of malfunctioning tunneled IPC drainage valves repaired by our noninvasive method and discuss the need for a repair kit and a standardized approach to this repair in case of nonavailability of repair kits.
Health Education Knowledge Service Information System Model Based on Virtual Reality
Authors: Chen Sisi
Published: August 2022

In order to solve the problem of more and more vicious events caused by college students“ mental ill-health, a research method of health education knowledge service information system model based on virtual reality is proposed. The platform development approach is based on virtual reality to provide technical support to the process of acquiring, maintaining, pushing, applying, and updating the knowledge of mental health education for college students. The system includes a knowledge base for storing college students’ mental health education knowledge, tools for supporting acquisition, classification, editing, and storage of knowledge, and tools for knowledge sharing, application, and innovation of teachers and experts engaged in college students’ mental health education. The results are as follows: after using this system, the proportion of students with excellent mental health status in a university has increased significantly, reaching 75%, and the proportion of students with poor health status has decreased from 15% to 7%. The mental health knowledge sharing platform designed in this paper has obtained satisfactory evaluation in the trial universities, accounting for 68% of the trial population. The system presented in this article demonstrates that the system can significantly improve the mental health of college students, and the system outlined in this document is important for improving the efficiency and quality of mental health education for college students and for effectively managing educational knowledge.
Improvement of Microstructure and Properties of Q235 Steel by Iron-Based Laser Cladding Coating
Authors: He Yuanwei , Gu Yu , Tang Li , Wang Hu
Published: August 2022

Laser cladding is a repair and surface-strengthening technology for the protection of metal parts. It is an effective method for improving the properties of various metal substrates. The process involves melting and solidifying alloy powder on the surface of the substrate. The aim of the present study was to explore the effect of iron-based alloy laser cladding coating on Q235 substrate. Three types of specimens were obtained from Q235 base material using a 5 kW cross-flow CO2 laser beam. Sample 1 and sample 2 were obtained by the addition of rosin to the iron-based alloy powder. Sample 3 was obtained through the addition of rosin and vanadium to the iron-based alloy powder. A gas curtain was used to wrap the molten pool of samples 2 and 3. The surface hardness of the specimens was determined using a Rockwell hardness tester, and the tensile strength was evaluated using the universal mechanical testing machine. The microstructure of the cladding coating was explored using an Olympus optical microscope and SEM. The results showed that the average hardness of sample 2 and sample 3 was 6.42% and 19.84% higher than that of sample 1. The average tensile strength of samples 2 and 3 was 7.42% and 10.37% higher than that of sample 1. The grain of sample 3 was finer than that of sample 2, and that of sample 2 was finer than that of sample 1 under the same magnification. Rosin minimized oxidation of the substrate, whereas the gas curtain prevented the entry of air into the molten pool, hence the improved properties of samples 2 and 3 compared with that of sample 1. Rosin and the gas curtain protected the powder from oxidation loss and improved the quality of the cladding coating. The results of the present study show that rosin reduced the oxidation of iron-based powder, whereas vanadium improved the hardness and strength of the substrate as well as refined the grain size.
A Consensus Decision‐Making Model considering Empathetic Preferences and Power Structure of the Poverty Alleviation E‐Commerce Supply Chain
Authors: Shi Ruili , Zhao Lianming , Guo Chunxiang , Gu Xin
Published: August 2022

This article focuses on the conflict consultation process and empathetic decision‐making behavior of a poverty alleviation supply chain composed of farmers, retailers, and third‐party e‐commerce platforms (e‐platforms), and proposes an empathetic preference‐based consensus decision‐making model. The impact of empathetic preferences and power structure on the consensus reaching process are analyzed. The results indicate that consumers’ empathy increases the consensus wholesale price and sales price of products, while retailers’ and e‐platforms’ empathy increase the wholesale price and reduce the sales price of products. The empathetic preferences of consumers, retailers, and e‐platforms are helpful for increasing the profits of farmers. The retailer’s empathetic preference is not beneficial to its own profits and the supply chain, while the e‐platform’s empathetic preference can help to improve its own income and increase the overall profit of the supply chain at first, before decreasing. Moreover, the power of retailer is positively correlated with the profits of farmers and the retailer, and negatively correlated with the profits of the e‐platform and supply chain. The sales price and commission price are negatively correlated with the power of retailer, but the wholesale price is not related to the change in power structure.
Application of Markov Chain Techniques for Selecting Efficient Financial Stocks for Investment Portfolio Construction
Authors: Kallah-Dagadu Gabriel , Apatu Victor , Mettle Felix Okoe , Arku Dennis , Debrah Godwin
Published: August 2022

In this paper, we apply Markov chain techniques to select the best financial stocks listed on the Ghana Stock Exchange based on the mean recurrent times and steady-state distribution for investment and portfolio construction. Weekly stock prices from Ghana Stock Exchange spanning January 2017 to December 2020 was used for the study. A three-state Markov chain was used to estimate the transition matrix, long-run probabilities, and mean recurrent times for stock price movements from one state to another. Generally, the results revealed that the long-run distribution of the stock prices showed that the constant state recorded the highest probabilities as compared to the point loss and point gain states. However, the results showed that the mean recurrent time to the point gain state ranges from three weeks to thirty-five weeks approximately. Finally, Standard Chartered Bank, GCB, Ecobank, and Cal Bank emerged as the top best performing stocks with respect to the mean recurrent times and steady-state distribution, and therefore, these equities should be considered when constructing asset portfolios for higher returns.
Reoperation on an Implant-Supported Restoration in the Maxillary Anterior Region to Correct a Complex Aesthetic Deficit
Authors: Figliuzzi M. M. , Parentela L. , Forte A. , Aiello D.
Published: August 2022

Introduction. In an era in which patients are becoming more and more demanding and in which there are many ways to satisfy their needs, modern implantology must consider the correct management of soft tissues during treatment planning, aiming for both functional and aesthetic rehabilitation while creating a prosthetic construction that is in harmony not only with the natural dentition of the patient but also with their face. The patient who came to our notice had a rehabilitative prosthetic implant on the left central incisor area, which did not satisfy any functional or aesthetic parameter. Furthermore, he presented an altered passive eruption in the contralateral hemiarch. Materials and Methods. The prosthetic crown was removed, the tissues were studied, and the team decided to proceed with customizing a provisional restoration that would cause the soft tissues to descend. A surgical periodontal procedure was then performed to solve the altered passive eruption condition that was also compromising the aesthetics. In conclusion, a permanent prosthetic crown was fixed into place. Discussion. Using a periodontal approach that was both surgical and prosthetic, the patient was rehabilitated correctly regaining both functions and aesthetics. It is of fundamental importance that each step in the procedure is carefully programmed; otherwise, the risk of making mistakes increases and solving the problems becomes less simple or less immediate. In order to do this, one must bear in mind that certain clinical cases can apparently concern just one tooth, yet the mouth must be considered as a whole, both functionally and aesthetically. To perform an optimal implantology, the clinician should be an expert in periodontology so that they can plan and, should it be necessary, perform all the therapeutical options (surgical and nonsurgical) that can lead to the best possible result. Conclusions. The resolution of this complex clinical case has been documented in order to share useful advice for the resolution of analogous cases. We strongly advise that each proposed procedure be planned meticulously and that the periodontological aspect of the case never be separated from the prosthetic or the implantological aspects since the integration of the periodontal tissues is of vital importance for both the functional and the aesthetic results.
Construction of Smart Marketing Model of Agricultural Products E-Commerce in the Era of Big Data
Authors: Ma Haiying , Zhang Xiaoyong
Published: August 2022

With the rapid development of China, the marketing mode of agricultural fruit is also keeping pace with the times. The old sales model of agricultural fruit is also affected, which has a huge impact on marketing models, channels, and sales amount. And the sales methods of agricultural fruit have also undergone great changes, from offline transactions to online platform transactions. Comparing the profit, popularity, proportion of agricultural fruits, and turnover of agricultural fruits in e-commerce with the traditional marketing model, the smart marketing model in the data age increases the turnover by 50% and the profit by 15%. And in the network environment that extends in all directions, the probability of people knowing about agricultural fruits will be greater. It can better build the agricultural product marketing system in the information age and make it conform to the characteristics of contemporary marketing. Through the marketing mode in the information age, the judging project was set up, using estimated calculations to draw conclusions. In the era of rapid network information, e-commerce of agricultural fruits can help agriculture to advance rapidly and slowly go to the world.
Extracellular Volume Fraction Based on Cardiac Magnetic Resonance T1 Mapping: An Effective Way to Evaluate Cardiac Injury Caused by Cardiac Amyloidosis in Patients with Multiple Myeloma
Authors: Liu Minghui , Shao Liang , Yang Zhaoxia , Wang Qian , Wu Balu , Liu Xiaoyan , Yu Yalan , Huang Tingting , Wang Meixing , He Yong , Liu Guohong , Zhou Fuling
Published: August 2022

Multiple myeloma (MM) is a hematological malignancy of plasma cell origin. Cardiac amyloidosis (CA) is a common form of heart damage caused by MM and is associated with a poor prognosis. This study was a prospective cohort study and was aimed at evaluating the clinical predictive value of extracellular volume fraction (ECV) based on cardiovascular magnetic resonance (CMR) T1 mapping for cardiac amyloidosis and cardiac dysfunction in MM patients. Fifty-one newly diagnosed MM patients in Zhongnan Hospital of Wuhan University were enrolled in the study. A total of 19 patients (19/51; 37.25%) developed CA. The basal ECV of CA group was significantly higher than that of the non-CA group (

p
<
0.01

). Multivariate logistic regression analysis showed that basal ECV (

OR
=
1.551

, 95% CI 1.084-2.219,

p
<
0.05

) and LDH1 level (

OR
=
1.150

, 95% CI 1.010-1.310,

p
<
0.05

) were two independent risk factors for CA. Further study demonstrated that basal ECV in the heart failure group was significantly higher than that of the nonheart failure group (

p
<
0.01

). Notably, ROC curve showed that basal ECV had a good predictive value for CA and heart failure, with AUC of 0.911 and 0.893 (all

p
<
0.01

), and the best cutoff values of 38.35 and 37.45, respectively. Taken together, basal ECV is a good predictor of CA and heart failure for MM patients.