bluuebunny/crossref_metadata_2025 huggingface dataset:
A Unified Analogy-Based Computation Methodology From Elasticity to Electromagnetic-Chemical-Thermal Fields and a Concept of Multifield Sensing
Authors: Zhang Xin , Wang Q. Jane
Published: March 2022

This paper reports a unified analogy-based computation methodology, together with a concept of multifield, multifunctional sensing, from elasticity to electromagnetic-chemical-thermal fields, via utilizing the similarities of mechanical-electromagnetic-chemical-thermal (MEMCT) field variables, governing equations, and the material properties pertaining to each individual field. Two equivalences are systemized, which are the field-formulation equivalence and surface-value equivalence. Due to similarity, a number of thermal, electromagnetic, or chemical solutions can be obtained from the direct degeneration of existing mechanical solutions by making specified equivalences of 2G↔k0↔ϖ0↔μ0↔β0 with G for shear modulus, k0 for heat conductivity, ϖ0 for dielectric permittivity, μ0 for magnetic permeability, and β0 for chemical diffusivity, as well as by setting Poisson’s ratio ν → 0.5. These specified equivalences enable quick solutions to other fields directly from mechanics formulations, such as those in the forms of the Galerkin vectors and Papkovich-Neuber potentials, and field coupling, by means of analogy. Several examples are given, one is used to demonstrate that the field solutions of a layered half-space with imperfect thermal, electromagnetic, or chemical interfaces can be readily obtained from the elastic solutions involving interfacial imperfections via the obtained formulation equivalence. A set of simple equations are derived to relate surface behaviors of different fields via the obtained surface-value equivalence, on which a concept of multifield sensing is proposed.
Validity of the Training-Load Concept
Authors: Passfield Louis , Murias Juan M. , Sacchetti Massimo , Nicolò Andrea
Published: March 2022

Training load (TL) is a widely used concept in training prescription and monitoring and is also recognized as as an important tool for avoiding athlete injury, illness, and overtraining. With the widespread adoption of wearable devices, TL metrics are used increasingly by researchers and practitioners worldwide. Conceptually, TL was proposed as a means to quantify a dose of training and used to predict its resulting training effect. However, TL has never been validated as a measure of training dose, and there is a risk that fundamental problems related to its calculation are preventing advances in training prescription and monitoring. Specifically, we highlight recent studies from our research groups where we compare the acute performance decrement measured following a session with its TL metrics. These studies suggest that most TL metrics are not consistent with their notional training dose and that the exercise duration confounds their calculation. These studies also show that total work done is not an appropriate way to compare training interventions that differ in duration and intensity. We encourage scientists and practitioners to critically evaluate the validity of current TL metrics and suggest that new TL metrics need to be developed.
Forearc magmatism along southwest Japan is caused by rupturing of the subducting slab
Authors: Mashima* Hidehisa
Published: March 2022

The genesis of the forearc magmatism in southwest Japan at 14 Ma was studied using geologic and seismic observations. Before the magmatism, the Shimanto accretionary complexes were uplifted by 1000–3000 m between 21 and 17 Ma during the opening of the Japan Sea and the Shikoku Basin. Opening of the Japan Sea and the Shikoku Basin terminated at 15 Ma, when the Kinan Seamount Chain on the Shikoku Basin activated. The magmatic products are distributed at segment boundaries and in aseismic areas of the subducting Philippine Sea plate. The segment boundaries are located on syncline and anticline axes of the subducting slab at Kyushu. The magmatic products at Shikoku are distributed at places where olistostromes uplifted between 21 and 17 Ma. Beneath the Kumano volcanic rocks at Kii, a significant discontinuity in the locations of deep earthquakes is observed. These observations indicate that rupturing of the subducting slab by the load of the overriding plate occurred at around 14 Ma. The slab rupturing would have enabled subslab asthenosphere and/or magma to be injected into the plate interface through the tear and cause the forearc magmatism. Since the oceanic plate has a number of preexisting weaknesses, such as fracture zones, slab rupturing could occur more commonly than previously considered. The forearc magmatism caused by slab rupture is an important process associated with the growth of continental crust in subduction zones.
Effect of Hypoxia on the Stability of Microcirculation Parameters in the Temporal Head Regions of Humans
Authors: Mezentseva L. V. , Dudnik E. N. , Nikenina E. V.
Published: March 2022

Abstract—

A new computational and experimental method for assessing the stability of oscillatory processes occurring in the microcirculation (MCR) system is proposed. The technique is based on the analysis of the stability of a differential equations system describing fluctuations in the MCR parameters of blood in symmetrical temporal head regions of humans. Using this technique, we have investigated the change in the stability of MCR parameters of the symmetrical temporal head regions under hypoxic conditions. The study has involved 10 healthy male volunteers (18–19 years). The state of short-term hypoxia has been induced using a normobaric ReOxy Cardio device (S.A. Aimediq, Luxembourg) certified in the Russian Federation for obtaining hypoxic and hyperoxic gas mixtures based on biofeedback with a built-in pulse oximetric sensor (Masimo Rad-5, United States). Synchronous measurements of MCR parameters of symmetrical temporal head regions at the basal state and immediately after short-term hypoxic exposure have been carried out by the method of laser Doppler flowmetry (LDF) using a two-channel LAKK–02 device (LAZMA Research and Development enterprise, Russia). It has been shown that short-term hypoxic effects change the numerical values of the stability parameters in all subjects within the boundaries of stability levels. However, the response to hypoxic exposure has been very individual in different subjects. The proposed method allows for personalized assessments of the fitness level and resistance to hypoxic influences in different subject groups.
Doppler Blood Flow Characteristics and Hemodynamic Features in Posterior Circulation in Normal
Authors: Vishnyakova A. Yu. , Berdalin A. B. , Lelyuk S. E. , Lelyuk V. G.
Published: March 2022

The aim of this study was to determine reference doppler values of blood flow and to investigate features of normal hemodynamics in main arteries of posterior circulation using color-coded duplex sonography (DS). The study involved 65 apparently healthy male volunteers aged 21 to 57 years (36 ± 12 years). A decrease in peak blood flow velocities during the transition from V1-segment of vertebral artery (VA) to V2 and an increase at intracranial level from proximal to distal part (from V4-segments of VA to distal part of basilar artery (BA)) were recorded. There was a tendency towards higher blood flow values in left VA and in posterior cerebral artery (PCA) in comparison with right ones. The features of hemodynamics, most likely, were due to the structural features of posterior circulation arteries—frequent asymmetry of VA in diameters, different branching of BA, as well as differences in peripheral resistance level associated with both the activity and metabolism of blood-supplied structures and the tone of resistive vascular network (less pronounced in the supratentorial structures).
Crossing time in the dissipative Landau–Zener quantum dynamics
Authors: Nalbach P.
Published: March 2022

We study the dynamics of a quantum two-state system driven through an avoided crossing under the influence of a super-Ohmic environment. We determine the Landau–Zener probability employing the numerical exact quasi-adiabatic path integral and a Markovian weak coupling approach. Increasing the driving time in the numerical protocol, we find converged results which shows that super-Ohmic environments only influence the Landau Zener probability within a finite crossing time window. This crossing time is qualitatively determined by the environmental cut-off energy. At weak coupling, we show that the Markovian weak coupling approach provides an accurate description. Since pure dephasing of a super-Ohmic bath is non-Markovian, this highlights that pure dephasing hardly influences the Landau–Zener probability. The finite crossing time window, thus, results from the suppression of relaxation once the energy splitting exceeds the environmental cut-off energy.

Graphical abstract
Minimum Flows in Directed 1−n Planar Static and Dynamic Networks with Arcs and Nodes Capacities
Authors: Ciurea Eleonor , Georgescu Oana , Schiopu Camelia
Published: March 2022

Planar networks are an important special class of networks that arise in several application contexts. Because of the special structure of planar networks, network flow algorithms often run faster on these networks than they do on more general networks. In first part (Secs. 2–5), we present an algorithm for finding maximum cut and an algorithm for finding minimum flow in directed [Formula: see text] planar static networks with arcs and nodes capacities. This part is presented in Ciurea et al. [Proc. 5th Int. Conf. Control Decision and Information Technologies (CoDIT2018), Thessaloniki, Greece (2018), pp. 110–115]. In the second part (Secs. 6–8), we present this problem in directed [Formula: see text] planar dynamic networks with arcs and nodes capacities.
Synthesis of chitosan/MnFe2O4 @ reduced graphene oxide aerogel with radial passageway and its application in removing methylene blue from water
Authors: Zhan Yanhu , Meng Yanyan , Xie Zhaoxin , Wei Zijian
Published: March 2022

Constructing a radial passageway is an effective strategy to promote the diffusion of organic dyes from edge to center of aerogels, benefiting to that organic dyes approach catalysts and subsequently are decomposed. With regard to this concept, in this work, MnFe2O4-decorated reduced graphene oxide (MG), coupling with chitosan (CS), were used to obtain aerogels with a radial passageway. Morphology and catalytic effectiveness of the resultant CS/MG aerogels were characterized in detail. It was found that the as-prepared aerogels presented high activity in degrading organic dyes (for example, methylene blue). In addition, the reaction kinetic was comprehensively studied and followed the pseudo-first-order model. Based on the experimental results, the maximum decomposition degree of methylene blue solution containing the resultant aerogel was up to 83.9% in 240 min. Therefore, the resultant aerogel acts as a potential catalyst for degradation of methylene blue present in water.
HOW CHANGES IN CLIMATE AFFECT CROP YIELDS IN EASTERN INDIA
Authors: MOHAPATRA SOURYABRATA , SHARP BASIL , SAHOO DUKHABANDHU
Published: March 2022

Climate change wreaks havoc on the planet’s ecosystem, affects weather patterns and undermines food security. This paper investigates the effect of changing climate on Indian agriculture, and the climate sensitivity of food grain yield in the eastern region. Using a panel set of physical crop yields and analyzing district-level data from 1990 to 2017, the study estimates agricultural production functions for specific food grains with extrinsic seasonal weather variables. These include average temperature, rainfall, evapotranspiration and wind speed. Spatially disaggregated district-level data provides information from low administrative units, creating a broader picture to be examined. The research indicates that climate change significantly affects east Indian agriculture, and its outcomes are consistent with other state and district-level studies conducted in India. Changing weather patterns over the year considerably influence crop production and disrupt food availability and quality. Hence, the study further expands the implications of results for inter-region inequality and recommends corrective measures.
Piezoelectric, ferroelectric and pyroelectric properties of (100 − x)Pb(Mg1/3Nb2/3)O3 − xPbTiO3 ceramics
Authors: Chen Chuan , Wang Yan , Li Jiajiu , Wu Chaofeng , Yang Guanrong
Published: March 2022

A series of (100[Formula: see text]Pb(Mg[Formula: see text]Nb[Formula: see text]O[Formula: see text]PbTiO3 (PMN[Formula: see text]PT, [Formula: see text]= 24, 25, 26) ceramics were prepared by solid-state reaction technique using MgNb2O6 precursor. The results of the detailed characterizations reveal that the content of PT has negligible influence on the grain size, and all samples possess the perovskite structure. As the PT content increases, the samples changed from the normal ferroelectric phase to the ergodic relaxor state at room temperature. As a result, PMN–[Formula: see text]PT ceramics are endowed with electro-strain of 0.08% at a relatively low electric field of 2 kV/mm, and effective piezoelectric coefficient of 320 pm/V was obtained. Simultaneously, the PMN–[Formula: see text]PT ceramics have exceptional pyroelectric performance, exhibiting a high pyroelectric coefficient [Formula: see text][Formula: see text]5.5 – 6.3 × 10[Formula: see text] C⋅cm[Formula: see text]⋅K[Formula: see text]. This study demonstrates the great potential of PMN–[Formula: see text]PT for piezoelectric and pyroelectric device applications.
ThunderGP: Resource-Efficient Graph Processing Framework on FPGAs with HLS
Authors: Chen Xinyu , Cheng Feng , Tan Hongshi , Chen Yao , He Bingsheng , Wong Weng-Fai , Chen Deming
Published: March 2022

FPGA has been an emerging computing infrastructure in datacenters benefiting from fine-grained parallelism, energy efficiency, and reconfigurability. Meanwhile, graph processing has attracted tremendous interest in data analytics, and its performance is in increasing demand with the rapid growth of data. Many works have been proposed to tackle the challenges of designing efficient FPGA-based accelerators for graph processing. However, the largely overlooked programmability still requires hardware design expertise and sizable development efforts from developers.
ThunderGP
, a high-level synthesis based graph processing framework on FPGAs, is hence proposed to close the gap, with which developers could enjoy high performance of FPGA-accelerated graph processing by writing only a few high-level functions with no knowledge of the hardware. ThunderGP adopts the gather-apply-scatter model as the abstraction of various graph algorithms and realizes the model by a built-in highly parallel and memory-efficient accelerator template. With high-level functions as inputs, ThunderGP automatically explores massive resources of multiple super-logic regions of modern FPGA platforms to generate and deploy accelerators, as well as schedule tasks for them. Although ThunderGP on DRAM-based platforms is memory bandwidth bounded, recent high bandwidth memory (HBM) brings large potentials to performance. However, the system bottleneck shifts from memory bandwidth to resource consumption on HBM-enabled platforms. Therefore, we further propose to improve resource efficiency of ThunderGP to utilize more memory bandwidth from HBM. We conduct evaluation with seven common graph applications and 19 graphs. ThunderGP on DRAM-based hardware platforms provides 1.9× ∼ 5.2× improvement on bandwidth efficiency over the state of the art, whereas ThunderGP on HBM-based hardware platforms delivers up to 5.2× speedup over the state-of-the-art RTL-based approach. This work is open sourced on GitHub at https://github.com/Xtra-Computing/ThunderGP
.
Identification of Type 2 Diabetes Based on a Ten‐Gene Biomarker Prediction Model Constructed Using a Support Vector Machine Algorithm
Authors: Li Jiabin , Ding Jieying , Zhi D. U. , Gu Kaiyun , Wang Hui
Published: March 2022

Background. Type 2 diabetes is a major health concern worldwide. The present study is aimed at discovering effective biomarkers for an efficient diagnosis of type 2 diabetes. Methods. Differentially expressed genes (DEGs) between type 2 diabetes patients and normal controls were identified by analyses of integrated microarray data obtained from the Gene Expression Omnibus database using the Limma package. Functional analysis of genes was performed using the R software package clusterProfiler. Analyses of protein‐protein interaction (PPI) performed using Cytoscape with the CytoHubba plugin were used to determine the most sensitive diagnostic gene biomarkers for type 2 diabetes in our study. The support vector machine (SVM) classification model was used to validate the gene biomarkers used for the diagnosis of type 2 diabetes. Results. GSE164416 dataset analysis revealed 499 genes that were differentially expressed between type 2 diabetes patients and normal controls, and these DEGs were found to be enriched in the regulation of the immune effector pathway, type 1 diabetes mellitus, and fatty acid degradation. PPI analysis data showed that five MCODE clusters could be considered as clinically significant modules and that 10 genes (IL1B, ITGB2, ITGAX, COL1A1, CSF1, CXCL12, SPP1, FN1, C3, and MMP2) were identified as “real” hub genes in the PPI network using algorithms such as Degree, MNC, and Closeness. The sensitivity and specificity of the SVM model for identifying patients with type 2 diabetes were 100%, with an area under the curve of 1 in the training as well as the validation dataset. Conclusion. Our results indicate that the SVM‐based model developed by us can facilitate accurate diagnosis of type 2 diabetes.
A Lightweight Data Integrity Verification with Data Dynamics for Mobile Edge Computing
Authors: Wang Haiyan , Lin Yi , Xiao Fu
Published: March 2022

As a special scenario of mobile cloud computing, mobile edge computing can meet the requirements of low latency of data integrity verification and support of mobility in mobile scenarios. However, most existing data integrity verification methods have relatively large computational overhead and few considerations of data dynamic update. To address the above problems, we propose a lightweight data integrity verification method that can support data dynamics in mobile edge computing scenarios. The proposed method is based on an algebraic signature and data integrity verification framework, which ensures security and reduces the computational overhead to achieve the requirement of lightweight. On this basis, analysis and proof of the feasibility, security, and privacy are given. At the same time, in order to support the dynamic update of the data, an optimized strategy based on matrix index is designed with low overhead. In comparison with other baseline methods, simulation experiments show that our method is superior in terms of computational overhead and has good performance in supporting data dynamics.
Classification of Benign and Malignant Features of Glioma and Prediction of Early Metastasis and Recurrence Based on Enhanced MRI Imaging
Authors: Chen Daiwen , Chen Ziqian , Xu Shanwen , Li Hui
Published: March 2022

This work was aimed to establish a feature model for glioma grading and early metastasis and recurrence risk prediction based on contrast-enhanced magnetic resonance imaging (MRI). A total of 145 patients diagnosed with glioma by pathological examination were selected as the research subjects (training cohort: nasty 80; validation cohort: nasty 65). The imaging parameters T1-weighted (CET1WI), axial T2-weighted (T2WI), and apparent diffusion coefficient (ADC) were selected for the extraction of size and shape, intensity, histogram, and texture features. Image dimensionality reduction, feature selection, and model building were performed using the LASSO regression method. Using imaging features as potential predictors and evaluation indicators, the accuracy, sensitivity, and specificity of all prediction models and the area under the curve (AUC) of the receiver operating characteristic curve were calculated. Moreover, a predictive model for glioma grading and early metastasis risk was constructed. The results showed that under a single imaging parameter (T1-CE, DDC, T2WI-FLAIR, ADCslow, Alpha, ADC, CBF, and ADCfast), the diagnostic accuracy, sensitivity, specificity, AUC, and 95% confidence interval (CI) of low-grade gliomas (LGG), high-grade gliomas (HGG), and recurrent and nonrecurrent gliomas were significantly different (P < 0.05). The texture features, histogram features, and mean AUC of distinguishing low-grade and high-grade gliomas were 0.958, 0.945, and 0.954, respectively. The texture features, histogram features, and mean AUC for distinguishing recurrent and nonrecurrent gliomas were 0.949, 0.876, and 0.900, respectively. In short, the use of enhanced MRI imaging features can realize the prediction of early grading and recurrence of glioma and is of great significance for the early classification of benign and malignant characteristics of tumors.
Research on Activation Design of Street Leftover Spaces on the Main Island of Macao Based on Industry 4.0 and Propagation Models
Authors: Shi Ruiting , Wang Xiaoxiao , Huang Chen , Liang Siyang
Published: March 2022

Space has become a driver not only for knowledge, inspiration, cooperation, and policymaking, but also for high-end technology integration into the manufacturing domain. As the high-density city quarters, the Macau Peninsula carries multiple functions via its public outdoor spaces, and they are of vital significance. Closely intertwined with Industry 4.0 is therefore the next industrial revolution that is already showcasing the benefits of increased connectivity, intelligence, and flexible automation. The rapid urbanization of Macao was not guided by sound land use planning, induced the scattering of many negative spaces on narrow streets. Because of their irregular shapes and utilization difficulties, these spaces gradually become leftover spaces. A number of measurement-based street leftover spaces models have been developed over the years by researchers as well as standards bodies to model path in typical wireless environments. In this paper, the streets of Macao are analyzed based on the city characteristics. The pedestrians and spatial relationships are investigated via space syntax and SPSS regression fitting. Finally, activation design of street leftover spaces is conducted, for making better use of leftover spaces, compensate for the functional deficiencies of streets, and endow them with more vigor and vitality.
Spatiotemporal Variations of Water Pollution‐Intensive Enterprises and Influencing Factors in China’s “Two Control Zone” Policy Using Spatial Statistics and Spatial Autoregressive Models
Authors: Dai Fuqiang , Zhang Xia , Li Qing , Liu Hao
Published: March 2022

The management of water environments is an important public policy issue. With accelerated industrialization, China’s water quality has deteriorated to one of the lowest levels in the world. Against this background, analyzing the spatial agglomeration characteristics and driving mechanisms of water pollution‐intensive enterprises (WPIEs) can help local governments formulate regulations to better manage pollution by enterprises. This study used nearest‐neighbor index analysis, global spatial autocorrelation analysis, hot spot analysis, and spatial regression to investigate spatial distribution changes in WPIEs. Further, a spatial autoregressive (SAR) model was used to examine the effects of enterprise agglomeration and environmental regulation on changes in the quantity of WPIEs in the Yangtze River Economic Belt (YREB) from 1998 to 2012. The results showed that the overall quantity of WPIEs in the YREB grew significantly, though growth in the downstream regions gradually slowed from 2005 to 2012. The distribution of WPIEs showed obvious spatial agglomeration characteristics, gradually expanding from a single‐core pattern to a multicore one. Enterprise agglomeration and environmental regulation had scale effects on the spatial distribution of WPIEs, yet the effect of environmental regulation was not significant. However, other factors influencing the spatial distribution of WPIEs are complex, and the influence of the boundary effect was found to be more significant.
Ballbeam System Analysis and Design Based on Root Locus Correction and State Space Correction
Authors: Guo Chengjun , Xie Wei , Pei Ning
Published: March 2022

The ballbeam control system is one of the most perfect and classic experimental equipment for the research and analysis of automatic control theory. Other nonlinear and unstable systems have important dynamic performance, but because the ball bar system is nonlinear and unstable, it is necessary to design a controller to correct it. In this paper, the root locus and the state space theory are used for correction. In the root locus correction, the curve of the root locus is changed by adding open-loop zeros and poles to make the system stable; in the state space, a state feedback observer is designed by using the principle of pole assignment, and the state feedback matrix

K

is obtained to make the system stable. Using the visual tool Simulink in MATLAB to simulate, we can see the specific control effect of the controller intuitively. The real-time control was carried out on gbb2004, and the results were observed.
Wheat (Triticum aestivum L.) Yield and Yield Components as Influenced by Herbicide Application in Kaffa Zone, Southwestern Ethiopia
Authors: Mekonnen Getachew
Published: March 2022

In order to identify the effect of herbicidal weed control practices on yield components and yield of wheat, the study was conducted at Kocha kebele in Chena district of Kaffa zone, Southwestern Ethiopia. 2,4-D amine salt (0.5 kg ha−1, 1 kg ha−1, and 1.5 kg ha−1) supplemented with one hand weeding 30 days after chemical application, clodinafop-propargyl 6% + fluroxypyr 12% (0.5 kg ha−1, 0.75 kg ha−1, and 1 kg ha−1) supplemented with one hand weeding 30 days after chemical application, pyroxsulam (0.4 kg ha−1, 0.5 kg ha−1, and 0.6 kg ha−1) supplemented with one hand weeding 30 days after chemical application, 2,4-D amine salt at 1 kg ha−1, clodinafop-propargyl 6% + fluroxypyr 12% at 0.75 kg ha−1, pyroxsulam at 0.5 kg ha−1, two hand weeding 30 and 45 days after crop emergence, weed-free check, and weedy check (unweeded) were the weed control treatments. Fifteen treatments were used for the trial and arranged in a randomized complete block design with three replications. The treatments had a significant effect on weed community, dry matter of weeds, parameters on weed control, phenology and growth parameters, and yield components and yield of wheat. The minimum total weed dry biomass was recorded in plots treated with clodinafop-propargyl 6% + fluroxypyr 12% at 1 kg ha−1 + one hand weeding at crop harvest. The highest weed control efficiency (93.30%) and herbicide efficiency index (27.06%) and the lowest weed index (14.18%) were recorded with the application of clodinafop-propargyl 6% + fluroxypyr 12% at 1 kg ha−1 + one hand weeding. Higher number of grains per spike (57.9), 1000-grain weight (39.4 g ha−1), grain yield (3635.6 kg ha−1), biological yield (9004 kgha−1), and harvest index (40.23%) were recorded with the application of clodinafop-propargyl 6% + fluroxypyr 12% at 1 kg ha−1 + one hand weeding 30 days after chemical application, next to weed-free check. Managing weeds with the application of clodinafop-propargyl 6% + fluroxypyr 12% at 1 kg ha−1 + one hand weeding contributed maximum (50,745.2 ETB) net benefit. The application of clodinafop-propargyl 6% + fluroxypyr 12% at1.0 kg ha−1 plus one hand weeding can be recommended to acquire high grain yield of wheat and high economic return in the study site.
The Teaching Evaluation Index System and Intelligent Evaluation Methods of Vocational Undergraduate Pilot Colleges
Authors: Wu Henan
Published: March 2022

In recent years, with the popularization of higher education, quality problems have become increasingly prominent, and government documents often propose that the main task of education reform and development is to improve the quality of higher education. As a result, teaching evaluations have appeared one after another. Although various evaluation activities are carried out dynamically, expert evaluation has proven to be one of the most effective methods to ensure professional quality. This will help improve the quality of human resource development, promote regional economic development, improve the quality assurance system of higher education, and promote the formation of professional skills development mechanisms. This article studies the teaching evaluation index system and intelligent evaluation methods of vocational undergraduate pilot colleges, understands the relevant knowledge of the teaching evaluation index system on the basis of literature data, and then, constructs the teaching evaluation system of vocational undergraduate pilot colleges. The constructed system is tested, and the test results show that the error of the results of teacher self-evaluation and student evaluation is controlled within the two, which also verifies that the construction of the teaching ability evaluation index system this time is reasonable and scientific.
Tunneling Nanotube-Mediated Mitochondrial Transfer Rescues Nucleus Pulposus Cells from Mitochondrial Dysfunction and Apoptosis
Authors: Yang Fan , Zhang Yanbin , Liu Sheng , Xiao Jiheng , He Yuxin , Shao Zengwu , Zhang Yuhui , Cai Xianyi , Xiong Liming
Published: March 2022

Stem cell-based therapy has been indicated to be beneficial for intervertebral disc regeneration. However, the underlying mechanisms have not been fully identified. The present study showed that bone marrow mesenchymal stem cells (BMSCs) donated mitochondria to adjacent nucleus pulposus cells (NPCs) in a coculture system. The mode of mitochondrial transfer between these cells was intercellular tunneling nanotube (TNT), which acted as a transportation expressway for mitochondria. NPCs acquired additional mitochondria from BMSCs in a concentration-dependent manner after rotenone-induced mitochondrial dysfunction in NPCs. Further research demonstrated that TNT-mediated mitochondrial transfer rescued NPCs from mitochondrial dysfunction and apoptosis, which was indicated by the recovery of the mitochondrial respiratory chain, the increase in mitochondrial membrane potential, and the decreases in reactive oxygen species (ROS) levels and apoptosis rates. Furthermore, Miro1, a critical protein that regulates mitochondrial movement, was knocked down in BMSCs and significantly reduced mitochondrial transfer from BMSCs to NPCs. These results suggested that Miro1 depletion inhibited the rescue of NPCs with mitochondrial dysfunction. Taken together, our data shed light on a novel mechanism by which BMSCs rescue impaired NPCs, providing a concrete foundation to study the critical role of intercellular interactions in disc regeneration.
An Embedded Linear Model Three-Dimensional Fuzzy PID Control System for a Bionic AUV under Wave Disturbance
Authors: Lyu Da , Su Haoqin , Li Yun , Zhang Zijun , Long Hao , Zhao Junbo
Published: March 2022

This study provides a new embedded linear model (ELM) three-dimensional fuzzy PID control method for a bionic autonomous underwater vehicle (AUV), which is disturbed by ocean waves. The uncertainty of the ocean waves will make it difficult for the AUV to achieve good sailing quality, especially near the sea surface. In view of this problem, an ELM fuzzy PID controller, which adopts three-dimensional fuzzy control rules, is designed. In the ELM fuzzy PID controller, a linear model of AUV is established in order to actively perceive the effect of waves on AUV. Hence, the wave disturbance can be reflected in the control signal earlier and faster. Finally, three simulations are carried out to verify the control effect of the ELM fuzzy PID controller. An ocean wave disturbance model is established in order to simulate the force and the moment acting on the AUV. The results imply that compared with the classical PID controller and normal fuzzy PID controller, the ELM fuzzy PID controller can significantly enhance the stability of AUV and make the response faster and overshoot smaller.
Analysis of Gut Microbiota in Patients with Exacerbated Symptoms of Schizophrenia following Therapy with Amisulpride: A Pilot Study
Authors: Zheng Jinchi , Lin Zeya , Ko Chih-Yuan , Xu Jian-Hua , Lin Yichuan , Wang Jinyi
Published: March 2022

Evidence is mounting that the gut microbiome is related to the underlying pathogenesis of schizophrenia. However, effects of amisulpride on gut microbiota are poorly defined. This study was aimed at analyzing cytokines and fecal microbiota in patients with exacerbated symptoms of schizophrenia treated with amisulpride during four weeks of their hospital stay. In the present study, feces collected from patients with schizophrenia were analyzed using 16S rRNA pyrosequencing and bioinformatic analyses to ascertain gut microbiome composition and fasting peripheral blood cytokines. We found that patients undergoing treatment of schizophrenia with amisulpride had distinct changes in gut microbial composition at the genus level, increased levels of short-chain fatty acid-producing bacteria (Dorea and Butyricicoccus), and reduced levels of pathogenic bacteria (Actinomyces and Porphyromonas), but the level of Desulfovibrio was still high. We also found a significant downregulation of butanoate metabolism based on functional analysis of the microbiome. After treatment, elevated levels of interleukin- (IL-) 4 and decreased levels of IL-6 were found. Our findings extend prior work and suggest a possible pharmacological mechanism of amisulpride treatment for schizophrenia, which acts via mediation of the gut microbiome.
A Privacy Preserving Authentication Protocol Using Quantum Computing for V2I Authentication in Vehicular Ad Hoc Networks
Authors: Prateek Kumar , Altaf Fahiem , Amin Ruhul , Maity Soumyadev
Published: March 2022

Many cryptographic techniques have been proposed to conceive a secure and privacy-oriented vehicular ad hoc network (VANET) for its practical deployment. The security of these techniques requires a common secret key to be shared between the communicating entities or depend upon the premise that some mathematical problems are computationally hard. However, because of the open nature of the wireless medium, the communication cannot be kept confidential and is prone to eavesdropping. Furthermore, with the arrival of quantum computers, these techniques are prone to quantum attacks—the time complexity of the assumed hard problem gets reduced from millions of years to a few seconds. In this paper, we propose a conditional privacy-preserving authentication scheme based on a quantum key distribution protocol for vehicle-to-infrastructure (V2I) communication. Our scheme inherits the properties of the quantum key distribution protocol. It does not require a secret authentication key to be transmitted conventionally and is resistant to quantum attacks. Apart from protecting VANETs against generic security threats, including node impersonation, message tampering, and repudiation, our scheme defends VANETs against man-in-the-middle attacks, replay attacks, etc. Besides, our protocol ensures message unlinkability, vehicle-identity privacy, and vehicle traceability if a vehicle misbehaves. The results obtained from the performance evaluation of our scheme confirm reasonable values of information leakage, key length, bit error probability, etc.
The Optimal Path of Cultivating and Promoting the Employment Ability of College Students Based on the Whole Process Management Mode of Construction Engineering Based on Computer Aided Technology
Authors: Chen Siyu
Published: March 2022

The whole process management of construction project is to carry out all-round supervision and management of the whole stage of construction project implementation, which can realize the effective allocation of construction project (CP) funds and improve the construction quality at the same time. On this basis, this article analyzes the impact of the whole-process management (WPM) model on the employment ability (EA) of college students (CS), uses computer-aided technology to calculate the information of graduates in a construction company, and analyzes according to the work situation of the graduates in the enterprise and the evaluation of the EA of the graduates by the enterprise cultivation path of university students’ EA. The experimental results of this paper show that the evaluation of the four structural elements of EA of CS by construction companies is higher than that of college students’ self-evaluation, indicating that there is a difference between the EA of students and the needs of enterprise EA, which can be used as an entry point to train students EA.
Visualization of Railway Transportation Engineering Management Using BIM Technology under the Application of Internet of Things Edge Computing
Authors: Wu Sihan , Zhang Xue
Published: March 2022

In the past, railway line planning usually required engineers to design based on their own experience after a series of field visits, leading to heavy workload and low efficiency. Moreover, operation and maintenance management is more complicated due to an abundance of railway station equipment. Based on the above problems, this paper first puts forward the railway transportation line planning and design method based on Building Information Modeling (BIM) technology. Besides, LocaSpace Viewer realizes the three-dimensional (3D) visual scene modeling of the railway environment to improve the efficiency of railway line planning and design. Secondly, the railway station’s visual operation and maintenance management system is constructed via BIM Technology. Besides, the Internet of Things (IoT) is combined with edge computing and deep learning technology to build a 3D model of station equipment, collect data in real time, and analyze data efficiently. Finally, the design effect of the model, the performance of the visual management system, and the test results of network transmission delay are displayed and analyzed. The results show that BIM can construct the 3D visualization model with high fidelity for the railway environment. This model can get a reasonable line planning scheme and analyze its feasibility, provide a reliable basis for engineers to plan railway transportation lines, and improve design efficiency. In addition, the GPU occupation rate, CPU occupation rate, and memory occupation rate of the operation and maintenance management system in different operating environments are within the standard range; when multiple clients access the system, the system data access delay is 100% less than 8 ms, which has good performance. Furthermore, the performance of the IoT transmission data real-time scheduling model and the edge computing optimization algorithm applied to this system is better than other popular methods, which can significantly improve the operation efficiency of the system. This study aims to enhance the efficiency of railway transportation line planning and station operation and maintenance management with the help of digital technologies.
HMGB1 Promotes Lymphangiogenesis through the Activation of RAGE on M2 Macrophages in Laryngeal Squamous Cell Carcinoma
Authors: Su Caili , Jia Shuangshuang , Ma Zhihong , Zhang Hong , Wei Li , Liu Honggang
Published: March 2022

Background. Receptor for advanced glycation end products (RAGE) is implicated in tumor biology. Released high mobility group box protein 1 (HMGB1) ligand binding to RAGE receptor in tumor cells promotes tumor progression. The mechanisms of HMGB1-RAGE signaling in M2 macrophages involved in lymphangiogenesis in laryngeal carcinoma remain poorly understood. Here, we assessed the effect of HMGB1-RAGE signaling on M2 macrophages in lymphangiogenesis. Methods. HMGB1, CD163, and D2-40 in laryngeal squamous cell carcinoma (LSCC,

n
=
123

), laryngeal precursor lesions (LPLs,

n
=
102

), and vocal polyp (VP,

n
=
55

) were analyzed by immunohistochemistry. THP-1 cell-expressed RAGE gene was knocked down and then polarized to M0 macrophages and M2 macrophages. IL-23, TNF-α, TGF-β, and IL-10 were measured by ELISA; IL-1β, IL-12, IL-10, and CCL-13 were evaluated by RT-qPCR, and CD206, CD163, and RAGE were evaluated by western blot to evaluate whether classical M2 macrophages were obtained. Conditioned media from RAGE+/- M0 macrophages and RAGE+/- M2 macrophages incubated in the presence or absence of HMGB1, anti-Toll-like receptor (TLR)2, anti-TLR4 antibodies, and anti-VEGF-C antibodies were collected separately for human dermal lymphatic endothelial cells (HDLEC) for proliferation, migration, lymphangiogenesis assay, and VEGF-C concentration analysis. Results. HMGB1 and M2 macrophage densities were increased in LSCC (

P
<
0.01

). HMGB1 and M2 macrophage densities were significantly correlated with lymphatic vessel density (LVD) in LSCC (

P
<
0.01

). The HMGB1 overexpression and higher M2 macrophage density were involved in lymph node metastasis (

P
<
0.01

) and poor prognosis (

P
<
0.05

). In vitro, conditioned medium from HMGB1-stimulated RAGE+ M2 macrophages activated lymphangiogenesis by upregulating the VEGF compared to controls (

P
<
0.05

). On the contrary, RAGE knockdown obviously decreased the corresponding effects of HMGB1-preconditioned M2 macrophages upon HDLEC (

P
<
0.05

). HMGB1-TLR pathway does not significantly increase HDLEC proliferation, migration, and lymphangiogenesis on M2 macrophages. Conclusions. HMGB1 promotes lymphangiogenesis by activation of RAGE on M2 macrophages. Targeting RAGE may provide an effective therapeutic strategy against M2 macrophages in LSCC patients with lymph node metastasis.
Prevalence and Antimicrobial Resistance of Bacteria Isolated from Marine and Freshwater Fish in Tanzania
Authors: Marijani Esther
Published: March 2022

This study aimed to determine the prevalence and antimicrobial resistance of bacteria isolated from retail fish and shrimp in Tanzania. A total of 92 fish and 20 shrimp samples were analyzed. Fish samples consisted of 24 Nile tilapia, 24 Nile perch, and 24 red snapper. The isolates were identified by their morphological characteristics, conventional biochemical tests, and analytical profile index test kits. The antibiotic susceptibility of selected bacteria was determined by the disc diffusion method. Out of the 92 samples analyzed, 96.7% were contaminated with 7 different bacterial species. E. coli was the most prevalent bacteria (39%), followed by Klebsiella spp. (28%) and Salmonella spp. (16%). Other species isolated from this study were Staphylococcus spp. (8%), Citrobacter (4%), Shigella spp. (3%), and Pseudomonas spp. (1%). All samples were analyzed for Campylobacter spp.; however, none of the samples tested were positive for Campylobacter spp. Fish from the open-air market were contaminated by six bacterial species: E. coli (40%), Klebsiella spp. (26%), Salmonella spp. (24%), Shigella spp. (6.7%), Citrobacter spp. (6.5%), and Pseudomonas spp. (2%), while E. coli (37%), Klebsiella spp. (33%), Staphylococcus spp. (23%), and Shigella spp. (2%) were isolated in supermarket samples. According to the International Commission on Microbiological Specifications for Foods criteria, 54 (58.7%) and 38 (41.3%) samples were good and marginally acceptable, respectively. E. coli isolates were resistant to penicillin (PEN), erythromycin (ERY), gentamicin (GEN), azithromycin (AZM), and tetracycline (TET), while Salmonella spp. isolates exhibited resistance to gentamicin (CN), tetracycline (TET), penicillin (PEN), and erythromycin (ERY). These results suggest that the presence of these bacteria might cause a health risk/hazard to human beings and may cause disease to susceptible individuals, especially immune-compromised consumers.
Possible Beneficial Effects of Fresh Pomegranate Juice in SARS-CoV-2 Infection Conditions
Authors: Banihani Saleem Ali
Published: March 2022

Rather than the prophylactic vaccination, any effective synthetic, natural, or nutritional therapy or regimen that may cure or remedy, albeit partially, the complications of SARS-CoV-2 should be highly acknowledged. Here, we reviewed and discussed possible beneficial biological effects of pomegranate juice in such diseased condition of viral infection based on the current published evidence (direct and indirect) and owing to the robust evidence that fresh pomegranate juice is highly rich with unique bioactive compounds that are approved in various occasions to be effective in several chronic diseased conditions. All related references that serve our aim are accessed through available electronic databases, particularly PubMed and Scopus. In summary, there is accepted evidence that pomegranate juice may be beneficial in SARS-CoV-2 infection conditions, especially for patients with the clinical history of chronic diseases such as hypertension, cardiovascular disease, diabetes, and cancer. However, the interventional studies that directly probe and confirm the effectiveness of fresh pomegranate juice in the management of SARS-CoV-2 infection are mandatory.
Improving Model-Based Deep Reinforcement Learning with Learning Degree Networks and Its Application in Robot Control
Authors: Ma Guoqing , Wang Zhifu , Yuan Xianfeng , Zhou Fengyu
Published: March 2022

Deep reinforcement learning is the technology of artificial neural networks in the field of decision-making and control. The traditional model-free reinforcement learning algorithm requires a large amount of environment interactive data to iterate the algorithm. This model’s performance also suffers due to low utilization of training data, while the model-based reinforcement learning (MBRL) algorithm improves the efficiency of the data, MBRL locks into low prediction accuracy. Although MBRL can utilize the additional data generated by the dynamic model, a system dynamics model with low prediction accuracy will provide low-quality data and affect the algorithm’s final result. In this paper, based on the A3C (Asynchronous Advantage Actor-Critic) algorithm, an improved model-based deep reinforcement learning algorithm using a learning degree network (MBRL-LDN) is presented. By comparing the differences between the predicted states outputted by the proposed multidynamic model and the original predicted states, the learning degree of the system dynamics model is calculated. The learning degree represents the quality of the data generated by the dynamic model and is used to decide whether to continue to interact with the dynamic model during a particular episode. Thus, low-quality data will be discarded. The superiority of the proposed method is verified by conducting extensive contrast experiments.