bluuebunny/crossref_metadata_2025_split huggingface dataset:
Safety, immunogenicity, and protection provided by unadjuvanted and adjuvanted formulations of a recombinant plant-derived virus-like particle vaccine candidate for COVID-19 in nonhuman primates
Authors: Pillet Stéphane , Arunachalam Prabhu S. , Andreani Guadalupe , Golden Nadia , Fontenot Jane , Aye Pyone Pyone , Röltgen Katharina , Lehmicke Gabrielle , Gobeil Philipe , Dubé Charlotte , Trépanier Sonia , Charland Nathalie , D’Aoust Marc-André , Russell-Lodrigue Kasi , Monjure Christopher , Blair Robert V. , Boyd Scott D. , Bohm Rudolf P. , Rappaport Jay , Villinger François , Landry Nathalie , Pulendran Bali , Ward Brian J. 
Published: January 2022

AbstractAlthough antivirals are important tools to control severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, effective vaccines are essential to control the current coronavirus disease 2019 (COVID-19) pandemic. Plant-derived virus-like particle (VLP) vaccine candidates have previously demonstrated immunogenicity and efficacy against influenza. Here, we report the immunogenicity and protection induced in rhesus macaques by intramuscular injections of a VLP bearing a SARS-CoV-2 spike protein (CoVLP) vaccine candidate formulated with or without Adjuvant System 03 (AS03) or cytidine-phospho-guanosine (CpG) 1018. Although a single dose of the unadjuvanted CoVLP vaccine candidate stimulated humoral and cell-mediated immune responses, booster immunization (at 28 days after priming) and adjuvant administration significantly improved both responses, with higher immunogenicity and protection provided by the AS03-adjuvanted CoVLP. Fifteen micrograms of CoVLP adjuvanted with AS03 induced a polyfunctional interleukin-2 (IL-2)-driven response and IL-4 expression in CD4 T cells. Animals were challenged by multiple routes (i.e., intratracheal, intranasal, and ocular) with a total viral dose of 106 plaque-forming units of SARS-CoV-2. Lower viral replication in nasal swabs and bronchoalveolar lavage fluid (BALF) as well as fewer SARS-CoV-2-infected cells and immune cell infiltrates in the lungs concomitant with reduced levels of proinflammatory cytokines and chemotactic factors in the BALF were observed in animals immunized with the CoVLP adjuvanted with AS03. No clinical, pathologic, or virologic evidence of vaccine-associated enhanced disease was observed in vaccinated animals. The CoVLP adjuvanted with AS03 was therefore selected for vaccine development and clinical trials.
PPARα−ACOT12 axis is responsible for maintaining cartilage homeostasis through modulating de novo lipogenesis
Authors: Park Sujeong , Baek In-Jeoung , Ryu Ji Hyun , Chun Churl-Hong , Jin Eun-Jung 
Published: January 2022

AbstractHere, in Ppara−/− mice, we found that an increased DNL stimulated the cartilage degradation and identified ACOT12 as a key regulatory factor. Suppressed level of ACOT12 was observed in cartilages of OA patient and OA-induced animal. To determine the role and association of ACOT12 in the OA pathogenesis, we generated Acot12 knockout (KO) (Acot12−/−) mice using RNA-guided endonuclease. Acot12−/− mice displayed the severe cartilage degradation with the stimulation of matrix MMPs and chondrocyte apoptosis through the accumulation of acetyl CoA. Delivery of acetyl CoA-conjugated chitosan complex into cartilage stimulated DNL and cartilage degradation. Moreover, restoration of ACOT12 into human OA chondrocytes and OA-induced mouse cartilage effectively rescued the pathophysiological features of OA by regulating DNL. Taken together, our study suggested ACOT12 as a novel regulatory factor in maintaining cartilage homeostasis and targeting ACOT12 could contribute to developing a new therapeutic strategy for OA.
High valence state metal-ion doped Fe–Ni layered double hydroxides for oxygen evolution electrocatalysts and asymmetric supercapacitors
Authors: Shao Wenke , Wang Qiufan , Huang Can , Zhang Daohong 
Published: January 2022

This work reports an electronic structure tuning strategy to synthesize Fe-Ni3Co2 LDH derived from metal-organic framework (MOF). The structure performs well in both supercapacitor and oxygen evolution reaction.
Structure‐aware multiple salient region detection and localization for autonomous robotic manipulation
Authors: Bhuyan Sudipta , Sen Debashis , Deb Sankha 
Published: January 2022

AbstractThis paper proposes a multiple salient region detection and localization approach for unstructured industrial robot work environments with arbitrarily located and orientated objects. Different from the existing, the authors' novel technique to detect multiple salient regions performs locally adaptive center‐surround operations on proto‐object partitions obtained through color consistency and spatial proximity analysis. The multi‐scale center‐surround operations are done by masks that are local structure‐aware yielding regions with precise and accurate boundaries as required for robotic manipulation. First, experiments to evaluate the multiple salient region detection performance are carried out using four standard databases having images with multiple salient objects. Quantitative result analysis using F‐measure, shuffled F‐measure, shuffled AUC and MAE, and subjective result inspection suggests that the proposed approach is in general better at collectively detecting multiple salient regions than the state‐of‐the‐art, including those based on deep learning. Then, real‐life experiments involving robotic manipulation are carried out to demonstrate the utility of the multiple salient region detection method. For robotic manipulation, object localization is improved after salient region detection by employing a fast shadow detection algorithm proposed based on hue analysis, and recognition through existing matching techniques is applied only at the localized salient regions. The benefit of the novel multiple salient region detection approach in the robotic manipulation system is shown using localization and pose estimation accuracy, rates of detection and recognition, positional and angular errors, and processing speed.
Handling stability control strategy for four‐wheel hub motor‐driven vehicle based on adaptive control for road adhesion
Authors: Zhai Li , Wang Chengping , Zhang Xueying , Hou Rufei , Mok Yuh Ming , Hou Yuhan 
Published: January 2022

AbstractHandling stability control can improve the safety of four in‐wheel motor independent‐drive electric vehicle (4MIDEV). An adaptive motion state control strategy based on improved sliding mode control for 4MIDEV is proposed to improve the steering stability control of the vehicle under different adhesion conditions. This adaptive control strategy uses a multi‐layer structure, which mainly includes a motion reference layer, an upper‐layer motion controller, and a lower‐layer torque distribution controller. Aiming at the non‐linear dynamic characteristics of 4MIDEV under different adhesion conditions, a dynamically parameter‐varying motion reference layer is constructed to improve the accuracy of the reference values of sideslip angle and yaw rate, and realize the joint control of them. Considering the adhesion coefficient, construct the comprehensive yaw rate state variable, and use the improved sliding mode control algorithm to calculate the expected yaw moment. The lower‐level controller uses the optimal distribution method to distribute the torque of each drive wheel in combination with the adhesion coefficient. By constructing a joint simulation platform of Carsim and Simulink, simulations under different road adhesion conditions are realized, verifying that the proposed improved strategy can effectively adapt to different adhesion conditions, while improve the handling stability of 4MIDEV.
Management of Frontal Bone Fracture in a Tertiary Neurosurgical Care Center—A Retrospective Study
Authors: Srinivasa Rakshith , Furtado Sunil V. , Sansgiri Tanvy , Vala Kuldeep 
Published: January 2022

Abstract

Objective We present our experience in the management of frontal bone fractures using the previously described radiologic classification of frontal bone fractures.

Methodology A retrospective study was conducted, which reviewed the medical records and computed tomographic (CT) scan images of patients with frontal bone fracture from January 2016 to February 2019. Patients with complete medical records and a follow-up of minimum 1 year were included in the study. Demographic details, mechanism of injury, associated intracranial injuries, maxillofacial fractures, management, and complications were analyzed. CT scan images were used to classify the frontal bone fractures using the novel classification given by Garg et al (2014). The indications for surgical treatment were inner table frontal sinus fracture with cerebrospinal fluid (CSF) leak, intracranial hematoma with significant mass effect requiring surgical evacuation, and outer table comminuted fracture that is either causing nasofrontal duct obstruction or for cosmetic purpose.

Results A total of 55 patients were included in the study. Road traffic accidents as the commonest cause of frontal bone fractures. The most common fracture pattern was type 1 followed by type 5 and depth B followed by depth A. Four patients presented with CSF rhinorrhea. CSF rhinorrhea was more frequent with fracture extension to the skull base (depth B, C, D), which was statistically significant (p < 0.001).

Conclusion Frontal bone fracture management has to be tailor-made for each patient based on the extent of the fracture, presence of CSF leak, and associated intracranial and maxillofacial injuries.
Research on Deep Learning-Based Algorithm and Model for Personalized Recommendation of Resources
Authors: Liu Yu’e 
Published: January 2022

Abstract
Resource recommendation system is a new type of management system, which uses personalized information to solve business needs such as customer consultation and product recommendation, and provides users with high quality services and achieves accurate marketing, so nowadays resource recommendation system has a pivotal role in modern resource management. In this paper, I study the algorithm and model of resource personalized recommendation based on deep learning, taking human resource recommendation as an example.
Research on Global Security Sharing of Power Grid Information Based on Differential Privacy Model
Authors: Li Cui , Wu Fei , Lin Wenqin 
Published: January 2022

Abstract
With the advancement of science and technology, intelligent power transmission technology is also constantly developing. Among them, the information security of the transmission grid in the power system is an important content that cannot be ignored. This article first analyzes the current status of power information security issues, including research on the current status of foreign power information security. Secondly, it studies the differential privacy model, finally it studies the power grid security domain information sharing technology.
Network Security from the Perspective of the Internet of Things
Authors: Zhou Ang 
Published: January 2022

Abstract
Networking is one of the new technologies supported by our country’s national “125” strategic industry plan, mainly used in medicine, military industry, transportation and other fields. While enjoying the convenient business of the, people also pay more attention to the security of the Internet of Things information system. Therefore, this article mainly discusses security under the perspective of the IoT, and understands the relevant basic theoretical knowledge about the IoT and security on the basis of a large number of documents, and then conceives the security methods under the perspective of the IoT, and the designed method has been tested, and the test results show that the performance of the encryption algorithm in the network security scheme of this article is due to the traditional encryption algorithm. When the encrypted text is 15000 bytes, the encryption time is 40s.
Cash Collection Model of Electric Power Business Office Based on Computer Algorithm
Authors: Guo Binghua , Guo Nan 
Published: January 2022

Abstract
With the continuous development of intelligent algorithms, mobile robot (hereinafter referred to as MR) technology is gradually mature, which has been widely used in a variety of industries, such as industry, agriculture, medical treatment, service and so on. With the improvement of intelligent level, people have higher and higher requirements for MRs, which requires MRs to constantly adapt to different environments, especially dynamic environments. In the dynamic environment, obstacle avoidance technology has become the focus of intelligent robot research, which needs to continuously develop a variety of algorithms. By combining a variety of algorithms, we can realize obstacle avoidance and PP (hereinafter referred to as PP) of MR, which can realize obstacle avoidance more efficiently, in real time and intelligently. Multi algorithm fusion of MR has become the main trend of obstacle avoidance in the future, which will realize PP and optimization. Firstly, this paper analyzes the differences between traditional algorithms and intelligent algorithms. Then, the kinematics model and PP algorithm of MR are analyzed. Finally, the simulation is carried out.
Research on Image Fusion Algorithm Based on Nonsubsampled Shear Wave Transform and Principal Component Analysis
Authors: Jia Huiying 
Published: January 2022

Abstract
With the development of network remote monitoring technology, its application in all walks of life has become more and more extensive. The application of remote monitoring technology makes the development of all walks of life more intelligent and informatized. This paper analyzes the development status of remote monitoring technology, and studies the design and implementation of remote network monitoring system based on computer technology. It also conducts related research on the future development trend of remote monitoring technology.
Research on Interactive Visual Communication Design System Based on Dynamic Image
Authors: Lai Runping 
Published: January 2022

Abstract
The SVR image marine-continental segmentation algorithm on account of ameliorated CV model can segment the marine-continental image efficiently, and compare the image results with the original model, so as to continuously iterate the effectiveness of image segmentation. On account of this, this paper first analyses the concept and main methods of SAR image marine-continental segmentation algorithm, then studies the SAR image marine-continental segmentation algorithm on account of ameliorated CV model, and finally gives the process and effect analysis of SAR image marine-continental segmentation on account of ameliorated CV model.
Dynamic Obstacle Avoidance Algorithm Based on DYNAMIC Environment MR
Authors: Guo Juan 
Published: January 2022

Abstract
With the rapid development of computer technology, the importance of database systems as an indispensable part of information systems is becoming more and more prominent. And nowadays, the society has been increasingly using modern means to program databases. Database is a large and complex, huge amount of data and has a certain structure and independence of the important system, its programming requires certain technical means, the author will be in the text for the database programming involved in the key technology to explain.
BIM Technology Based on the Cost of Landscape Engineering
Authors: Wang Zheng , Ma Cheng 
Published: January 2022

Abstract
With the development of science and technology, the number of robots manufactured is increasing day by day. Exploration into uncharted territory also arises, which poses great challenges for contemporary robot creation. Ordinary robots are not yet able to give people much of the help they need. In this paper, the dynamic direction of the robot through multiple linear reinforcement learning and the robot based on this reinforcement learning will help people to solve the problems in work will be discussed from the current situation, future trend and many different perspectives of the development of robots in China. Secondly, also put forward the need to prevent hidden trouble both solutions.
Research on A Joint Attribute Based Neural Network Model for Multi-class Voltage Violation
Authors: Qin Peng 
Published: January 2022

Abstract
Electronic engineering technology is a symbol of modern technology, and a large number of electronic devices have been produced. This paved the way for the development of the Internet. This article analyzes the characteristics of the application of computer electronic engineering technology, and it analyzes the measures to strengthen the application of electronic engineering technology and the measures to promote the development of electronic engineering technology. In addition, this article also studies the teaching system design of electronic engineering technology.
RETRACTED: Remote Monitoring System Based on Artificial Intelligence Technology
Authors: Wang Fanhua , Qu Jiangli 
Published: January 2022

Abstract
With the advent of the information age, IOTT has been favored by many industries and has become another profound revolution in the IT industry. In such an era, the application of IOTT in IB construction can broaden the practicability of intelligent system, ORA, improve the management and service ability of IB, so as to improve people’s quality of life. This paper expounds the development status and future challenges of IOTH, and analyzes the interactive design of smart TV.
Computer Network Security Defense Model
Authors: Niu Yiming , Du Wenyong , Tang Zhenying 
Published: January 2022

Abstract
With the rapid development of the Internet industry, hundreds of millions of online resources are also booming. In the information space with huge and complex resources, it is necessary to quickly help users find the resources they are interested in and save users time. At this stage, the content industry’s application of the recommendation model in the content distribution process has become the mainstream. The content recommendation model provides users with a highly efficient and highly satisfying reading experience, and solves the problem of information redundancy to a certain extent. Knowledge tag personalized dynamic recommendation technology is currently widely used in the field of e-commerce. The purpose of this article is to study the optimization of the knowledge tag personalized dynamic recommendation system based on artificial intelligence algorithms. This article first proposes a hybrid recommendation algorithm based on the comparison between content-based filtering and collaborative filtering algorithms. It mainly introduces user browsing behavior analysis and design, KNN-based item similarity algorithm design, and hybrid recommendation algorithm implementation. Finally, through algorithm simulation experiments, the effectiveness of the algorithm in this paper is verified, and the accuracy of the recommendation has been improved.
Research on Multi-scene and Multi-station Fusion Mode Based on Layered Theory of Energy Internet
Authors: Yang Xiaoliang , Zhao Honggang , Ren Hongyuan 
Published: January 2022

Abstract
Multi-station integration is a new form of business in the development of energy Internet and a brand new practice of power iot. It is an innovative form that strengthens the interaction between charge and storage of source network on both sides of energy supply and demand, and enhances the flexibility of power grid by taking substation, energy storage station, distributed energy station and other resources as the core. However, there is not a set of construction mode that can guide implementation, copy and popularize. Therefore, guided by the existing construction practice of multi-station fusion in China and combined with multi-user scenarios, this paper studies the multi-station fusion mode, proposes a multi-station fusion planning system based on EIST theory, gives the fusion mode under different business scenarios, and synchronously constructs a new ecological business chain with multi-station fusion as the core. It aims to make full use of the innate advantages of substation in energy flow convergence, realize the “integration of energy flow, business flow and data flow”, comprehensively support the transformation of digital power grid, and practice the national development strategy of “digital economy” and “digital China”.
Bayesian Model Updating Based on Kriging Surrogate Model and Simulated Annealing Algorithm
Authors: Wang Zenghui , Yin Hong , Peng Zhenrui 
Published: January 2022

Abstract
Aiming at the problem of difficulty in selecting the proposal distribution and low computational efficiency in the traditional Markov chain Monte Carlo algorithm, a Bayesian model updating method using surrogate model technology and simulated annealing algorithm is proposed. Firstly, the Kriging surrogate model is used to mine the implicit relationship between the structural parameters to be updated and the corresponding dynamic responses, and the Kriging model that meets the accuracy requirement is used to replace the complex finite element model to participate in the iterative calculation to improve the model updating efficiency. Then, the simulated annealing algorithm is introduced to reorganize the Markov chains from different proposal distributions to obtain high-quality posterior samples, which are used to estimate the parameters posterior distributions. Finally, a space truss structure is used to verify the effectiveness of the proposed method.
Punching Shear Failure Regulation of Reinforced Concrete Beams Subjected to Close-in Explosion
Authors: Tang Hong , Zhai Hongbo , Su Jianjun , Fu Teng 
Published: January 2022

Abstract
Aiming at the damage effect of reinforced concrete beams subjected to close-in explosion, numerical simulation and dimensional analysis are carried out to study the damage of beams under close-in explosion with spherical charge. The damage characteristics of beams were obtained by the methods of AUTODYN and DYNA. Using dimensional analysis, the relationship between the damage characteristics of reinforced concrete beams and the stand-off distance is deduced. The empirical equation of the beam punching shear failure characteristics is fitted on the basis of numerical simulation. The results show that the simulation method is more efficient than the fluid-solid coupling calculation; the proposed empirical equation is in good agreement with the experimental results. The relationship between failure width and the stand-off distance obtained by the fitting and the modelling method have reference value for the research on the damage effect of reinforced concrete beams.
A Quantitative Index Representing Crack Shapes and Corresponding Techniques
Authors: Wu Junhua , Kuang Tangliang , Fu Fangyuan , Li Jiahao 
Published: January 2022

Abstract
In order to quantificationally describe the soil cracks due to dry-wet cycles, the concept of gray level entropy is applied according to the physical significance of the information entropy to represent various shapes of cracks. Then a piece of simple and easy-to-use equipment for taking photos is used to monitor and record the crack propagation. A grayscale image and the corresponding gray level entropy are obtained automatically by a program. Test results showed that gray level entropy can quantificationally describe the shape of cracks reasonably well and evaluate the degree of crack development effectively.