bluuebunny/crossref_metadata_2025 huggingface dataset:
A Sparse Non-parametric BRDF Model
Authors: Tongbuasirilai Tanaboon , Unger Jonas , Guillemot Christine , Miandji Ehsan
Published: May 2022

This paper presents a novel sparse non-parametric Bidirectional Reflectance Distribution Function (BRDF) model derived using a machine learning approach to represent the space of possible BRDFs using a set of multidimensional sub-spaces, or dictionaries. By training the dictionaries under a sparsity constraint, the model guarantees high-quality representations with minimal storage requirements and an inherent clustering of the BDRF-space. The model can be trained once and then reused to represent a wide variety of measured BRDFs. Moreover, the proposed method is flexible to incorporate new unobserved data sets, parameterizations, and transformations. In addition, we show that any two, or more, BRDFs can be smoothly interpolated in the coefficient space of the model rather than the significantly higher-dimensional BRDF space. The proposed sparse BRDF model is evaluated using the MERL, DTU, and RGL-EPFL BRDF databases. Experimental results show that the proposed approach results in about 9.75dB higher signal-to-noise ratio on average for rendered images as compared to current state-of-the-art models.
A Secure Face Recognition for IoT-enabled Healthcare System
Authors: Sardar Alamgir , Umer Saiyed , Rout Ranjeet Kr. , Wang Shui-Hua , Tanveer M.
Published: May 2022

In Healthcare, the Internet of Things (IoT)-enabled surveillance cameras capture thousands of images every day, where face recognition provides reliable security as well as smart treatment through patient sentiment analysis, emotion detection, automated nurse calls, and hospital traffic systems. In this article, a secure face recognition system for the IoT-enabled Healthcare system has been proposed. Here each registered person will be identified by his/her face biometric with strong template protection schemes. To protect the biometric information, three-step template protection techniques are proposed: (i)
Cancelable biometrics
, (ii)
BioCrypto-Circuit
, and (iii)
BioCrypto-Protection
. The performance of the proposed system has been tested on four benchmark face databases, CVL, IITK, Casia-Face-v5, and FERET. The results of the proposed system are reported in terms of the correct recognition rate and the equal error rate. These performances have also been compared with some state-of-the-art methods with respect to each employed database, which shows the novelty of the proposed system.
Methods— A Simple Method to Measure In-Plane Electrical Resistance of PEM Fuel Cell and Electrolyzer Catalyst Layers
Authors: Bohn Luca , von Holst Miriam , Ortiz Edgar Cruz , Breitwieser Matthias , Vierrath Severin , Klose Carolin
Published: May 2022

Optimizing the catalyst layer of polymer electrolyte membrane fuel cells and water electrolyzers requires a good understanding of its properties. The in-plane electrical resistance of the catalyst layer is a key property, which impacts the overall cell performance. In this work, we present a simple method to measure the in-plane electrical resistance of catalyst layers under various conditions based on the transfer length method. The applicability of the method was demonstrated on four examples: 1) Placing the compact setup in a climate chamber, showed that reducing the relative humidity from 95% to 40% yields a reduction of the resistivity of 15% in a fuel cell cathode catalyst layer; 2) graphitizing CNovel™ carbon support reduces the resistivity by 98% in a fuel cell cathode catalyst layer; 3) adding an electrically conductive polymer as electrode binder lowers the in-plane resistivity of a water electrolyzer anode by 50%; 4) adding IrO2-nanofibers to a low-loaded IrO2-nanoparticle anode lowers its resistivity by 60%. The broad range of applications in this work confirms the versatility of the setup enabling widespread application. The method hence contributes to an improved deconvolution of different loss mechanisms including electrical in-plane resistivity.
Resveratrol mediates the miR-149/HMGB1 axis and regulates the ferroptosis pathway to protect myocardium in endotoxemia mice
Authors: Wang Xiaoli , Simayi Alimujiang , Fu Juan , Zhao Xuan , Xu Guiping
Published: May 2022

Sepsis is an unusual systemic reaction. Resveratrol is involved in sepsis treatment. This study explored the mechanism of resveratrol on sepsis by regulating the miR-149/HMGB1 axis.
Metabolomic profiling demonstrates evidence for kidney and urine metabolic dysregulation in a piglet model of cardiac surgery-induced acute kidney injury
Authors: Davidson Jesse A. , Robison Justin , Khailova Ludmila , Frank Benjamin S. , Jaggers James , Ing Richard J. , Lawson Scott , Iguidbashian John , Ali Eiman , Treece Amy , Soranno Danielle E. , Osorio-Lujan Suzanne , Klawitter Jelena
Published: May 2022

This project explored the metabolic underpinnings of postoperative acute kidney injury (AKI) following pediatric cardiac surgery in a translationally relevant large animal model of cardiopulmonary bypass with deep hypothermic circulatory arrest. Here, we present novel evidence for dysregulated tryptophan catabolism and purine catabolism in kidney tissue and increased urinary glycolysis intermediates in animals who developed histological AKI. These pathways represent potential diagnostic and therapeutic targets for postoperative AKI in this high-risk population.
COP9 signalosome deletion promotes renal injury and distal convoluted tubule remodeling
Authors: Cornelius Ryan J. , Nelson Jonathan W. , Su Xiao-Tong , Yang Chao-Ling , Ellison David H.
Published: May 2022

Cullin 3 (CUL3) targets with-no-lysine-kinase 4 (WNK4), which activates Na+-Cl− cotransporter (NCC) in the distal convoluted tubule (DCT) of the kidney. Renal-specific genetic deletion of the constitutive photomorphogenesis 9 signalosome, an upstream regulator of CUL3, resulted in a reduction of NCC due to DCT hypoplasia, which coincided with cortical kidney injury. The data indicate that nephron-specific disruption of the cullin-RING ligase system results in a complex progression of tubule injury leading to hypoplasia of the DCT.
High-Strength Hollow Glass Microsphere/Epoxy Resin Composite Insulation Materials for Deep In-Situ Condition Preserved Coring
Authors: Yang Jianping , Chen Ling , He Zhiqiang , Li Cong , Yu Bo , Wei Zijie , Zhao Zhiyu , Hao Zongxin
Published: May 2022

To establish in-situ fluidized coal mining technology and a theory of mining mechanics for deep coal resources, it is crucial to obtain a “fidelity rock core” that maintains deep in-situ conditions to understand the physical mechanics of deep rock. Doing so requires the development of in-situ condition-preserved coring (ICP-coring) technology. In this work, hollow glass microsphere/epoxy resin (HGM/EP) composite insulation materials with high strengths were prepared. An epoxy resin matrix with high strength and high-temperature resistance was selected from among epoxy resins cured by different curing agents. Then, a series of composite insulation materials with different HGM volume fractions were prepared. The mechanical strengths of the composites decreased with increasing HGM volume fraction. Then, thermal insulation materials suitable for different ICP-coring depths were selected. Changes in the thermal conductivities and mechanical strengths of the composites were characterized after they were subjected to high water pressure (45 MPa). Verification of the applicability of the thermal insulation material under high water pressure (45 MPa) conditions demonstrated that it met the working requirements for the ICP-coring device.
Study of Instability Mechanism and Roof Caving Mode of Cementing Filling Stope: The Case Study of a Nonferrous Metal Mine in China
Authors: Zhong Min , Yang Peng , Hu Ying-Peng
Published: May 2022

The downward layered cemented filling method, which is generally used in the mining of high‐value metal mines with poor surrounding rock quality, is widely believed to not cause large‐scale instability of the roof strata in the mining area. However, a nonferrous metal mine in northern China, which has been using the downward cemented filling method, suddenly suffered a violent collapse accident of the stope roof, and the surface is accompanied by significant subsidence on a large scale. The accident revealed that the roof collapse mechanism still needed further research. In this paper, field investigation and numerical simulation were combined to study the mechanism of roof collapse. Based on the input data including in‐situ stress state, geological occurrence pattern, and mining steps, the particle flow code (PFC) was used to simulate the stress and displacement changes of the rock mass under mining disturbance. These results indicate that the failure process of the overlying rock mass can be divided into four stages due to the special geological conditions of the mine: pillar stability stage, pillar chain failure stage, roof filling caving stage, and gneiss plug settlement stage. In the early stage of mining, the pillars between the mined‐out drifts could effectively support the overlying rock mass due to the small exposed roof. As more drifts were mined, the vertical pressure on the pillars was added. When the number of mining drifts reached five, one of the pillars was firstly destroyed due to overloading, and then the pressure of the overlying strata was transferred to the surrounding pillars, leading to the subsequent failure of other pillars. When pillars were damaged, arch caving appeared inside the roof filling material. Finally, the vertical shear resistance capacity of the gneiss mass above is insufficient, owing to the steeply dipping joints. Finally, the gneiss above was subject to sudden plug settlement along the vertical joints. It should be noted that the stope mining management of the mine has a significant impact on production safety. In order to ensure the stability of the stope formed by cemented filling method, the dense distribution of simultaneous mining drifts should be avoided and the mine‐out areas should be backfilled in time.
Study on the Influence of Cracks on the Mechanical Performance of Tunnel Lining Structure Based on Fracture Mechanics Theory
Authors: Hu Taotao , Hu Xiong , Chen Jianxun , Wang Chuanwu , Yang Yi
Published: May 2022

The problem of tunnel lining cracking is becoming more and more common. The existence of cracks changes the stress state of lining structure and has an adverse impact on the safety of lining structure. In this paper, the mechanical properties of tunnel cracked lining structure are studied. Based on the theories of structural mechanics and fracture mechanics, the performance indexes of cracks in the arch waist of tunnel secondary lining are studied with the reference of stress intensity factor. The numerical simulation calculation is carried out. Finally, the XFEM extended finite element method is used, the crack damage of secondary lining under different crack depths is demonstrated and analyzed, and the theoretical value is compared with the numerical value. The results show that, for the cracked model (the crack depth is 12 cm), the stress and displacement at the arch waist increase greatly compared with the uncracked model and are the most significant with the increase of crack depth. In the initial stage of crack development, the growth of stress and displacement of the structure is not obvious, and the small change of crack depth in the later stage can also cause great growth of stress and displacement. Compared with the uncracked model, when the crack depth is 3 cm, the maximum vertical stress increases by 4.3 times and the maximum settlement increases by 1.3 times. When the crack depth is 18 cm, it increases by 21.2 times and 2.94 times, respectively. The research results can provide a theoretical basis for the prevention and treatment of cracks in the arch waist of tunnel secondary lining during tunnel operation.
Multilabel Emotion Recognition Technique considering the Characteristics of Unstructured Conversation Data
Authors: Lim Myungjin , Yi Moungho , Kim Pankoo , Shin Juhyun
Published: May 2022

Due to the recent increase in non-face-to-face services due to COVID-19, the number of users communicating through messengers or SNS (social networking service) is increasing. As a large amount of data is generated by users, research on recognizing emotions by analyzing user information or opinions is being actively conducted. Conversation data such as SNS is freely created by users, so there is no set format. Due to these characteristics, it is difficult to analyze using AI (artificial intelligence), which leads to a decrease in the performance of the emotion recognition technique. Therefore, a processing method suitable for the characteristics of unstructured data is required. Among the unstructured data, most emotion recognition in Korean conversation recognizes a single emotion by analyzing emotion keywords or vocabulary. However, since multiple emotions exist complexly in a single sentence, research on multilabel emotion recognition is needed. Therefore, in this paper, the characteristics of unstructured conversation data are considered and processed for more accurate emotion recognition. In addition, we propose a multilabel emotion recognition technique that understands the meaning of dialogue and recognizes inherent and complex emotions. A deep learning model was compared and tested as a method to verify the usefulness of the proposed technique. As a result, performance was improved when it was processed in consideration of the characteristics of unstructured conversation data. Also, when the attention model was used, accuracy showed the best performance with 65.9%. The proposed technique can contribute to improving the accuracy and performance of conversational emotion recognition.
Interactive Design of Personalized Website Search Interface Based on Visual Communication
Authors: Xu Zhen , Wang Shan
Published: May 2022

Aiming at the problems of low user satisfaction and long search time in the traditional interactive design method of the personalized website search interface, a personalized website search interface interactive design method based on visual communication is proposed. Under the analysis of personalized website users' search behavior, the interactive personalized website search interface is designed through a navigation module, search module, link module, interactive layout module, and visual rendering module; in the visual rendering module, the advanced texture mapping method is used to render the personalized website search interface; on the personalized website search interface, the disturbance function is imported along the normal vector, the simplified new normal vector is intelligently calculated through the concave convex texture mapping algorithm, the normal vector is solved to generate the intersection point of the high-precision interface, the illumination brightness value of each pixel of the interface is intelligently calculated, the visual communication rendering model is constructed, and the visual communication effect of the interface is improved. The simulation results show that the website interface search time of this method is within 4.9 s and the user satisfaction is up to 100%, indicating that the interaction effect of the personalized website search interface designed by this method is good.
DNAJA1 Stabilizes EF1A1 to Promote Cell Proliferation and Metastasis of Liver Cancer Mediated by miR-205-5p
Authors: Yi Lizhi , He Shunhui , Cheng Zhengyu , Chen Xi , Ren Xiaoli , Bai Yang
Published: May 2022

Liver cancer is one of the most common and aggressive malignancies worldwide with poor prognosis. Studies on pathogenesis of liver cancer are urgently demanded to develop better treatment strategy. Here, we found that overexpression of DnaJ heat shock protein family (Hsp40) member A1 (DNAJA1) increased cell proliferation, invasion, and angiogenesis in Huh 7 and HepG2 cells, while depletion of DNAJA1 in MHCC-97H and HCC-M3 showed opposite effects. In vivo functional assays indicated that DNAJA1 promoted tumor growth and pulmonary metastasis in mice. Mechanistically, as a direct target of miR-205-5p, DNAJA1 promoted proliferation and metastasis of liver cancer cells by stabilizing eukaryotic elongation factor 1A1 (EF1A1). Moreover, DNAJA was markedly upregulated in liver cancer tissues (

P
<
0.05

) and was significantly associated with poor prognosis. And its expression was correlated with differentiation (

P
<
0.001

), dissemination (

P
<
0.001

), and serum AFP (

P
=
0.029

). The mRNA levels of miR-205-5p and DNAJA1 were negatively correlated in liver cancer. In conclusion, our study reveals that DNAJA1 acts as an oncogene in liver cancer via miR-205-5p/EF1A1 axis and might be a potential biomarker to predict the prognosis for liver cancer patients.
Control for Isokinetic Exercise with External Disturbance
Authors: Guo Xinwei , Sheng Yixuan , Liu Jinbao , Liu Honghai
Published: May 2022

Isokinetic exercise is considered as one of the most effective ways for rehabilitation and muscle strength enhancement. As rehabilitation equipment, the isokinetic exercise device assists isokinetic movement using a single fixed axis and relevant joint adapters, and it requires high stability and safety performances to cooperate with human. In this paper, a brushless DC motor (BLDCM) was adopted to make a study of isokinetic control. Fractional‐order fuzzy PID (FOFPID) controller is an effective controller for the nonlinear system to realize isokinetic control according to reference speed and irregular disturbance (load torque). The model of the BLDCM and FOFPID controller system is built in MATLAB/Simulink to simulate the velocity response of the controller, and a comparison between the FOFPID controller and PID controller is made to verify the system stability.
Reliability Evaluation of Cryogenic Shut-Off Valve Based on Weibull Segmented Model
Authors: Lu Yi , Zheng Jian-Ming , Chen Ting
Published: May 2022

In order to improve the prediction accuracy of cryogenic shut-off valve failures and quantitatively analyze the distribution law of cryogenic shut-off valve failures, this study establishes a solution model based on genetic algorithm and statistics of cryogenic shut-off valve operating data, which is combined with two Weibull segmented models. The research analyzed the characteristics of the failure rate curve using probability statistical mathematics methods, used the K-S test method to validate the obtained two-parameter Weibull model, and compared the fitting results with the Weibull probability plot. The results show that the genetic algorithm based on D-test has both higher accuracy of curve fitting and more accurate parameters, which overcomes the shortcomings of inaccurate fitting results of WPP graphs, and can be used as a basis for theoretical assessment of reliability levels.
Dynamic Simulation and Analysis of Large-Scale Debris Flow Field
Authors: Ma Zongyuan , Liu Jianqiang
Published: May 2022

The method of two-phase flow is used to analyze the three-dimensional debris flow field via the theory of computational fluid dynamics (CFD). The theory of computational fluid dynamics and finite volume method is introduced briefly, and the rheological characteristic of non-Newtonian fluid is illuminated. The three-dimensional topography model of Niwan gully was established, and the three-dimensional debris flow field was analyzed. The values and distributions of velocity and pressure field of the debris flow have been obtained; the relationship between the shear strain rate, viscosity, and velocity was analyzed. The results suggest that it is more accurate to catch the free surface of debris flow using the method of two-phase flow. The sediment area of the Niwan gully debris flow can be estimated quickly, and it may have significance for the engineering prevention of debris flow disasters.
Research and Analysis of Evaluation and Expansion of Physical Education Teaching System Based on Internet of Things Communication
Authors: Wang Qingyun , Li Hua
Published: May 2022

Under the influence of China’s education reform, the assessment and evaluation of physical education have gradually attracted more and more people’s attention. Teaching evaluation ignores the development of students’ sports lifestyle. The article uses principal component analysis to establish a teaching quality evaluation model and design an extensible teaching evaluation system. The article uses box plots to reflect the characteristics of data changes, which can clearly draw differences between samples. Three variables of experimental class, reference class, and standard class are set up to conduct controlled experiments, and statistics are made from the survey results of the 2018-2019 school year physical education evaluation student evaluation. The experimental results indicate that after using the system, students’ learning satisfaction and enthusiasm have been greatly increased, and students’ weekly exercise time and sports items have also increased. Before and after the use of the teaching evaluation system, the students’ satisfaction with the evaluation system and the degree of movement recognition were tested. The results show that the system has a positive effect on the students’ evaluation satisfaction and movement recognition.
Analysis of Joint Angular Distribution for Nonreciprocal Beams via the Mixture of Gaussian Distribution Based on Ray-Tracing
Authors: Zhang Jiachi , Liu Liu , Tan Zhenhui , Wang Kai , Zhou Tao
Published: May 2022

Multiple-input and multiple-output (MIMO) technology can not only provide huge data rates but also overcome the severe propagation attenuation effect, especially in millimeter-wave (mmWave) bands by utilizing beamforming. The nonreciprocal beam is a novel transmission pattern, which indicates that transceivers adopt asymmetrical beamwidths. Such a special pattern can achieve fast beam alignment and alleviate equipment costs. Thorough knowledge of the corresponding wireless channel is pivotal to the system design and optimization, which remains to be investigated. In this paper, we first propose a 3-dimensional (3-D) channel model based on ray-tracing, which is capable of reflection simulation. Based on this model, the ray-based beamforming mechanism is illustrated. The angular distribution is pivotal to beam channel modeling and characterization since transceiver beams filter rays in the angular domain. Then, we conduct an omnidirectional antenna-based channel simulation in an urban macro-cell scenario via the ray-tracing platform. On this basis, we focus on the distribution of the quasiangles, i.e., angles between departure/arrival reflected rays and the line-of-sight (LoS) path. We find that gamma distribution is a better option to fit the quasiarrival angular distribution than the von Mises distribution. Furthermore, to characterize the relationship between quasiangles of departure (AoD) and quasiangles of arrival (AoA), the Gaussian mixture model (GMM) is adopted and the expectation-maximization (EM) algorithm is used to estimate the unknown parameters of GMM. Our findings provide useful insights to beam channel modeling, which should take the joint angular distribution into consideration.
Effects of Moxibustion Combined with Ultrashort Wave on Pain and Oxidative Stress in Elderly Patients with Knee Osteoarthritis
Authors: Wang Yan , Yan Tingquan , Mu Xiaojing , Dong Hong , Su Jinman
Published: May 2022

Objective. To explore the effect of moxibustion instrument combined with ultrashort wave on pain and oxidative stress in elderly patients with knee osteoarthritis (KOA). Method. 84 elderly patients with knee osteoarthritis treated in our hospital from May 2020 to June 2021 were randomly divided into observation group (

n
=
42

) and control group (

n
=
42

). The observation group was treated with moxibustion instrument combined with ultrashort wave, while the control group was treated with moxibustion instrument. The clinical efficacy of the two groups was compared, and the pain of the two groups was evaluated by visual analogue scale (VAS). Lysholm knee joint score scale and osteoarthritis index (WOMAC) scale of Western Ontario and McMaster University were used to evaluate the knee joint function of the two groups, and the levels of interleukin-1β (IL-1β), tumor necrosis factor α (TNF-α), serum superoxide dismutase (SOD), serum malondialdehyde (MDA), serum miR-155, and NLRP3 were detected in the two groups, and the comprehensive quality of life assessment questionnaire-74 was used, and the adverse reactions were compared between the two groups. Results. The total effective rate of observation group (90.48%) was higher than that of control group (69.05%) (

P
<
0.05

). After treatment, VAS, Lysholm knee joint, WOMAC, quality of life scores, IL-1β, TNF-α, SOD, MDA, miR-155, and NLRP3 in the observation group were better than those in the control group, and the differences were statistically significant (

P
<
0.05

). There were no obvious adverse reactions in both groups. Conclusion. Moxibustion instrument combined with ultrashort wave can effectively improve knee joint pain, knee joint function, inflammatory reaction, oxidative stress reaction, and quality of life in elderly KOA patients, and the therapeutic effect is good.
Assessment and Evaluation of Different Machine Learning Algorithms for Predicting Student Performance
Authors: Alsariera Yazan A. , Baashar Yahia , Alkawsi Gamal , Mustafa Abdulsalam , Alkahtani Ammar Ahmed , Ali Nor’ashikin
Published: May 2022

Student performance is crucial to the success of tertiary institutions. Especially, academic achievement is one of the metrics used in rating top-quality universities. Despite the large volume of educational data, accurately predicting student performance becomes more challenging. The main reason for this is the limited research in various machine learning (ML) approaches. Accordingly, educators need to explore effective tools for modelling and assessing student performance while recognizing weaknesses to improve educational outcomes. The existing ML approaches and key features for predicting student performance were investigated in this work. Related studies published between 2015 and 2021 were identified through a systematic search of various online databases. Thirty-nine studies were selected and evaluated. The results showed that six ML models were mainly used: decision tree (DT), artificial neural networks (ANNs), support vector machine (SVM), K-nearest neighbor (KNN), linear regression (LinR), and Naive Bayes (NB). Our results also indicated that ANN outperformed other models and had higher accuracy levels. Furthermore, academic, demographic, internal assessment, and family/personal attributes were the most predominant input variables (e.g., predictive features) used for predicting student performance. Our analysis revealed an increasing number of research in this domain and a broad range of ML algorithms applied. At the same time, the extant body of evidence suggested that ML can be beneficial in identifying and improving various academic performance areas.
Ginger for Healthy Ageing: A Systematic Review on Current Evidence of Its Antioxidant, Anti-Inflammatory, and Anticancer Properties
Authors: Ozkur Mehtap , Benlier Necla , Takan Işıl , Vasileiou Christina , Georgakilas Alexandros G. , Pavlopoulou Athanasia , Cetin Zafer , Saygili Eyup Ilker
Published: May 2022

The world’s population is ageing at an accelerated pace. Ageing is a natural, physiological but highly complex and multifactorial process that all species in the Tree of Life experience over time. Physical and mental disabilities, and age-related diseases, would increase along with the increasing life expectancy. Ginger (Zingiber officinale) is a plant that belongs to the Zingiberaceae family, native to Southeast Asia. For hundreds of years, ginger has been consumed in various ways by the natives of Asian countries, both as culinary and medicinal herb for the treatment of many diseases. Mounting evidence suggests that ginger can promote healthy ageing, reduce morbidity, and prolong healthy lifespan. Ginger, a well-known natural product, has been demonstrated to possess antioxidant, anti-inflammatory, anticancer, and antimicrobial properties, as well as an outstanding antiviral activity due to a high concentration of antiviral compounds. In this review, the current evidence on the potential role of ginger and its active compounds in the prevention of ageing is discussed.
Further Improvement on Stability Results for Delayed Load Frequency Control System via Novel LKFs and Proportional‐Integral Control Strategy
Authors: Liu Xingyue , Shi Kaibo , Tang Lin , Tang Yiqian
Published: May 2022

In this work, novel stability results for load frequency control (LFC) system considering time‐varying delays, nonlinearly perturbed load, and time‐varying disturbance of system parameters are proposed by using proportional‐integral control strategy. Considering the nonlinearly exogenous load disturbance and system parameters disturbance, an improved stability criterion in the form of linear matrix inequalities (LMIs) is derived by novel simple Lyapunov–Krasovskii functionals (LKFs). The delay‐dependent matrix in quadratic term, cross terms of variables, and quadratic terms multiplied by 1st, 2nd, and 3rd degrees of scalar functions are included in the new simple LKF. Taking the single‐area and two‐area LFC system installed with proportional‐integral (PI) controller as example, our results surpass the previous maximum allowable size of time delay. Meanwhile, the relationship between time delay varying rate, load disturbance degree, gains of PI controller, and delay margin of the LFC system is researched separately. The results can provide guidance to tune the PI controller for achieving maximum delay margin, in which the LFC system can withstand without losing stability. At last, the simulation results verify the effectiveness and superiority of the proposed stability criterion.
An Innovation and Entrepreneurship Management System for Universities Based on Cluster Analysis Theory
Authors: Zhao Weijie , Fang Liang
Published: May 2022

With the development of the market economy and changes in the demand for talents in the market, the cultivation of innovation and entrepreneurship (IAE) among university students has been emphasized, and how to improve the quality of IAE education and promote the overall development of university students has become a key concern of university teachers. Therefore, the design and implementation of the IAE project management system should be explored in the study, starting from the IAE education of university students. The thesis addresses the current situation and characteristics of IAE development of university students and develops a WEB system applicable to the project management of IAE for university students at this stage. Cluster analysis is a mathematical statistical method for grouping and categorising similar data. The design of a classification system based on university innovation and entrepreneurship data proposes a new definition of outlier index for outliers detected in real time, combined with the concept of CBLOF(t). On this basis, the system also implements the monitoring function for abnormal data, thus serving as system optimisation and fault warning. The system implements the main functions such as login, registration, project release, project declaration, and management.
Effects of Different Polishing Systems on Surface Roughness and Crystal Structure of Zirconia
Authors: Chen Cheng , Zeng Xiaohua
Published: May 2022

Objective. Intraoral polishing systems have become an alternative method for reglazing, which is important to prevent or minimize rapid wear of the opposing teeth. To assess the influence of different polishing systems and duration on surface roughness and crystal structure of zirconia was compared, contributing to the preparation and effect improvement of clinical zirconia restorations. Methods. Forty-eight zirconia specimens with equal size were fabricated by cutting and sintering zirconia discs. Then X-ray diffractometer (XRD) was adopted for examination of the specimens. Six specimens were selected as the grinding-polishing group (GL) after polishing, grinding, and glazing. Then six specimens were randomly selected from the remaining specimens as the grinding-unpolished group (GR) after surface conditioning by dental diamond burs. Subsequently, based on different polishing systems and duration, the rest of specimens were divided into following groups (

n
=
6

): Youdent-20s group (Y20), Youdent-40s group (Y40), Youdent-60s group (Y60), Toboom-20s group (T20), Toboom-40s group (T40), and Toboom-60s group (T60). Additionally, a contour graph was applied for assessing the surface roughness of zirconia, scanning electron microscope (SEM) for observing surface topography, and X-ray diffraction analysis (XRD) for determining crystal structure of zirconia. Results. The GR group had the highest roughness, and the roughness of the specimens polished for 20 s with different polishing systems was significantly higher than those polished for 40 s and 60 s with the same polishing systems. There were no significant difference between the Y20 and T20 groups, while the roughness of the specimens in both Y40 and Y60 groups was significantly higher than that of the T40 and T60 groups. And with the increasing polishing duration, the surface morphology of the specimen was gradually smooth and the morphology was gradually regular. Besides, the surface scratches of the T group were shallower than that of the Y group at the same polishing duration. The peak value of XRD profile of the specimen after grinding and polishing process was consistent with the baseline pattern of that the original specimen. Conclusion. Glazing can reduce the surface roughness of the specimens. Besides, the polishing effect of Toboom (TOB) system (

polishing
 
duration
=
60
 
s

) is the best. And different polishing durations of TOB system have no significant effect on the crystal surface structure of the specimen.
NeuRec: Incorporating Interpatient prior to Sparse‐View Image Reconstruction for Neurorehabilitation
Authors: Liu Cong , Wang Qingbin , Zhang Jing
Published: May 2022

Medical imaging technologies such as computed tomography (CT) and magnetic resonance imaging (MRI) imaging are indispensable for contemporary neurorehabilitation diagnostics, intervention, and monitoring. It would be desirable to reconstruct images from sparse measurements to reduce the ionizing radiation and motion artifacts. Although recent coordinate‐based representation methods have shown promise advances for sparse‐view reconstruction, they overfit a single MLP on a single patient. In this work, we generalize it across many patients by incorporating an interpatient prior into the ill‐posed inverse/reconstruction problem, which is the missing ingredient in the previous works. The experiment demonstrates that our method significantly improves image quality over the state‐of‐the‐art both qualitatively and quantitatively. Thus, our method provides a powerful and principled means to deal with the measurement‐scarce problem.
Effects of Surgical Treatment Guided by the Three-Column Classification Method on Knee Joint Function and Postoperative Complications in Patients with Tibial Plateau Fractures
Authors: Guo Jiayi , Liu Yuan , Feng Yiran , Zhang Lin , Li Feng , Zhang Yunfei , Wang Zhenya , Wen Yongbing , Guo Yanxing
Published: May 2022

Many patients with tibial plateau fractures present with various degrees of soft tissue contusion and severely damaged articular surface, ligament, and vascular nerves, and thus how to treat this kind of patient has become one of the great difficulties in clinical practice. Therefore, we aim to investigate the effects of surgical treatment guided by the three-column classification method on knee joint function and postoperative complications in patients with tibial plateau fractures. A total of 120 patients with three-column tibial plateau fractures admitted to our hospital from January 2018 to January 2019 were selected and divided into group A (n = 60) and group B (n = 60). Among them, the group A patients were treated with an anterior lateral approach in floating positions combined with reduction plate internal fixation with an L-shaped approach in the posteromedial joint, while the patients in group B received reduction plate internal fixation with a knee midline incision in supine positions. After that, the perioperative indexes, knee function scores, the MOS item short-from health survey (SF-36) scores, complication rate (CR), and overall treatment efficacy of the patients were compared between the two groups. The perioperative indexes in group A were significantly better than those in group B (P < 0.001); the knee function scores and SF-36 scores in group A were significantly higher than those in group B (P < 0.001); the CR in group A was significantly lower than that in group B (P < 0.001); the treatment efficacy in group A was significantly better than that in group B (P < 0.05). The three-column classification method, with highly instructive significance in tibial plateau fracture surgery, can improve treatment efficacy and reduce the incidence of complications, which is worthy of application and promotion in clinical practice.
Research on Earnings Management of Growth Enterprise Market in China Stock Market: Comparative Analysis Based on the BPNN, GBDT, and MLR Models
Authors: Jia Dian , Xue Ruixiang
Published: May 2022

This study, based on 2011–2020 China’s listed companies on GEM as research samples, introduces the BPNN (BP neural network) and GBDT (Gradient Boosting Decision Tree) model into the research of the relationship between internal governance and earnings management, which will be comparatively analyzed with the empirical results of the traditional multiple linear regression model, so as to study its validity and predictive power in the earnings’ management research field. The results show the following. (1) The matching effect of the multiple linear regression model is poor in the analysis of GEM, with a high rate of experimental data distortion. However, the prediction ability of BPNN and gradient lifting tree model is much better than that of the multiple linear regression model. (2) The gradient lifting tree model is comparatively more suitable for the study of accrual earnings’ management, while BP neural network is more suitable for the study of real earnings’ management. Through the above research, new ideas will be provided for the application research of machine learning in the future.
Comparison of the Value of Conventional Ultrasound and Contrast‐Enhanced Ultrasound‐Guided Puncture Biopsy in Different Sizes of Peripheral Pulmonary Lesions
Authors: You Qi-Qin , Peng Shi-Yi , Zhou Zhi-Ying , Tan Xing-Li , Miao Xian-Sheng
Published: May 2022

Objective. To compare the clinical value of contrast‐enhanced ultrasound and conventional ultrasound‐guided puncture biopsy in peripulmonary lesions of different sizes. Materials and Methods. 110 patients with peripulmonary lesions were randomly divided into two groups: the conventional ultrasound‐guided group and the contrast‐enhanced ultrasound‐guided group. The lesions in the two groups were further divided into two groups according to the size of the lesions, and the tissues taken after puncture biopsy were sent for pathological examination. The pathological results were compared with the postoperative pathological results and other examination results, and the complications were recorded at the same time. Results. In the conventional ultrasound group, the success rate of single puncture was 72.7% and the success rate of puncture was 80.0%; in the contrast group, the success rate of single puncture was 90.9% and the success rate of puncture was 94.6%. The difference between the two groups was statistically significant. There was no significant difference in needle bleeding and pneumothorax between the two groups. In the <30 mm group, there was no significant difference in the success rate of single puncture and the success rate of puncture between the two groups according to the size of the lesions. In the ≥30 mm group, the success rate of single puncture (97.1%) and puncture success rate (97.1%) in the contrast guidance group were higher than those in the conventional ultrasound guidance group (70.3%, 78.4%) and the difference was statistically significant (p < 0.05). Conclusion. Compared with conventional ultrasound, for peripheral pulmonary lesions guided by contrast‐enhanced ultrasonography, especially when the maximum diameter of the lesion is ≥ 30 mm, needle biopsy has better guiding significance; for peripheral lung lesions with a maximum diameter of <30 mm, contrast‐enhanced ultrasonography is compared with conventional ultrasound guidance. The puncture success rate was not significantly different.
Research on Methods of Physical Aided Education Based on Deep Learning
Authors: Su Wei , Feng Jian
Published: May 2022

In order to better meet the training needs of sports and improve the standardization of sports training, an openpose-based sports posture estimation method and assisted training system are proposed, combining the basic structure and principle of openpose network. Firstly, the human posture estimation algorithm is constructed by combining with the openpose network; secondly, the overall framework, specific operation process, image acquisition, posture estimation, and other modules of the sports assistance system are designed in detail; finally, the openpose posture estimation method constructed above is validated. The results show that the value of the loss function obtained by the algorithm gradually stabilizes after 250 iterations. By using the COCO dataset as the training base and comparing it with the standard posture, it is found that the algorithm can correctly identify different badminton action postures, and the recognition rate can reach up to 94%. This shows that the algorithm is feasible and can be used for posture estimation and training of badminton sports movements.
Optimization and Application of Image Defogging Algorithm Based on Deep Learning Network
Authors: Liao Jianfeng
Published: May 2022

In the foggy environment, the images collected outdoors are prone to problems, such as low contrast and loss of details. In order to solve this problem, this paper proposes an algorithm based on multiscale parallel-depth separable convolutional neural network (MSP-DSCNN) to remove fog from foggy images and improve image quality. The multiscale feature extraction module extracts texture feature details from fog images at different scales and extracts high-dimensional and low-dimensional features from fog images by using parallel depth and shallow channels. In order to further optimize the network model, a split convolution method is proposed, which can split the feature graph into two categories, one is the main feature and the other is the secondary feature. The key information is extracted from the main features with high complexity, and the compensation information is extracted from the minor features with low complexity. Experiments show that compared with other algorithms, the model constructed in this paper has obvious advantages in defogging effect, natural color of restored images, good detail retention, and dominant indicators. It effectively solves the problems of incomplete haze, color offset, and poor visibility of detail maintenance in the current image.
Update on the Development of Toehold Switch-Based Approach for Molecular Diagnostic Tests of COVID-19
Authors: Geraldi Almando , Puspaningsih Ni Nyoman Tri , Khairunnisa Fatiha
Published: May 2022

A high volume of diagnostic tests is needed during the coronavirus disease 2019 (COVID-19) pandemic to obtain representative results. These results can help to design and implement effective policies to prevent the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Diagnosis using current gold standard methods, i.e., real-time quantitative PCR (RT-qPCR), is challenging, especially in areas with limited trained personnel and health-related infrastructure. The toehold switch-based diagnostic system is a promising alternative method for detecting SARS-CoV-2 that has advantages such as inexpensive cost per testing, rapid, and highly sensitive and specific analysis. Moreover, the system can be applied to paper-based platforms, simplifying the distribution and utilization in low-resource settings. This review provides insight into the development of toehold switch-based diagnostic devices as the most recent methods for detecting SARS-CoV-2.
Metabolism-Related Bioinformatics Analysis Reveals That HPRT1 Facilitates the Progression of Oral Squamous Cell Carcinoma In Vitro
Authors: Ye Hengyu , Zheng Zenan , Song Yuxing , Huang Guangzhao , Wu Qingqing , Ai Yilong , Lv Xiaozhi
Published: May 2022

Objectives. Many studies have shown that dysregulation of metabolism contributes to oncogenesis. However, the exact roles of metabolism-related genes (MRGs) in oral squamous cell carcinoma (OSCC) remain unclear. Thus, we aimed to identify a prognostic signature related to MRGs in OSCC. Methods. The gene sequencing data of OSCC samples and the MRG set were downloaded from The Cancer Genome Atlas (TCGA) and the Molecular Signatures Database (MSigDB). The Wilcoxon rank-sum test was used to identify differentially expressed MRGs. Then, a prognostic signature was established by multivariate Cox regression analysis. Finally, prognosis-related MRGs were selected and further validated in OSCC tissues and cell lines. Results. A prognostic signature that included 8 MRGs was constructed. Multiple survival analysis revealed that only HPRT1 might be an independent biomarker and indicator of poor overall survival in OSCC patients. The expression of HPRT1 was then found to be upregulated in OSCC tissues and cell lines, and suppression of HPRT1 gene expression by siRNA inhibited the proliferation, migration, and invasion of OSCC cells in vitro. Conclusions. MRGs play an important role in the development of OSCC. Furthermore, HPRT1 might be an independent biomarker of OSCC and enhance OSCC proliferation, migration, and invasion in vitro; these results emphasize the potential utility of HPRT1 in OSCC therapy.
Performance of Universal Adhesives in Composite Resin Repair
Authors: Yin Hyemin , Kwon Sumin , Chung Shin Hye , Kim Ryan Jin Young
Published: May 2022

Aim. The objective of this in vitro study was to evaluate the bond strength of universal adhesive systems in self‐etch and etch‐and‐rinse modes at the repair interface between aged and new composite resins. Materials and Methods. Composite resin (Filtek Z250) was thermocycled to represent aged composite resin to be repaired. New composite resin was placed over the aged substrate after surface conditioning: NC (negative control, no surface treatment), A (adhesive only), SBM (Scotchbond Multi‐Purpose in etch‐and‐rinse mode), CSE (Clearfil SE Bond in self‐etch mode), SBU (Single Bond Universal), ABU (All Bond Universal), and TBU (Tetric N‐Bond Universal). Universal adhesives (SBU, ABU, and TBU) were applied both in etch‐and‐rinse and self‐etch modes. 1 mm × 1 mm × 8 mm beams were sectioned, and microtensile bond strength was measured after 24 hours of water storage and 10,000 thermocycling processes (n = 20/group). The fracture surfaces were observed with a scanning electron microscope to evaluate the failure pattern. Results. The repair bond strength between the old and new composite resins was material‐dependent. Universal adhesives significantly improved the repair bond strength (p < 0.05), while no significant difference was observed between the etch modes (self‐etch or etch‐and‐rinse) for each universal adhesive (p > 0.05). Thermocycling significantly reduced the bond strength in all groups (p < 0.05). Conclusion. Universal adhesives in both etch‐and‐rinse and self‐etch modes outperformed the conventional 3‐step etch‐and‐rinse and 2‐step self‐etch adhesive systems in terms of resin repair bond strength.