Phase-Based Optical Flow Method with Optimized Parameter Settings for Enhancing Displacement Measurement Adaptability

To enhance the applicability and measurement accuracy of phase-based optical flow method using complex steerable pyramids in structural displacement measurement engineering applications, an improved method of optimizing parameter settings is proposed. The optimized parameters include the best measurement points of the Region of Interest (ROI) and the levels of pyramid filters. Additionally, to address the issue of updating reference frames in practical applications due to the difficulty in estimating the maximum effective measurement value, a mechanism for dynamically updating reference frames is introduced. Experimental results demonstrate that compared to representative image gradient-based displacement measurement methods, the proposed method exhibits higher measurement accuracy in engineering applications. This provides reliable data support for structural damage identification research based on vibration signals and is expected to broaden the engineering application prospects for structural health monitoring.

Research progress of artificial psychology and artificial emotion in China

Since the concept of artificial psychology and artificial emotion was first presented, it has become a topic of interest in academic circles and enterprises. In this article, we first briefly introduce the basic concepts and principles of artificial psychology and artificial emotion, analyzing the unified macro-model of the cross-disciplinary system architecture against the need-motivation-behavior framework. Second, we discuss the origin of artificial psychology and artificial emotion, its course of development, and its present situation in China. We also present a review of the published papers and research endeavors of Chinese universities and research institutions and the technical engineering applications of artificial psychology and artificial emotion. Finally, we summarize the challenges to the further development of artificial psychology and artificial emotion and our recommendations for improving the cognitive computing model of psychological states and developing reliable and accurate humanoid interaction and cooperation technology, robot platforms with emotions and humanoid interaction and cooperation capabilities, and humanoid robots for the elderly and the disabled in smart homes. We believe that, with intensive research, artificial psychology and artificial emotion may be developed further and may eventually reach maturity.

Empathizing with Emotional Robot Based on Cognition Reappraisal

This paper proposes a continuous cognitive emotional regulation model for robot in the case of external emotional stimulus from interactive person's expressions. It integrates a guiding cognitive reappraisal strategy into the HMM(Hidden Markov Model) emotional interactive model for empathizing between robot and person. The emotion is considered as a source in the 3D space(Arousal, Valence, and Stance). State transition and emotion intensity can be quantitatively analyzed in the continuous space. This cognition-emotion interactive model have been verified by the expression and behavior robot. Empathizing is the main distinguishing feature of our work, and it is realized by the emotional regulation which operated in a continuous 3D emotional space enabling a wide range of intermediate emotions. The experiment results provide evidence with acceptability, accuracy, richness, fluency, interestingness, friendliness and exaggeration that the robot with cognition and emotional control ability could be better accepted in the human-robot interaction(HRI).

Mechanical Response and Energy Dissipation Analysis of Heat-Treated Granite Under Repeated Impact Loading

The mechanical behaviors and energy dissipation characteristics of heat-treated granite were investigated under repeated impact loading.The granite samples were firstly heat-treated at the temperature of 20℃,200℃,400℃,and 600℃,respectively.The thermal damage characteristics of these samples were then observed and measured before impact tests.Dynamic impact compression tests finally were carried out using a modified split-Hopkinson pressure bar under three impact velocities of 12 m/s,15 m/s,and 18 m/s.These test results show that the mineral composition and the main oxides of the granite do not change with these treatment temperatures.The number of microcracks and microvoids decreases in the sample after 200℃ treatment.The mechanical properties of a sample after 600℃ treatment were rapidly deteriorated under the same impact velocity.The average of peak stress is much smaller than those after 20℃,200℃ and 400℃ treatments.The heat-treated samples have an energy threshold each.When the dissipated energy of a sample under a single impact is less than this threshold,the repeated impacts hardly lead to further damage accumulation even if its total breakage energy dissipation(BED)density is large.Under the same number of repeated impacts,the cumulative BED density of a sample after 600℃ treatment is the largest and its damage evolves most quickly.The total BED density of the sample after 200℃ treatment is the highest,which implies that this sample has better resistance to repeated impact,thus having less crack initiation and growth.

Progress in designing effective photoelectrodes for solar water splitting

Photoelectrochemical(PEC)water splitting process is regarded as a promising route to generate hydrogen by solar energy and at the heart of PEC is efficient electrode design.Great progress has been achieved in the aspects of material design,cocatalyst study,and electrode fabrication over the past decades.However,some key challenges remain unsolved,including the most demanded conversion efficiency issue.As three critical steps,i.e.light harvesting,charge transfer and surface reaction of the PEC process,occur in a huge range of time scale(from10-12s to100s),how to manage these subsequent steps to facilitate the seamless cooperation between each step to realize efficient PEC process is essentially important.This review focuses on an integral consideration of the three key criteria based on the recent progress on high efficient and stable photoelectrode design in PEC.The basic principles and potential strategies are summarized.Moreover,the challenge and perspective are also discussed.

Photoelectrocatalytic hydrogen peroxide production based on transition‐metal‐oxide semiconductors

As a kind of valuable chemicals,hydrogen peroxide(H2O2)has aroused growing attention in many fields.However,H2O2 production via traditional anthraquinone process suffers from challenges of large energy consumption and heavy carbon footprint.Alternatively,photoelectrocatalytic(PEC)production of H2O2 has shown great promises to make H2O2 a renewable fuel to store solar energy.Transition‐metal‐oxide(TMO)semiconductor based photoelectrocatalysts are among the most promising candidates for PEC H2O2 production.In this work,the fundamentals of H2O2 synthesis through PEC process are briefly introduced,followed by the state‐of‐the‐art of TMO semiconductor based photoelectrocatalysts for PEC production H2O2.Then,the progress on H2O2 fuel cells from on‐site PEC production is presented.Furthermore,the challenges and future perspectives of PEC H2O2 production are discussed.This review aims to provide inspiration for the PEC production of H2O2 as a renewable solar fuel.

Bismuth based photoelectrodes for solar water splitting

Photoelectrochemical water splitting is a sustainable path to generate valuable hydrogen using sunlight and water as the only inputs.Despite significant efforts to date,it is still a challenge to achieve photoelectrode with superior performance and long-term stability.Many bismuth-based semiconductor materials have demonstrated excellent visible light harvesting capability and suitable band edge for water splitting.Herein,we summarized the latest studies conducted on bismuth-based photoelectrodes for photoelectrochemical water splitting.Specifically,photoelectrochemical properties of copper bismuth oxide(CuBi_(2)O_(4)),bismuth ferrites(BiFeO_(3),Bi_(2)Fe_(4)O_(9)),bismuth vanadate(BiVO_(4)),bismuth tungstate(Bi_(2)WO_(6)),bismuth molybdate(Bi_(2)MoO_(6))and bismuth oxyhalids(BiOX,X=I,Cl,Br)are presented.Strategies to achieve high stability and photolectrochemical performance were discussed in the aspects of nanostructure formation,heterostructure assembly,practical defect engineering,preferential facet growth and oxygen evolution catalyst incorporation.

Preface: machine-learning approaches for computational mechanics

Machine-learning(ML) approaches have gained significant attention in recent years for their potential to revolutionize various scientific research fields,including computational mechanics,materials science,and biomedical engineering.In the field of computational mechanics,various neural network models such as feedforward neural networks,convolutional neural networks.

Review of micro-expression spotting and recognition in video sequences

Facial micro-expressions are short and imperceptible expressions that involuntarily reveal the true emotions that a person may be attempting to suppress,hide,disguise,or conceal.Such expressions can reflect a person's real emotions and have a wide range of application in public safety and clinical diagnosis.The analysis of facial micro-expressions in video sequences through computer vision is still relatively recent.In this research,a comprehensive review on the topic of spotting and recognition used in micro expression analysis databases and methods,is conducted,and advanced technologies in this area are summarized.In addition,we discuss challenges that remain unresolved alongside future work to be completed in the field of micro-expression analysis.

Comparative profiling of immune genes improves the prognoses of lower grade gliomas

Objective:Lower grade gliomas(LGGs),classified as World Health Organization(WHO)grade II and grade III gliomas,comprise a heterogeneous group with a median survival time ranging from 4–13 years.Accurate prediction of the survival times of LGGs remains a major challenge in clinical practice.Methods:We reviewed the expression data of 865 LGG patients from 5 transcriptomics cohorts.The comparative profile of immune genes was analyzed for signature identification and validation.In-house RNAseq and microarray data from the Chinese Glioma Genome Atlas(CGGA)dataset were used as training and internal validation cohorts,respectively.The samples from The Cancer Genome Atlas(TCGA)and GSE16011 cohorts were used as external validation cohorts,and the real-time PCR of frozen LGG tissue samples(n=36)were used for clinical validation.Results:A total of 2,214 immune genes were subjected to pairwise comparison to generate 2,449,791 immune-related gene pairs(IGPs).A total of 402 IGPs were identified with prognostic values for LGGs.The HOXA9-related and CRH-related scores facilitated identification of patients with different prognoses.An immune signature based on 10 IGPs was constructed to stratify patients into low and high risk groups,exhibiting different clinical outcomes.A nomogram,combining immune signature,1p/19q status,and tumor grade,was able to predict the overall survival(OS)with c-indices of 0.85,0.80,0.80,0.79,and 0.75 in the training,internal validation,external validation,and tissue sample cohorts,respectively.Conclusions:This study was the first to report a comparative profiling of immune genes in large LGG cohorts.A promising individualized immune signature was developed to estimate the survival time for LGG patients.

Service Composition Instantiation Based on Cross-Modified Artificial Bee Colony Algorithm

Internet of things(IoT) imposes new challenges on service composition as it is difficult to manage a quick instantiation of a complex services from a growing number of dynamic candidate services. A cross-modified Artificial Bee Colony Algorithm(CMABC) is proposed to achieve the optimal solution services in an acceptable time and high accuracy. Firstly, web service instantiation model was established. What is more, to overcome the problem of discrete and chaotic solution space, the global optimal solution was used to accelerate convergence rate by imitating the cross operation of Genetic algorithm(GA). The simulation experiment result shows that CMABC exhibited faster convergence speed and better convergence accuracy than some other intelligent optimization algorithms.

MAEB: Routing Protocol for IoT Healthcare

Healthcare is one of the most promising applications of Internet of Things. This paper describes a prototype for the IoT healthcare systems. We propose the Movement-Aided Energy-Balance (MAEB) routing protocol. The movement and energy information of the neighbor Coordinators are collected and stored in the neighbor discovery procedure. The MAEB forwarding is used to select the most suitable neighbor to forward the data. The simulation results show that the proposed protocol has better performance than the other three routing protocols.

Cognitive-affective regulation process for micro-expressions based on Gaussian cloud distribution

In this paper, we explore the process of emotional state transition. And the process is impacted by emotional state of interaction objects. First of all, the cognitive reasoning process and the micro-expressions recognition is the basis of affective computing adjustment process. Secondly, the threshold function and attenuation function are proposed to quantify the emotional changes. In the actual environment, the emotional state of the robot and external stimulus are also quantified as the transferring probability. Finally, the Gaussian cloud distribution is introduced to the Gross model to calculate the emotional transitional probabilities. The experimental results show that the model in human-computer interaction can effectively regulate the emotional states, and can significantly improve the humanoid and intelligent ability of the robot. This model is consistent with experimental and emulational significance of the psychology, and allows the robot to get rid of the mechanical emotional transfer process.

Evolution mechanism and quantitative characterization of initial micro-cracks in marble under triaxial compression

The initial micro-cracks affect the evolution characteristics of macroscopic deformation and failure of rock but are often ignored in theoretical calculation,numerical simulation,and mechanical experiments.In this study,we propose a quantitative analysis model to investigate the effects of initial micro-cracks on the evolution of marble deformation and failure.The relationship between the micro-crack propagation and the marble failure characteristics was comprehensively studied by combining theoretical analysis with a micro-computed tomography(micro-CT)scanning technique.We found that with the increase of confining pressure,the matrix elastic modulus of the marble first increased and then tended to be stable,while the micro-cracks increased exponentially.The sensitivity ranges of the marble sample matrix elastic modulus and micro-cracks to confining pressure were 0–30 MPa and 30–50 MPa,respectively.The porosity and Poisson’s ratio decreased exponentially.The increasing proportion of internal micro-cracks led to an increase in the sample non-uniformity.The samples presented mainly shear failure under triaxial compression,and the failure angle decreased linearly with the increase of confining pressure.The convergence direction of cracks decreased gradually.This quantitative analysis model could accurately portray the relationship between the overall macroscopic deformation and the deviatoric stress of the samples at the compaction and the linear elastic stages,thus deepening the understanding of the stress–strain behavior of rocks.

Organic ligand nanoarchitectonics for BiVO_(4) photoanodes surface passivation and cocatalyst grafting

Bismuth vanadate(BiVO_(4))is a promising photoanode material for efficient photoelectrochemical(PEC)water splitting,whereas its performance is inhibited by detrimental surface states.To solve the problem,herein,a low-cost organic molecule 1,3,5-benzenetricarboxylic acid(BTC)is selected for surface passivation of BiVO_(4) photoanodes(BVOs),which also provides bonding sites for Co^(2+)to anchor,resulting in a Co-BTC-BVO photoanode.Owing to its strong coordination with metal ions,BTC not only passivates surface states of BVO,but also provides bonding between BVO and catalytic active sites(Co^(2+))to form a molecular cocatalyst.Computational study and interfacial charge kinetic investigation reveal that chemical bonding formed at the interface greatly suppresses charge recombination and accelerates charge transfer.The obtained Co-BTC-BVO photoanode exhibits a photocurrent density of 4.82 mA/cm^(2) at 1.23 V vs.reversible hydrogen electrode(RHE)and a low onset potential of 0.22 VRHE under AM 1.5 G illumination,which ranks among the best photoanodes coupled with Co-based cocatalysts.This work presents a novel selection of passivation layers and emphasizes the significance of interfacial chemical bonding for the construction of efficient photoanodes.

The clinical,radiological,and surgical characteristics of anterior perforated substance glioma:a retrospective study

Background To explore the clinical,radiological,and surgical characteristics of anterior perforated substance(APS)gliomas.Methods Twenty patients with APS glioma who were treated with surgery between March 2019 and January 2022 from Tiantan hospital were retrospectively reviewed.The clinical,histological and radiological data were collected.Results Twenty patients,including 7 males(55%)and 13 females(45%),with a mean age at diagnosis of 37.9 years(range,28-53 years)underwent operative intervention for APS.Headaches and dizziness were the most common preoperative symptoms in the majority patients(14,70%).Based on radiological features of MRI,the APS was classified into two subtypes,type A and type B.Seven patients(40%)in type A indicated a clear tumor margin,while 13 patients(60%)in type B showed an ill-defined margin.The surgical approach including frontal,temporal,and coronal frontal incisions for type A and type B tumors,respectively.Three patients in type A received total resection,while one patient in type B were total resected.Pathologically,12 cases(60%,12/20)were diagnosed as astrocytoma and 8 cases(20%,8/20)were oligodendroglioma.Meanwhile,17 cases(85%,17/20)had MGMT promotor methylation.Conclusion In this study,we performed the first systematic research of patients with APS glioma.Most of patients with APS presented headaches and dizziness symptoms.The APS glioma was further divided into two major radiological subtypes with relevant different surgical approaches.The APS glioma in type A were more likely to receive total resection.

北京近郊深土层动物群落结构特征

为了解城市近郊深层土壤中动物群落结构组成,2012年在北京市北四环和北五环之间的中国科学院奥运村科技园区埋设陷阱收集器,对地下30 cm和55 cm土层活动的动物进行采样。2013–2017年8次调查共捕获动物3门10纲20目10,163头,优势类群分别是膜翅目(61.0%)、蜱螨目(12.1%)和弹尾目(11.2%)。30 cm土层动物类群数和个体数均高于55 cm,30 cm土层优势类群为膜翅目(69.4%),55 cm土层优势类群除膜翅目(45.7%)外还有蜱螨目(21.8%)和弹尾目(16.4%)。夏秋季动物个体数和类群数高于冬春季,环节动物门仅出现于冬春季,而缨翅目、啮虫目和革翅目仅出现于夏秋季。不同绿化带类型间动物群落Jaccard相似性指数均高于0.75,Shannon-Wiener多样性指数、Simpson优势度指数和Pielou均匀度指数均不存在显著性差异(P>0.05)。结果表明:深层土壤中存在着大量的动物类群,动物个体数和类群数均随土层加深而减少。不同季节人工绿地土壤中动物结构存在差异,而不同植被类型下动物群落组成高度相似。

Impact of land use/land cover changes on ecosystem services in the Nenjiang River Basin, Northeast China

Introduction:The Nenjiang River Basin is an important foodstuff base and eco-environmental fragile area in Northeast China.With the rapid rise in human population,human-induced changes in land use/land cover form an important component of regional environment and ecosystem service change.At the local and regional level,the ecosystem service concept can act as a decision support tool for a stakeholder to reach sustainable land use management.However,the prevailing ecosystem service evaluation would produce a biggish warp when it is applied to concrete area.So,it is essential to evaluate ecosystem service change according to the local actuality.Method:According to 1:250,000 land use/land cover maps of China and the adjusted equivalent value per unit area of ecosystem services in the Nenjiang River Basin,we evaluated the ecosystem service change of the river basin from 1980 to 2005.Results:The forest and wetland,which are mainly located in the upstream mountainous area of the Nenjiang River Basin,were the two valuable land cover types,accounting for more than three quarters of the total ecosystem service value of the river basin.As for individual ecosystem service,besides the food production,all of the ecosystem service values declined from 1980 to 2005.The total decline of 2.43 billion USD was mainly due to the cultivation of grassland(14.34%of the area in 1980)and wetland(4.62%of the area in 1980)in the downstream plain.Conclusions:Due to the increase in population and the concomitant requirement of grain,the inconsistency between decision-making at the macro-level,and the objective of agricultural production at the micro-level,cultivated land was increased through zealous reclamation of grassland,marginal woodland,and even fallow land.Tremendous land use/land cover changes had caused great damages to the ecological environment such as land degradation and ecosystem service recession.So,the policies of the Grain for Green and Construction of Ecological Province projects should be well-implemented to optimize land use/land cover.

Photoelectrode for water splitting: Materials,fabrication and characterization

Photoelectorchemical（PEC） water splitting is an attractive approach for producing sustainable and environment-friendly hydrogen. An efficient PEC process is rooted in appropriate semiconductor materials, which should possess small bandgap to ensure wide light harvest, facile charge separation to allow the generated photocharges migrating to the reactive sites and highly catalytic capability to fully utilize the separated photocharges. Proper electrode fabrication method is of equal importance for promoting charge transfer and accelerating surface reactions in the electrodes. Moreover,powerful characterization method can shed light on the complex PEC process and provide deep understanding of the rate-determining step for us to improve the PEC systems further. Targeting on high solar conversion efficiency, here we provide a review on the development of PEC water splitting in the aspect of materials exploring, fabrication method and characterization. It is expected to provide some fundamental insight of PEC and inspire the design of more effective PEC systems.