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Chemical reaction in a liquid–liquid phase‐separated multiple droplet:Synchronization of color change dynamics with droplet movement

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Droplet 2024年第1期3卷 103-112页

作者： Kenta Goto Kyoka Nakanishi Fumito Tani Satoru Tokuda Department of Chemistry Graduate School of SciencesInstitute for Materials Chemistry and Engineering(IMCE)Kyushu UniversityFukuokaJapan Research Institute for Information Technology Kyushu UniversityKasugaJapan Mathematics for Advanced Materials-open Innovation Laboratory AISTc/o Advanced Institute for Materials ResearchTohoku UniversitySendaiJapan

Liquid–liquid phase separation in a biotic cell system organizes complicated biochemical reactions and functions by forming membraneless compartments that allow a substrate to move across the phase *** the other hand,liquid–liquid phase separation in an abiotic system gives rise to an emulsion and/or multiple droplets that hardly undergo chemical *** have developed a method for the formation of phase‐separated multiple droplet in a ternary mixture with a 3D‐printed microchannel and demonstrated the occurrence of the iron(III)thiocyanate ligand exchange reaction in the multiple *** reaction proceeded differently in the outer‐and the inner‐droplet phases,giving a different iron(III)complex that was identified on the basis of its color ***,the color change was dynamic,enabling visualization of the interphase mass *** the same time,the color change dynamics synchronized with the multiple‐droplet movement.

关键词： liquid phase separated

An efficient improved Gradient Boosting for strain prediction in Near-Surface Mounted fiber-reinforced polymer strengthened reinforced concrete beam

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Frontiers of Structural and Civil Engineering 2024年第8期18卷 1148-1168页

作者： Abdelwahhab KHATIR Roberto CAPOZUCCA Samir KHATIR Erica MAGAGNINI Brahim BENAISSA Thanh CUONG-LE Structural Section DICEA Polytechnic University of MarcheAncona 60131Italy Centre for Engineering Application&Technology Solutions Ho Chi Minh City Open UniversityHo Chi Minh City 70000Vietnam Design Engineering Laboratory Toyota Technological InstituteNagoya 468-8511Japan

The Near-Surface Mounted(NSM)strengthening technique has emerged as a promising alternative to traditional strengthening methods in recent *** the past two decades,researchers have extensively studied its potential,advantages,and applications,as well as related parameters,aiming at optimization of construction ***,there is still a need to explore further,both from a static perspective,which involves accounting for the nonconservation of the contact section resulting from the bond-slip effect between fiber-reinforced polymer(FRP)rods and resin and is typically neglected by existing analytical models,as well as from a dynamic standpoint,which involves studying the trends of vibration frequencies to understand the effects of various forms of damage and the efficiency of *** address this gap in knowledge,this research involves static and dynamic tests on simply supported reinforced concrete(RC)beams using rods of NSM carbon fiber reinforced polymer(CFRP)and glass fiber reinforced polymer(GFRP).The main objective is to examine the effects of various strengthening *** research conducts bending tests with loading cycles until failure,and it helps to define the behavior of beam specimens under various damage degrees,including concrete *** analysis by free vibration testing enables tracking of the effectiveness of the reinforcement at various damage levels at each stage of the loading *** addition,application of Particle Swarm Optimization(PSO)and Genetic Algorithm(GA)is proposed to optimize Gradient Boosting(GB)training performance for concrete strain prediction in NSM-FRP *** GB using Particle Swarm Optimization(GBPSO)and GB using Genetic Algorithm(GBGA)systems were trained using an experimental data set,where the input data was a static applied load and the output data was the consequent *** models of GBPSO and GBGA have been shown to provide highly accurate results for predicting *** model

关键词： NSM technique fiber-reinforced polymer rods static and dynamic analysis GB PSO GA finite element analysis

Simultaneous detection of the shuttling motion of liquid metal droplets in channels under alternating pressure and capacitive sensor signals

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Microsystems & Nanoengineering 2024年第2期10卷 83-90页

作者： Shinji Bono Ryotaro Nakai Satoshi Konishi Research Organization of Science and Technology Ritsumeikan UniversityShigaJapan Ritsumeikan Advanced Research Academy KyotoJapan Ritsumeikan Global Innovation Research Organization Ritsumeikan UniversityShigaJapan Graduate School of Science and Engineering Ritsumeikan UniversityShigaJapan

Implementing a signal-switching mechanism for the selective use of integrated sensors and actuators plays a crucial role in streamlining the functionality of miniaturized ***,a liquid metal droplet(LMD)-based signal-switching mechanism is introduced to achieve such *** modulation with a 100-μm spatial resolution enabled precise control of the position of the LMDs within a *** integrating the channel with asymmetrically structured electrodes,the effect of the shuttle-like movement of LMD on the temporal changes in the overall capacitance was ***,analysis of the capacitive peaks revealed the directional movement of the LMDs,enabling estimation of the position of the LMDs without direct *** addition,we achieved successful signal extraction from the capacitive sensor that was linked to the activated electrodes,thereby enabling selective data *** proposed signal-switching mechanism method achieved a detection accuracy of~0.1 *** sensor’s ability to simultaneously detect the LMD position and generate a signal underscores its significant potential for multiplexing in multisensing systems,particularly in concealed environments,such as in vivo settings.

关键词： liquid thereby integrating

Rebuilding insight into the pathophysiology of Alzheimer’s disease through new blood-brain barrier models

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Neural Regeneration Research 2024年第9期19卷 1954-1960页

作者： Kinya Matsuo Hideaki Nshihara Yamaguchi university Graduate School of Medicine YamaguchiJapan Department of Neurotherapeutics Yamaguchi UniversityUbeJapan

The blood-brain barrier is a unique function of the microvasculature in the brain parenchyma that maintains homeostasis in the central nervous ***-brain barrier breakdown is a common pathology in various neurological diseases,such as Alzheimer’s disease,stroke,multiple sclerosis,and Parkinson’s ***,it has been considered a consequence of neuroinflammation or neurodegeneration,but recent advanced imaging techniques and detailed studies in animal models show that blood-brain barrier breakdown occurs early in the disease process and may precede neuronal ***,the blood-brain barrier is attractive as a potential therapeutic target for neurological diseases that lack effective *** elucidate the molecular mechanism underlying blood-brain barrier breakdown and translate them into therapeutic strategies for neurological diseases,there is a growing demand for experimental models of human origin that allow for functional ***,several human induced pluripotent stem cell-derived blood-brain barrier models have been established and various in vitro blood-brain barrier models using microdevices have been *** in the Alzheimer’s disease field,the human evidence for blood-brain barrier dysfunction has been demonstrated and human induced pluripotent stem cell-derived blood-brain barrier models have suggested the putative molecular mechanisms of pathological blood-brain *** this review,we summarize recent evidence of blood-brain barrier dysfunction in Alzheimer’s disease from pathological analyses,imaging studies,animal models,and stem cell ***,we discuss the potential future directions for blood-brain barrier research.

关键词： Alzheimer’s disease blood-brain barrier human induced pluripotent stem cells

Experimental study on boundary lubricity of superficial area of articular cartilage and synovial fluid

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Friction 2024年第5期12卷 981-996页

作者： Wenxiao LI Takehiro MORITA Yoshinori SAWAE Departure of Mechanical Engineering Kyushu UniversityFukuoka8190395Japan International Institute for Carton-Neutral Energy Research Kyushu UniversityFukuoka8190395Japan Advanced Research Center for Biomechanics Kyushu UniversityFukuoka8190395Japan

The boundary lubrication mechanism at the articulating surface of natural synovial joints has been the subject of much discussion in *** this study,to elucidate the lubricating function of the superficial area of articular cartilage and synovial fluid(SF),cartilage specimens were processed with four different treatments:gentle and severe washing with detergent,incubation in NaCl solution,and trypsin digestion to selectively remove certain constituents from the cartilage ***,the frictional characteristics were examined in phosphate-buffered saline(PBS)and SF against *** reciprocating sliding tests with a spherical glass probe and square articular cartilage specimens were performed at low contact loads in the mN range to extract the frictional behavior in the superficial area of the cartilage ***,the cartilage surface was observed to confirm the effects of treatments on the morphology of the cartilage surface using a fluorescence microscope and water-immersion *** coefficient of friction(COF)of the prepared cartilage specimens was varied from 0.05 to over 0.3 in ***,a certain group of cartilage specimens exhibited a low COF of less than 0.1 with limited *** the low COF group of specimens,all four treatments increased the COF in PBS to different extents,and fluorescence microscopy revealed that the integrity of the cartilage surface was deteriorated by *** means that the intact cartilage surface had lubricating constituents to maintain low friction,and the removal of such constituents resulted in the loss of the intrinsic boundary lubricity of the cartilage *** variation in the COF of the cartilage specimens was suppressed in SF because it had a clear boundary lubrication effect on the cartilage *** lubricating effect of SF could be confirmed even after degenerative treatment.

关键词： articular cartilage synovial fluid the uppermost superficial layer boundary lubrication

An Adaptive Strategy-incorporated Integer Genetic Algorithm for Wind Farm Layout Optimization

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Journal of Bionic Engineering 2024年第3期21卷 1522-1540页

作者： Tao Zheng Haotian Li Houtian He Zhenyu Lei Shangce Gao Faculty of Engineering University of ToyamaToyama9300887Japan

Energy issues have always been one of the most significant concerns for scientists *** the ongoing over exploitation and continued outbreaks of wars,traditional energy sources face the threat of *** energy is a readily available and sustainable energy *** farm layout optimization problem,through scientifically arranging wind turbines,significantly enhances the efficiency of harnessing wind ***-heuristic algorithms have been widely employed in wind farm layout *** paper introduces an Adaptive strategy-incorporated Integer Genetic Algorithm,referred to as AIGA,for optimizing wind farm layout *** adaptive strategy dynamically adjusts the placement of wind turbines,leading to a substantial improvement in energy utilization efficiency within the wind *** this study,AIGA is tested in four different wind conditions,alongside four other classical algorithms,to assess their energy conversion efficiency within the wind *** results demonstrate a notable advantage of AIGA.

关键词： Wind farm layout optimization problem Meta-heuristic algorithms Adaptive Integer genetic algorithm

Dendritic Learning and Miss Region Detection-Based Deep Network for Multi-scale Medical Segmentation

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Journal of Bionic Engineering 2024年第4期21卷 2073-2085页

作者： Lin Zhong Zhipeng Liu Houtian He Zhenyu Lei Shangce Gao Faculty of Engineering University of ToyamaToyama9300887Japan

Automatic identification and segmentation of lesions in medical images has become a focus area for *** for medical image provides professionals with a clearer and more detailed view by accurately identifying and isolating specific tissues,organs,or lesions from complex medical images,which is crucial for early diagnosis of diseases,treatment planning,and efficacy *** paper introduces a deep network based on dendritic learning and missing region detection(DMNet),a new approach to medical image *** combines a dendritic neuron model(DNM)with an improved SegNet framework to improve segmentation accuracy,especially in challenging tasks such as breast lesion and COVID-19 CT scan *** work provides a new approach to medical image segmentation and confirms its *** have demonstrated that DMNet outperforms classic and latest methods in various performance metrics,proving its effectiveness and stability in medical image segmentation tasks.

关键词： Medical image segmentation Dendritic learning Deep supervision Dynamic focal loss

Friction as energy dissipation process associated with superlubricity of solids

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Friction 2024年第9期12卷 2083-2088页

作者： Bo ZHANG Saga university Saga-shi 840-8502Japan

The paper shows that work in a quantum system is quantized with energy;the quantum work is equivalent to the highest eigenenergy(the Debye energy)of the system and the superlubricity of solids is derived from the quantum *** prerequisite for the superlubricity is that the lateral force at contact surfaces in sliding is less than the Debye force so that the phonon of the solids is not excited.

关键词： superlubricity phonon friction Plank law Debye frequency

Controllable multi-domain semantic artwork synthesis

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Computational Visual Media 2024年第2期10卷 355-373页

作者： Yuantian Huang Satoshi Iizuka Edgar Simo-Serra Kazuhiro Fukui Department of Computer Science University of TsukubaTsukuba 305-8577Japan Department of Computer Science and Engineering Waseda UniversityTokyo 169-8050Japan

We present a novel framework for the multidomain synthesis of artworks from semantic *** of the main limitations of this challenging task is the lack of publicly available segmentation datasets for art *** address this problem,we propose a dataset called ArtSem that contains 40,000 images of artwork from four different domains,with their corresponding semantic label *** first extracted semantic maps from landscape photography and used a conditional generative adversarial network(GAN)-based approach for generating high-quality artwork from semantic maps without requiring paired training ***,we propose an artwork-synthesis model using domain-dependent variational encoders for high-quality multi-domain ***,the model was improved and complemented with a simple but effective normalization method based on jointly normalizing semantics and style,which we call spatially style-adaptive normalization(SSTAN).Compared to the previous methods,which only take semantic layout as the input,our model jointly learns style and semantic information representation,improving the generation quality of artistic *** results indicate that our model learned to separate the domains in the latent ***,we can perform fine-grained control of the synthesized artwork by identifying hyperplanes that separate the different ***,by combining the proposed dataset and approach,we generated user-controllable artworks of higher quality than that of existing approaches,as corroborated by quantitative metrics and a user study.

关键词： semantic artwork synthesis generative adversarial network(GAN) datasets non-photorealistic rendering