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Morphology engineering of ZnO micro/nanostructures under mild conditions for optoelectronic application

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 498-503页

作者： Liang Chu Haoyu Shen Hudie Wei Hongyu Chen Guoqiang Ma Wensheng Yan Institute of Carbon Neutrality and New Energy&school of Electronics and information Hangzhou Dianzi UniversityHangzhou 310018China school of Applied Physics and Materials Wuyi UniversityJiangmen 529020China

Zinc oxide(ZnO)serves as a crucial functional semiconductor with a wide direct bandgap of approximately 3.37 *** reaction is commonly used in the synthesis of ZnO micro/nanostructures,given its low cost,simplicity,and easy ***,ZnO morphology engineering has become desirable through the alteration of minor conditions in the reaction process,particularly at room *** this work,ZnO micro/nanostructures were synthesized in a solution by varying the amounts of the ammonia added at low temperatures(including room temperature).The formation of Zn^(2+)complexes by ammonia in the precursor regulated the reaction rate of the morphology engineering of ZnO,which resulted in various structures,such as nanoparticles,nanosheets,microflowers,and single ***,the obtained ZnO was used in the optoelectronic application of ultraviolet detectors.

关键词： morphology engineering low temperature ZnO nanosheets microflowers ultraviolet detector

Therapeutic potential of stem cells in subarachnoid hemorrhage

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Neural Regeneration Research 2025年第4期20卷 936-945页

作者： Hideki Kanamaru Hidenori Suzuki Department of Neurosurgery Mie University Graduate School of MedicineTsuJapan

Aneurysm rupture can result in subarachnoid hemorrhage,a condition with potentially severe consequences,such as disability and *** the acute stage,early brain injury manifests as intracranial pressure elevation,global cerebral ischemia,acute hydrocephalus,and direct blood–brain contact due to aneurysm *** may subsequently cause delayed cerebral infarction,often with cerebral vasospasm,significantly affecting patient *** complications such as brain volume loss and chronic hydrocephalus can further impact *** the mechanisms of subarachnoid hemorrhage-induced brain injury is paramount for identifying effective *** cell therapy,with its multipotent differentiation capacity and anti-inflammatory effects,has emerged as a promising approach for treating previously deemed incurable *** review focuses on the potential application of stem cells in subarachnoid hemorrhage pathology and explores their role in neurogenesis and as a therapeutic intervention in preclinical and clinical subarachnoid hemorrhage studies.

关键词： delayed cerebral ischemia early brain injury matricellular protein neurogenesis stem cell therapy subarachnoid hemorrhage

Comparing role of ATP between acute pain in neuromyelitis optica spectrum disorder and peripheral neuropathic pain

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Neural Regeneration Research 2025年第1期20卷 184-185页

作者： Teruyuki Ishikura Tatsusada Okuno Department of Molecular Neuroscience Graduate School of MedicineOsaka UniversityOsakaJapan Department of Neurology Osaka University Graduate School of MedicineOsaka UniversityOsakaJapan

In this article, we present our previous research, which highlighted adenosine triphosphate(ATP) as the cause of neuropathic pain during the acute phase of neuromyelitis optica spectrum disorder(NMOSD). In NMOSD pathology, damageassociated molecular patterns(DAMPs), including ATP, are released from damaged astrocytes, triggering the activation of innate immune cells. ATP is a central mediator of acute pain in NMOSD.

关键词： pain acute pathology

In vivo direct neuronal conversion as a therapeutic strategy for ischemic stroke

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Neural Regeneration Research 2025年第8期20卷 2309-2310页

作者： Takashi Irie Taito Matsuda Department of Stem Cell Biology and Medicine Graduate School of Medical SciencesKyushu UniversityFukuokaJapan Department of Neurology Neurological InstituteGraduate School of Medical SciencesKyushu UniversityFukuokaJapan

Stroke causes neuronal loss,which ultimately results in persistent neurological ***,stroke was the third-leading cause of death and disability combined in all ages in 2019,after neonatal disorders and ischemic heart *** that year,there were 12.2 million incident strokes,101 million prevalent strokes,and 143 million disability-adjusted life-years due to stroke.

关键词： neonatal death therapeutic

Multi-Scale Dilated Convolution Network for SPECT-MPI Cardiovascular Disease Classification with Adaptive Denoising and Attenuation Correction

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 299-327页

作者： A.Robert Singh Suganya Athisayamani Gyanendra Prasad Joshi Bhanu Shrestha Department of Computational Intelligence SRM Institute of Science and TechnologyKattankulathur603203Tamil NaduIndia school of Computing Sastra Deemed to be UniversityThanjavur613401Tamil NaduIndia Department of Artificial Intelligence&Software Kangwon National UniversitySamcheok25913Republic of Korea Department of information Convergence System Graduate School of Smart ConvergenceKwangwoon UniversitySeoul01897Republic of Korea

Myocardial perfusion imaging(MPI),which uses single-photon emission computed tomography(SPECT),is a well-known estimating tool for medical diagnosis,employing the classification of images to show situations in coronary artery disease(CAD).The automatic classification of SPECT images for different techniques has achieved near-optimal accuracy when using convolutional neural networks(CNNs).This paper uses a SPECT classification framework with three steps:1)Image denoising,2)Attenuation correction,and 3)Image *** denoising is done by a U-Net architecture that ensures effective image *** correction is implemented by a convolution neural network model that can remove the attenuation that affects the feature extraction process of ***,a novel multi-scale diluted convolution(MSDC)network is *** merges the features extracted in different scales and makes the model learn the features more *** scales of filters with size 3×3 are used to extract *** three steps are compared with state-of-the-art *** proposed denoising architecture ensures a high-quality image with the highest peak signal-to-noise ratio(PSNR)value of *** proposed classification method is compared with the five different CNN models,and the proposed method ensures better classification with an accuracy of 96%,precision of 87%,sensitivity of 87%,specificity of 89%,and F1-score of 87%.To demonstrate the importance of preprocessing,the classification model was analyzed without denoising and attenuation correction.

关键词： SPECT-MPI CAD MSDC denoising attenuation correction classification

Roles of N-cadherin in cerebral cortical development:cooperation with membrane trafficking and actin cytoskeletal regulation

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Neural Regeneration Research 2025年第1期20卷 188-190页

作者： Shiho Ito Takeshi Kawauchi Department of Adaptive and Maladaptive Responses in Health and Disease Graduate School of MedicineKyoto UniversityKyotoJapan Department of Physiology Keio University School of MedicineTokyoJapan

Cell adhesion plays pivotal roles in the morphogenesis of multicellular *** cells form several types of cell-to-cell adhesion,including zonula occludens(tight junctions),zonula adhaerens(adherens junctions),and macula adhaerens(desmosomes).Although these adhesion complexes are basically observed only in epithelial cells,cadherins,which are the major cell adhesion molecules of adherens junctions,are expressed in both epithelial and non-epithelial tissues,including neural tissues(Kawauchi,2012).The cadherin superfamily consists of more than 100 members,but classic cadherins.

关键词： cerebral skeletal cooperation

Enhanced solid-electrolyte interface efficiency for practically viable hydrogen-air fuel cell systems

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Journal of Energy Chemistry 2025年第1期100卷 356-368页

作者： Venkitesan Sakthivel Dong Jin Yoo graduate school Department of Energy Storage/Conversion Engineering (BK21 FOUR) Hydrogen and Fuel Cell Research Center Jeonbuk National University Jeonju Department of Life Science Jeonbuk National University

Proton exchange membrane fuel cells （PEMFCs） provide an appealing sustainable energy system,with the solid-electrolyte membrane playing a crucial role in its overall ***,sulfonated poly（1,4-phenylene ether-ether sulfone）(SPEES),an aromatic hydrocarbon polymer,has garnered considerable attention as an alternative to Nafion ***,the long-term durability and stability of SPEES present a significant *** this context,we introduce a potential solution in the form of an additive,specifically a core–shell-based amine-functionalized iron titanate （A–Fe2TiO5）,which holds promise for improving the lifetime,proton conductivity,and power density of SPEES in *** modified SPEES/A–Fe2TiO5composite membranes exhibited notable characteristics,including high water uptake,enhanced thermomechanical stability,and oxidative ***,the SPEES membrane loaded with 1.2 wt%of A–Fe2TiO5demonstrates a maximum proton conductivity of 155 mS cm-1,a twofold increase compared to the SPEES membrane,at 80°C under 100%relative humidity （RH）.Furthermore,the 1.2 wt%of A–Fe2TiO5/SPEES composite membranes exhibited a maximum power density of 397.37 mW cm-2and a current density of 1148 mA cm-2at 60°C under 100%RH,with an opencircuit voltage decay of 0.05 m V/h during 103 h of continuous *** study offers significant insights into the development and understanding of innovative SPEES nanocomposite membranes for PEMFC applications.

关键词： Acid-base Hybrid membrane Proton conductivity Polymer electrolyte fuel cell Single-cell performance

Top-k Outlier Detection from Uncertain Data

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International Journal of Automation and computing 2014年第2期11卷 128-142页

作者： Salman Ahmed Shaikh Hiroyuki Kitagawa graduate school of systems and information Engineering University of Tsukuba

Uncertain data are common due to the increasing usage of sensors, radio frequency identification(RFID), GPS and similar devices for data collection. The causes of uncertainty include limitations of measurements, inclusion of noise, inconsistent supply voltage and delay or loss of data in transfer. In order to manage, query or mine such data, data uncertainty needs to be considered. Hence,this paper studies the problem of top-k distance-based outlier detection from uncertain data objects. In this work, an uncertain object is modelled by a probability density function of a Gaussian distribution. The naive approach of distance-based outlier detection makes use of nested loop. This approach is very costly due to the expensive distance function between two uncertain objects. Therefore,a populated-cells list(PC-list) approach of outlier detection is proposed. Using the PC-list, the proposed top-k outlier detection algorithm needs to consider only a fraction of dataset objects and hence quickly identifies candidate objects for top-k outliers. Two approximate top-k outlier detection algorithms are presented to further increase the efficiency of the top-k outlier detection *** extensive empirical study on synthetic and real datasets is also presented to prove the accuracy, efficiency and scalability of the proposed algorithms.

关键词： Top-k distance-based outlier detection uncertain data Gaussian uncertainty cell-based approach PC-list based approach

Disruption of neuronal actin barrier promotes the entry of disease-implicated proteins to exacerbate amyotrophic lateral sclerosis pathology

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Neural Regeneration Research 2025年第9期20卷 2589-2590页

作者： Mikio Shimizu Tatsusada Okuno Department of Neurology Osaka University Graduate School of MedicineSuitaJapan Department of Neurology Osaka General Medical CenterOsakaJapan

Amyotrophic lateral sclerosis(ALS)is a devastating neurological disease characterized by the accumulation of aberrant proteins in motor neurons of the brain and spinal *** with ALS develop skeletal muscle weakness,resulting in death from respiratory paralysis,which usually occurs 2-4 years after clinical onset(Goutman et al.,2022).

关键词： paralysis sclerosis