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Lecture Notes in Electrical engineering 2024年 1118卷 ix-x页

作者： Yadav, Sanjay Arya, Yogendra Muhamad, Nor Asiah Sebaa, Karim Physico-Mechanical Metrology Division CSIR-National Physical Laboratory Delhi New Delhi India J.C. Bose University of Science and Technology YMCA Haryana Faridabad India Electrical and Electronic Engineering Department Universiti Teknologi Brunei Bandar Seri Begawan Brunei University of Medea Médéa Algeria

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Impact of ethanol addition on the autoignition characteristics of a certification gasoline

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Combustion and Flame 2025年 278卷

作者： Khalid Aljohani Ahmed Abd El-Sabor Mohamed Haitao Lu Henry J. Curran Jihad Badra Aamir Farooq Department of Mechanical Engineering College of Engineering in Al-Kharj Prince Sattam Bin Abdulaziz University Al-Kharj 11942 Saudi Arabia Combustion Chemistry Centre School of Biological and Chemical Sciences Ryan Institute MaREI University of Galway Galway Ireland Research and Development Center Technology Oversight and Coordination Saudi Aramco Dhahran Saudi Arabia Clean Energy Research Platform Physical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia

As the world grapples with climate change, decarbonizing the transportation sector remains an immense challenge. Ethanol-containing gasolines offer a promising pathway that aligns with global initiatives to transition towards low-carbon transportation fuels. This study investigates ignition delay times (IDTs) of a research-grade oxygenated gasoline (Euro 6 E10) containing a substantial proportion (20–40 %, by vol.) of ethanol. Experiments were conducted across three domains: (a) a cooperative fuel research (CFR) engine, (b) two high-pressure shock tubes (HPSTs), and (c) two rapid compression machines (RCMs). IDTs were investigated over a broad range of temperatures (655–1470 K), pressures (20 and 40 bar), and equivalence ratios ( φ = 0.5, 1, 1.5). The CFR engine results indicated that blending ethanol with Euro 6 E10 gasoline led to a synergistic increase in octane ratings across the two ethanol-blended gasoline mixtures. IDTs results showed a pronounced reactivity-inhibiting effect of ethanol at temperatures below ≈ 830 K across the entire range of conditions investigated. In contrast, intermediate- and high-temperature ignition delays of gasoline-ethanol blends exhibited close similarities regardless of the blend octane numbers, compositions, or ethanol content. A reactivity-promoting effect of ethanol was observed solely in fuel-rich scenarios ( φ = 1.5) and at temperatures greater than ≈ 950 K. A recently published gasoline model by the authors was updated with the latest kinetic knowledge to evaluate the effects of ethanol blending and was subsequently used to validate the measured IDTs. The revised model demonstrated reasonable accuracy with both the 4-component and 8-multicomponent ethanol-containing surrogates developed in this study, with the 4-component surrogate demonstrating better performance. Finally, sensitivity analyses were performed to identify key reactions contributing to the reactivity perturbative effects of ethanol blending on Euro 6 reactivit

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Correction: Analysis of thermally stratified micropolar Carreau–Yasuda hybrid nanofluid flow with Cattaneo–Christov heat and mass flux

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Journal of Thermal Analysis and Calorimetry 2024年第10期149卷 5085-5085页

作者： Algehyne, Ebrahem A. Haq, Izharul Rehman, Sadique Raizah, Zehba Saeed, Anwar Galal, Ahmed M. Department of Mathematics Faculty of Science University of Tabuk Tabuk Saudi Arabia Nanotechnology Research Unit (NRU) University of Tabuk Tabuk Saudi Arabia College of Sciences and Human Studies (CSHS) Prince Mohammad Bin Fahd University Al Khobar Dammam Saudi Arabia Division of Mathematical and Physical Sciences Kanazawa University Kakuma Kanazawa Japan Department of Mathematics College of Science King Khalid University Abha Saudi Arabia Center of Excellence in Theoretical and Computational Science (TaCS-CoE) Science Laboratory Building Faculty of Science King Mongkut’s University of Technology Thonburi (KMUTT) Thung Khru Bangkok Thailand Department of Mechanical Engineering College of Engineering in Wadi Alddawasir Prince Sattam Bin Abdulaziz University Wadi Alddawasir Saudi Arabia Production Engineering and Mechanical Design Department Faculty of Engineering Mansoura University Mansoura Egypt

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Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples

arXiv

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arXiv 2023年

作者： Song, Andrew H. Williams, Mane Williamson, Drew F.K. Jaume, Guillaume Zhang, Andrew Chen, Bowen Serafin, Robert Liu, Jonathan T.C. Baras, Alex Parwani, Anil V. Mahmood, Faisal Department of Pathology Brigham and Women’s Hospital Harvard Medical School BostonMA United States Department of Pathology Massachusetts General Hospital Harvard Medical School BostonMA United States Cancer Program Broad Institute of Harvard and MIT CambridgeMA United States Data Science Program Dana-Farber Cancer Institute BostonMA United States Department of Biomedical Informatics Harvard Medical School BostonMA United States Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology CambridgeMA United States Department of Mechanical Engineering Bioengineering Laboratory Medicine & Pathology University of Washington SeattleWA United States Department of Pathology Johns Hopkins Hospital BaltimoreMD United States Department of Biomedical Engineering Johns Hopkins Hospital BaltimoreMD United States Department of Pathology The Ohio State University ColumbusOH United States

Human tissue consists of complex structures that display a diversity of morphologies, forming a tissue microenvironment that is, by nature, three-dimensional (3D). However, the current standard-of-care involves slicing 3D tissue specimens into two-dimensional (2D) sections and selecting a few for microscopic evaluation1,2, with concomitant risks of sampling bias and misdiagnosis3–6. To this end, there have been intense efforts to capture 3D tissue morphology and transition to 3D pathology, with the development of multiple high-resolution 3D imaging modalities7–18. However, these tools have had little translation to clinical practice as manual evaluation of such large data by pathologists is impractical and there is a lack of computational platforms that can efficiently process the 3D images and provide patient-level clinical insights. Here we present Modality-Agnostic Multiple instance learning for volumetric Block Analysis (MAMBA), a deep-learning-based platform for processing 3D tissue images from diverse imaging modalities and predicting patient outcomes. Archived prostate cancer specimens were imaged with open-top light-sheet microscopy12–14 or microcomputed tomography15,16 and the resulting 3D datasets were used to train risk-stratification networks based on 5-year biochemical recurrence outcomes via MAMBA. With the 3D block-based approach, MAMBA achieves an area under the receiver operating characteristic curve (AUC) of 0.86 and 0.74, superior to 2D traditional single-slice-based prognostication (AUC of 0.79 and 0.57), suggesting superior prognostication with 3D morphological features. Further analyses reveal that the incorporation of greater tissue volume improves prognostic performance and mitigates risk prediction variability from sampling bias, suggesting that there is value in capturing larger extents of spatially heterogeneous 3D morphology. With the rapid growth and adoption of 3D spatial biology and pathology techniques by researchers and clinicians, M

关键词： Pathology

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Tailoring dielectric properties and crystallinity in poly(vinylidene fluoride-co-hexafluoropropylene) nanocomposites via iron (III) chloride hexahydrate incorporation

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Scientific Reports 2025年第1期15卷 1-19页

作者： Yuennan, Jureeporn Muensit, Nantakan Tohluebaji, Nikruesong Chailad, Wichain Yang, Liu Sukhawipat, Nathapong Ashraf, Ghulam Abbas Channuie, Phongpichit Surface Technology Research Unit (STRU) Faculty of Science and Technology Nakhon Si Thammarat Rajabhat University Nakhon Si Thammarat 80280 Thailand Division of Physical Science (Physics) Faculty of Science Prince of Songkla University Songkhla 90112 Thailand Faculty of Science and Technology Princess of Naradhiwas University Narathiwat 96000 Thailand Department of Materials and Metallurgical Engineering Faculty of Engineering Rajamangala University of Technology Thanyaburi Pathum Thani 12110 Thailand Department of Mechanical and Aerospace Engineering University of Strathclyde Glasgow United Kingdom Department of Mechanical Engineering Technology College of Industrial Technology King Mongkut’s University of Technology North Bangkok Bangkok 10800 Thailand Materials Research Center at Khazar University Baku 1096 Azerbaijan Shanghai MKS Material Technology Co. Ltd Shanghai Anting Jiading 200240 China School of Science Walailak University Thasala Nakhon Si Thammarat 80160 Thailand

This study investigates the impact of iron (III) chloride hexahydrate (FeCl3·6H2O) incorporation on the structural, thermal, and dielectric properties of poly(vinylidene fluoride-co-hexafluoropropylene) [P(VDF-HFP)] nanocomposites, which were prepared using a solution casting method with varying filler concentrations (1–4 wt%). Scanning electron microscopy revealed a systematic increase in porosity—from 0.72% in pure P(VDF-HFP) to 27.5% at 4 wt% FeCl3·6H2O—along with increased pore size and surface heterogeneity. Atomic force microscopy confirmed enhanced surface roughness correlating with increased filler content. Fourier-transform infrared spectroscopy demonstrated a significant α-to-β phase transformation, indicating the formation of the polar β-phase with increasing FeCl3·6H2O content. X-ray diffraction analysis corroborated these findings, revealing a notable increase in crystallinity and β-phase content, with 4 wt% FeCl3·6H2O achieving the highest β-phase fraction (88.99%). Thermogravimetric analysis confirmed thermal stability up to approximately 500 °C, with a gradual shift in degradation onset attributed to FeCl3·6H2O interactions. Dielectric measurements at 10 Hz showed a remarkable enhancement in dielectric constant—from 5.62 in pure P(VDF-HFP) to 19.16 at 4 wt% FeCl3·6H2O—while maintaining a low dielectric loss (< 0.30). These improvements are attributed to the synergistic effects of FeCl3·6H2O on porosity, phase transformation, crystallinity, thermal stability, and dielectric properties. The superior performance of these nanocomposites makes them promising candidates for flexible electronics, energy storage systems, and advanced sensors. © The Author(s) 2025.

关键词： Dielectric properties FeCl3·6H2O doping Hydrogen bonding interactions P(VDF-HFP) composites Thermal stability

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Broadband Channel Estimation for Intelligent Reflecting Surface Aided mmWave Massive MIMO Systems

Broadband Channel Estimation for Intelligent Reflecting Surf...

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IEEE International Conference on Communications (ICC)

作者： Ziwei Wan Zhen Gao Mohamed-Slim Alouini School of Information and Electronics Beijing Institute of Technology Beijing P. R. China Electrical Engineering Program Division of Physical Sciences and Engineering King Abdullah University of Science and Technology (KAUST) Thuwal Makkah Province Saudi Arabia

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

This paper investigates the broadband channel estimation (CE) for intelligent reflecting surface (IRS)-aided millimeter-wave (mmWave) massive MIMO systems. The CE for such systems is a challenging task due to the large dimension of both the active massive MIMO at the base station (BS) and passive IRS. To address this problem, this paper proposes a compressive sensing (CS)-based CE solution for IRS-aided mmWave massive MIMO systems, whereby the angular channel sparsity of large-scale array at mmWave is exploited for improved CE with reduced pilot overhead. Specifically, we first propose a downlink pilot transmission framework. By designing the pilot signals based on the prior knowledge that the line-of-sight dominated BS-to-IRS channel is known, the high-dimensional channels for BS-to-user and IRS-to-user can be jointly estimated based on CS theory. Moreover, to efficiently estimate broadband channels, a distributed orthogonal matching pursuit algorithm is exploited, where the common sparsity shared by the channels at different subcarriers is utilized. Additionally, the redundant dictionary to combat the power leakage is also designed for the enhanced CE performance. Simulation results demonstrate the effectiveness of the proposed scheme.

关键词： Channel estimation MIMO communication OFDM Broadband communication Radio frequency Downlink Compressed sensing

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Chemical exchange saturation transfer MRI-trackable peptide hydrogel for drug release monitoring and targeted therapy in inflammatory bowel disease

Cell Biomaterials

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Cell Biomaterials 2025年

作者： Fenfen Li Ronghua Zhao Weiping Ding Jinying Yang Qingqing Wen Weiqiang Dou Lin Chen Jia Zhang Bensheng Qiu Jeff W.M. Bulte Yue Yuan Medical Imaging Center Department of Electronic Engineering and Information Science University of Science and Technology of China Hefei China Key Laboratory of Precision and Intelligent Chemistry University of Science and Technology of China Hefei China GE Healthcare MR Research China Beijing China Department of Electronic Science Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance School of Electronic Science and Engineering Xiamen University Xiamen China Institute of Intelligent Machines Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China Russell H. Morgan Department of Radiology and Radiological Science Division of MR Research and Cellular Imaging Section and Vascular Biology Program Institute for Cell Engineering The Johns Hopkins University School of Medicine Baltimore MD USA

Hydrogel formulations hold promise for efficient drug delivery in inflammatory bowel disease (IBD) treatment. Non-invasive in vivo spatiotemporal profiling of drug release is highly warranted but clinically difficult due to the need of additional labeling. We have developed an inflammation-targeting olsalazine-conjugated peptide hydrogel (Olsa-Hydrogel) that serves as an exchange saturation transfer magnetic resonance imaging (CEST MRI) activatable prodrug system. Upon conversion of the prodrug Olsa to mesalazine (Mesa), a strong MesaCEST signal could be observed at 8.5 ppm offset from water using a 3.0 T clinical scanner. Rectal administration of Olsa-Hydrogel to inflamed colonic mucosa in a mouse model of IBD led to activation of the MesaCEST signal upon enzymatic release of Mesa, enabling real-time visualization of the drug release process. This was accompanied by a significant improvement in pathophysiological symptoms. The CEST MRI-activatable peptide hydrogel offers a promising strategy for developing targeted drug delivery systems in disease-specific theranostics.

关键词： Inflammatory bowel disease peptide hydrogel targeted therapy CEST MRI drug release monitoring self-assembly enzyme-responsive drug delivery

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Frontispiece: Simultaneously Strengthening and Toughening All-Natural Structural Materials via 3D Nanofiber Network Interfacial Design

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Angewandte Chemie International Edition 2024年第48期63卷

作者： Dr. Huai-Bin Yang Xiang Zhao Quan Wang Yu-Hong Ruan Zhao-Xiang Liu Xin Yue Dr. Yin Bo Zhu Prof. Heng An Wu Dr. Qing-Fang Guan Prof. Shu-Hong Yu Department of Chemistry New Cornerstone Science Laboratory Institute of Biomimetic Materials & Chemistry Anhui Engineering Laboratory of Biomimetic Materials Division of Nanomaterials & Chemistry Hefei National Research Center for Physical Sciences at the Microscale. University of Science and Technology of China Hefei 230026 China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern Mechanics University of Science and Technology of China Hefei 230027 China Institute of Innovative Materials (I2 M) Department of Materials Science and Engineering Department of Chemistry Southern University of Science and Technology. Shenzhen 518055 China

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Frontispiz: Simultaneously Strengthening and Toughening All-Natural Structural Materials via 3D Nanofiber Network Interfacial Design

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Angewandte Chemie 2024年第48期136卷

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Signatures of Multiband Effects in High-Harmonic Generation in Monolayer MoS2

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physical Review Letters 2022年第14期129卷 147401-147401页

作者： Lun Yue Richard Hollinger Can B. Uzundal Bailey Nebgen Ziyang Gan Emad Najafidehaghani Antony George Christian Spielmann Daniil Kartashov Andrey Turchanin Diana Y. Qiu Mette B. Gaarde Michael Zuerch Department of Physics and Astronomy Louisiana State University Baton Rouge Louisiana 70803 USA Department of Chemistry University of California Berkeley California 94720 USA Lawrence Berkeley National Laboratory Materials Sciences Division Berkeley California 94720 USA Institute of Physical Chemistry Friedrich Schiller University Jena 07743 Jena Germany Institute of Optics and Quantum Electronics Friedrich Schiller University Jena 07743 Jena Germany Abbe Center of Photonics Friedrich Schiller University Jena 07745 Jena Germany Helmholtz Institute Jena 07743 Jena Germany Department of Mechanical Engineering and Materials Science Yale University New Haven Connecticut 06520 USA

High-harmonic generation (HHG) in solids has been touted as a way to probe ultrafast dynamics and crystal symmetries in condensed matter systems. Here, we investigate the polarization properties of high-order harmonics generated in monolayer MoS2, as a function of crystal orientation relative to the mid-infrared laser field polarization. At several different laser wavelengths we experimentally observe a prominent angular shift of the parallel-polarized odd harmonics for energies above approximately 3.5 eV, and our calculations indicate that this shift originates in subtle differences in the recombination dipole strengths involving multiple conduction bands. This observation is material specific and is in addition to the angular dependence imposed by the dynamical symmetry properties of the crystal interacting with the laser field, and may pave the way for probing the vectorial character of multiband recombination dipoles.

关键词： High-order harmonic generation Multiphoton or tunneling ionization & excitation Nonlinear optics Strong electromagnetic field effects Strong-field-induced spectra Ultrafast phenomena 2-dimensional systems Semiconductors Nonperturbative methods Semiclassical methods

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