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RSC Pharmaceutics 2024年第5期1卷 928-948页

作者： Reem M. Senjab Nour AlSawaftah Waad H. Abuwatfa Ghaleb A. Husseini Biomedical Engineering Program College of Engineering American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates ghusseini@aus.edu Materials Science and Engineering Ph.D. Program College of Arts and Sciences American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates Department of Chemical and Biological Engineering College of Engineering American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates Biosciences and Bioengineering PhD Program College of Engineering American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates

Liposomes, spherical phospholipid vesicles with a unique morphology mimicking that of body cells, have emerged as versatile nanoparticles for drug delivery. Their biocompatibility, low cytotoxicity, targeted delivery, and hydrophobic and hydrophilic characteristics make them stand out over traditional drug delivery systems. Liposomes can be tailored in size, composition, lamellarity, and surface charge, offering a unique level of customization for various applications. Extensive research in liposome technology has led to the development of a wide range of liposomal formulations with enhanced functionalities, such as PEGylated liposomes, ligand-targeted liposomes, and stimuli-responsive liposomes. Beyond their crucial role in cancer treatment, liposomes play a significant role in influenza, COVID-19, cancer, and hepatitis A vaccines. They are also utilized in pain management, fungal treatment, brain targeting, and topical and ocular drug delivery. This review offers insight into the types of liposomes, their composition, preparation methods, characterization methods, and clinical applications. Additionally, it discusses challenges and highlights potential future directions in liposome-based drug delivery.

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An ultraefficient surface functionalized Ti3C2Tx MXene piezocatalyst: synchronous hydrogen evolution and wastewater treatment

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Journal of Materials Chemistry A 2023年第6期12卷 3340-3351页

作者： Lai, Sz-Nian Chen, Winston Yenyu Yen, Chao-Chun Liao, Yin-Song Chen, Po-Han Stanciu, Lia Wu, Jyh Ming Department of Materials Science and Engineering National Tsing Hua University 101 Section 2 Kuang Fu Road Hsinchu300 Taiwan PhD Program in Prospective Functional Materials Industry National Tsing Hua University 101 Section 2 Kuang Fu Road Hsinchu300 Taiwan High Entropy Materials Center National Tsing Hua University 101 Section 2 Kuang Fu Road Hsinchu300 Taiwan Tsing Hua Interdisciplinary Program National Tsing Hua University 101 Section 2 Kuang Fu Road Hsinchu300 Taiwan School of Materials Engineering Purdue University 610 Purdue Mall West LafayetteIN47907 United States Department of Materials Science and Engineering National Chung Hsing University 145 Xingda Road Taichung402 Taiwan

The Ti3C2Tx surface contains hydroxyl groups that can be modified through self-assembled monolayers by using (3-chloropropyl) trimethoxysilane (CPTMS) and fluoroalkylsilane (FOTS). This study demonstrates that an ultrahigh level of piezoelectricity can be achieved by modifying the Si-O bond of organo-silane headgroups in Ti3C2Tx. The theoretical calculation of surface functionalized Ti3C2Tx-FOTS reveals that its Si-O bond causes localized lattice distortion and enhances the noncentrosymmetric structure on the Ti3C2Tx surface. Ti3C2Tx-FOTS exhibits significantly higher butterfly loops than pristine Ti3C2Tx. The calculated rate constant of Ti3C2Tx-FOTS for dye degradation was 0.9 min−1, 15-fold higher than that of Ti3C2Tx-CPTMS and 111-fold higher than that of pristine Ti3C2Tx. The hydrogen evolution rate of Ti3C2Tx-FOTS is 900.46 μmo1 g−1 h−1, three times higher than that of Ti3C2Tx. The bifunctional surface functionalized Ti3C2Tx-FOTS can simultaneously catalyse the hydrogen evolution reaction (HER) and decomposition of wastewater, demonstrating that Ti3C2Tx-FOTS, obtained through the surface engineering of Ti3C2Tx, is a superior piezocatalyst. © 2024 The Royal Society of Chemistry.

关键词： Rate constants

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IMPEDIMETRIC MEASUREMENT OF 3D ANGIOGENIC PROCESS 25

IMPEDIMETRIC MEASUREMENT OF 3D ANGIOGENIC PROCESS

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25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Huang, Chun-Hao Lei, Kin Fong PhD Program in Biomedical Engineering College of Engineering Chang Gung University Taiwan Graduate Institute of Biomedical Engineering Chang Gung University Taiwan Department of Radiation Oncology Chang Gung Memorial Hospital Taiwan

ISBN: (纸本)9781733419031

In this research, a microfluidic biochip for impedance measurement was developed to explore the angiogenesis ability affected by VEGF in a 3D microenvironment. The process of angiogenesis and invasion of human umbilical vein endothelial cells (HUVEC) is studied by using microfluidic technology and bio colloids (Matrigel) to construct a 3D biological barrier. During angiogenesis affected by different concentrations of vascular endothelial growth factor (VEGF), the impedance changes and time points were recorded to analyze the angiogenesis ability. The results showed that the impedance measurement can quantify the angiogenesis ability in the microfluidic biochip in real-time. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Microfluidics

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A multimodal integrative approach to model transcriptional addiction of thyroid cancer on RUNX2

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Cancer Communications 2022年第9期42卷 892-896页

作者： Emanuele Vitale Elisabetta Sauta Mila Gugnoni Federica Torricelli Veronica Manicardi Alessia Ciarrocchi Laboratory of Translational Research Azienda Unità Sanitaria Locale-IRCCS di Reggio EmiliaReggio Emilia 42123Italy Clinical and Experimental Medicine PhD Program University of Modena and Reggio EmiliaModena 41121Italy Department of Electrical Computer and Biomedical EngineeringUniversity of PaviaPavia 27100Italy

Dear Editor Aberrant gene expression sustains massive proliferation and stress adaptation under the regulation of oncogenic transcription factors(TFs)whose binding across the genome orchestrates in space and time *** dependency defines the addiction of cancer cells to TFs on top of the regulatory hierarchy governing cancer dysregulated programs[1].These factors and their dependent mechanisms are an attractive and unexplored reservoir of potential targets for new anticancer ***,while the transcriptional landscape of many cancer-supportive TFs has been revealed,this information remains purely descriptive and confined to in vitro *** foster transferability,new approaches that integrate clinical data into the transcriptional networks are needed.

关键词： addiction modal reservoir

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A Cross-Modal Approach to Silent Speech with LLM-Enhanced Recognition

arXiv

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arXiv 2024年

作者： Benster, Tyler Wilson, Guy Elisha, Reshef Willett, Francis R. Druckmann, Shaul Neurosciences PhD Program Stanford University United States Department of Neurosurgery Stanford University United States Department of Chemical Engineering Stanford University United States Department of Neurobiology Stanford University United States

Silent Speech Interfaces (SSIs) offer a noninvasive alternative to brain-computer interfaces for soundless verbal communication. We introduce Multimodal Orofacial Neural Audio (MONA), a system that leverages cross-modal alignment through novel loss functions—cross-contrast (crossCon) and supervised temporal contrast (supTcon)—to train a multimodal model with a shared latent representation. This architecture enables the use of audio-only datasets like LibriSpeech to improve silent speech recognition. Additionally, our introduction of Large Language Model (LLM) Integrated Scoring Adjustment (LISA) significantly improves recognition accuracy. Together, MONA LISA reduces the state-of-the-art word error rate (WER) from 28.8% to 12.2% in the Gaddy (2020) benchmark dataset for silent speech on an open vocabulary. For vocal EMG recordings, our method improves the state-of-the-art from 23.3% to 3.7% WER. In the Brain-to-Text 2024 competition, LISA performs best, improving the top WER from 9.8% to 8.9%. To the best of our knowledge, this work represents the first instance where noninvasive silent speech recognition on an open vocabulary has cleared the threshold of 15% WER, demonstrating that SSIs can be a viable alternative to automatic speech recognition (ASR). Our work not only narrows the performance gap between silent and vocalized speech but also opens new possibilities in human-computer interaction, demonstrating the potential of cross-modal approaches in noisy and data-limited regimes. © 2024, CC BY.

关键词： Speech recognition

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A GPU-Based Parallel Implementation of the GWO Algorithm: Application to the Solution of Large-Scale Nonlinear Equation Systems

A GPU-Based Parallel Implementation of the GWO Algorithm: Ap...

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International Symposium on Computing and Networking Workshops (CANDARW)

作者： Bruno Silva Luiz Guerreiro Lopes PhD Program in Computer Engineering University of Madeira SRE Regional Government of Madeira Funchal Madeira Is. Portugal Department of Mathematics Faculty of Exact Sciences and Engineering University of Madeira Funchal Madeira Is. Portugal

Population-based computational intelligence algorithms are natural candidates for parallelization and have been utilized to solve a variety of difficult and complex real-world problems. The gray wolf optimizer (GWO) is one of these algorithms. It is a metaheuristic that simulates the leadership hierarchy and hunting mechanism of gray wolves in the wild and has been used successfully to solve several hard optimization problems. However, the study of its applicability to the solution of nonlinear equation systems, which is arguably the most difficult class of numerical problems, is still quite incipient and needs to be better accessed and verified, particularly in the case of large-scale systems of nonlinear equations, which have not been considered until now and whose resolution difficulty increases with the number of equations they contain. This paper presents a new and efficient GPU-based massively parallel implementation of the gray wolf optimizer algorithm for solving large-scale optimization problems. The proposed parallelization of the GWO algorithm is illustrated by its application to solving large systems of nonlinear equations, a class of problems that appear and have great importance in different fields of pure and applied sciences and engineering. The GPU-accelerated version of GWO was implemented in Julia and tested on a GeForce RTX 3090 GPU with 24 GB GDDR6X VRAM and 10 496 CUDA cores using a set of hard, scalable systems of nonlinear equations with dimensions ranging from 500 to 2000. The obtained results, with average speedups between 69.91× and 241.54× , show the efficiency of the proposed GPU-based acceleration of the GWO algorithm.

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Development of 5G Cyber-Physical Production System

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International Journal of Networked and Distributed Computing 2023年第1期11卷 9-19页

作者： Huang, Hsuan-Chao Tsai, Chun-Hsien Lin, Hsiung-Cheng Department of Computer Science and Information Engineering National Chin-Yi University of Technology No. 57 Sec. 2 Zhongshan Rd Taiping Dist Taichung Taiwan PhD program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology No. 57 Sec. 2 Zhongshan Rd Taiping Dist Taichung Taiwan Department of Electronic Engineering National Chin-Yi University of Technology No. 57 Sec. 2 Zhongshan Rd Taiping Dist Taichung Taiwan

The cyber-physical production system (CPPS) was developed for the interconnection between operational technology (OT) and information and communication technology (ICT) among the machines and decentralized production control. However, OT and ICT are now getting more complex in the modern industry. To enhance industrial management and production process, the CPPS based on the 5G architecture under production environments can provide a more comprehensive solution in the context of Industry 4.0. For this purpose, a 5G CPPS model to improve the interoperability of CPPS in ICT and OT is proposed to build a virtualized Industry 4.0 asset management shell system. First, real-time task artifacts and 5G communication modules are bound in a certain form of virtualization. Second, task artifacts are released to the production line in a real-time scheduling. Third, an order is placed on a production line and split into multiple tasks for production process. Single-machine single-workpiece and multi-machine and multi-workpiece processing cases are used for testing in the production line. Experimental results show that the proposed 5G CPPS can efficiently achieve multi-machine work piece processing. © 2022, The Author(s).

关键词： 5G Cyber-physical production system (CPPS) Digital twin (DT) Industry 4.0 Information technology Operational technology

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Systematic designs of single metal compounds synthesized using ammonia fluoride-based complex as structure directing agents for energy storage

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Journal of Colloid and Interface Science 2023年第PartA期652卷 294-304页

作者： Kuo, Tsung-Rong Zher Yu, You Wu, Chung-Hsien Lee, Pin-Yan Kongvarhodom, Chutima Chen, Hung-Ming Husain, Sadang Yougbaré, Sibidou Lin, Lu-Yin International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok10140 Thailand Gingen technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin70124 Indonesia /Nanoro 03 B.P 7192 Ouagadougou 03 Burkina Faso

Tailoring morphology and composition of metal organic frameworks (MOF) can improve energy storage by establishing high surface area, large porosity and multiple redox states. Structure directing agents (SDA) is functional of designing surface properties of electroactive materials. Ammonium fluoride has functional abilities for designing MOF derivatives with excellent energy storage abilities. Systematic design of MOF derivatives using ammonia fluoride-based complex as SDA can essentially create efficient electroactive materials. Metal species can also play significant roles on redox reactions, which are the main energy storage mechanism for battery-type electrodes. In this work, 2-methylimidazole, two novel SDAs of NH4BF4 and NH4HF2, and six metal species of Al, Mn, Co, Ni, Cu and Zn are coupled to synthesize MOF derivatives for energy storage. Metal species-dependent compositions including hydroxides, oxides, and hydroxide nitrates are observed. The nickel-based derivative (Ni-HBF) shows the highest specific capacitance (CF) of 698.0F/g at 20 mV/s, due to multiple redox states and advanced flower-like surface properties. The diffusion and capacitive-control contributions of MOF derivatives are also analyzed. The battery supercapacitor hybrid with Ni-HBF electrode shows a maximum energy density of 27.9 Wh/kg at 325 W/kg. The CF retention of 170.9% and Coulombic efficiency of 93.2% are achieved after 10,000 cycles. © 2023 Elsevier Inc.

关键词： Supercapacitor

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Passivation of Perovskite Films Using Ionic Liquids

Passivation of Perovskite Films Using Ionic Liquids

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2022 Advances in Science and engineering Technology International Conferences, ASET 2022

作者： Alashkar, Adnan Ibrahim, Taleb Khamis, Mustafa Hai Alami, Abdul American University of Sharjah Materials Science and Engineering PhD Program Sharjah United Arab Emirates American University of Sharjah Department of Chemical Engineering Sharjah United Arab Emirates American University of Sharjah Department of Biology Chemistry and Enviromental Sciences Sharjah United Arab Emirates University of Sharjah Department of Sustainable and Renewable Energy Engineering Sharjah United Arab Emirates

ISBN: (纸本)9781665418010

In this paper, the carrier recombination, and dynamics of Perovskite Solar Cells (PSC) are investigated. Ionic Liquids (IL) are presented in the bulk perovskite in an attempt to improve the dynamics of the charge transport layer. Time Resolved Photoluminescence (TRPL) is utilized to study the fast electronic decay of the perovskite samples and the influence of the IL on the stability of the perovskite film. The ILs are added to the perovskite in three ratios (5%, 10%, and 20%). The results showed that the presence of the ILs increases the electron lifetime inside the perovskite layer. In addition, 10% IL/perovskite displayed the highest increase of 72% in the lifetime. Where, for higher ratios, the lifetime started deteriorating. © 2022 IEEE.

关键词： Ionic liquids

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Towards cross-modal causal structure and representation learning 2

Towards cross-modal causal structure and representation lear...

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2nd Machine Learning for Health Symposium, ML4H 2022

作者： Mao, Haiyi Liu, Hongfu Xiaotian Dou, Jason Benos, Panayiotis V. Joint CMU-Pitt PhD Program in Computational Biology University of Pittsburgh United States Michtom School of Computer Science Brandeis University United States Department of Electrical and Computer Engineering University of Pittsburgh United States Department of Epidemiology University of Florida United States

Does the SARS-CoV-2 virus cause patients' chest X-Rays ground-glass opacities? Does an IDH-mutation cause differences in patients' MRI images? Conventional causal discovery algorithms, although well developed to uncover the cause-effect relationships on structured data, cannot elucidate causal relations between unstructured images and structured scalar variables due to the complexity of the former. In this paper, we consider causal discovery between images and structured (scalar) variables. Specifically, we derive low dimensional image representations to analyze with structured variables. We propose a two-module amortized variational algorithm named Cross-Modal Variational Causal representation and structure Learning (CMCL). CMCL jointly learns identifiable representations given a set of independent structured variables and causal relations via formulating latent representations and structured variables into a direct acyclic graph. Moreover, we further enforce counterfactual invariance/variance onto representations. We demonstrate that CMCL outperforms other related methods on synthetic datasets and validate causal relations on semi-synthetic datasets by visualization. © 2022 P.N. Argaw, E. Healey & I.S. Kohane.

关键词： Coronavirus

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