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General framework for the mechanical response of metallic glasses during strain-rate-dependent uniaxial compression

Physical Review Materials 2023年第10期7卷 105604-105604页

作者： Weiwei Jin Amit Datye Udo D. Schwarz Mark D. Shattuck Corey S. O'Hern Department of Mechanical Engineering and Materials Science Yale University New Haven Connecticut 06520 USA Department of Chemical and Environmental Engineering Yale University New Haven Connecticut 06520 USA Benjamin Levich Institute and Physics Department The City College of New York New York New York 10031 USA Department of Physics Yale University New Haven Connecticut 06520 USA Department of Applied Physics Yale University New Haven Connecticut 06520 USA Graduate Program in Computational Biology and Bioinformatics Yale University New Haven Connecticut 06520 USA

Experimental data on compressive strength σmax versus strain rate ɛ̇eng for metallic glasses undergoing uniaxial compression show varying strain rate sensitivity. For some metallic glasses, σmax decreases with increasing ɛ̇eng, while for others, σmax increases with increasing ɛ̇eng, and for certain alloys σmax versus ɛ̇eng is nonmonotonic. To understand their strain rate sensitivity, we conduct molecular dynamics simulations of metallic glasses undergoing uniaxial compression at finite strain rates and coupled to heat baths with a range of temperatures T0 and damping parameters b. In the T0→0 and b→0 limits, we find that the compressive strength σmax versus temperature T obeys a “chevron-shaped” scaling relation. In the low-strain-rate regime, σmax decreases linearly with increasing T, whereas σmax grows as a power law with decreasing T in the high-strain-rate regime. For T0>0, σmax(T) deviates from the scaling curve at low strain rates, but σmax(T) rejoins the scaling curve as the strain rate increases. Enhanced dissipation reduces compression-induced heating, which causes σmax(T) to deviate from the b→0 scaling behavior for intermediate strain rates, but σmax(T) converges to the high-strain-rate power-law scaling behavior at sufficiently high strain rates. Determining σmax(T) as a function of b and T0 provides a general framework for explaining the strain rate sensitivity of metallic glasses under compression.

关键词： Compressive strength Mechanical deformation Amorphous materials Metallic glasses Molecular dynamics

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Preliminary techno-economic assessment and uncertainty analysis of scaled-up integrated process for bioactive extracts production from Senna alata (L.) leaves

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South African Journal of chemical engineering 2022年 42卷 72-90页

作者： Adeyi, Oladayo Okolo, Bernard I. Oke, Emmanuel O. Adeyi, Abiola J. Otolorin, John A. Olalere, Olusegun A. Taiwo, Abiola E. Okhale, Samuel Gbadamosi, Babatunde Onu, Precious N. Aremu, Oluwole Samuel Qwebani-Ogunleye, Tozama Department of Chemical Engineering Michael Okpara University of Agriculture PMB 7267 Umudike Abia Nigeria Department of Mechanical Engineering Ladoke Akintola University of Technology PMB 4000 Ogbomoso Oyo Nigeria Forest Research Institute of Nigeria PMB 5054 Jericho Ibadan Oyo Nigeria Analytical Biochemistry Research Centre (ABrC) Universiti Sains Malaysia (USM) Gelugor Penang 11800 Malaysia Department of Chemical Engineering Landmark University P.M.B 1001 Omu-Aran Kwara Nigeria Department of Medicinal Plant Research and Traditional Medicine National Institute for Pharmaceutical Research and Development Abuja Nigeria Department of Mathematics and Statistics First Technical University P.M.B 5015 Ibadan Oyo Nigeria Institute of Traditional Knowledge and Traditional Medicine Faculty of Applied and Computer Sciences Vaal University of Technology Southern Guateng Science and Technology Park Sebokeng South Africa

This work reported the effects of heat-assisted extraction (HAE) temperature (35–55 °C), solid: liquid (1:20–1:50 g/mL) and time (100–200 min) on the total phenolic content (TPC, GAE/g), bioactive extracts yield (EYs, %) and antioxidant activity (AA, AAE/g) of Senna alata leaves (SALs) using the Box-Behnken experimental design. Multi-objective HAE process optimization was also carried out. The large scale (1000 L extractor capacity) HAE integrated process was thereafter designed using the global optimum data and techno-economically analyzed. Profitability sensitivity and uncertainty analyzes were conducted on the large scale integrated process to determine the associated risk. The extraction temperature, solid: liquid and time had significant effects on TPC, EYs and AA. The extraction conditions at 54.97 °C, 41.59 g/mL and 100 min gave an optimum TPC, EYs and AA of 84.3897 mg GAE/g, 21.3607% and 6.61696 µM AAE/g, respectively. The phenolic profiling showed that SALs extracts were rich in betulinic, gallic, chlorogenic, caffeic and ferulic acids. The large scale integrated plant possessed net present value (NPV), internal rate of return (IIR), return on investment (ROI) and payback time (PBT) of 193.511 US$, 7.11%, 13.97%, and 7.16 y, respectively. The certainty of obtaining base case NPV and ROI were 55.88 and 60.96%. Out of technical and cost variables selected for sensitivity analysis, extracts recovery contributed the most (26.6 and 27.9% in NPV and ROI, respectively) while the extraction temperature and SALs purchase cost did not contribute significantly to the variance in NPV and ROI. © 2022

关键词： Heat-assisted extraction technology Integrated process design Monte Carlo simulation Senna alata leaves Techno-economic analysis

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3D imaging lipidometry in single cell by in-flow holographic tomography

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Opto-Electronic Advances 2023年第1期6卷 10-25页

作者： Daniele Pirone Daniele Sirico Lisa Miccio Vittorio Bianco Martina Mugnano Danila del Giudice Gianandrea Pasquinelli Sabrina Valente Silvia Lemma Luisa Iommarini Ivana Kurelac Pasquale Memmolo Pietro Ferraro CNR-ISASI Institute of Applied Sciences and Intelligent Systems“E.Caianiello”Via Campi Flegrei 34PozzuoliNapoli 80078Italy Department of Electrical Engineering and Information Technologies University of Naples“FedericoⅡ”via Claudio 21Napoli 80125Italy Department of Chemical Materials and Production Engineering of the University of Naples FedericoⅡPiazzale Tecchio 80Napoli 80125Italy Department of Mathematics and Physics University of Campania“Luigi Vanvitelli”Caserta 81100Italy Biotechnology and Methods in Laboratory Medicine Department of ExperimentalDiagnostic and Specialty Medicine(DIMES)University of BolognaBologna 40126Italy Subcellular Nephro-Vascular Diagnostic Program Pathology Unit S.Orsola IRCCSUniversity of BolognaBologna 40126Italy Unit of Medical Genetics Department of Medical and Surgical Sciences(DIMEC)University of BolognaVia Massarenti 9Bologna 40138Italy Study and Research Center on Gynecological Neoplasias Department of Medical and Surgical Sciences(DIMEC)University of BolognaVia Massarenti 9Bologna 40138Italy Center for Applied Biomedical Research(CRBA) University of BolognaBologna 40138Italy Department of Pharmacy and Biotechnology(FABIT) University of BolognaBologna 40126Italy

The most recent discoveries in the biochemical field are highlighting the increasingly important role of lipid droplets(LDs)in several regulatory mechanisms in living *** are dynamic organelles and therefore their complete characterization in terms of number,size,spatial positioning and relative distribution in the cell volume can shed light on the roles played by *** now,fluorescence microscopy and transmission electron microscopy are assessed as the gold standard methods for identifying LDs due to their high sensitivity and ***,such methods generally only provide 2D assays and partial ***,both can be destructive and with low productivity,thus limiting analysis of large cell numbers in a *** we demonstrate for the first time the capability of 3D visualization and the full LD characterization in high-throughput with a tomographic phase-contrast flow-cytometer,by using ovarian cancer cells and monocyte cell lines as models.A strategy for retrieving significant parameters on spatial correlations and LD 3D positioning inside each cell volume is *** information gathered by this new method could allow more in depth understanding and lead to new discoveries on how LDs are correlated to cellular functions.

关键词： lipid droplets label-free phase-contrast imaging in-flow tomography 3D imaging

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On the Parameter Combinations that Matter and on Those that do Not

arXiv

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arXiv 2021年

作者： Evangelou, Nikolaos Wichrowski, Noah J. Kevrekidis, George A. Dietrich, Felix Kooshkbaghi, Mahdi McFann, Sarah Kevrekidis, Ioannis G. Department of Chemical and Biomolecular Engineering Johns Hopkins University United States Department of Applied Mathematics and Statistics Johns Hopkins University United States Department of Mathematics and Statistics University of Massachusetts Amherst United States Department of Informatics Technical University of Munich Germany The Program in Applied and Computational Mathematics Princeton University United States Department of Chemical and Biological Engineering Princeton University United States Lewis-Sigler Institute for Integrative Genomics Princeton University United States

We present a data-driven approach to characterizing nonidentifiability of a model’s parameters and illustrate it through dynamic as well as steady kinetic models. By employing Diffusion Maps and their extensions, we discover the minimal combinations of parameters required to characterize the output behavior of a chemical system: a set of effective parameters for the model. Furthermore, we introduce and use a Conformal Autoencoder Neural Network technique, as well as a kernel-based Jointly Smooth Function technique, to disentangle the redundant parameter combinations that do not affect the output behavior from the ones that do. We discuss the interpretability of our data-driven effective parameters, and demonstrate the utility of the approach both for behavior prediction and parameter estimation. In the latter task, it becomes important to describe level sets in parameter space that are consistent with a particular output behavior. We validate our approach on a model of multisite phosphorylation, where a reduced set of effective parameters (nonlinear combinations of the physical ones) has previously been established *** Codes 37E99 (Primary), 68T07 (Secondary) Copyright © 2021, The Authors. All rights reserved.

关键词： Parameter estimation

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Fault Diagnosis of Wind Energy Conversion Systems Using Gaussian Process Regression-based Multi-Class Random Forest

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IFAC-PapersOnLine 2022年第6期55卷 127-132页

作者： Majdi Mansouri Radhia Fezai Mohamed Trabelsi Hajji Mansour Hazem Nounou Mohamed Nounou Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Department of Mathematics and Sciences Prince Sultan University Riyadh 11586 Saudi Arabia Research Laboratory of Automation Signal Processing and Image National Engineering School of Monastir 5019 Tunisia Electronic and Communications Engineering Department Kuwait College of Science and Technology P. O. Box 27235 Kuwait Higher Institute of Applied Science and Technology of Kasserine University of Kairouan PO Box 471 1200 Kasserine Tunisia Chemical Engineering Program Texas A&M University at Qatar Doha Qatar

This work proposes a new fault diagnosis approach for a wind energy conversion (WEC) system. The proposed technique merges the benefits of feature extraction based on Gaussian Process Regression (GPR) and Multi-Class Random Forest (MCRF)-based fault classification where instances are classified into one or more classes. In the developed GPR-MCRF approach, the nonlinear statistical features including the mean vector M GPR and the variance matrix C GPR are computed using the GPR model with aim of extracting the most relevant features from the WEC system. Then, these features are introduced to the RF classifier for classification and diagnosis purposes. Therefore, the application of the GPR-MCRF technique for WEC systems aims to enhance the use of the classical raw data-based MCRF and diagnosis accuracy. Three kinds of faults (wear-out, open-circuit, and short-circuit faults) are considered in this work. Different case studies are investigated in order to illustrate the effectiveness and robustness of the developed technique compared to the state-of-the-art methods. The obtained results show that the the developed GPR-MCRF technique is an effective feature extraction and fault diagnosis technique for WEC systems.

关键词： Random Forest (RF) Multi-Class Gaussian Process Regression (GPR) Fault Diagnosis Wind Energy Conversion Systems

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GPT-4's assessment of its performance in a USMLE-based case study

arXiv

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arXiv 2024年

作者： Dhakal, Uttam Singh, Aniket Kumar Devkota, Suman Sapkota, Yogesh Lamichhane, Bishal Paudyal, Suprinsa Dhakal, Chandra Department of Electrical and Computer Engineering Youngstown State University OH44555 United States Department of Computing and Information Systems Youngstown State University OH44555 United States Department of Mathematics and Statistics University of Nevada RenoNV89557 United States Department of Chemical and Biological Sciences Youngstown State University OH44555 United States The Department of Agricultural and Applied Economics University of Georgia AthensGA30602 United States

This study assess the performance of GPT-4 in healthcare applications. A simple prompting technique was used to prompt the Large Language Model (LLM) with questions taken from the United States Medical Licensing Examination (USMLE) questionnaire and it was tasked to evaluate its confidence score before posing the question and after asking the question. The questionnaire was categorized into two groups-questions with feedback (WF) and questions with no feedback(NF) post-question. The model was asked to provide absolute and relative confidence scores before and after each question. The experimental findings were analyzed using statistical tools to study the variability of confidence in WF and NF groups. Additionally, a sequential analysis was conducted to observe the performance variation for the WF and NF groups. Results indicate that feedback influences relative confidence but doesn’t consistently increase or decrease it. Understanding the performance of LLM is paramount in exploring its utility in sensitive areas like healthcare. This study contributes to the ongoing discourse on the reliability of AI, particularly of LLMs like GPT-4, within healthcare, offering insights into how feedback mechanisms might be optimized to enhance AI-assisted medical education and decision support. © 2024, CC BY.

关键词： Decision support systems

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Design of experiments as a strategy for modulating the colloidal stability, physico-chemical properties and drug-delivery potential of small mesoporous silica nanoparticles

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Advanced Powder Technology 2023年第10期34卷

作者： Lestari, Windy Ayu Saputra, Ozi Adi Díaz-García, Diana Wahyuningsih, Sayekti Gómez-Ruiz, Santiago Wibowo, Fajar Rakhman Magister Program in Chemistry Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta57126 Indonesia Department of Chemistry Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta57126 Indonesia COMET-NANO Group Departamento de Biología y Geología Física y Química Inorgánica Universidad Rey Juan Carlos Calle Tulipán s/n Madrid MóstolesE-28933 Spain Institute of Chemistry Taiwan International Graduate Program Sustainable Chemical Science and Technology Academia Sinica Taipei115 China Department of Chemical Engineering National Taiwan University Taipei10617 China

The synthesis of highly stable small mesoporous silica nanoparticles (SMSN) in colloid dispersions is still challenging for biomedical applications. This study is focus on the successfully synthesis and formulation of porous, highly dispersed and colloidal stable SMSN via the soft–templating method. This study reports how the differences in synthesis variables, namely, temperature, amount of triethylamine (TEA) and/or cetyltrimethylammonium bromide (CTAB) influence the morphology and textural properties of SMSN. The analysis of the particle size, surface area, pore size, pore volume, zeta potential, and colloidal stability (represent by absorbance decreasing rate) show that temperature is the most influential factor governing the preparation of SMSN. The optimal conditions found for the synthesis of these nanoparticles were 50 °C, using a molar ratio between TEA and CTAB (3.5971: 1). Therefore, our study shows interesting insights on the effect of each variable to control the morphology and properties of small MSN for the design of this kind of nanoparticulated systems, therefore, giving valuable data to be considered for the future construction of tailor-made effective drug carrier materials. © 2023 The Society of Powder Technology Japan

关键词： Synthesis (chemical)

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Correction to: Graphene‑Loaded Surface Plasmon Polariton (SPP) Waveguide Surrounded by Uniaxial Chiral (UAC) and Plasma Layers

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Plasmonics 2024年第4期20卷 2371-2372页

作者： Bani‑Fwaz, Mutasem Z. Bousbih, R. Khamis, Raad A. Soliman, Mohamed S. Jabir, Majid S. Majdi, Hasan Shaban, Mohamed Assem, Essam Elsayed Al‑Saeedi, Sameerah I. Hadia, N. M. A. Laiba Department of Chemistry College of Science King Khalid University Abha Saudi Arabia Department of Physics Faculty of Science University of Tabuk Tabuk Saudi Arabia College of Sciences Uruk University Baghdad Iraq Department of Electrical Engineering College of Engineering Taif University Taif Saudi Arabia Department of Applied Sciences University of Technology Baghdad Iraq Department of Chemical Engineering and Petroleum Industries Al-Mustaqbal University College Babylon Iraq Department of Physics Faculty of Science Islamic University of Madinah Madinah Saudi Arabia Department of Chemistry College of Science Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia Department of Physics College of Science Jouf University Sakaka Saudi Arabia Department of Mathematics Government College University Faisalabad Faisalabad Pakistan

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Single Component Hydrophilic Terpolymer Thin Film Systems for Imparting Surface chemical Versatility on Various Substrates

SSRN

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SSRN 2023年

作者： Kim, Myungwoong Ko, Yun Hee Nguyen, Hai Ha Tran Branstetter, Christopher R. Park, Soeun Lee, Jin-Kyun Yang, Jaesung Jung, Jangwook P. Department of Chemistry and Chemical Engineering Inha University Incheon22212 Korea Republic of Department of Applied Chemistry Reutlingen University Alteburgstraße 150 Reutlingen72762 Germany Department of Biological Engineering Louisiana State University Baton RougeLA70803 United States Program in Environment and Polymer Engineering Inha University Incheon22212 Korea Republic of Department of Polymer Science and Engineering Inha University Incheon22212 Korea Republic of Department of Chemistry Yonsei University Gangwon Wonju26493 Korea Republic of

We demonstrate hydrophilic photocrosslinkable copolymers that can attain single component functional organic coatings on various substrates. The copolymers were designed with a poly(ethylene oxide)-containing monomer, a monomer that can release a primary amine upon UV light illumination, and a monomer with reactive epoxide or cyclic dithiocarbonate with a primary amine. The resulting copolymers were easily adapted in the solution-casting process with polar solvents. Furthermore, the resulting coating was readily stabilized by crosslinking through UV light illumination, which is highly advantageous for achieving surface control of different substrates. The photocrosslinking capability further enables us to photolithographically define stable polymer domains in a desirable region. The resulting copolymer coatings were shown to be chemically versatile in immobilizing complex molecules by (i) post-crosslinking functionalization with the reactive groups on the surface and (ii) the formation of a composite coating by mixing varying amounts of a protein of interest, i.e., fish skin gelatin, which is capable of forming a dual crosslinked network. The number of functionalization sites in a thin film could be controlled by tuning the composition of the copolymers. In the photocrosslinking and subsequent functionalizations, we assessed the reactivity of the epoxide and cyclic dithiocarbonate with the generated primary amine. Moreover, the orthogonality of the possible reactions of the presented reactive functionalities in the crosslinked thin films with complex molecules was also assessed. The resulting copolymer coatings were further utilized to define a hydrophobic surface or an active surface for the adhesion of biological objects. © 2023, The Authors. All rights reserved.

关键词： Monomers

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Integration of Local Traditions Bugis-Makassarese: Learning Strategies to Improve Mathematical Communication Skills 2

Integration of Local Traditions Bugis-Makassarese: Learning ...

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2nd Annual engineering and Vocational Education Conference, AEVEC 2020

作者： Asfar, A.M.I.T. Asfar, A.M.I.A. Nurannisa, A. Department of Mathematics Education STKIP Muhammadiyah Bone Dg. Pasolong Street No. 62 Watampone Indonesia Doctoral Program in Science Education Universitas Negeri Makassar Bonto Langkasa street Makassar Indonesia Department of Chemical Engineering of State Polytechnic of Ujung Pandang Tamalanrea Makassar Indonesia

Communication skill is of local Bugis-Makasar one of skill needed in mathematical learning in order that the students can solve the problem in social life particularly economic mathematic. Integration of local tradition sipakatau, sipakainge and sipakalebbi consists of philosophy which can increase students' communication skill. The purpose of this study is to find out the improvement of students' communication skill of STKIP Muhammadiyah Bone in using learning strategy of 3S. Design of this study was experimental research Quasi Experimental Design using Nonequivalent Control Group Design. Based on the results of this study can be concluded that the earning strategy of 3S is effective in improving student's communication skill in economic mathematics in STKIP Muhammadiyah Bone not only on students' cognitive side but also affective and psychomotor side. © Published under licence by IOP Publishing Ltd.

关键词： Students

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