Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 61531 - 61560 of 302664

Full-Text Articles in Physical Sciences and Mathematics

Financial News And Cds Spreads, Paresh Kumar Narayan, Deepa Bannigidadmath Mar 2021

Financial News And Cds Spreads, Paresh Kumar Narayan, Deepa Bannigidadmath

Research outputs 2014 to 2021

© 2020 Elsevier B.V. This paper examines whether financial news moves CDS spreads for a large number of U.S. stocks sorted into 19 panels consisting of sectors, sizes and credit quality. Using a unique financial news data set, we discover that while both positive and negative news predicts CDS spread changes in most of the panels, annualised mean–variance profits and utility gains are dominated by forecasting models that use positive news as a predictor. At best, risk factors only account for around 31% of observed profits.


Fourier Decompositions Of Graphs With Symmetries And Equitable Partitions, Darren Scott Lund Mar 2021

Fourier Decompositions Of Graphs With Symmetries And Equitable Partitions, Darren Scott Lund

Theses and Dissertations

We show that equitable partitions, which are generalizations of graph symmetries, and Fourier transforms are fundamentally related. For a partition of a graph's vertices we define a Fourier similarity transform of the graph's adjacency matrix built from the matrices used to carryout discrete Fourier transformations. We show that the matrix (graph) decomposes into a number of smaller matrices (graphs) under this transformation if and only if the partition is an equitable partition. To extend this result to directed graphs we define two new types of equitable partitions, equitable receiving and equitable transmitting partitions, and show that if a partition of …


Effect Of Chromium Metal Accumulation On The Magnesium Absorption And Chlorophyll Content In Vegetables, Widya Sartika Sulistiani, Hening Widowati, Kartika Sari, Agus Sutanto Mar 2021

Effect Of Chromium Metal Accumulation On The Magnesium Absorption And Chlorophyll Content In Vegetables, Widya Sartika Sulistiani, Hening Widowati, Kartika Sari, Agus Sutanto

Makara Journal of Science

This study analyzed the effect of chromium metal accumulation on magnesium absorption and chlorophyll content in vegetables. The effect of accumulation was determined by performing controlled experimental methods on planting media supplemented with chromium and by directly observing vegetables grown in chromium-polluted areas, such as mountain, rice field, street, and industrial areas. The controlled experiments were carried out by varying the chromium contamination (1 and 3 ppm) and magnesium nutrition (0.4, 0.6, and 0.8 g/L) in planting media. The controlled experiment was compared with the results of field observation in several chromium-polluted areas. The effect of the treatment was analyzed …


Analysis Of Contextual Emotions Using Multimodal Data, Saurabh Hinduja Mar 2021

Analysis Of Contextual Emotions Using Multimodal Data, Saurabh Hinduja

USF Tampa Graduate Theses and Dissertations

Affective computing builds and evaluates systems that can recognize, interpret, and simulate human emotion. It is an interdisciplinary field, which includes computer science, psychology, and many others. For years, human emotion has been studied in psychology but recently has become a prominent field in computer science. Largely, the field of affective computing has been focused on analyzing static facial expressions to recognize human emotions, without taking bias (e.g. gender, data bias), context, or temporal information into account. Psychology has shown the difficulty of analyzing emotions without incorporating this type of information. In this dissertation, we have proposed new approaches to …


The Communicative Constitution Of Environment: Land, Weather, Climate, Leanna K. Smithberger Mar 2021

The Communicative Constitution Of Environment: Land, Weather, Climate, Leanna K. Smithberger

USF Tampa Graduate Theses and Dissertations

My project examines the communicative constitution of environment: how we mediate environment in discursive practice, and arrange chaotic and complex timeplaces into organized relationships of agents and objects which act and are acted upon. Climate scholars across disciplines are calling for a paradigm shift in how we understand, study, inhabit, and relate to Earth’s varied environments. In this dissertation, I demonstrate how communication practices do the work of constituting the environment as we know it, and therefore conclude with the hopeful suggestion that these same practices can be used to do the work of a paradigm shift — that is, …


Galaxy And Mass Assembly (Gama): The Inferred Mass–Metallicity Relation From Z = 0 To 3.5 Via Forensic Sed Fitting, Sabine Bellstedt, Aaron S G Robotham, Simon P. Driver, Jessica E. Thorne, Luke J M Davies, Benne Holwerda, Andrew M. Hopkins, Maritza A. Lara-Lopez, Ángel R. López-Sánchez, Steven Phillipps Mar 2021

Galaxy And Mass Assembly (Gama): The Inferred Mass–Metallicity Relation From Z = 0 To 3.5 Via Forensic Sed Fitting, Sabine Bellstedt, Aaron S G Robotham, Simon P. Driver, Jessica E. Thorne, Luke J M Davies, Benne Holwerda, Andrew M. Hopkins, Maritza A. Lara-Lopez, Ángel R. López-Sánchez, Steven Phillipps

Faculty and Staff Scholarship

We analyse the metallicity histories of ∼4500 galaxies from the GAMA survey at z < 0.06 modelled by the SED-fitting code PROSPECT using an evolving metallicity implementation. These metallicity histories, in combination with the associated star formation histories, allow us to analyse the inferred gas-phase mass–metallicity relation. Furthermore, we extract the mass– metallicity relation at a sequence of epochs in cosmic history, to track the evolving mass–metallicity relation with time. Through comparison with observations of gas-phase metallicity over a large range of redshifts, we show that, remarkably, our forensic SED analysis has produced an evolving mass–metallicity relationship that is consistent with observations at all epochs. We additionally analyse the three-dimensional mass–metallicity–SFR space, showing that galaxies occupy a clearly defined plane. This plane is shown to be subtly evolving, displaying an increased tilt with time caused by general enrichment, and also the slowing down of star formation with cosmic time. This evolution is most apparent at lookback times greater than 7 Gyr. The trends in metallicity recovered in this work highlight that the evolving metallicity implementation used within the SED-fitting code PROSPECT produces reasonable metallicity results over the history of a galaxy. This is expected to provide a significant improvement to the accuracy of the SED-fitting outputs.


Response Of Activated Oxygen Metabolism To Water Stress In Different Drought‐Tolerant Alfalfa (Medicago Sativa) At Seedling Stage, Ruihong Han, Hua Tian, Xinshi Lu Mar 2021

Response Of Activated Oxygen Metabolism To Water Stress In Different Drought‐Tolerant Alfalfa (Medicago Sativa) At Seedling Stage, Ruihong Han, Hua Tian, Xinshi Lu

IGC Proceedings (1993-2023)

No abstract provided.


Evaluation Of Heat Tolerance Of Alfalfa Varieties (Medicago Sativa) At Seedling Stage, Ruihong Han, Guijuan Gao, Zhenfei Guo Mar 2021

Evaluation Of Heat Tolerance Of Alfalfa Varieties (Medicago Sativa) At Seedling Stage, Ruihong Han, Guijuan Gao, Zhenfei Guo

IGC Proceedings (1993-2023)

No abstract provided.


Adventuring Into Complexity By Exploring Data: From Complicity To Sustainability, Tim Lutz Mar 2021

Adventuring Into Complexity By Exploring Data: From Complicity To Sustainability, Tim Lutz

Northeast Journal of Complex Systems (NEJCS)

Problems of sustainability are typically represented by major present-day challenges such as climate change, biodiversity loss, and environmental and social injustice. Framed this way, sustainable lives and societies depend on finding solutions to each problem. From another perspective, there is only one problem behind them all, stated by Gregory Bateson as: “…the difference between how nature works and the way people think,” and complexity provides a way to define and approach this problem. I extend Edgar Morin’s conceptions of restricted and general complexity into pedagogy to address problems of simplicity and reductionist teaching. The proposed pedagogy is based on long …


Serial Interaction Of Primitive Magmas With Felsic And Mafic Crust Recorded By Gabbroic Dikes From The Antarctic Extension Of The Karoo Large Igneous Province, Jussi S. Heinonen, Arto V. Luttinen, Frank J. Spera, Saku K. Vuori, Wendy A. Bohrson Mar 2021

Serial Interaction Of Primitive Magmas With Felsic And Mafic Crust Recorded By Gabbroic Dikes From The Antarctic Extension Of The Karoo Large Igneous Province, Jussi S. Heinonen, Arto V. Luttinen, Frank J. Spera, Saku K. Vuori, Wendy A. Bohrson

Geological Sciences Faculty Scholarship

Two subvertical gabbroic dikes with widths of ~ 350 m (East-Muren) and ≥ 500 m (West-Muren) crosscut continental flood basalts in the Antarctic extension of the ~ 180 Ma Karoo large igneous province (LIP) in Vestfjella, western Dronning Maud Land. The dikes exhibit unusual geochemical profiles; most significantly, initial (at 180 Ma) εNd values increase from the dike interiors towards the hornfelsed wallrock basalts (from − 15.3 to − 7.8 in East-Muren and more gradually from − 9.0 to − 5.5 in West-Muren). In this study, we utilize models of partial melting and energy-constrained assimilation‒fractional crystallization in deciphering the …


Socastee Interview, Participant #04, March 30, 2021, Jennifer Mokos, Jaime Mccauley Mar 2021

Socastee Interview, Participant #04, March 30, 2021, Jennifer Mokos, Jaime Mccauley

Flood Survivor Interviews

A community member of the Rosewood neighborhood in Socastee is interviewed by a CCU student.


Copper Clusters: Study Of Geometric Structure Using Computer Simulation, Nodirbek Ikromjonovich Ibrokhimov Mar 2021

Copper Clusters: Study Of Geometric Structure Using Computer Simulation, Nodirbek Ikromjonovich Ibrokhimov

Karakalpak Scientific Journal

In this work, we investigated the geometric structure of small neutral copper clusters with low energy using the MD (Molecular Dynamics) method. When calculating the processes of interatomic interaction, we used a potential EAM (Embedded-atom method). A computer model of Cun (n = 2-13) clusters has been created. The geometric shapes of the Cu2, Cu3, Cu4, Cu5, Cu6, Cu7, Cu8, Cu9, Cu10, Cu11, Cu12, and Cu13 clusters have been studied and the structural parameters (Cu-Cu bond …


Organization Of Compact Spinning Technology In Textile Clusters, Baxtiyar Aralbaevich Paluanov, Abdimalik Pirmatovich Pirmatov Mar 2021

Organization Of Compact Spinning Technology In Textile Clusters, Baxtiyar Aralbaevich Paluanov, Abdimalik Pirmatovich Pirmatov

Karakalpak Scientific Journal

The article proposes a system of continuous supply of raw cotton in continuous spinning technology and methods of maximizing the preservation of the natural properties of the fiber and obtaining high-quality yarn.


Improving Memory Forensics Through Emulation And Program Analysis, Ryan Dominick Maggio Mar 2021

Improving Memory Forensics Through Emulation And Program Analysis, Ryan Dominick Maggio

LSU Doctoral Dissertations

Memory forensics is an important tool in the hands of investigators. However, determining if a computer is infected with malicious software is time consuming, even for experts. Tasks that require manual reverse engineering of code or data structures create a significant bottleneck in the investigative workflow. Through the application of emulation software and symbolic execution, these strains have been greatly lessened, allowing for faster and more thorough investigation. Furthermore, these efforts have reduced the barrier for forensic investigation, so that reasonable conclusions can be drawn even by non-expert investigators. While previously Volatility had allowed for the detection of malicious hooks …


Ancient Plant Dna Reveals High Arctic Greening During The Last Interglacial, Sarah E. Crump, Bianca Fréchette, Matthew Power, Sam Cutler, Gregory De Wet, Martha K. Raynolds, Jonathan H. Raberg, Jason P. Briner, Elizabeth K. Thomas, Julio Sepúlveda, Beth Shapiro, Michael Bunce, Gifford H. Miller Mar 2021

Ancient Plant Dna Reveals High Arctic Greening During The Last Interglacial, Sarah E. Crump, Bianca Fréchette, Matthew Power, Sam Cutler, Gregory De Wet, Martha K. Raynolds, Jonathan H. Raberg, Jason P. Briner, Elizabeth K. Thomas, Julio Sepúlveda, Beth Shapiro, Michael Bunce, Gifford H. Miller

Geosciences: Faculty Publications

Summer warming is driving a greening trend across the Arctic, with the potential for large-scale amplification of climate change due to vegetation-related feedbacks [Pearson et al., Nat. Clim. Chang. (3), 673–677 (2013)]. Because observational records are sparse and temporally limited, past episodes of Arctic warming can help elucidate the magnitude of vegetation response to temperature change. The Last Interglacial ([LIG], 129,000 to 116,000 y ago) was the most recent episode of Arctic warming on par with predicted 21st century temperature change [Otto-Bliesner et al., Philos. Trans. A Math. Phys. Eng. Sci. (371), 20130097 (2013) and Post et al., Sci. Adv. …


Hb-Pls: A Statistical Method For Identifying Biological Process Or Pathway Regulators By Integrating Huber Loss And Berhu Penalty With Partial Least Squares Regression, Wenping Deng, Kui Zhang, Cheng He, Sanzhen Liu, Hairong Wei Mar 2021

Hb-Pls: A Statistical Method For Identifying Biological Process Or Pathway Regulators By Integrating Huber Loss And Berhu Penalty With Partial Least Squares Regression, Wenping Deng, Kui Zhang, Cheng He, Sanzhen Liu, Hairong Wei

Michigan Tech Publications

Gene expression data features high dimensionality, multicollinearity, and non-Gaussian distribution noise, posing hurdles for identification of true regulatory genes controlling a biological process or pathway. In this study, we integrated the Huber loss function and the Berhu penalty (HB) into partial least squares (PLS) framework to deal with the high dimension and multicollinearity property of gene expression data, and developed a new method called HB-PLS regression to model the relationships between regulatory genes and pathway genes. To solve the Huber-Berhu optimization problem, an accelerated proximal gradient descent algorithm with at least 10 times faster than the general convex optimization solver …


Towards Constructing Vertex Algebroids, Nicholas J. Klecki Mar 2021

Towards Constructing Vertex Algebroids, Nicholas J. Klecki

Theses and Dissertations

The notion of vertex algebroids were introduced in the late 1990's as a crucial tool for the study of chiral differential operators and chiral de Rham complex. Vertex algebroids play vital role in the study of N-graded vertex algebra. Also, they have deep connection with representation theory of Leibniz algebras. However, the classification of irreducible modules of vertex algebroids is not completed.

The aim of this thesis is to investigate the possibility of using the simple Lie algebra G_2 and its irreducible modules to construct vertex A-algebroids B that contain G_2 as their Levi factor. Under very mild and natural …


Collaborative Research: Identifying Shallow Slow Slip Using Hematite Tectures And (U-Th)/He Thermochonometry Of Exhumed And Experimental Faults, Alexis Ault Mar 2021

Collaborative Research: Identifying Shallow Slow Slip Using Hematite Tectures And (U-Th)/He Thermochonometry Of Exhumed And Experimental Faults, Alexis Ault

Funded Research Records

No abstract provided.


Investigating Decadal Changes Of Multiple Hydrological Products And Land-Cover Changes In The Mediterranean Region For 2009–2018, Wenzhao Li, Sachi Perera, Erik Linstead, Rejoice Thomas, Hesham El-Askary, Thomas Piechota, Daniele Struppa Mar 2021

Investigating Decadal Changes Of Multiple Hydrological Products And Land-Cover Changes In The Mediterranean Region For 2009–2018, Wenzhao Li, Sachi Perera, Erik Linstead, Rejoice Thomas, Hesham El-Askary, Thomas Piechota, Daniele Struppa

Mathematics, Physics, and Computer Science Faculty Articles and Research

Land-cover change is a critical concern due to its climatic, ecological, and socioeconomic consequences. In this study, we used multiple variables including precipitation, vegetation index, surface soil moisture, and evapotranspiration obtained from different satellite sources to study their association with land-cover changes in the Mediterranean region. Both observational and modeling data were used for climatology and correlation analysis. Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) and Global Land Data Assimilation System (GLDAS) were used to extract surface soil moisture and evapotranspiration data. Intercomparing the results of FLDAS and GLDAS suggested that FLDAS data had better …


Efficient Post-Quantum And Compact Cryptographic Constructions For The Internet Of Things, Rouzbeh Behnia Mar 2021

Efficient Post-Quantum And Compact Cryptographic Constructions For The Internet Of Things, Rouzbeh Behnia

USF Tampa Graduate Theses and Dissertations

IoT systems often rely on low-end devices to send measurements to other parties and depending on the setting, unauthorized alteration and/or privacy violation of these measures can have catastrophic consequences (e.g., embedded medical sensors). Therefore, providing efficient authentication, integrity, and confidentiality in these settings is vital. While conventional cryptographic measures (e.g., ECDSA) can be used to meet these security requirements, despite their elegant design, they are often too computationally expensive for low-end devices. This is further exacerbated when security against quantum computers is taken into the account.

In this dissertation, we propose a series of new efficient conventional and post-quantum …


Imaging Of Neurotransmitters And Small Molecules In Brain Tissues Using Laser Desorption/Ionization Mass Spectrometry Assisted With Zinc Oxide Nanoparticles., Chaochao Chen, Steven R Laviolette, Shawn N Whitehead, Justin B Renaud, Ken K-C Yeung Mar 2021

Imaging Of Neurotransmitters And Small Molecules In Brain Tissues Using Laser Desorption/Ionization Mass Spectrometry Assisted With Zinc Oxide Nanoparticles., Chaochao Chen, Steven R Laviolette, Shawn N Whitehead, Justin B Renaud, Ken K-C Yeung

Chemistry Publications

Inorganic nanostructured materials such as silicon, carbon, metals, and metal oxides have been explored as matrices of low-background signals to assist the laser desorption/ionization (LDI) mass spectrometric (MS) analysis of small molecules, but their applications for imaging of small molecules in biological tissues remain limited in the literature. Titanium dioxide is one of the known nanoparticles (NP) that can effectively assist LDI MS imaging of low molecular weight molecules (LMWM). TiO2 NP is commercially available as dispersions, which can be applied using a chemical solution sprayer. However, aggregation of NP can occur in the dispersions and the aggregated NP …


Optomechanical Quantum Entanglement, Kahlil Y. Dixon Mar 2021

Optomechanical Quantum Entanglement, Kahlil Y. Dixon

LSU Doctoral Dissertations

As classical technology approaches its limits, exploration of quantum technologies is critical. Quantum optics will be the basis of various cutting-edge research and applications in quantum technology. In particular, quantum optics quite efficacious when applied to quantum networks and the quantum internet. Quantum Optomechanics, a subfield of quantum optics, contains some novel methods for entanglement generation. These entanglement production methods exploit the noise re-encoding process, which is most often associated with creating unwanted phase noise in optical circuits. Using the adapted two-photon formalism and experimental results, we simulate (in an experimentally viable parameter space) optomechanical entanglement generation experiments. These simulations …


Deep Gaussian Processes For Few-Shot Segmentation, Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan Mar 2021

Deep Gaussian Processes For Few-Shot Segmentation, Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan

Computer Vision Faculty Publications

Few-shot segmentation is a challenging task, requiring the extraction of a generalizable representation from only a few annotated samples, in order to segment novel query images. A common approach is to model each class with a single prototype. While conceptually simple, these methods suffer when the target appearance distribution is multi-modal or not linearly separable in feature space. To tackle this issue, we propose a few-shot learner formulation based on Gaussian process (GP) regression. Through the expressivity of the GP, our approach is capable of modeling complex appearance distributions in the deep feature space. The GP provides a principled way …


Multi-Institutional Study Of Self-Efficacy Within Flipped Chemistry Courses, Nicole Naibert, Kerry D. Duck, Michael M. Phillips, Jack Barbera Mar 2021

Multi-Institutional Study Of Self-Efficacy Within Flipped Chemistry Courses, Nicole Naibert, Kerry D. Duck, Michael M. Phillips, Jack Barbera

Chemistry Faculty Publications and Presentations

Active learning environments have been shown to be beneficial for student learning; however, including such activities can be limited by the class time available. One method that can provide more opportunities for active learning during face-to-face class time is the flipped learning approach. However, studies on the impacts of flipped learning environments on student motivation are limited. Therefore, in this multi-institutional study, general chemistry students enrolled in flipped courses at three institutions responded to measures of self-efficacy and self-regulatory strategies. The results from these measures were used to evaluate how students’ academic self-efficacy (ASE) and chemistry self-efficacy (CSE) changed over …


Cluster Analysis Of Lithology Grouping Trends Using Principal Component Spectral Analysis And Complex Seismic Attributes, Isfan Isfan, Agustinus Harsono, Abdul Haris Mar 2021

Cluster Analysis Of Lithology Grouping Trends Using Principal Component Spectral Analysis And Complex Seismic Attributes, Isfan Isfan, Agustinus Harsono, Abdul Haris

Makara Journal of Science

Cluster analysis is used to determine possible lithology groupings on the basis of information from seismic data. Specifically, k-means is used in the cluster analysis of different lithologies. The data center is determined randomly and updated through an iterative process (unsupervised). The cluster analysis process involves combinations of complex seismic attributes and spectral decomposition as inputs. The complex seismic attributes are reflection strength and cosine phase. Reflection strength clearly describes the lithology boundary while the cosine phase describes the lithologies. Spectral decomposition is used to detect the presence of channels. The resolution of seismic data generally reaches 90 Hz. Spectral …


Lie Groups And Euler-Bernoulli Beam Equation, Medeu Amangeldi Mar 2021

Lie Groups And Euler-Bernoulli Beam Equation, Medeu Amangeldi

Theses and Dissertations

Lie groups approach in differential equations was a breakthrough subject in the late nineteenth century. Sophus Lie, a Norwegian mathematician, introduced the systematic approach to study the solutions of differential equations. The main goal of this thesis is to study, using Lie's approach, the Euler-Bernoulli beam equation subject to swelling force, the fourth-order nonlinear differential equation used to describe the beam deflection under the swelling force. In particular, we will classify the symmetry groups of this equation, obtain several reductions, and demonstrate both analytical and numerical solutions.


Probing The Ground State Magnetism In Materials With Competing Magnetic Interactions, Richa Pokharel Madhogaria Mar 2021

Probing The Ground State Magnetism In Materials With Competing Magnetic Interactions, Richa Pokharel Madhogaria

USF Tampa Graduate Theses and Dissertations

Materials with competing magnetic interactions provide a unique combination of intriguing physics originating from structural, magnetic, and electronic degrees of freedom, along with their technological applications. The complex oxides and helimagnets also share an interesting physics involving competitive interactions and understanding the behavior of one helps us to yield an insight into the other system. A rigorous understanding about the competing interactions in strongly correlated magnetic systems provide an opportunity to explore the related effects like spin frustration, glassiness, metamagnetism, which play an essential role in manipulating their magnetic properties and functionality. In this dissertation, we combine dc magnetization [M(H,T)], …


The Effect Of Temperature On Seed Dormancy In An Alpine Meadow On The Eastern Tsinghai‐Tibet Plateau, Wenlong Li, Jing Xu, Guozhen Du, Zizhen Li Mar 2021

The Effect Of Temperature On Seed Dormancy In An Alpine Meadow On The Eastern Tsinghai‐Tibet Plateau, Wenlong Li, Jing Xu, Guozhen Du, Zizhen Li

IGC Proceedings (1993-2023)

No abstract provided.


Effects Of Ingestion By Cattle On Germinability Of Seeds Of Three Different Browse Plants, Alaba O. Jolaosho, B. O. Oduguwa, O. M. Arigbede, A. O. Olanite, Olufemi S. Onifade, Y. U. Anele, G. A. Amole Mar 2021

Effects Of Ingestion By Cattle On Germinability Of Seeds Of Three Different Browse Plants, Alaba O. Jolaosho, B. O. Oduguwa, O. M. Arigbede, A. O. Olanite, Olufemi S. Onifade, Y. U. Anele, G. A. Amole

IGC Proceedings (1993-2023)

No abstract provided.


Thermoelectric Generation And Thermophysical Properties Of Metal Oxide Nanofluids, Xinran Hou, Rong-Tsu Wang, Shaowen Huang, Jung-Chang Wang Mar 2021

Thermoelectric Generation And Thermophysical Properties Of Metal Oxide Nanofluids, Xinran Hou, Rong-Tsu Wang, Shaowen Huang, Jung-Chang Wang

Journal of Marine Science and Technology

This study describes the comprehensive characterization of the diverse water-based nanofluids involving aluminum oxide, titanium dioxide, and zinc oxide nanoparticles, which were prepared through the two-step synthesis method assisted by a microemulsion ultrasound skill with effects of both weight-percent concentration (wt.%) in the range of 1.0% and 5.0% and between 20 oC and 40 0C. The mean cluster size, zeta potential, pH value, viscosity, thermal conductivity, absorbance, light absorption, and electrical charge density of the various nanofluids were surveyed by relative experiments. The results showed that the 2 wt.% Al2O3, 2 wt.% TiO2 …