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Spark plasma sintering of a novel Mg-0.7Ca alloy: A comprehensive study

Journal of Magnesium and Alloys 2025年第3期13卷 1325-1340页

作者： Parisa Golmohammadi Behzad Nayebi Ahmad Bahmani Nader Parvin Woo Jin Kim Department of Materials and Metallurgical Engineering Amirkabir University of Technology(Tehran Polytechnic)TehranIran Department of Advanced Materials and Renewable Energy Iranian Research Organization for Science and TechnologyTehranIran Department of Materials Science and Engineering Hongik UniversitySeoulRepublic of Korea

Light-weight Mg-based alloys have gained attention owing to their various applications in engineering and biomedicalﬁ*** advancements in modern powder metallurgy techniques,such as spark plasma technique(SPS),have enabled achieving near-net-shape products with tailored properties and decreased in-process ***,improving their mechanical and physical properties require further *** this study,a novel Mg-0.7Ca alloy was produced using SPS *** effects of process parameters such as sintering time and additive type on the microstructural evolutions,phase arrangements,and mechanical and physical properties of the consolidated materials were investigated through various characterization ***-dense samples were produced from 60-minute ball-milled powder mixtures through spark plasma sintering at 420℃ for 7,10,and 13 min under 38 MPa of externally applied *** obtained samples were then characterized using Field Emission Scanning Electron Microscopy(FESEM),Electron Backscatter Diffraction(EBSD),X-ray Energy Dispersive Spectroscopy(EDS),and X-ray Diffraction(XRD)analysis methods,as well as mechanical tests including compression strength and micro-hardness *** results indicated that while improved densiﬁcation behavior is observed in parafﬁn-contained samples,relatively better compression properties are achieved in starch-contained *** is also found that the phase arrangement of the starch-contained samples includes higher fractions of the secondary phases such as oxides and residual carbons,which can positively affect the mechanical strength,despite decreased *** microstructural characterizations showed an intensiﬁed thermomechanical response of the materials in both groups via increased sintering ***,the competition between the inﬂuencing parameters causes scattered strengthening behavior and texture in the consolidated *** discussions about the densiﬁcation behavior,te

关键词： Powder metallurgy Magnesium Spark plasma sintering Grain boundary Mechanical properties Texture

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Ozone-based advanced oxidation processes in water treatment: recent advances, challenges, and perspective

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Environmental science and Pollution research 2025年第7期32卷 3531-3570页

作者： Mahmoodi, Mohammadreza Pishbin, Esmail Department of Civil Architectural and Environmental Engineering The University of Texas at Austin 2515 Speedway AustinTX78712 United States Bio-Microfluidics Lab Department of Electrical Engineering and Information Technology Iranian Research Organization for Science and Technology Tehran Iran

Water pollution, driven by a variety of enduring contaminants, poses considerable threats to ecosystems, human health, and biodiversity, highlighting the urgent need for innovative and sustainable treatment approaches. Ozone-based advanced oxidation processes (AOPs) have demonstrated significant efficacy in breaking down stubborn pollutants, such as organic micropollutants and pathogens, that are not easily addressed by traditional treatment techniques. This review offers an in-depth analysis of ozonation mechanisms, covering both the direct oxidation by ozone and the indirect reactions facilitated by hydroxyl radicals, emphasizing their effectiveness and adaptability across various wastewater matrices. Significant progress in the combination of ozonation with additional technologies, including UV irradiation, hydrogen peroxide (H₂O₂), catalytic systems, and biological treatments, is examined, highlighting their effectiveness in enhancing pollutant breakdown, increasing biodegradability, and reducing secondary pollution. Hybrid methods, including catalytic ozonation and ozone-biological treatment, show significant enhancements in process efficiency and cost-effectiveness, while effectively tackling challenges associated with energy use and byproduct generation. Despite the promising possibilities, obstacles remain, such as scalability issues, high operational costs, and the risk of generating potentially harmful transformation products. Cutting-edge approaches, including the creation of sophisticated catalysts, integration of processes, and refinement of reactor designs, are suggested to address these challenges and improve the real-world implementation of ozone-based advanced oxidation processes. This review highlights the significant potential of ozone-based advanced oxidation processes as sustainable approaches for wastewater treatment, providing an essential route to environmental conservation and safeguarding public health. © The Author(s), under exclusive lice

关键词： Ozonization

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Optimizing Heart-Kidney Interaction for Cancer Detection through Physiological Process Simulation as a Decision Support System

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IEEE Access 2025年 13卷 79169-79179页

作者： Jaddi, Najmeh Sadat Abdullah, Salwanj Othnman, Zalinda Yahya, Yazrina Nazri, Mohd Zakree Ahmad Goh, Say Leng Alvankarian, Fatemeh Alvankarian, Jafar Iranian eUniversity Faculty of Computer Engineering Tehran Iran Faculty of Information Science and Technology Center for Artificial Intelligence Technology Selangor Bangi43600 Malaysia Center for Software Technology and Management Faculty of Information Science and Technology UniversitiKebangsaan Malaysia Selangor Bangi43600 Malaysia Universiti Malaysia Sabah KampusAntarabangsa Labuan Optimisation and Analytics Research Group Faculty of Computing and Informatics Labuan87000 Malaysia University of Maryland Department of Electrical & Computer Engineering College ParkMD20742 United States Tehran University Science and Technology Park RayanMiniFab Tehran Iran

Decision support system (DSS) is a computer-based tool used to improve decision-making capabilities for any organization, using analysis of the available *** heart-kidney (HK) model proposed in this paper as a DSS simulates the physiological processes of the heart and kidneys in the human body to support cancer detection. The first part of the HK algorithm is inspired by the functions of the heart, where blood molecules (solutions) are sent to the heart, simulating the processes of oxygenation and the pumping of oxygenated blood to the kidneys as a local search. The solutions generated by the heart are then fed into the kidney-inspired algorithm (KA), which performs filtration, reabsorption, secretion, and excretion. The heart component enhances the KA's local search capability, guiding the algorithm toward optimal solutions. The HK model is evaluated on eight test functions, with results compared to those of the heart algorithm and KA alone. Additionally, the HK algorithm's effectiveness as a decision support system is tested on benchmark classification and time series prediction problems, with statistical analysis against existing methods in the literature. Finally, the HK algorithm is applied to cancer detection from microRNA data, demonstrating its potential in optimizing decision-making processes in healthcare. © 2013 IEEE.

关键词： Diseases

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Auto Digit Selection for Most Significant Digit First Multiplication

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IEEE Embedded Systems Letters 2025年

作者： Gorgin, Saeid Jaberipur, Ghassem Lee, Jeong-A Shin, Seokjoo Kim, Jungrae Computer Engineering Iranian Research Organization for Science and Technology Tehran Iran Semiconductor Systems Engineering Department College of Information and Communication Engineering SungKyunKwan University Korea Republic of Brain Pool Program for Chosun University Gwangju Korea Republic of Shahid Beheshti University Tehran Iran Chosun University Department of Computer Engineering Gwangju Korea Republic of

Performance in modern embedded systems, particularly those executing computation-intensive signal/image processing and machine learning algorithms, is critically dependent on the efficiency of multiplication operations. Serial multiplication offers key advantages in these resource-constrained environments, including low memory usage and minimal interconnect complexity. The most significant digit first (MSDF) serial multiplication scheme further enhances efficiency by enabling early termination and supporting variable precision. It is ideal for embedded applications where power and performance are critical. This paper proposes an auto-selection scheme for MSDF multiplication, where product digits are generated as a byproduct of residual maintenance, leading to speed, cost, and power efficiency improvements. We demonstrate the implementation of serial-serial and serial-parallel multipliers, where the multiplier operand in the latter is fully available throughout the computation. Simulation and synthesis results, compared to the most relevant previous works, show reductions in delay (16% and 20%), area consumption (11% and 23%), and power dissipation (7% and 20%), making our approach well-suited for embedded systems requiring efficient, low-power multiplication hardware. © 2009-2012 IEEE.

关键词： Left-to-Right Arithmetic Machine Learning Algorithms MSDF Multiplication Online Arithmetic

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Adsorption studies of benzene and toluene in gas phase onto activated carbon fabrics in fixed bed column

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Heliyon 2025年第2期11卷 e42071页

作者： Salehi, Razieh Dadashian, Fatemeh Abedi, Mohammad Eliassi, Ali Department of Textile Engineering Amirkabir University of Technology Tehran Iran Department of Textile Engineering Amirkabir University of Technology Environmental Research Center of Amirkabir University of Technology Tehran Iran Department of Chemical Technologies Iranian Research Organization for Science and Technology (IROST) Tehran Iran

The application of Activated Carbon Fabrics for adsorption of gas contaminants, including Benzene and Toluene, was performed in a fixed bed column at room temperature. The effect of process parameters such as initial inlet concentration, flow rate, and adsorbent mass on the efficiency of the column was evaluated. Results indicated that increasing adsorbent mass and decreasing initial toluene concentration increase adsorption capacity and breakthrough time. Doubling the adsorbent mass led to an increase in breakthrough time from 48 min to 132 min and from 147 min to 340 min. Reducing the flow rate causes the adsorption capacity and the breakthrough time to increase. The adsorption capacity of toluene is always higher than that of benzene, which can be explained by the higher relative pressure of toluene compared to benzene, which has increased the adsorption capacity. Experimental data were analyzed using the Adams–Bohart, Thomas, and Yoon-Nelson models. The Thomas and Yoon-Nelson models, with correlation coefficients above 0.9, effectively predicted gas adsorption performance in a fixed bed column. However, the Yoon-Nelson model cannot correctly predict the data's behavior in the early moments. It can be seen, in general, that the Thomas model is well able to describe the behavior of the data. © 2025 The Authors

关键词： Activated carbon fabrics Adsorption Benzene Column adsorption Dynamic model Toluene

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Enhancing Cloud Security Implementing AI-Based Intrusion Detection Systems 1

Enhancing Cloud Security Implementing AI-Based Intrusion Det...

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1st International Conference on Advances in computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Santharam, Vinoth Thoguluva Yallamelli, Akhil Raj Gaius Altemimi, Mohammed Alaa H. Arunachalam, Mahesh Prabu Rudrank, Shukla Ghule, Gauri Data Analytics Organization-Comcast Chennai India Amazon Web Services Inc Seattle United States Al-Khwarizmi College of Engineering The University of Baghdad Department of Information and Communication Engineering Baghdad Iraq Department of Information Technology and Computer Science AustinTX United States Kalasalingam Academy of Research and Education Deemed to be University Tamilnadu India Department of E and TC Pune India

ISBN: (纸本)9798331518578

The increasing complexity of assaults necessitates the use of innovative intrusion detection systems (IDS) to safeguard critical assets and data. There is a higher risk of cyberattacks like data breaches and unauthorised access since cloud services have been used more frequently. The project's goal is to find out how Artificial Intelligence (AI) could enhance the IDS's ability to identify and classify network traffic and identify anomalous activities. Online dangers could be identified with IDS. An intrusion detection system, or IDS, is required to keep networks secure. We must create efficient IDS for the cloud platform as well, since it is constantly growing and permeating more aspects of our daily life. However, using standard intrusion detection systems in the cloud may provide challenges. The pre-established IDS design may overburden a cloud segment due to the additional detection overhead. Within the framework of an adaptively designed networked system. We demonstrate how to fully use available resources without placing undue load on any one cloud server using an intrusion detection system (IDS) based on neural networks. To even more successfully detect new threats, the suggested IDS make use of neural network machine learning (ML). © 2025 IEEE.

关键词： Network intrusion

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Automatic sperm analysis in microscopic images of human semen: Segmentation using minimization of information distance

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iranian Journal of Medical Physics 2014年第2-3期11卷 284-293页

作者： Shojaedini, Seyed Vahab Heydari, Masoud Electrical and Computer Engineering Department Iranian Research Organization for Science and Technology Tehran Iran

Introduction: The morphologic features of human sperms are key indicators for monitoring fertility problems in men. Therefore, automated analyzing methods via microscopic videos have become the most favorite policy in infertility treatment during the last decades. Materials and Methods: In the proposed method, firstly a hypothesis testing framework was defined to distinguish sperms from background. Then, some regions were selected as candidates by minimization of the information distance between the original and processed images. Finally, the correct sperms were extracted from candidates using a watershed-based algorithm. Results: The proposed, Watershed Segmentation Algorithm (WSA), Multi Structure Element Segmentation (MSES) and Dynamic Threshold Segmentation (DTS) algorithms achieve true positive rates of 96%, 84%, 81%, and 70%, respectively, versus typically 3% of false positive rate in semen specimens with high density of sperms. The true positive rates of 87%, 69%, 66%, and 52%, respectively, at the same false positive rate were obtained for the semen specimens with high density of sperms. Conclusion: Results show that false positive rates of the proposed algorithm were at least 8% (in the first scenario) and 32% (in the second scenario) better than other methods considering the minimum acceptable true positive rate of 90%. Furthermore, it has been shown that the proposed algorithm extracted sperms at least 12% (in the first scenario) and 18% (in the second scenario) better than other methods in presence of a typically low false positive rate equal to 3%.

关键词： Body fluids

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A comparative study on H_2S removal using Mg–Al spinel(MgAl_2O_4) and MgO/Al_2O_3 nanocomposites

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Chinese Journal of Chemical engineering 2017年第9期25卷 1329-1334页

作者： S.M.Latifi J.Bakhshi Azghandi A.Salehirad M.Parvini Department of Chemical Technology Iranian Research Organization for Science & Technology Chemical Engineering Oil &Gas Semnan University

In this work MgO/Al_2O_3 nanocomposites with weight ratios from 5% to 25% were synthesized by precipitationimpregnation method and their structural properties were characterized. In the next step, the capability of the nanocomposites in H_2S removal compared to Mg–Al spinel(MgAl_2O_4), synthesized through ion-pair complex precursor route and alumina samples, prepared via sol–gel precipitation methods, was investigated. The results indicated that among the studied sorbents Mg–Al spinel presents a distinctly higher H_2S removal. In addition, the MgO/Al_2O_3 nanocomposites compared to the alumina sorbents, exhibited much better performance in H_2S removal. Also CO_2-TPD analysis reveals higher amounts of basic sites for Mg–Al spinel compared to 25 wt% MgO/75 wt% Al_2O_3 nanocomposite.

关键词： Nanomaterials Adsorption Alumina Desulfurization MgO

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A New Method to Improve Automated Classification of Heart Sound Signals: Filter Bank Learning in Convolutional Neural Networks

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iranian Journal of Medical Physics 2020年第5期17卷 331-339页

作者： Shojaedini, Seyed Vahab Morabbi, Sajedeh Department of Biomedical Engineering Iranian Research Organization for Science and Technology Tehran Iran

Introduction: Recent studies have acknowledged the potential of convolutional neural networks (CNNs) in distinguishing healthy and morbid samples by using heart sound analyses. Unfortunately the performance of CNNs is highly dependent on the filtering procedure which is applied to signal in their convolutional layer. The present study aimed to address this problem by applying filter bank learning concept in CNNs. Material and Methods: In proposed method, the filter bank of CNN is updated based on a cross-entropy minimization rule to extract higher-level features from spectral characteristics of the heart sound signal. The deeper level of the extracted features in parallel with their spectral-based nature leads to better discrimination between healthy and morbid heart sounds. The proposed method was applied to three different heart sound datasets of PASCAL-A, PASCAL-B, and Kaggle, including normal and abnormal categories. Results: The proposed method obtained a true positive rate (TPR) between minimally 86% and maximally 96% (if FPR=0%) among all the examined datasets. In addition, the false-positive rate (FPR) was obtained as 7-8% (if TPR=100%) among the mentioned datasets. Finally, the accuracy was achieved in the range of 93-98% when the FPR was 0% and within the range of 96-96.5% when the TRP was 100%. Conclusion: Increased TPR in the proposed method (96% for the proposed method vs. 87% for CNN) in parallel with a decrease in its FPR (7% for the proposed method vs. 10% for CNN) showed the proposed method's superiority against its well-known alternative in automated self-assessment of the heart. © 2020 2020

关键词： Filter banks

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Adaptive Resilience Navigation Filter for Detecting and Mitigating Multi-Spoofing Attacks in Range-Based Localization Systems using Antenna Arrays

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IEEE Transactions on Aerospace and Electronic Systems 2025年

作者： Venturino, Antonello D'afflisio, Enrica Forti, Nicola Braca, Paolo Willett, Peter Win, Moe Z. Università della Calabria DIMES Rende87036 Italy NATO Science and Technology Organization Centre for Maritime Research and Experimentation La Spezia19126 Italy Via Santa Marta 3 Firenze50139 Italy University of Connecticut Department of Electronical and Computer Engineering StorrsCT06269 United States CambridgeMA02139 United States

Ensuring the integrity of range-based localization systems is crucial, particularly due to their pervasive use in critical civilian and military applications and their vulnerability to sophisticated spoofing attacks. Among these, multi-spoofer attacks, involving coordinated and strategically positioned spoofers capable of manipulating signals to evade detection, represent a significant operational threat. This paper investigates filtering approaches to enhance the resilience of vehicles equipped with directional receivers, such as antenna or hydrophone arrays, against such advanced threats. To address this challenge, it introduces the Adaptive Resilience Navigation Filter (ARNF), designed to detect ongoing attacks, identify compromised signals, and mitigate their effects. Leveraging statistical hypothesis testing and single phase differences from antenna array measurements, the ARNF dynamically adapts to spoofed and non-spoofed signals to estimate biases introduced by spoofers and restore navigation accuracy. Validation through simulations under realistic Global Navigation Satellite System (GNSS) conditions demonstrates the efficacy of the ARNF, with performance compared to the 2-Stage Extended Kalman Filter and the ideal Clairvoyant Extended Kalman Filter. © 1965-2011 IEEE.

关键词： Adaptive filtering

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