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Biomechanical Study of Different Scaffold Designs for Reconstructing a Traumatic Distal Femur Defect Using Patient-Specific Computational Modeling

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Computer Modeling in Engineering & sciences 2025年第2期142卷 1883-1898页

作者： Hsien-Tsung Lu Ching-Chi Hsu Qi-Quan Jian Wei-Ting Chen Department of Orthopedics School of MedicineCollege of MedicineTaipei Medical UniversityTaipei11031Taiwan Department of Orthopedics Taipei Medical University HospitalTaipei11031Taiwan Department of Mechanical Engineering National Taiwan University of Science and TechnologyTaipei10607Taiwan Graduate Institute of Applied Science and Technology National TaiwanUniversity of Science and TechnologyTaipei10607Taiwan

Reconstruction of a traumatic distal femur defect remains a therapeutic *** defect implants have been proposed to substitute the bone defect,and their biomechanical performances can be analyzed via a numerical ***,the material assumptions for past computational human femur simulations were mainly ***,this study aimed to design and analyze scaffolds for reconstructing the distal femur defect using a patient-specific finite element modeling technique.A three-dimensional finite element model of the human femur with accurate geometry and material distribution was developed using the finite element method and material mapping *** intact femur and a distal femur defect model treated with nine microstructure scaffolds and two solid scaffolds were investigated and compared under a single-leg stance *** results showed that the metal solid scaffold design could provide the most stable fixation for reconstructing the distal femur ***,the fixation stability was affected by various microstructure designs and pillar diameters.A microstructure scaffold can be designed to satisfy all the biomechanical indexes,opening up future possibilities for more stable reconstructions.A three-dimensional finite element model of the femur with real bone geometry and bone material distribution can be developed,and this patient-specific femur model can be used for studying other femoral fractures or injuries,paving the way for more comprehensive research in the ***,this patient-specific finite element modeling technique can also be applied to developing other human or animal bone models,expanding the scope of biomechanical research.

关键词： Patient-specific modeling distal femur bone defect microstructure design finite element analysis

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Citrus as a source of antimalarial agents: current research trends and future directions

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Vegetos 2025年第1期38卷 21-31页

作者： Saikia, Mousmi Debbarma, Rahel Borah, Pranab Kumari, Sony Department of Herbal Science and Technology ADP College Nagaon India Department of Applied Biology University of Science and Technology Meghalaya Ri Bhoi Meghalaya Baridua India

Malaria is a parasite disease that can be fatal and is most common in tropical and subtropical areas of the world. Five species of Plasmodium, including Plasmodium falciparum and Plasmodium vivax, are responsible for most cases of disease. The two most recommended medications for treating malaria are artemisinin and chloroquine. However, several artemisinin and chloroquine-resistant plasmodium strains have lately been found as a result of the regular use of these medications. It is crucial to find an alternative, safe source of malaria treatment. Plants are known to contain a wide range of bioactive compounds, including alkaloids, coumarins, flavonoids, and terpenes. These bioactive substances target several plasmodium cellular and metabolic pathways. For example, flavonoids target plasmodium's fatty acid synthesis, terpenes block plasmodial DNA replication, whereas coumarins an successfully block DNA gyrase. Citrus (Rutaceae) is one of the common plant sources that has a high concentration of the previously listed plant secondary metabolites. The existence of these bioactive compounds has previously established the significance of citrus in pharmacology and medicine. Nevertheless, no review has yet been done on the mechanism via which portions of citrus plants can be used to treat malaria. This review aims to explore and summarize the mechanism by which citrus plants can be utilized for malarial treatment. © The Author(s) under exclusive licence to Society for Plant Research 2024.

关键词： Antimalarial Bioactive compounds Citrus Malarial treatment Plasmodium

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Promoting intracultural understanding and language proficiency through video creation: a schema activation perspective

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Journal of Research on technology in Education 2025年第2期57卷 310-324页

作者： Yeh, Hui-Chin Fu, Jo Shan Department of Applied Foreign Languages National Yunlin University of Science and Technology Yunlin Taiwan Department of English National Kaohsiung University of Science and Technology Kaohsiung Taiwan

In a global era where nuanced cross-cultural communications have become essential, mastering English language skills and acquiring cross-cultural competence pose a significant challenge for L2 learners residing in regions where English is not prevalently spoken. The aim of this study was to investigate how Taiwanese language learners’ perceptions, cultural appreciation, and language learning as key component in socio-cultural communication are influenced by engaging in video creation projects designed to present their local culture to a global audience. Participants were 69 students enrolled in an 18-week undergraduate course entitled Multimedia English. Data were collected from the students’ midterm essays and final oral presentations, detailing the process of video production. These data were examined utilizing thematic analysis and Matrix Coding Query. The findings demonstrated that the involvement in this interactive and student-centered video creation project improved students’ comprehension of diverse cultures, understanding of their own cultural context, and boosted their English language proficiency. The research phase was a pivotal juncture in their learning trajectory, as it served to activate their inherent knowledge and understanding of their own culture. This project also encouraged the students to assume greater ownership of their learning, thereby influencing their overall success. The paper concludes by discussing practical implications and other pertinent considerations. © 2023 ISTE.

关键词： Cultural self-awareness intercultural communication schema activation video creation

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Laser pulse tuning for optimized photodetector performance in CsPbI3/Si heterojunctions

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Optical and Quantum Electronics 2025年第1期57卷 1-25页

作者： Hussein, Sahar I. Ismail, Raid A. Almashhadani, Nahida J. Addie, Ali J. Applied Science Department University of Technology Baghdad Iraq Center of Industrial Applications and Materials Technology Scientific Research Commission Baghdad Iraq

Cesium lead iodide (CsPbI3) is a promising material for optoelectronic applications due to its high absorption coefficients, long carrier diffusion lengths and tunable energy gap. This study investigates the influence of the number of laser pulses on the structural, optical and electrical properties of CsPbI3 films deposited on silicon substrates by pulsed laser deposition (PLD). X-ray diffraction and scanning electron microscopy analysis shows that increasing the laser pulses from 40 to 130 leads to an improvement in the crystallinity of the films, transforming isolated crystallites into a dense interconnected network. Optical characterization shows that films deposited with 100 pulses have an ideal band gap of 2.4 eV. Hall effect measurements show that films with 70 pulses have the highest carrier mobility of 25 cm2/Vs, while films with 100 pulses achieve a balance between a high carrier concentration of 1.2 × 1018 cm− 3 and a low resistivity of 5 × 10− 5 Ω.cm, indicating optimal electrical properties. The CsPbI3/Si photodetectors fabricated with 100 pulses show excellent performance with responsivity of 6.7 A/W, a detectivity of 1 × 1012 Jones and a quantum efficiency of 12 × 102% at 600 nm. This work demonstrates the importance of optimizing the PLD laser pulses to control the film properties for high performance photodetectors. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Perovskite

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Measurements of Diffusion Coefficients in Liquid Alloys Using Two Measurement Points of In Situ X-Ray Fluorescence Analysis

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Defect and Diffusion Forum 2025年 439卷 127-138页

作者： Kobayashi, Yoshihiro Shiinoki, Masato Masaki, Tadahiko Suzuki, Shinsuke Department of Materials Science Waseda University Tokyo Japan Department of Applied Mechanics and Aerospace Engineering Waseda University Tokyo Japan Kagami Memorial Institute of Materials Science and Technology Waseda University Tokyo Japan Department of Materials Science and Engineering Shibaura Institute of Technology Tokyo Japan

This study aims to quantify the improvement in diffusion experiments in liquid alloys using two measurement points of in situ X-ray fluorescence analysis (in situ XRF). The impurity diffusion coefficient of Bi in liquid Sn at 573 K was measured by monitoring the temporal change in Bi concentration at two fixed points using in situ XRF. Two XRF measurement points were set in order to determine two unknown parameters corresponding to the diffusion coefficient and initial concentration at the measurement point immediately after complete melting. When only one measurement point was set for in situ XRF, the initial concentration was treated as a variable, and the obtained impurity diffusion coefficients of Bi deviated by 20%–30% from the reliable reference data. Using two measurement points for in situ XRF, the obtained impurity diffusion coefficient of Bi was (2.44±0.08)×10-9 m2 s-1, which agreed with the reference data obtained under microgravity and on the ground. © 2025 Trans Tech Publications Ltd, All Rights Reserved.

关键词： Bismuth alloys

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Effect of process parameters on properties of Mn1.5CuFe0.5O4 spinel oxide coatings deposited by spray pyrolysis method

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International Journal of Hydrogen Energy 2025年 130卷 213-229页

作者： Mehdizade, Maryam Smeacetto, Federico Winiarski, Michal Molin, Sebastian Advanced Materials Center Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland Department of Applied Science and Technology Polytechnic di Torino Italy Applied Physics and Mathematics and Advanced Materials Center Gdansk University of Technology Gdansk Poland

One of the critical issues in the lifetime of metallic interconnects is related to their high oxidation rate and Cr diffusion, which negatively affect their performance. In the present study, a novel Fe modified Mn–Cu spinel oxide with the chemical composition of Mn1.5CuFe0.5O4 as protective coating was deposited on the surface of Crofer 22 APU and alumina by the spray pyrolysis method. The effects of different deposition conditions including deposition temperature, spraying speed, and volume of precursor on the properties of deposited spinel coatings were investigated. Scanning electron microscopy characterizations showed that the deposited layer was uniform and non-cracked at the deposition temperature of 400 °C. However, at temperatures of 300 °C and lower, the deposited layers became non-uniform and cracked. Additionally, spraying with speeds of 10 ml/h and lower resulted in uniform and non-cracked coatings, and a higher spraying speed of 15 ml/h caused a nonuniform and cracked layer. Atomic force microscopy measurements proposed that the value of Ra was reduced by increasing the deposition temperature and reducing the spraying speed. X-ray diffraction characterization showed that deposition temperature has affected the phase structure of deposited spinel oxides on both substrates. According to electrical conductivity measurements, deposited layers at higher deposition temperatures with lower spraying speeds showed higher electrical conductivity and lower activation energy. Decreasing the deposition temperature reduced the electrical conductivity of the spinel oxide coatings. © 2025 The Authors

关键词： Spray pyrolysis

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Correction: Experimental investigation and thermodynamic modelling assessment of the AECl2-NdCl3 (AE = Sr, Ba) systems (Physical Chemistry Chemical Physics (2024) 26 (24041-24057) DOI: 10.1039/D4CP01784F)

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Physical Chemistry Chemical Physics 2025年第17期27卷 9282-9283页

作者： D. C. Alders D. J. Cette R. J. M. Konings A. L. Smith Delft University of Technology Faculty of Applied Sciences Radiation Science & Technology Department Mekelweg 15 2629 JB Delft The Netherlands

The reference list in the originating article was incorrect. The correct list of references is shown here. The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and rea...

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Enhanced Federated Learning Framework based on Deep Learning and Neutrosophic Set for Android Malware Classification

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Neutrosophic Sets and Systems 2025年 82卷 781-799页

作者： Abdellah, Mohamed Refaat Oudah, Hasan H. Badawy, Ahmed Mohamed Ahmed Mohamed, Abdelfattah Abdelfattah M. Bedier, Shady Ahmed Metwaly, Ahmed A. Eassa, Mohamed Abdelhafeez, Ahmed The Department of Computer Science College of Information Technology Misr University for Science and Technology Cairo Egypt College of Arts Department of Journalism Ahl Al Bayt University Karbala Iraq Cybersecurity Department Faculty of Computers and Artificial Intelligence Helwan University Egypt Computer Science Department Faculty of Information System and Computer Science October 6 University Giza12585 Egypt Department of Computer Science Faculty of Computers and Informatics Zagazig University Zagazig44519 Egypt Applied Science Research Center Applied Science Private University Amman Jordan

Malware detection is one of the critical tasks of cybersecurity, especially considering the growing popularity of mobile devices. The integrity and security of mobile ecosystems rely on the capacity to identify malware quickly and precisely, as security hacks against these devices become increasingly frequent. Due to the requirement for massive volumes of data aggregation, traditional centralized machine learning (ML) techniques for malware detection face challenges with data sharing, computational complexity, and privacy. This research addresses these challenges by proposing a novel model, called "CNN-Fed", which is based on Convolutional Neural Networks (CNN) with Federated Learning (Fed). The main goal of this work is to create a global classifier for Android malware detection that is highly accurate and does not require centralised data aggregation. Using four benchmark datasets—Drebin, Malgenome, Kronodroid, and Tuandromd—the CNN-Fed model is trained across many clients in a federated setting under the suggested architecture. Then we use multi-criteria decision-making (MCDM) methodology to evaluate the number of clients and number of rounds. We use two MCDM methods such as Entropy methodology to compute the criteria weights and the CoCoSo methodology to rank the alternatives. We use the interval-valued neutrosophic sets (IVNSs) to deal with uncertainty and vague information. We use five criteria such as accuracy, F1-score, precision, recall, and FP and six of alternatives refer to the number of clients and number of rounds. The results show the best alternative has a larger number of clients and rounds. © 2025, University of New Mexico. All rights reserved.

关键词： Android malware

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Enhanced Neutrosophic Set and Machine Learning Approach for Kidney Disease Prediction

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Neutrosophic Sets and Systems 2025年 80卷 465-477页

作者： Al-Doori, Humam M. Alkellezli, Tareef S. Abdelhafeez, Ahmed Eassaa, Mohamed Sawah, Mohamed S. El-Douh, Ahmed A. Cybersecurity Sciences Department College of Science Ashur University Baghdad Iraq Cybersecurity Engineering Department College of Engineering Ashur University Baghdad Iraq Computer Science Department Faculty of Information System and Computer Science October 6 University Giza12585 Egypt Applied Science Research Center Applied Science Private University Amman Jordan Department of Computer Science Faculty of Information Technology Ajloun National University P.O.43 Ajloun26810 Jordan Cybersecurity Technology Engineering Department College of Engineering Technology Ashur University Baghdad Iraq

Kidney disease (KD) is a gradually increasing global health concern. It is a chronic illness linked to higher rates of morbidity and mortality, a higher risk of cardiovascular disease and numerous other illnesses, and expensive medical expenses. The machine learning (ML) models are applied for KD prediction with higher accuracy and precision. The KD dataset has uncertainty and vague information, so, we used the neutrosophic set (NS) to deal with vague and uncertainty information in the KD dataset. The KD dataset is converted into the N-KD dataset with three membership functions: truth, indeterminacy, and falsity. Three ML models are used in this study such as logistic regression (LR), support vector machine (SVM), and k-nearest neighbor (KNN). These ML models are applied to the N-KD dataset. The results show the LR has higher accuracy and precision on the N-KD dataset than the original KD dataset. © 2025, University of New Mexico. All rights reserved.

关键词： Logistic regression

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Enhanced MADM Strategy with Heptapartitioned Neutrosophic Distance Metrics

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Neutrosophic Sets and Systems 2025年 78卷 74-96页

作者： Eassa, Mohamed Myvizhi, M. Elkholy, Mohamed Abdelhafeez, Ahmed Elbehiery, Hussam Computer Science Department Faculty of Information System and Computer Science October 6 University Giza12585 Egypt Applied Science Research Center Applied Science Private University Amman Jordan Department of Mathematics KPR Institute of Engineering and Technology Tamilnadu Coimbatore India Faculty of Computer Science& Engineering Alamein International University Egypt

In this work, a novel methodological approach to multi-attribute decision-making problems is developed and the notion of Heptapartitioned Neutrosophic Set Distance Measures (HNSDM) is introduced. By averaging the Penta-Partitioned Neutrosophic Distance Measures under particular conditional criteria, the suggested technique ranks the options. Additionally, we explore the fundamental characteristics of HNSDM and provide several illustrative theorems. The Heptapartitioned Neutrosophic Set Distance Measures are formulated based on the Hepta Neutrosophic Set. Lastly, a practical numerical example is provided to illustrate the efficacy of the suggested methodology. © 2025, University of New Mexico. All rights reserved.

关键词： Heptapartitioned Neutrosophic set Heptapartitioned Neutrosophic set and MADM strategy Heptapartitioned set Neutrosophic sine distance measure

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