Naga Mallik Atcha, Jagannadha Rao D B, Vijayakumar Polepally
{"title":"Efficient Frequent Subgraph Mining for Dynamic Network Graphs Using Golden Dung Graph Hybridization","authors":"Naga Mallik Atcha, Jagannadha Rao D B, Vijayakumar Polepally","doi":"10.1002/appl.70019","DOIUrl":"https://doi.org/10.1002/appl.70019","url":null,"abstract":"<div>\u0000 \u0000 <p>Frequent subgraph mining (FSM) is one of the most critical procedures for mining meaningful patterns in large and dynamic graph datasets, common in several applications, such as social networks and biological data analysis. Traditional FSM methods are developed primarily with static graphs in mind and, thus, are inefficient when applied to dynamic data, especially data that updates continuously. This paper provides a novel framework of efficient FSM for dynamic network graphs with the support of a four-phase approach involving preprocessing, map, shuffle, and sort, and reduce phases. The hybrid optimization approach developed is known as Golden Dung Graph Hybridization (GDGH) and is a synchronization of Dung Beetle Optimization Algorithm and Golden Jackal Optimization Algorithm to optimize subgraph selection. For subgraph embedding and isomorphism testing, we further conduct a comparative study of several message-passing neural networks. Furthermore, this study conducts extensive experiments on several datasets that show significant superiority over the existing FSM methods in processing time, memory efficiency, and accuracy to demonstrate the efficacy of the proposed framework.</p></div>","PeriodicalId":100109,"journal":{"name":"Applied Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144219932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kevin Gurbani Beepat, Davinder Pal Sharma, Dinesh Pathak, Vinod Kumar
{"title":"A Numerical Study on Enhancing Silicon Solar Cell Efficiency via the Integration of AgInSe2","authors":"Kevin Gurbani Beepat, Davinder Pal Sharma, Dinesh Pathak, Vinod Kumar","doi":"10.1002/appl.70022","DOIUrl":"https://doi.org/10.1002/appl.70022","url":null,"abstract":"<div>\u0000 \u0000 <p>The material AgInSe<sub>2</sub> (AIS) has garnered much attention for the improvement of the power conversion efficiency in solar cells in recent years. To understand how AIS affects the structure of silicon (Si) solar cells, this study numerically compared Si solar cells to Si/AIS solar cell structures using COMSOL Multiphysics. It was discovered that adding AIS to Si improved the shunt resistance, which increased the open-circuit voltage (V<sub>OC</sub>) and marginally increased the short-circuit current density (J<sub>SC</sub>). The entire effect caused the efficiency to rise from 10.12% to 11.04% with the final structure having a J<sub>SC</sub>, V<sub>OC</sub> and fill factor of 18.78 mA/cm<sup>2</sup>, 0.694 V and 0.846 respectively. The results indicate that the AIS layer might be crucial to producing extremely efficient solar cells, by improving its shunt resistance. It was also investigated how heating effects occur within the solar cells. Joule heating was discovered to occur at the locations of the p-n junctions, whereas non-radiative recombination heating was found to happen within the first 5 μm of the solar cell. Studying the heating effects inside the cell is crucial to limiting them and enhancing the cell's operational performance. Based on the results gained from this study, AIS can be suggested as an influential material for achieving higher efficiencies within Si solar cells and may therefore provide an effective strategy and source for the manufacture of high-performance solar cells.</p></div>","PeriodicalId":100109,"journal":{"name":"Applied Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144206931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantum Tribology: Harnessing Nanoscale Quantum Effects for Superior Friction Control","authors":"Alberto Boretti","doi":"10.1002/appl.70023","DOIUrl":"https://doi.org/10.1002/appl.70023","url":null,"abstract":"<div>\u0000 \u0000 <p>The study of friction, wear, and lubrication – traditionally governed by classical physics – is undergoing a transformation with the emergence of quantum tribology, a field where quantum mechanical effects play a pivotal role in surface interactions at the nanoscale. Phenomena such as quantum tunneling, electron–phonon coupling, electron transfer, modifications in atomic orbital interactions, and van der Waals interactions significantly influence tribological behavior, presenting both challenges and opportunities for materials science and engineering. This review explores recent breakthroughs in quantum tribology, including graphene-based lubricants, doped diamond-like carbon coatings, nanoparticle-enhanced coatings, phototribology, structural superlubricity, and self-healing films, which offer promising avenues for reducing energy dissipation and material wear. By leveraging quantum effects, these advancements have the potential to enhance the performance and longevity of tribological systems in industries such as microelectronics, automotive, aerospace, power generation, and nanomanufacturing. Despite these strides, critical hurdles remain, including the need for advanced computational models capable of capturing the intricate quantum mechanisms and experimental techniques capable of capturing and validating quantum-driven tribological phenomena at relevant scales. Addressing these challenges will unlock new frontiers in ultra-low friction technologies, paving the way for more efficient and durable materials working at the atomic and molecular scales.</p></div>","PeriodicalId":100109,"journal":{"name":"Applied Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144213953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Albert Dede, Henry Nunoo-Mensah, Emmanuel Kofi Akowuah, Kwame Osei Boateng, Iddrisu Danlard, Prince Ebenezer Adjei, Francisca Adoma Acheampong, Jerry John Kponyo
{"title":"Wavelet-Enhanced Deformable Convolutional Network for Breast Cancer Classification in High-Resolution Histopathology Images","authors":"Albert Dede, Henry Nunoo-Mensah, Emmanuel Kofi Akowuah, Kwame Osei Boateng, Iddrisu Danlard, Prince Ebenezer Adjei, Francisca Adoma Acheampong, Jerry John Kponyo","doi":"10.1002/appl.70021","DOIUrl":"https://doi.org/10.1002/appl.70021","url":null,"abstract":"<div>\u0000 \u0000 <p>The limitations of deep learning methods in processing high-resolution inputs can impact the accuracy and efficiency of their results. This study presents a new architectural framework that combines wavelet-based preprocessing with deformable convolutional networks to classify high-resolution histopathological images. Our methodology utilizes multi-resolution wavelet decomposition for efficient feature extraction which maintains diagnostically significant information. This improvement is augmented by deformable convolutions, which improve robustness against geometric transformations of the inputs. Empirical evaluation on the BreaKHis data set shows an image-level accuracy of 96.47% and a patient-level accuracy of 96.55% at 200× magnification. The architecture consistently performs well across different magnification levels, with particular efficiency at higher resolutions where detailed morphological features are essential for accurate diagnosis. Ablation studies support our key architectural contributions, including reduced computational complexity through wavelet-based feature extraction, improved geometric invariance via deformable convolutions, and better classification performance than conventional methods. These findings suggest significant potential for improving diagnostic workflows in clinical settings where pathological expertise may be limited.</p></div>","PeriodicalId":100109,"journal":{"name":"Applied Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yiran Guo, Arijit Pradhan, Petra Jonson, Narasimha Boddeti
{"title":"Design and Additive Manufacture of Architected Short Fiber Reinforced Composites","authors":"Yiran Guo, Arijit Pradhan, Petra Jonson, Narasimha Boddeti","doi":"10.1002/appl.70020","DOIUrl":"https://doi.org/10.1002/appl.70020","url":null,"abstract":"<p>We present an efficient multiscale design to additive manufacture workflow for architected short fiber reinforced composites, that is, composites with tailored spatially varying, complex arrangement of fibers for improved performance. Our workflow encompasses: (1) multiscale topology optimization (MTO), (2) a unique dehomogenization algorithm, and (3) robotic additive manufacturing. Specifically, we used homogenization based MTO, which enables computationally efficient simultaneous optimization of the macroscale structure and the architected fiber microstructure. We devised a dehomogenization method based on the <i>stripe patterns</i> algorithm to translate the optimized designs into manufacturable print plans, while ensuring minimal deviations, for material extrusion additive manufacturing processes. We adapted this manufacturing approach to process short carbon fiber reinforced epoxy on both 3-DoF (degrees of freedom) Cartesian robots and 6-DoF robotic arms, two widely used robots for additive manufacturing. We demonstrated the workflow's efficacy through design and manufacture of a planar tensile structure and a nonplanar spherical shell, with mechanical tests on the additively manufactured optimized structures agreeing well with numerical predictions.</p>","PeriodicalId":100109,"journal":{"name":"Applied Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reviewing Ferroelectric Nematic Liquid Crystals: From Fundamental Properties to Cutting-Edge Applications","authors":"Raj Kumar Khan","doi":"10.1002/appl.70018","DOIUrl":"https://doi.org/10.1002/appl.70018","url":null,"abstract":"<div>\u0000 \u0000 <p>Ferroelectric nematic (N<sub>F</sub>) liquid crystals (LCs) have garnered substantial interest due to their unique polar ordering, phase transitions, and electro-optic (E-O) properties, with potential applications spanning from low-power reflective displays to advanced photonics and microfluidics. This review explores the multifaceted nature of N<sub>F</sub> LCs and comprehensively analyzes their phase behavior, alignment, and surface interactions. Notable findings include the nematic (N)-N<sub>F</sub> phase transition's weak first-order nature, surface treatments' role in inducing polar order, and meron-like structures resembling ferromagnetic domains. Furthermore, the review highlights the tunability of N<sub>F</sub> LCs under electric fields, offering exciting possibilities for adaptive optics, sensors, and actuators. Despite these advancements, challenges remain in optimizing molecular alignment, controlling defects, and expanding the scalability of N<sub>F</sub> LC technologies. By addressing key experimental and theoretical studies, this review aims to present a deeper understanding of N<sub>F</sub> liquid crystals' E-O responses, phase transitions, and their potential to revolutionize future LC-based technologies.</p></div>","PeriodicalId":100109,"journal":{"name":"Applied Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144091689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visualization Analysis and Impedance Analysis for the Aging Behavior Assessment of 18650 Cells","authors":"Yihan Shi, Qingrui Pan, Jitao Li, Xiaoze Shi, Youchang Wang, Peng Xiao","doi":"10.1002/appl.70015","DOIUrl":"https://doi.org/10.1002/appl.70015","url":null,"abstract":"<div>\u0000 \u0000 <p>This work presents a comprehensive study on the aging behavior of 18650-type lithium-ion batteries, focusing on the uneven intercalation of lithium ions during fast charging processes. It introduces a novel approach using color visual recognition technology to analyze color changes in the graphite anode, indicative of lithiation levels. The study employs X-ray diffraction (XRD) and distribution of relaxation time (DRT) techniques to validate and analyze the observations. The study emphasizes the significance of electrode impedance, the positioning of battery tabs, and electrolyte distribution in influencing the aging dynamics of lithium-ion batteries. Furthermore, the paper presents an innovative impedance Transport-Line Model, specifically developed to capture the evolution of polarization impedance over time. This model offers a deeper understanding of the internal mechanisms driving battery aging, providing valuable insights for the design and optimization of lithium-ion batteries. The research represents a significant contribution to the field, shedding light on the complex aging processes in lithium-ion batteries, particularly under the conditions of fast charging. This could lead to improved battery performance, longevity, and safety, which are critical for the wide range of applications that depend on these energy storage systems.</p></div>","PeriodicalId":100109,"journal":{"name":"Applied Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143938715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling Studies of Microtubule Polymerization Promoted by Kinesin-5 Motors","authors":"Ping Xie","doi":"10.1002/appl.70017","DOIUrl":"https://doi.org/10.1002/appl.70017","url":null,"abstract":"<div>\u0000 \u0000 <p>Kinesin-5 Eg5 motors have the ability to promote microtubule polymerization. However, how the Eg5 motors can promote the microtubule polymerization is unclear. Here, a model is presented, based on which the dynamics of the microtubule polymerization promoted by the Eg5 motors is studied analytically. For comparison, the dynamics of the microtubule polymerization in the presence of kinesin-1 motors and in the absence of the kinesin motor is also studied analytically. The analytical results explain quantitatively the available experimental data. The predicted results are also provided.</p></div>","PeriodicalId":100109,"journal":{"name":"Applied Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143925808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Annita Theofanous, Yiannis Deligiannakis, Maria Louloudi
{"title":"{Silk@Hyaluronic-Acid} Hybrids: Efficient Antioxidants Against DPPH● With Resilience Against ●OH","authors":"Annita Theofanous, Yiannis Deligiannakis, Maria Louloudi","doi":"10.1002/appl.70014","DOIUrl":"https://doi.org/10.1002/appl.70014","url":null,"abstract":"<p>Antiradical, antioxidant agents are of great importance in health, materials, and technology applications. Usually, DPPH<sup>●</sup> are the radicals typically used as probes in the evaluation of antioxidant materials and technologies. Hydroxyl radicals (<sup>●</sup>OH) are also omnipresent; however, assessment of their pervasive role on DPPH<sup>●</sup>-antioxidants remains challenging. In this study, we introduce novel hybrid antioxidant materials with enhanced durability as DPPH<sup>●</sup>-scavengers, demonstrating high resistance to <sup>●</sup>OH. The hybrid antioxidants were synthesized by immobilizing the two monomers of hyaluronic acid (D-Glucuronic Acid [GLA], and N-Acetyl-D-Glucosamine [GLAM]) onto the surface of degummed silk fibers. Hyaluronic acid, a prominent product widely utilized in cosmetics and medical applications, is renowned for its biochemical and therapeutic properties. Silk, commonly known as the “queen of textiles,” possesses remarkable structural and mechanical attributes. The hybrid materials' hydrogen atom transfer antioxidant activity was evaluated through their reactivity toward DPPH<sup>●</sup> radicals. GLA@SFd@GLAM, exhibited the highest performance, effectively scavenging a total amount of 11 μmol of DPPH radicals per gram of material. All three hybrid materials demonstrated reusability, maintaining their efficacy in scavenging DPPH radicals over multiple cycles. The resilience of the hybrids, against hydroxyl radicals (<sup>●</sup>OH), was evaluated in-situ using Electron Paramagnetic Resonance spectroscopy. The materials SFd@GLA, SFd@GLAM, and GLA@SFd@GLAM retained their DPPH-antioxidant activity after exposure to <sup>●</sup>OH radicals for up to two consecutive cycles of use. We discuss the physicochemical basis and mechanisms of the interactions of the {Silk@Hyaluronic-Acid} hybrids with DPPH<sup>●</sup> and <sup>●</sup>OH radicals.</p>","PeriodicalId":100109,"journal":{"name":"Applied Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cover Image: Volume 4 Issue 3","authors":"","doi":"10.1002/appl.70016","DOIUrl":"https://doi.org/10.1002/appl.70016","url":null,"abstract":"<p><i>Applied Research</i> is a multidisciplinary journal that focuses on bridging fundamental research and practical applications, supporting sustainable problem-solving and global initiatives. The journal covers high-quality research in fields such as Materials, Applied Physics, Chemistry, Applied Biology, Food Science, Engineering, Biomedical Sciences, and Social Sciences. Authors can submit various article types, including Reviews, Tutorials, and Research Articles. The journal aims to highlight innovative research that demonstrates the application of knowledge, methods, instrumentation, and technology into solutions.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":100109,"journal":{"name":"Applied Research","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/appl.70016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}