Tripling Optical Efficiency of Pancake Optics for Virtual Reality Displays by Yuze Xiao, Jiazhan Zhang, Yun Ye, Sheng Xu, Qun Yan, Tailiang Guo, Enguo Chen

“…The results indicate that this structure has great potential in the VR display field.…”
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University International Cooperation: Project Based Translation Training by E. Yu. Novikova, V. A. Mityagina, St. Walter

“…These papers describe didactic models in teaching different types of translation and discourse-dependent translation strategies. …”
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Warning Time Analysis From SEP Simulations of a Two‐Tier REleASE System Applied to Mars Exploration by A. Posner, R.D. Strauss

“…This system would exploit the Hohmann‐Parker effect, the circumstance that a spacecraft remains close to the heliospheric magnetic field lines that connect Earth and/or Mars with the Sun while in the Hohmann transfer orbit. …”
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CAR T cells for treating autoimmune diseases by Dimitrios Mougiakakos, Ulrike Koehl, Stephan Fricke, Ulrich Blache, Sandy Tretbar

“…In the wake of its success in cancer therapy, adoptive transfer of engineered T cells modified with chimeric antigen receptors (CAR) for target recognition could now become a therapeutic option for some autoimmune diseases. …”
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Thermal Brownian motion and thermophoretic of reacting hybridized nanoparticles in Williamson-water base fluid with convective cooling cylinder by S.O. Salawu, A.M. Obalalu, E.O. Fatunmbi, O.Y. Oludoun

“…Also, the chemical reactions pivoted the modulation of temperature and concentration fields to influence the whole heat transfer characteristics.…”
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Application of DTM to heat source/sink in squeezing flow of iron oxide polymer nanofluid between electromagnetic surfaces by Reshu Gupta, A.B. Albidah, NFM Noor, Ilyas Khan

“…This mechanism, combining both electric and magnetic fields, offers a unique way to control and enhance fluid dynamics, which is not commonly explored in traditional fluid flow models. …”
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Effects of position of semi-circular body on melting of a novel B4C/RT44HC PCM nanocomposite in a closed space by Ezgi Gurgenc, Muhammed Gur, Hakan Cosanay, Turan Gurgenc, Hakan F. Oztop

“…The findings contribute to the field of advanced thermal energy storage and management by presenting a robust strategy for optimizing heat transfer in PCM systems, with potential applications in sustainable building design, electronic cooling, and energy-efficient technologies.…”
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The impact of the international rice genebank’s (IRG) on rice farming in Bangladesh by Donald Villanueva, Yuji Enriquez, Grace Lee Capilit

“…This study aimed to map the impact pathways of IRG germplasm transfers to Bangladesh, evaluate the genetic contribution of IRG germplasms to rice productivity of farmers, and compute the equivalent economic benefit. …”
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Few-Shot Graph Anomaly Detection via Dual-Level Knowledge Distillation by Xuan Li, Dejie Cheng, Luheng Zhang, Chengfang Zhang, Ziliang Feng

“…Graph anomaly detection is crucial in many high-impact applications across diverse fields. In anomaly detection tasks, collecting plenty of annotated data tends to be costly and laborious. …”
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Literature Review on Single and Twin-Screw Extruders Design for Polymerization Using CFD Simulation by Elham Delvar, Inês Oliveira, Margarida S. C. A. Brito, Cláudia G. Silva, Arantzazu Santamaria-Echart, Maria-Filomena Barreiro, Ricardo J. Santos

“…Additionally, it highlights the key challenges and future directions in this field. Analytical models to describe the velocity profiles were proposed in the 1950s, involving certain geometrical simplifications. …”
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Effect of interface morphology on tensile response of Ti6Al4V alloy fabricated by laser hybrid additive manufacturing: Experiments & simulations by Wei Fan, Guang Hu, Yuguang Chen, Yue Du, Yijie Peng, Yongxia Wang, Yunlong Li, Hua Tan, Fengying Zhang, Xin Lin

“…A novel numerical simulation approach is employed to capture the transitional properties of the interface, which are often simplified in traditional models. Experimental validation and finite element analysis (FEA) are combined to explore the impact of interface geometry on stress distribution and load transfer mechanisms. …”
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Aspect-Based Sentiment Analysis using Adaptive Aspect on Tourist Reviews in Jakarta by Ade Rifqy Setyawan, Lya Hulliyatus Suadaa, Budi Yuniarto

“…The models used in both methods are transfer learning IndoBERT. …”
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Survey on vertical federated learning: algorithm, privacy and security by Jinyin CHEN, Rongchang LI, Guohan HUANG, Tao LIU, Haibin ZHENG, Yao CHENG

“…Federated learning （FL） is a distributed machine learning technology that enables joint construction of machine learning models by transmitting intermediate results （e.g., model parameters, parameter gradients, embedding representation, etc.） applied to data distributed across various institutions.FL reduces the risk of privacy leakage, since raw data is not allowed to leave the institution.According to the difference in data distribution between institutions, FL is usually divided into horizontal federated learning （HFL）, vertical federated learning （VFL）, and federal transfer learning （TFL）.VFL is suitable for scenarios where institutions have the same sample space but different feature spaces and is widely used in fields such as medical diagnosis, financial and security of VFL.Although VFL performs well in real-world applications, it still faces many privacy and security challenges.To the best of our knowledge, no comprehensive survey has been conducted on privacy and security methods.The existing VFL was analyzed from four perspectives: the basic framework, communication mechanism, alignment mechanism, and label processing mechanism.Then the privacy and security risks faced by VFL and the related defense methods were introduced and analyzed.Additionally, the common data sets and indicators suitable for VFL and platform framework were presented.Considering the existing challenges and problems, the future direction and development trend of VFL were outlined, to provide a reference for the theoretical research of building an efficient, robust and safe VFL.…”
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Colonial legacy and traps in the social-ecological systems of forest management by C.D.A. Depari

“…The study’s novelty lies in its adoption of Boyer’s refined panarchy models and Boonstra and De Boer’s systematic analysis to address the methodological concern toward a better understanding of social-ecological systems.METHODS: This study utilizes various techniques for data collection, including semi-structured interviews, literature reviews, and field observations. …”
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Impact of distortions in UAV images on quality and accuracy of object localization by Rostyslav Tsekhmystro, Oleksii Rubel, Oleksandr Prysiazhniuk, Vladimir Lukin

“…The second objective is to analyze the sensitivity of several modern neural network models to noise/distortions.  The result is a statistical assessment of the dependence of model performance on input data quality. …”
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Analysis of Metallic Nanoparticles (Cu, Al2O3, and SWCNTs) on Magnetohydrodynamics Water-Based Nanofluid through a Porous Medium by P. K. Pattnaik, S. K. Parida, S. R. Mishra, M. Ali Abbas, M. M. Bhatti

“…Furthermore, the addition of metallic nanoparticles enhanced the nanofluid properties for energy transfer enrichment and found many applications in various fields of science and technology.…”
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Electroforming-based micro-texturing: Advancements for surface engineering in EDM by Mariana Hernández-Pérez, Pedro M. Hernández-Castellano, Juan M. Vázquez-Martínez, María D. Marrero-Alemán

“…The results demonstrate high replicability in the transfer of microtextures to electroformed shells. …”
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Design of a sustainable supply chain network of biomass renewable energy in the case of disruption by Leila Aslani, Atefeh Hasan-Zadeh, Yousef Kazemzadeh, Amir-Hosein Sheikh-Azadi

“…In this paper, a mathematical model has been proposed for the design of the biomass supply chain of field residues that includes several fields where residue is transferred to hubs after collecting the residue in the hub, the residue is transferred to reactors. …”
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Deep-Learning Based Depth-Tracking of Stacking-Faults in Epitaxially Grown Silicon Wafers by Theresa Trötschler, Saed Al-Hajjawi, Siddharth Raghavendran, Jonas Haunschild, Matthias Demant, Stefan Rein

“…This work presents a non-destructive and automated characterization method on full-size wafers to locate stacking faults and determine their layer of origin to identify process-based root causes. A deep learning model and a quantification via geometric defect properties is realized on dark field microscope images, with the potential to be transferred to inline images measured in dark field mode with high-resolution cameras. …”
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Artificial intelligence and assisted reproductive technology: A comprehensive systematic review by Yen-Chen Wu, Emily Chia-Yu Su, Jung-Hsiu Hou, Ching-Jung Lin, Krystal Baysan Lin, Chi-Huang Chen

“…AI-driven models provided more precise forecasts of the optimal timing for clinical interventions such as egg retrieval and embryo transfer, which are critical to the success of ART cycles. …”
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