Design and fabrication of asymmetric Mach-Zehnder interferometers based on EpoClad and EpoCore strip waveguides by Magalhães Tiago E.C., Borme Jérôme, Douglas Temple, Maibohm Christian, Nieder Jana B.

“…In this work, we present a design optimization method and fabrication results by e-beam lithography for integrated asymmetric Mach-Zehnder interferometers based on strip waveguides made from EpoClad and EpoCore polymers. …”
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Using optimized dimensionality reduction and machine learning to explain driving processes of phytoplankton community assembly in large mountain rivers by Jingxu Ye, Daikui Li, Qi Liu, Jianying Song, Jiawei Song, Zhigang Zu, Yujun Yi

“…Currently, the elucidation of aquatic community assembly processes is primarily achieved by integrating multiple factors. However, enhancing the utilization of data structural features and ecological interpretability in multi-dimensional data integration remains a challenge. …”
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Dual-Branch Deep Learning with Dynamic Stage Detection for CT Tube Life Prediction by Zhu Chen, Yuedan Liu, Zhibin Qin, Haojie Li, Siyuan Xie, Litian Fan, Qilin Liu, Jin Huang

“…However, existing prediction methods based on a single model struggle to adapt to the multi-stage variation characteristics of tube lifespan and have limited modeling capabilities for temporal features. …”
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Generation driven understanding of localized 3D scenes with 3D diffusion model by Hao Sun, Junping Qin, Zheng Liu, Xinglong Jia, Kai Yan, Lei Wang, Zhiqiang Liu, Shaofei Gong

“…In addition to accurately predicting the distribution of the noise tensor, the framework significantly enhances the understanding of localized scenes by effectively integrating spatial context information. Specifically, 3D-UDDPM combines Markov chain Monte Carlo (MCMC) sampling and variational inference methods to reconstruct clear structural details in a stepwise backward inference manner, thereby driving the generation and understanding of local 3D scenes by internalizing geometric features as a priori knowledge. …”
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An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records by Hongnian Wang, Mingyang Zhang, Liyi Mai, Xin Li, Abdelouahab Bellou, Lijuan Wu

“…Methods We developed a practical multi-step feature selection (FS) framework that integrates data-driven statistical inference with a knowledge verification strategy. …”
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Wafer-scale correlated morphology and optoelectronic properties in GaAs/AlGaAs core–shell nanowires by Ishika Das, Keisuke Minehisa, Fumitaro Ishikawa, Patrick Parkinson, Stephen Church

“…GaAs/AlGaAs nanowire wafer, achieving uniform nanowire coverage had a greater impact on consistent optoelectronic properties than variations in material quality, highlighting its significance for scalable III–V semiconductor integration on silicon in advanced optoelectronic devices such as solar cells and photodetectors.…”
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The Influence of Pesantren Educational Background on Arabic Language Competence of Students in Islamic Higher Education by Afida Khoirotul Azizah, Fatihatul Mukarromah, Nurul Ainiy

“…Field observations reveal that not all Arabic Education majors in Islamic higher education institutions originate from Islamic boarding schools, leading to variations in language competency levels. Consequently, this study focuses on assessing the impact of pesantren educational backgrounds on the Arabic language competence of students at IAI Sunan Kalijogo Malang, utilizing a qualitative descriptive research method. …”
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A SYSTEM APPROACH TO ORGANISING PROTECTION FROM TARGETED INFORMATION IN SOCIAL NETWORKS by Marina V. Tumbinskaya

“…Objectives The aim of the study is to formalise a generalised algorithm for the distribution of targeted information in social networks, serving as the basis for a methodology for increasing personal information security. Method The research is based on the methodology of protection from unwanted information distributed across social network systems. …”
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A Global Attention Mechanism-Based EfficientNet Model for Road Pavement-Type Identification by Zhe-Yuan Ni, Jun-Cheng Wang

“…To address the challenges posed by complex texture variations and surface modifications across road pavements, in this study, an enhanced method for pavement-type identification is proposed. …”
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An Adaptive Vehicle Stability Enhancement Controller Based on Tire Cornering Stiffness Adaptations by Jianbo Feng, Zepeng Gao, Bingying Guo

“…Leveraging this estimation, an adaptive sliding mode controller (ASMC) is proposed in the upper layer, where a novel self-tuning mechanism adjusts control parameters based on tire saturation levels and cornering stiffness variation trends. The lower-layer controller employs a weighted least squares allocation method to distribute control efforts while respecting physical and friction constraints. …”
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Assessing pre-service science teachers’ understanding of the nature of scientific inquiry to develop a sustainable technology-infused pedagogical program in teacher education by Wacharaporn Khaokhajorn, Niwat Srisawasdi

“…Findings revealed significant variations in NOSI understanding within the themes of question, method, and conclusion, with most PSTs displaying mixed understandings, indicating partial comprehension. …”
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ANALISIS LITERATUR TERKINI TENTANG INOVASI MANAJEMEN DALAM EKONOMI DIGITAL: IMPLIKASI DAN TREN GLOBAL by Muhammad Hendra, Loso Judijanto, Eka Suci Apriliyani, Mirza A Malik, Muhammad Sukron Fauzi

“…This research is a literature review, a systematic method for evaluating, synthesizing, and analyzing existing literature on a particular topic. …”
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Structures Dynamic Property Analysis of Elastic Composite Cylindrical Rolling Element by Yao Qishui, Chen Qianxu, Yu Jianghong, Yang Wen

“…Finally, adopting the decay method, the damping ratio of elastic composite cylindrical rolling element, under different structural parameters and external loads, is calculated. …”
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Development of several machine learning based models for determination of small molecule pharmaceutical solubility in binary solvents at different temperatures by Mohammed Alqarni, Ali Alqarni

“…Given the complex, non-linear patterns in solubility behavior, three advanced regression approaches were utilized: Polynomial Curve Fitting, a Bayesian-based Neural Network (BNN), and the Neural Oblivious Decision Ensemble (NODE) method. To optimize model performance, hyperparameters were fine-tuned using the Stochastic Fractal Search (SFS) algorithm. …”
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MIMO Control Architectures for Secondary Voltage Regulation in Electrically Coupled Transmission Grids: Design and Dynamic Performance by Andrea Vicenzutti, Fabio Marzolla, Massimiliano Chiandone, Salvatore Tessitore, Cosimo Pisani, Giorgio M. Giannuzzi, Giorgio Sulligoi

“…Specifically, the Decoupling control method and the Linear Quadratic Regulator with Integral action control method are applied to the secondary voltage regulation of the Italian transmission system. …”
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Generative AI-Enhanced Cybersecurity Framework for Enterprise Data Privacy Management by Geeta Sandeep Nadella, Santosh Reddy Addula, Akhila Reddy Yadulla, Guna Sekhar Sajja, Mohan Meesala, Mohan Harish Maturi, Karthik Meduri, Hari Gonaygunta

“…By leveraging Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and traditional anomaly detection methods, the framework generates synthetic datasets that mimic real-world data, ensuring privacy and regulatory compliance. …”
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Optical Signal Investigation of Monolayer MoS2 Grown Via Glass-Assisted CVD On Patterned Surfaces by Aydan Yeltik

“…In this study, we present variations in PL and Raman signals of single-layer MoS2 flakes grown conformally using the glass-assisted CVD method on square-patterned surfaces with varying well depths. …”
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A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

“…This study proposes a Transductive Zero-Shot Learning (TZSL) model based on the Vector Quantized Variational Autoencoder (VQ-VAE) architecture, integrated with a malware knowledge graph constructed from sandbox behavioral analysis of ransomware families. …”
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Dataset Construction Using Item Response Theory for Educational Machine Learning Competitions by Takeaki Sakabe, Yuko Sakurai, Emiko Tsutsumi, Satoshi Oyama

“…Machine learning has been integrated into numerous applications and has emerged as one of the most transformative technologies in our daily lives. …”
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Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks by Mohamed Fathallah, Sherif Eletriby, Maazen Alsabaan, Mohamed I. Ibrahem, Gamal Farok

“…This paper presents a novel framework for 3D face reconstruction from single 2D images and addresses critical limitations in existing methods. Our approach integrates modified adversarial neural networks with graph neural networks to achieve state-of-the-art performance. …”
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