Dynamical Systems with Fractional Derivatives: Focus on Phase Portraits and Plasma Wave Propagation Using Lakshmanan–Porsezian–Daniel Model by Abdul Ghaffar Khan, Muhammad Muddassar, Sultan Shoaib, Zia Ur Rehman, Muhammad Zahid

“…In addition, our study also investigates the correspondence between non-linearity, multi-stability, and the birth of complex structures such as solitons and kink waves. The solutions of the dynamical system produced by the proposed nonlinear model generate different patterns of response based on system parameter variation. …”
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Improving Mental Health and Well-Being Through the Paradym App: Quantitative Study of Real-World Data by Athina Marina Metaxa, Shaun Liverpool, Mia Eisenstadt, John Pollard, Courtney Carlsson

“…There is also a dearth of research on well-being apps structured around users’ lived experiences and emotional patterns and a lack of integration of real-world evidence of app usage. …”
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Morphological analysis and functional connectivity of the insular in patients with dysphagia after cerebral infarction based on resting-state fMRI by Ming Guo, Bingjie Li, Jun Zhao, Chen Bai, Weiyong Yu, Hongxia Zhang, Haoyuan Li, Yongxue Yuan, Qingsu Zhang, Tong Zhang

“…However, the mechanisms underlying its structural and functional network reorganization remain elusive. …”
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PhishingGNN: Phishing Email Detection Using Graph Attention Networks and Transformer-Based Feature Extraction by Mejdl Safran, Abdulbaset Musleh

“…Phishing emails remain a critical cybersecurity challenge, demanding detection frameworks that capture both textual semantics and structural relationships in email data. This study introduces PhishingGNN, a hybrid model that integrates DistilBERT for context-aware text analysis with Graph Attention Networks (GAT) to model email metadata and content as graph structures, detecting subtle phishing patterns overlooked by traditional methods. …”
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Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning by Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu

“…By merging data-driven learning with simulation-informed constraints, our approach enhances both predictive accuracy and interpretability. Empirical evaluations across diverse benchmark datasets validate the effectiveness of our framework, demonstrating its robustness, scalability, and ability to uncover meaningful temporal patterns in complex time series data.…”
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Dual-Path Adversarial Denoising Network Based on UNet by Jinchi Yu, Yu Zhou, Mingchen Sun, Dadong Wang

“…The generator creates synthetic noise patterns to augment training data, while the dual-path-UNet denoiser uses multiple receptive field modules to preserve fine details and dense feature fusion to maintain global structural integrity. …”
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Research progress on effects of CO2 injection on formations during geological storage by WANG Zhanpeng, LIU Shuangxing, LIU Qi, YANG Shugang, ZHANG Min, XIAN Chenggang, WENG Yibin

“…Major current issues in research were identified, including the unpredictability of pressure change patterns, unclear reaction mechanisms, low injection efficiency, and incomplete monitoring and evaluation frameworks. …”
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The spatial correlation network evolution and influencing factors of industrial carbon emission efficiency in China by Zeni Wang, Xinmei Wang, Zhipeng Fan, Ciran Feng, Xiaoling Qiu, Wei He

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Atrophy related neuroimaging biomarkers for neurological and cognitive function in Wilson disease by Ann Carolin Hausmann, Christian Rubbert, Silja K. Querbach, Vivien Lorena Ivan, Alfons Schnitzler, Christian Johannes Hartmann, Julian Caspers

“…Methods In this study, 30 WD patients and 30 age- and sex-matched healthy controls were enrolled prospectively and underwent structural magnetic resonance imaging (MRI). Regional atrophy was evaluated using established linear radiological measurements and the automated workflow volumetric estimation of gross atrophy and brain age longitudinally (veganbagel) for age- and sex-specific estimations of regional brain volume changes. …”
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Argumentative Scheme for Abduction by A. S. Bobrova

“…Argumentation schemes are seen as stereotypical patterns of common types of arguments used in everyday discourse. …”
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Clinicomicrobiological Profile, Antibiotic Resistance Trends and Radiological Association in Paediatric Urinary Tract Infections: A Prospective Observational Study by Krunal Dipakbhai Rana, Pankaj Abrol, Parveen Kumar Antil, Vaishali Pratik Jariwala

“…These findings underscore the importance of tailored empirical therapy based on local resistance patterns and support the routine use of imaging in evaluating paediatric UTIs.…”
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Assessment on drag force distribution of a semi-submersible truss fish cage in currents by Hang-Fei Liu, Xiaohua Huang, Guoliang Pang, Gen Li, Taiping Yuan, Yu Hu, Qiyou Tao, Qiyou Tao

“…Assessing the current forces exerted on a semi-submersible truss fish cage is crucial for understanding drag force distribution and ensuring the structural safety. The present study employs computational fluid dynamics (CFD) methods and porous media theory to predict the drag forces on a semi-submersible truss fish cage, providing a detailed description of the magnitude and distribution patterns of drag forces on the plane nets, pontoons, columns, and braces. …”
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Building Distribution and Spatial Constraints from Perspectives of Tsunami Inundation at a Small Island Context: A Study Case of Sabang-Aceh, 20 Years after the 2004 Aceh Tsunami by Syamsidik, Hayyan Ghifarry Armaya, Anawat Suppasri, Fahmi Aulia, Teuku Ahmad Dadek, Sufirmansyah, Muhammad Ichwan Reza, Muhammad Iqbal Khalis

“…Spatial analysis examined settlement patterns in relation to land capability and disaster mitigation requirements. …”
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Dynamic evolution characteristics and risk assessment of floor microseismic in close repeated mining by Jing JIA, Jinyan ZHOU, Qinghua NIU

“…Furthermore, it offers new perspectives for determining failure depth at bottom floors as well as evaluating water inrush risks while aiding in enhancing precision through microseismic monitoring for predicting coal mine floor water damages.…”
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Clinicoradiological profile of children presenting with global developmental delay and microcephaly by ShreyasT.S. Phayde, Suneel C. Mundkur, Rochelle A. Pereira, Leslie E. Lewis, Shrikiran A. Hebbar, Ramesh Bhat Y, Pushpa Kini, Karen J. Moras

“…Objective: To study the clinical and radiological profile of children with Global developmental delay and microcephaly and correlate the clinical findings with structural brain lesions identified through neuroimaging. …”
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Clinical innovation research model for fundus diseases: 6 elements, 3 ones by WEN Feng, ZHANG Xiongze, LI Miaoling, GAN Yuhong, SU Yongyue

“…By adhering to the "6 Elements" as the structural framework and implementing the "3 Ones" as the strategic pathway, we will continue to advance innovation and achieve breakthroughs in clinical fundus disease researches.…”
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Early Diabetic Retinopathy Detection from OCT Images Using Multifractal Analysis and Multi-Layer Perceptron Classification by Ahlem Aziz, Necmi Serkan Tezel, Seydi Kaçmaz, Youcef Attallah

“…With the evolution of medical imaging technologies, Optical Coherence Tomography (OCT) has emerged as a valuable modality for capturing high-resolution cross-sectional images of retinal structures. In parallel, machine learning has shown considerable promise in supporting early disease recognition by uncovering complex and often imperceptible patterns in image data. …”
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Effects of Different Varieties of Proso Millet (Panicum miliaceum L.) Flour on the Quality Characteristics of Crispy Cookies by Yue HU, Zhengzheng TIAN, Enhong GAO, Xiaoke CHANG, Shunshun LIN, Xiaoling TIAN, Mengqin LI

“…SEM analysis revealed that cookies produced from japonica millet flour had a looser structure compared to their glutinous counterparts. …”
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Extraction of <i>Suaeda salsa</i> from UAV Imagery Assisted by Adaptive Capture of Contextual Information by Ning Gao, Xinyuan Du, Min Yang, Xingtao Zhao, Erding Gao, Yixin Yang

“…The model accurately delineates fine-grained spatial distribution patterns of <i>Suaeda salsa</i>, outperforming existing approaches in capturing ecologically critical structural details.…”
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Imputasi Data Temperatur Maksimum Menggunakan Metode Support Vector Regression by Isa Kholifatus Sukhna, Brina Miftahurrohmah, Catur Wulandari, Putri Amelia

“…Model evaluation employs the metrics Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Coefficient of Determination (R²), presenting the evaluation results with low error. …”
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