A Comparative Study of Lesion-Centered and Severity-Based Approaches to Diabetic Retinopathy Classification: Improving Interpretability and Performance by Gang-Min Park, Ji-Hoon Moon, Ho-Gil Jung

“…Transfer learning from NMC to APTOS notably improved severity classification, achieving performance gains of 15.2% in mild cases and 66.3% in severe cases through feature fusion using Bidirectional Feature Pyramid Network (BiFPN) and Feature Pyramid Network (FPN). …”
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Research on hybrid strategy Particle Swarm Optimization algorithm and its applications by Jicheng Yao, Xiaonan Luo, Fang Li, Ji Li, Jundi Dou, Hongtai Luo

“…These findings establish HSPSO as an effective solution for complex optimization and feature selection tasks.…”
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Mapping gender networks of smartphone addiction and academic procrastination: a network analysis study by Lu Song, Zhilin Liu, Yujia Yang, Shuangshuang Yuan

“…In addition, within the SA-AP interaction network, the core feature of the male network is academic procrastination, reflecting deficiencies in time management and self-regulation. …”
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Cyber inevitability and privacy in the design of interior spaces by azal Muhammad Saeed, Rajaa Saadi Lafta

“…And because the close relationship between technology and civilization as a duality expresses the extent of the development and upgrading of society at the level of the individual’s environment in particular and the social environment in general, it is necessary to focus on the feature of technological spaces and its impact on the privacy of the civilization of contemporary society and its implications at the level of intellectual and applied patterns in interior design. …”
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Scleromyxedema concurrent with dermatomyositis and paraproteinemia: A case report by M. N. Starovoitova, O. V. Desinova, N. G. Guseva

“…There was no evidence for scleroderma systematica that was supposed to be present in the patient who had scleroderma-like skin involvement.The authors have repeatedly mentioned the concurrency pattern of scleroderma diseases, which reflects the close mechanisms of their development and hinders the identification of specific nosological entities. …”
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Identification of Cultural Landscapes and Spatial Distribution Characteristics in Traditional Villages of Three Gorges Reservoir Area by Jia Jiang, Zhiliang Yu, Ende Yang

“…Through field surveys, landscape feature assessments, GIS spatial analysis, and multi-source data analysis, we systematically analyse their cultural landscape type systems and spatial differentiation characteristics, and then reveal their cultural landscape types and spatial differentiation patterns. (1) The results of the study show that the spatial distribution of traditional villages exhibits significant altitude gradient differentiation—the low-altitude area is dominated by traffic and trade villages, the middle-altitude area is dominated by patriarchal manor villages and mountain farming villages, and the high-altitude area is dominated by ethno-cultural and ecologically dependent villages. (2) Slope and direction analyses further reveal that the gently sloping areas are conducive to the development of commercial and agricultural settlements, while the steeply sloping areas strengthen the function of ethnic and cultural defence. …”
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Self-organizing dynamic research based on phase coherence graph autoencoders: Analysis of brain metastable states across the lifespan by Hao Guo, Yu-Xuan Liu, Yao Li, Qi-Li Guo, Zhi-Peng Hao, Yan-Li Yang, Jing Wei

“…Metastable states play a crucial role in understanding the complex dynamical mechanisms of the brain, and analyzing them helps to reveal the mechanisms of functional changes in the brain throughout development and aging. Specifically, global metastable state provides a overall perspective on the flexibility of brain reorganization, while the evolution trajectories of transient functional patterns capture detailed changes in brain activity. …”
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Decoding Facial Dissymmetry: A Comparative Morphological Study on Human Skulls and Facial Structures by Marc Divaris, MD

“…Facial asymmetry is a constant feature among individuals and is influenced by complex embryological development processes. …”
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Breast Cancer in Adolescents and Young Adults Less Than 40 Years of Age in Nigeria: A Retrospective Analysis by Atara Ntekim, Mojisola Oluwasanu, Oluwaponmile Odukoya

“…This will inform the development of breast cancer care programs appropriate for this age group. …”
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Frontiers in microfinance research for small and medium enterprises (SMEs) and microfinance institutions (MFIs): a bibliometric analysis by Francis Lwesya, Adam Beni Swebe Mwakalobo

“…Topics related to COVID-19, Islamic social finance, microfinance institutions, credit scoring models, crowdfunding, and entrepreneurial finance are likely to feature in the domain of microfinance and sustainability of MFIs in future.…”
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Risk level prediction for problematic internet use: A digital health perspective by Youngjung Suh, Jinwon Yoo

“…In particular, we identified key predictive features such as physiological indicators, physical activity, sleep quality, and Internet usage patterns, and clearly elucidated the differences in the positive or negative impact of these key features on PIU detection at different severity levels. …”
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Promoting by Looking Into Friend Circles: An Inadequately-Labeled and Socially-Aware Financial Technique for Products Recommendation by Nan Su

“…Our approach uses a geometry-based feature selection strategy to accurately capture each user’s buying patterns, which are characterized by a range of features, including those learned under weak supervision. …”
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Prediction of microbe-drug associations using a CNN-Bernoulli random forest model by Zihao Song, Qingnuo Li, Jincheng Zhao, Qinggang Bu, Zekang Bian, Jia Qu

“…The model constructs feature vectors for all microbe-drug pairs based on known associations, microbe similarity, and drug similarity. …”
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Differential gray matter correlates and machine learning prediction of abuse and internalizing psychopathology in adolescent females by Sara A. Heyn, Taylor J. Keding, Josh Cisler, Katie McLaughlin, Ryan J. Herringa

“…Abstract Childhood abuse represents one of the most potent risk factors for the development of psychopathology during childhood, accounting for 30–60% of the risk for onset. …”
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Enhancing advanced cervical cell categorization with cluster-based intelligent systems by a novel integrated CNN approach with skip mechanisms and GAN-based augmentation by Gunjan Shandilya, Sheifali Gupta, Ahmad Almogren, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…By boosting feature propagation, this integration increases the model’s ability to recognize minute patterns in cervical cell images, hence increasing classification accuracy. …”
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Phenotypic plasticity evolves at multiple biological levels in response to environmental predictability in a long-term experiment with a halotolerant microalga. by Christelle Leung, Daphné Grulois, Leandro Quadrana, Luis-Miguel Chevin

“…Phenotypic plasticity, the change in the phenotype of a given genotype in response to its environment of development, is a ubiquitous feature of life, enabling organisms to cope with variation in their environment. …”
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Finite Mixture of the Hidden Markov Model for Driving Style Analysis by Lusa Ding, Ting Zhu, Yanli Wang, Yajie Zou

“…Analyzing driving style is useful for developing intelligent vehicles. Previous studies usually consider the statistical features (e.g., the means and standard deviations of brake pressure) of the measured driving data or manually define the number of patterns divided by behavior semantics to characterize driving styles. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…Fast data analysis based on hidden patterns is one of the main issues for adaptive artificial intelligence systems development. …”
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Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus by Marco Tjakra, Kristína Lidayová, Christophe Avenel, Christel A.S. Bergström, Shakhawath Hossain

“…This study presents a machine-learning-driven framework that integrates microrheological features into diffusional fingerprinting to characterize nano- and micro-scale particle diffusion patterns in mucus and assess the effect of mucus microrheology on such movements. …”
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An enhanced integrated fuzzy logic-based deep learning techniques (EIFL-DL) for the recommendation system on industrial applications by Yasir Rafique, Jue Wu, Abdul Wahab Muzaffar, Bilal Rafique

“…Deep learning techniques, on the other hand, excel at extracting complex patterns and features from large-scale data. By integrating fuzzy logic with deep learning, the EIFL-DL framework harnesses the strengths of both approaches to overcome the limitations of traditional RSs. …”
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