HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units by Xiaorui Yang, Rui Li, Jing Xia, Junhao Wang, Hongyan Li, Nixiao Zou

“…To validate the model, we developed a population prediction model that integrates the multi-scale features of PAUs and introduced Leiden-IES-PMS, a community detection method based on the Leiden algorithm, which integrates internal and external environmental semantics and adopts a proximity merging strategy. …”
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DNA damage response signatures are associated with frontline chemotherapy response and routes of tumor evolution in extensive stage small cell lung cancer by Benjamin B. Morris, Simon Heeke, Yuanxin Xi, Lixia Diao, Qi Wang, Pedro Rocha, Edurne Arriola, Myung Chang Lee, Darren R. Tyson, Kyle Concannon, Kavya Ramkumar, C. Allison Stewart, Robert J. Cardnell, Runsheng Wang, Vito Quaranta, Jing Wang, John V. Heymach, Barzin Y. Nabet, David S. Shames, Carl M. Gay, Lauren A. Byers

“…While most SCLCs respond to frontline therapy, resistance inevitably develops. Identifying phenotypes potentiating chemoresistance and immune evasion is a crucial unmet need. …”
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Differentiation of apical and basal dendrites in pyramidal cells and granule cells in dissociated hippocampal cultures. by You Kure Wu, Kazuto Fujishima, Mineko Kengaku

“…Hippocampal pyramidal cells and dentate granule cells develop morphologically distinct dendritic arbors, yet also share some common features. …”
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Automatic melanoma and non-melanoma skin cancer diagnosis using advanced adaptive fine-tuned convolution neural networks by Muhammad Amir Khan, Tehseen Mazhar, Muhammad Danish Ali, Umar Farooq Khattak, Tariq Shahzad, Mamoon M. Saeed, Habib Hamam

“…This unsupervised technique enables the mining of discriminative features from the skin cancer images, effectively mitigating overfitting concerns and letting the model adjust structural features of skin cancer images, facilitating effective detection of skin cancer features. …”
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Polysemy of Agentive Suffixes in Slavic: Toward a Cognitive Semantic Analysis by Anastasija Andrejevna Andrejeva

“…This article analyses the polysemy of agent noun suffixes in six Slavic languages (Russian, Ukrainian, Polish, Czech, Serbian, and Slovenian) by using the “metonymic” approach to word formation developed by Laura Janda (2011). It discusses the semantic features of verbs that agentive suffixes can be attached to, and it describes the semantic types represented by the derived nouns. …”
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Multimodal AI model for preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images by Doohyun Park, Yong-Moon Lee, Taejoon Eo, Hee Jung An, Haeyoun Kang, Eunhyang Park, Yoon Jin Cha, Heejung Park, Dohee Kwon, Sun Young Kwon, Hye-Ra Jung, Su-Jin Shin, Hyunjin Park, Yangkyu Lee, Sanghui Park, Ji Min Kim, Sung-Eun Choi, Nam Hoon Cho, Dosik Hwang

“…Abstract In breast cancer management, predicting axillary lymph node (ALN) metastasis using whole-slide images (WSIs) of primary tumor biopsies is a challenging and underexplored task for pathologists. We developed METACANS, an multimodal artificial intelligence (AI) model that integrates WSIs with clinicopathological features to predict ALN metastasis. …”
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Visualizing melody with multiple acoustic and tagging values using the visualization module of the Oralstats tool by Adrián Cabedo Nebot

“… This paper presents a way to visualize pitch patterns combiningmacoustic features (F0, intensity or duration) with other variables, like a basic notation on ToBI (Tone and Break Indices) or the projection of acoustic transformations, following MAS (Melodic Analysis of Speech) model. …”
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Identification of the Casparian strip integrity factor (CIF) gene family in Brassica napus and functional prediction of mature CIF small peptides by Miao Cheng, Hanbing Hu, Rui Chen, Ling He, Shanshan Wang, Yuling Zheng, Jiten Yadav, Hosam O. Elansary, Nisha Jaswal, Deepak Bhanot, Changli Zeng, Xiaoyun Liu

“…Abstract Background Small peptides of the CIF family act as signaling molecules and participate in important signaling pathways, playing crucial roles in the processes of plant development and the environmental response. However, the CIF family has not been identified in the allopolyploid Brassica napus. …”
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Positive Psychotherapy in action: the “DYNAMICS” method for formulating basic conflicts by Ali Eryilmaz

“…The conflicts between the concepts developed by the clients form the basis of the basic conflict. …”
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MACHINE LEARNING TECHNIQUES FOR RETINOPATHY DETECTION IN DIABETIC PATIENTS by Ajay Kushwaha, Ahankari Sachin Suresh, Chennoju Phanindra, Anil Kumar Sahu, Devanand Bhonsle, Yamini Chouhan

“…The core technology involves deep learning algorithms, particularly Convolutional Neural Networks (CNNs), which are designed to identify complex patterns and features within retinal images. These algorithms are trained on extensive datasets of retinal images, allowing them to learn the subtle signs of diabetic retinopathy, such as microaneurysms, hemorrhages, and other vascular anomalies.…”
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Revealing heterogeneity in mild cognitive impairment based on individualized structural covariance network by Xiaotong Wei, Ronglong Xiong, Ping Xu, Tingting Zhang, Junjun Zhang, Zhenlan Jin, Ling Li

“…Significant differences between two subtypes were found in clinical cognition and biomarkers, cerebral atrophy patterns, and enriched genes for metal ion transport and neuron projection development. …”
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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

“…In this paper, for <i>Suaeda salsa</i>, which is a weak target with a sparse distribution and inconspicuous features, relying on the high-resolution and spatial information-rich features of UAV imagery, we establish an adaptive contextual information extraction deep learning semantic segment model (ACI-Unet), which can solve the problem of recognizing <i>Suaeda salsa</i> from high-precision UAV imagery. …”
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AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro by Valeria Maeda-Gutiérrez, Juan José Oropeza-Valdez, Luis C. Reveles-Gómez, Cristian Padron-Manrique, Osbaldo Resendis-Antonio, Luis Octavio Solís-Sánchez, Hector A. Guerrero-Osuna, Carlos Alberto Olvera Olvera

“…The proposed models significantly improve the ability to recognize complex patterns and features, achieving high accuracy and robust performance in disease classification. …”
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Investigation on the motion and fragmentation mechanism of rockfall based on PIV-seismic signal monitoring by Sui Zhende, Zhang Ke, Zhang Kai, Lin Qibin

“…Consequently, in subsequent optimization design of engineering protection structures, greater attention should be paid to the effects of particle size distribution resulting from rockfall fragmentation and the patterns governing high-frequency energy release. This necessitates strengthening research and development on devices specifically aimed at absorbing and dissipating high-frequency energy to ensure enhanced safety and reliability of the protective system in practical applications.ConclusionsParticle Image Velocimetry (PIV) successfully reconstructs the complex movement trajectories and velocity fields of rock blocks during collapse, highlighting the distinct non-linear dynamic behaviors (e.g., sliding, rolling, bouncing) of fragments, particularly smaller ones. …”
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T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging by Changjin Yuan, Bin Wang, Hong Wang, Fang Wang, Xiangze Li, Ya’nan Zhen

“…Multi-layer machine learning-based diagnostic models were developed by leveraging motif-based feature and deep learning-based feature extraction using ProteinBERT from the 100 most abundant CDR3 sequences per sample. …”
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Dependence on ultra-high doses of gabapentinoids: A case series by Arun Bansal, Bhavneesh Saini, Harman Rai, Jaskanwar S. Dhillon, Priyanka Bansal, Sumit Saini

“…Presenting patterns included use for euphoria, self-medication, and anxiety relief. …”
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Linear-nonlinear cascades capture synaptic dynamics. by Julian Rossbroich, Daniel Trotter, John Beninger, Katalin Tóth, Richard Naud

“…This model can capture various experimentally observed features of synaptic dynamics and different types of heteroskedasticity. …”
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Quality of life on climacteric nursing professionals by Thamyres Campos Fonsêca, Mariana Nepomuceno Giron, Lina Márcia Miguéis Berardinelli, Lucia Helena Garcia Penna

“… The climacteric has some unique features, especially related to body function, where women experience changes of several orders in this period of life, then, it is important to study the quality of life of nursing professionals. …”
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Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

“…Temporal features were identified as crucial for detecting recurring behavioral trends and periodic exercise patterns.DiscussionThese findings demonstrate the efficacy of integrating multimodal life log data with deep learning for accurate physical activity classification. …”
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Empirical Study of Differentiated Learning Using The Moodle Platform on Personalized Informatics Subjects in Vocational High Schools by Jajang Kusnendar, Deni Darmawan, Rusman Rusman, Indriyani Rachman

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