Utility of a Large Series of B‐Cell Precursor Acute Lymphoblastic Leukemia Cell Lines as a Model System by Minori Tamai, Chiaki Komatsu, Keiko Kagami, Shin Kasai, Koshi Akahane, Kumiko Goi, Kanji Sugita, Chihiro Tomoyasu, Toshihiko Imamura, Hiroaki Goto, Takeshi Inukai

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Pore Structure and Its Controlling Factors of Cambrian Highly Over-Mature Marine Shales in the Upper Yangtze Block, SW China by Dadong Liu, Mingyang Xu, Hui Chen, Yi Chen, Xia Feng, Zhenxue Jiang, Qingqing Fan, Li Liu, Wei Du

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Correlations and functional connections in a population of grid cells. by Benjamin Dunn, Maria Mørreaunet, Yasser Roudi

“…Taken together, our results suggest that grid cells in the same module do indeed form a local network of interconnected neurons with a functional connectivity that supports a role for attractor dynamics in the generation of grid pattern.…”
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Enhanced Skin Lesion Classification Using Deep Learning, Integrating with Sequential Data Analysis: A Multiclass Approach by Azmath Mubeen, Uma N. Dulhare

“…Additionally, Markov random fields (MRFs) enhance pattern recognition. The integrated system classifies lesions and evaluates whether they are responding to treatment or worsening, achieving 93% accuracy in distinguishing nodules, melanoma, and basal cell carcinoma. …”
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MPFM-VC: A Voice Conversion Algorithm Based on Multi-Dimensional Perception Flow Matching by Yanze Wang, Xuming Han, Shuai Lv, Ting Zhou, Yali Chu

“…Voice conversion (VC) is an advanced technology that enables the transformation of raw speech into high-quality audio resembling the target speaker’s voice while preserving the original linguistic content and prosodic patterns. In this study, we propose a voice conversion algorithm, Multi-Dimensional Perception Flow Matching (MPFM-VC). …”
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Calibration of Low-cost Gas Sensors for Air Quality Monitoring by Dimitris Margaritis, Christos Keramydas, Ioannis Papachristos, Dimitra Lambropoulou

“…Abstract Mobile monitoring devices equipped with low-cost gas sensors in fixed stations are an emerging solution to enhance the spatial coverage of air quality monitoring networks. We estimated the measurement accuracy of two AQMesh devices, evaluated their agreement, and examined the related calibration characteristics. …”
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Metaphors in the dictionary of German football language by R. V. Beliutin

“…The status of metaphors in the German football language and their firm position in this communicative space are distinguished through an outstanding network of synonymous constructions and variations, multifarious word-building patterns (mainly compounding) in developing new metaphoric units. …”
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Multi-dimensional water quality indicators forecasting from IoT sensors: A tensor decomposition and multi-head self-attention mechanism. by Li Bo, Lv Junrui, Luo Xuegang

“…To overcome these limitations, we propose TGMHA (Tensor Decomposition and Gated Neural Network with Multi-Head Self-Attention), a novel hybrid model that integrates three key innovations: 1) Tensor-based Feature Extraction: We combine Standard Delay Embedding Transformation (SDET) with Tucker tensor decomposition to reconstruct raw time series into low-rank tensor representations, capturing latent spatio-temporal patterns while suppressing sensor noise. 2) Multi-Head Self-Attention for Inter-Indicator Dependencies: A multi-head self-attention mechanism explicitly models complex inter-dependencies among diverse water quality indicators (e.g., pH, dissolved oxygen, conductivity) via parallel feature subspace learning. 3) Efficient Long-Term Dependency Modeling: An encoder-decoder architecture with gated recurrent units (GRUs), optimized by adaptive rank selection, ensures efficient modeling of long-term dependencies without compromising computational performance. …”
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Research on deep learning model for stock prediction by integrating frequency domain and time series features by Wenjie Sun, Jianhua Mei, Shengrui Liu, Chunhong Yuan, Jiaxuan Zhao

“…Most existing models can only process single temporal features, failing to capture multi-scale temporal patterns and latent cyclical components embedded in price fluctuations, while also neglecting the interactions between different stocks–resulting in predictions that lack accuracy and stability. …”
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Osteoporosis: a problem still faulty addressed by the Romanian healthcare system. Results of a questionnaire survey of people aged 40 years and over by Narcisa Jianu, Narcisa Jianu, Narcisa Jianu, Valentina Oana Buda, Valentina Oana Buda, Denisa Căpățână, Călin Muntean, Teodor Nicolae Onea, Maria Anastasia Jivulescu, Ana Teodor, Ana Teodor, Mirabela Romanescu, Mirabela Romanescu, Lucreția Udrescu, Lucreția Udrescu, Vlad Groza, Mihai Udrescu, Alina Ramona Buzatu, Cristina Adriana Dehelean, Cristina Adriana Dehelean, Minodora Andor, Minodora Andor

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A Multimodel Decision Fusion Method Based on DCNN-IDST for Fault Diagnosis of Rolling Bearing by Weixiao Xu, Luyang Jing, Jiwen Tan, Lianchen Dou

“…To evaluate the effectiveness of the proposed method, both the BP neural network and RBF neural network are used to set up a multigroup comparison test. …”
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Cancer Stem Cell Signaling during Repopulation in Head and Neck Cancer by George D. Wilson, Bryan J. Thibodeau, Laura E. Fortier, Barbara L. Pruetz, Sandra Galoforo, Brian Marples, Andrew M. Baschnagel, Jan Akervall, Jiayi Huang

“…A clear pattern emerged that was consistent with the growth inhibition data in that genes associated with stem cell pathways were most active at day 7 and day 12 after irradiation. …”
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Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

“…Then, every node gathers information about the local routing and contributes towards an inclusive model, which captures behaviour of the entire network when conserving its specific privacy. Further, the Hierarchical Deep Belief Network Convolutional Neural Network (HDBNCNN) algorithm has analysed the accumulated data in detecting the anomalies revealing the sinkhole activity centred on learning routing patterns. …”
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Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines by Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang

“…The study also systematically identified the essential and pattern characteristics of the dust time series data and utilized the variational mode decomposition (VMD) with Golden Jackal Optimization (GJO) to decompose the original dust concentration data. …”
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Multi-scale spatial differentiation and formation mechanisms of rural settlements (RS): a Geodetector-based analysis in the middle-lower yellow river basin (ML-YRB), China by Xiaoping Zhang, Xiaoping Zhang, Lu Yu, Xin Wen, Lijing Li, Huabin Xiao, Xunxi Yin

“…Using nearest neighbor analysis, kernel density estimation and spatial autocorrelation, the study systematically reveals the spatial distribution patterns and scale-dependent differences of RS in ML-YRB at city, county, and town scales. …”
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Spatial optimization of hierarchical healthcare facilities driven by multi-source data: a case study of Shenyang, China by Yifei Wang, Duanqiang Zhai, Duanqiang Zhai, Wuqi Xie, Shan Huang

“…Through kernel density estimation, bivariate spatial autocorrelation, and service area network analysis, the spatial distribution and accessibility patterns of healthcare facilities across tertiary, secondary, and primary levels are comprehensively evaluated. …”
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Intelligent Classifier for Identifying and Managing Sheep and Goat Faces Using Deep Learning by Chandra Shekhar Yadav, Antonio Augusto Teixeira Peixoto, Luis Alberto Linhares Rufino, Aedo Braga Silveira, Auzuir Ripardo de Alexandria

“…The aim of this work is to automatically identify individual sheep or goats based on their physical characteristics including muzzle pattern, coat pattern, or ear pattern. The proposed intelligent classifier was built on the Roboflow platform using the YOLOv8 model, trained with 35,204 images. …”
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Theoretical Study and Application of Rate Transient Analysis on Complex Fractured-Caved Carbonate Reservoirs by Qingyan Yu, Qi Wang, Pengcheng Liu, Jing Zhang, Qi Zhang, Xiaojuan Deng, Kai Feng

“…However, traditional seepage equations cannot accurately characterize the flow pattern of fractured-caved carbonate reservoirs. In the case of a single large-scale dissolved fractured-caved reservoir, oil wells are usually connected to large caves through large fractures or directly drilled into large dissolved caves. …”
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Handwritten Geez Digit Recognition Using Deep Learning by Mukerem Ali Nur, Mesfin Abebe, Rajesh Sharma Rajendran

“…Convolutional neural network (CNN) is preferable for pattern recognition like in handwritten document recognition by extracting a feature from different styles of writing. …”
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Unpacking Performance Variability in Deep Reinforcement Learning: The Role of Observation Space Divergence by Sooyoung Jang, Ahyun Lee

“…This pattern persisted even when agents started with identical network weights. …”
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