Comparative Proteomic and Phosphoproteomic Analyses Reveal Molecular Signatures of Myocardial Infarction and Transverse Aortic Constriction in Aged Mouse Models by Fang Lin, Yue Ding, Xiaoting Liang

“…Understanding the molecular mechanisms underlying hypertension and CHD in aged populations is crucial for developing targeted therapies and improving clinical outcomes. …”
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Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…This improvement is attributed to RFST's ability to effectively identify and utilize key textual features. In comparison, the baseline RFC and GRO-optimized Random Forest (RFGR) models achieve accuracies of 0.932 and 0.935, respectively, highlighting their limitations in capturing the intricate linguistic patterns associated with readability. …”
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Short-Term Energy Consumption Forecasting Analysis Using Different Optimization and Activation Functions with Deep Learning Models by Mehmet Tahir Ucar, Asim Kaygusuz

“…Regression methods, machine learning, and deep learning methods are used to learn different patterns from data and develop a consumption prediction model. …”
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Two Novel Multidimensional Data Analysis Approaches Using InSAR Products for Landslide Prone Areas by Hamit Beran Gunce, Bekir Taner San

“…Overall, the integration of InSAR with statistical and multidimensional analysis significantly enhances the detection and interpretation of ground deformation patterns in landslide-prone areas.…”
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Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistica... by Alexey Unagaev, Irina Korotkova, Natalia Efremova

“…Currently, methods for mapping agricultural crops have been predominantly developed for a number of the most important and popular crops. …”
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Research on Methods for the Recognition of Ship Lights and the Autonomous Determination of the Types of Approaching Vessels by Xiangyu Gao, Yuelin Zhao

“…Secondly, 23 spatio-semantic feature indicators are established to encode ship light patterns, and a multi-viewing angle dataset is constructed. …”
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Comparatively analyzed quality of life in patients with atypical endometrial hyperplasia and endometrial cancer during various rehabilitation activities by L. N. Sandzhieva, A. G. Solopova, D. V. Blinov, V. N. Galkin, E. E. Achkasov

“…"passive" rehabilitation group were significantly higher as early as 3 months after the onset, with similar pattern observed at 6 and 12 months (p < 0.05).Conclusion. …”
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A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning by Dennis Zanutto, Christos Michalopoulos, Georgios-Alexandros Chatzistefanou, Lydia Vamvakeridou-Lyroudia, Lydia Tsiami, Konstantinos Glynis, Panagiotis Samartzis, Luca Hermes, Fabian Hinder, Jonas Vaquet, Valerie Vaquet, Demetrios Eliades, Marios Polycarpou, Phoebe Koundouri, Barbara Hammer, Dragan Savić

“…The water demand trajectory over a week exhibits complex overlapping patterns and non-linear dependencies to multiple features and time-dependent events that a single model cannot accurately predict. …”
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A spatiotemporal model for urban taxi Origin–Destination prediction based on Multi-hop GCN and Hierarchical LSTM by Jiang Rong, Wangtu Xu, Yanjie Wen

“…Specially, DBSTNet models pick-up and drop-off patterns via transposed OD matrices and employs 2 independent branches to separately capture spatial–temporal features. …”
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The effective landscape design parameters with high reflective hardscapes: guidelines for optimizing human thermal comfort in outdoor spaces by design -a case on hot arid climate w... by Reham A. Abdelwahab, Ahmed A. Fekry, Reham El-Dessuky Hamed

“…These results highlight the importance of balancing hardscape and softscape areas, integrating vegetation and water features, and utilizing light-colored materials in dispersed patterns. …”
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Full-length ribosome density prediction by a multi-input and multi-output model. by Tingzhong Tian, Shuya Li, Peng Lang, Dan Zhao, Jianyang Zeng

“…Most of the existing computational approaches for modeling translation elongation from ribosome profiling data mainly focus on local contextual patterns, while ignoring the continuity of the elongation process and relations between ribosome densities of remote codons. …”
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Unveiling a novel model of cell senescence-related genes for prognostic assessment and immunotherapeutic insights in gastric cancer by Gang Wang, Yi Wang, Yanyi Xiao, Zhe Lin

“…The mRNA expression patterns, gene mutations, and clinical information of STAD were obtained from the cancer genome atlas (TCGA) and gene expression omnibus (GEO). …”
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Environmental Responsibility, Active Social Learning, and Political Action by David Hayes

“…Links will be made throughout between environmental issues, economic development and social and environmental justice. Another key feature of Green Criminology is the way in which it seeks to align with environmental activism, and an account will be given here of ethnographic research into a contemporary environmental protest movement, the 'anti-fracking' movement. …”
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Environmental Responsibility, Active Social Learning, and Political Action by David Hayes

“…Links will be made throughout between environmental issues, economic development and social and environmental justice. Another key feature of Green Criminology is the way in which it seeks to align with environmental activism, and an account will be given here of ethnographic research into a contemporary environmental protest movement, the 'anti-fracking' movement. …”
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A hybrid fusion of wireless signals and RGB image for indoor positioning by Jichao Jiao, Fei Li, Weihua Tang, Zhongliang Deng, Jichang Cao

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A novel approach in diagnosing knee osteoarthritis for content based image retrieval in big data analytics and medical images by Pinar Gundogan Bozdag, Hurşit Burak Mutlu, Mucahit Karaduman, Muhammed Yildirim, M. Attique Khan, Shrooq Alsenan, Jamel Baili, Yunyoung Nam

“…In the proposed method, feature extraction was performed using DarkNet53, Histogram of Oriented Gradients (HOG), and Local Binary Patterns (LBP). …”
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The linguistic foundations of the mediatization of communities in digital culture by Gábor Szécsi

“…As this study tries to highlight, this process involves a convergence of language use patterns between different communities in the sense of the convergence of imagery as a feature of electronic communication. …”
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Exploiting β‐Lactams‐Induced Lysis and DNA Fragmentation for Rapid Molecular Antimicrobial Susceptibility Testing of Neisseria Gonorrhoeae via Dual‐Digital PCR by Jiumei Hu, Liben Chen, Pengfei Zhang, Fan‐En Chen, Hui Li, Kuangwen Hsieh, Sixuan Li, Johan H. Melendez, Tza‐Huei Wang

“…Distinct patterns of bacterial lysis and DNA fragmentation are uncovered in susceptible strains. …”
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Harnessing evanescent photoacoustic waves for multi-domain imaging by Rong Zhou, Liying Zhang, Beibei Li, Jingtao Xiao, Yiheng Xing, Chang Chen, Yuecheng Shen, Hao Shen, Deng Pan, Hongxing Xu

“…These SA-PA signals exhibit distinct characteristics, including dependence of intensity on the source depths and symmetry in far-field angular patterns. Leveraging these features, we develop a proof-of-concept for supercritical angle photoacoustic microscopy (SA-PAM), which utilizes evanescent PA waves to enable new PAM functionalities, such as surface topography reconstruction and edge detection. …”
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Machine learning-guided field site selection for river classification by Zhihao Wang, Gregory Brian Pasternack, Yufang Jin, Costanza Rampini, Serena Alexander, Nikhil Kumar, Rune Storesund, K. Martin Perales, Christopher Lim, Stephanie Moreno, Igor Lacan

“…Results revealed clear differences in variable distributions between the 148 high‐certainty sites and the 51 high‐uncertainty sites, a pattern that was validated by our field surveys. Furthermore, the 41 newly identified high‐uncertainty sites were found under-represented in the initial surveyed sites and thus their selection for the next round of field surveys will help fill the important feature gaps left by the initial survey. …”
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