Synthesis of multicolored photoluminescent carbon nanodots and applications to secured tags in anti-counterfeiting, traceability and digital passport product by Aïssatou Coumba Sow, Etienne Palleau, Isabelle Fabre–Francke, Nicolas Ratel-Ramond, Cécile Marcelot, Laurence Ressier

“…The surface is then structured into the shape of patterns of interest by means of a technique derive from UV microprinting. …”
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Explainable Artificial Intelligence for predicting the compressive strength of soil and ground granulated blast furnace slag mixtures by Ahmed Mohammed Awad Mohammed, Omayma Husain, Muyideen Abdulkareem, Nor Zurairahetty Mohd Yunus, Nadiah Jamaludin, Elamin Mutaz, Hashim Elshafie, Mosab Hamdan

“…A database of 200 samples was compiled from the literature, and six ML models—linear regression, decision trees, random forest, artificial neural networks, gradient boosting, and extreme gradient boosting were developed and evaluated. The study highlights the performance of these models and employs SHAP and LIME analysis to evaluate feature importance. …”
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Machine learning identification of a novel vasculogenic mimicry-related signature and FOXM1’s role in promoting vasculogenic mimicry in clear cell renal cell carcinoma by Chao Xu, Sujing Zhang, Jingwei Lv, Yilong Cao, Yao Chen, Hao Sun, Shengtao Dai, Bowei Zhang, Meng Zhu, Yuepeng Liu, Junfei Gu

“…Results: We examined VRG mutation and expression patterns in ccRCC at the gene level, identifying two distinct molecular clusters. …”
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Inflammation and platelet hyperresponsiveness in coronary artery disease and the influence of Talin-1/αIIbβ3-mediated bidirectional signaling pathway by Shengnan Shi, Jiaming Gao, Yehao Zhang, Min Zhan, Zhanfei Tan, Peili Wang, Jianhua Fu, Jianxun Liu

“…Through systematic bioinformatics analysis of differential gene expression patterns and pathway activation in CHD patients, this study aims to elucidate key molecular regulators of platelet hyperactivity, establishing a theoretical framework for developing precision therapeutic strategies to mitigate post-CHD complications.MethodsThis randomized controlled study included 16 CHD patients and 16 healthy controls. …”
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Socioeconomic status and lifestyle as factors of multimorbidity among older adults in China: results from the China Health and Retirement Longitudinal Survey by Wei Gong, Wei Gong, Wei Gong, Xiaoxiao Hu, Huimin Cui, Huimin Cui, Yuxin Zhao, Yuxin Zhao, Hong Lin, Hong Lin, Hong Lin, Peng Sun, Peng Sun, Jianjun Yang, Jianjun Yang

“…A total of 34,755 participants were included, and 17 features related to demographics, SES, and lifestyle were selected via LASSO regression. …”
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A two phase ensembled deep learning approach of prominent gene extraction and disease risk prediction by Prajna Paramita DEBATA, Alakananda TRIPATHY, Pournamasi PARHI, Smruti Rekha DAS

“… Unlocking novel insights from gene expression of individual patient profiles, clinicians and researchers can discern patterns, biomarkers, and therapies. Moreover, accurate classification enables the development of predictive models for prognosis and treatment response, facilitating personalized medicine approaches. …”
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Freeze-Dried Food in the Diet of Temporary Residents of the Far North by Evgeniy I. Titov, Irina S. Krasnova, Vera I. Ganina, Elena G. Semenova

“…Study objects and methods. The research featured scientific publications on two topics: 1) nutrition and diet of shift workers in the Far North, 2) development of freeze-dried products for long-term storage in extreme conditions. …”
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A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting by Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, Mehdi Jamei, Mozhdeh Jamei, Zaher Mundher Yaseen

“…Achieving this objective necessitates the development of highly accurate river water level forecasts. …”
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Understanding EMS response times: a machine learning-based analysis by Peter Hill, Jakob Lederman, Daniel Jonsson, Peter Bolin, Veronica Vicente

“…Advanced ML techniques, including Gradient Boosting models, were applied to evaluate the influence of diverse variables such as call handling times, travel times, weather patterns, and resource availability. Feature engineering was employed to extract meaningful insights, and statistical models were used to validate the relationships between key predictors and response times. …”
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Monitoring and deformation of deep excavation engineering based on DFOS technology and hybrid deep learning by Yanli Peng, Jie Zhao, Yijiang Fan, Cheng Fan

“…Results indicate that at monitoring point S5, the coefficient of determination (R2) for the CNN–LSTM–SAM model’s predictions increased by 12.42%, 10.85%, and 5.63% compared to the BP, LSTM, and CNN–LSTM models, respectively, demonstrating higher accuracy than the other three models. Similar patterns were observed when training and predicting using data from other monitoring points, proving the applicability and robustness of the CNN–LSTM–SAM model. …”
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SOPHROLOGY, PSYCHOSOMATICS, DEONTOLOGY AND CREATIVITY by Miroslav Prstačić

“…In this context, culture can be considered as a way of life that encompasses beliefs and religiosity, rituals and various arts (music, theatre, poetry, painting, dance…) mentality and patterns of historically transmitted symbols. At the same time, speech is marked by all physical, psychosomatic, psycho-emotional and spiritual manifestations and is the origin of hermeneutics itself. …”
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An intelligent intrusion detection system for cyber-physical systems using GAN-LSTM networks by Md Shakil Siddique, Md. Ashikur Rahman Khan, Ishtiaq Ahammad, Nishu Nath, Joysri Rani Das, Fardowsi Rahman

“…The primary objectives are: (i) developing an adversarial learning framework where the generator synthesizes realistic attack patterns while the discriminator improves detection robustness, (ii) introducing a hybrid anomaly scoring mechanism combining reconstruction and discrimination loss, and (iii) validating performance on real-world CPS datasets (SWaT and WADI). …”
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Aquaporins are critical for provision of water during lactation and intrauterine progeny hydration to maintain tsetse fly reproductive success. by Joshua B Benoit, Immo A Hansen, Geoffrey M Attardo, Veronika Michalková, Paul O Mireji, Joel L Bargul, Lisa L Drake, Daniel K Masiga, Serap Aksoy

“…All organs, tissues, and body parts examined had distinct AQP expression patterns. Two AQP genes, gmmdripa and gmmdripb ( = gmmaqp1a and gmmaqp1b) are highly expressed in the milk gland/fat body tissues. …”
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Comparative Characteristics of a Subsequent Morbidity Wave COVID-19 in Various Regions of the World by A. P. Bavrina, N. V. Saperkin, O. V. Drugova, N. N. Karjakin, O. V. Kovalishena

“…A more in-depth study of the timeliness and completeness of regime-restrictive measures against SOCID-19 should include a comparison with the patterns of formation and manifestations of the epidemic process. …”
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Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition by Rafael T. Sousa, Gustavo D. M. Silva, Paula L. L. Pinto, Juliano Backes, Amanda S. Mota, Thiago M. Paixao, Maria G. S. Teixeira, Wilian H. Hisatugu, Anilton S. Garcia, Kelly S. Prado, Rodrigo S. Dias, Marco A. Galletta, Hermano Tavares

“…By leveraging machine learning techniques to analyze speech patterns, this research seeks to offer a non-invasive, objective, and accessible method for early detection and intervention. …”
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Single-cell microbiota phenotyping reveals distinct disease and therapy-associated signatures in Crohn’s disease by Lisa Budzinski, Gi-Ung Kang, René Riedel, Toni Sempert, Leonie Lietz, René Maier, Janine Büttner, Bettina Bochow, Marcell T. Tordai, Aayushi Shah, Amro Abbas, Tanisha Momtaz, Jannike L. Krause, Robin Kempkens, Katrin Lehman, Gitta A. Heinz, Anne E. Benken, Stefanie Bartsch, Kathleen Necke, Ute Hoffmann, Mir-Farzin Mashreghi, Robert Biesen, Tilmann Kallinich, Tobias Alexander, Bosse Jessen, Carl Weidinger, Britta Siegmund, Andreas Radbruch, Anja Schirbel, Benjamin Moser, Hyun-Dong Chang

“…The data were analyzed by machine-learning to assess disease-specific marker patterns in the microbiota phenotype. mMFC captured detailed characteristics of CD microbiota and identified patterns to classify CD patients. …”
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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

“…This approach enhances computational efficiency and improves the model’s ability to capture complex patterns, thereby increasing the precision and interpretability of drug response predictions. …”
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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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Detailed geomorphological cartography of the Fildes Peninsula, South Shetland Islands, Antarctica by P. C. Cazaroto, F. N. J. Villela, C. Miranda, M. R. Francelino, C. E. G. R. Schaefer

“…The sample area, a ‘U’-shaped paleovalley, shows features like snowbanks, solifluction lobes, patterned ground, and terraces shaped by glacial retreat and tectonics. …”
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Macroglossia in Beckwith-Wiedemann Syndrome Is Attributed to Skeletal Muscle Hyperplasia by Yuzo Oyama, Haruto Nishida, Osamu Kobayashi, Kenji Kawano, Kenji Ihara, Tsutomu Daa

“…Macroglossia is a common feature in patients with Beckwith-Wiedemann syndrome (BWS). …”
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