Preclinical Evaluation of ⁶⁸Ga-labeled RGD Peptide for Detection of Malignant Angiogenesis by O. E. Klementyeva, A. B. Bruskin, A. S. Lunev, M. G. Rakhimov, K. A. Luneva, G E. Codina

“…The molecular participants in the process are gallium-68 labeled vector to the delivery of radionuclides and positron-emission tomography (PET) imaging.Aim. …”
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Anderson impurity solver integrating tensor network methods with quantum computing by François Jamet, Lachlan P. Lindoy, Yannic Rath, Connor Lenihan, Abhishek Agarwal, Enrico Fontana, Fedor Simkovic IV, Baptiste Anselme Martin, Ivan Rungger

“…Solving the Anderson impurity model typically involves a two-step process, where one first calculates the ground state of the Hamiltonian and then computes its dynamical properties to obtain Green’s function. …”
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Rapid screening and optimization of CO2 enhanced oil recovery operations in unconventional reservoirs: A case study by Shuqin Wen, Bing Wei, Junyu You, Yujiao He, Qihang Ye, Jun Lu

“…Based on the results of model interpretability, the genetic algorithm (GA) was coupled with RF (RF-GA model) to optimize the CO2-EOR process. The proposed framework was validated by comparing the GA-RF predictions with simulation results under different reservoir conditions, which yielded a minimum relative error of 0.34% and an average relative error of 5.3%. …”
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CYCLOTOMIC CLASSES IN THE NORMING DECODING BCH-CODES by D. N. Hoang, V. K. Konopelko

“…Identification of the error vectors generators with serial and parallel-serial processing of combined cyclotomic classes is proposed.…”
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Convolutional Neural Networks for Automatic Identification of Individuals at Terrestrial Terminals by Darwin Yarango-Farro, Alex Mondragon-Fernandez, Heber I. Mejia-Cabrera, Juan Arcila-Diaz

“…To optimize the search process during real-time identification, the embeddings were transferred to FAISS, a library optimized for similarity search in large-scale datasets. …”
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Grape vine (Vitis vinifera) yield prediction using optimized weighted ensemble machine learning approach by Nobin Chandra Paul, Pratapsingh S. Khapte, Navyasree Ponnaganti, Sushil S. Changan, Sangram B. Chavan, K. Ravi Kumar, Dhananjay D. Nangare, K. Sammi Reddy

“…A diverse set of machine learning (ML) models, including Random Forest (RF), Artificial Neural Network (ANN), Extreme Gradient Boosting (XgBoost), Support Vector Regression (SVR), Gaussian Process Regression (GPR), Cubist and Multivariate Adaptive Regression Splines (MARS), were employed to model the grapevine yield. …”
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A Meta-Learning-Based Ensemble Model for Explainable Alzheimer’s Disease Diagnosis by Fatima Hasan Al-bakri, Wan Mohd Yaakob Wan Bejuri, Mohamed Nasser Al-Andoli, Raja Rina Raja Ikram, Hui Min Khor, Zulkifli Tahir, The Alzheimer’s Disease Neuroimaging Initiative

“…The core contribution lies in the exclusive use of mid-slice MRI images, which highlight the lateral ventricles, thus improving the transparency and clinical relevance of the decision-making process. Our mid-slice approach minimizes unnecessary features and enhances model explainability by design. …”
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Ferritin1-mediated ferroptosis participates in granular acini degeneration of Haemaphysalis longicornis salivary glands by Dongqi Yuan, Songqin Chen, Yongzhi Zhou, Jie Cao, Houshuang Zhang, Yanan Wang, Jinlin Zhou

“…In vitro culture of H. longicornis salivary glands showed that erastin promotes ferroptosis, while ferrostatin-1 blocks this process. RNA interference (RNAi) targeting HlFer1 promoted ferroptosis in salivary gland granular acini. …”
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Research on green supply chain finance risk identification based on two-stage deep learning by Ying Liu, Sizhe Li, Chunmei Yu, Mingli Lv

“…As a resonance product between financial services and the upgrading of the green industry, green supply chain finance has garnered extensive attention in the process of ecological civilization construction. Effectively promoting the green transformation of small and medium-sized enterprises and achieving the ''dual carbon'' goals necessitate the avoidance of corporate green risks. …”
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MANAGEMENT OF INNOVATIVE DEVELOPMENT OF ENTERPRISES IN THE CONTEXT OF A CHOICE OF ENERGY SECURITY STRATEGY by Oksana Mykoliuk, Nataliia Prylepa

“…Tasks: to determine the choice of alternative strategic perspectives of energy security; to analyze the main approaches to formation of energy security strategy in the conditions of innovative development; to develop scientific and methodological recommendations for neutralization of threats of the energy strategy of enterprise in internal and external environment, revealed in innovation development process. The following results were obtained: defined the main selection criteria of energy security strategy of enterprise; the author’s interpretation of the concept "energy security strategy of enterprise" is proposed, which is based on the vector of innovative development of enterprise in the field of energy security, which is aimed at rational and efficient use of energy and natural energy resources for achievement of strategic innovation aimed goals of energy policy; a structure for the energy security monitoring of enterprise has been formed and the main tasks of the enterprise’s energy security subdivision have been defined. …”
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Live Weight Prediction in Norduz Sheep Using Machine Learning Algorithms by Cihan Çakmakçı

“…The MANN algorithm, on the other hand, required a longer runtime to process the same dataset.…”
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A Deep Learning Approach for Extracting Cyanobacterial Blooms in Eutrophic Lakes From Satellite Imagery by Nan Wang, Zhenyu Tan, Chen Yang, Jinge Ma, Hongtao Duan

“…Moreover, a novel labeling technique using remote sensing indices simplified the labeling process. Experiments showed that MBAUNet achieved over 90% precision and recall, with an F1 score of 94.01%, outperforming vanilla UNet, DeepLabV3+, random forest, and support vector machine, while halving the number of parameters and training time compared to UNet. …”
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Optimizing Outdoor Micro-Space Design for Prolonged Activity Duration: A Study Integrating Rough Set Theory and the PSO-SVR Algorithm by Jingwen Tian, Zimo Chen, Lingling Yuan, Hongtao Zhou

“…This study proposes an optimization method based on Rough Set Theory (RST) and Particle Swarm Optimization–Support Vector Regression (PSO-SVR), aimed at enhancing the emotional dimension of outdoor micro-space (OMS) design, thereby improving users’ outdoor activity duration preferences and emotional experiences. …”
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Exploration of Machine Learning Models for Prediction of Gene Electrotransfer Treatment Outcomes by Alex Otten, Michael Francis, Anna Bulysheva

“…Tissue heterogeneity complicates the delivery process, requiring the extensive optimization of pulsing protocols currently empirically optimized. …”
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Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods by S Sathvik, Solomon Oyebisi, Rakesh Kumar, Pshtiwan Shakor, Olutosin Adejonwo, Adithya Tantri, V Suma

“…Furthermore, machine learning (ML) techniques were engaged to predict the compressive strength of the concrete samples using Extreme Gradient Boosting (XGBoost), Long Short-Term Memory (LSTM), Support Vector Machine (SVM), and Gaussian Process Regression (GPR). …”
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Research on the characteristics of the Maerkang MS6.0 earthquake based on the joint analysis of annual changes in gravity and magnetic fields by Dong Liu, Yufei Zhao, Yong Zhang, Jiangpei Huang, Yuqin Wu

“…The annual variation of the lithospheric magnetic field revealed that the horizontal vector of the magnetic field weakened overall before the earthquake, with the epicentral region continuing to weaken and the periphery converging, followed by a reverse weakening. …”
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An Assist-as-Needed Control Strategy Based on a Subjective Intention Decline Model by Hao Yan, Fangcao Zhang, Xingao Li, Chenchen Zhang, Yunjia Zhang, Yongfei Feng

“…In the rehabilitation training process for stroke patients, the level of excitement in the patient’s physiological state has a positive impact on the efficacy of the training. …”
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Analysis of Surface Roughness and Machine Learning-Based Modeling in Dry Turning of Super Duplex Stainless Steel Using Textured Tools by Shailendra Pawanr, Kapil Gupta

“…The high predictive accuracy of the LSSVM model highlights its potential for identifying optimal machining parameters and integrating into intelligent process control systems to enhance surface quality and efficiency in the complex machining of materials like SDSS.…”
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Prmt1-mediated histone H4R3me2a methylation regulates the proliferation, migration and invasion of laryngeal cancer cells by affecting the expression level of NCOA5 by Linlu Li, Jiao Cui, Xiaoyu Li, Yuting Zhu, Hongfei Wu, Lanzhu Zhou

“…The present study aimed to investigate how PRMT1-mediated H4R3me2a methylation affects the proliferation, migration and invasion of laryngeal cancer cells and to verify the role of NCOA5 in this process.MethodsThe expression of PRMT1 and NCOA5 was inhibited by siRNA mediated gene knockdown in laryngeal cancer cells. …”
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Land-cover classification in Addo Elephant National Park: Analyzing the impact of variables, classifiers, and object-based approach by Mohammad Safaei, Jane Southworth, Cerian Gibbes, Hannah V. Herrero, Mashoukur Rahaman, Bewuket B. Tefera, Jason K. Blackburn

“…The land-cover classification process using ML algorithms involved experimentation with various predictor variables, including spectral bands, spectral indices, time-series data, and textural information. …”
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