Dynamic, symmetry-preserving, and hardware-adaptable circuits for quantum computing many-body states and correlators of the Anderson impurity model by Eric B. Jones, Cody James Winkleblack, Colin Campbell, Caleb Rotello, Edward D. Dahl, Matthew Reynolds, Peter Graf, Wesley Jones

“…The many-body ground state of the AIM is determined as the minimum over all minima of O(N_{q}^{2}) distinct charge-spin sectors. Hamiltonian expectation values are shown to require ω(N_{q})<N_{meas.}…”
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Identification and verification of diagnostic biomarkers for deep infiltrating endometriosis based on machine learning algorithms by Shanping Shi, Chao Huang, Xiaojian Tang, Hua Liu, Weiwei Feng, Chen Chen

“…The results indicated that USP14 is significantly upregulated in DIE and exhibits good predictive value (AUC = 0.786). Further analysis revealed the important role of USP14 in muscle function, cellular growth factor response, and maintenance of chromosome structure, and its close association with various immune cell functions. …”
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Laser marking method for nonferrous metal casting ingots based on improved RANSAC algorithm by Zheng Rui

“…On the ground of the optimized RANSAC to fit the plane equation, the normal vector of the plane is calculated, and the angle between the coordinate axis and the normal vector in the pendulum coordinate system is determined through the normal vector, enabling automatic alignment and vertical focusing functions to be achieved. …”
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Elevation Error Prediction of Continuous Beam Cantilever Construction Phase Based on LS-SVM by Xilong Zheng, Yunfeng Hu, Baitao Sun

“…I compare the Least Squares-Support Vector Machines (LS-SVM) prediction value with the measured value, the SVM model predictions, the BP neural network model predictions and the dimensionality reduction model predictions, so that predict elevation errors during cantilever construction phases by established models. …”
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Identification of ulcerative colitis diagnostic markers from differentially expressed genes shared with Hirschsprung disease by Wei Zuo, Zhengguang Wang

“…Feature genes for distinguishing UC were identified using support vector machine-recursive feature elimination, LASSO regression, and random forest techniques. …”
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Uncertainty quantification from ensemble variance scaling laws in deep neural networks by Ibrahim Elsharkawy, Benjamin Hooberman, Yonatan Kahn

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Large charge meets semiclassics in $$\mathcal{N}$$ = 4 super Yang-Mills by Augustus Brown, Francesco Galvagno, Alba Grassi, Cristoforo Iossa, Congkao Wen

“…Abstract We study the large-charge sector of $$\mathcal{N}$$ = 4 super Yang-Mills theory (SYM) with SU(N) gauge group by constructing a special class of half-BPS heavy operators, termed “canonical operators”. …”
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Development of Advanced Machine Learning Models for Predicting CO₂ Solubility in Brine by Xuejia Du, Ganesh C. Thakur

“…Using a comprehensive database of 1404 experimental data points spanning temperature (−10 to 450 °C), pressure (0.098 to 140 MPa), and salinity (0.017 to 6.5 mol/kg), the research evaluates the predictive capabilities of five ML algorithms: Decision Tree, Random Forest, XGBoost, Multilayer Perceptron, and Support Vector Regression with a radial basis function kernel. …”
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Torque Prediction In Deep Hole Drilling: Artificial Neural Networks Versus Nonlinear Regression Model by Ngoc Hung- Chu, Hoai Nam- Nguyen, Van Du- Nguyen, Dang Binh- Nguyen

“…Results show that the ANN model has better predictive capability, the average MAPE value approximately four times smaller and higher reliability with a standard deviation approximately 3.5 times smaller than the exponential function model. …”
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Design and analysis of active disturbance rejection and field weakening control system for PMSM based on FCS-MPC by YU Yuting, HUANG Jie, CHU Yanting, ZHOU Fangyuan

“…To mitigate torque term interferences, this paper presents a combination of finite control set model predictive control (FCS-MPC) and a model predictive torque control system based on torque and flux linkage output design, to replace traditional direct torque control (DTC). Based on a value function constructed to minimize torque and flux linkage ripples, calculations and optimizations enable the selection of optimal space vector control signals that are then transmitted to the inverters. …”
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Market, Management and Profession. Social Business in the Polder. by Willem Blok

“…From a professional point of view the purpose and functions of professional care and welfare work are at stake. …”
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Study of the Sustainability of Potato Farms in the Region of Oued Souf (Southern Algeria) by Djouhri Nesrine, Bouammar Boualem, Dadamoussa Mohamed Lakhdar

“…This is why it is necessary to face the problems encountered and fight against the factors that can hinder the sustainability of this sector and give a competitive value.…”
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THE SIGNIFICANCE OF LEGAL REGULATION IN ENSURING CYBER SECURITY IN THE CONDITIONS OF WAR: EXPERIENCE FOR UKRAINE by Vladyslav Horulko

“…That is why cyber security in most countries of the world is recognized as an important component of national security, the provision of which is impossible without the formation and functioning of a national system in the field of cyber security, which is based on such principles as respect for the principles and norms of international law, protection of fundamental values defined by current legislation, protection national interests in cyberspace. …”
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Effects of normal stress on shear properties and acoustic emission characteristics of bonded rock-concrete interfaces by Yan Chen, Jiangfan Yang, Jintao Wang, Shuai Heng, Zhiqiang Hou

“…Conversely, the cumulative AE count diminishes under elevated normal stresses. The b value and F-function serves as an effective indicator of crack evolution; The significant decrease in b-value at peak stress and the significant increase in F-value at peak stress are associated with brittle damage. …”
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Educational Connections: Museums, Universities, and Schools as Places of Supplementary Learning by Mᵃ Dolores Soto-González, Ricard Huerta, Ramona Rodríguez-López

“…The study is further enriched by interviews with two experts from Brazil and France, who collaborate within the Spanish university sector. This qualitative research uses interviews to analyze the key opinions of its participants, from both an analytical and propositional perspective. …”
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Lorenz-PSO Optimized Deep Neural Network for Enhanced Phonocardiogram Classification by Awais Mahmood, Mousa Alhajlah, Habib Dhahri, Abdulaziz Almaslukh

“…The results are also compared to a fusion of instantaneous frequency-based features with random forest &#x0026; KNN classifiers and other state-of-the-art methods on accuracy, precision, recall, F1-score, and fitness value. The suggested approach is reliable since fitness value, loss function, and statistical measures are profiled on 100 independent runs. …”
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Multi-Objective Parameter Optimization of Rotary Screen Coating Process for Structural Plates in Spacecraft by Yanhui Guo, Yanpeng Chen, Peibo Li, Xinfu Chi, Yize Sun

“…Thus, it is indicated that the CLMOGOA managed to outperform the MOGOA on the test functions. In order to solve the optimization problem, 108 sets of process experiments were designed, and then the experimental data were used to train a Back Propagation Neural Network (BPNN), a Least Squares Support Vector Machine (LSSVM), and Random Forest (RF) to obtain the best prediction model for the process parameters. …”
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STRAIN CONCENTRATION IN APICES OF RADIAL CRACKS IN A THIN COATED PIPE WALL by M. M. Payzulaev, E. L. Rashidova, B. V. Sobol'

“…The ultimate goal of the study is to determine the values of the strain intensity coefficient at the apices of the crack.…”
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Development of a machine learning-based risk assessment model for loneliness among elderly Chinese: a cross-sectional study based on Chinese longitudinal healthy longevity survey by Youbei Lin, Chuang Li, Xiuli Wang, Hongyu Li

“…Conclusion The study found a 23.4% prevalence of loneliness among elderly individuals in China. SHAP values indicated that marital status has the strongest evaluative value across all forecasting periods. …”
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A book as an attribute of everyday life culture (based on the German classics) by N. N. Misyurov

“…The functional role of books (scientific, artistic, philosophical, religious and moralistic) in the public prac­tice of the German Enlightenment is comparable to the significance of such major national concepts as the Lutheran faith and a special German character. …”
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