Identification of fatty acid metabolism-related genes in the tumor microenvironment of breast cancer by a development and validation of prognostic index signature by Zhaofeng Ma, Man Zheng, Pulin Liu

“…Despite these advances, the precise mechanisms through which FAM mediates the anti-cancer effects of lobaplatin in BRCA remain poorly understood and warrant further investigation. Methods GEO and TCGA data were classified into two types. We aimed to show how FAMGs influence immune function, immune checkpoints, and m6a in BRCA. …”
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THE IMPACT OF PENSION REFORM ON THE NUMBER OF PENSIONERS IN THE RUSSIAN ARCTIC by Valery A. Gurtov, Evgenii A. Pitukhin, Irina S. Stepus

“…This study aims to assess changes in the number of pensioners and working pensioners in the Russian Arctic during the implementation of the pension reform (2018–2028). The analysis draws on data from 2018 to 2023, including regional-level indicators on population, workforce, pensioners, and working pensioners, disaggregated by gender and single-year age groups. …”

Testing infrared camera surveys and distance analyses to estimate feral horse abundance in a known population by Kathryn A. Schoenecker, Paul F. Doherty Jr., Jacob S. Hourt, John P. Romero

“…After truncation of our data, the most supported detection function was a uniform function with a detection probability equal to 1.0 out to 255 m. …”
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Analyzing the influence of TOE factors on e-auditing adoption in audit firms: The moderating effect of trust by Reem Al-Araj

“…Evidence demonstrates that TOE variables provide justification for why organizations would accept E-auditing technology. Data show that trust functions as a supportive variable for the relationship between TOE and e-auditing but provides minimal strength. …”
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Application of remote monitoring and combined network platforms in the management of pulmonary dysfunction patients in the Department of Spinal Surgery (远程监测与联合网络平台在脊柱外科肺功能不全患者管理中的... by HUANG Xiaoyan (黄晓妍), TAN Xiaoju (谭晓菊)

“…The control group was given routine management including medication therapy, respiratory therapy, physical therapy, psychological support, and lung function monitoring. The remote monitoring and combined network platform management were adopted in the experimental group, and it consisted of evaluation and registration, equipment configuration and training, data monitoring, data analysis, education and support, appointment reminders, and follow-up services. …”
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Evaluating Communication Performance in Rotating Electrical Machines Using RSSI Measurements and Artificial Intelligence by Sonia Ben Brahim, Samia Dardouri, Hanen Lajnef, Amel Ben Slimane, Ridha Bouallegue, Tan-Hoa Vuong

“…Among these, the SVM model with a Radial Basis Function (RBF) kernel outperforms others, achieving an accuracy of 97%, with high precision and recall scores, confirming its robustness in classifying RSSI data and handling complex signal behavior. …”
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Scene Matching Method for Children’s Psychological Distress Based on Deep Learning Algorithm by Junli Su

“…Based on the summary and analysis of previous research works, this paper expounded the research status and significance of the scene matching method for children’s psychological distress, elaborated the development background, current status, and future challenges of deep learning algorithm, introduced the methods and principles of depth spatiotemporal feature extraction algorithm and dynamic scene understanding algorithm, constructed a scene matching model for children’s psychological distress based on deep learning algorithm, analyzed the scene feature extraction and matching function construction of children’s psychological distress, proposed a scene matching method for children’s psychological distress based on deep learning algorithm, performed scene feature matching and information processing of children’s psychological distress, and finally conduced a simulation experiment and analyzed its results. …”
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Predicting age at first calving of dairy breed calves using whale optimization-based ensemble learning framework by Tewodros Shekure, Hussien Seid Worku, Sudhir Kumar Mohapatra, Tapan Kumar Das

“…This problem can be lessened by selecting best breed and modern animal breeding facilities, which require technologies like big data analysis and machine learning. In this study, a prediction model that can predict age at first calving of weaned calves based on their pre-weaning and weaning parameters, including dam’s parity number, season of calving, birth weight, pre-weaning health status, pre-weaning average daily weight gain (ADG), weaning age and weaning weight is developed. …”
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A Deep Reinforcement Learning–Based Urban Traffic Control Model for Vehicle-to-Everything Ecosystem by Lingyu Zheng, Han Chen, Yajie Zou

“…Infrastructure-to-infrastructure (I2I) communication enables the exchange of traffic data between intersections, which brings a new challenge to urban traffic control. …”
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Predictive Value of AIP and AGR for Non-alcoholic Fatty Liver Disease and Significant Liver Fibrosis by Zhang Simin, Zhou Changyu, Shi Xianquan, Huang Lizhen

“…SPSS 27.0 and R 4.4.0 were used to analyze the data, single-factor Logistic regression analysis was applied to screen the influencing factors of NAFLD, stepwise regression was applied to screen the variables, and multi-factor Logistic regression was performed to construct the prediction model and draw the column graph. …”
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The Effect of Health Insurance on the Number of Hospital Admission Days in Iran by Peyman PesarakLoo, anis nikravan, leila riahi

“…Data analysis was performed using hierarchical non-linear Poisson regression. …”
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Software complex for assessment and rehabilitation of motor disorders in patients with ischemic stroke by I. V. Tolmachev, V. M. Alifirova, S. D. Kаzakov, E. S. Koroleva

“…To evaluate the impact of visual stimuli created using the augmented reality system on the motor function, a software was developed that visualizes data via augmented reality glasses and processes data obtained from motion capture sensors. …”
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Engine Mass Flow Estimation through Neural Network Modeling in Semi-Transient Conditions: A New Calibration Approach by T. Savioli, M. Pampanini, G. Visani, L. Esposito, C. A. Rinaldini

“…Then, the volumetric efficiency calculated from the air mass flow model estimation is used to calibrate the transfer function of the Engine Control Unit. Finally, the sensitivity of the model error correlated with the number of data points acquired is used in order to determine the best practice for a Design Of Experiment, which minimizes data acquisition. …”
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Hate Speech Detection and Online Public Opinion Regulation Using Support Vector Machine Algorithm: Application and Impact on Social Media by Siyuan Li, Zhi Li

“…In this study, the SVM (Support Vector Machine) algorithm is used to map text features from low-dimensional to high-dimensional space using kernel function techniques to meet complex nonlinear classification challenges. …”
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Work-related Experiences and Challenges of Perioperative Nurses in Southwestern Nigeria by Olufemi Oyebanji Oyediran, Emmanuel Olufemi Ayandiran, Kofoworola Ebunoluwa Ishola, Boluwaji Reuben Fajemilehin

“…The qualitative data collected were transcribed verbatim, coded, and analysed using content and thematic analysis. …”
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Predictors for estimating subcortical EEG responses to continuous speech. by Joshua P Kulasingham, Florine L Bachmann, Kasper Eskelund, Martin Enqvist, Hamish Innes-Brown, Emina Alickovic

“…These methods estimate the temporal response function (TRF), which is a regression model that minimises the error between the measured neural signal and a predictor derived from the stimulus. …”
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Consistent Approach to Predictive Modeling and Countermeasure Determination by Crash Type for Low-Volume Roads by Francesca Russo, Salvatore Antonio Biancardo, Gianluca Dell’Acqua

“…Among different statistical approaches introduced in the past few years to deal with the data and methodological issues associated with crash-frequency data, a generalized estimating equation has been implemented to take into account over-dispersion of the crash data, with a negative binomial distribution additional log linkage equation. …”
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Survival differences according to baseline characteristics of patient with advanced heart failure treated with levosimendan by Angel-Alberto Garcia-Peña, Alejandro Mariño, Oscar-Mauricio Muñoz-Velandia, Daniela Saa-González

“…Aims: To assess whether baseline characteristics (age, New York Heart Association functional class, left ventricular ejection fraction, glomerular filtration rate, systolic blood pressure, and N-terminal pro-brain natriuretic peptide) predicted different survival functions in patients with advanced heart failure, treated with intermittent inotropics. …”
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Organizational and Economic Factors of Health System Optimization by Oleksandr Telizhenko, Yuliia Halynska, Nataliia Baistriuchenko, Volodymyr Potseluiev, Kateryna Demchuk

“…Modeling is based on a functional approach (model based on data flow construction). …”
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Women Migrant Workers in Fiqh Perspectives by L. Lutfiyah, Nurdien Harry Kistanto, Muhammad Akmaluddin

“…The primary source functions as the main source, obtained by tracing the book of jurisprudence by analyzing the content (content analysis). …”
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