Personalized predictions of neoadjuvant chemotherapy response in breast cancer using machine learning and full-field digital mammography radiomics by Ye Ruan, Xingyuan Liu, Yantong Jin, Mingming Zhao, Xingda Zhang, Xiaoying Cheng, Yang Wang, Siwei Cao, Menglu Yan, Jianing Cai, Mengru Li, Bo Gao

“…A nomogram prediction model was further developed by combining the independent risk factors and rad-score, and probability-based stratification was applied. An independent cohort was collected from an external hospital to evaluate the performance of the model.ResultsThe radiomics model based on support vector machine (SVM) demonstrated the best predictive performance. …”
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Development and validation of a quick screening tool for predicting neck pain patients benefiting from spinal manipulation: a machine learning study by Changxiao Han, Guangyi Yang, Haibao Wen, Minrui Fu, Bochen Peng, Bo Xu, Xunlu Yin, Ping Wang, Liguo Zhu, Minshan Feng

“…We compared data imputation methods through density plots, and conducted δ-adjusted sensitivity analysis. …”
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Effects of the falls and fractures clinic as an integrated multidisciplinary model of care in Australia: a pre–post study by Gustavo Duque, Sharon Lee Brennan-Olsen, Fernando Gomez, Carmen Lucia Curcio, Derek Boersma, Steven Phu, Sara Vogrin, Pushpa Suriyaarachchi

“…Objectives Traditionally, the approach to fracture prevention has focused on increasing bone mineral density while typically lacking a combined clinical approach to falls prevention and vice versa. …”
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Mapping the mHealth Nexus: A Semantic Analysis of mHealth Scholars’ Research Propensities Following an Interdisciplinary Training Institute by Junpeng Ren, Jinwen Luo, Yingshi Huang, Vivek Shetty, Minjeong Jeon

“…Our longitudinal analysis evaluates how the NIH mHealth Training Institute (mHTI) program stimulates changes in research trajectories through a computational examination of 16,580 publications from 176 scholars (2015–2022 cohorts). …”
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Precision analysis of NGC 2158 with Gaia DR3 by Nasser M. Ahmed, A. L. Tadross

“…The key focus of this investigation is our new method of evaluating membership probability based on the radius of each shell in the studied cluster, rather than applying a single probability value to the entire cluster. …”
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A New Hybrid Class of Distributions: Model Characteristics and Stress–Strength Reliability Studies by Mustapha Muhammad, Jinsen Xiao, Badamasi Abba, Isyaku Muhammad, Refka Ghodhbani

“…Additionally, we perform a stress–strength (SS) reliability analysis of the HWE under two common scale parameters, supported by illustrative numerical evaluations. For parameter estimation, we adopt the maximum likelihood estimation (MLE) method in both density estimation and SS-parameter studies. …”
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Attraction points: A new sampling design method to quantify common finches’ population by Lorenzo Marazuela Pinela, Ángel Julián Martín Fernández, Pablo-Luis López-Espí

“…Due to the fact that these methodologies do not use unbiased statistical estimators, the accurate estimation of bird densities or obtaining measures of abundance is often based on indirect counts, such as, detection probability versus distance, or assumptions, such as the homogeneous distribution of all individuals, which are then correlated with bird density. …”
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Risk Assessment Model for Metro Station Stair and Escalator Operation Systems Based on Bayesian Network by HOU Xiangyu, HU Hua, FANG Yong, MENG Yanli, HAO Yanxi, LIU Zhigang

“…[Result & Conclusion] Pedestrian flow density is the most significant risk factor for the escalator buffering unit, with an importance of 6.49%. …”
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Novel Approximate Distribution of the Generalized Turbulence Channels for MIMO FSO Communications by Wafaa M. R. Shakir, Ali S. Mahdi, Hani Hamdan, Jinan Charafeddine, Haitham Al Satai, Radouane Akrache, Samir Haddad, Jinane Sayah

“…Then, using this new representation, we introduce a novel closed-form probability density function (PDF) approximation for the sum of Gamma-Gamma random variates with generalized pointing errors and atmospheric attenuation of MIMO free-space optical (FSO) communications. …”
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Inference and Optimal Design on Partially Accelerated Life Tests for the Power Half-Logistic Distribution Under Adaptive Type II Progressive Censoring by Hanan Haj Ahmad, Mahmoud M. El-Awady

“…The power half-logistic (PHL) distribution is utilized due to its flexibility in modeling the probability density and hazard rate functions, effectively representing various data patterns commonly encountered in practical applications. …”
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Grocery shopping behavior in Detroit neighborhoods experiencing disinvestment and decline: An empirically grounded agent-based model of data-scarce communities by Arika Ligmann-Zielinska, Igor Vojnovic, Timothy F. LeDoux

“…We also report on three what-if scenarios to evaluate how major population changes would affect the results. …”
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Fast and Interpretable Probabilistic Solar Power Forecasting via a Multi-Observation Non-Homogeneous Hidden Markov Model by Jiaxin Zhang, Siyuan Shang

“…A method for estimating the probability density distribution of solar power output is introduced, from which point forecasts are extracted. …”
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FREQUENCY DOMAIN DAMAGE CALCULATION AND EXPERIMENTAL VERIFICATION OF NON-GAUSSIAN EXCITATION BASED ON GMM MODEL (MT) by XU Yang, YANG GuangWu, CHEN KuanYu, XIAO ShouNe

“…After comparing the test results with the simulation results, it is found that the relative error between the results obtained by GMM-Dirlik model and the test is 10.8%, while the relative error between the results obtained by Gaussian hypothesis and the test is large, which is 45.3%, which further explains the risk of non-Gaussian excitation damage evaluated by Gaussian hypothesis. Finally, the difference between non-Gaussian excitation and Gaussian distribution probability density function is compared to explain the concave phenomenon of measured stress rain flow distribution at the middle stress level and the reason why the damage of non-Gaussian excitation is larger than that of Gaussian excitation.…”
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Characteristics in the Population of Stray Dogs and Changes After One Year From a City in Southern Mexico by A. Novelo-Sanguino, M. Jiménez-Coello, J. C. Segura-Correa, A. Ortega-Pacheco

“…The calculation of the density of the dogs was obtained considering the extension of 186.24 km2 of the city, and the characteristics of the dogs were evaluated through direct observation. …”
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Mechanical Properties and Strength Grading of Engineered Bamboo Composites in China by Siyuan Tang, Aiping Zhou, Jiannan Li

“…The main aim of this work is to evaluate the best probability distribution model (normal, lognormal, and Weibull) and mechanical properties for EBC in China and determine the characteristic values indicated by ASTM D2915. …”
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Uso de Métodos Monte Carlo na Modelagem de Fontes Radioativas Naturais by Gutemberg Luiz Sales Claudino, José Vieira, Viriato Leal Neto, Fernando Lima, José Santos

“…Essentially, if tried improve the way the photons are sampled in the plan, taking in account the probability density function (PDF) that describes the problem, the runtime simulation and dosimetric results. …”
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Cerebral Venous Sinus Thrombosis, a Nonenhanced CT Diagnosis? by Ali Alsafi, Amish Lakhani, Lalani Carlton Jones, Kyriakos Lobotesis

“…Purpose. Retrospectively evaluate the density of cerebral venous sinuses in nonenhanced head CTs (NCTs) and correlate these with the presence or absence of a cerebral venous sinus thrombus (CVST). …”
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Joint Entropy Error Bound of Two-Dimensional Direction-of-Arrival Estimation for L-Shaped Array by Xiaolong Kong, Daxuan Zhao, Nan Wang, Dazhuan Xu

“…Firstly, the joint conditional probability density function (PDF) is given to establish the mathematical relationship among the receiving signal and the azimuth and elevation DOAs. …”
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Cavernas do Mato Grosso do Sul: revisão, atributos condicionantes, análise preditiva e autocorrelação espacial by Alesson Pires Maciel Guirra, Antonio Conceição Paranhos Filho

“…It is not possible to predict by purely deterministic statistical method the occurrence of cavities, being verified stochastic pattern in its distribution. The Kernel density estimator allowed qualitative inferences of the probability of occurrence of cavities. …”
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Flexible Reconfiguration for Optimal Operation of Distribution Network Under Renewable Generation and Load Uncertainty by Behzad Esmaeilnezhad, Hossein Amini, Reza Noroozian, Saeid Jalilzadeh

“…The uncertainty of the load and generation from renewable energies is planned to use their probability density functions via a scenario-based approach. …”
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