Successful Management of the Fetal Severe Anemia Associated with Jra Alloimmunization by Intrauterine Transfusion of Jr(a+) Red Blood Cells by Masatake Toshimitsu, Shinichi Nagaoka, Shuusaku Kobori, Yuichiro Takahashi, Jun Murotsuki

“…The severity of fetal anemia is predicted by MCA-PSV Doppler assessment rather than the maternal anti-Jra titers. …”
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Simulation Modeling of a Pharmaceutical Tablet Manufacturing Process via Wet Granulation by Zhengsong Wang, Zhen Pan, Dakuo He, Jiahui Shi, Shouxin Sun, Yue Hou

“…For SFBG, a simulation model that simultaneously involves the influences of operating variables and material attributes on average particle size (APS) is firstly developed, and then a drying model to determine the particle moisture content is introduced to be coupled with the established model predicting APS. For PTMP, considering the important effect of porosity on tablet qualities, a model describing the changes in tablet porosity is developed based on a promoted form of the Heckel equation, and then several recognized models that are all related to porosity are introduced or constructed to calculate important tablet quality indexes. …”
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Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms by Zehra Koyuncu, Ömer Ekmekcioğlu

“…Random forest (RF), stochastic gradient boosting (SGB), and XGBoost algorithms were used. The best predictive performance was obtained with the XGBoost algorithm, followed by SGB and RF, respectively. …”
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Size Effects of Finite Element Model for Three-Dimensional Microstructural Modeling of Asphalt Mixture by Kuanghuai Wu, Qingzi Deng, Naiming Deng, Xu Cai, Wenke Huang

“…The four digital models were used to conduct uniaxial creep test for predicting creep stiffness modulus to investigate the effect of voxel size. …”
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Integrated Bioinformatics and Experimental Approaches Identified the Role of NPPA in the Proliferation and the Malignant Behavior of Breast Cancer by Aijun Sun, Xiaonan Sheng, Jinhai Tang, Zhenfeng Yu, Jian Zhang

“…And we observed the enhanced proliferation, migration, and invasion potential of breast cancer cells after NPPA depletion. Further, we predicted the transcription modulation of NPPA with PROMO and JASPAR. …”
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A stacked ensemble approach with resampling techniques for highly effective fraud detection in imbalanced datasets by Idongesit E. Eteng, Udeze L. Chinedu, Ayei E. Ibor

“…ve Bayes, and k-Nearest Neighbour, and uses the Logistic Regression meta-classifier to make predictions based on a stacking algorithm and novel pipeline. …”
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Incidental left paraaortic mass in a patient with gall bladder adenocarcinoma: A diagnostic challenge by Manali Bhatta, Sharma Paudel, Ongden Yonjen Tamang, Prajwal Dahal, Santosh Shrestha, Sabina Parajuli

“…Histopathological analysis, including immunohistochemistry, biochemical testing, and functional imaging, can offer valuable insights to help diagnose and aid in predicting prognosis.…”
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Skin microbiome differences in pancreatic adenocarcinoma, other cancers, and healthy controls: a pilot study by Taylor Davis, Katherine T. Decker, Dana Hosseini, Gayle Jameson, Erkut Borazanci

“…Additionally, a machine learning classification model achieved a mean F1 Score of 0.943 in predicting cancer status, indicating measurable differentiation in the skin microbiome between the study groups. …”
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The Impact of Targeted Therapies on Red Blood Cell Aggregation in Patients with Chronic Lymphocytic Leukemia Evaluated Using Software Image Flow Analysis by Anika Alexandrova-Watanabe, Emilia Abadjieva, Lidia Gartcheva, Ariana Langari, Miroslava Ivanova, Margarita Guenova, Tihomir Tiankov, Velichka Strijkova, Sashka Krumova, Svetla Todinova

“…Our findings highlight the alterations in RBC aggregation in CLL and the impact of different targeted therapies on RBCs’ rheological properties, which is critical for predicting the potential complications and side effects of CLL treatments, particularly concerning blood flow dynamics.…”
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Climate-driven hydrological sensitivity in Estonian catchments: a northern temperate perspective by Oliver Koit, Joonas Pärn, Marlen Hunt, Siim Tarros, Elve Lode, Pamela Abreldaal

“…The LightGBM model, predicting focus parameters, highlights the critical influence of air temperature and snowpack on streamflow characteristics. …”
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Insights into spinetail devil ray spatial ecology in the Mediterranean Sea through satellite telemetry by Giuseppe Notarbartolo di Sciara, Mohammed Abudaya, Giacomo Milisenda, Simonepietro Canese, Viola Panigada, Jehad Salah, Simone Panigada

“…Our study corroborates the notion that the species undergoes predictable basin-wide migrations across the Mediterranean Sea, favouring the Levantine waters in late winter and early spring, thanks to the subregion’s milder sea surface temperatures in that time of the year compared to the rest of the Mediterranean. …”
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Estimation and identification of parameters in a lumpedcerebrovascular model by Scott R. Pope, Laura M. Ellwein, Cheryl L. Zapata, Vera Novak, C. T. Kelley, Mette S. Olufsen

“…These quantitiesare parameters in a simple lumped parameter model that predicts pressure andflow in the systemic circulation. …”
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Evaluating Sentinel-2 for Monitoring Drought-Induced Crop Failure in Winter Cereals by Adrià Descals, Karen Torres, Aleixandre Verger, Josep Peñuelas

“…The methodology explored which Sentinel-2 phenological and greenness variables could best predict three drought impact classes: normal growth, moderate impact, and high impact, where the crop failed to produce grain. …”
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Monitoring of milk rennet coagulation: Chemical and physical perspective using Raman spectroscopy by Leonardo Sibono, Stefania Tronci, Martin Aage Barsøe Hedegaard, Massimiliano Errico, Massimiliano Grosso

“…Raman sensor information (Laser 785 nm) was simultaneously retrieved with rheological measurements to predict the curd cutting time. Principal component analysis was conducted on Raman spectra to collect the relevant information on the coagulating process. …”
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A theoretical study of even-even 162-17870Yb isotopes using interacting vector boson model by D. M. Nasef, E. T. Ellafi, S. M. El-Kadi

“…The comparison of our theoretical predictions with experimental data will provide valuable insights into the nuclear structure of these isotopes and help validate the IVBM model's effectiveness in describing collective phenomena. …”
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Estimation of the High-Frequency Feature Slope in Gravitational Wave Signals from Core Collapse Supernovae Using Machine Learning by Alejandro Casallas-Lagos, Javier M. Antelis, Claudia Moreno, Ramiro Franco-Hernández

“…We evaluated the efficiency and performance of the ML algorithms using a set of metrics to measure their ability to accurately predict the HFF slope within the data set. The results showed that a DNN algorithm for regression exhibits the highest accuracy in estimating the slope of the HFF.…”
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Isobaric vapor-liquid equilibria of ternary lead-tin-antimony alloy system at 2 Pa by Xu J., Gao J., Kong L., Xu B., Yang B., Liu D.

“…The activities of the components of Pb–Sn–Sb ternary alloy and those of the corresponding three constituent binaries were calculated using the Wilson equation. The predicted values are in good agreement with the data determined from the experiments, and the average relative deviation and average standard deviation were smaller than ± 4.00% and ± 0.03 for all constituent binaries, respectively, which indicates that the Wilson equation is reliable for calculating the activity of the components of the Pb–Sn–Sb ternary alloy. …”
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Rapid Identification and Systematic Mechanism of Flavonoids from Potentilla freyniana Bornm. Based on UHPLC-Q-Exactive Orbitrap Mass Spectrometry and Network Pharmacology by Wei Cai, Kailin Li, Shihan Qin, Pei Xiong, Jie Peng, Silin Shi, Zaiqi Zhang

“…Then, the core targets were predicted by protein-protein interaction network and network analysis. …”
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Use of UTAUT for analyzing the acceptance and use of electric scooters in the public transport system by Fernando Marroquín-Ciendúa, Manuel Medina-Labrador, Laura Camila Hurtado Méndez, Lorena Patricia Mora Hernández, Cristian Nicolás Puentes Guzmán

“…The research was conducted in three phases: (1) Descriptive phase, a qualitative study with in-depth interviews, Exploratory Factor Analysis, and Principal Component Analysis; (2) Correlational phase, a statistical validation of the UTAUT model using survey responses from 424 participants; (3) Predictive phase, two Binary Logistic Regressions and a Log-Linear Analysis assessed the relationships between independent variables (Gender, Socioeconomic Strata, Incentives, and Knowledge of Scooters) and the dependent variable (Scooter Use). …”
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Energy Absorption of Auxetic Metallic Yield Damper Made of Shape Memory Alloys by Milad Masodi, Ahmad Ganjali, Hamidreza Irani, Aboozar Mirzakhani

“…Using the ABAQUS software, a set of quasi-static nonlinear analyses were performed on the metallic yielding damper with different geometric parameters in order to predict its energy absorption capacity under direct traction loading. …”
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