Harnessing unsupervised machine learning with [18F]FDG PET/CT to develop a composite model for predicting overall survival in cervical cancer patients undergoing concurrent chemora... by Jinyu Shi, Lian Wang, Min Zhou, Shushan Ge, Shushan Ge, Bin Zhang, Jiangqin Han, Jihui Li, Shengming Deng, Shengming Deng

“…Background and purpose:This study sought to develop an advanced composite model to enhance the prognostic accuracy for cervical cancer patients undergoing concurrent chemoradiotherapy (CCRT). …”
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Catchment-specific factors influencing isotopic variability of glacier melt and snowpack in the Himalayas by Tanveer Dar, Tanveer Dar, Nachiketa Rai, Sudhir Kumar

“…This study investigates the impact of catchment-specific environmental factors, such as aspect, albedo, and temperature, on isotopic variability in glacier melt and snowpack samples across three Himalayan catchments: Lidder, Sindh, and Rambiara. …”
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Annual and seasonal variability in tundra vole (Microtus oeconomus) diet in northern Alaska by Mary Kathleen Lisi, Ryan B. Stephens, Jess Steketee, Erik A. Hobbie, Rebecca J. Rowe

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Aerosol Composition in a Semi-Urban Environment in Central Mexico: Influence of Local and Regional Processes on Overall Composition and First Quantification of Nitroaromatics by Sara E. Olivares-Salazar, Roya Bahreini, Ying-Hsuan Lin, Telma Castro, Harry Alvarez-Ospina, Dara Salcedo

“…We used aerosol chemical composition and meteorological data from 1 January to 15 May 2022, along with back-trajectory modeling, to investigate emission sources not previously described in the region and the impact of local and regional meteorology on the chemical composition of aerosols. …”
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Spatial and temporal variability of snow accumulation on the Western plateau of Elbrus (Central Caucasus) by I. I. Lavrentiev, S. S. Kutuzov, V. N. Mikhalenko, M. S. Sudakova, A. V. Kozachek

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Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework by Abdallah B. Al-Hamdan, Yazan Ibrahim Alatoom, Inya Nlenanya, Omar Smadi

“…The results indicate that the proposed framework achieved high model accuracy, demonstrated by R-squared values of 0.83 and 0.91 for rigid and composite pavements, respectively. …”
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Optimization the preparation of whey protein from pasteurized liquid milk using Response Surface Methodology and Artificial Neural Network Model by Md. Anwar Hossain, Kanika Mitra, Md. Munnaf Hossen, Shammi Akhter

“…To produce protein hydrolysates with antioxidant and amino acid activities, whey protein concentrate (WPC) was alcalase-acylated under the optimal conditions in this study using Response Surface Modeling (RSM) and Artificial Neural Network (ANN). …”
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The Flexural Behavior of Reinforced Ultra-High Performance Engineering Cementitious Composite (UHP-ECC) Beams Fabricated with Polyethylene Fiber (Numerical and Analytical Study) by Ahmed M. Yassin, Mohamed Ahmed Hafez, Mohammad Mohie Eldin

“…This technique was validated using previous experimental results for UHP-ECC beams and found to be accurate and effective. The previous FE model was used to conduct a parametric study and the variables—the compressive strength of the concrete, the percentage of the volume content of polyethylene fibers, the tensile reinforcement ratio, and the span-to-depth ratio—were found to be effective upon the flexure behavior of the reinforced UHP-ECC beams. …”
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Compositional Causal Identification from Imperfect or Disturbing Observations by Isaac Friend, Aleks Kissinger, Robert W. Spekkens, Elie Wolfe

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Optimization of a new catalyst composition for trimerization of ethylene by Mohammad Javad Sharifi, Alireza Fazlali, Seyed Hamed Mahdaviani, Davood soudbar

“…The central composite design (CCD) model with three main parameters in three response levels for each factor was applied to analyze the effects of the parameters. …”
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Multi-objective optimization of an open-pit mining system to determine safety buffer using the modified NBI method and the meta-model approach by Tahereh Khajvandsany, Hossein Amoozad Khalili, Ramezan Rezaeyan, Kourosh Nemati

“…The central composite design (CCD) method was used to develop the design of experiments (DOE) for the design variables. …”
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Soybean Yield Estimation Using Improved Deep Learning Models With Integrated Multisource and Multitemporal Remote Sensing Data by Jian Li, Junrui Kang, Ji Qi, Jian Lu, Hongkun Fu, Baoqi Liu, Xinglei Lin, Jiawei Zhao, Hengxu Guan, Jing Chang, Zhihan Liu

“…County-level yield data from 12 U.S. states were used, supplemented by multitemporal remote sensing datasets (MODIS surface reflectance, vegetation indices, and environmental variables). Empirical analyses showed that TransBiHGRU-PSO demonstrated improved estimation capability and generalizability compared to multiple benchmark models. …”
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A novel theoretical approach to predict the interannual variability of sulfur in Mercury’s exosphere and subsurface by S. Verkercke, J. Y. Chaufray, F. Leblanc, A. Georgiou, M. S. Phillips, G. Munaretto, J. Lewis, A. Ricketts, L. Morrissey

“…Using a 3D exospheric global model with a Monte-Carlo test-particles approach and accounting for species diffusion in the first meter of Mercury’s regolith, this study aims to provide the first global prediction of the interannual variability of neutral sulfur density in both Mercury’s exosphere and subsurface. …”
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Evaluating drivers of spatio-temporal variability in fish fauna of Manasbal Lake of Kashmir Himalayas by Tabasum Yousuf, Saima Andrabi, Shaista Javaid, Sinan Nissar, Yahya Bakhtiyar

“…Significant associations between fish composition and abiotic factors were also determined by redundancy analysis (RDA). …”
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Marine organic aerosol at Mace Head: effects from phytoplankton and source region variability by E. Chevassus, K. N. Fossum, D. Ceburnis, L. Lei, C. Lin, C. Lin, W. Xu, W. Xu, C. O'Dowd, J. Ovadnevaite

“…Overall, these findings emphasize the need for longer-term investigations to further map the influence of phytoplankton taxa variability on aerosol composition and the broader impacts on aerosol–climate interactions.…”
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Prediction of stress level in military submariners, based on physical conditioning and sleep quality variables by Maria Elisa Koppke Miranda, Pedro Moreira Tourinho, Guilhermo Brito Portugal, Ulisses Tirolo Taddei, Leonardo de-Souza Mendes Leal, Bruno Ferreira Viana, Priscila dos Santos Bunn, Rodrigo Gomes de Souza Vale

“… The objective of the study was to predict the level of stress in military submariners based on physical fitness and sleep quality variables. Cross-sectional and correlational research, with a sample of 40 male submariners (28.70±3.98 years old). …”
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Disentangling the effects of eutrophication and natural variability on macrobenthic communities across French coastal lagoons by Jones, Auriane G., Schaal, Gauthier, Boyé, Aurélien, Creemers, Marie, Derolez, Valérie, Desroy, Nicolas, Fiandrino, Annie, Mouton, Théophile L., Simier, Monique, Smith, Niamh, Ouisse, Vincent

“…Here, we analyze a dataset composed of macrobenthic invertebrate abundances and environmental variables (hydro-morphology, water, sediment and macrophytes) gathered across 29 Mediterranean coastal lagoons located in France, to characterize the main drivers of community composition and structure. …”
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Then and now: umbrella variables mask temporal mechanisms of structural racism in US urban environments by Victoria Fisher, Allison Boretsky, Nicole Alkhouri, Nadia N. Abuelezam

“…Racist urban development policies and capitalist municipal management have continued the cycle of poverty experienced by many in the US. Modeling this disadvantage often relies on composite, or ‘umbrella’, socioeconomic variables. …”
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Predicting piglet survival until weaning using birth weight and within-litter birth weight variation as easily measured proxy predictors by J.M. Mbuthia, C. Kasper, M. Zenk, G. Bee, C.C. Metges, G. Daş

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Stresses in Composite Shafts Subjected to Unbalance Excitation and Transmitted Torque by H. B. H. Gubran, S. P. Singh, K. Gupta

“…Shafts of uniform as well as variable wall thickness are considered. The shaft is modeled as a simply supported Timoshenko beam in which shear deformation, rotary inertia and gyroscopic effects have been included. …”
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