Bayesian multi-study non-negative matrix factorization for mutational signatures by Isabella N. Grabski, Lorenzo Trippa, Giovanni Parmigiani

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Using process-based life cycle assessment to help companies identify emission reduction potentials in their value chain: a case study in the petroleum industry by Mia Emborg, C. H. Gebara, S. I. Olsen

“…Moreover, the study exemplifies a factor four difference in the results between using a spend-based approach and pLCA for purchased goods and services, indicating that the accounting accuracy depends significantly on the GHG emission calculation method. Finally, a set of recommendations are provided towards the GHG Protocol Scope 3 Standard, advocating for less flexibility in the criteria for identifying relevant scope 3 activities on par with size; consistency in using process-based calculation models; and the adherence to sectorial inventory boundary setting and activity prioritization.…”
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Investigating reduced-dimensional variability in aircraft-observed aerosol–cloud parameters by Kayley M. Butler, Sam J. Silva, Armin Sorooshian, Richard H. Moore, Glenn S. Diskin, John B. Nowak, Luke Ziemba, Ewan Crosbie, Michael A. Shook, Joshua DiGangi, Edward Winstead, Claire Robinson, Yonghoon Choi

“…Aerosol-cloud interactions contribute significant uncertainty to modern climate model predictions. Analysis of complex observed aerosol-cloud parameter relationships is a crucial piece of reducing this uncertainty. …”
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Identification of Typical Time-Series House Consumption Profiles Based on Unsupervised Learning Techniques by Marcelo Forte, Cindy P. Guzman, Lucas Pereira, Hugo Morais

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Bidirectional Dielectric Barrier Discharge (DBD) Plasma Generator for Radar Cross Section (RCS) Reduction of Dihedral Corner Reflector in <italic>X</italic>-Band by Changseok Cho, Jinwoo Jung, Yongshik Lee, Minsu Choi, Shinjae You, Hyunsoo Lee, Jungje Ha, Cheonyeong Kim

“…Moreover, while previous plasma-based RCS reduction approaches have primarily focused on planar targets, this study applies the method to a three-dimensional dihedral corner reflector with a 90&#x00B0; angle, modeling structures that often dominate the RCS of real-world targets. …”
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A Path Analysis—Generalized Method of Moments Based on a Nearest-Neighbor with Observed Variable Model for Developing New Scenario Policies to Reduce Greenhouse Gas Emissions from... by Pruethsan Sutthichaimethee, Phayom Saraphirom, Chaiyan Junsiri

“…It employs a quantitative research approach using an advanced model, the Path Analysis—Generalized Method of Moments Based on a Nearest-Neighbor with Observed Variable Model (Path-GMM-Nearest-Neighbor Model). …”
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Influence of the Inter Teeth Volumes on the Noise Generation in External Gear Pumps by Wiesław FIEBIG

“…The paper shows the new method for noise reduction in external gear pumps based on the analysis of the pressure in inter teeth volumes. …”
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Effect of Different Cooking Methods on the Flavor of Procambarus clarkii by Chuanfeng HU, Wenxing QIU, Xuan LIU, Shizhe WANG, Yu QIAO, Ziyi TU, Feng CAO, Shuangquan LIU

“…Subsequent multivariate statistical analyses were performed, including orthogonal partial least squares discriminant analysis (OPLS-DA) for discriminant modeling and principal component analysis (PCA) for data dimensionality reduction and visualization. …”
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Physical Model Tests on Reinforced Loess Foundation Model Under Wetting and Loading by ZHANG Wan, MU Hongkun, LIU Fengyin, GUO Huaining, ZHAO Wei, XUE Yifeng

“…This study evaluates the improvement effect of geogrid reinforcements on the differential settlement of the collapsible loess foundation.MethodsPhysical model tests were conducted on reinforced loess foundations under wetting and loading to examine the influence of the compaction degree of backfill and the stiffness, number, and spacing of reinforcement layers on the earth pressures and deformation of reinforced loess foundations. …”
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Evaluating the Impact of Architectural Physical Elements on Reducing Stress in Surgical Patients: A Case Study in Razi Hospital, Birjand by Elaheh Torabi, Reza Mirzaei, Ahmad Heydari, Jalil Jarrahi Feriz

“…The collected data were analyzed using structural equation modeling. Results: Among male patients, sensory elements had the greatest effect on reducing stress before surgery, while form-based elements had the least impact. …”
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Implementation of the healthy heart tool- an algorithm with potential cardiometabolic health benefits in persons with severe mental illness by Elisabeth Haug Lund-Stenvold, Petter A. Ringen, Ole A. Andreassen, Torfinn L. Gaarden, Cecilie B. Hartberg, Erik Johnsen, Silje Myklatun, Kåre Osnes, Kjetil Sørensen, Arne Vaaler, Serena Tonstad, John A. Engh, Anne Høye

“…After controlling for Body Mass Index (BMI) ≥ 30 and sex, there was an odds ratio (OR) of 8.9 (95% CI 1.42–55.77) for receiving dietary advice and/or advice on salt reduction. There was a significant reduction (p = 0.016) in numbers of participants with high levels of total serum cholesterol ≥ 5 mmol/ (54.4% vs. 46.3%). …”
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The soft computing approaches in optimising multi-objective mechanical design of a weeding robot by Afsaneh Soleimani

“…The optimized dimensions and masses were derived using a multi-objective genetic algorithm (MGA), and a finite element method (FEM) analysis of the resulting models was performed in Ansys R18.2. …”
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Kazakhstan Study of the influence of large shear deformations and vortex flow of metal on the formation of an equiaxed ultrafine‑grained structure of the E110 zirconium alloy by th... by N. A. Lutchenko, A. S. Arbuz, A. A. Kavalek, E. A. Panin, F. E. Popov, M. K. Magzhanov

“…To assess the level of deformation and its distribution over the section, FEM modeling was carried out in Deform‑3D. The resulting structure was studied by electron microscopy (TEM/SEM). …”
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Analysis of the Impact of Renewable Energy Sources and Energy Storage Systems on Multi-Stage Transmission Network Expansion Planning by Mario D. Pastrana, Juan Carlos Cortez, Juan Camilo Lopez, Marina Lavorato, Marcos J. Rider

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Novel Control Method for the MMC Connected to Wind Farms by Xiangyu Pei, Caoyang Jia, Feng Ji, Hui Pang, Guangfu Tang

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Pricing basket options using Monte Carlo simulation employing Cholesky decomposition and variance reduction techniques under the 2D stochastic Black–Scholes equation by Youness Saoudi, Khalid Jeaab, Hanaa Hachimi

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Rates of retention of persons with a mental health disorder in outpatient smoking cessation and reduction trials, and associated factors: protocol for a systematic review and meta-... by Luke Wolfenden, Gemma Taylor, John Wiggers, Alexandra Patricia Metse, Emily Stockings, Jacqueline Bailey, Timothy Regan, Kate Bartlem, Jenny Bowman

“…The aims of the systematic review will therefore be to: (1) summarise overall rates of participant retention in smoking cessation and reduction trials involving persons with a mental health disorder (including for experimental and control groups separately) and (2) determine if retention rates vary according to participant, environmental, researcher and study factors.Methods and analysis PsycINFO, EMBASE, MEDLINE, CENTRAL and The Cochrane Tobacco Addiction Review Group Specialised Register will be searched for reports of RCTs of outpatient smoking cessation or reduction interventions for adults with a mental health disorder. …”
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NUMERICAL METHOD FOR ESTIMATION OF TENSILE LOAD IN TIE-RODS by Kseniia Riabova, Luca Collini, Rinaldo Garziera

“…The algorithm used for calculation involves a solution of a functional minimization problem, where the tensile load and the stiffness of elastic foundation at the edges are used as optimization parameters and the error function, which describes the deviation between the frequencies measured and those calculated using finite element method, is minimized. Qualitative analysis of the results showed a significant reduction of the error compared to models with different boundary conditions. …”
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Advanced control strategies for multilevel inverter in grid-connected and off-grid photovoltaic systems: A multi-objective approach using LS-PWM for THD reduction by Fatima Chakir, Abdelmounime El Magri, Mohamed Kissaoui, Rachid Lajouad, Abderrahim El Fadili, Mostafa Chakir

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Immunological AI Optimizer Deployment in a 330 MW Lignite-Fired Unit for NO_x Abatement by Konrad Świrski, Łukasz Śladewski, Konrad Wojdan, Xianyong Peng

“…The immunological AI optimizer adaptively models multi-variable interactions and fireball shape in real time, optimizing fuel–air mixing to reduce NO_x formation at the source. …”
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