Impact of a crop insurance mechanism on credit obtained by smallholders: evidence from “Proagro Mais” in Paraná by Carlos Oñate-Paredes, Vitor Augusto Ozaki

“…The methodology incorporates the propensity score matching (PSM) at the endline year, employing three distinct matching algorithms, and PSM at the baseline, coupled with the difference-in-differences method. …”
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Rules for Flight Paths and Time of Flight for Flows in Porous Media with Heterogeneous Permeability and Porosity by Lihua Zuo, Ruud Weijermars

“…Porous media like hydrocarbon reservoirs may be composed of a wide variety of rocks with different porosity and permeability. …”
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Guaranteed efficient energy estimation of quantum many-body Hamiltonians using ShadowGrouping by Alexander Gresch, Martin Kliesch

“…In particular, efficient energy estimation may be crucial in achieving a quantum advantage for a practically relevant problem. …”
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In silico metabolism and toxicity prediction using a knowledge-based approach by Emilio Mateev, Maya Georgieva, Alexandrina Mateeva, Alexander Zlatkov

“…In this study, knowledge-based algorithms were utilized to predict the metabolism and toxicity of a previously identified dual-acting pyrrole-based compound using in silico methods. …”
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Optimization of the Regularization in Background and Foreground Modeling by Si-Qi Wang, Xiang-Chu Feng

“…But the sparse assumption in such a model may not conform with the reality, and the model cannot directly reflect the correlation between the background and foreground either. …”
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Paraneoplastic Leser-Trélat Syndrome: Clinical Manifestations, Diagnosis and Treatment by T. A. Gaydina, A. S. Dvornikov, P. A. Skripkina

“…A doctor of any specialty may encounter dermatological paraneoplastic syndromes in his practice, which are a group of skin diseases associated with malignant neoplasms, but not directly related to the primary tumor or its metastases. …”
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THE TIMELY EXECUTION OF CONTRACTS UNDER THE STATE DEFENSE ORDER IN PENAL ENFORCEMENT SERVICE ESTABLISHMENTS by A. A. Tarasov, N. V. Voronina

“…Hence the need for developing and practical use by ordering bodies of algorithms for procedures and process management. This will improve the quality of execution of contractual obligations by timely identification and adjustment of deviations from the schedule. …”
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Evaluating GDPR right to information implementation in automated insurance decisions by Jakobi Timo, Arslan Salih, Harms Patrick

“…Automated decision-making algorithms are increasingly prevalent in consumer-facing industries, particularly in insurance risk assessments. …”
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Phylogenetic quantification of intra-tumour heterogeneity. by Roland F Schwarz, Anne Trinh, Botond Sipos, James D Brenton, Nick Goldman, Florian Markowetz

“…The expansion of genetically distinct sub-clonal populations may explain the emergence of drug resistance, and if so, would have prognostic and predictive utility. …”
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Older LGBTQ+ and blockchain in healthcare: A value sensitive design perspective by Poulsen Adam, Fosch-Villaronga Eduard

“…Most algorithms deployed in healthcare do not consider gender and sex despite the effect they have on individuals’ health differences. …”
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Artificial intelligence in academic research: Benefits, challenges, and ethical dimensions in doctoral studies by Zaki EL HANI, Jaouad KARROUM, Abdelmajid ELOUADI, Aniss MOUMEN

“…However, this transformation is accompanied by challenges, including ethical concerns such as algorithmic bias, risks to data privacy, and over-reliance on automation, which may erode critical thinking and human judgment. …”
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A spiking neural network model of model-free reinforcement learning with high-dimensional sensory input and perceptual ambiguity. by Takashi Nakano, Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya

“…Spiking neural networks provide a theoretically grounded means to test computational hypotheses on neurally plausible algorithms of reinforcement learning through numerical simulation. …”
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A Comprehensive Analysis of Fake News Detection Models: A Systematic Literature Review and Current Challenges by Alok Mishra, Halima Sadia

“…The review, as mentioned above, provides a comprehensive analysis of key research findings, delving into pertinent issues that may impact individuals in the academic and professional realms interested in augmenting the reliability of automated FND models.…”
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Revisiting universal extra-dimension model with gravity mediated decays by Kirtiman Ghosh, Katri Huitu, Rameswar Sahu

“…Recognizing that current LHC search strategies are tailored for supersymmetric scenarios and may not fully capture the distinct signatures, we propose optimized strategies using machine learning algorithms to tag boosted SM bosons and enhance signal discrimination against SM backgrounds. …”
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Evaluation of Ramp Metering Impacts on Travel Time Reliability and Traffic Operations through Simulation by Mohammad K. H. Shehada, Alexandra Kondyli

“…It was also shown that ramp metering may cause a new (possibly “hidden”) bottleneck to occur downstream, thus diluting its overall benefits when looking at an entire freeway facility. …”
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Understanding HLA-DQ in renal transplantation: a mini-review by Rajdeep Das, Neil S. Greenspan

“…Emerging molecular mismatch algorithms refine immunogenicity assessments by analyzing amino acid differences and structural interactions. …”
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OpenJUMP HoRAE—A free GIS and toolbox for home‐range analysis by Stefan Steiniger, Andrew J. S. Hunter

“…The software is distributed under a free and open‐source license, so research can also benefit from the toolbox because implemented algorithms can be tested directly and improved. © 2012 The Wildlife Society.…”
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Interpreting Predictive Models through Causality: A Query-Driven Methodology by Mahdi Hadj Ali, Yann Le Biannic, Pierre-Henri Wuillemin

“…Machine learning algorithms have been widely adopted in recent years due to their efficiency and versatility across many fields. …”
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Efficient Model Calibration Using Submodels by P. T. M. Vermeulen, G. M. C. M. Janssen, T. Kroon

“…Model runs may take hours or days to complete which in fact, is often a reason to discard the history‐matching all together. …”
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Process mining in healthcare: a tertiary study by Adauto Santos, Gislaine Camila Lapasini Leal, Renato Balancieri

“…The Heuristics Miner and Fuzzy Miner algorithms were the most relevant, and oncology was the medical specialty in which process mining was most used. …”
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