Stock market trading via actor-critic reinforcement learning and adaptable data structure by Cesar Guevara

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Comparison of sequence- and structure-based antibody clustering approaches on simulated repertoire sequencing data. by Katharina Waury, Stefan Lelieveld, Sanne Abeln, Henk-Jan van den Ham

“…A comprehensive comparison of the benefits and limitations of structure-based tools on realistic and diverse repertoire data is missing. …”
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Sparse Representation of Deformable 3D Organs with Spherical Harmonics and Structured Dictionary by Dan Wang, Ahmed H. Tewfik, Yingchun Zhang, Yunhe Shen

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Using Large Language Models for Extracting Structured Information From Scientific Texts by Rettenberger Luca, Münker Marc F., Schutera Mark, Niemeyer Christof M., Rabe Kersten S., Reischl Markus

“…Our open-source method automates extracting information from verbose texts, converting them into structured and easily navigable data. This considerably improves scientific literature research by utilizing the power of LLMs and paves the way for enhanced and faster information extraction from extensive scientific texts.…”
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Bridging the Post-Excavation Gaps: Structured Guidance and Training for Post-Excavation in Archaeology by May Keith, Taylor James, Aitchison Kenneth

“…This article explores the pressing need for consistent structured guidance and training in post-excavation (PX) skills within the field of archaeology. …”
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Environmental Implications of Drone-Based Delivery Systems: A Structured Literature Review by Abhijeet Kumar, Victor Prybutok, Vikas Kumar Reddy Sangana

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Understanding climate-sensitive tick development and diapause with a structured population model by Kamil Erguler, Anastasios Saratsis, Gerhard Dobler, Lidia Chitimia-Dobler

“…Understanding the environmental factors that sustain tick populations is crucial for enhancing prevention and control measures.MethodsThis study presents a multi-process structured population model that simulates nymph activity, development, and diapause in response to temperature and photoperiod. …”
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Introduction of Objective Structured Viva Examination in Anatomy of First-phase MBBS Students by Bashir Ahmad Shah, Parvez Ahmad Lone, Samia Bashir, S. M. Muhalil

“…Background: The introduction of the objective structured viva examination (OSVE) in anatomy aims to enhance the objectivity, fairness, and efficiency of medical education assessments. …”
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Structured Transformation of Unstructured Prostate MRI Reports Using Large Language Models by Luca Di Palma, Fatemeh Darvizeh, Marco Alì, Deborah Fazzini

“…These models can improve clinical workflows by structuring unstructured medical text. However, a preliminary analysis of reporting styles is necessary to identify potential challenges and optimize prompt design to better align with individual physician reporting styles. …”
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Traditional Versus Objective Structured Clinical Examination on Pediatric Nursing Students’ Performance by Khadiga M. Said, Safaa F. Draz

“…Four tools were utilized to collect data for the current study. A Structured Questionnaire Sheet, A modified Self-administered Questionnaire, Pediatric Nursing Students' Practice Observational Checklists, and Clinical Scenarios were designed to assess the pediatric nursing student OSCE exam and compare between the traditional method and OSCE method of exams. …”
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Structured expert judgement approach of the health impact of various chemicals and classes of chemicals. by Deniz Marti, David Hanrahan, Ernesto Sanchez-Triana, Mona Wells, Lilian Corra, Howard Hu, Patrick N Breysse, Amalia Laborde, Jack Caravanos, Roberto Bertollini, Kate Porterfield, Richard Fuller

“…<h4>Structured expert judgment (sej) process</h4>A Structured Expert Judgment (Research Outreach, 2021) process was performed to provide plausible estimates of health impacts for 16 commonly found pollutants: asbestos, arsenic, benzene, chromium, cadmium, dioxins, fluoride, highly hazardous pesticides (HHPs), lead, mercury, polycyclic-aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), Per- and Polyfluorinated Substances (PFAs), phthalates, endocrine disrupting chemicals (EDCs), and brominated flame retardants (BRFs). …”
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Digital Educational History Database Structure for Solving Learning Analytics Tasks by Tatyana Zykova, Alexey Kytmanov, Tatyana Kustitskaya, Roman Esin

“…Based on an analysis of existing information systems and databases of Siberian Federal University, we propose an approach to designing the structure of the university education database, including various levels of detail of student data. …”
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Structured-illumination reflectance imaging for the evaluation of microorganism contamination in pork: effects of spectral and imaging features on its prediction performance by Binjing Zhou, Xiaohua Liu, Yan Ge, Kang Tu, Jing Peng, Juan Francisco García-Martín, Jie Wu, Weijie Lan, Leiqing Pan

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Toward an Efficient and Robust Process–Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures by Yu Qiao, Marius Grad, Aida Nonn

“…Additive manufacturing (AM), particularly laser powder bed fusion (L-PBF), provides unmatched design flexibility for creating intricate steel structures with minimal post-processing. However, adopting L-PBF for high-performance applications is difficult due to the challenge of predicting microstructure evolution. …”
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Digital automatic measurement method for geological information of rock mass structure by Shuangfeng Guo, Runen Qi, Peng Zhang, Aoquan Hu

Subjects: “…Rock mass structural plane…”
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Scanning the Universe for Large-Scale Structures Using Gamma-Ray Bursts by Istvan Horvath, Zsolt Bagoly, Lajos G. Balazs, Jon Hakkila, Bendeguz Koncz, Istvan I. Racz, Peter Veres, Sandor Pinter

Subjects: “…cosmology: large-scale structure of the universe…”
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Modal Parameters Estimation of Building Structures from Vibration Test Data Using Observability Measurement by Jae-Seung Hwang, Hongjin Kim, Bong-Ho Cho

“…The numerical simulation is performed to evaluate the proposed procedure, and the results show that the modal participation factor and mode shapes are estimated from the structural responses accurately. The procedure is also applied to the experimental data obtained from the shaking table test of a three-story shear building model.…”
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The Data-Driven Performance Prediction of Lattice Structures: The State-of-the-Art in Properties, Future Trends, and Challenges by Siyuan Yang, Ning Dai, Qianfeng Cao

Subjects: “…lattice structure…”
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Delineation of mineralization-related geologic structures and lithological units using airborne magnetic and radiometric data by Christian Ordóñez, Stephen Eguba Ekwok, Ahmad Alkhayaat, Pardeep Singh Bains, Rohit Sharma, Raman Kumar, Ankur Kulshreshta, Vikasdeep Singh Mann, Yasser Elmasry

Subjects: “…Geologic structures…”
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Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network by Zhesi Cui, Qiyu Chen, Jian Luo, Xiaogang Ma, Gang Liu

“…In this study, we introduce a multiple‐condition fusion network (MCF‐Net) to characterize subsurface structures based on both hard and soft data. To harness the full potential of multiple‐source subsurface observations, two distinct neural networks extract implicit features from hard and soft data. …”
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