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61

Gut Microbiota and Metabolic Alterations Associated with Heart Failure and Coronary Artery Disease.
Yafarova, Adel A. ; Dementeva, Elena V. ; Zlobovskaya, Olga A. ; et al.
International Journal of Molecular Sciences. Oct2024, Vol. 25 Issue 20, p11295. 24p.

CORONARY artery disease GUT microbiota HEART failure FECAL analysis POLYMERASE chain reactio...
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62

Assessing Microplastic Contamination in Beach Sediments Along the Eastern Algerian Coast: Distribution Patterns, Abundance, and Potential Origins.
Zeghdani, Zouhir ; Mohamedi, Mohamed Rida ; Bouchema, Nadhir ; et al.
Water Environment Research (10614303). Jan2026, Vol. 98 Issue 1, p1-13. 13p.

ALGERIA MICROPLASTICS COASTAL sediments ENVIRONMENTAL impact ana... MARINE organisms POLLUTION measurement …
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63

A novel fuzzy credit risk assessment decision support system based on the python web framework.
Chang, Yung-Chia ; Chang, Kuei-Hu ; Huang, Yi-Hsuan
Journal of Industrial & Production Engineering. Jul2020, Vol. 37 Issue 5, p229-244. 16p.

CREDIT analysis CREDIT risk PYTHON programming langu... RISK assessment DECISION support systems COMPUTER software
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64

Use of 4 Open-Ended Text Responses to Help Identify People at Risk of Gaming Disorder: Preregistered Development and Usability Study Using Natural Language Processing.
Strojny, Paweł ; Kapela, Ksawery ; Lipp, Natalia ; et al.
JMIR Serious Games. 2024, Vol. 12 Issue 1, p1-13. 13p.

GAMING disorder NATURAL language process... PSYCHOLOGICAL research MACHINE learning DATA analysis
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65

Assessment of the Condition of the Project Environment for the Implementation of Technologically Integrated Projects of the "European Green Deal" Using Maize Waste.
Tryhuba, Anatoliy ; Hutsol, Taras ; Tryhuba, Inna ; et al.
Energies (19961073). Nov2022, Vol. 15 Issue 21, p8220. 19p.

UKRAINE BLOCK diagrams CLEAN energy
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66

Modelado de la Volatilidad del Índice Minero S&P BVL Utilizando Máquinas de Vectores de Soporte y un Modelo GARCH Lineal
Puente De La Vega Caceres, Abraham ; Aucapuri Vallenas, Adela Leticia ; Candia Candia, Cinthia ; et al.
Integración, ISSN 2790-2145, Vol. 8, Nº. 1, 2024 (Ejemplar dedicado a: Enero-Junio 2024), pags. 26-32

Volatilidad Pronóstico GARCH Volatility Forecasting
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68

Detection of Large-Scale Floods Using Google Earth Engine and Google Colab ; Détection des inondations à grande échelle à l'aide de Google Earth Engine et Google Colab
Johary, Rosa ; Révillion, Christophe ; Catry, Thibault ; et al.
ISSN: 2072-4292 ; Remote Sensing ; https://hal.univ-reunion.fr/hal-04330974 ; Remote Sensing, 2023, 15 (22), pp.5368. ⟨10.3390/rs15225368⟩.

flood radar imagery Sentinel-1 Google Earth Engine Python [SPI.SIGNAL]Engineering... …
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69

Underwater HNS Release: Modeling Gas Behavior
Lepers, Ludovic ; Legrand, Sébastien ; Le Bihan, Thomas ; et al.
EGU General Assembly 2025 ; https://imt-mines-ales.hal.science/hal-05049243 ; EGU General Assembly 2025, Apr 2025, Vienne, Austria. ⟨10.5194/egusphere-egu25-10959⟩

Vienne Austria [QFIN.RM]Quantitative Fi...
Konferenz
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71

Financial Data Analytics with Machine Learning, Optimization and Statistics
Sam Chen ; Ka Chun Cheung ; Phillip Yam ; et al.

Finance--Data processing
E-Book
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72

Approximate Bayesian Computations to fit and compare insurance loss models
Goffard, Pierre-Olivier ; Laub, Patrick ; Université Claude Bernard Lyon 1 (UCBL) ; et al.
ISSN: 0167-6687.

likelihood- free inferen... risk management approximate Bayesian com... Bayesian statistics [STAT]Statistics [stat] [STAT.AP]Statistics [sta... …
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73

Python for Finance
Yves J. Hilpisch ; Yves J. Hilpisch

Financial engineering--D... Finance--Statistical met... Python (Computer program... Programming languages (E...
E-Book
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74

Financial Modeling Using Quantum Computing : Design and Manage Quantum Machine Learning Solutions for Financial Analysis and Decision Making
Anshul Saxena ; Javier Mancilla ; Iraitz Montalban ; et al.

Finance--Mathematical mo... Quantum computing Machine learning
E-Book
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75

Hands-On Deep Learning for Finance : Implement Deep Learning Techniques and Algorithms to Create Powerful Trading Strategies
Luigi Troiano ; Arjun Bhandari ; Elena Mejuto Villa ; et al.

Deep learning (Machine l... Electronic trading of se...
E-Book
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76

Quantitative Portfolio Management
Pierre Brugière ; Pierre Brugière

Portfolio management Portfolio management--Ma...
E-Book
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77

Smart Real Estate: The Role of IoT in Shaping the Next Generation of Residential and Commercial Properties
Ademowo, Adedotun

IoT Smart Real Estate Energy Management Operational Efficiency Tenant Satisfaction Sustainability …
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78

Approximate Bayesian Computations to fit and compare insurance loss models
Goffard, Pierre-Olivier ; Laub, Patrick ; Université Claude Bernard Lyon 1 (UCBL) ; et al.
https://hal.archives-ouvertes.fr/hal-02891046 ; 2020.

Bayesian statistics approximate Bayesian com... likelihood- free inferen... risk management [STAT]Statistics [stat] [STAT.AP]Statistics [sta... …
Report
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79

Predictive Analysis of Raw Material Stock at Puri Food and Healthy, an SME, Using the Long Short-Term Memory (LSTM) Method
Bangun, Pery Chandria ; Juanta, Palma ; Nizam, Muhammad Fachrul
Jurnal Sisfokom (Sistem Informasi dan Komputer); Vol. 14 No. 4 (2025): NOVEMBER; 461-466 ; 2581-0588 ; 2301-7988

Stock Prediction SME LSTM Nira Deep Learning
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80

Development of a Dispersion Back-Tester and Application of the Fama-French 5-Factor Model for Equity Derivative Portfolios
Rosenberg, Jasper
CMC Senior Theses

Dispersion Volatility Equity-Derivatives Correlation Portfolios Corporate Finance …
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