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  Author: creativelivenew1   |   03 March 2025   |   Comments icon: 0
Musashi's Dokkodo The Way of the Lone Warrior
Free Download Musashi's Dokkodo: The Way of the Lone Warrior by Bohdi Sanders Ph.D., Sifu Al Dacascos
English | March 17, 2024 | ISBN: 1937884295 | 133 pages | EPUB | 11 Mb
Musashi's Dokkodo: The Way of the Lone Warrior is the definitive interpretation of Miyamoto Musashi's final text for today's world! This insightful book is an invaluable guide, brimming with life advice and valuable insights for personal growth and self-improvement! Discover the hidden genius of Miyamoto Musashi's final text, written one week before his death.

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  Author: creativelivenew1   |   03 March 2025   |   Comments icon: 0
Murder on the Inside The True Story of the Deadly Riot at Kingston Penitentiary
Free Download Murder on the Inside: The True Story of the Deadly Riot at Kingston Penitentiary by Catherine Fogarty
English | April 13, 2021 | ISBN: 1771964014 | 320 pages | PDF | 15 Mb
Shortlisted for the Speaker's Book Award

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  Author: creativelivenew1   |   03 March 2025   |   Comments icon: 0
Municipal Magdeburg Law (Ius municipale Magdeburgense) in Late Medieval Poland A Study on the Evolution and Adaptation of Law
Free Download &lt Maciej Mikua, i&gt, Jagiellonian University&lt, "Municipal Magdeburg Law (Ius municipale Magdeburgense) in Late Medieval Poland A Study on the Evolution and Adaptation of Law"
English | 2021 | ISBN: 9004429670 | PDF | pages: 492 | 6.8 mb
Maciej Mikua analyses the Ius municipale Magdeburgense<\/i>, the most important collection of Magdeburg Law in late medieval Poland, and shows that the adaptation of Magdeburg Law was a complex process.

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  Author: creativelivenew1   |   03 March 2025   |   Comments icon: 0
Multivariate Statistics
Free Download Multivariate Statistics: Classical Foundations and ModernMachine Learning
English | 2025 | ISBN: 1032758791 | 486 Pages | PDF EPUB (True) | 65 MB
This book explores multivariate statistics from both traditional and modern perspectives. The first section covers core topics like multivariate normality, MANOVA, discrimination, PCA, and canonical correlation analysis. The second section includes modern concepts such as gradient boosting, random forests, variable importance, and causal inference.

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  Author: creativelivenew1   |   03 March 2025   |   Comments icon: 0
Multiscale Thermo–Dynamics Introduction to GENERIC
Free Download Michal Pavelka, "Multiscale Thermo-Dynamics: Introduction to GENERIC"
English | ISBN: 3110350947 | 2018 | 292 pages | EPUB, PDF | 20 MB + 2 MB
One common feature of new emerging technologies is the fusion of the very small (nano) scale and the large scale engineering. The classical environment provided by single scale theories, as for instance by the classical hydrodynamics, is not anymore satisfactory. The main challenge is to keep the important details while still be able to keep the overall picture and simplicity. It is the thermodynamics that addresses this challenge. Our main reason for writing this book is to explain such general viewpoint of thermodynamics and to illustrate it on a very wide range of examples.

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  Author: creativelivenew1   |   03 March 2025   |   Comments icon: 0
Multiparameter Flow Cytometry in the Diagnosis of Hematologic Malignancies (2nd Edition)
Free Download Multiparameter Flow Cytometry in the Diagnosis of Hematologic Malignancies
English | 2025 | ISBN: 1009419099 | 189 Pages | PDF | 14 MB
Master the implementation of flow cytometry techniques in diagnosing complex hematologic diseases and malignancies in patients with this comprehensive and practical guide. Featuring updated recommendations on pre-analytical steps, instrument settings and panel construction, this manual offers invaluable support for those diagnosing, treating and researching hematologic malignancies. Written by leading experts in the field, this book puts flow cytometry into everyday context. Through engaging with differential diagnoses, the manual offers an accurate description of specific features of malignancies and mimicking conditions. It also places flow cytometry in the scope of integrated diagnosis according to WHO and ICC classifications. Fully updated throughout, this second edition provides new literature and concepts, and presents new AI-based analytical methods. Richly illustrated and in full colour, this book is an ideal resource for those working in flow cytometry laboratories.

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  Author: creativelivenew1   |   03 March 2025   |   Comments icon: 0
Multimodal and Tensor Data Analytics for Industrial Systems Improvement
Free Download Multimodal and Tensor Data Analytics for Industrial Systems Improvement by Nathan Gaw, Panos M. Pardalos, Mostafa Reisi Gahrooei
English | May 17, 2024 | ISBN: 3031530918 | 404 pages | MOBI | 30 Mb
This volume covers the latest methodologies for using multimodal data fusion and analytics across several applications. The curated content presents recent developments and challenges in multimodal data analytics and shines a light on a pathway toward new research developments. Chapters are composed by eminent researchers and practitioners who present their research results and ideas based on their expertise. As data collection instruments have improved in quality and quantity for many applications, there has been an unprecedented increase in the availability of data from multiple sources, known as modalities. Modalities express a large degree of heterogeneity in their form, scale, resolution, and accuracy. Determining how to optimally combine the data for prediction and characterization is becoming increasingly important. Several research studies have investigated integrating multimodality data and discussed the challenges and limitations of multimodal data fusion. This volume provides a topical overview of various methods in multimodal data fusion for industrial engineering and operations research applications, such as manufacturing and healthcare.

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  Author: creativelivenew1   |   03 March 2025   |   Comments icon: 0
Multimodal Learning toward Recommendation
Free Download Multimodal Learning toward Recommendation
English | 2025 | ISBN: 303183187X | 163 Pages | PDF (True) | 13 MB
First, it presents a semantic-guided feature distillation method which employs a teacher-student framework to robustly extract effective recommendation-oriented features from generic multimodal features. Next, it introduces a novel multimodal attentive metric learning method to model user diverse preferences for various items. Then it proposes a disentangled multimodal representation learning recommendation model, which can capture users' fine-grained attention to different modalities on each factor in user preference modeling. Furthermore, a meta-learning-based multimodal fusion framework is developed to model the various relationships among multimodal information. Building on the success of disentangled representation learning, it further proposes an attribute-driven disentangled representation learning method, which uses attributes to guide the disentanglement process in order to improve the interpretability and controllability of conventional recommendation methods. Finally, the book concludes with future research directions in multimodal learning toward recommendation.

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  Author: Baturi   |   03 March 2025   |   Comments icon: 0
X–Ability Winmostar 11.10.5
Free Download X-Ability Winmostar 11.10.5 | 38.4 Mb
Winmostar is an integrated GUI software designed for simulation programs such as GAMESS, MOPAC, LAMMPS, Gromacs, and Quantum ESPRESSO.

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  Author: creativelivenew1   |   03 March 2025   |   Comments icon: 0
Multimodal Data Fusion for Bioinformatics Artificial Intelligence
Free Download Multimodal Data Fusion for Bioinformatics Artificial Intelligence
English | 2025 | ISBN: 1394269935 | 396 Pages | PDF | 16 MB
Multimodal Data Fusion for Bioinformatics Artificial Intelligence is an indispensable resource for those exploring how cutting-edge data fusion methods interact with the rapidly developing field of bioinformatics. Beginning with the basics of integrating different data types, this book delves into the use of AI for processing and understanding complex "omics" data, ranging from genomics to metabolomics. The revolutionary potential of AI techniques in bioinformatics is thoroughly explored, including the use of neural networks, graph-based algorithms, single-cell RNA sequencing, and other cutting-edge topics.

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