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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration!  Free Download Patterns for Building AI Agents English | 2025 | ASIN: B0FXF5T79G | 93 Pages | PDF | 3 MB The gap between prototype and production is where most AI teams stumble. Written by the co-creator of a popular agent framework, Patterns for Building AI Agents captures practical strategies emerging in the year of agents:  Free Download Patisserie mit dem Thermomix: 100 feine Dessert- und Backrezepte. Torten, Törtchen, Tartes, Tartelettes, Cremes und Petit fours Deutsch | 2025 | ISBN: 3959619189 | 313 Pages | EPUB | 18 MB  Free Download Patient Involvement in Health Technology Assessment English | 2026 | ISBN: 3032112834 | 534 Pages | PDF EPUB (True) | 20 MB This extensively revised and updated Open Access book offers a comprehensive guide to involving patients in health technology assessment (HTA). Defining patient involvement as research into patient aspects (patients' experiences, preferences, perspectives, needs) and patient participation in HTA (individual HTAs, methods, processes, governance and policy) it includes detailed explanations of methodologies and approaches, as well as case studies.  Free Download Passport to Flavor by Abby Cheshire; English | 2026 | ISBN: 1400251680 | 289 pages | True PDF | 41.96 MB  Free Download Passive Income For Dummies by Paul Mladjenovic; English | 2026 | ISBN: 1394390432 | 290 pages | True PDF | 9.51 MB  Free Download Particles, Fields and Topology: Celebrating A P Balachandran English | 2023 | ISBN: 9811270422 | 340 Pages | PDF | 48 MB A P Balachandran has a long and impressive record of research in particle physics and quantum field theory, bringing concepts of geometry, topology and operator algebras to the analysis of physical problems, particularly in particle physics and condensed matter physics. He has also had an influential role within the physics community, not only in terms of a large number of students, research associates and collaborators, but also serving on the editorial boards of important publications, including the International Journal of Modern Physics A.  Free Download Particle Swarm Optimizer and Multi-Objective Optimization by Feng Pan;Qi Gao;Xiao-xue Feng;Wei-xing Li; English | 2025 | ISBN: 0711288909 | 235 pages | True PDF EPUB | 27.92 MB  Free Download Parenting Anxiety by Meredith Elkins, PhD; English | 2026 | ISBN: 0593798813 | 352 pages | True EPUB | 8.11 MB  Free Download Parathyroid Imaging English | 2026 | ISBN: 303214177X | 222 Pages | PDF EPUB (True) | 67 MB It delves into the technical details of each imaging technique, evaluates their accuracy in diverse clinical settings, provides comparative analyses, and discusses their cost-effectiveness. Parathyroid imaging is crucial for detecting hyperfunctioning parathyroid glands, especially in cases of primary hyperparathyroidism. Accurate localization of parathyroid glands is essential for successful surgical intervention. Minimally invasive parathyroidectomy, which is the only curative treatment for primary hyperparathyroidism, offers numerous advantages over traditional bilateral neck exploration. However, the success of this approach heavily relies on both the surgeon's expertise and, particularly, on accurate preoperative imaging.  Free Download Parameter Identification for a Stochastic Partial Differential Equation in the Nonstationary Case English | 2026 | ISBN: 3658503432 | 82 Pages | PDF EPUB (True) | 4.4 MB This thesis investigates the mathematical problem of parameter identification in an equation arising from the study of how cells move on an embryo during its development. The motion of the cells can be modeled as particles evolving on a two-dimensional manifold according to a stochastic differential equation. The specific focus here is on estimating the drift parameter of this equation by observing the positions of a finite number of particles at different points in time. The general approach to approximate the solution of this ill-posed problem is to minimize a Tikhonov functional based on a regularized log-likelihood. |
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