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Linking theory to practice through the use of authentic clinical cases, Dr. Steven D. Waldman's Pain Medicine: A Case-Based Learning Series helps readers acquire the valuable skill of effective diagnostic thinking in daily practice. The Hip and Pelvis volume uses an in-depth case format, preparing you to correctly analyze clinical vignettes and formulate a clinically sound, evidence-based approach to realistic patient scenarios. This highly effective leaning and assessment tool provides practical clinical insights into the best methods for diagnosis and treatment for the successful management of patients with hip and pelvis-related pain.

Hip joint --- Pelvis --- Pain --- Pain. --- Hip Joint. --- Hip Injuries. --- Pelvis. --- Wounds and injuries --- Treatment. --- Pelvic Region --- Region, Pelvic --- Pelvimetry --- Injuries, Hip --- Hip --- Hip Joint --- Acetabulofemoral Joint --- Acetabulofemoral Joints --- Hip Joints --- Joint, Acetabulofemoral --- Joint, Hip --- Joints, Acetabulofemoral --- Joints, Hip --- Ache --- Pain, Burning --- Pain, Crushing --- Pain, Migratory --- Pain, Radiating --- Pain, Splitting --- Suffering, Physical --- Aches --- Burning Pain --- Burning Pains --- Crushing Pain --- Crushing Pains --- Migratory Pain --- Migratory Pains --- Pains, Burning --- Pains, Crushing --- Pains, Migratory --- Pains, Radiating --- Pains, Splitting --- Physical Suffering --- Physical Sufferings --- Radiating Pain --- Radiating Pains --- Splitting Pain --- Splitting Pains --- Sufferings, Physical --- Analgesia --- Pain Insensitivity, Congenital --- Analgesics --- Hyperalgesia --- Palliative Care --- Pain management --- Pain medicine --- Pelvic cavity --- Pelvic region --- Anatomy --- Coxa --- Joints --- injuries --- Pain medicine. --- Hip Injuries --- Algiatry --- Medicine

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The present book contains 14 articles that were accepted for publication in the Special Issue “Numerical Computation, Data Analysis and Software in Mathematics and Engineering” of the MDPI journal Mathematics. The topics of these articles include the aspects of the meshless method, numerical simulation, mathematical models, deep learning and data analysis. Meshless methods, such as the improved element-free Galerkin method, the dimension-splitting, interpolating, moving, least-squares method, the dimension-splitting, generalized, interpolating, element-free Galerkin method and the improved interpolating, complex variable, element-free Galerkin method, are presented. Some complicated problems, such as tge cold roll-forming process, ceramsite compound insulation block, crack propagation and heavy-haul railway tunnel with defects, are numerically analyzed. Mathematical models, such as the lattice hydrodynamic model, extended car-following model and smart helmet-based PLS-BPNN error compensation model, are proposed. The use of the deep learning approach to predict the mechanical properties of single-network hydrogel is presented, and data analysis for land leasing is discussed. This book will be interesting and useful for those working in the meshless method, numerical simulation, mathematical model, deep learning and data analysis fields.

Information technology industries --- cold-roll forming --- longitudinal strain --- cubic spline function --- cumulative chord --- elastic–plastic problem --- complex variable meshless method --- interpolating shape function --- singular weight function --- complete basis function --- mathematical model --- leased price --- total leased area --- data analysis --- residential land --- Beijing --- meshless method --- dimension splitting–interpolating moving least squares (DS-IMLS) method --- improved interpolating element-free Galerkin (IEFG) method --- potential problem --- traffic flow --- two-dimensional lattice hydrodynamic model --- driver’s predictive effect --- finite element method --- alkali-activated slag ceramsite compound insulation block --- ANSYS CFX --- thermal and mechanical performances --- indoor thermal environment --- dimension splitting method --- dimension splitting generalized interpolating element-free Galerkin method --- convection–diffusion–reaction problem --- deep learning --- hydrogel network --- mechanical property --- convolutional neural network --- self-avoiding walk --- personnel health monitoring --- construction site management --- smart helmet --- infrared temperature measurement --- temperature error compensation --- BP neural network --- COVID-19 --- peridynamics --- dual-horizon --- crack propagation --- variable horizon --- multi-grid --- car-following model --- visual angle model --- electronic throttle angle --- stability analysis --- heavy haul --- railway tunnel --- basement structure --- dynamic response characteristics --- defects --- the lattice hydrodynamic model --- control signal --- strong wind --- optimal estimation of flux difference integral --- improved element-free Galerkin method --- Helmholtz equation --- penalty method --- improved moving least-squares approximation --- n/a --- elastic-plastic problem --- dimension splitting-interpolating moving least squares (DS-IMLS) method --- driver's predictive effect --- convection-diffusion-reaction problem

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The present book contains 14 articles that were accepted for publication in the Special Issue “Numerical Computation, Data Analysis and Software in Mathematics and Engineering” of the MDPI journal Mathematics. The topics of these articles include the aspects of the meshless method, numerical simulation, mathematical models, deep learning and data analysis. Meshless methods, such as the improved element-free Galerkin method, the dimension-splitting, interpolating, moving, least-squares method, the dimension-splitting, generalized, interpolating, element-free Galerkin method and the improved interpolating, complex variable, element-free Galerkin method, are presented. Some complicated problems, such as tge cold roll-forming process, ceramsite compound insulation block, crack propagation and heavy-haul railway tunnel with defects, are numerically analyzed. Mathematical models, such as the lattice hydrodynamic model, extended car-following model and smart helmet-based PLS-BPNN error compensation model, are proposed. The use of the deep learning approach to predict the mechanical properties of single-network hydrogel is presented, and data analysis for land leasing is discussed. This book will be interesting and useful for those working in the meshless method, numerical simulation, mathematical model, deep learning and data analysis fields.

Information technology industries --- cold-roll forming --- longitudinal strain --- cubic spline function --- cumulative chord --- elastic-plastic problem --- complex variable meshless method --- interpolating shape function --- singular weight function --- complete basis function --- mathematical model --- leased price --- total leased area --- data analysis --- residential land --- Beijing --- meshless method --- dimension splitting-interpolating moving least squares (DS-IMLS) method --- improved interpolating element-free Galerkin (IEFG) method --- potential problem --- traffic flow --- two-dimensional lattice hydrodynamic model --- driver's predictive effect --- finite element method --- alkali-activated slag ceramsite compound insulation block --- ANSYS CFX --- thermal and mechanical performances --- indoor thermal environment --- dimension splitting method --- dimension splitting generalized interpolating element-free Galerkin method --- convection-diffusion-reaction problem --- deep learning --- hydrogel network --- mechanical property --- convolutional neural network --- self-avoiding walk --- personnel health monitoring --- construction site management --- smart helmet --- infrared temperature measurement --- temperature error compensation --- BP neural network --- COVID-19 --- peridynamics --- dual-horizon --- crack propagation --- variable horizon --- multi-grid --- car-following model --- visual angle model --- electronic throttle angle --- stability analysis --- heavy haul --- railway tunnel --- basement structure --- dynamic response characteristics --- defects --- the lattice hydrodynamic model --- control signal --- strong wind --- optimal estimation of flux difference integral --- improved element-free Galerkin method --- Helmholtz equation --- penalty method --- improved moving least-squares approximation

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This Special Issue contains some recently experimental and theoretical advances in hydrogen evolution reaction, oxygen evolution reaction, and oxygen reduction reaction, and the applications in water splitting, proton exchange membrane fuel cells, and lithium-ion batteries.

Technology: general issues --- History of engineering & technology --- Materials science --- SnSe --- 2D materials --- hydrogen evolution --- water splitting --- DFT calculations --- defect engineering --- proton exchange membrane fuel cell --- high energy efficiency --- durability --- degradation --- Pt/C catalyst --- anode --- flexible electronics --- nanosheets --- SnO2 --- oxygen reduction reaction --- fluorination --- density functional theory --- non-noble metal catalyst --- N-doped carbon catalyst --- hydrogen evolution reaction --- porous carbon --- PtNi alloy --- platinum --- nanoparticles --- electrochemistry --- reduced graphite oxide --- microwave --- ionic liquid --- tunable aryl alkyl ionic liquid --- metal-organic frameworks (MOF) --- electrocatalysis --- oxygen evolution reaction (OER) --- nickel --- ketjenblack --- Sm0.5Sr0.5Co1−xNixO3−δ --- perovskite --- cathode electrocatalyst --- OER/ORR --- two-dimensional metal-organic framework --- ligand --- single-atom catalysts --- oxygen evolution reaction --- n/a

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This Special Issue contains some recently experimental and theoretical advances in hydrogen evolution reaction, oxygen evolution reaction, and oxygen reduction reaction, and the applications in water splitting, proton exchange membrane fuel cells, and lithium-ion batteries.

SnSe --- 2D materials --- hydrogen evolution --- water splitting --- DFT calculations --- defect engineering --- proton exchange membrane fuel cell --- high energy efficiency --- durability --- degradation --- Pt/C catalyst --- anode --- flexible electronics --- nanosheets --- SnO2 --- oxygen reduction reaction --- fluorination --- density functional theory --- non-noble metal catalyst --- N-doped carbon catalyst --- hydrogen evolution reaction --- porous carbon --- PtNi alloy --- platinum --- nanoparticles --- electrochemistry --- reduced graphite oxide --- microwave --- ionic liquid --- tunable aryl alkyl ionic liquid --- metal-organic frameworks (MOF) --- electrocatalysis --- oxygen evolution reaction (OER) --- nickel --- ketjenblack --- Sm0.5Sr0.5Co1−xNixO3−δ --- perovskite --- cathode electrocatalyst --- OER/ORR --- two-dimensional metal-organic framework --- ligand --- single-atom catalysts --- oxygen evolution reaction --- n/a