LEADER 06090nam 2200685 450 001 9910140492303321 005 20230807204745.0 010 $a1-118-66195-8 010 $a1-118-66193-1 010 $a1-118-66196-6 035 $a(CKB)2670000000592272 035 $a(EBL)1936430 035 $a(SSID)ssj0001421095 035 $a(PQKBManifestationID)11770440 035 $a(PQKBTitleCode)TC0001421095 035 $a(PQKBWorkID)11409388 035 $a(PQKB)10616636 035 $a(MiAaPQ)EBC1936430 035 $a(DLC) 2014036363 035 $a(Au-PeEL)EBL1936430 035 $a(CaPaEBR)ebr11015191 035 $a(CaONFJC)MIL718766 035 $a(OCoLC)902957902 035 $a(EXLCZ)992670000000592272 100 $a20150209h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aFat removal $einvasive and non-invasive body contouring /$fedited by Mathew M. Avram 210 1$aChichester, England :$cWiley,$d2015. 210 4$d©2015 215 $a1 online resource (163 p.) 300 $aDescription based upon print version of record. 311 $a1-4443-3428-X 311 $a1-322-87484-0 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright; Contents; List of contributors; Abbreviations; Chapter 1 Introduction; Anatomy and physiology of adipose tissue; White adipose tissue; Brown adipose tissue; Adipogenesis: from stem cell to fat cell; Summary; References; Chapter 2 Facial fat: anatomy and implications for rejuvenation; Introduction; Aging changes in multiple structural tissues; Skin; Muscle; Bone; Fat; Summary; Conclusions/future directions; References; Chapter 3 Histology and pathology of subcutaneous tissue; White adipose tissue; Histology; Physiology; Growth and regulation; Brown adipose tissue 327 $aHistologyPhysiology; Tumors of fat; Panniculitis; Septal panniculitis; Lobular panniculitis; Panniculitis induced by cosmetic procedures; References; Chapter 4 Injectable treatments for fat and cellulite; Introduction; Clarification of terms and history; Lipolysis, injection lipolysis, pharmaceutical lipoplasty, adipolysis, and adipolytic therapy; Brief history of mesotherapy, Lipostabil®, Lipodissolve®, and the role of the compounding pharmacy; Clarifying the roles of deoxycholate and phosphatidylcholine; The PC hypothesis; Focus on DC; Detergents and tissue interactions 327 $aMechanism of fat reduction and further implications on efficacy and safetyThe fate of adipolytic therapy; LIPO-102 and related lipolytic agents; Injectables for cellulite; Conclusions; References; Chapter 5 The architecture of cellulite; Introduction; What defines cellulite?; Sexually dimorphic skin architecture; Altered connective tissue septae; Vascular changes; Inflammatory factors; Gender differences in lipid metabolism; What type of fat is cellulite made of?; Other factors; Conclusion; References; Chapter 6 Cellulite treatment; Brief overview of cellulite; Cellulite anatomy 327 $aCellulite gradingApproach to a patient with cellulite; Recent advances and controversies in cellulite treatment; TriActive in the treatment of cellulite; Treatment protocol; VelaSmooth and VelaShape; Mechanism of action; Treatment protocol; SmoothShapes; Mechanism of action; Treatment protocol; Use of RF devices for the treatment of cellulite; Mechanism of action; Accent; Treatment protocol; Thermage; Treatment protocol; Other laser devices for the treatment of cellulite; Conclusion; References; Chapter 7 Cooling for fat; Introduction; Cryolipolysis; Preclinical studies 327 $aProposed mechanism of actionClinical effects of cryolipolysis; Patient selection; Consultation; Preoperative procedures/considerations; Pearls; Complications: how to avoid them and how to treat them; Postoperative care/considerations; Summary; References; Chapter 8 Laser lipolysis and laser-assisted liposuction; Introduction; History of laser lipolysis; Wavelength and pulse duration; Indications and patient selection; Laser lipolysis procedure; Complications; Skin effects; Summary; References; Chapter 9 Soft tissue augmentation for facial lipoatrophy and volumization; Introduction 327 $aHyaluronic acid derivatives 330 $a"The perception of an inadequate body shape is a cause of concern to many people, and new techniques for altering body shape are increasingly being developed and offered to patients. Of these, the removal and transfer of fat is fast growing in importance and availability. This practical guide offers a comprehensive overview of this rapidly-evolving field, and thorough coverage of the implementation of fat removal techniques, both invasive and non-invasive, in a cosmetic practice. It begins with an overview of basic fat anatomy and physiology as an important introduction to this topic. The distinction between the physiology and treatment of cellulite and fat is also discussed. The next section of the book covers invasive treatments of fat such as traditional liposuction, laser-assisted liposuction, fat transfer procedures and mesotherapy. The latter half of the book largely focuses on non-invasive treatments for fat, including radiofrequency, ultrasound, cooling and laser technologies for fat removal. Throughout, potential complications and pitfalls of the various treatments are discussed. Edited by Matthew Avram, with contributions from a group of clinical stars, this book will appeal to cosmetic dermatologists, plastic surgeons, aesthetic medical practitioners, and obstetricians/gynaecologists"--Provided by publisher. 606 $aSurgery, Plastic 606 $aLiposculpture 606 $aLipectomy 615 0$aSurgery, Plastic. 615 0$aLiposculpture. 615 0$aLipectomy. 676 $a617.9/52 702 $aAvram$b Mathew M. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910140492303321 996 $aFat removal$92172550 997 $aUNINA LEADER 06773nam 22006735 450 001 996550553303316 005 20230921055544.0 010 $a3-031-44204-0 024 7 $a10.1007/978-3-031-44204-9 035 $a(MiAaPQ)EBC30751490 035 $a(Au-PeEL)EBL30751490 035 $a(DE-He213)978-3-031-44204-9 035 $a(PPN)272734772 035 $a(EXLCZ)9928275767500041 100 $a20230921d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Neural Networks and Machine Learning ? ICANN 2023$b[electronic resource] $e32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26?29, 2023, Proceedings, Part X /$fedited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (575 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14263 311 08$aPrint version: Iliadis, Lazaros Artificial Neural Networks and Machine Learning - ICANN 2023 Cham : Springer,c2023 9783031442032 327 $aA Comparative Study of Sentence Embedding Models for Assessing Semantic Variation -- A Deep Learning based Method for Generating Holographic Acoustic Fields from Phased Transducer Arrays -- A Depth-guided Attention Strategy for Crowd Counting -- A Noise Convolution Network for Tampering Detection -- Attention-based Feature Interaction Deep Factorization Machine for CTR Prediction -- Block-level Stiffness Analysis of Residual Networks -- CKNA: Kernel Hyperparameters Optimization Method for Group-wise CNNs -- Conditional Convolution Residual Network for Efficient Super-Resolution -- Cross Attention with Deep Local Features for Few-shot Image Classification -- Deep Video Compression Based on 3D Convolution Artifacts Removal and Attention Compression Module -- Deep-learning Based Three Channel Defocused Projection Profilometry -- Depthwise Convolution with Channel Mixer: Rethinking MLP in MetaFormer for Faster and More Accurate Vehicle Detection -- DLUIO: Detecting Useful Investor Opinions by Deep Learning -- Dynamic obstacle avoidance for unmanned aerial vehicle using dynamic vision sensor -- Empirical Study on the Effect of Residual Networks on the Expressiveness of Linear Regions -- Energy Complexity Model for Convolutional Neural Networks -- Enhancing the Interpretability of Deep Multi-Agent Reinforcement Learning via Neural Logic Reasoning -- Evidential Robust Deep Learning for Noisy Text2text Question Classification -- FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction -- Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks -- Interaction of Generalization and Out-of-Distribution Detection Capabilities in Deep Neural Networks -- Long-distance Pipeline Intrusion Warning Based on Environment Embedding From Distributed Optical Fiber Sensing -- LSA3D: Lightweight Separate Asynchronous 3D Convolutional Neural Network for Gait Recognition -- MADNet: EEG-based Depression Detection using a Deep Convolution Neural Network Framework with Multi-dimensional Attention -- Maintenance automation using deep learning methods a case study from the aerospace industry -- MCASleepNet: Multimodal channel attention-based deep neural network for automatic sleep staging -- Multi-label Image Deep Hashing with Hybrid Loss of Global Center and Local Alignment -- Multi-relation Representation Learning based Deep Network for Patent Classification -- One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis -- Patches Channel Attention For Human Sitting Posture Recognition -- RA-Net: A Deep Learning Approach based on Residual Structure and Attention Mechanism for Image Copy-move Forgery Detection -- Rethinking CNN Architectures in Transformer Detectors -- Robustness of Biologically-inspired filter-based ConvNet to Signal Perturbation -- Self-Supervised Graph Convolution for Video Moment Retrieval -- Siamese Network based on MLP and Multi-head Cross Attention for Visual Object Tracking -- Taper Residual Dense Network for Audio Super-Resolution -- VPNDroid: Malicious Android VPN detection using a CNN-RF method -- Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics -- BLR:A multi-modal sentiment analysis model -- Detecting Negative Sentiment on Sarcastic Tweets for Sentiment Analysis -- Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality -- Prompt-oriented Fine-tuning Dual Bert for Aspect-Based Sentiment Analysis -- Towards Energy-Efficient Sentiment Classification with Spiking Neural Networks -- Using Masked Language Modeling to Enhance BERT-based Aspect-Based Sentiment Analysis for Affective Token Prediction. 330 $aThe 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26?29, 2023. The 426 full papers and 9 short papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14263 606 $aArtificial intelligence 606 $aApplication software 606 $aComputer engineering 606 $aComputer networks 606 $aComputers 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aComputer Engineering and Networks 606 $aComputing Milieux 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aComputers. 615 14$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Engineering and Networks. 615 24$aComputing Milieux. 676 $a006.3 700 $aIliadis$b Lazaros$0871694 701 $aPapaleonidas$b Antonios$01429354 701 $aAngelov$b Plamen$0845344 701 $aJayne$b Chrisina$01380245 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996550553303316 996 $aArtificial Neural Networks and Machine Learning ? ICANN 2023$93568329 997 $aUNISA