LEADER 00879nam0-22003011i-450- 001 990004275590403321 005 20121109201904.0 035 $a000427559 035 $aFED01000427559 035 $a(Aleph)000427559FED01 035 $a000427559 100 $a19990604d1990----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $af-------00-c- 200 1 $a<>ingresso trionfale di Leone X in Firenze nel 1515$fIlaria Ciseri 210 $aFirenze$cOlschki$d1990 215 $aVII, 330 p., 11 tav.$d23 cm 225 1 $aBiblioteca storica toscana$v26 676 $a945.06$v21$zita 700 1$aCiseri,$bIlaria$0169687 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004275590403321 952 $a945.06 CIS 1$bBibl.20889$fFLFBC 959 $aFLFBC 996 $aIngresso trionfale di Leone X in Firenze nel 1515$9490275 997 $aUNINA LEADER 04990nam 22005413u 450 001 9910453270503321 005 20210108082732.0 010 $a0-19-977496-X 035 $a(CKB)2550000001204604 035 $a(EBL)679331 035 $a(SSID)ssj0001147053 035 $a(PQKBManifestationID)12373309 035 $a(PQKBTitleCode)TC0001147053 035 $a(PQKBWorkID)11130502 035 $a(PQKB)10268291 035 $a(MiAaPQ)EBC679331 035 $a(EXLCZ)992550000001204604 100 $a20151123d2004|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMastery of Obsessive-Compulsive Disorder$b[electronic resource] $eA Cognitive-Behavioral Approach Therapist Guide 210 $cOxford University Press, USA$d2004 215 $a1 online resource (192 p.) 225 1 $aGraywind Publications 300 $aDescription based upon print version of record. 311 $a0-19-518682-6 327 $aCover; Contents; Section 1: Description and Assessment of OCD; Chapter 1: Symptoms of OCD; Introduction; Definition of OCD; Prevalence; Course; Associated Disorders; Chapter 2: Theories of OCD; Learning Theories; Cognitive Theories; Neurochemical Theories; Neuroanatomical Factors; Chapter 3: Assessment of OCD; Diagnostic Interview; Differential Diagnosis; Section 2: Available Treatement of OCD; Chapter 4: Psychosocial Therapy for OCD; Cognitive-Behavioral Treatment; Cognitive Therapy; Chapter 5: Pharmaeotherapy for OCD; Serotonergic Medications; Combined Treatment by Exposure and Medication 327 $aChapter 6: Choice of TreatmentDiscussion of Treatment Options With the Client; Additional Considerations; Section 3: Cognitive-Behavioral Treatment by Exposure and Ritual Prevention; Chapter 7: Treatment Planning: Understanding and Persuading; Understanding the Client; Persuading the Client; Chapter 8: Treatment Planning: In Vivo Exposure; Creating a List of Exposure Situations; Sample Exposure Plans; Chapter 9: Treatment Planning: Imagina Exposure; Medium of Exposure; Problems With Imaginal Exposure; Guidelines for Imaginal Exposure; Model Introduction to Imaginal Exposure 327 $aSample Narrative Script for Imaginal ExposureChapter 10: Treatment Planning: Ritual Prevention; Introducing the Concept and Persuading the Client; Sample Guidelines for Refraining From Rituals; Self-Monitoring of Rituals; Chapter 11: Treatment Planning: Social Support; Patterns of Collaboration; Interpersonal Conflicts; Chapter 12: Reviewing the Plan: Explicating the Contract; Chapter 13: Beginning Exposure: Revision and Consent; Goals of the Exposure Sessions; The Importance of Consistency; Refining the Program; A Typical Exposure Session; Homework Instructions 327 $aChapter 14: Middle Exposure: From Bete Noir to Paper TigerIntroducing the Most Difficult Exposures; Tactics for Helping the Clients; Alternatives to the Planned Exposure; Crises Unrelated to Exposure; Chapter 15: End Exposure: Theme and Variations; Repetitions and Generalizations; Teaching Normal Patterns of Behavior; Rules for ""Normal"" Behavior; Chapter 16: Relapse Prevention: Self-Exposure; The Process of Relapse; Rules for Self-Exposure; Stress-Management Techniques; Meeting With Significant Others; New Activities and Interests; Scheduling Follow-Up Contacts 327 $aChapter 17: Resistance and Other DifficultiesConcealment of Symptoms; Symptom (Ritual) Substitution; Unforbidden Avoidance; Incomplete Abstinence From Rituals; Handling Arguments; Emphasizing the Client's Control Over Treatment; Intermediate Tasks; Emotional Obstacles; Chapter 18: Adjustment for Clients With Mental Retardation; Diagnosis of OCD; Treatment of OCD; Chapter 19: Adjustment for Children; Comorbidity in Pediatric OCD; Adjustment of Exposure Treatment; Teaching Children and Families About OCD; Pace of Exposure for Children; A Model Treatment Program 327 $aFamily Involvement With Treatment 330 $aThis program has at its foundation the use of ritual prevention and prolonged actual and imaginable exposure exercises. Therapists will learn the best methods for assessing OCD and formulating a treatment program tailored to their client's particular OCD symptoms. Sample lists of exposure items are provided for fear of contamination, fear of supernatural harm, and fear of causing harm to self and others by acts of negligence. This Therapist Guide is designed to help psychotherapists in assessing and treating obsessive-compulsive disorder (OCD). It is divided into three sections. In the first s 410 0$aGraywind Publications 608 $aElectronic books. 676 $a616.8522706 700 $aFoa$b Edna B$0926795 701 $aKozak$b Michael J$0926796 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910453270503321 996 $aMastery of Obsessive-Compulsive Disorder$92081358 997 $aUNINA LEADER 09024nam 2200505 450 001 996499854303316 005 20230408172347.0 010 $a981-19-8350-X 035 $a(MiAaPQ)EBC7146406 035 $a(Au-PeEL)EBL7146406 035 $a(CKB)25461612500041 035 $a(PPN)266350208 035 $a(EXLCZ)9925461612500041 100 $a20230408d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aWireless sensor networks $e16th China conference, CWSN 2022, Guangzhou, China, November 10-13, 2022, proceedings /$fedited by Huadong Ma [and five others] 210 1$aGateway East, Singapore :$cSpringer,$d[2023] 210 4$d©2023 215 $a1 online resource (243 pages) 225 1 $aCommunications in Computer and Information Science Ser. ;$vv.1715 311 08$aPrint version: Ma, Huadong Wireless Sensor Networks Singapore : Springer,c2023 9789811983498 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Organization -- Contents -- MmLiquid: Liquid Identification Using mmWave -- 1 Introduction -- 2 Related Work -- 2.1 Wireless Sensing -- 2.2 Liquid Identification -- 3 Background and Motivation -- 3.1 mmWave Background -- 3.2 Liquid Properties and mmWave -- 3.3 Preliminary Study and Motivation -- 4 Overview -- 5 MmLiquid Design -- 5.1 Data Collection Module -- 5.2 Data Reconstruction Module -- 5.3 Classification Model -- 6 Performance Evaluation -- 6.1 Implementation -- 6.2 Liquid Identification Performance -- 7 Conclusion -- References -- PASD: A Prioritized Action Sampling-Based Dueling DQN for Cloud-Edge Collaborative Computation Offloading in Industrial IoT -- 1 Introduction -- 2 Related Work -- 3 System Model -- 3.1 Task Model -- 3.2 Transmission Model -- 3.3 Computing Model -- 3.4 Problem Formulation -- 4 Computation Offloading and Resources Allocation with PASD -- 4.1 MDP -- 4.2 PASD Model -- 5 Evaluation -- 5.1 Experimental Environment -- 5.2 Parameter Settings -- 5.3 Experimental Results -- 6 Conclusion -- References -- Automatic Construction of Large-Scale IoT Datasets with Multi-strategy Fusion -- 1 Introduction -- 2 Dataset Construction Methods -- 2.1 Construction of Original Data -- 2.2 Data Classification and Filtering -- 2.3 Refinement of the Data -- 2.4 Data Standardization -- 3 Data Analysis and Application -- 4 Conclusion -- References -- Research on Argo Data Anomaly Detection Based on Improved DBSCAN Algorithm -- 1 Introduction -- 2 Related Work -- 3 Improved Algorithm -- 3.1 Argo Buoy Dataset -- 3.2 Dataset Processing -- 3.3 Parameter Pair Selection Mechanism -- 3.4 Algorithm Clustering Process -- 4 Experimental Results and Discussion -- 4.1 Dataset Processing -- 4.2 Threshold Selection -- 4.3 Analysis of Experimental Results -- 5 Conclusion -- References. 327 $aFog Federation Pricing and Resource Purchase Based on the Stackelberg Model in Fog Computing -- 1 Introduction -- 2 Related Works -- 3 System Model -- 4 Problem Statement -- 5 Simulation -- 6 Conclusion -- References -- Bandwidth Scheduling Scheme with AoI Guarantee for Heterogeneous Mobile Edge Caching -- 1 Introduction -- 2 System Model -- 3 Problem Formulation -- 3.1 Age of Information Analysis -- 3.2 Bandwidth Allocation Optimization -- 4 A Bandwidth Scheduling Scheme Based on Genetic Algorithm -- 4.1 Initialization of Population -- 4.2 Genetic Operation -- 5 Performance Analysis -- 6 Conclusions -- References -- An Explainable Machine Learning Framework for Lower Limb Exoskeleton Robot System -- 1 Introduction -- 2 Related Works -- 2.1 Sugeno-Type Fuzzy Inference -- 2.2 Factor Analysis -- 2.3 Octave-Band Filtering -- 3 Interpretable Machine Learning -- 3.1 Local Interpretable Model-Agnostic Explanations (LIME) -- 3.2 Shapley Values -- 3.3 SHapley Additive exPlanations (SHAP) -- 4 Methods -- 4.1 Local Explanation -- 4.2 GLobal Explanation -- 4.3 Tectonic New Feature -- 5 Experiments -- 5.1 Exoskeleton DataSet -- 5.2 Data Preprocessing -- 5.3 Data Analysis -- 5.4 Performance in Different Modes -- 5.5 Local Explanation Result -- 5.6 Global Explanation Result -- 5.7 Tectonic New Feature -- 6 Conclusion and Future Work -- References -- A Community Detection Algorithm Fusing Node Similarity and Label Propagation -- 1 Introduction -- 2 Preliminaries -- 3 FNSLP Algorithm Design -- 4 Experiments -- 4.1 Evaluation Criterions -- 4.2 Experimental Data Set -- 4.3 Analysis of Experimental Results in Real Networks -- 4.4 Influence of Parameter -- 4.5 Compare the Results with or Without Fusing Node Similarity -- 4.6 Analysis of Experimental Results in LFR Networks -- 5 Conclusion -- References. 327 $aCooperative Edge Caching Strategy Based on Mobile Prediction and Social-Aware in Internet of Vehicles -- 1 Introduction -- 2 System Model -- 2.1 Network System -- 2.2 Caching Model -- 2.3 Communicating Model -- 2.4 Problem Formulation -- 3 CCMPSA Caching Strategy -- 3.1 Vehicle Mobility Prediction -- 3.2 Caching Vehicles Selection -- 3.3 Cooperative Caching Strategy Based on DRL -- 4 Simulation Results -- 5 Conclusion -- 6 Funding Statement -- References -- A Graph Neural Network Based Model for IoT Binary Components Similarity Detection -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 3.1 Overview -- 3.2 Module Description -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Experiment Results -- 5 Conclusion -- References -- Multi-scale Temporal Feature Fusion for Time-Limited Order Prediction**-4pt -- 1 Introduction -- 2 Motivation -- 2.1 Data -- 2.2 Temporal Dependencies and Static Order Features -- 3 Model Framework -- 3.1 Definitions and Notations -- 3.2 Time-Series Mixing Module -- 3.3 Static Features Enhancement Module -- 3.4 System Overview -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Performance Comparison -- 4.3 Experiment Results -- 5 Related Work -- 6 Conclusion -- References -- Dynamics Modeling of Knowledge Dissemination Process in Online Social Networks -- 1 Introduction -- 2 System Model -- 3 Theoretical Analysis -- 4 Numerical Simulations -- 5 Conclusion -- References -- The Impact of Time Delay and User's Behavior on the Dissemination Process of Rumor in Mobile Social Networks -- 1 Introduction -- 2 System Model -- 3 Stability Analysis -- 4 Simulation Experiment -- 5 Conclusion -- References -- Minimizing the Embedding Cost of Service Function Chains with Adjustable Order -- 1 Introduction -- 2 Related Work -- 3 Network Model and Problem Definition -- 3.1 Network Model -- 3.2 NFV-Enabled Unicasting Problem. 327 $a3.3 Delay Constraints of Unicast Requests -- 4 Algorithms for a Single NFV-Enabled Unicast Request -- 4.1 Construction of PMCD -- 4.2 The Optimal Algorithm for Handling Unicast Request Without Delay Constraints -- 4.3 Handle Unicast Request with Delay Constraints -- 5 Experimental Evaluation -- 5.1 Experiment Setting -- 5.2 Experiment on Synthetic Network -- 5.3 Experiments on GÉANT -- 6 Conclusions -- References -- MDLpark: Available Parking Prediction for Smart Parking Through Mobile Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Proposed Architecture -- 3.2 Data Preprocessing -- 3.3 Model Training -- 3.4 TF-Lite Model Compression -- 3.5 Application Architecture -- 4 Evaluation -- 4.1 Dataset -- 4.2 Evaluation Metric -- 4.3 Experimental Result -- 5 Conclusion -- References -- Image Attribute Modification Based on Text Guidance -- 1 Introduction -- 2 Related Work -- 2.1 Text-to-Image Generation -- 2.2 Conditional Image Synthesis -- 2.3 Text-Guided Image Manipulation -- 3 Generative Adversarial Networks for Image Modification -- 3.1 Edge Aware Generator -- 3.2 Edge Reconstruction Loss -- 3.3 Discriminator -- 3.4 Loss Function -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Metric -- 4.3 Quantitative Results -- 4.4 Qualitative Results -- 5 Conclusions -- References -- Industrial IoT Network Security Situation Prediction Based on Improved SSA-BiLSTM -- 1 Introduction -- 2 Research Methods -- 2.1 Bidirectional Long Short-Term Memory Network -- 2.2 Sparrow Search Algorithm -- 3 Industrial IoT Network Security Situation Forecast -- 3.1 Industrial IoT Dataset Description -- 3.2 Industrial IoT Network Security Situation Value -- 3.3 Sliding Window Method to Divide the Sample Set -- 3.4 Construction of BiLSTM Model -- 3.5 Improved Sparrow Search Algorithm -- 3.6 Steps of ISSA-BiLSTM Model Situation Prediction. 327 $a4 Experiment -- 5 Conclusion -- References -- Author Index. 410 0$aCommunications in Computer and Information Science Ser. 606 $aSensor networks 606 $aWireless LANs 615 0$aSensor networks. 615 0$aWireless LANs. 676 $a681.2 702 $aMa$b Huadong 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996499854303316 996 $aWireless sensor networks$9258783 997 $aUNISA LEADER 01070nam a2200265 i 4500 001 991003408229707536 005 20021212115115.0 008 020708s|||| it 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