LEADER 05077oam 2200625 c 450 001 996445845903316 005 20220221094418.0 010 $a3-8394-5832-3 024 3 $a9783839458327 035 $a(CKB)5180000000022018 035 $a(transcript Verlag)9783839458327 035 $a(MiAaPQ)EBC6956362 035 $a(Au-PeEL)EBL6956362 035 $a(DE-B1597)583074 035 $a(DE-B1597)9783839458327 035 $a(EXLCZ)995180000000022018 100 $a20220221d2021 uy 0 101 0 $ager 135 $aurnnunnnannuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aDie Kunst der Einfachheit$eStandortbestimmungen in der deutschen Gegenwartsliteratur. Judith Hermann - Peter Stamm - Robert Seethaler$fNadine Wisotzki 205 $a1st ed. 210 $aBielefeld$ctranscript Verlag$d2021 215 $a1 online resource (226 p.)$c160 MB 225 0 $aGegenwartsliteratur$v10 311 $a3-8376-5832-5 327 $aCover -- Inhalt -- VORWORT UND DANK -- 1. SEHNSUCHT NACH EINFACHHEIT -- 1.1 VON DER SEHNSUCHT NACH EINEM »EINFACHEN LEBEN« -- 1.2 DIE KUNST DER EINFACHHEIT -- 1.3 LESARTEN DER EINFACHHEIT -- 2. EINE KLEINE BEGRIFFSGESCHICHTE DER EINFACHHEIT -- 2.1 GEGENWÄRTIGE VERWENDUNGSKONTEXTE -- 2.2 ZWISCHEN KONSTANZ UND WANDEL -- 2.3 TYPOLOGIEN DER EINFACHHEIT -- I. EINFACH VERSUS ZUSAMMENGESETZT(einfach - vielfach) -- II. EINFACH VERSUS AMBIGUE(eindeutig - mehrdeutig) -- III. EINFACH VERSUS SCHWIERIG(klar - undurchsichtig) -- 3. GESTALTETE EINFACHHEIT - ZWISCHEN NORM UND FREIHEIT -- 4. EINE ÄSTHETIK FÜR DIE GEGENWART -- 4.1 ALLZU EINFACHE LITERATUR -- 4.2 JUDITH HERMANN: DER NEUHEITSCHARAKTER DER EINFACHHEIT -- I. MANIER DER EINFACHHEIT -- II. NICHTS ALS GESPENSTER. KONTURLOSE FIGUREN -- III. OHNE HOKUSPOKUS. SCHLICHTE SPRACHE -- IV. GROß GENUG. KLEIN GENUG. KARGE MOMENTE -- 4.3 PETER STAMM: FORTFÜHRUNG ALS REFLEKTIERTE EINFACHHEIT -- I. ERFOLG DER LAKONIE -- II. LISTEN ALS KONZENTRIERTE AUFMERKSAMKEIT -- III. DAS UNGEFÄHRE BLEIBT. ECHTE LÜCKEN -- IV. DISTANZ VERSUS INTENSIVE GEGENWÄRTIGKEIT -- 4.4 ZWISCHENFAZIT: SCHEINBARE EINFACHHEIT -- I. ZWISCHEN AKKUMULIEREN UND KOMPRIMIEREN -- II. JE KOMPLEXER DESTO BESSER -- 4.5 ROBERT SEETHALER: STEIGERUNGSFORMEN DER EINFACHHEIT -- I. EINFACH = EINFACH ? -- II. EIN GANZ(EINFACH)ES LEBEN -- III. EINFACHHEIT29 - BEGRABEN UNTERM FELD -- IV. ERFOLG DER PROVINZ -- 5. SCHLUSSBEMERKUNGEN: EINFACH EINEN PUNKT SETZEN -- LITERATURVERZEICHNIS. 330 $a»Einfachheit« geho?rt zu den maßgeblichen Wertzuschreibungen der Kunst-, Kultur- und Literaturgeschichte. Nadine Wisotzki greift das mit der »Sehnsucht nach Einfachheit« einhergehende Funktionalisierungspotential auf, um dem bemerkenswerten Erfolg der Einfachheit in der deutschsprachigen Gegenwartsliteratur nachzugehen. Am Beispiel des erza?hlerischen Werks von Judith Hermann, Peter Stamm und Robert Seethaler fragt sie, mit welcher Intention und Qualita?t sich die Einfachheit hier formiert und ob es sich bei der Kunst der Reduktion um ein spezifisch fu?r die Gegenwart relevantes Konzept handelt. Damit leistet sie einen wesentlichen Beitrag zu der noch ausstehenden literaturwissenschaftlichen Systematisierung einer »A?sthetik der Einfachheit«. 410 0$aGegenwartsliteratur 606 $aEinfachheit; Komplexita?t; Deutschsprachige Gegenwartsliteratur; Form; A?sthetik; Erza?hltechnik; Stilistik; Begriffsgeschichte; Judith Hermann; Peter Stamm; Robert Seethaler; Literatur; Kultur; Germanistik; Allgemeine Literaturwissenschaft; Kulturwissenschaft; Literaturwissenschaft; Simplicity; Complexity; Contemporary German Literature; Aesthetics; Plot Device; Stylistics; Conceptual History; Literature; Culture; German Literature; Literary Studies; Cultural Studies; 610 $aAesthetics. 610 $aComplexity. 610 $aConceptual History. 610 $aContemporary German Literature. 610 $aCultural Studies. 610 $aCulture. 610 $aForm. 610 $aGerman Literature. 610 $aJudith Hermann. 610 $aLiterary Studies. 610 $aLiterature. 610 $aPeter Stamm. 610 $aPlot Device. 610 $aRobert Seethaler. 610 $aStylistics. 615 4$aEinfachheit; Komplexita?t; Deutschsprachige Gegenwartsliteratur; Form; A?sthetik; Erza?hltechnik; Stilistik; Begriffsgeschichte; Judith Hermann; Peter Stamm; Robert Seethaler; Literatur; Kultur; Germanistik; Allgemeine Literaturwissenschaft; Kulturwissenschaft; Literaturwissenschaft; Simplicity; Complexity; Contemporary German Literature; Aesthetics; Plot Device; Stylistics; Conceptual History; Literature; Culture; German Literature; Literary Studies; Cultural Studies; 700 $aWisotzki$b Nadine$pLeuphana Universita?t Lu?neburg, Deutschland$4aut$01204644 801 0$btranscript Verlag 801 1$btranscript Verlag 906 $aBOOK 912 $a996445845903316 996 $aDie Kunst der Einfachheit$92780227 997 $aUNISA LEADER 10814nam 22004693 450 001 996601560703316 005 20240603084507.0 010 $a3-031-61140-3 035 $a(MiAaPQ)EBC31359048 035 $a(Au-PeEL)EBL31359048 035 $a(CKB)32200402800041 035 $a(EXLCZ)9932200402800041 100 $a20240603d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence for Neuroscience and Emotional Systems $e10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part I 205 $a1st ed. 210 1$aCham :$cSpringer,$d2024. 210 4$d©2024. 215 $a1 online resource (560 pages) 225 1 $aLecture Notes in Computer Science Series ;$vv.14674 311 $a3-031-61139-X 327 $aIntro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Machine Learning in Neuroscience -- Morning Anxiety Detection Through Smartphone-Based Photoplethysmography Signals Analysis Using Machine Learning Methods -- 1 Introduction -- 2 Methods -- 2.1 Data Collection -- 2.2 Pulse Wave Extraction -- 2.3 Feature Extraction -- 2.4 Stress Classification -- 2.5 Fisher's Discriminant Ratio -- 3 Results and Discussion -- 4 Conclusion -- References -- Visualizing Brain Synchronization: An Explainable Representation of Phase-Amplitude Coupling -- 1 Introduction -- 2 Materials and Methods -- 2.1 The LEEDUCA Dataset -- 2.2 Data Preprocessing -- 2.3 Phase-Amplitude Coupling -- 2.4 Visualization of Local PAC Patterns -- 3 Consistency of Temporal Patterns -- 4 Results and Discussion -- 5 Conclusions -- References -- Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset and Preprocessing -- 2.2 CFS Image Sequences -- 2.3 fNIRS Functional Activation -- 2.4 Classification -- 3 Results -- 4 Conclusions and Future Work -- References -- Causal Mechanisms of Dyslexia via Connectogram Modeling of Phase Synchrony -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Acquisition -- 2.2 Preprocessing -- 2.3 Hilbert Transform -- 2.4 Granger Causality -- 2.5 Feature Selection -- 2.6 Connectograms -- 2.7 Machine Learning Classification -- 3 Results -- 4 Conclusions -- References -- Explainable Exploration of the Interplay Between HRV Features and EEG Local Connectivity Patterns in Dyslexia -- 1 Introduction -- 2 Materials and Methods -- 2.1 Database -- 2.2 Cross Frequency Coupling with ISPC -- 2.3 Heart Rate Variability Descriptors -- 2.4 Explainable Regression Experiments -- 3 Results -- 4 Discussion -- 5 Conclusion -- References. 327 $aEnhancing Intensity Differences in EEG Cross-Frequency Coupling Maps for Dyslexia Detection -- 1 Introduction -- 2 Materials and Methods -- 2.1 Database -- 2.2 Generation of CFC Maps from EEG Signals -- 2.3 Enhancing Differences in CFS Maps Through Histogram Transformation -- 2.4 Quantification of the Improvement -- 3 Results -- 4 Discussion and Conclusions -- References -- Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Dataset Used -- 3.2 Preprocessing -- 3.3 AutoML -- 4 Result and Discussion -- 5 Conclusion -- References -- A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson's Disease -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset and Preprocessing -- 2.2 Multi-modal Joint Latent Variable Model -- 2.3 Evaluation -- 3 Results and Discussion -- 4 Conclusions -- References -- Zero-Shot Ensemble of Language Models for Fine-Grain Mental-Health Topic Classification -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Experiments and Results -- 5 Conclusions -- References -- Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications -- 1 Introduction -- 2 The Most Important Versions of GNP -- 2.1 Some Specific Applications of GNP Algorithm -- 3 Conclusion and Future Works -- References -- Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Data Preprocessing -- 3.3 The Important Process of This Study -- 4 Results and Discussion -- 5 Conclusion -- References -- Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders. 327 $a1 Introduction -- 2 Material and Methods -- 2.1 Participants -- 2.2 NIRS Acquisition -- 2.3 Extraction of Heart Signal from NIRS -- 2.4 Preprocessing -- 2.5 Classification and Explainability -- 3 Results -- 4 Conclusions and Future Work -- References -- Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI -- 1 Introduction -- 2 Proposed Method -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Deep Learning Model -- 3 Statistical Metrics -- 4 Experiment Results -- 5 Discussion, Conclusion, and Future Works -- References -- Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model -- 1 Introduction -- 2 Proposed Method -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Feature Extraction Based on Transformer -- 2.4 Classification -- 3 Statistical Metrics -- 4 Experiment Results -- 5 Discussion, Conclusion, and Future Works -- References -- Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models -- 1 Introduction -- 2 Proposed Method -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Feature Extraction and Classification -- 3 Experiment Results -- 4 Discussion, Conclusion, and Future Works -- References -- A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia -- 1 Introduction -- 2 Methods -- 2.1 Data Acquisition and Preprocessing -- 2.2 Cross-Frequency Coupling -- 2.3 Feature Aggregation and Classification -- 2.4 Evaluation and Interpretability -- 3 Results and Discussion -- 3.1 Best Performing Stimuli and PAC Measures -- 3.2 Effect of Classification Hyperparameters -- 3.3 Assymetric Differences Between DLX and CTL -- 4 Conclusions -- References -- Comprehensive Evaluation of Stroke Rehabilitation Dynamics: Integrating Brain-Computer Interface with Robotized Orthesic Hand and Longitudinal EEG Changes. 327 $a1 Introduction -- 2 Material and Methods -- 2.1 Participants -- 2.2 Description of the Experimentation -- 2.3 EEG Data Analysis -- 3 Results -- 3.1 Time Frequency -- 3.2 Topographic Maps -- 3.3 Power Bands -- 4 Discussion, Study Limitations and Future Work -- 5 Conclusion -- References -- PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models -- 1 Introduction -- 2 Database Description -- 3 Experiments and Results -- 4 Conclusions -- References -- A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test -- 1 Introduction -- 2 Materials and Methods -- 2.1 CDT Databases -- 2.2 Image Preprocessing -- 2.3 Convolutional Neural Network -- 2.4 Attentive Pairwise Interaction Network -- 3 Experiments and Results -- 4 Discussion -- 5 Conclusion -- References -- Artificial Intelligence in Neurophysiology -- Prediction of Burst Suppression Occurrence Under General Anaesthesia Using Pre-operative EEG Signals -- 1 Introduction -- 2 Methods -- 2.1 Data -- 2.2 Pre-processing -- 2.3 Training -- 2.4 Models Evaluation -- 2.5 Generating Explanations with SHAP -- 3 Experiments -- 4 Results and Discussion -- 4.1 Models Evaluation -- 4.2 Explainability Analysis -- 4.3 Limitations and Future Work -- 5 Conclusion -- References -- Advances in Denoising Spikes Waveforms for Electrophysiological Recordings -- 1 Introduction -- 2 Methods -- 2.1 Acquisition System and Dataset -- 2.2 Neural Signal Denoising -- 2.3 Spike Sorting -- 2.4 Implementation Details -- 2.5 Software Testing -- 3 Results -- 3.1 Denoising and Spike Extraction Quality Measurement -- 4 Discussion -- 5 Conclusions -- References -- Analysis of Anxiety Caused by Fasting in Obesity Patients Using EEG Signals -- 1 Introduction -- 2 Materials and Methods -- 2.1 Subjects -- 2.2 Procedure -- 2.3 Data Processing -- 3 Results and Discussion. 327 $a4 Conclusions -- References -- Evolution of EEG Fractal Dimension Along a Sequential Finger Movement Task -- 1 Introduction: Fractal Dimension and its Application on EEG Signals Analysis -- 2 Materials and Methods -- 2.1 Dataset and Motor Task -- 2.2 EEG Signals Preprocessing -- 2.3 EMG Signals Preprocessing -- 2.4 Katz Fractal Dimension -- 2.5 KFD Time Windows -- 3 Results -- 4 Conclusion -- References -- Neuromotor and Cognitive Disorders -- Stress Classification Model Using Speech: An Ambulatory Protocol-Based Database Study -- 1 Introduction -- 2 Methods -- 2.1 Database -- 2.2 Feature Extraction -- 2.3 Supervised Classification -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Exploring Spatial Cognition: Comparative Analysis of Agent-Based Models in Dynamic and Static Environments -- 1 Introduction -- 2 Methodology -- 2.1 EvoJAX -- 2.2 Materials and Method -- 2.3 Results -- 3 Conclusions and Future Directions -- References -- Machine Learning for Personality Type Classification on Textual Data -- 1 Introduction -- 2 Background -- 3 Materials and Methods -- 3.1 Data Collection: -- 3.2 Feature Extraction -- 3.3 Target Classes -- 3.4 Classification Models -- 3.5 Performance Evaluation Metrics -- 4 Results -- 5 Conclusions -- References -- Grad-CAM Applied to the Detection of Instruments Used in Facial Presentation Attacks -- 1 Introduction -- 2 Related Work and Background -- 2.1 PAD Techniques -- 2.2 XAI Techniques -- 3 Methods and Materials -- 3.1 Design and Implementation -- 3.2 eXpainable Artificial Intelligence Grad-CAM -- 3.3 Procediment -- 3.4 Statistical Analysis -- 3.5 Database -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Comparison of an Accelerated Garble Embedding Methodology for Privacy Preserving in Biomedical Data Analytics -- 1 Introduction -- 1.1 State of the Art -- 2 Theoretical Framework. 327 $a2.1 Information Comparison. 410 0$aLecture Notes in Computer Science Series 700 $aFerrández Vicente$b José Manuel$01740228 701 $aVal Calvo$b Mikel$01740229 701 $aAdeli$b Hojjat$0784299 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996601560703316 996 $aArtificial Intelligence for Neuroscience and Emotional Systems$94165663 997 $aUNISA