LEADER 00782nam0-22002531i-450- 001 990000634770403321 005 20151109093013.0 035 $a000063477 035 $aFED01000063477 035 $a(Aleph)000063477FED01 035 $a000063477 100 $a20020821d1997----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aUNI ENV 1998-1-1$eendicazioni progettuali per la resistenza sismica delle strutture$eregole generali$eAzioni simiche e requisiti generali per le strutture 210 $aMilano$cUNI$d1997 610 0 $aManuali, Tabelle, Norme 710 02$aEnte nazionale italiano di unificazione 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000634770403321 952 $a07 O-117$fDINSC 959 $aDINSC 997 $aUNINA LEADER 00732nam0-22002651i-450- 001 990007164270403321 005 20021010 035 $a000716427 035 $aFED01000716427 035 $a(Aleph)000716427FED01 035 $a000716427 100 $a20021010d--------km-y0itay50------ba 101 0 $aita 200 1 $a<>sottosegretari di Stato$etra politica e amministrazione$fGabriella M. Racca. 210 $aNapoli$cJovene$d2001. 215 $a202 p.$d24 cm 700 1$aRacca,$bGabriella M.$0263071 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007164270403321 952 $aVIII D 20$b4509$fDDCIC 959 $aDDCIC 996 $aSottosegretari di Stato$9690073 997 $aUNINA DB $aGEN01 LEADER 00897nam 2200253la 450 001 9910481131103321 005 20210618142919.0 035 $a(UK-CbPIL)2090342714 035 $a(CKB)5500000000083033 035 $a(EXLCZ)995500000000083033 100 $a20210618d1497 uy | 101 0 $alat 135 $aurcn||||a|bb| 200 10$aDe iniusta excommunicatione pro Hieronymi Savonarolae innocentia$b[electronic resource] 210 $aFlorence $cFirenze Compagnia del Drago, 1497-1519$d1497 215 $aOnline resource (v.) 300 $aReproduction of original in Biblioteca Nazionale Centrale di Firenze. 700 $aPico della Mirandola$b Giovanni Francesco$f1470-1533.$0164900 801 0$bUk-CbPIL 801 1$bUk-CbPIL 906 $aBOOK 912 $a9910481131103321 996 $aDe iniusta excommunicatione pro Hieronymi Savonarolae innocentia$92222224 997 $aUNINA LEADER 07406nam 22006495 450 001 996668469303316 005 20250724130254.0 010 $a981-9500-30-3 024 7 $a10.1007/978-981-95-0030-7 035 $a(CKB)39767158600041 035 $a(DE-He213)978-981-95-0030-7 035 $a(MiAaPQ)EBC32269869 035 $a(Au-PeEL)EBL32269869 035 $a(EXLCZ)9939767158600041 100 $a20250724d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Intelligent Computing Technology and Applications $e21st International Conference, ICIC 2025, Ningbo, China, July 26?29, 2025, Proceedings, Part XXVI /$fedited by De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XXI, 515 p. 192 illus., 169 illus. in color.) 225 1 $aLecture Notes in Bioinformatics,$x2366-6331 ;$v15867 311 08$a981-9500-29-X 327 $a -- Cheminformatics. -- Topological Analysis of F-Multiplicity Corona Graphs: Zagreb Indices and Applications in Molecular Design. -- Graph-based Multi-scale Learning for Predicting Mass Spectra from Molecules. -- A Universal Periodicity Injection Module for Crystal Property Prediction. -- SM-CBNet: A Speech-Based Parkinson's Disease Diagnosis Model with SMOTE?ENN and CNN+BiLSTM Integration. -- Systems Biology. -- SpatialDSSC: Estimating Cell Type Abundance and Expression Profile from Spatial Transcriptomic Data. -- Cuproptosis-related genes are correlated with prognostic and immune infiltration in skin cutaneous melanoma patients. -- CS-Phylo: Accelerating Evolutionary Distance Estimation with Closed Syncmer-Enhanced MinHash. -- Aligning Histological Images and Spatial Gene Expression Profiles via Dynamic Convolution and Graph Transformers. -- SGAEMVN: a hybrid neighborhood-based graph attention autoencoder for identifying spatial domains from spatial transcriptomics. -- MMF2Drug: A Multi-Modal Feature Fusion Method for Improving Targeted Drug Design. -- DFDGRU-DTI: Drug-Target Interaction Prediction Based on Random Walk Embeddings and Bidirectional GRU Neural Network. -- RDT-Net: A Novel Diffusion-Based Network for Intracranial Hemorrhage Segmentation. -- Feature Attribution-based Explanation Comparison of Magnetoencephalography Decoding Models. -- scAFC: Adaptive Fusion Clustering of Single-cell RNA-seq Data through Autoencoder and Graph Attention Networks. -- BIOFUSE-DDI: A Dual-Source Transformer Framework for Drug-Drug Interaction Prediction. -- MedMaskDiff: Mamba-based Medical Semantic Image Synthesis for Segmentation. -- Image Clarity Combination Method Based on Hybrid Sampling. -- PDA-PAGCN: Predicting Disease-Related piRNA Based on Proxy Attention Graph Convolutional Network. -- CALM-AcPEP: Predicting Anticancer Peptides using Cross-Attention and Pre-trained Language Model. -- ACP-TransLSTM: A Novel Deep Learning Framework for Anticancer Peptide Prediction Using Multi-Source Feature Integration. -- Multimodal GAN Integrating Hypergraph and Knowledge Graph Representations for Synthetic Lethality. -- EdgeViewDet: Dynamic Edge-Centric Fusion Network with Granger Causality for Neurological Disorders Detection. -- MOMTERL: Modeling Molecular Masking and Contrastive Learning Based on Motifs. -- Respiratory Sound Classification via Multi-View Feature Fusion with Enhanced Convolutional Neural Network and Audio Spectrogram Transformer. -- Multi-Scale Graph Regularized Deep Learning for Accurate Drug-Protein Interaction Prediction. -- DiffiT-HSFDA: Diffusion Based Source-Free Domain Adaptation for Histopathology. -- Dual-channel MiRNA Drug Resistance Prediction Model Based on Multimodal Feature Alignment. -- Whole Slide Images Based Cancer Survival Prediction Using Multi-Task Learning. -- Leveraging DermoGrabcut Segmentation for Improved CNN-Based Skin Lesion Classification. -- VirB: A Virus Hierarchical Classification Method Based on ModernBERT. -- FAPE-DTI: Enhancing Drug?Target Interaction Prediction with Focal Attention and Relative Positional Encoding. -- An Adaptive Multi-View Feature Fusion Framework Based on Multiple Graphs for Predicting Drug-drug Interactions. -- E-MSNGO: Explainable Multi-species Protein Function Prediction Model based on Aggregated Networks. -- PRNet: A Contrastive Ranking Model Based on 3D Convolution and Bi LSTM for ChRs Prediction. -- DeepGO-ESM: Improving the Protein Function Prediction of DeepGraphGO via the Evolutionary Scale Modeling Framework. -- scGECA: a Graph Embedded Representation Learning Approach with Dynamic Attention Mechanism for Single-cell Clustering. -- ChemTransGNN++: From Reactants to Products via Multiscale Graph Transformer Modeling of Reaction Pathways. -- ReAlign-Star: An Optimized Realignment Method for Multiple Sequence Alignment, Targeting Star Algorithm Tools. -- FMAlign3: A Scalable and Adaptive Framework for Large-Scale Multiple Sequence Alignment. -- Enough Consecutive Matches in k-Tuple Common Substrings. -- DeepCatl: A combination of channel attention mechanism and Transformer encoding to predict transcription factor binding sites. -- FDA-YOLO: Fast Domain Adaptation YOLO for Cross-Domain Brain Tumor Detection in Medical Imaging. -- Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction. 330 $aThe 20-volume set LNCS 15842-15861, together with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025. The 1206 papers presented in these proceedings books were carefully reviewed and selected from 4032 submissions. They deal with emerging and challenging topics in artificial intelligence, machine learning, pattern recognition, bioinformatics, and computational biology. . 410 0$aLecture Notes in Bioinformatics,$x2366-6331 ;$v15867 606 $aComputational intelligence 606 $aComputer networks 606 $aMachine learning 606 $aApplication software 606 $aComputational Intelligence 606 $aComputer Communication Networks 606 $aMachine Learning 606 $aComputer and Information Systems Applications 615 0$aComputational intelligence. 615 0$aComputer networks. 615 0$aMachine learning. 615 0$aApplication software. 615 14$aComputational Intelligence. 615 24$aComputer Communication Networks. 615 24$aMachine Learning. 615 24$aComputer and Information Systems Applications. 676 $a006.3 702 $aHuang$b De-Shuang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Haiming$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLi$b Bo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Qinhu$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996668469303316 996 $aAdvanced Intelligent Computing Technology and Applications$94410353 997 $aUNISA