LEADER 01064nam a22002531i 4500 001 991000498029707536 005 20021231081747.0 008 021012s1976 xxu|||||||||||||||||eng 020 $a0520031245 035 $ab12013584-39ule_inst 035 $aARCHE-010338$9ExL 040 $aDip.to Filologia Ling. e Lett.$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a821.7 100 1 $aJordan, John Emory$d<1919- >$0449212 245 10$aWhy the Lyrical ballads? :$bthe background, writing, and character of Wordsworth's 1798 Lyrical ballads /$cby John E. Jordan 260 $aBerkeley :$bUniversity of California Press,$cc1976 300 $aXII, 212 p. ;$c23 cm 650 4$aWordsworth, William (1770-1850) . Lyrical ballads 907 $a.b12013584$b02-04-14$c01-04-03 912 $a991000498029707536 945 $aLE008 FL.M. (IN) J 75$g20081$i2008000295813$lle008$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i12300779$z01-04-03 996 $aWhy the Lyrical ballads?$9133065 997 $aUNISALENTO 998 $ale008$b01-04-03$cm$da $e-$feng$gxxu$h0$i1 LEADER 00823nam a2200205 i 4500 001 991004358836907536 005 20241223122900.0 008 241223s1985 it er 001 0 ita d 040 $aBibl. Dip.le Aggr. Ingegneria Innovazione - Sez. IngegneriaInnovazione$beng$cSocioculturale Scs 041 0 $aita 082 04$a363.728$223. 245 00$aRifiuti industriali:$baziende del nord Italia specializzate sul trattamento e nello smaltimento normativa e note di commento /$ca cura di Consic s.r.l. Consulenza industria chimica 260 $aMilano :$bPirola,$c1985 300 $a15 p. ;$c24 cm 500 $aTitle and informations from cover 650 4$aFactory and trade waste$xWaste disposal 710 1 $aConsic$g 912 $a991004358836907536 996 $aRIFIUTI industriali$9618131 997 $aUNISALENTO LEADER 02870nam 2200601 a 450 001 9910959592503321 005 20200520144314.0 010 $a9783836611725 010 $a3836611724 035 $a(CKB)2670000000052765 035 $a(EBL)594480 035 $a(OCoLC)679417255 035 $a(SSID)ssj0000659071 035 $a(PQKBManifestationID)12197644 035 $a(PQKBTitleCode)TC0000659071 035 $a(PQKBWorkID)10692872 035 $a(PQKB)10555290 035 $a(SSID)ssj0000825001 035 $a(PQKBManifestationID)11474762 035 $a(PQKBTitleCode)TC0000825001 035 $a(PQKBWorkID)10793457 035 $a(PQKB)11767117 035 $a(MiAaPQ)EBC594480 035 $a(WaSeSS)Ind00049476 035 $a(Perlego)1798654 035 $a(EXLCZ)992670000000052765 100 $a20110802d2008 uy 0 101 0 $aspa 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 13$aEl Tercer Sector en Mexico $eQue impacto tiene el Capital Humano en el Sector de Servicios? /$fChristian Fastenrath 205 $a1st ed. 210 $aHamburg [Germany] $cDruck Diplomica Verlag$d2008 215 $a1 online resource (100 p.) 300 $aCover title. 311 08$a9783836661720 311 08$a3836661721 320 $aIncludes bibliographical references. 327 $aEl Tercer Sector en Me?xico¿Que? impacto tiene el Capital Humano en el Sectorde Servicios?; I?ndice de Contenido; Lista de Gra?ficas; Lista de Tablas; I?ndice de Anexo; Lista de Abreviatura; 1. Introduccio?n; 2. El Sector de Servicios en Me?xico; 3. La Importancia del Capital Humano; 4. La Conexio?n entre Capital Humano y el Sector de Servicios; 5. Los Servicios de la Educacio?n; 6. El Sistema de Salud; 7. El Ambiente perfecto para el Desarrollo del Sector de Servicios; 8. Conclusio?n; Anexo; Bibliografi?a citada 330 $aMe?xico es un pai?s con mucha riqueza, pero la eficiencia social y econo?mica esta? relativamente baja. Simo?n Bolivar tuvo razo?n en decir que sin educacio?n el pai?s no va a crecer o, peor, contribuye a su propia destruccio?n.Capital fi?sico o natural ya no juega ningu?n papel tan importante como hace 50 an?os. Por la alta tasa de servicios en pai?ses desarrollados, el capital humano tiene, por la mano de obra muy intensiva e intelectualizada, una gran importancia. Sin embargo, casi 70% de la produccio?n nacional esta?n generados en el tercer sector.Dentro de las u?ltimas tres de?cadas, la porcio?n de 606 $aService industries$zMexico 615 0$aService industries 676 $a338.4 700 $aFastenrath$b Christian$01813138 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910959592503321 996 $aEl Tercer Sector en Mexico$94365934 997 $aUNINA LEADER 07026nam 22006495 450 001 996668463803316 005 20250725130233.0 010 $a981-9500-09-5 024 7 $a10.1007/978-981-95-0009-3 035 $a(CKB)39767188400041 035 $a(DE-He213)978-981-95-0009-3 035 $a(MiAaPQ)EBC32265647 035 $a(Au-PeEL)EBL32265647 035 $a(EXLCZ)9939767188400041 100 $a20250725d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Intelligent Computing Technology and Applications $e21st International Conference, ICIC 2025, Ningbo, China, July 26?29, 2025, Proceedings, Part XXII /$fedited by De-Shuang Huang, Wei Chen, Yijie Pan, Haiming Chen 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XXI, 537 p. 204 illus., 188 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v15863 311 08$a981-9500-08-7 327 $a -- Neural Networks. -- Event Data Classification using TPE-based Deep Spiking Neural Networks. -- TIINet: A Three-Stage Interactive Integration Network for RGB-D Salient Object Detection. -- Dynamic Semantic Graph Learning with Progressive Alignment for Image-Text Matching. -- MGTDGraph: Multi-granularity Graph Attention Networks for Multivariate Long-term Time Series Forecasting. -- Topology-Aware Discriminative Graph Convolutional Network for Skeleton-Based Action Recognition. -- Online Delay Learning Algorithm for Feedforward Spiking Neural Networks Based on Spike Train Kernels. -- Energy-Constrained UAV Network Topology Recovery Based on Graph Convolutional Networks. -- UBDet: An Unsupervised Breast Tumor Detection Framework with Boundary-Aware Enhancement. -- Bidirectional Interactive Prompt Fusion and Noise Filtering for Multimodal Aspect-Based Sentiment Analysis. -- AMTerrain: Research on Arbitrary-Modal Terrain Segmentation Based on Text Guidance. -- Correlation Adaptive Dynamic Graph Convolutional Networks for Traffic Flow Prediction. -- EMDC-YOLO: A Residual Multi-Scale Attention and Cross-Scale Fusion based Method for Pedestrian Detection in Crowded Scenes. -- A Novel Lightweight YOLO Method for Satellite Remote Sensing via Matrix Decomposition. -- TSMDM-Net: A Speech Emotion Recognition Model Based on Multi-Scale Time Series Dynamic Modeling. -- Research on Contrastive Learning-Based Knowledge Distillation for Deep Graph Neural Networks. -- Two-view Fusion Graph Neural Networks for Graph Classification. -- MambaForDIF: Distance-Importance Features and Long-Range Dependencies for Enhancing Aspect-Based Sentiment Analysis. -- FedCWE: Federated Cluster-based Weight Sampling and Ensemble Learning for Non-IID Data. -- ORE: an Offline Redundancy Elimination System for GNN Acceleration. -- Time Efficiency: Legendre Polynomials in Kolmogorov-Arnold Network. -- SCAUnet: Symmetric Cross-Attention U-net model for Semantic Segementation. -- Self-Attention Multiscale Mixed Propagation Network Based on Contrastive Augmentation. -- Sentiment Perception from Tokens: A Multitask Learning Framework with Entropy-Driven Fusion. -- GCLCP: Graph Contrastive Learning with Convolutional Perturbation for Recommendation. -- Agro-LLaVA-Next: A Large Multimodal Model for Plant Diseases Recognization. -- LTL-GCL:A more efficient layer-to-layer graph contrastive learning method for recommender system. -- IMVGCN : Interactive Multi-view Learning Graph Convolutional Networks for Traffic Flow Forecasting. -- An Inverse Cavity Scattering Inversion Method Based On Adaptive Neural Fuzzy Inference System. -- Entity Backdoor Attacks Against Fine-Tuned Models. -- Knowledge Graph Denoising with Dual Contrast for Recommendation. -- DDformer: Deepfake Detection with Multimodal Fusion Transformer. -- Improved Transfer Learning based on Increased Model Capacity and Weight Re-initialization for ResNet. -- BEVboost: Research on 3D Object Detection Method for Roadside Based on Multi-Feature Fusion. -- ARG-Net?Gaze Estimation Based on Adversarial Learning and Learnable Networks. -- GNN Advanced Heuristics Algorithm for Solving Multi-Depot Vehicle Problem. -- MSDBNet: A Multi-Scale and Dual-Branch Network for Cross-Domain Person Re-identification. -- Global and Local Feature Enhancement for Short Video Fake News Detection. -- SpikingRM: Efficient Scheduling Algorithm Based on Spiking Neural Network and Deep Reinforcement Learning. -- Infrared Multi-Scale Target Detection Based on Improved YOLOv11 and Spatiotemporal Features. -- Hierarchical Attention-Driven Dynamic Graph Neural Networks for Accurate Supply Chain Demand Forecasting. -- DHCBR: Evaluating the Influence of Supply Chain Complex Network Nodes Based on ResNet. -- An Efficient DNN Training Method with Progressive Pruning. -- TPKD: Teacher-Pruned Knowledge Distillation for Point Cloud-Based 3D Object Detection. -- Network Protocol Security Evaluation via LLM-enhanced Fuzzing in Extended ProFuzzBench. 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 Artificial Intelligence,$x2945-9141 ;$v15863 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 Wei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPan$b Yijie$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Haiming$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996668463803316 996 $aAdvanced Intelligent Computing Technology and Applications$94410353 997 $aUNISA