توضیحاتی در مورد کتاب :
نارساخوانی یک مشکل یادگیری خاص است که مانع یادگیری مهارت های سوادآموزی می شود. این مشکل در مدیریت کدهای کلامی در حافظه مبتنی بر عصبشناسی است و معمولاً در خانوادهها وجود دارد. سایر سیستم های نمادین مانند ریاضیات و نت موسیقی نیز می توانند تحت تأثیر قرار گیرند. نارساخوانی می تواند در هر سطحی از توانایی فکری رخ دهد. این می تواند همراه باشد، اما نتیجه آن، فقدان انگیزه، اختلال عاطفی، اختلال حسی یا فرصت های ناچیز باشد. اثرات نارساخوانی را می توان با آموزش متخصص ماهر و یادگیری متعهدانه کاهش داد. علاوه بر این، بسیاری از افراد نارساخوان دارای توانایی های بصری و فضایی هستند که آنها را قادر می سازد در طیف وسیعی از مشاغل موفق باشند.
ظاهر این کتاب قابل استقبال است. این بیانیه کاملی از بهترین عملکردی است که در بسیاری از انواع مداخلاتی که با دانش آموزان نارساخوان انجام می شود یافت می شود. این به برخی سؤالات اساسی میپردازد که به ندرت پرسیده میشوند و بسیاری از آنچه معلم ماهر میداند و انجام میدهد برای اولین بار در اینجا به صورت چاپی درج میشود.
از پیشگفتار:
«فصلها در مجموع، ترکیبی از عملکرد فعلی را ارائه میدهند که بر چگونگی ارزیابی و درمان علائم نارساخوانی تمرکز دارد، که با درک صحیح از ضعفهای شناختی و زبانی که زیربنای این بیماری است هدایت میشود. . این کتاب روشن میکند که ستون فقرات مداخله برای نارساخوانی یک رویکرد چندحسی بسیار ساختار یافته است که مهارتهای خواندن و املا را با سرعت مناسب آموزش میدهد. با این حال، به صراحت اشاره میشود که چنین برنامهای باید با توجه به تفاوتهای فردی در سایر مهارتهای شناختی که به رشد سواد کمک میکنند، ارائه شود و سبک، علایق یادگیرنده و حداقل اعتماد به نفس و اعتماد به نفس او در نظر گرفته شود. احترام
این کتاب منبع مهمی را برای معلمانی فراهم میکند که میخواهند در مهارتهای لازم برای ارزیابی، آموزش، حمایت و مشاوره از افراد نارساخوان در محیطهای مختلف مهارت پیدا کنند. این نوید رسیدن به بسیاری از معلمان و به نوبه خود، دانش آموزان و خانواده های آنها را می دهد.
مارگارت جی. اسنولینگ، دانشگاه یورک، بریتانیا
فهرست مطالب :
Front Matter....Pages i-xvi
Front Matter....Pages 1-1
Strategies for Molecular Design Beyond the Millennium....Pages 3-23
Front Matter....Pages 25-25
Multivariate Design and Modelling in QSAR, Combinatorial Chemistry, and Bioinformatics....Pages 27-45
QSAR Study of PAH Carcinogenic Activities: Test of a General Model for Molecular Similarity Analysis....Pages 47-52
Comparative Molecular Field Analysis of Aminopyridazine Acetylcholinesterase Inhibitors....Pages 53-58
The Influence of Structure Representation on QSAR Modelling....Pages 59-64
The Constrained Principal Property (CPP) Space in QSAR — Directional and Non-Directional Modelling Approaches....Pages 65-70
Front Matter....Pages 71-71
Handling Information from 3D Grid Maps for QSAR Studies....Pages 73-81
Gaussian-Based Approaches to Protein-Structure Similarity....Pages 83-88
Molecular Field-Derived Descriptors for the Multivariate Modeling of Pharmacokinetic Data....Pages 89-94
Validating Novel QSAR Descriptors for Use in Diversity Analysis....Pages 95-100
Front Matter....Pages 101-101
Structural and Energetic Aspects of Protein-Ligand Binding in Drug Design....Pages 103-110
Use of MD-Derived Shape Descriptors as a Novel Way to Predict the in Vivo Activity of Flexible Molecules....Pages 111-121
A View on Affinity and Selectivity of Nonpeptidic Matrix Metalloproteinase Inhibitors from the Perspective of Ligands and Target....Pages 123-128
On the Use of SCRF Methods in Drug Design Studies....Pages 129-134
3D-QSAR Study of 1,4-Dihydropyridines Reveals Distinct Molecular Requirements of Their Binding Site in the Resting and the Inactivated State of Voltage-Gated Calcium Channels....Pages 135-140
Pharmacophore Development for the Interaction of Cytochrome P450 1A2 with Its Substrates and Inhibitors....Pages 141-146
Front Matter....Pages 147-147
Analysis of a Large, High-Throughput Screening Data Using Recursive Partitioning....Pages 149-156
3D Structure Descriptors for Biological Activity....Pages 157-168
Fragment-Based Screening of Ligand Databases....Pages 169-174
The Computer Simulation of High Throughput Screening of Bioactive Molecules....Pages 175-180
Front Matter....Pages 181-181
5-HT 1A Receptors Mapping by Conformational Analysis (2D NOESY/MM) and “Three Way Modelling” (HASL, CoMFA, PARM)....Pages 183-194
Design and Activity Estimation of a New Class of Analgesics....Pages 195-200
Unified Pharmacophoric Model for Cannabinoids and Aminoalkylindoles....Pages 201-206
Chemometric Detection of Binding Sites of 7TM Receptors....Pages 207-212
Front Matter....Pages 213-213
Specmat: Spectra as Molecular Descriptors for the Prediction of Biological Activity....Pages 215-220
Hydrogen Bond Contributions to Properties and Activities of Chemicals and Drugs....Pages 221-227
Front Matter....Pages 229-229
Predicting Peptide Absorption....Pages 231-236
Physicochemical High Throughput Screening (pC-HTS): Determination of Membrane Permeability, Partitioning and Solubility....Pages 237-243
Understanding and Estimating Membrane/Water Partition Coefficients: Approaches to Derive Quantitative Structure Property Relationships....Pages 245-248
Prediction of Human Intestinal Absorption of Drug Compounds from Molecular Structure....Pages 249-255
Front Matter....Pages 257-257
Free-Wilson-Type QSAR Analyses Using Linear and Nonlinear Regression Techniques....Pages 261-262
QSAR Studies of Picrodendrins and Related Terpenoids — Structural Differences Between Antagonist Binding Sites on GABA Receptors of Insects and Mammals....Pages 263-264
Molecular lipophilicity descriptors: a multivariate analysis....Pages 265-266
World Wide Web-Based Calculation of Substituent Parameters for QSAR Studies....Pages 267-268
Combine and Free-Wilson QSAR Analysis of Nuclear Receptor-DNA Binding....Pages 269-270
QSAR Model Validation....Pages 271-272
QSPR Prediction of Henry’s Law Constant: Improved Correlation with New Parameters....Pages 273-274
QSAR of a Series of Carnitine Acetyl Transferase (CAT) Substrates....Pages 275-276
“Classical” and Quantum Mechanical Descriptors for Phenolic Inhibition of Bacterial Growth....Pages 277-279
Hydrogen Bond Acceptor and Donor Factors, C a and C d : New QSAR Descriptors....Pages 280-281
Front Matter....Pages 257-257
Development and Validation of a Novel Variable Selection Technique with Application to QSAR Studies....Pages 282-283
Qsar Studies of Environmental Estrogens....Pages 284-285
Quantitative Structure-Activity Relationship of Antimutagenic Benzalacetones and Related Compounds....Pages 286-287
Multivariate Regression Excels Neural Networks, Genetic Algorithm and Partial Least-Squaresin Qsar Modeling....Pages 288-289
Structure — Activity Relationships of Nitrofuran Derivatives with Antibacterial Activity....Pages 290-291
QSAR Approach for the Selection of Congeneric Compounds with Similar Toxicological Modes of Action....Pages 292-292
Strategies for Selection of Test Compounds in Structure-Affinity Modelling of Active Carbon Adsorption Performance: A Multivariate Approach....Pages 293-294
Design and QSAR of Dihydropyrazolo[4,3-c]Quinolinones as PDE4 Inhibitors....Pages 295-296
QSAR Based on Biological Microcalorimetry....Pages 297-298
Cinnoline Analogs of Quinolones: Structural Consequences of the N Atom Introduction in the Position 2....Pages 299-300
Joint Continuum Regression for Analysis of Multiple Responses....Pages 301-302
Putative Pharmacophores for Flexible Pyrethroid Insecticides....Pages 303-304
Predicting Maximum Bioactivity of Dihydrofolate Reductase Inhibitors....Pages 305-306
Evaluation of Carcinogenicity of the Elements by Using Nonlinear Mapping....Pages 307-308
Partition Coefficients of Binary Mixtures of Chemicals: Possibility for the QSAR Analysis....Pages 311-313
A CoMFA study on antileishmaniasis bisamidines....Pages 314-315
Antileishmanial Chalcones: Statistical Design and 3D-QSAR Analysis....Pages 316-317
Chemical Function Based Alignment Generation for 3D QSAR of Highly Flexible Platelet Aggregation Inhibitors....Pages 318-320
3D QSAR on Mutagenic Heterocyclic Amines That are Substrates of Cytochrome P450 1A2....Pages 321-322
Application of 4D-QSAR Analysis to a Set of Prostaglandin, PGF 2 α, Analogs....Pages 323-324
Front Matter....Pages 257-257
Determination of the Cholecalciferol-Lipidcomplex Using a Combination of Comparative Modelling and NMR Spectroscopy....Pages 325-328
Comparative Binding Energy (Combine) Analysis on a Series of Glycogen Phosphorylase Inhibitors. Comparison with Grid/Golpe Models....Pages 329-330
EVA QSAR: Development of Models with Enhanced Predictivity (EVA_GA)....Pages 331-333
3D-QSAR, GRID Descriptors and Chemometric Tools in the Development of Selective Antagonists of Muscarinic Receptor....Pages 334-335
Small Cyclic Peptide Sar Study Using Apex-3D System: Somatostatin Receptor Type 2 ( SSTR2 ) Specific Pharmacophores....Pages 336-337
3D Quantitative Structure-Activity Relationship (COMFA) Study of Heterocyclic Arylpiperazine Derivatives with 5-HT 1A Activity....Pages 338-339
Molecular Similarity Analysis and 3D-QSAR of Neonicotinoid Insecticides....Pages 340-341
3D-SAR Studies on a Series of Sulfonate Dyes as Protection Agents Against β-Amyloid Induced in Vitro Neurotoxicity....Pages 342-343
A New Molecular Structure Representation: Spectral Weighted Molecular (SWM) Signals and Spectral Weighted Invariant Molecular (SWIM) Descriptors....Pages 344-344
3D QSAR of Prolyl 4-Hydroxylase Inhibitors....Pages 345-346
Aromatase Inhibitors: Comparison between a CoMFA Model and the Enzyme Active Site....Pages 347-348
Imidazoline Receptor Ligands — Molecular Modeling and 3D-QSAR CoMFA....Pages 349-350
Reversible Inhibition of MAO-A and B by Diazoheterocyclic Compounds: Development of QSAR/CoMFA Models....Pages 353-354
Modelling of the 5-HT 2A Receptor and Its Ligand Complexes....Pages 355-356
Towards the Understanding of Species Selectivity and Resistance of Antimalarial DHFR Inhibitors....Pages 357-358
Modeling of Suramin-TNFα Interactions....Pages 359-360
De Novo Design of Inhibitors of Protein Tyrosine Kinase pp60 c-src ....Pages 361-362
Elucidation of Active Conformations of Drugs Using Conformer Sampling by Molecular Dynamics Calculations and Molecular Overlay....Pages 363-364
Differences in Agonist Binding Pattern for the GABA A and the AMPA Receptors Illustrated by High-Level AB Initio Calculations....Pages 365-366
Stabilization of the Ammonium-Carboxylate Ion-Pair by an Aromatic Ring....Pages 367-368
Front Matter....Pages 257-257
Structural Requirements for Binding to Cannabinoid Receptors....Pages 369-370
Design, Synthesis and Testing of Novel Inhibitors of Cell Adhesion....Pages 371-372
Conformational Analysis and Pharmacophore Identification of Potential Drugs for Osteoporosis....Pages 373-374
Molecular Modelling of DNA Adducts of BBR3464: A New Phase I Clinical Agent....Pages 375-376
Prediction of Activity for a Set of Flavonoids Against HIV-1 Integrase....Pages 377-379
Structure-Based Discovery of Inhibitors of an Essential Purine Salvage Enzyme in Tritrichomonas Foetus ....Pages 380-381
A 3D-Pharmacophore Model for Dopamine D 4 Receptor Antagonists....Pages 382-383
Molecular Modeling and Structure-Based Design of Direct Calcineurin Inhibitors....Pages 384-385
Conformational Flexibility and Receptor Interaction....Pages 386-387
Investigating the Mimetic Potential of β-Turn Mimetics....Pages 388-389
Conformational Aspects of the Interaction of New 2,4-Dihydroxyacetophenone Derivatives with Leukotriene Receptors....Pages 390-392
Conformational Studies of Poly(Methylidene Malonate 2.1.2)....Pages 393-394
A Peptidic Binding Site Model for PDE 4 Inhibitors....Pages 395-396
Molecular Dynamics Simulations of the Binding of a GnRH Agonist to a Model GnRH Receptor....Pages 397-398
Analysis of Affinities of Penicillins for a Class C β-Lactamase by Molecular Dynamics Simulations....Pages 399-400
Theoretical Approaches for Rational Design of Proteins....Pages 401-403
Amisulpride, Sultopride and Sulpiride: Comparison of Conformational and Physico-Chemical Properties....Pages 404-405
Entropic Trapping: Its Possible Role in Biochemical Systems....Pages 406-407
Structural Requirements to Obtain Potent CAXX Mimic P21-Ras-Farnesyltransferase Inhibitors....Pages 408-409
Hydrogen-Bonding Hotspots as an Aid for Site-Directed Drug Design....Pages 410-411
Front Matter....Pages 257-257
Superposition of Flexible Ligands to Predict Positions of Receptor Hydrogen-Bonding Atoms....Pages 412-413
Comparative Molecular Field Analysis of Multidrug Resistance Modifiers....Pages 414-415
Pharmacophore Model of Endothelin Antagonists....Pages 416-417
The Electron-Topological Method (ETM): Its Further Development and Use in the Problems of SAR Study....Pages 418-419
Moldivs — A New Program for Molecular Similarity and Diversity Calculations....Pages 423-424
Easy Does It: Reducing Complexity in Ligand-Protein Docking....Pages 425-426
Study of the Molecular Similarity among Three HIV Reverse Transcriptase Inhibitors in Order to Validate GAGS, a Genetic Algorithm for Graph Similarity Search....Pages 427-428
A Decision Tree Learning Approach for the Classification and Analysis of High-Throughput Screening Data....Pages 429-430
Application of PARM to Constructing and Comparing 5-HT 1A and α 1 Receptor Models....Pages 433-439
A Novel Computational Method for Predicting the Transmembranal Structure of G-Protein Coupled Anaphylatoxin Receptors, C5aR and C3aR....Pages 440-441
Receptor-Based Molecular Diversity: Analysis of HIV Protease Inhibitors....Pages 442-443
Application of Self-Organizing Neural Networks with Active Neurons for QSAR Studies....Pages 444-445
Application of Artificial Neural Networks in QSAR of a New Model of Phenylpiperazine Derivatives 1 with Affinity for 5-HT 1A and α l Receptors: A Comparision of ANN Models....Pages 446-447
Atypical Antipsychotics: Modelling and QSAR....Pages 448-449
Genetic Algorithms: Results too Good to be True?....Pages 453-454
Property Patches in GPCRs: A Multivariate Study....Pages 455-457
A Stochastic Method for the Positioning of Protons in X-ray Structures of Biomolecules....Pages 458-459
Molecular Field Topology Analysis (MFTA) as the Basis for Molecular Design....Pages 460-461
Rank Distance Clustering — A New Method for the Analysis of Embedded Activity Data....Pages 462-463
The Application of Machine Learning Algorithms to Detect Chemical Properties Responsible for Carcinogenicity....Pages 464-465
Front Matter....Pages 257-257
Study of Geometrical/Electronic Structures — Carcinogenic Potency Relationship with Counterpropagation Neural Networks....Pages 466-467
Combining Molecular Modelling with the Use of Artificial Neural Networks as an Approach to Predicting Substituent Constants and Bioactivity....Pages 468-469
Application of Neural Networks for Estimating Partition Coefficient Based on Atom-Type Electrotopological State Indices....Pages 470-471
Variable Selection in the Cascade-Correlation Learning Architecture....Pages 472-473
Chemical Fingerprints Containing Biological and Other Nonstructural Data....Pages 474-475
Rodent Tumor Profiles Induced by 536 Chemicals Carcinogens: An Information Intensive Analysis....Pages 476-477
Comparison of Several Ligands for the 5-HT 1D Receptor Using the Kohonen Self-Organizing-Maps Technique....Pages 478-479
Binding Energy Studies on the Interaction between Berenil Derivatives and Thrombin and the B-DNA Dodecamer D(CGCGAATTCGCG) 2 ....Pages 480-481
A Comparison of AB Initio , Semi-Empirical, and Molecular Mechanics Approaches to Compute Molecular Geometries and Electrostatic Descriptors of Heteroatomic Ring Fragments Observed in Drugs Molecules....Pages 482-483
Elaboration of an Interaction Model Between Zolpidem and the ω 1 Modulatory Site of GABA A Receptor Using Site-Directed Mutagenesis....Pages 484-485
SLIPPER — A New Program for Water Solubility, Lipophilicity and Permeability Prediction....Pages 489-490
Correlation of Intestinal Drug Permeability in Humans ( In Vivo ) with Experimentally and Theoretically Derived Parameters....Pages 491-492
A Critical Appraisal of logP Calculation Procedures Using Experimental Octanol-Water and Cyclohexane-Water Partition Coefficients and HPLC Capacity Factors for a Series of Indole Containing Derivatives of 1,3,4-Thiadiazole and 1,2,4-Triazole....Pages 493-494
Determination of Accurate Thermodynamics of Binding for Proteinase-Inhibitor Interactions....Pages 495-496
Back Matter....Pages 497-502
توضیحاتی در مورد کتاب به زبان اصلی :
Dyslexia is a specific learning difficulty that hinders the learning of literacy skills. This problem with managing verbal codes in memory is neurologically based and tends to run in families. Other symbolic systems, such as mathematics and musical notation, can also be affected. Dyslexia can occur at any level of intellectual ability. It can accompany, but is not a result of, lack of motivation, emotional disturbance, sensory impairment or meagre opportunities. The effects of dyslexia can be alleviated by skilled specialist teaching and committed learning. Moreover many dyslexic people have visual and spatial abilities which enable them to be successful in a wide range of careers.
The appearance of this book .. is to be welcomed. It represents a full statement of the best practice to be found in the many kinds of intervention that are conducted with dyslexic students. It addresses some fundamental questions that are seldom asked and much of what the skilled teacher knows and does is set down here in print for the first time.
From the Preface:
`Collectively, the chapters provide a synthesis of current practice focusing on how to assess and treat the symptoms of dyslexia, guided by a proper understanding of the cognitive and linguistic weaknesses that underpin the condition. The book makes clear that the backbone of intervention for dyslexia is a highly structured multisensory approach that teaches reading and spelling skills at the appropriate rate. However, it is also explicit in pointing out that such a programme must be delivered with due attention to individual differences in the other cognitive skills that contribute to literacy development, and take account of the learner's style, interests and not least their confidence and self-esteem.
This book provides an important resource for teachers who wish to become competent in the skills required for the assessment, teaching, supporting and counselling of dyslexic people in a variety of settings. It promises to reach many teachers and in turn, their students and families'.
Margaret J. Snowling, University of York, UK