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Record Nr. |
UNINA9910830363003321 |
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Titolo |
Recent advances in quantitative methods for cancer and human health risk assessment [[electronic resource] /] / edited by Lutz Edler, Christos P. Kitsos |
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Pubbl/distr/stampa |
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Chichester, England ; ; Hoboken, N.J., : J. Wiley, c2005 |
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ISBN |
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1-280-28775-6 |
9786610287758 |
0-470-30008-6 |
0-470-85770-6 |
0-470-85766-8 |
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Descrizione fisica |
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1 online resource (504 p.) |
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Collana |
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Wiley series in probability and statistics |
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Altri autori (Persone) |
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EdlerLutz <1945-> |
KitsosChristos Par. <1951-> |
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Disciplina |
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Soggetti |
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Cancer - Risk factors - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment; Contents; Contributors; Preface; Introduction; I CANCER AND HUMAN HEALTH RISK ASSESSMENT Introductory remarks; 1. Principles of Cancer Risk Assessment: The Risk Assessment Paradigm; 1.1 The risk assessment paradigm; 1.2 Hazard identification; 1.3 Dose-response assessment; 1.3.1 Different objectives, different data sets, different approaches; 1.3.2 Extrapolations in dose-response assessment; 1.3.3 Safety assessment; 1.3.4 Modelling to estimate risk at low doses; 1.3.5 Uncertainty and human variation |
II BIOLOGICAL ASPECTS OF CARCINOGENESIS Introductory remarks2. Molecular Epidemiology in Cancer Research; 2.1 Introduction; 2.2 From carcinogen exposure to cancer; 2.3 Biomarkers; 2.3.1 Biomarkers of exposure; 2.3.2 Biomarkers of susceptibility; 2.3.3 Biomarkers of effect; 2.4 Validation of biomarkers; 2.4.1 Study design; 2.4.2 Genetic and statistical analysis; 2.4.3 Sample size requirements; 2.4.4 Sources of potential bias; 2.5 Factors influencing cancer risk; 2.5.1 Environmental factors; 2.5.2 Genetic factors; 2.5.3 Carcinogen |
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metabolism; 2.5.4 DNA repair; 2.5.5 Cell cycle control |
2.5.6 Immune status2.6 New tools in molecular epidemiology; 2.6.1 Microarrays and toxicogenomics; 2.6.2 Proteomics; 2.6.3 Promising directions for cancer diagnosis and cancer biomarker discovery; 2.7 Conclusions; 3. Genetic Polymorphisms in Metabolising Enzymes as Lung Cancer Risk Factors; 3.1 Introduction; 3.1.1 Studies investigating genetic polymorphisms as lung cancer risk factors; 3.2 Methodological aspects; 3.2.1 Planning of the study; 3.2.2 Laboratory analyses; 3.2.3 Statistical analyses; 3.3 Examples; 3.3.1 N-Acetyltransferases (NAT1 and NAT2) and lung cancer risk |
3.3.2 Glutathione-S-transferases and lung cancer risk3.3.3 Myeloperoxidase and lung cancer risk; 3.3.4 CYP3A4 and CYP3A5 and lung cancer risk; 3.4 Discussion; Acknowledgements; 4. Biological Carcinogenesis: Theories and Models; 4.1 Introduction; 4.2 Models of human carcinogenesis; 4.2.1 Prostate cancer; 4.2.2 Colorectal cancer; 4.2.3 Endometrial cancer; 4.3 The multistage mouse skin carcinogenesis model; 4.4 Epilogue; 5. Biological and Mathematical Aspects of Multistage Carcinogenesis; 5.1 Introduction; 5.2 Features of multistage carcinogenesis; 5.2.1 Colorectal cancer |
5.2.2 The role of genomic instability in colon cancer5.2.3 Barrett's esophagus; 5.2.4 Intermediate lesions; 5.3 Generalized TSCE model; 5.3.1 Model building; 5.3.2 Mathematical development and the hazard function; 5.4 Modeling cancer incidence; 5.4.1 Age-cohort-period models; 5.4.2 Age-specific incidence; 5.4.3 Colorectal cancer in the SEER registry; 5.4.4 Analysis of occupational cohort data; 5.5 Summary; 6. Risk Assessment and Chemical and Radiation Hormesis: A Short Commentary and Bibliographic Review; 6.1 Introduction; 6.2 The concept of hormesis; 6.3 Chemical hormesis |
6.3.1 The -shaped and -shaped dose-response curve |
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Sommario/riassunto |
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Human health risk assessment involves the measuring of risk of exposure to disease, with a view to improving disease prevention. Mathematical, biological, statistical, and computational methods play a key role in exposure assessment, hazard assessment and identification, and dose-response modelling. Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment is a comprehensive text that accounts for the wealth of new biological data as well as new biological, toxicological, and medical approaches adopted in risk assessment. It provides an authoritative compendiu |
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2. |
Record Nr. |
UNINA9910149235703321 |
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Titolo |
日常現象からの解析学 / / 岡本久著 |
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Pubbl/distr/stampa |
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東京, : 近代科学社, 2016.2 |
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東京 : , : 近代科学社, , 2016 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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Classificazione |
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Altri autori (Persone) |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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関連図書: p[238]-242 |
「放送大学の教材『現象の数理』を元にしてその誤謬を正し,説明に補足を加えたもの」と"はじめに"に表示あり |
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Nota di contenuto |
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紙 -- はじめに -- 目次 -- 第1章 応用数学・応用 析学を学ぶ の心構え -- 第2章 曲線 曲 そして曲率 -- 第3章 図形の 心 -- 第4章 張力 -- 第5章 張力に した数学の問 -- 第6章 初等的な変分問 -- 第7章 最 下線変分法の出発点 -- 第8章 マクスウェル・円 曲線・幾何光学 -- 第9章 グリーンの公式と 気学 -- 第10章 熱伝導・フーリエ 析 -- 第11章 圧縮 粘性流体の基礎理 -- 第12章 天体の形状 -- 第13章 圧縮粘性流体の方程式 -- 第14章 流体中を する円柱による粒子の 動 -- 付 A 2次曲線 -- 付 B 演習問 答 -- あとがき -- 図書 -- 索引 -- 奥付 -- お断り. |
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Sommario/riassunto |
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日々の現象は応用解析の宝庫！応用数学には多様な課題があり、つきない問題が人々を魅了している。その中でも、非線形力学の諸問題は数学・物理学・工学の融合する場であり、数学、特に解析学の応用には格好の材料である。本書は、主として日常現象に見られる非線形力学現象を数学の立場から解説し、その面白さを理解することを目的とする。応用数学では計算機実験が不可欠となっており、本書では具体的な計算例を多数用意した。. |
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