Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Principles of Neural Science

介绍了Kirk—Othmer Encyclopedia of Chemical Technology（化工技术百科全书）（第五版）电子图书网络版数据库，并对该数据库使用方法和检索途径作出了说明，且结合实例简单地介绍了该数据库的检索方法。

Kirk-Othmer Encyclopedia of Chemical Technology数据库介绍及实例

An overview of sustainability assessment methodologies

「脆弱性(Vulnerability)」とは何か

Quantum Mechanics and Molecular Dynamics Strategies to Investigate Self-Aggregation of Quinolin-65

There have been many efforts to reduce risk in process-safety incidents, for both onshore and offshore drilling, where operating conditions can be extremely hazardous with severe consequences. Due to the complexity of a drilling rigs design, the nature, and the complexity of drilling operation, unforeseen problems encountered during drilling operations, as well as surrounding obstacles can last for many years and cost billions of dollars in order to be resolved. The Macondo Deepwater Gulf of Mexico blowout and spill (2010) and the Piper Alpha in the North Sea (1988) are excellent examples of the high risks associated with the offshore drilling operation. Continued oil and gas disasters have sounded the alarm, and there is an urgent need of a new approach explaining safety during oil and gas extraction and production processes that will help develop further academic researches about improving safety circumstances. Therefore, this chapter will provide an overview of the nature of the oil and gas industry including operational and occupational safety during oil and gas extraction and production activities in onshore/offshore drilling. Both onshore and offshore drilling operation activities are very risky and have a serious potential to harm people, to cause damage to the environment or loss to assets, and to adversely impact the industry’s reputation. Despite all the effort from the oil and gas industry to prevent accidents, operational accidents, and occupational injuries are still existing and keep posing a major threat in the oil and gas industry with a serious social, environmental, and economic consequences. This could be attributed to adoption of the classical risk assessment and management by the oil and gas industry, which will be spotlighted at the end of this chapter, the lack of adoption of advanced safety engineering studies around quantitative risk assessment (QRA) and dynamic accident modeling, and cost-cutting plans that are widely implemented in the oil and gas industry, which undermine safety. Therefore, it is very important to have a better understanding about safety practices currently used by the industry during oil and gas extraction and production processes to set a general guideline for safe operational drilling operation and to achieve the highest standards of occupational health and safety and environmental protection. Accordingly, the objective of this chapter is to address drilling operation sequences supported with a hypothetical scenario of a real well drilling operation and common safety practice followed by the oil and gas drilling companies worldwide. The proposed hypothetical scenario will simulate a real process of oil well drilling and reveal specific details regarding common hazards that can be encountered during drilling operations. The proposed hypothetical scenario will try to give the reader and researchers more specific details of how drilling operation is executed from A to Z and who are expected to be at hazardous operational and radiological risks including drilling rig crew members, services contractors, and many other people who are involved in midstream and downstream activities. Understanding the nature of oil and gas operation will help to understand how workers in the oil and gas industry are at a high potential risk of being exposed to radiation and other known hazardous risks in the oil and gas industry to provide a safe guideline to monitor radiological risk that appears in all oil and gas extraction and production processes.

An overview of operational and occupational safety in onshore and offshore oil and gas extraction and production processes

Independent safe navigation in ice-covered water is difficult. Icebreaker assistance is required for sailing through ice- covered waters. This poses an additional risk of collision. The study proposes a modified Human Factor Analysis and Classification (HFACS) framework to identify and classify contributing risk factors during a convoy. HFACS integration with Nagel-Schrekenberg (NaSch) model considers an operator’s behaviour and links it with the occurrence of various risk factors. The study finds significant influence in risk from small changes in two new factors, viz., crew reduction and crew overload. For example, based on the sensitivity analysis, it is determined that about a 17% contribution of crew reduction and about a 24% of contribution of crew overload increase the contribution of risk taking by an amount of approximately 93% in the overall risk of accidents. The accident probabilities obtained here will be helpful in decision making concerning safe operations during a convoy.

Integrated Accident Model for Marine Convoy Traffic in Ice-Covered Waters

Introduction to special issue on European process safety pioneers

The flare system plays a crucial role in oil and gas production, refining and processing. Essentially, the flaring system represents the last line of defence in the clearance of undesired products released from the emergency relief. This paper presents a probabilistic risk assessment of an offshore flaring system using a Bayesian network. The analysis was carried out on an emergency shutdown caused due to major process upset. The scenario is modelled by a Bayesian network using GeNIe 2.2.4. The interdependencies among the events were modelled by the conditional probability table to construe the real scenario. Sensitivity analysis was also carried out to study the impact of imprecision of data and find the critical components of the system. Thus, pumps (P1 and P2), sensor S2 and level indicator safety barrier were found to be the most decisive for the damaging effects. This can be an efficient approach for safe mitigation of the unwanted process conditions.

Faisal Khan

Papers

Quantum Mechanics and Molecular Dynamics Strategies to Investigate Self-Aggregation of Quinolin-65

An overview of operational and occupational safety in onshore and offshore oil and gas extraction and production processes

Integrated Accident Model for Marine Convoy Traffic in Ice-Covered Waters

Introduction to special issue on European process safety pioneers

A Probabilistic Risk Assessment of Offshore Flaring Systems Using Bayesian Network