Frank Tompa is a Canadian computer scientist known for his contributions to the fields of programming languages, algorithms, and formal methods. He has worked on various topics, including the theory of computation, software verification, and the development of programming languages. His research often focuses on the formalization of programming concepts and the application of mathematical techniques to software engineering problems.

Herbert Keller could refer to a variety of individuals or concepts, as the name isn't uniquely identifiable. Without further context, it could relate to: 1. **A Person**: There might be various individuals named Herbert Keller in different fields such as academia, literature, or business. 2. **Historical Figure**: He could refer to a historical person with significance in a particular field.

Jacob Glanville is a biomedical researcher and entrepreneur known for his work in the field of immunology and vaccine development. He gained prominence for his efforts in using computational methods to design antibodies and develop treatments for infectious diseases. Glanville is also recognized for his role in the biotech industry and has been associated with various initiatives that aim to address public health challenges.

As of my last knowledge update in October 2021, there is no widely recognized concept, entity, or figure known as "Mary Ann Mansigh." It's possible that it could be a name of a private individual, a fictional character, or something that has come into recognition after my last update. Please provide more context or check more recent sources for the latest information.

Mary Tsingou is known for her contributions to the field of finance, particularly in areas related to financial engineering and risk management. She has been involved in academia and has published research related to financial derivatives and risk assessment.

Milos Konopasek does not appear to be a widely recognized public figure, concept, or term in my training data. It is possible that he is a private individual, an emerging figure in a specific field, or related to a niche topic not covered in detail in mainstream sources.

Discovery science, often referred to as descriptive or observational science, is a scientific approach that emphasizes the collection and analysis of data to identify patterns, relationships, or phenomena without necessarily testing a specific hypothesis. This type of science is particularly important in fields where experimental manipulation is challenging or impossible, such as in ecology, astronomy, or paleontology. Key characteristics of discovery science include: 1. **Observation and Description**: It involves careful observation and detailed descriptions of biological, physical, or environmental phenomena.

Evidence-based practice (EBP) is an approach to decision-making in various fields, particularly in healthcare, that emphasizes the use of the best available evidence, combined with clinical expertise and patient values. The goal of EBP is to improve outcomes and enhance the quality of services by integrating the following components: 1. **Best Available Evidence**: This consists of the most current and relevant research findings.

Tobias Preis is a prominent researcher in the field of data science, particularly known for his work involving the application of computational methods and data analytics to understand and model complex systems. He is associated with the University of Warwick in the UK. Preis's research often focuses on using large-scale data sets to analyze trends in human behavior, financial markets, and social phenomena, with an emphasis on how these insights can inform decision-making and strategy.

Dating methods are techniques used by scientists and researchers to determine the age of objects, artifacts, or geological formations. These methods are particularly important in fields such as archaeology, geology, paleontology, and anthropology. Dating can be classified into two main categories: relative dating and absolute dating. ### 1. Relative Dating Relative dating methods are used to determine the age of an object or layer in relation to others.

Heuristics are cognitive strategies or mental shortcuts that people use to simplify decision-making and problem-solving processes. These strategies can help individuals arrive at solutions more quickly than more complex methods, particularly in situations where there is uncertainty or incomplete information. Heuristics are often based on prior experiences, common sense, and rules of thumb. While heuristics can be useful and efficient, they can also lead to biases and systematic errors in judgment.

Research methods refer to the systematic processes and techniques used to collect, analyze, and interpret data in order to answer specific questions or to test hypotheses. These methods are crucial across various fields, including social sciences, natural sciences, humanities, and business. The choice of research methods often depends on the nature of the research question, the objectives of the study, and the type of data needed.

Science experiments are systematic procedures conducted to test hypotheses, investigate phenomena, or demonstrate scientific principles. These experiments involve observing, measuring, and analyzing natural occurrences in a controlled environment. The goal is to gather empirical evidence that supports or refutes an idea or theory. Here are some key components of science experiments: 1. **Hypothesis**: A testable prediction about the relationship between variables. 2. **Variables**: Factors that can change in an experiment.

Scientific techniques refer to the methods and procedures used in the scientific process to conduct research, gather data, analyze results, and draw conclusions. These techniques are fundamental to scientific inquiry and are designed to ensure that research is systematic, objective, and replicable. Some common scientific techniques include: 1. **Observation**: Carefully watching and recording events or phenomena to gather information. 2. **Experimentation**: Conducting controlled tests to investigate hypotheses by manipulating variables and observing the outcomes.

Cross impact analysis is a technique used to assess how various factors or events might impact each other within a given system or scenario. It is often employed in fields such as strategic planning, futures studies, risk assessment, and decision-making processes. The primary goal of cross impact analysis is to understand the interdependencies and interactions among different variables, enabling better-informed decisions by visualizing potential outcomes and relationships.

A pilot experiment, often referred to as a pilot study, is a small-scale preliminary study conducted to evaluate the feasibility, time, cost, risk, and adverse events involved in a particular research project or experiment. The main purposes of a pilot experiment include: 1. **Testing Procedures**: It assesses the experimental design, data collection methods, and analytical approaches.

Experimenter's regress is a concept in the philosophy of science and the sociology of knowledge that highlights a potential circularity in the process of validating scientific experiments. It occurs when the results of an experiment are dependent on the theoretical framework or understanding of the researcher, which in turn may be validated or refuted by the outcomes of the same experiment.

Fringe science refers to scientific ideas and theories that are considered to be outside the mainstream scientific consensus. These concepts often lack substantial empirical support or reproducibility and may not adhere to the rigorous methodologies and standards typically expected in established scientific fields. Fringe science can include topics that border on pseudoscience, where they might make claims that cannot be tested or falsified, or where they rely on anecdotal evidence rather than systematic research.

The "Gold effect" can refer to different concepts depending on the context. Here are a few interpretations: 1. **Economics and Finance**: In the context of economics, the "Gold effect" can refer to the influence of gold prices on other markets or economic indicators. For example, a rise in gold prices may suggest economic instability or increased inflation, prompting investors to shift their portfolios in response.

Isotope dilution is a quantitative analytical technique used to determine the concentration of a specific substance in a sample by using isotopically labeled compounds. This method relies on the principle that when a known quantity of an isotopically enriched (labeled) version of the substance is mixed with the sample, the ratio of the isotopes can be measured. It is particularly useful for analyzing trace elements and compounds in complex matrices where conventional techniques might be less effective.