Conference on Scientific Experiments of Skylab

1974 ◽  
Keyword(s):  
Scientific Experiments

Inquiry Learning

2009 ◽  
Vol 23 (2) ◽  
pp. 117-127 ◽  
Author(s):  
Astrid Wichmann ◽  
Detlev Leutner
Keyword(s):  
Scientific Reasoning ◽  
Inquiry Learning ◽  
Instructional Support ◽  
Test Results ◽  
Knowledge Test ◽  
Simulation Based ◽  
Scientific Experiments ◽  
Specific Support ◽  
Science Classes

Seventy-nine students from three science classes conducted simulation-based scientific experiments. They received one of three kinds of instructional support in order to encourage scientific reasoning during inquiry learning: (1) basic inquiry support, (2) advanced inquiry support including explanation prompts, or (3) advanced inquiry support including explanation prompts and regulation prompts. Knowledge test as well as application test results show that students with regulation prompts significantly outperformed students with explanation prompts (knowledge: d = 0.65; application: d = 0.80) and students with basic inquiry support only (knowledge: d = 0.57; application: d = 0.83). The results are in line with a theoretical focus on inquiry learning according to which students need specific support with respect to the regulation of scientific reasoning when developing explanations during experimentation activities.

On Scientific Experiments in Balloons

1865 ◽  
Vol 13 (3) ◽  
pp. 32-35
Author(s):  
James Glaisher
Keyword(s):  
Scientific Experiments

Sound as a transverse wave

2017 ◽  
Vol 13 (1) ◽  
pp. 4522-4534
Author(s):  
Armando Tomás Canero
Keyword(s):  
Quantum Mechanics ◽  
Gravitational Waves ◽  
Longitudinal Wave ◽  
Transverse Wave ◽  
Sound Propagation ◽  
Correspondence Principle ◽  
Classical Mechanics ◽  
Wave Model ◽  
Scientific Experiments

This paper presents sound propagation based on a transverse wave model which does not collide with the interpretation of physical events based on the longitudinal wave model, but responds to the correspondence principle and allows interpreting a significant number of scientific experiments that do not follow the longitudinal wave model. Among the problems that are solved are: the interpretation of the location of nodes and antinodes in a Kundt tube of classical mechanics, the traslation of phonons in the vacuum interparticle of quantum mechanics and gravitational waves in relativistic mechanics.

scholarly journals Reactivity in social scientific experiments: what is it and how is it different (and worse) than a Placebo effect?

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
María Jiménez-Buedo
Keyword(s):  
Experimental Data ◽  
Conceptual Framework ◽  
Placebo Effect ◽  
Placebo Effects ◽  
Causal Inferences ◽  
Scientific Experiments ◽  
Social Scientific ◽  
The Many ◽  
Definition Of ◽  
In Virtue Of

AbstractReactivity, or the phenomenon by which subjects tend to modify their behavior in virtue of their being studied upon, is often cited as one of the most important difficulties involved in social scientific experiments, and yet, there is to date a persistent conceptual muddle when dealing with the many dimensions of reactivity. This paper offers a conceptual framework for reactivity that draws on an interventionist approach to causality. The framework allows us to offer an unambiguous definition of reactivity and distinguishes it from placebo effects. Further, it allows us to distinguish between benign and malignant forms of the phenomenon, depending on whether reactivity constitutes a danger to the validity of the causal inferences drawn from experimental data.

scholarly journals Reproducible Science

2010 ◽  
Vol 78 (12) ◽  
pp. 4972-4975 ◽  
Author(s):  
Arturo Casadevall ◽  
Ferric C. Fang
Keyword(s):  
Biological Systems ◽  
Experimental Result ◽  
Fundamental Assumption ◽  
Scientific Experiments ◽  
Chaotic Nature

ABSTRACT The reproducibility of an experimental result is a fundamental assumption in science. Yet, results that are merely confirmatory of previous findings are given low priority and can be difficult to publish. Furthermore, the complex and chaotic nature of biological systems imposes limitations on the replicability of scientific experiments. This essay explores the importance and limits of reproducibility in scientific manuscripts.

Towards supporting the life cycle of large scale scientific experiments

2010 ◽  
Vol 5 (1) ◽  
pp. 79 ◽  
Author(s):  
Marta Mattoso ◽  
Claudia Werner ◽  
Guilherme Horta Travassos ◽  
Vanessa Braganholo ◽  
Eduardo Ogasawara ◽  
...  
Keyword(s):  
Life Cycle ◽  
Large Scale ◽  
Scientific Experiments

On scientific experiments in balloons

1866 ◽  
Vol 82 (2) ◽  
pp. 132-138
Author(s):  
James Glaisher
Keyword(s):  
Scientific Experiments

«CHERNOMOR»: TO THE 50th ANNIVERSARY OF THE LONGEST EXPERIMENT

2021 ◽  
Vol 49 (3) ◽  
pp. 122-132
Author(s):  
T. M. Podymova
Keyword(s):  
50Th Anniversary ◽  
Maximum Depth ◽  
Optimal Methods ◽  
Oxygen Breathing ◽  
Scientific Experiments ◽  
The World ◽  
Southern Branch ◽  
Physiological Research ◽  
And Training

The work is devoted to a brief description of the preparation and conduct series of scientific experiments in the underwater laboratory “Chernomor” during the period of 1967–1972. The experiments were carried out at the depths from 8 to 30 meters. The place of the experiments is the Southern Branch of the Institute of Oceanology (Gelendzhik). It was unique experiments in the duration of a person’s stay underwater. The maximum depth for “Chernomor” was identified, the optimal methods of organizing work in underwater inhabited houses and the permissible depths for the use of nitrogen-oxygen breathing mixtures were determined. Specialized medical and physiological research was carried out to develop a methodology for the selection and training of aquanauts for future scientific crews. “Chernomor” was the only underwater house in the world that served on the seabed for five seasons in a row. More than 50 scientists from all over the country worked in it in different crews. The work is a tribute to the memory of all enthusiasts and dreamers: designers and developers, engineers and technicians, divers and scientists, everyone involved in those unforgettable events.

Clustering error messages produced by distributed computing infrastructure during the processing of high energy physics data

2021 ◽  
Vol 36 (10) ◽  
pp. 2150070
Author(s):  
Maria Grigorieva ◽  
Dmitry Grin
Keyword(s):  
Distributed Computing ◽  
Large Scale ◽  
High Energy Physics ◽  
High Energy ◽  
Machine Learning Algorithms ◽  
Service Failures ◽  
Fault Handling ◽  
Scientific Experiments ◽  
Computing Centers ◽  
Distributed Computing Infrastructures

Large-scale distributed computing infrastructures ensure the operation and maintenance of scientific experiments at the LHC: more than 160 computing centers all over the world execute tens of millions of computing jobs per day. ATLAS — the largest experiment at the LHC — creates an enormous flow of data which has to be recorded and analyzed by a complex heterogeneous and distributed computing environment. Statistically, about 10–12% of computing jobs end with a failure: network faults, service failures, authorization failures, and other error conditions trigger error messages which provide detailed information about the issue, which can be used for diagnosis and proactive fault handling. However, this analysis is complicated by the sheer scale of textual log data, and often exacerbated by the lack of a well-defined structure: human experts have to interpret the detected messages and create parsing rules manually, which is time-consuming and does not allow identifying previously unknown error conditions without further human intervention. This paper is dedicated to the description of a pipeline of methods for the unsupervised clustering of multi-source error messages. The pipeline is data-driven, based on machine learning algorithms, and executed fully automatically, allowing categorizing error messages according to textual patterns and meaning.

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