Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision

RUL estimation plays a vital role in effectively scheduling maintenance operations. Unfortunately, it suffers from a severe data imbalance where data from machines near their end of life is rare. Additionally, the data produced by a machine can only be labeled after the machine failed. Both of these points make using data-driven methods for RUL estimation difficult. Semi-Supervised Learning (SSL) can incorporate the unlabeled data produced by machines that did not yet fail into data-driven methods. Previous work on SSL evaluated approaches under unrealistic conditions where the data near failure was still available. Even so, only moderate improvements were made. This paper defines more realistic evaluation conditions and proposes a novel SSL approach based on self-supervised pre-training. The method can outperform two competing approaches from the literature and the supervised baseline on the NASA Commercial Modular Aero-Propulsion System Simulation dataset.

Ironical edification

The paper deals with ironic edification – autosemantic utterances which contain critical evaluation of human shortcomings expressed in derisive assertion of absurd, or pretentious, or malicious behavior certain people manifest. They make a specific class of proverbs, aphorisms, and miniatures of modern network discourse. They are heterogeneous and vary from profound observations of human character up to banalities used to amuse a down-home partner, from witty phrases up to acid black humour. They are very common in everyday conversations and serve to help interlocutors express their understanding of hidden manipulations they are exposed to. Structurally they may be simple and composite, the former are integral sentences expressing a certain attitude to norms of behavior, the latter are judgments which consist of two parts, in the first part a certain positive norm of behavior is expressed, and in the second part it is denied. Their integral semantic content is a frame which expresses a concessive juxtaposition of values, pragmatically they promote important assumptions about realistic evaluation of human nature, and their most relevant syntactic feature is a ludic allusion to well-known texts or events.

22. Searching for the causes of crime

This chapter addresses the causes of crime, the exploration of which has been a high priority within criminology as the main way of explaining crime and of informing responses to crime. The chapter begins by considering how criminologists understand crime and the causes of crime, comparing interpretivism with positivism as ways of exploring and thinking about crime. A central motivation for identifying causes is to validate the factors targeted through criminological responses such as sentencing, crime reduction and prevention activity, and policy. The dominance of positivist experimentation within criminology and the associated search for causes has been re-animated in the 21st century by the growing popularity of experimental criminology in the US, most notably the ‘what works’ experimental method of evaluating crime prevention programmes. The chapter then looks at contemporary challenges to the experimental ‘what works’ approach, namely realistic evaluation, the theory of change model, and chaos theory.

Constructing and Standardizing Compound Tests (Physical _ Skill) According to Phosphate Energy System for National Center for Gifted in Handball Players aged (15 – 17) Years Old

The research aim at constructing and standardizing compound tests (skill – physical) according to the phosphate energy system for the national center for gifted handball players aged (15 – 17) years old. The researchers used the descriptive method on (60) handball players from the national center for gifted in handball. Four tests were selected and a pilot study was conducted followed by the tests and the data was collected and treated using proper statistical operations to conclude that compound tests give a realistic evaluation for handball performance. Finally, the researcher recommended using these tests on regular bases for players’ selection as well as making other tests on other abilities and skills.