A new approach to the self‐learning manual

1983 ◽  
Vol 15 (7) ◽  
pp. 208-211
Author(s):  
ELIZABETH ORNA ◽  
GRAHAM STEVENS
Keyword(s):  
The Self ◽  
New Approach ◽  
Self Learning

scholarly journals Multipolicy Robot-Following Model Based on Reinforcement Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Ning Yu ◽  
Lin Nan ◽  
Tao Ku
Keyword(s):  
Decision Problem ◽  
Empirical Investigation ◽  
The Self ◽  
Learning Method ◽  
Complex Environments ◽  
New Approach ◽  
Policy Model ◽  
Decision Methods ◽  
Out Of Sample ◽  
Self Learning

We propose in this paper a new approach to solve the decision problem of robot-following. Different from the existing single policy model, we propose a multipolicy model, which can change the following policy in time according to the scene. The value of this paper is to obtain a multipolicy robot-following model by the self-learning method, which is used to improve the safety, efficiency, and stability of robot-following in the complex environments. Empirical investigation on a number of datasets reveals that overall, the proposed approach tends to have superior out-of-sample performance when compared to alternative robot-following decision methods. The performance of the model has been improved by about 2 times in situations where there are few obstacles and about 6 times in situations where there are lots of obstacles.

Protocols Analysis Based on the Combination Mode of Walsh Function

2014 ◽  
Vol 543-547 ◽  
pp. 3482-3485
Author(s):  
Wen Hong Zhao
Keyword(s):  
Protocol Analysis ◽  
Walsh Function ◽  
The Self ◽  
Structure Characterization ◽  
Network Protocol ◽  
New Approach ◽  
Analysis Process ◽  
Combination Modes ◽  
Combination Mode ◽  
Self Learning

To analyses networks, technologies of network protocol analysis are usually used. A new approach of protocols analysis is presented based on the combination mode of walsh function. It consists of three parts, such as the protocol structure characterization method, the hierarchical protocol analysis and the self-learning combination modes. After discussing the analysis process, an experiment shows the efficiency of presented approach.

Bottom-up Evolution from Disks to High-Genus Polymersomes

2018 ◽  
Author(s):  
Claudia Contini ◽  
Russell Pearson ◽  
Linge Wang ◽  
Lea Messager ◽  
Jens Gaitzsch ◽  
...  
Keyword(s):  
Self Assembly ◽  
The Self ◽  
Amphiphilic Copolymers ◽  
Chain Entanglement ◽  
Bottom Up ◽  
New Approach ◽  
High Genus ◽  
Transmission Electron ◽  
Minimal Radius ◽  
Stop Flow

<div><div><div><p>We report the design of polymersomes using a bottom-up approach where the self-assembly of amphiphilic copolymers poly(2-(methacryloyloxy) ethyl phosphorylcholine)–poly(2-(diisopropylamino) ethyl methacrylate) (PMPC-PDPA) into membranes is tuned using pH and temperature. We study this process in detail using transmission electron microscopy (TEM), nuclear magnetic resonance (NMR) spectroscopy, dynamic light scattering (DLS), and stop-flow ab- sorbance disclosing the molecular and supramolecular anatomy of each structure observed. We report a clear evolution from disk micelles to vesicle to high-genus vesicles where each passage is controlled by pH switch or temperature. We show that the process can be rationalised adapting membrane physics theories disclosing important scaling principles that allow the estimation of the vesiculation minimal radius as well as chain entanglement and coupling. This allows us to propose a new approach to generate nanoscale vesicles with genus from 0 to 70 which have been very elusive and difficult to control so far.</p></div></div></div>

Bottom-up Evolution from Disks to High-Genus Polymersomes

2018 ◽  
Author(s):  
Claudia Contini ◽  
Russell Pearson ◽  
Linge Wang ◽  
Lea Messager ◽  
Jens Gaitzsch ◽  
...  
Keyword(s):  
Self Assembly ◽  
The Self ◽  
Amphiphilic Copolymers ◽  
Chain Entanglement ◽  
Bottom Up ◽  
New Approach ◽  
High Genus ◽  
Transmission Electron ◽  
Minimal Radius ◽  
Stop Flow

<div><div><div><p>We report the design of polymersomes using a bottom-up approach where the self-assembly of amphiphilic copolymers poly(2-(methacryloyloxy) ethyl phosphorylcholine)–poly(2-(diisopropylamino) ethyl methacrylate) (PMPC-PDPA) into membranes is tuned using pH and temperature. We study this process in detail using transmission electron microscopy (TEM), nuclear magnetic resonance (NMR) spectroscopy, dynamic light scattering (DLS), and stop-flow ab- sorbance disclosing the molecular and supramolecular anatomy of each structure observed. We report a clear evolution from disk micelles to vesicle to high-genus vesicles where each passage is controlled by pH switch or temperature. We show that the process can be rationalised adapting membrane physics theories disclosing important scaling principles that allow the estimation of the vesiculation minimal radius as well as chain entanglement and coupling. This allows us to propose a new approach to generate nanoscale vesicles with genus from 0 to 70 which have been very elusive and difficult to control so far.</p></div></div></div>

De se marking, logophoricity, and ziji

2018 ◽  
Author(s):  
Hsiang-Yun Chen
Keyword(s):  
Blocking Effect ◽  
The Self ◽  
Critical Examination ◽  
Long Distance ◽  
Attitude Ascription ◽  
New Approach ◽  
De Se

This chapter addresses the assumed connection between de se attitude ascription and logophoricity in the case of Chinese ziji. It is widely believed that logophors are among the paradigm cases of de se marking, and that long-distance ziji is logophoric. Drawing on a critical examination of a variety of analyses, this chapter argues that long-distance anaphora, de se interpretation, and logophoric marking are overlapping but distinct phenomena. Even if ziji is logophoric, it does not automatically trigger de se requirement. A de se-neutral analysis of ziji is consistent with pragmatic derivations of interpretations that emphasize the self. The findings point to a new approach to long-distance binding, and identify the blocking effect as the key issue for further research.

scholarly journals The potential of transformative video design for improving caregiver’s wellbeing

2021 ◽  
Vol 8 (1) ◽  
pp. 205510292110090
Author(s):  
Milica Petrovic ◽  
Andrea Gaggioli
Keyword(s):  
Health Outcomes ◽  
Narrative Identity ◽  
Meaning Making ◽  
Informal Caregivers ◽  
The Self ◽  
Design Technique ◽  
New Approach ◽  
Role Transformation

The existing interventions for informal caregivers assist with managing health outcomes of the role burden. However, the deeper meaning-making needs of informal caregivers have been generally neglected. This paper reflects on the meaning-making needs of informal caregivers, through the theory of narrative identity, and proposes a new approach – the Transformative Video Design technique delivered via video storytelling. Transformative Video Design assists informal caregivers to re-create a cohesive caregiving story and incorporate it into the narrative identity. The technique is used as a stimulus for triggering the self-re-structure within the narrative identity and facilitating role transformation.

scholarly journals Artificial Intelligence in Biomedicine: A Legal Insight

BioTech ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 15
Author(s):  
Takis Vidalis
Keyword(s):  
Artificial Intelligence ◽  
Personal Data ◽  
Health Data ◽  
The Self ◽  
Data Handling ◽  
Direct Control ◽  
Eu Legislation ◽  
Attending Physicians ◽  
Self Learning ◽  
The Eu

The involvement of artificial intelligence in biomedicine promises better support for decision-making both in conventional and research medical practice. Yet two important issues emerge in relation to personal data handling, and the influence of AI on patient/doctor relationships. The development of AI algorithms presupposes extensive processing of big data in biobanks, for which procedures of compliance with data protection need to be ensured. This article addresses this problem in the framework of the EU legislation (GDPR) and explains the legal prerequisites pertinent to various categories of health data. Furthermore, the self-learning systems of AI may affect the fulfillment of medical duties, particularly if the attending physicians rely on unsupervised applications operating beyond their direct control. The article argues that the patient informed consent prerequisite plays a key role here, not only in conventional medical acts but also in clinical research procedures.

Das intelligente Instandhaltungssystem/The intelligent maintenance system - An approach for the self-learning structuring of maintenance libraries

2017 ◽  
Vol 107 (07-08) ◽  
pp. 530-535
Author(s):  
T. Miebach ◽  
M. Schmidt ◽  
P. Prof. Nyhuis
Keyword(s):  
Collaborative Research ◽  
The Self ◽  
Research Centre ◽  
Maintenance System ◽  
Intelligent Maintenance ◽  
Product Engineering ◽  
The Right ◽  
Self Learning ◽  
Intelligent Maintenance System

Der Fachbeitrag stellt eine Methode vor, mit der sich Bibliotheken von Instandhaltungsmaßnahmen selbstlernend gestalten lassen. Die „Intelligenz“ solcher Systeme bietet mehrfachen Nutzen, einerseits durch die Auswahl der passenden Instandhaltungsmethode zum richtigen Zeitpunkt, andererseits durch die damit verbundene Erhöhung des kompletten Abnutzungsvorrates. Die Ergebnisse sind im Sonderforschungsbereich 653 „Gentelligente Bauteile im Lebenszyklus – Nutzung vererbbarer, bauteilinhärenter Informationen in der Produktionstechnik“ entstanden. &nbsp; This article describes a method to design a self-learning maintenance library. The benefit derived from the intelligence of those systems refers to the right choice of maintenance measures at the right time and the enhancement of the whole wear margin. The results are part of the Collaborative Research Centre 653: Gentelligent components in their lifecycle – Utilization of inheritable component information in product engineering.

New Approach for Researching Forest Ecosystem

2012 ◽  
Vol 472-475 ◽  
pp. 3384-3389
Author(s):  
Zai Qiang Huo ◽  
Xue Qun Zhu
Keyword(s):  
Complex System ◽  
Forest Ecosystem ◽  
Driving Force ◽  
Structure And Function ◽  
The Self ◽  
Self Organization ◽  
New Approach ◽  
Edge Of Chaos ◽  
And Function ◽  
Research Frontiers

It is valuable to be researched in the application of science of complexity to the forest ecosystem. Forest ecosystem is an adaptive complex system which is suggested to be at the edge of chaos or at the criticality. The inner interaction of a forest ecosystem is the main driving force for the self-organization, complexity and order in the forest ecosystem. Forest ecosystem complexity is one of the research frontiers of ecological and evolutionary problems presently. The application of science of complexity to the forest ecosystem complexity studies, its concept, background, methodology and theory are briefly introduced. The forest ecosystem complexity is defined as the structure and function diversity, self-organization and the order of an ecosystem. Its main methods include the cellular automaton, genetic algorithm, game theory, complex network, etc. This paper has discussed mechanism and development of forest ecosystem complexity, by applying the principle and methods of science of complexity, which is a new approach for understanding ecological and evolutionary problems.

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