A New Laboratory Method for Altering Positive Affect

1995 ◽  
Vol 76 (3_suppl) ◽  
pp. 1103-1106 ◽  
Author(s):  
David Wiseman ◽  
Irwin P. Levin
Keyword(s):  
Positive Affect ◽  
Real World ◽  
Mood Induction ◽  
Laboratory Method ◽  
New Method ◽  
Demand Characteristics ◽  
Time Period ◽  
Specific Amount

This paper reports the development with 95 undergraduates of a new method for altering Positive Affect in the laboratory. The method consists of assigning persons to complete a boring task for a specific amount of time and, shortly after beginning the task, informing them that the assigned time period has either been increased or reduced. The advantages of this method are that it is effective, relatively free of demand characteristics, ethical, fast to administer, and parallels “real world” experiences. In addition, this procedure seems to circumvent limitations of other mood-induction procedures.

Accidental Pilgrims

2018 ◽  
pp. 77-114
Author(s):  
Karin Vélez
Keyword(s):  
Real World ◽  
Time Period

This chapter describes how some Catholic pilgrims tried to reconcile the Jesuit official advice of mental self-discipline with their first intense encounters with the Madonna of Loreto. The pilgrims' stories involve both contemplative quests for spiritual improvement and transformative run-ins with the material manifestations of Catholicism. Yet they flip the order recommended by Richeòme of contemplation first and real world next. The first pilgrims considered are the Jesuits who loom large behind the good-pilgrimage rubrics of this time period. Then, the Jesuit template for pilgrimage is tested against the reported experiences of two non-Jesuit travelers to Loreto, Nicolà Albani and Pierre Chaumonot.

Grey Paints: Using Earnings Quality Concepts to Clarify the Earnings Measurement Process

2002 ◽  
Vol 17 (4) ◽  
pp. 431-445
Author(s):  
Jerry G. Kreuze ◽  
Jack M. Ruhl
Keyword(s):  
Earnings Management ◽  
Real World ◽  
Correct Answer ◽  
Earnings Quality ◽  
Measurement Process ◽  
Accounting Students ◽  
The Real ◽  
Time Period ◽  
Inherent Ambiguity

This case uses the concepts of earnings quality and earnings management to illustrate the inherent ambiguity in the earnings measurement process. Accounting students are often uncomfortable with ambiguity. Students want faculty to provide them with a single correct answer, such as the precise earnings for a given time period. Accounting textbooks rarely address this perception; we have yet to find a textbook that illustrates a range of acceptable amounts. This case demonstrates that earnings can be, and often are, ambiguous in the real world.

Applicability of Lehman Laws on Open Source Evolution

2015 ◽  
pp. 199-224
Author(s):  
Nisha Ratti ◽  
Parminder Kaur
Keyword(s):  
Open Source ◽  
Real World ◽  
Software Maintenance ◽  
Software Evolution ◽  
Object Oriented ◽  
User Requirements ◽  
Continuous Change ◽  
Essential Characteristic ◽  
Time Period ◽  
Object Oriented Metrics

Software evolution is the essential characteristic of the real world software as the user requirements changes software needs to change otherwise it becomes less useful. In order to be used for longer time period, software needs to evolve. The software evolution can be a result of software maintenance. In this chapter, a study has been conducted on 10 versions of GLE (Graphics Layout Engine) and FGS (Flight Gear Simulator) evolved over the period of eight years. An effort is made to find the applicability of Lehman Laws on different releases of two softwares developed in C++ using Object Oriented metrics. The laws of continuous change, growth and complexity are found applicable according to data collected.

Methods and Methodology

2009 ◽  
pp. 628-637
Author(s):  
Elda Nikolou-Walker
Keyword(s):  
Northern Ireland ◽  
Real World ◽  
Police Officers ◽  
Learning Experience ◽  
New Method ◽  
Positive Experience ◽  
School Of Education ◽  
New Approach ◽  
Work Related ◽  
Traditional Training

This study reviews the innovative programme developed in 2004 between the Work-Based Learning unit in the School of Education at Queen’s University, Belfast and the Police Service of Northern Ireland (PSNI). The scheme enables probationary officers to develop new skills by means of an Advanced Diploma in Work-Based Learning linked to the traditional training in operational policing. This new programme not only creates a new approach to police development, but also allows for the accreditation of the Work-Based Learning. The focus of the entire learning experience is within the real world context. Its objective is to enable students to reflect on their own work-related experience, to develop their understanding of appropriate work-based research approaches and methods and to identify and design a work-based project. The aim is to explore the evidence of the positive experience of trainees who have embarked on this new method of learning. Using interviews, observations, focus-groups and questionnaires, a review has been conducted on how the programme is attempting to contribute towards a positive change regarding the abilities of the new police officers.

scholarly journals Adolescents’ neural response to social reward and real-world emotional closeness and positive affect

2018 ◽  
Vol 18 (4) ◽  
pp. 705-717 ◽  
Author(s):  
Luis E. Flores ◽  
Kristen L. Eckstrand ◽  
Jennifer S. Silk ◽  
Nicholas B. Allen ◽  
Marigrace Ambrosia ◽  
...  
Keyword(s):  
Positive Affect ◽  
Real World ◽  
Neural Response ◽  
Social Reward ◽  
Emotional Closeness

Collision Avoidance for a Multiple-DOF Manipulator Based on Empty Space Analysis of the 3-D Real World

1992 ◽  
Vol 4 (5) ◽  
pp. 430-436 ◽  
Author(s):  
Hiromu Onda ◽  
◽  
Tsutomu Hasegawa ◽  
Toshihiro Matsui ◽  
Keyword(s):  
Collision Avoidance ◽  
Real World ◽  
Degrees Of Freedom ◽  
Empty Space ◽  
Joint Space ◽  
Degree Of Freedom ◽  
New Method ◽  
Promising Direction ◽  
Space Analysis ◽  
Path Search

This paper describes a new method for finding collisionfree paths for a multiple-degree of freedom (DOF) manipulator with rotational joints and a grasped object. The method first analyzes the structure of empty space in the 3-D workspace. Based on this space analysis, the path search is divided and direction which appears to be most promising is determined in the 3-D workspace. Finally, the path search is systematically executed in the joint space in the direction equivalent to the promising direction. This method is applicable to various problems regardless of the number of degrees of freedom of the manipulator, its structure, and the presence of a grasped object.

Supplier Evaluation Based on Mobile Agent and Information Credibility

2010 ◽  
Vol 97-101 ◽  
pp. 3587-3592
Author(s):  
Xiao Rong Huang ◽  
Shun Sheng Guo ◽  
Xiao Bing Yu
Keyword(s):  
Mobile Agent ◽  
Quantitative Data ◽  
Supplier Selection ◽  
Qualitative Data ◽  
New Method ◽  
Supplier Evaluation ◽  
Evaluation Data ◽  
Expert Rating ◽  
Time Period ◽  
Information Credibility

Supplier evaluation is the most vital action of supplier selection. Supplier evaluation data is divided into two kinds: the qualitative and the quantitative. In this study, it proposes through using mobile agent to obtain quantitative data from suppliers and expert rating methods to get qualitative data. To deal with the inconsistency of time period about getting these two types data, a new method is proposed to process the qualitative data by the establishment of information credibility about evaluation data. The obtained results show that the proposed method is well suited for supplier evaluation to shorten the evaluation cycle and enhance the timeliness.

scholarly journals OPTIMISING THE SMOOTHNESS AND ACCURACY OF MOVING AVERAGE FOR STOCK PRICE DATA

2018 ◽  
Vol 24 (3) ◽  
pp. 984-1003 ◽  
Author(s):  
Aistis RAUDYS ◽  
Židrina PABARŠKAITĖ
Keyword(s):  
Time Series ◽  
Real World ◽  
Stock Price ◽  
Weather Forecasting ◽  
Moving Average ◽  
New Method ◽  
Traffic Prediction ◽  
Real World Data ◽  
Price Series ◽  
Unseen Data

Smoothing time series allows removing noise. Moving averages are used in finance to smooth stock price series and forecast trend direction. We propose optimised custom moving average that is the most suitable for stock time series smoothing. Suitability criteria are defined by smoothness and accuracy. Previous research focused only on one of the two criteria in isolation. We define this as multi-criteria Pareto optimisation problem and compare the proposed method to the five most popular moving average methods on synthetic and real world stock data. The comparison was performed using unseen data. The new method outperforms other methods in 99.5% of cases on synthetic and in 91% on real world data. The method allows better time series smoothing with the same level of accuracy as traditional methods, or better accuracy with the same smoothness. Weights optimised on one stock are very similar to weights optimised for any other stock and can be used interchangeably. Traders can use the new method to detect trends earlier and increase the profitability of their strategies. The concept is also applicable to sensors, weather forecasting, and traffic prediction where both the smoothness and accuracy of the filtered signal are important.

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