Hostility Reduction and Performance

1969 ◽  
Vol 25 (2) ◽  
pp. 503-512 ◽  
Author(s):  
Morton Goldman ◽  
Jonathan W. Keck ◽  
Charles J. O'Leary
Keyword(s):  
Teacher Evaluation ◽  
Task Performance ◽  
Rating Scale ◽  
Control Treatment ◽  
Classroom Performance ◽  
Evaluation Form ◽  
And Performance ◽  
And Control

The study was concerned with the adequacy of several methods for reducing or preventing hostility toward a frustrating teacher and examined whether classroom performance was affected. Two cathartic methods, Rating Scale and Mutual Expression, and two non-cathartic methods, Explanation and Control, were induced. Residual hostility toward the teacher was measured by means of a Teacher Evaluation Form. Results showed that the Explanation method was most effective and the two cathartic methods were least effective in preventing or reducing residual hostility. The two cathartic methods actually increased residual hostility as compared to the Control treatment. Task performance efficiency varied directly with the level of residual hostility. Doubt is cast upon the catharsis hypothesis and a relationship between residual hostility and performance was found.

The Effects of Assigned and Self-Set Goals on Task Performance

1994 ◽  
Vol 16 (3) ◽  
pp. 258-269 ◽  
Author(s):  
B. Ann Boyce ◽  
Valerie K. Wayda
Keyword(s):  
Task Performance ◽  
Goal Setting ◽  
Repeated Measures ◽  
Significant Interaction ◽  
The Self ◽  
Control Group ◽  
Goal Condition ◽  
Motivation Level ◽  
And Performance ◽  
And Control

This study investigated the effect of three goal-setting conditions (self-set, assigned, and control) and two levels of self-motivation (medium and high) on the performance of females participating in 12 university weight training classes (N = 252). The subjects' levels of self-motivation were assessed via Dishman, Ickes, and Morgan's (1980) Self-Motivation Inventory (SMI). The baseline and performance trials were analyzed in a 3 × 2 × 10 (Goal Condition × Motivation Level × Trial) ANCOVA design, with repeated measures on the last factor and baseline as the covariate. A significant interaction of goal-setting groups and trials was found. Planned comparisons indicated that the assigned goal group was statistically superior to the control and to the self-set groups from Trial 3 through retention. In addition, the two goal-setting groups were statistically superior to the control group at the seventh through retention trials. The subjects' SMI levels were not found to moderate the effect of goal setting on performance.

Not Just Generalizability: A Case for Multifaceted Latent Trait Models in Teacher Observation Systems

2019 ◽  
Vol 48 (8) ◽  
pp. 521-533 ◽  
Author(s):  
Stefanie A. Wind ◽  
Eli Jones
Keyword(s):  
Teacher Evaluation ◽  
Evaluation System ◽  
Rating Scales ◽  
Rating Scale ◽  
Generalizability Theory ◽  
Latent Trait ◽  
Multiple Sources ◽  
Rater Severity ◽  
Teacher Evaluation Systems ◽  
And Control

Teacher evaluation systems often include classroom observations in which raters use rating scales to evaluate teachers’ effectiveness. Recently, researchers have promoted the use of multifaceted approaches to investigating reliability using Generalizability theory, instead of rater reliability statistics. Generalizability theory allows analysts to quantify the contribution of multiple sources of variance (e.g., raters and tasks) to measurement error. We used data from a teacher evaluation system to illustrate another multifaceted approach that provides additional indicators of the quality of observational systems. We show how analysts can use Many-Facet Rasch models to identify and control for differences in rater severity, identify idiosyncratic ratings associated with various facets, and evaluate rating scale functioning. We discuss implications for research and practice in teacher evaluation.

The role of copper ions in hydrogen peroxide bleaching: Their origin, removal, and effect on pulp quality

TAPPI Journal ◽  
2012 ◽  
Vol 11 (7) ◽  
pp. 37-46 ◽  
Author(s):  
PEDRO E.G. LOUREIRO ◽  
SANDRINE DUARTE ◽  
DMITRY V. EVTUGUIN ◽  
M. GRAÇA V.S. CARVALHO
Keyword(s):  
Hydrogen Peroxide ◽  
Copper Ions ◽  
Peroxide Bleaching ◽  
Metals Removal ◽  
Peroxide Decomposition ◽  
Equipment Corrosion ◽  
And Performance ◽  
And Control ◽  
Main Effects

This study puts particular emphasis on the role of copper ions in the performance of hydrogen peroxide bleaching (P-stage). Owing to their variable levels across the bleaching line due to washing filtrates, bleaching reagents, and equipment corrosion, these ions can play a major role in hydrogen peroxide decomposition and be detrimental to polysaccharide integrity. In this study, a Cu-contaminated D0(EOP)D1 prebleached pulp was subjected to an acidic washing (A-stage) or chelation (Q-stage) before the alkaline P-stage. The objective was to understand the isolated and combined role of copper ions in peroxide bleaching performance. By applying an experimental design, it was possible to identify the main effects of the pretreatment variables on the extent of metals removal and performance of the P-stage. The acid treatment was unsuccessful in terms of complete copper removal, magnesium preservation, and control of hydrogen peroxide consumption in the following P-stage. Increasing reaction temperature and time of the acidic A-stage improved the brightness stability of the D0(EOP)D1AP bleached pulp. The optimum conditions for chelation pretreatment to maximize the brightness gains obtained in the subsequent P-stage with the lowest peroxide consumption were 0.4% diethylenetriaminepentaacetic acid (DTPA), 80ºC, and 4.5 pH.

scholarly journals Controlling Safety of Artificial Intelligence-Based Systems in Healthcare

Symmetry ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 102
Author(s):  
Mohammad Reza Davahli ◽  
Waldemar Karwowski ◽  
Krzysztof Fiok ◽  
Thomas Wan ◽  
Hamid R. Parsaei
Keyword(s):  
Artificial Intelligence ◽  
Rating Scale ◽  
Black Box ◽  
Healthcare Industry ◽  
Emergency Plans ◽  
Controlling System ◽  
Box Models ◽  
Key Dimensions ◽  
Value Model ◽  
And Control

In response to the need to address the safety challenges in the use of artificial intelligence (AI), this research aimed to develop a framework for a safety controlling system (SCS) to address the AI black-box mystery in the healthcare industry. The main objective was to propose safety guidelines for implementing AI black-box models to reduce the risk of potential healthcare-related incidents and accidents. The system was developed by adopting the multi-attribute value model approach (MAVT), which comprises four symmetrical parts: extracting attributes, generating weights for the attributes, developing a rating scale, and finalizing the system. On the basis of the MAVT approach, three layers of attributes were created. The first level contained six key dimensions, the second level included 14 attributes, and the third level comprised 78 attributes. The key first level dimensions of the SCS included safety policies, incentives for clinicians, clinician and patient training, communication and interaction, planning of actions, and control of such actions. The proposed system may provide a basis for detecting AI utilization risks, preventing incidents from occurring, and developing emergency plans for AI-related risks. This approach could also guide and control the implementation of AI systems in the healthcare industry.

scholarly journals The effect of mineral fertilisers and farmyard manure on grain and straw yield, quality and economical parameters of winter wheat

2020 ◽  
Vol 66 (No. 6) ◽  
pp. 249-256
Author(s):  
Lukáš Hlisnikovský ◽  
Milan Vach ◽  
Zdeněk Abrhám ◽  
Ladislav Mensik ◽  
Eva Kunzová
Keyword(s):  
Winter Wheat ◽  
Farmyard Manure ◽  
Market Price ◽  
Economic Benefits ◽  
Quality Parameters ◽  
Control Treatment ◽  
Yield Quality ◽  
Technology And Economy ◽  
And Control ◽  
Technological Methods

In the years 2011–2014, winter wheat grain yield, qualitative and economic parameters were evaluated according to different fertiliser treatments: (1) control: unfertilised treatment; (2) farmyard manure (FYM) and (3) FYM + NPK (farmyard manure applied together with mineral NPK). The highest yields (8.10 t/ha) were recorded in the FYM + NPK treatment, while significantly lower yields (6.20 t/ha and 5.73 t/ha) were recorded in FYM and control treatments, respectively. Similarly, statistically significantly higher values of the quality parameters were found in the FYM + NPK treatment (13.55% of crude protein content and 43.56 mL of Zeleny’s sedimentation test), compared to control (10% and 22.44 mL, respectively). The modelling expert system (AGROTEKIS-Crop Technology and Economy) was used for the evaluation of economy. This software is based on technological methods of cultivation and norms of material input costs and costs of individual mechanised works. The economic benefits and profitability were evaluated for three different levels of grain market price. The highest gross profit per ha was recorded in the FYM + NPK treatment. According to the gross profit, the control treatment provided better results than the FYM treatment.

Learning Environments: A Review of Physical and Temporal Factors

1983 ◽  
Vol 4 (2) ◽  
pp. 90-115 ◽  
Author(s):  
Sydney S. Zentall
Keyword(s):  
Learning Environments ◽  
Environmental Variables ◽  
Information Sources ◽  
Classroom Performance ◽  
Exceptional Children ◽  
Normal Children ◽  
Color Noise ◽  
Environmental Stimulation ◽  
And Performance ◽  
The Impact

A theoretical integration of research concerned with environmental variables and their effects on students’ behavior and performance is presented. The impact of classroom stimuli, such as novelty, color, noise, proximity to teacher and peers on both normal and exceptional children is reviewed. The relation between these sources of classroom stimulation and information sources (i.e., type of task and access to material, person, and role resources) is also discussed. Large deviations from optimal levels of environmental stimulation, which more often occur for exceptional than for normal children, will produce attentional and activity disruptions sufficient to interfere with classroom performance and social interaction.

DESIGN, PREPRODUCTION, AND PERFORMANCE OF THE CDF RUN IIB SILICON DETECTOR

2005 ◽  
Vol 20 (16) ◽  
pp. 3811-3814
Author(s):  
◽  
PAUL LUJAN
Keyword(s):  
Building Block ◽  
Silicon Detector ◽  
Radiation Hardness ◽  
Control Signals ◽  
Lightweight Structure ◽  
And Performance ◽  
Performance Results ◽  
And Control ◽  
Radiation Hard ◽  
Detector Design

A new silicon detector was designed by the CDF collaboration for Run IIb of the Tevatron at Fermilab. The main building block of the new detector is a "supermodule" or "stave", an innovative, compact and lightweight structure of several readout hybrids and sensors with a bus cable running directly underneath the sensors to carry power, data, and control signals to and from the hybrids. The hybrids use a new, radiation-hard readout chip, the SVX4 chip. A number of SVX4 chips, readout hybrids, sensors, and supermodules were produced and tested in preproduction. The performance (including radiation-hardness) and yield of these components met or exceeded all design goals. The detector design goals, solutions, and performance results are presented.

scholarly journals LANGUAGE REORGANIZATION IN APHASICS

Neurosurgery ◽  
2008 ◽  
Vol 63 (3) ◽  
pp. 487-497 ◽  
Author(s):  
Timothy H. Lucas ◽  
Daniel L. Drane ◽  
Carl B. Dodrill ◽  
George A. Ojemann
Keyword(s):  
Brain Injury ◽  
Temporal Lobe ◽  
Intractable Epilepsy ◽  
Cortical Lesions ◽  
Language Mapping ◽  
Neurosurgical Planning ◽  
Anatomic Distribution ◽  
And Performance ◽  
And Control ◽  
Language Profiles

ABSTRACT OBJECTIVE The purpose of this investigation was to determine whether clinical speech deficits after brain injury are associated with functional speech reorganization. METHODS Across an 18-year interval, 11 patients with mild-to-moderate speech deficits underwent language mapping as part of their treatment for intractable epilepsy. These “aphasics” were compared with 14 matched “control” patients with normal speech who also were undergoing epilepsy surgery. Neuroanatomic data were compared with quantitative language profiles and clinical variables. RESULTS Cortical lesions were evident near speech areas in all aphasia cases. As expected, aphasic and control patients were distinguished by quantitative language profiles. The groups were further distinguished by the anatomic distribution of their speech sites. A significantly greater proportion of frontal speech sites was found in patients with previous brain injury, consistent with frontal site recruitment. The degree of frontal recruitment varied as a function of patient age at the time of initial brain injury; earlier injuries were associated with greater recruitment. The overall number of speech sites remained the same after injury. Significant associations were found between the number of the speech sites, naming fluency, and the lesion proximity in the temporal lobe. CONCLUSION Language maps in aphasics demonstrated evidence for age-dependent functional recruitment in the frontal, but not temporal, lobe. The proximity of cortical lesions to temporal speech sites predicted the overall extent of temporal lobe speech representation and performance on naming fluency. These findings have implications for neurosurgical planning in patients with preoperative speech deficits.

Research on MES Domain Analysis Driven by Ontology

2010 ◽  
Vol 20-23 ◽  
pp. 1084-1090 ◽  
Author(s):  
Wen Long
Keyword(s):  
Control System ◽  
Software Development ◽  
Method Development ◽  
Domain Analysis ◽  
Manufacturing Execution System ◽  
Development Method ◽  
And Performance ◽  
And Control ◽  
Plan Management ◽  
Manufacturing Execution

Manufacturing Execution System (MES) links plan management and workshop control in an enterprise, which is an integrative management and control system of workshop production oriented to manufacturing process. To overcome the difficulties of traditional software development method, development of MES based on component is adopted to prompt development efficiency and performance of MES, which can be more reconstructing, reuse, expansion and integration, and MES domain analysis driven by ontology is investigated in detail. MES domain analysis driven by ontology is feasible and efficient through developing a pharmaceutics MES which applied in a pharmaceutics manufacturing factory.

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