Decision Rules for Progress Monitoring in Reading: Accuracy during a Large-Scale Tier II Intervention

2018 ◽  
Vol 33 (4) ◽  
pp. 219-228 ◽  
Author(s):  
David C. Parker ◽  
Ethan Van Norman ◽  
Peter M. Nelson
Keyword(s):  
Large Scale ◽  
Progress Monitoring ◽  
Decision Rules ◽  
Reading Accuracy ◽  
Tier Ii

scholarly journals Social feedback and the emergence of rank in animal society

2015 ◽  
Author(s):  
Elizabeth Hobson ◽  
Simon DeDeo
Keyword(s):  
Feedback Loop ◽  
Large Scale ◽  
Rank Order ◽  
Decision Rules ◽  
Group Level ◽  
Social Feedback ◽  
Dominance Hierarchies ◽  
Myiopsitta Monachus ◽  
Direct Aggression ◽  
Individual Decisions

Dominance hierarchies are group-level properties that emerge from the aggressions of individuals. Although individuals can gain critical benefits from their position in a hierarchy, we do not understand how real-world hierarchies form, or what signals and decision-rules individuals use to construct and maintain them in the absence of simple cues. A study of aggression in two groups of captive monk parakeets (Myiopsitta monachus) found a transition to large-scale ordered aggression occurred in newly-formed groups after one week, with individuals thereafter preferring to direct aggression against those nearby in rank. We describe two mechanisms by which individuals may determine rank order: inference based on overall levels of aggression, or on subsets of the aggression network. Both pathways were predictive of individual decisions to aggress. Based on these results, we present a new theory, of a feedback loop between knowledge of rank and consequent behavior, that explains the transition to strategic aggression, and the formation and persistence of dominance hierarchies in groups capable of both social memory and social inference.

Comparing landscape-based decision rules for placement of fuel treatments in the boreal mixedwood of western Canada

2007 ◽  
Vol 16 (6) ◽  
pp. 664 ◽  
Author(s):  
Marc-André Parisien ◽  
David R. Junor ◽  
Victor G. Kafka
Keyword(s):  
Large Scale ◽  
Decision Rules ◽  
Limited Area ◽  
Western Canada ◽  
Fuel Treatments ◽  
Fuel Treatment ◽  
Landscape Features ◽  
Burn Probability ◽  
Rule Sets ◽  
Rule Based Approach

The present study used a rule-based approach to prioritise locations of fuel treatments in the boreal mixedwood forest of western Canada. The analysis, which was conducted in and around Prince Albert National Park, Saskatchewan, was based on burn probability (BP) mapping using the Burn-P3 (Probability, Prediction, and Planning) model. Fuel treatment locations were determined according to three rule-sets and five fuel treatment intensities. Fuel treatments were located according to BP only; jurisdictional boundaries and BP; and non-flammable landscape features, BP, and fuel treatment orientation. First, a baseline BP map was created from the original (i.e. unmodified) fuels grid. Fuel treatments were then added to the selected areas and BP maps produced for each combination of rule-set and treatment intensity. BP values for the treated landscapes were compared with those of the baseline BP map. Results varied substantially among scenarios. Locating fuel treatments as a function of the jurisdictional boundaries and BP yielded the lowest reduction in BP. Results suggest that clumping fuel treatments within a limited area or using landscape features to maximise the large-scale spatial benefits of the fuel treatments can significantly reduce landscape-level BP. Although these two strategies may produce similar overall reductions in BP, their appropriateness and utility depend on management objectives.

A Knowledge Simplification of a Uncertain System Based on Information Consistency

2011 ◽  
Vol 217-218 ◽  
pp. 1402-1407 ◽  
Author(s):  
Huang Lin Zeng ◽  
Xiao Hui Zeng ◽  
Ling Zhou
Keyword(s):  
Large Scale ◽  
Decision Rules ◽  
Uncertain System ◽  
Basic Algorithm ◽  
System A ◽  
Decision Attributes ◽  
Information Consistency ◽  
Knowledge Representation System ◽  
Concept Of Information

Based on knowledge equivalent classification of an uncertain system, from view of the knowledge coordinating relations and dependence of condition attributes and the decision attributes in an information universe，a new concept of information consistency of a database is presented to simplify knowledge of an uncertain system. A basic algorithm and realization of knowledge simplification on the information consistency of a database is suggested in this paper. It is more legible and convenient for knowledge simplification by way of the information consistency of a database than the idea of knowledge dependence. The feasibility of the proposed approaches of knowledge simplification and reasoning decision rules is validated by some of example of a classic CTR car knowledge representation system with a large-scale database here.

Tier III Basics

2019 ◽  
pp. 445-464
Author(s):  
Renee O. Hawkins ◽  
Tai A. Collins ◽  
Carla Luevano ◽  
Amanda Faler
Keyword(s):  
Response To Intervention ◽  
Behavioral Intervention ◽  
Progress Monitoring ◽  
Effective Intervention ◽  
Monitoring Methods ◽  
Tier Ii ◽  
Intervention Planning ◽  
Distinguishing Features ◽  
Systems Of Support

Within multi-tiered systems of support (MTSS), including Positive Behavioral Intervention and Supports (PBIS) and Response to Intervention (RTI) models, Tier III represents the most intense level of intervention. Interventions at Tier III are highly individualized, with a specific student in mind, and carefully consider the context of behavior, including function, for intervention planning. Given the intense and individualized nature of Tier III interventions, it follows that these efforts are reserved for students with the most significant needs. It estimated that 1%–5% of students require Tier III intervention for behavior. This chapter describes the distinguishing features of Tier III, discusses issues related to the transition from Tier II to Tier III, overviews appropriate assessment and progress-monitoring methods, outlines effective intervention approaches, and provides general guidelines for implementation of Tier III services.

Negotiation and Coordination: A Preliminary Field Study of Conflict Management in Large Scale Collaboration

2005 ◽  
Vol 49 (3) ◽  
pp. 539-543 ◽  
Author(s):  
Yan Xiao ◽  
Cheryl Plasters ◽  
F. Jacob Seagull ◽  
Colin Mackenzie ◽  
Marina Kobayashi ◽  
...  
Keyword(s):  
Field Study ◽  
Large Scale ◽  
Information Dissemination ◽  
Progress Monitoring ◽  
Organizational Structures ◽  
Perceived Fairness ◽  
High Stakes ◽  
Information Barriers ◽  
Resource Limitations ◽  
Barriers To Access

Coordination of activities in many settings can be characterized by management of conflicts, potential and actual, because of resource limitations, high-stakes consequences, uncertainty, goal conflicts among stakeholders and hetero-hierarchical organizational structures. To understand coordination in such systems, we conducted a field study of management of surgical operating rooms. Although coordination efforts were focused on resolution of interdependencies, such as progress monitoring, scheduling and rescheduling, and prodding, coordinators managed a set of complicated conflicts, often through opportunistic means. They were very sensitive to potential conflicts, and used many different means to resolve the conflicts as reported in the literature. Additionally, they were very concerned with perceived fairness. The findings have direct implications to the deployment of information technology as it will change accuracy of information, barriers to access and means of information dissemination.

scholarly journals Building Extraction from Very High Resolution Stereo Satellite Images Using OBIA and Topographic Information

2020 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Minakshi Kumar ◽  
Ashutosh Bhardwaj
Keyword(s):  
High Resolution ◽  
Urban Areas ◽  
Large Scale ◽  
Decision Rules ◽  
Urban Environments ◽  
Fuzzy Rules ◽  
Building Extraction ◽  
Digital Elevation ◽  
Elevation Model ◽  
Very High

The availability of very high resolution (VHR) satellite imagery (<1 m) has opened new vistas in large-scale mapping and information management in urban environments. Buildings are the most essential dynamic incremental factor in the urban environment, and hence their extraction is the most challenging activity. Extracting the urban features, particularly buildings using traditional pixel-based classification approaches as a function of spectral tonal value, produces relatively less accurate results for these VHR Imageries. The present study demonstrates building extraction using Pleiades panchromatic (PAN) and multispectral stereo satellite datasets of highly planned and dense urban areas in parts of Chandigarh, India. The stereo datasets were processed in a photogrammetric environment to obtain the digital elevation model (DEM) and corresponding orthoimages. DEM’s were generated at 0.5 m and 2.0 m from stereo PAN and multispectral datasets, respectively. The orthoimages thus generated were segmented using object-based image analysis (OBIA) tools. The object primitives such as scale parameter, shape, textural parameters, and DEM derivatives were used for segmentation and subsequently to determine threshold values for building fuzzy rules for building extraction and classification. The rule-based classification was carried out with defined decision rules based on object primitives and fuzzy rules. Two different methods were utilized for the performance evaluation of the proposed automatic building approach. Overall accuracy, correctness, and completeness were evaluated for extracted buildings. It was observed that overall accuracy was higher (>93%) in areas having larger buildings and that were sparsely built-up as compared to areas having smaller buildings and being densely built-up.

scholarly journals Uncovering bi-directional causal relationships between plasma proteins and psychiatric disorders: A proteome-wide study and directed network analysis

2019 ◽  
Author(s):  
Carlos Kwan-long Chau ◽  
Alexandria Lau ◽  
Pak-Chung Sham ◽  
Hon-Cheong So
Keyword(s):  
Psychiatric Disorders ◽  
Plasma Proteins ◽  
Large Scale ◽  
Progress Monitoring ◽  
Drug Repositioning ◽  
Directed Network ◽  
Public Health Burden ◽  
Protein Levels ◽  
Complex Relationships ◽  
The Uk

AbstractPsychiatric disorders represent a major public health burden yet their etiologies remain poorly understood, and treatment advances are limited. In addition, there are no reliable biomarkers for diagnosis or progress monitoring.Here we performed a proteome-wide causal association study covering 3522 plasma proteins and 24 psychiatric traits or disorders, based on large-scale GWAS data and the principle of Mendelian randomization (MR). We have conducted ~95,000 MR analyses in total; to our knowledge, this is the most comprehensive study on the causal relationship between plasma proteins and psychiatric traits.The analysis was bi-directional: we studied how proteins may affect psychiatric disorder risks, but also looked into how psychiatric traits/disorders may be causal risk factors for changes in protein levels. We also performed a variety of additional analysis to prioritize protein-disease associations, including HEIDI test for distinguishing functional association from linkage, analysis restricted to cis- acting variants and replications in independent datasets from the UK Biobank. Based on the MR results, we constructed directed networks linking proteins, drugs and different psychiatric traits, hence shedding light on their complex relationships and drug repositioning opportunities. Interestingly, many top proteins were related to inflammation or immune functioning. The full results were also made available online in searchable databases.In conclusion, identifying proteins causal to disease development have important implications on drug discovery or repurposing. Findings from this study may also guide the development of blood-based biomarkers for the prediction or diagnosis of psychiatric disorders, as well as assessment of disease progression or recovery.

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