scholarly journals A Financial Training Program for USDA/FSA Borrowers: Evolution and Impacts

2000 ◽  
Vol 29 (2) ◽  
pp. 240-250 ◽  
Author(s):  
Robert L. Parsons ◽  
Gregory D. Hanson ◽  
Wesley N. Musser ◽  
Roland Freund ◽  
Lehan Power
Keyword(s):  
Cluster Analysis ◽  
Training Program ◽  
Impact Analysis ◽  
Cooperative Extension ◽  
Financial Training ◽  
Net Worth ◽  
Educational Benefit ◽  
User Friendly ◽  
Extension Program ◽  
Over Time

A financial training program designed by Cooperative Extension specialists was provided to over 2,000 USDA/FSA borrowers from the Northeast during the period 1994–1999. Key to the success of the workshops was an in-depth, user-friendly curriculum that evolved over time, eventually replacing satellite-feed instruction with pre-taped videos. Cluster analysis classified nearly 70% of workshop participants as “Low Finance Priority” or “Low Finance Knowledge.” Farmers in these clusters received a relatively greater educational benefit from the program than those not in these clusters. Impact analysis indicated that perceived annual gain in farm net worth from application of workshop tools ranged from approximately $5,000 to $10,000. The training addressed the needs of producers typically isolated from Cooperative Extension because the workshop was the only extension program attended that year by nearly two-thirds of them.

scholarly journals Visual4DTracker: a tool to interact with 3D + t image stacks

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ermanno Cordelli ◽  
Paolo Soda ◽  
Giulio Iannello
Keyword(s):  
Synthetic Data ◽  
Time Lapse ◽  
Temporal Data ◽  
Image Stack ◽  
Biological Phenomena ◽  
Insulin Granules ◽  
Matlab Package ◽  
User Friendly ◽  
Drosophila Cells ◽  
Over Time

Abstract Background Biological phenomena usually evolves over time and recent advances in high-throughput microscopy have made possible to collect multiple 3D images over time, generating $$3D+t$$ 3 D + t (or 4D) datasets. To extract useful information there is the need to extract spatial and temporal data on the particles that are in the images, but particle tracking and feature extraction need some kind of assistance. Results This manuscript introduces our new freely downloadable toolbox, the Visual4DTracker. It is a MATLAB package implementing several useful functionalities to navigate, analyse and proof-read the track of each particle detected in any $$3D+t$$ 3 D + t stack. Furthermore, it allows users to proof-read and to evaluate the traces with respect to a given gold standard. The Visual4DTracker toolbox permits the users to visualize and save all the generated results through a user-friendly graphical user interface. This tool has been successfully used in three applicative examples. The first processes synthetic data to show all the software functionalities. The second shows how to process a 4D image stack showing the time-lapse growth of Drosophila cells in an embryo. The third example presents the quantitative analysis of insulin granules in living beta-cells, showing that such particles have two main dynamics that coexist inside the cells. Conclusions Visual4DTracker is a software package for MATLAB to visualize, handle and manually track $$3D+t$$ 3 D + t stacks of microscopy images containing objects such cells, granules, etc.. With its unique set of functions, it remarkably permits the user to analyze and proof-read 4D data in a friendly 3D fashion. The tool is freely available at https://drive.google.com/drive/folders/19AEn0TqP-2B8Z10kOavEAopTUxsKUV73?usp=sharing

Long-Run Effects in Dynamic Systems: New Tools for Cross-Lagged Panel Models

2021 ◽  
pp. 109442812199322
Author(s):  
Ali Shamsollahi ◽  
Michael J. Zyphur ◽  
Ozlem Ozkok
Keyword(s):  
Recent Work ◽  
Dynamic Systems ◽  
Quantitative Methods ◽  
Simulated Dataset ◽  
Impulse Responses ◽  
Panel Models ◽  
Long Run ◽  
Short Run ◽  
User Friendly ◽  
Over Time

Cross-lagged panel models (CLPMs) are common, but their applications often focus on “short-run” effects among temporally proximal observations. This addresses questions about how dynamic systems may immediately respond to interventions, but fails to show how systems evolve over longer timeframes. We explore three types of “long-run” effects in dynamic systems that extend recent work on “impulse responses,” which reflect potential long-run effects of one-time interventions. Going beyond these, we first treat evaluations of system (in)stability by testing for “permanent effects,” which are important because in unstable systems even a one-time intervention may have enduring effects. Second, we explore classic econometric long-run effects that show how dynamic systems may respond to interventions that are sustained over time. Third, we treat “accumulated responses” to model how systems may respond to repeated interventions over time. We illustrate tests of each long-run effect in a simulated dataset and we provide all materials online including user-friendly R code that automates estimating, testing, reporting, and plotting all effects (see https://doi.org/10.26188/13506861 ). We conclude by emphasizing the value of aligning specific longitudinal hypotheses with quantitative methods.

Differential Aging: An Exploratory Approach Using Cluster Analysis

1984 ◽  
Vol 18 (2) ◽  
pp. 141-157 ◽  
Author(s):  
Graeme Ford ◽  
Rex Taylor
Keyword(s):  
Cluster Analysis ◽  
Longitudinal Data ◽  
Random Sample ◽  
Successful Aging ◽  
Elderly Population ◽  
Structural Data ◽  
Exploratory Approach ◽  
Aging Well ◽  
Well Elderly ◽  
Over Time

This article uses cluster analysis to identify different patterns of personal resources within a random sample of the well, elderly population. Ten such patterns or natural groupings are identified and their implications for coping and successful aging are discussed. It is apparent that there are a number of ways both of aging well and aging badly, and that these patterns cannot be predicted solely on the basis of structural data. The article poses a number of questions on the performance of cluster members over time and draws attention to the importance of longitudinal data.

User-friendly tool kits for protein gel electrophoresis techniques: A training program for high school students

2018 ◽  
Vol 46 (5) ◽  
pp. 566-577 ◽  
Author(s):  
Praveen Maurye ◽  
Arpita Basu ◽  
Sohini Sen ◽  
Jayanta Kumar Biswas ◽  
Tapas Kumar Bandyopadhyay ◽  
...  
Keyword(s):  
High School ◽  
High School Students ◽  
Training Program ◽  
Gel Electrophoresis ◽  
School Students ◽  
Protein Gel ◽  
User Friendly

scholarly journals Let Your Lawn Tell You When To Water

EDIS ◽  
1969 ◽  
Vol 2004 (4) ◽  
Author(s):  
Laurie E. Trenholm ◽  
Joseph Bryan Unruh
Keyword(s):  
Drought Tolerance ◽  
Root System ◽  
Cooperative Extension ◽  
Cooperative Extension Service ◽  
Extension Service ◽  
Insect Infestation ◽  
University Of Florida ◽  
Agricultural Sciences ◽  
Over Time

Most homeowners over-water their lawns, which may damage or kill the lawn over time. Excess irrigation is one of the major causes of lawn demise and may include problems such as a shallow root system; increased disease, weed, or insect infestation; reduced drought tolerance; increased thatch and excessive growth; and reduced tolerance to other stresses such as shade and soil problems. To avoid over-watering, look for signs that the lawn needs water. This document is ENH63, one of a series of the Department of Environmental Horticulture, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Dates reviewed: March 2000; September 2003. https://edis.ifas.ufl.edu/ep054

An Air Force Pilot Training Recommendation System Using Advanced Analytical Methods

2021 ◽  
Author(s):  
Nicolas C. Forrest ◽  
Raymond R. Hill ◽  
Phillip R. Jenkins
Keyword(s):  
Deep Learning ◽  
Training Program ◽  
Air Force ◽  
Analytical Methods ◽  
Recommendation System ◽  
Training Programs ◽  
Pilot Training ◽  
Over Time

The planning of individualized pilot training programs is an intensive process. Over 120 maneuvers are introduced into the training program over time while ensuring maneuver competencies. This work introduces a novel, deep-learning based approach for automatically generating training plans for pilot trainees to significantly reduce instructor pilot planning requirements.

scholarly journals Heterogeneity and Persistence in Returns to Wealth

Econometrica ◽  
2020 ◽  
Vol 88 (1) ◽  
pp. 115-170 ◽  
Author(s):  
Andreas Fagereng ◽  
Luigi Guiso ◽  
Davide Malacrino ◽  
Luigi Pistaferri
Keyword(s):  
Population Data ◽  
Wealth Inequality ◽  
Risk Exposure ◽  
Systematic Analysis ◽  
Risky Assets ◽  
Net Worth ◽  
Percentage Points ◽  
Tax Returns ◽  
Asset Classes ◽  
Over Time

We provide a systematic analysis of the properties of individual returns to wealth using 12 years of population data from Norway's administrative tax records. We document a number of novel results. First, individuals earn markedly different average returns on their net worth (a standard deviation of 22.1%) and on its components. Second, heterogeneity in returns does not arise merely from differences in the allocation of wealth between safe and risky assets: returns are heterogeneous even within narrow asset classes. Third, returns are positively correlated with wealth: moving from the 10th to the 90th percentile of the net worth distribution increases the return by 18 percentage points (and 10 percentage points if looking at net‐of‐tax returns). Fourth, individual wealth returns exhibit substantial persistence over time. We argue that while this persistence partly arises from stable differences in risk exposure and assets scale, it also reflects heterogeneity in sophistication and financial information, as well as entrepreneurial talent. Finally, wealth returns are correlated across generations. We discuss the implications of these findings for several strands of the wealth inequality debate.

scholarly journals PEER FEEDBACK OVER TIME

2018 ◽  
Author(s):  
Julia N. Smith ◽  
Thomas A. O’Neill
Keyword(s):  
Engineering Education ◽  
Undergraduate Students ◽  
Engineering Students ◽  
Skill Development ◽  
Peer Feedback ◽  
Critical Component ◽  
Soft Skill ◽  
Teamwork Skills ◽  
User Friendly ◽  
Over Time

Abstract –Given the ubiquity of teamwork in engineering education and industry1, developing teamwork skills in undergraduate students is a critical component of their training. This is supported by the inclusion of ‘individual and teamwork’ as a graduate attribute by the Canadian Engineering Accreditation Board2. The current work explores the development of teamwork skills through the use of multiple administrations of peer feedback, in order to explore the value of using several administrations and support past findings that have suggested increased administrations provide incremental improvements. Additionally, the paper discusses the use of an empirically validated and user-friendly tool used to deliver the peer feedback assessments. The results suggest that students find the tool easy to use and that they believed the feedback they received and gave was accurate and useful. Together, these results suggest that peer feedback, delivered using the ITPMetrics.com platform, is an effective and well-received method of fostering soft-skill development in engineering students.  

scholarly journals Towards Digital Sustainability: Profiles of Millennial Reviewers, Reputation Scores and Intrinsic Motivation Matter

2021 ◽  
Vol 13 (6) ◽  
pp. 3297
Author(s):  
Alejandro García-Jurado ◽  
José Javier Pérez-Barea ◽  
Francisco Fernández-Navarro
Keyword(s):  
Cluster Analysis ◽  
Intrinsic Motivation ◽  
Decision Trees ◽  
Classification Accuracy ◽  
Survey Method ◽  
Purchase Decisions ◽  
Self Perception ◽  
Social Relatedness ◽  
Intrinsic Motivations ◽  
Over Time

Profiles of millennial reviewers and gamification can contribute to digital sustainability as a driver of innovation and growth. The study aims to detect if there are profiles of reviewers that can be grouped together, in order to apply a specific gamification to them and to make it sustainable over time. In this way, more information will be generated through the reviews that will help responsible consumers to choose better in their purchase decisions. The objective of this study is twofold. First, it aims to characterize online product reviewers based on their intrinsic motivations and self-perception when they comment, identifying their main motivations. Second, it aims to classify these individuals based on the acceptance of gamification elements while commenting on and relating them to the intrinsic attributes that determine their behaviors. A survey method design was used to capture responses from 187 millennial reviewers of Amazon in Spain. The relationships between motivations and the types of reviewer were extracted from the accommodation of the dataset using decision trees (DTs), specifically, the J48 algorithm. To contribute to the second objective, this paper elaborates a typology of reviewer analysis based on cluster analysis and DTs. It is confirmed that online product reviewers can be characterized based on their intrinsic motivations, which are mainly egoistic motives, competence and social relatedness. The obtained results show that the J48 DT provides excellent classification accuracy of approximately 95% in identifying reviewers based on intrinsic motivations. Similarly, egoistic intrinsic motives are decisive in focusing gamification strategies.

Cooperative Extension and Practicing Anthropology: A Natural Fit

2019 ◽  
Vol 41 (2) ◽  
pp. 47-51
Author(s):  
Jacqueline Comito ◽  
Brandy Case Haub
Keyword(s):  
Cooperative Extension ◽  
State University ◽  
Extension Programs ◽  
Iowa State University ◽  
Outreach Programs ◽  
Program Objective ◽  
Anthropological Research ◽  
Extension Program ◽  
Real World Problems

Abstract The Cooperative Extension System's mission to “put scientific knowledge into practice” is a natural fit for practicing anthropologists. Two extension anthropologists present their work with the Iowa State University Extension and Outreach programs, Iowa Learning Farms and Water Rocks!, as a case study for how anthropological practice can be used to develop and implement successful extension programs. Added to the conversation is the element of advocacy in anthropological practice, with an examination of how using anthropological research and evaluation methods to understand targeted program audience perspectives better enables practitioners to advocate for environmental improvements and better meet the primary extension program objective of bringing practical, science-based solutions to real world problems.

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