Do changes in consumers' home buying attitudes predict directional change in home sales?

2013 ◽  
Vol 20 (5) ◽  
pp. 411-415 ◽  
Author(s):  
Hamid Baghestani ◽  
Ilker Kaya ◽  
Samer Kherfi
Keyword(s):  
Home Sales ◽  
Directional Change ◽  
Home Buying

LambdaNet: A Fully Convolutional Architecture for Directional Change Detection

2020 ◽  
Vol 2020 (8) ◽  
pp. 114-1-114-7
Author(s):  
Bryan Blakeslee ◽  
Andreas Savakis
Keyword(s):  
Change Detection ◽  
Satellite Imagery ◽  
Classification Scheme ◽  
Deep Architecture ◽  
Binary Process ◽  
Directional Change ◽  
Class Labels ◽  
Image Pairs

Change detection in image pairs has traditionally been a binary process, reporting either “Change” or “No Change.” In this paper, we present LambdaNet, a novel deep architecture for performing pixel-level directional change detection based on a four class classification scheme. LambdaNet successfully incorporates the notion of “directional change” and identifies differences between two images as “Additive Change” when a new object appears, “Subtractive Change” when an object is removed, “Exchange” when different objects are present in the same location, and “No Change.” To obtain pixel annotated change maps for training, we generated directional change class labels for the Change Detection 2014 dataset. Our tests illustrate that LambdaNet would be suitable for situations where the type of change is unstructured, such as change detection scenarios in satellite imagery.

The Value of Neuroimaging Techniques in the Translation and Transdiagnostic Validation of Psychiatric Diagnoses - Selective Review

2020 ◽  
Vol 20 (7) ◽  
pp. 540-553 ◽  
Author(s):  
Anna Todeva-Radneva ◽  
Rositsa Paunova ◽  
Sevdalina Kandilarova ◽  
Drozdstoy St. Stoyanov
Keyword(s):  
Psychiatric Disorders ◽  
Psychiatric Symptoms ◽  
Medical Science ◽  
Self Report ◽  
Current Status ◽  
Diagnostic Tools ◽  
Main Concept ◽  
Directional Change ◽  
The Mind ◽  
Neuroimaging Techniques

: Psychiatric diagnosis has long been perceived as more of an art than a science since its foundations lie within the observation, and the self-report of the patients themselves and objective diagnostic biomarkers are lacking. Furthermore, the diagnostic tools in use not only stray away from the conventional medical framework but also remain invalidated with evidence-based concepts. However, neuroscience, as a source of valid objective knowledge has initiated the process of a paradigm shift underlined by the main concept of psychiatric disorders being “brain disorders”. It is also a bridge closing the explanatory gap among the different fields of medicine via the translation of the knowledge within a multidisciplinary framework. : The contemporary neuroimaging methods, such as fMRI provide researchers with an entirely new set of tools to reform the current status quo by creating an opportunity to define and validate objective biomarkers that can be translated into clinical practice. Combining multiple neuroimaging techniques with the knowledge of the role of genetic factors, neurochemical imbalance and neuroinflammatory processes in the etiopathophysiology of psychiatric disorders is a step towards a comprehensive biological explanation of psychiatric disorders and a final differentiation of psychiatry as a well-founded medical science. : In addition, the neuroscientific knowledge gained thus far suggests a necessity for directional change to exploring multidisciplinary concepts, such as multiple causality and dimensionality of psychiatric symptoms and disorders. A concomitant viewpoint transition of the notion of validity in psychiatry with a focus on an integrative validatory approach may facilitate the building of a collaborative bridge above the wall existing between the scientific fields analyzing the mind and those studying the brain.

scholarly journals The effect of COVID19 pandemic restrictions on an urban rodent population

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Miguel A. Bedoya-Pérez ◽  
Michael P. Ward ◽  
Max Loomes ◽  
Iain S. McGregor ◽  
Mathew S. Crowther
Keyword(s):  
Binary Data ◽  
Sampling Interval ◽  
Resource Scarcity ◽  
Health Authorities ◽  
Before And After ◽  
Directional Change ◽  
Public Health Authorities ◽  
Bait Stations ◽  
Rodent Populations ◽  
The City

AbstractShortly after the enactment of restrictions aimed at limiting the spread of COVID-19, various local government and public health authorities around the world reported an increased sighting of rats. Such reports have yet to be empirically validated. Here we combined data from multi-catch rodent stations (providing data on rodent captures), rodent bait stations (providing data on rodent activity) and residents’ complaints to explore the effects of a six week lockdown period on rodent populations within the City of Sydney, Australia. The sampling interval encompassed October 2019 to July 2020 with lockdown defined as the interval from April 1st to May 15th, 2020. Rodent captures and activity (visits to bait stations) were stable prior to lockdown. Captures showed a rapid increase and then decline during the lockdown, while rodent visits to bait stations declined throughout this period. There were no changes in the frequency of complaints during lockdown relative to before and after lockdown. There was a non-directional change in the geographical distribution of indices of rodent abundance suggesting that rodents redistributed in response to resource scarcity. We hypothesize that lockdown measures initially resulted in increased rodent captures due to sudden shortage of human-derived food resources. Rodent visits to bait stations might not show this pattern due to the nature of the binary data collected, namely the presence or absence of a visit. Relocation of bait stations driven by pest management goals may also have affected the detection of any directional spatial effect. We conclude that the onset of COVID-19 may have disrupted commensal rodent populations, with possible implications for the future management of these ubiquitous urban indicator species.

Student loan debt and first-time home buying in USA

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Robert H. Scott III ◽  
Steven Bloom
Keyword(s):  
College Graduates ◽  
Student Loans ◽  
Student Loan ◽  
Home Equity ◽  
Student Loan Debt ◽  
Content Type ◽  
Loan Debt ◽  
The Usa ◽  
First Time ◽  
Home Buying

Purpose This paper aims to examine the relationship between student loan debt and first-time home buying among college graduates aged 23 to 40 years old in the USA. Design/methodology/approach The authors use the Federal Reserve’s 2019 Survey of Consumer Finances data on American households to present descriptive statistics and run logistic regressions that measure the effects of student loan debt on first-time home buying. The authors also present original survey data of mortgage lenders that provides an industry-level perspective. Findings The authors find that having student loan debt does not by itself prohibit first-time home buyers. On the contrary, having student loan debt increases the likelihood of homeownership by 15.1%. People with student loan debt, however, buy homes that are 39.2% less expensive and have 58% less home equity compared to first-time home buyers without student loans. In addition, it is found that the amount of student loan debt is important. People with student loan debt above the median amount among people with student loan debt ($35,000) are 27% less likely to be first-time home buyers. Practical implications This paper provides public policy analysts and other researchers a different perspective on the correlation between student loan debt and home buying. This study focuses narrowly on first-time home buyers who are college graduates between 23 and 40 years. Thus, capturing the youngest cohort of first-time home buyers and examine the primary factors that influence their home buying decisions. Originality/value First-time homebuyers are historically the largest segment of home buyers making them an important subcategory to study. The rise in student loan debt is posited to explain declining homeownership among younger people. The current literature on student loan debt and home buying often studies samples that are too heterogeneous resulting in mixed findings. This paper adds to the existing literature by filtering the sample to study the effects of student loan debt and first-time home buying among people with at least a college degree who are between 23 and 40 years.

scholarly journals On degrammaticalization: Controversial points and possible explanations

2015 ◽  
Vol 49 (2) ◽  
Author(s):  
Carlotta Viti
Keyword(s):  
The Other ◽  
Parts Of Speech ◽  
Closed Class ◽  
Semantic Component ◽  
Directional Change ◽  
Theoretical Conception

AbstractThis paper discusses the problem of degrammaticalization, that is, the exceptions to the unidirectionality of grammaticalization. After analyzing the criteria that allow us to distinguish between various instances of counter-directional change, two principles underlying degrammaticalization are identified; one is related to the type of language and the other to the type of target structures in which degrammaticalization occurs. Firstly, the targets of degrammaticalization are usually closed-class parts of speech with an abstract semantic component. Secondly, the languages in which counter-directional grammatical changes occur turn out to be deprived of an elaborate fusional morphology. These findings may also have an impact on the theoretical conception of grammaticalization, some of whose definitional properties are discussed. The paper ends with a discussion of a more controversial point, namely, counter-directional changes by folk etymology rather than by etymology proper.

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