scholarly journals Global Representation of the Conditional LATE Model: A Separability Result*

2021 ◽  
Author(s):  
Yu‐Chang Chen ◽  
Haitian Xie
Keyword(s):  
Late Model ◽  
Global Representation

IMPACT ASSESSMENT OF AGRICULTURAL TRANSFORMATION PROJECT ON PRODUCTIVITY AND POVERTY AMONG RICE FARMERS IN KANO STATE, NIGERIA.

2020 ◽  
Vol 4 (2) ◽  
pp. 392-400
Author(s):  
O. S. Balogun ◽  
M. A. Damisa ◽  
O. Yusuf ◽  
O. L. Balogun
Keyword(s):  
Sampling Method ◽  
Insect Pests ◽  
Study Data ◽  
Average Treatment Effect ◽  
Descriptive Statistics ◽  
Rice Farmers ◽  
Agricultural Transformation ◽  
Multi Stage ◽  
Significant Difference ◽  
Late Model

The study was carried out to examine the effect of agricultural transformation on the beneficiary’s productivity and poverty of rice farmers in Kano State Nigeria. A multi-stage sampling method was employed to select 571 respondents for the study. Data were collected through structured questionnaires on respondent’s income, input and output quantities as well as their expenditures. Data were analysis using descriptive statistics, Foster-Greer-Thorbecke (FGT), Propensity score matching and LATE model. Results from the study shows that respondents productivity revealed a significant difference of about 127 kg/ha in rice productivity between participants and non-participants. Also, the LATE estimates revealed an average treatment effect ATE0 of about 222.98kg/ha. Furthermore, the project had a significant effect N11, 321.4 on the participant’s consumption expenditure than the non-participants N9980.60. Moreover, participants were, able to increase their household total expenditures by N34780 per annum. Fluctuations of input/output prices insect pests and inadequate extension visits were all the major constraints faced by the farmers. It was recommended that farmers’ information and sensitization system should be overhauled and improved. Also, attention should be given to well organize extension visits for the farmers from stake holders

Carburetor Icing Tendencies of Late Model Cars

1969 ◽  
Author(s):  
Hugh R. Jackson ◽  
O. W. Wallin
Keyword(s):  
Late Model ◽  
Carburetor Icing

scholarly journals Memory-Augmented Transformer for Remote Sensing Image Semantic Segmentation

2021 ◽  
Vol 13 (22) ◽  
pp. 4518
Author(s):  
Xin Zhao ◽  
Jiayi Guo ◽  
Yueting Zhang ◽  
Yirong Wu
Keyword(s):  
Remote Sensing ◽  
Feature Extraction ◽  
Semantic Segmentation ◽  
Local Features ◽  
Local Feature ◽  
Global Information ◽  
Deep Convolutional Neural Networks ◽  
Global Representation ◽  
Local Feature Extraction ◽  
Global And Local

The semantic segmentation of remote sensing images requires distinguishing local regions of different classes and exploiting a uniform global representation of the same-class instances. Such requirements make it necessary for the segmentation methods to extract discriminative local features between different classes and to explore representative features for all instances of a given class. While common deep convolutional neural networks (DCNNs) can effectively focus on local features, they are limited by their receptive field to obtain consistent global information. In this paper, we propose a memory-augmented transformer (MAT) to effectively model both the local and global information. The feature extraction pipeline of the MAT is split into a memory-based global relationship guidance module and a local feature extraction module. The local feature extraction module mainly consists of a transformer, which is used to extract features from the input images. The global relationship guidance module maintains a memory bank for the consistent encoding of the global information. Global guidance is performed by memory interaction. Bidirectional information flow between the global and local branches is conducted by a memory-query module, as well as a memory-update module, respectively. Experiment results on the ISPRS Potsdam and ISPRS Vaihingen datasets demonstrated that our method can perform competitively with state-of-the-art methods.

scholarly journals Cortical Representations of Speech in a Multi-talker Auditory Scene

2017 ◽  
Author(s):  
Krishna C. Puvvada ◽  
Jonathan Z. Simon
Keyword(s):  
Auditory Cortex ◽  
Human Subjects ◽  
Higher Order ◽  
Neural Representation ◽  
Cortical Areas ◽  
Auditory Scene ◽  
Global Representation ◽  
Stimulus Reconstruction ◽  
Background Object ◽  
Cortical Representations

AbstractThe ability to parse a complex auditory scene into perceptual objects is facilitated by a hierarchical auditory system. Successive stages in the hierarchy transform an auditory scene of multiple overlapping sources, from peripheral tonotopically-based representations in the auditory nerve, into perceptually distinct auditory-objects based representation in auditory cortex. Here, using magnetoencephalography (MEG) recordings from human subjects, both men and women, we investigate how a complex acoustic scene consisting of multiple speech sources is represented in distinct hierarchical stages of auditory cortex. Using systems-theoretic methods of stimulus reconstruction, we show that the primary-like areas in auditory cortex contain dominantly spectro-temporal based representations of the entire auditory scene. Here, both attended and ignored speech streams are represented with almost equal fidelity, and a global representation of the full auditory scene with all its streams is a better candidate neural representation than that of individual streams being represented separately. In contrast, we also show that higher order auditory cortical areas represent the attended stream separately, and with significantly higher fidelity, than unattended streams. Furthermore, the unattended background streams are more faithfully represented as a single unsegregated background object rather than as separated objects. Taken together, these findings demonstrate the progression of the representations and processing of a complex acoustic scene up through the hierarchy of human auditory cortex.Significance StatementUsing magnetoencephalography (MEG) recordings from human listeners in a simulated cocktail party environment, we investigate how a complex acoustic scene consisting of multiple speech sources is represented in separate hierarchical stages of auditory cortex. We show that the primary-like areas in auditory cortex use a dominantly spectro-temporal based representation of the entire auditory scene, with both attended and ignored speech streams represented with almost equal fidelity. In contrast, we show that higher order auditory cortical areas represent an attended speech stream separately from, and with significantly higher fidelity than, unattended speech streams. Furthermore, the unattended background streams are represented as a single undivided background object rather than as distinct background objects.

DVD Region Codes

Locked Out ◽  
2019 ◽  
pp. 23-46
Author(s):  
Evan Elkins
Keyword(s):  
Market Segmentation ◽  
Consumer Electronics ◽  
Traditional Market ◽  
Global Representation ◽  
Software And Hardware ◽  
Cultural Hierarchies

Chapter 1 explores regional lockout’s assemblage of technology, distribution, regulation, and culture through the DVD region code. In order to preserve traditional market segmentation practices, Hollywood convinced consumer electronics manufacturers to develop a DRM system wherein DVDs and DVD players are assigned a numerical “region code” based on their respective geographic territories. The codes in the software and hardware must match before the DVD will play. Chapter 1 details the DVD region code’s history, showing how the system was put in place and governed through complex negotiations and alignments among content creators, electronics manufacturers, and governing bodies. The chapter argues that the system is not only a hard-nosed form of technological and distributional control but also a system of symbolic global representation that clusters certain territories together and ranks those clusters within economic and cultural hierarchies.

Local History and Its Global Representation

2018 ◽  
pp. 86-98
Author(s):  
Riva Kastoryano
Keyword(s):  
Turning Point ◽  
World History ◽  
Local History ◽  
First Century ◽  
Transnational Networks ◽  
National Memory ◽  
Local Space ◽  
Global Representation ◽  
Twenty First Century

9/11 is clearly a turning point in world history, the event that marked the start of the twenty-first century. It posed a challenge to the territorial grounding of classic warfare and sounded the alarm as to the scope and range of transnational networks in this war. 2 Its effects are obvious not only in the transformation of space – the towers are gone from the horizon at the southern tip of Manhattan –, but also in movements to etch it onto the national memory. The goal is to enshrine the event in the local space and ensure its global representation.

scholarly journals Online scrutiny of people with nice cars: A comparative analysis of Chinese, Russian, and Anglo-American outrage

2020 ◽  
Vol 5 (3) ◽  
pp. 247-260
Author(s):  
Qian Huang ◽  
Rashid Gabdulhakov ◽  
Daniel Trottier
Keyword(s):  
United States ◽  
Social Media ◽  
United Kingdom ◽  
Comparative Analysis ◽  
Contrasting Cases ◽  
Sina Weibo ◽  
Late Model ◽  
Anglo American ◽  
Media Discourses ◽  
Chinese Social Media

Connected by platforms and equipped with mobile recording devices, social media users are able to conduct near-constant mutual scrutiny. Such mediated scrutiny sometimes escalates to public denunciations online and even mediated or embodied interventions. A recurring theme of such scrutiny can be observed not only on Chinese social media but also on platforms in Russia and elsewhere, in which hostility is openly expressed towards people with nice cars (i.e. late model, luxury, foreign vehicles). In these cases, nice cars are not merely a fact provided by participants in their denunciations; they also serve as an implication of the privileges the owners might possess. By juxtaposing cases in China against other socio-political contexts, the research intends to achieve a better understanding of how and why nice cars are rendered meaningful by participants via mediated scrutiny on social media in China and beyond. The research collects and analyses relevant social media discourses on platforms including Sina Weibo (China), YouTube (Russia), and Facebook (United Kingdom; Australia; United States). Comparing and contrasting cases in different countries, the research demonstrates various forms of critical and populist sentiments that are shaped by unique socio-cultural and political contexts.

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