scholarly journals Thought-Forms Gone Rogue: A Theory for Psi-Critics and Parapsychologists

2021 ◽  
Vol 35 (1) ◽  
pp. 91-128
Author(s):  
Adrian Parker
Keyword(s):  
Real Time ◽  
Theoretical Framework ◽  
Altered States ◽  
Causal Relationships ◽  
Theoretical Understanding ◽  
Cause And Effect ◽  
Automatic Writing ◽  
Dream Characters ◽  
Psi Phenomena ◽  
The Many

It is argued that psi-critics Reber and Alcock have lifted the debate from the impasse concerning the evidence for the existence of psi phenomena, toward focusing on understanding the nature of the phenomena. This focus concerns the demand to show that statistical findings are not anomalies but reflect real cause and effect relationships and to find a common theoretical framework for what otherwise appear to be heterogeneous rogue phenomena. It is maintained here that the demand for showing causal relationships is already met by a methodology using real-time recordings of changing target imagery along with receiver mentation. The demand by critics for a theoretical understanding linking all or most of the rogue phenomena, led to the proposition advanced here concerning thought-forms and co-conscious states. According to this, the many “rogue phenomena” both in psychology and parapsychology (such as automatic writing, lucid dream characters, spirit possessions, and entity experiences in psychedelic states) are to be understood as representing dissociated thought-forms with varying degrees of co-consciousness and in some cases the development of a genuine degree of autonomy and identity. Keywords: altered states, thought-forms, consciousness, psi, skepticism, automatic writing, co-consciousness, possession

Natural Experiments in Business Research Methods

2021 ◽  
Author(s):  
Michael C. Withers ◽  
Chi Hon Li
Keyword(s):  
Study Design ◽  
Methodological Approach ◽  
Secondary Data ◽  
Control Group ◽  
Causal Relationships ◽  
Random Assignment ◽  
Natural Experiments ◽  
Theoretical Understanding ◽  
Research Questions ◽  
Viable Approach

Causal identification is an important consideration for organizational researchers as they attempt to develop a theoretical understanding of the causes and effects of organizational phenomena. Without valid causal identification, insights regarding organizational phenomena are challenging given their inherent complexity. In other words, organizational research will be limited in its scientific progression. Randomized controlled experiments are often suggested to provide the ideal study design necessary to address potential confounding effects and isolate true causal relationships. Nevertheless, only a few research questions lend themselves to this study design. In particular, the full randomization of subjects in the treatment and control group may not be possible due to the empirical constraints. Within the strategic management area, for example, scholars often use secondary data to examine research questions related to competitive advantage and firm performance. Natural experiments are increasingly recognized as a viable approach to identify causal relationships without true random assignment. Natural experiments leverage external sources of variation to isolate causal effects and avoid potentially confounding influences that often arise in observational data. Natural experiments require two key assumptions—the as-if random assignment assumption and the stable unit treatment value assumption. When these assumptions are met, natural experiments can be an important methodological approach for advancing causal understanding of organizational phenomena.

The Probabilistic Innovation Field of Scientific Enquiry

2017 ◽  
Vol 9 (2) ◽  
pp. 56-72 ◽  
Author(s):  
Chris William Callaghan
Keyword(s):  
Real Time ◽  
Citizen Science ◽  
Theoretical Framework ◽  
Innovation Theory ◽  
Theoretical Frameworks ◽  
Academic Fields

This paper outlines a developing stream of literature related to a theoretical framework, namely probabilistic innovation, relating it to certain literature critiquing developing academic fields and offering criteria against which a developing field can be held to be scientific or not. With ontological and epistemological roots in citizen science, participant-research and other emerging academic movements, probabilistic innovation theory is underpinned by a shift toward the democratisation of knowledge, increasing inclusivity and transparency in its processes, and a novel methodology drawing from methods such as expert crowdsourcing, crowdfunding, swarm solving and maximisation of efficiencies related to collaborations in research. With the enablement of real time research capability, or ability to solve serious scientific problems in hours and days instead of years and decades as its primary raison d'être, probabilistic innovation seeks to maximise probability of scientific breakthroughs. However, for this stream of literature to develop, it is important to proactively identify academic or scientific pitfalls facing developing areas of enquiry, and this paper attempts to offer this, deriving propositions potentially useful for developing fields in general. It is hoped real time research capability will one day become a reality, and to increase the likelihood of this, theoretical frameworks seeking this end need to face useful critique to ensure their robust development, and this paper proposed four core tensions such fields need to manage in order to successfully evolve.

scholarly journals From embracing to managing risks

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e022921 ◽  
Author(s):  
Justin Keen ◽  
Emma Nicklin ◽  
Nyantara Wickramasekera ◽  
Andrew Long ◽  
Rebecca Randell ◽  
...  
Keyword(s):  
Real Time ◽  
Middle Managers ◽  
Safety Information ◽  
Active Management ◽  
Management Systems ◽  
Quality Of Data ◽  
Fine Grained ◽  
Information Infrastructures ◽  
The Many ◽  
Board Level

ObjectiveTo assess developments over time in the capture, curation and use of quality and safety information in managing hospital services.SettingFour acute National Health Service hospitals in England.Participants111.5 hours of observation of hospital board and directorate meetings, and 72 hours of ward observations. 86 interviews with board level and middle managers and with ward managers and staff.ResultsThere were substantial improvements in the quantity and quality of data produced for boards and middle managers between 2013 and 2016, starting from a low base. All four hospitals deployed data warehouses, repositories where datasets from otherwise disparate departmental systems could be managed. Three of them deployed real-time ward management systems, which were used extensively by nurses and other staff.ConclusionsThe findings, particularly relating to the deployment of real-time ward management systems, are a corrective to the many negative accounts of information technology implementations. The hospital information infrastructures were elements in a wider move, away from a reliance on individual professionals exercising judgements and towards team-based and data-driven approaches to the active management of risks. They were not, though, using their fine-grained data to develop ultrasafe working practices.

scholarly journals The First Quarter of SARS-CoV-2 Testing: the University of Washington Medicine Experience

2020 ◽  
Vol 58 (8) ◽  
Author(s):  
Alexander L. Greninger ◽  
Keith R. Jerome
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Real Time ◽  
Real Time Pcr ◽  
Medical Center ◽  
Rt Pcr ◽  
University Of Washington ◽  
Clinical Laboratories ◽  
To Come ◽  
The Many ◽  
The University

ABSTRACT In early March 2020, the University of Washington Medical Center clinical virology laboratory became one of the first clinical laboratories to offer testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). When we first began test development in mid-January, neither of us believed there would be more than 2 million confirmed SARS-CoV-2 infections nationwide or that we would have performed more than 150,000 real-time PCR (RT-PCR) tests, with many more to come. This article will be a chronological summary of how we rapidly validated tests for SARS-CoV-2, increased our testing capacity, and addressed the many problems that came up along the way.

scholarly journals The Real-Time Mobile Application for Classifying of Endangered Parrot Species Using the CNN Models Based on Transfer Learning

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Daegyu Choe ◽  
Eunjeong Choi ◽  
Dong Keun Kim
Keyword(s):  
Real Time ◽  
Transfer Learning ◽  
Mobile Device ◽  
Mobile Application ◽  
Feature Recognition ◽  
Species Recognition ◽  
Color Similarity ◽  
Parrot Species ◽  
The Many ◽  
Google Search

Among the many deep learning methods, the convolutional neural network (CNN) model has an excellent performance in image recognition. Research on identifying and classifying image datasets using CNN is ongoing. Animal species recognition and classification with CNN is expected to be helpful for various applications. However, sophisticated feature recognition is essential to classify quasi-species with similar features, such as the quasi-species of parrots that have a high color similarity. The purpose of this study is to develop a vision-based mobile application to classify endangered parrot species using an advanced CNN model based on transfer learning (some parrots have quite similar colors and shapes). We acquired the images in two ways: collecting them directly from the Seoul Grand Park Zoo and crawling them using the Google search. Subsequently, we have built advanced CNN models with transfer learning and trained them using the data. Next, we converted one of the fully trained models into a file for execution on mobile devices and created the Android package files. The accuracy was measured for each of the eight CNN models. The overall accuracy for the camera of the mobile device was 94.125%. For certain species, the accuracy of recognition was 100%, with the required time of only 455 ms. Our approach helps to recognize the species in real time using the camera of the mobile device. Applications will be helpful for the prevention of smuggling of endangered species in the customs clearance area.

scholarly journals The 2018 summer heatwaves over northwestern Europe and its extended-range prediction

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Mien-Tze Kueh ◽  
Chuan-Yao Lin
Keyword(s):  
North Atlantic Oscillation ◽  
Real Time ◽  
North Atlantic ◽  
Western Europe ◽  
Major Contributor ◽  
Causal Relationships ◽  
Model Ensemble ◽  
Extended Range ◽  
Azores High

Abstract This study investigated the drivers and extended-range prediction of the mid-July to early August 2018 heatwaves over northwestern Europe, focusing on regional heatwave events over Scandinavia (SC) and Western Europe (WE). The persistent blocking regime (BL) was the most influential contributor for the 2018 heatwave over SC, and both the Atlantic Low regime (AL) and North Atlantic Oscillation (NAO) were secondary contributors for the heatwave, but with different effect directions. The major contributor to the heatwave over WE was AL. These causal relationships remained valid when the evolution of warm spells was considered. A multi-model ensemble of real-time forecasts from the subseasonal to seasonal (S2S) database captured the evolution of the warm spells over SC and WE up to 3 weeks in advance. However, the predictions of heatwave occurrence and significance for the two regions are unsatisfactory. BL and AL can be predicted 2 weeks in advance, resulting in the successful predictions of warm spells over SC and WE. Although variations in Azores High and NAO were captured in the forecasts, their contribution to the warm spells remains unclear.

scholarly journals Cascading, Colliding, and Mediating: How Teacher Preparation and K-12 Education Contexts Influence Mentor Teachers’ Work

2019 ◽  
Vol 71 (1) ◽  
pp. 108-121 ◽  
Author(s):  
Rachel Roegman ◽  
Joni Kolman
Keyword(s):  
Teacher Preparation ◽  
Teacher Candidates ◽  
Theoretical Framework ◽  
Mentor Teachers ◽  
Teacher Preparation Programs ◽  
Preparation Programs ◽  
Multiple Contexts ◽  
The Many ◽  
K 12

In this conceptual article, we present a theoretical framework designed to illustrate the many contexts and factors that interact and shape the work of mentor teachers. Drawing on the literature on K-12 teaching and on teacher preparation, we argue for greater acknowledgment of the complex work of mentor teachers as they navigate multiple contexts. We conclude by considering how this framework helps us to better understand the work of mentor teachers and by offering suggestions for teacher preparation programs and K-12 schools to better support mentor teachers and best prepare teacher candidates.

scholarly journals Studies of Olfactory System Neural Plasticity: The Contribution of the Unilateral Naris Occlusion Technique

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
David M. Coppola
Keyword(s):  
Neural Plasticity ◽  
Empirical Data ◽  
Olfactory System ◽  
Theoretical Framework ◽  
Olfactory Pathway ◽  
Compensatory Responses ◽  
Occlusion Technique ◽  
Olfactory Plasticity ◽  
The Many

Unilateral naris occlusion has long been the method of choice for effecting stimulus deprivation in studies of olfactory plasticity. A significant body of literature speaks to the myriad consequences of this manipulation on the ipsilateral olfactory pathway. Early experiments emphasized naris occlusion’s deleterious and age-critical effects. More recent studies have focused on life-long vulnerability, particularly on neurogenesis, and compensatory responses to deprivation. Despite the abundance of empirical data, a theoretical framework in which to understand the many sequelae of naris occlusion on olfaction has been elusive. This paper focuses on recent data, new theories, and underappreciated caveats related to the use of this technique in studies of olfactory plasticity.

Task Scheduling Algorithms for Multi-Carrying Robots

2015 ◽  
Vol 237 ◽  
pp. 189-194
Author(s):  
Damian Ledziński ◽  
Sandra Śmigiel ◽  
Łukasz Zabłudowski ◽  
Jarosław Zdrojewski
Keyword(s):  
Real Time ◽  
Virtual Environment ◽  
Task Scheduling ◽  
Allocation Of Resources ◽  
Perfect Model ◽  
Distribution Point ◽  
The Subject ◽  
The Times ◽  
Point To Point ◽  
The Many

In recent years, problem of task scheduling and allocation of resources has become the subject of many research. The interest of this issue, due to the necessity develop a perfect model, which properly mapped the many of logistical environment. Optimal appoint the path of robots, and also allocate the respective tasks and their order, is the key to solve this problem. For this purpose, was developed the virtual environment, which mapping the activities, taken in this area. Transport these resources is performed in real-time. The task is called by the transport of resources, performed by the robot, between the place of start point to point of distribution. Distribution point is called by the place for downloading and putting the resources by customers. In this article, presents the algorithms relates to aspects of the management of work and planning of task for robots. The results shows the times of the tasks, as well as the times of services the customers, via uses the different algorithms of working robot, and also the amount of consumed the energy, during the performed tasks.

scholarly journals The probabilistic innovation theoretical framework

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Chris W. Callaghan
Keyword(s):  
Knowledge Management ◽  
Problem Solving ◽  
Real Time ◽  
Theory Development ◽  
Research Problem ◽  
Theoretical Framework ◽  
Management Theory ◽  
Effective Theory ◽  
Knowledge Management Theory ◽  
Knowledge Problem

Background: Despite technological advances that offer new opportunities for solving societal problems in real time, knowledge management theory development has largely not kept pace with these developments. This article seeks to offer useful insights into how more effective theory development in this area could be enabled.Aim: This article suggests different streams of literature for inclusion into a theoretical framework for an emerging stream of research, termed ‘probabilistic innovation’, which seeks to develop a system of real-time research capability. The objective of this research is therefore to provide a synthesis of a range of diverse literatures, and to provide useful insights into how research enabled by crowdsourced research and development can potentially be used to address serious knowledge problems in real time.Setting: This research suggests that knowledge management theory can provide an anchor for a new stream of research contributing to the development of real-time knowledge problem solving.Methods: This conceptual article seeks to re-conceptualise the problem of real-time research and locate this knowledge problem in relation to a host of rapidly developing streams of literature. In doing so, a novel perspective of societal problem-solving is enabled.Results: An analysis of theory and literature suggests that certain rapidly developing streams of literature might more effectively contribute to societally important real-time research problem solving if these steams are united under a theoretical framework with this goal as its explicit focus.Conclusion: Although the goal of real-time research is as yet not attainable, research that contributes to its attainment may ultimately make an important contribution to society.

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