The Confidence Database

2019 ◽  
Author(s):  
Dobromir Rahnev ◽  
Kobe Desender ◽  
Alan L. F. Lee ◽  
William T. Adler ◽  
David Aguilar-Lleyda ◽  
...  
Keyword(s):  
Cognitive Processes ◽  
Large Database ◽  
Large Collection ◽  
Perceptual Memory ◽  
Software Packages ◽  
Fields Of Study ◽  
Precise Estimation ◽  
New Findings ◽  
Wide Range ◽  
Existing Data

Understanding how people rate their confidence is critical for characterizing a wide range of perceptual, memory, motor, and cognitive processes. However, as in many other fields, progress has been slowed by the difficulty of collecting new data and the unavailability of existing data. To address this issue, we created a large database of confidence studies spanning a broad set of paradigms, participant populations, and fields of study. The data from each study are structured in a common, easy-to-use format that can be easily imported and analyzed in multiple software packages. Each dataset is further accompanied by an explanation regarding the nature of the collected data. At the time of publication, the Confidence Database (available at osf.io/s46pr) contained 145 datasets with data from over 8,700 participants and almost 4 million trials. The database will remain open for new submissions indefinitely and is expected to continue to grow. We show the usefulness of this large collection of datasets in four different analyses that provide precise estimation for several foundational confidence-related effects and lead to new findings that depend on the availability of large quantity of data. This Confidence Database will continue to enable new discoveries and can serve as a blueprint for similar databases in related fields.

How Does Mindfulness Affect Cognition? A Reflection on Confounding Issues Surrounding Mindfulness-based Intervention Research Targeting Cognitive Outcomes

2018 ◽  
Author(s):  
David R Vago ◽  
Resh Gupta ◽  
Sara Lazar
Keyword(s):  
Systematic Review ◽  
Health Outcomes ◽  
Cognitive Functioning ◽  
Cognitive Processes ◽  
Methodological Quality ◽  
Cognitive Outcomes ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
Existing Data

One potential pathway by which mindfulness-based meditation improves health outcomes is through changes in cognitive functioning. A systematic review of randomized controlled trials of mindfulness-based interventions (MBIs) was conducted with a focus on assessing the state of the evidence for effects on cognitive processes and associated assays. Here, we comment on confounding issues surrounding the reporting of these and related findings, including 1) criteria that appropriately define an MBI; 2) limitations of assays used to measure cognition; and 3) methodological quality of MBI trials and reporting of findings. Because these issues contribute to potentially distorted interpretations of existing data, we offer constructive means for interpretation and recommendations for moving the field of mindfulness research forward regarding the effects on cognition.

Heterocycle Compounds with Antimicrobial Activity

2020 ◽  
Vol 26 (8) ◽  
pp. 867-904 ◽  
Author(s):  
Maria Fesatidou ◽  
Anthi Petrou ◽  
Geronikaki Athina
Keyword(s):  
Heterocyclic Compounds ◽  
Bacterial Infections ◽  
Scientific Community ◽  
Antimicrobial Agents ◽  
Fungal Infections ◽  
Biological Activities ◽  
Literature Survey ◽  
New Findings ◽  
Wide Range ◽  
Number Of Microorganisms

Background: Bacterial infections are a growing problem worldwide causing morbidity and mortality mainly in developing countries. Moreover, the increased number of microorganisms, developing multiple resistances to known drugs, due to abuse of antibiotics, is another serious problem. This problem becomes more serious for immunocompromised patients and those who are often disposed to opportunistic fungal infections. Objective: The objective of this manuscript is to give an overview of new findings in the field of antimicrobial agents among five-membered heterocyclic compounds. These heterocyclic compounds especially five-membered attracted the interest of the scientific community not only for their occurrence in nature but also due to their wide range of biological activities. Method: To reach our goal, a literature survey that covers the last decade was performed. Results: As a result, recent data on the biological activity of thiazole, thiazolidinone, benzothiazole and thiadiazole derivatives are mentioned. Conclusion: It should be mentioned that despite the progress in the development of new antimicrobial agents, there is still room for new findings. Thus, research still continues.

scholarly journals mtDNAcombine: tools to combine sequences from multiple studies

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Eleanor F. Miller ◽  
Andrea Manica
Keyword(s):  
Sequence Data ◽  
Data Extraction ◽  
Bayesian Skyline Plot ◽  
Model Organisms ◽  
Data Sets ◽  
Data Handling ◽  
Online Database ◽  
Genetic Studies ◽  
Wide Range ◽  
Existing Data

Abstract Background Today an unprecedented amount of genetic sequence data is stored in publicly available repositories. For decades now, mitochondrial DNA (mtDNA) has been the workhorse of genetic studies, and as a result, there is a large volume of mtDNA data available in these repositories for a wide range of species. Indeed, whilst whole genome sequencing is an exciting prospect for the future, for most non-model organisms’ classical markers such as mtDNA remain widely used. By compiling existing data from multiple original studies, it is possible to build powerful new datasets capable of exploring many questions in ecology, evolution and conservation biology. One key question that these data can help inform is what happened in a species’ demographic past. However, compiling data in this manner is not trivial, there are many complexities associated with data extraction, data quality and data handling. Results Here we present the mtDNAcombine package, a collection of tools developed to manage some of the major decisions associated with handling multi-study sequence data with a particular focus on preparing sequence data for Bayesian skyline plot demographic reconstructions. Conclusions There is now more genetic information available than ever before and large meta-data sets offer great opportunities to explore new and exciting avenues of research. However, compiling multi-study datasets still remains a technically challenging prospect. The mtDNAcombine package provides a pipeline to streamline the process of downloading, curating, and analysing sequence data, guiding the process of compiling data sets from the online database GenBank.

New insights on Laminaria digitata ultrastructure through combined conventional chemical fixation and cryofixation

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Christos Katsaros ◽  
Sophie Le Panse ◽  
Gillian Milne ◽  
Carl J. Carrano ◽  
Frithjof Christian Küpper
Keyword(s):  
Cell Wall ◽  
General Structure ◽  
Raw Material ◽  
Rocky Shores ◽  
Chemical Fixation ◽  
Laminaria Digitata ◽  
Vegetative Cells ◽  
Biological Studies ◽  
New Findings ◽  
Wide Range

Abstract The objective of the present study is to examine the fine structure of vegetative cells of Laminaria digitata using both chemical fixation and cryofixation. Laminaria digitata was chosen due to its importance as a model organism in a wide range of biological studies, as a keystone species on rocky shores of the North Atlantic, its use of iodide as a unique inorganic antioxidant, and its significance as a raw material for the production of alginate. Details of the fine structural features of vegetative cells are described, with particular emphasis on the differences between the two methods used, i.e. conventional chemical fixation and freeze-fixation. The general structure of the cells was similar to that already described, with minor differences between the different cell types. An intense activity of the Golgi system was found associated with the thick external cell wall, with large dictyosomes from which numerous vesicles and cisternae are released. An interesting type of cisternae was found in the cryofixed material, which was not visible with the chemical fixation. These are elongated structures, in sections appearing tubule-like, close to the external cell wall or to young internal walls. An increased number of these structures was observed near the plasmodesmata of the pit fields. They are similar to the “flat cisternae” found associated with the forming cytokinetic diaphragm of brown algae. Their possible role is discussed. The new findings of this work underline the importance of such combined studies which reveal new data not known until now using the old conventional methods. The main conclusion of the present study is that cryofixation is the method of choice for studying Laminaria cytology by transmission electron microscopy.

Serotonin Receptor Subtypes: Implications for Psychopharmacology

1991 ◽  
Vol 159 (S12) ◽  
pp. 7-14 ◽  
Author(s):  
P. J. Cowen
Keyword(s):  
Cognitive Processes ◽  
Serotonin Receptor ◽  
Antidepressant Treatment ◽  
Receptor Subtypes ◽  
Therapeutic Effects ◽  
Controlled Clinical Trials ◽  
Wide Range ◽  
Selective Ligands ◽  
Coupling Mechanisms ◽  
Therapeutic Possibilities

Serotonin (5-HT) interacts with multiple brain 5-HT receptor subtypes to influence a wide range of behaviours. Three main families of 5-HT receptors (5-HT1, 5-HT2 and 5-HT3) have been described which differ in their binding affinity for selective ligands, their receptor-effector coupling mechanisms, and the behavioural processes they regulate. Nevertheless, manipulation of several different 5-HT receptor subtypes (5-HT1A, 5-HT1c, 5-HT2 and 5-HT3) may produce anxiolytic effects; 5-HT1A and 5-HT2 receptors may be involved in the aetiology of major depression and the therapeutic effects of antidepressant treatment; and 5-HT3 receptors have been linked to reward mechanisms and cognitive processes. These advances offer therapeutic possibilities, the value of which can only be satisfactorily assessed by controlled clinical trials.

scholarly journals Minimum cost network flows: Problems, algorithms, and software

2013 ◽  
Vol 23 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Angelo Sifaleras
Keyword(s):  
Network Flow ◽  
Flow Problem ◽  
Network Flows ◽  
Minimum Cost ◽  
Network Flow Problem ◽  
Software Packages ◽  
Wide Range ◽  
Solution Methods ◽  
Minimum Cost Network Flow ◽  
Algorithmic Approaches

We present a wide range of problems concerning minimum cost network flows, and give an overview of the classic linear single-commodity Minimum Cost Network Flow Problem (MCNFP) and some other closely related problems, either tractable or intractable. We also discuss state-of-the-art algorithmic approaches and recent advances in the solution methods for the MCNFP. Finally, optimization software packages for the MCNFP are presented.

scholarly journals Distribution-preserving data augmentation

2021 ◽  
Vol 7 ◽  
pp. e571
Author(s):  
Nurdan Ayse Saran ◽  
Murat Saran ◽  
Fatih Nar
Keyword(s):  
Data Augmentation ◽  
Image Data ◽  
Large Data ◽  
Data Availability ◽  
Superior Performance ◽  
Color Distribution ◽  
Spatial Transformations ◽  
Wide Range ◽  
Dataset Size ◽  
Existing Data

In the last decade, deep learning has been applied in a wide range of problems with tremendous success. This success mainly comes from large data availability, increased computational power, and theoretical improvements in the training phase. As the dataset grows, the real world is better represented, making it possible to develop a model that can generalize. However, creating a labeled dataset is expensive, time-consuming, and sometimes not likely in some domains if not challenging. Therefore, researchers proposed data augmentation methods to increase dataset size and variety by creating variations of the existing data. For image data, variations can be obtained by applying color or spatial transformations, only one or a combination. Such color transformations perform some linear or nonlinear operations in the entire image or in the patches to create variations of the original image. The current color-based augmentation methods are usually based on image processing methods that apply color transformations such as equalizing, solarizing, and posterizing. Nevertheless, these color-based data augmentation methods do not guarantee to create plausible variations of the image. This paper proposes a novel distribution-preserving data augmentation method that creates plausible image variations by shifting pixel colors to another point in the image color distribution. We achieved this by defining a regularized density decreasing direction to create paths from the original pixels’ color to the distribution tails. The proposed method provides superior performance compared to existing data augmentation methods which is shown using a transfer learning scenario on the UC Merced Land-use, Intel Image Classification, and Oxford-IIIT Pet datasets for classification and segmentation tasks.

scholarly journals Metacognition: A new cognitive paradigm

Psihologija ◽  
2004 ◽  
Vol 37 (2) ◽  
pp. 149-161 ◽  
Author(s):  
Milos Kankaras
Keyword(s):  
Cognitive Functioning ◽  
Cognitive Processes ◽  
Cognitive Activity ◽  
Human Mind ◽  
Short Period ◽  
Wide Range ◽  
Thinking Processes ◽  
And Behavior ◽  
And Control ◽  
Metacognitive Experiences

This article reviews concept of metacognition, defined as: (a) knowledge about ones own cognitive activity, (b) strategies to monitor and regulate cognitive activity and behavior, and (c) subjective or metacognitive experiences which comes from some changes or temporary difficulties in cognitive functioning. While describing different conceptualizations of metacognition, its development, fields of application, relation with intelligence, and its constrictions and ambiguity, we attempt to present new and emerging metacognitive paradigm, which is, for a relatively short period, succeeded to improve, expand, and redefine wide range of theoretical and practical fields in psychology, on new and original way. How do we become conscious of our own cognitive processes? What role and significance that consciousness has, what is the functional level above thinking processes and how that level, which monitor and control cognitive activity, works. Metacognition is concept that presents, as so far, the most important insight in those human mind areas, which, although very important, remained on the margin of psychological investigations until now.

scholarly journals Cytospora (Diaporthales) in China

2020 ◽  
Vol 45 (1) ◽  
pp. 1-45 ◽  
Author(s):  
X.L. Fan ◽  
J.D.P. Bezerra ◽  
C.M. Tian ◽  
P.W. Crous
Keyword(s):  
New Species ◽  
Host Plants ◽  
Southwest China ◽  
New Combination ◽  
Large Collection ◽  
Dna Phylogeny ◽  
The Past ◽  
Worldwide Distribution ◽  
Wide Range ◽  
Woody Host

Members of the genus Cytospora are often reported as endophytes, saprobes or phytopathogens, primarily causing canker diseases of woody host plants. They occur on a wide range of hosts and have a worldwide distribution. Although several species have in the past been reported from China, the vast majority are not known from culture or DNA phylogeny. The primary aim of the present study was thus to clarify the taxonomy and phylogeny of a large collection of Cytospora species associated with diverse hosts in China. Cytospora spp. were collected in northeast, northwest, north and southwest China, indicating that the cold and dry environments favour these fungi. In this paper, we provide an assessment of 52 Cytospora spp. in China, focussing on 40 species represented by 88 isolates from 28 host genera. Based on a combination of morphology and a six-locus phylogeny (ITS, LSU, act1, rpb2, tef1-α and tub2), 13 new species and one new combination are introduced. The majority of the species investigated here appear to be host-specific, although further collections and pathogenicity studies will be required to confirm this conclusion.

Effects of Response Range in Frequency Judgments of Common versus Uncommon Events

1996 ◽  
Vol 82 (3_suppl) ◽  
pp. 1371-1376 ◽  
Author(s):  
Kimihiko Yamagishi
Keyword(s):  
Cognitive Processes ◽  
High Frequency ◽  
Narrow Range ◽  
Frequency Estimation ◽  
Low Frequency ◽  
Social Facts ◽  
Frequency Judgments ◽  
Response Range ◽  
Wide Range ◽  
Wide Condition

Frequency estimation of social facts was compared between two methods of response elicitation. In the “narrow range” method, respondents answered questions like: “Out of 100 instances, how many instances belong to category X?”. In the “wide range” method, the same question was asked regarding “Out of 10,000.” A previous study in 1994 showed that judged frequencies were proportionally greater in the narrow condition than in the wide condition when subjects estimated the occurrence of low-frequency events. These results were interpreted to reflect cognitive processes of anchoring, wherein judged frequencies he close to small numbers within particular response ranges. The current work extends this argument to high-frequency events. In such cases, judgments about high-frequency events would be reached by similar cognitive processes operating toward the opposite direction. Hence, I predicted that judged frequencies for high-frequency events would be proportionally greater in the wide than in the narrow condition. Results were mostly consistent with these predictions. The relation to previous research is discussed.

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