scholarly journals Three Ways of Being Non-Material

Studia Logica ◽  
2021 ◽  
Author(s):  
Vincenzo Crupi ◽  
Andrea Iacona
Keyword(s):  
Probabilistic Analysis ◽  
Quantitative Measure ◽  
Strict Interpretation ◽  
Formal Framework ◽  
Evidential Support ◽  
Ways Of Being

AbstractThis paper develops a probabilistic analysis of conditionals which hinges on a quantitative measure of evidential support. In order to spell out the interpretation of ‘if’ suggested, we will compare it with two more familiar interpretations, the suppositional interpretation and the strict interpretation, within a formal framework which rests on fairly uncontroversial assumptions. As it will emerge, each of the three interpretations considered exhibits specific logical features that deserve separate consideration.

Procedures for the Quantitative Determination of Autoprothrombin C

1962 ◽  
Vol 08 (03) ◽  
pp. 434-441 ◽  
Author(s):  
Edmond R Cole ◽  
Ewa Marciniak ◽  
Walter H Seegers
Keyword(s):  
Quantitative Determination ◽  
Plasma Sample ◽  
Quantitative Measure ◽  
The Other ◽  
Clotting Time ◽  
Bovine Plasma ◽  
Autoprothrombin C

SummaryTwo quantitative procedures for autoprothrombin C are described. In one of these purified prothrombin is used as a substrate, and the activity of autoprothrombin C can be measured even if thrombin is in the preparation. In this procedure a reaction mixture is used wherein the thrombin titer which develops in 20 minutes is proportional to the autoprothrombin C in the reaction mixture. A unit is defined as the amount which will generate 70 units of thrombin in the standardized reaction mixture. In the other method thrombin interferes with the result, because a standard bovine plasma sample is recalcified and the clotting time is noted. Autoprothrombin C shortens the clotting time, and the extent of this is a quantitative measure of autoprothrombin C activity.

Aboutness

2014 ◽  
Author(s):  
Stephen Yablo
Keyword(s):  
Subject Matter ◽  
Philosophy Of Language ◽  
Mental States ◽  
Library Science ◽  
Philosophical Methodology ◽  
Major Advance ◽  
Truth Conditions ◽  
Ways Of Being ◽  
Made In

Aboutness has been studied from any number of angles. Brentano made it the defining feature of the mental. Phenomenologists try to pin down the aboutness features of particular mental states. Materialists sometimes claim to have grounded aboutness in natural regularities. Attempts have even been made, in library science and information theory, to operationalize the notion. However, it has played no real role in philosophical semantics, which is surprising. This is the first book to examine through a philosophical lens the role of subject matter in meaning. A long-standing tradition sees meaning as truth conditions, to be specified by listing the scenarios in which a sentence is true. Nothing is said about the principle of selection—about what in a scenario gets it onto the list. Subject matter is the missing link here. A sentence is true because of how matters stand where its subject matter is concerned. This book maintains that this is not just a feature of subject matter, but its essence. One indicates what a sentence is about by mapping out logical space according to its changing ways of being true or false. The notion of content that results—directed content—is brought to bear on a range of philosophical topics, including ontology, verisimilitude, knowledge, loose talk, assertive content, and philosophical methodology. The book represents a major advance in semantics and the philosophy of language.

Beyond Religious Freedom

2015 ◽  
Author(s):  
Elizabeth Shakman Hurd
Keyword(s):  
International Law ◽  
Religious Freedom ◽  
Nation Building ◽  
Global Politics ◽  
Power Dynamics ◽  
Religious Tolerance ◽  
Religious Minorities ◽  
Religious Difference ◽  
Power Difference ◽  
Ways Of Being

In recent years, North American and European nations have sought to legally remake religion in other countries through an unprecedented array of international initiatives. Policymakers have rallied around the notion that the fostering of religious freedom, interfaith dialogue, religious tolerance, and protections for religious minorities are the keys to combating persecution and discrimination. This book argues that these initiatives create the very social tensions and divisions they are meant to overcome. It looks at three critical channels of state-sponsored intervention: international religious freedom advocacy, development assistance and nation building, and international law. It shows how these initiatives make religious difference a matter of law, resulting in a divide that favors forms of religion authorized by those in power and excludes other ways of being and belonging. In exploring the dizzying power dynamics and blurred boundaries that characterize relations between “expert religion,” “governed religion,” and “lived religion,” the book charts new territory in the study of religion in global politics. The book provides new insights into today's most pressing dilemmas of power, difference, and governance.

Epigenetic Target Prediction with Accurate Machine Learning Models

2021 ◽  
Author(s):  
Norberto Sánchez-Cruz ◽  
Jose L. Medina-Franco
Keyword(s):  
Machine Learning ◽  
Small Molecules ◽  
Predictive Models ◽  
Large Scale ◽  
Target Prediction ◽  
Quantitative Measure ◽  
Learning Models ◽  
Discovery Research ◽  
Drug Discovery Research ◽  
Machine Learning Models

<p>Epigenetic targets are a significant focus for drug discovery research, as demonstrated by the eight approved epigenetic drugs for treatment of cancer and the increasing availability of chemogenomic data related to epigenetics. This data represents a large amount of structure-activity relationships that has not been exploited thus far for the development of predictive models to support medicinal chemistry efforts. Herein, we report the first large-scale study of 26318 compounds with a quantitative measure of biological activity for 55 protein targets with epigenetic activity. Through a systematic comparison of machine learning models trained on molecular fingerprints of different design, we built predictive models with high accuracy for the epigenetic target profiling of small molecules. The models were thoroughly validated showing mean precisions up to 0.952 for the epigenetic target prediction task. Our results indicate that the herein reported models have considerable potential to identify small molecules with epigenetic activity. Therefore, our results were implemented as freely accessible and easy-to-use web application.</p>

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