Machine learning-based prediction of material properties is often hampered by the lack of sufficiently large training data sets. The majority of such measurement data is embedded in scientific literature and the ability to automatically extract these
data is essential to support the development of reliable property prediction methods. In this work, we describe a methodology for developing an automatic property extraction framework using material solubility as the target property. We create a training and evaluation data set containing tags for solubility-related entities using a combination of regular expressions and manual tagging. We then compare five entity recognition models leveraging both token-level and span-level architectures on the task of classifying solute names, solubility values, and solubility units. Additionally, we explore a novel pretraining approach that leverages automated chemical name and quantity extraction tools to generate large datasets that do not rely on intensive manual tagging. Finally, we perform an analysis to identify the causes of classification errors.
Material science synthesis procedures are a promising domain for scientific NLP, as proper modeling of these recipes could provide insight into new ways of creating materials. However, a fundamental challenge in building information extraction models
for material science synthesis procedures is getting accurate labels for the materials, operations, and other entities of those procedures. We present a new corpus of entity mention annotations over 595 Material Science synthesis procedural texts (157,488 tokens), which greatly expands the training data available for the Named Entity Recognition task. We outline a new label inventory designed to provide consistent annotations and a new annotation approach intended to maximize the consistency and annotation speed of domain experts. Inter-annotator agreement studies and baseline models trained upon the data suggest that the corpus provides high-quality annotations of these mention types. This corpus helps lay a foundation for future high-quality modeling of synthesis procedures.
The aim of this study is improving the durability of precast products of Glass Fiber
Reinforced Concrete (GRC) and in the context of sustainability applications, reduction of
cement consumption and replacement of it with green materials. This study
has been done
to test the role of the natural pozzolan from Shihan Hill in As Suwayda as supplementary
cementing material by 10% -15% -20% - 25%, and to determine the effect of it on the
consistency and flexure strength over 180 days, as well as to test its role in improving the
micro-structure of the mixture by reducing the content of Ca(OH)2 and increasing C-S-H
& C-A-S-H gel, which were tested using X-Ray Diffraction (XRD) and Energy Dispersive
X-Ray (EDX) techniques, and as a result reduced the erosion of fibers as shown in images
by Scanning Electronic Electron Microscopy (SEM). Moreover the role of pozzolana has
been studied in controlling the degradation of the material over time which tested by
immersion in hot water 50° for 150 days and by drying – wetting cycles. Also the effect of
pozzolana on absorption, porosity and resistance of sulfates attacks was studied. The
results have shown that the used natural pozzolana has no negative effect on consistency or
mechanical properties, and it improved all the studied durability factors.
The present study aims to identify the similarities and differences in the view of
values between the main social theoretical trends adopted as assets to discuss topics of
interest to sociology. These trends agreed in principle to give quality of o
bjectively to the
values, and differed about their interpretation, understanding and change. We resort to the
comparative approach to find the disclosure of similarities and differences. This approach
is the closest approaches of social research to the nature of the studied subject, mainly in
the study of social phenomena. We will also turn to the analysis of the content according to
the requirements of the study when determining the point of view concerning the values in
this direction or that as stated by the first founders of these trends, namely Emile Durkheim
functional trend, and the founder of the rules of the approach in sociology, and Karl Marx,
the founder of marital comprehension of history and social life, Max Weber, the founder of
sociology of understanding, a pioneer of the ideal model of social analysis. The efforts
made by the founders to study social problems and phenomena, which have been adopted
as the basis of research in sociology, the researcher can draw from their general context
their view of values and reveal the underlying aspect of their studies around them,
especially if we know that each of the first pioneers did not highlight directly on the values
concept.
Modified resole resin/short silica fiber composite materials have been prepared.
The resole resin was synthesized and then blended with Polyvinylbutyral (PVB)
polymer with different weight ratios to reduce its brittleness. The mechanical,
thermal
and physical properties of Resol- PVB blends were studied to
characterize these blends and select the most appropriate mixing ratio of
polyvinyl butyral with resole resin, which was identified at 15 phr of polyvinyl
butyral for every 100 parts of resole resin.
Composite materials
ألیاف السیلیكا القصیرة
راتنج الریزول المعدل
مواد مركبة
مواد شفافة راداریاً
اختبارات فیزیائیة و میكانیكیة و كھربائیة
اختبارت حراریة و اختبارات اللفح الحراري
محلل الشبكة الشعاعي
Short silica fiber
modified resole resin
radio transparent material
physical mechanical and electrical tests
thermal and ablation test
vector network analyzer
S – Parameters
المزيد..
The objective of this study is to study the relationship between incentives (Material, moral) and functional commitment (Affective, Continuance, Normative). The researchers used the questionnaire as a tool for data collection, they distributed this q
uestionnaire to a random sample of 352 workers at Syriatel Communications, The researchers used the Pearson coefficient to study the relationship between incentives as an independent variable and functional commitment as a dependent variable. The researchers used the SPSS program version 20 to conduct statistical tests of research hypotheses. The research found that there was a strong moral relationship between the Material and moral incentives applied in Syriatel with the three types of functional commitment, but in varying degrees, and the strongest relationship between Material incentives and affective commitment, the Pearson correlation coefficient was / 0.989/. The researchers recommended the need to increase transportation allowance for employees; taking into account the views and suggestions of employees; and work to strengthen the organizational culture that emphasizes the sense of belonging to the company and the loyalty to it.
After the analyzing of formation pressure data and pressure
interference tests between wells in Ash Shaer field, the field has
been divided initially into three main blocks, then a material
balance model has been built for the field using MBAL software.
This model has proved the previous result besides answering some
problems which hasn’t been solved by the analytical method.
In this study, a simulation of the MTR-22MW reactor and a study
of standard and mixed fuel combustion using the Codes GETERA
and MCNP5.
The Results of the simulation showed that the operation time of the
reactor in the case of standard fuel is 274 days and if the use of
mixed fuel is 135 days.
this study was conducted to compare the stability of the
lower denture in edentulous treated with traditional complete
dentures and dentures manufactured by silicon materials.
The aim of the research is to identify the effectiveness of an teaching
program based on the model of generative learning in development of
educational achievement of students in the third grade in Damascos. The
research was based on the experimen
tal method, where the five-lesson
teaching program was applied to a sample of third-grade students in science.
And the application of a study achievement test of twenty questions in the
science. The number of the sample of the research(70) students and students,
divided into two groups, an experimental group consisting of(35) students
and students, from the school Samh bin Malek learned according to the
model of generative learning and the birth of a group of(35) students and
students from the school of Mohammad Alashmar learned according to the
followed methods.
