Various machine learning tasks can benefit from access to external information of different modalities, such as text and images. Recent work has focused on learning architectures with large memories capable of storing this knowledge. We propose augme
nting generative Transformer neural networks with KNN-based Information Fetching (KIF) modules. Each KIF module learns a read operation to access fixed external knowledge. We apply these modules to generative dialog modeling, a challenging task where information must be flexibly retrieved and incorporated to maintain the topic and flow of conversation. We demonstrate the effectiveness of our approach by identifying relevant knowledge required for knowledgeable but engaging dialog from Wikipedia, images, and human-written dialog utterances, and show that leveraging this retrieved information improves model performance, measured by automatic and human evaluation.
Clinical Evaluation of two types of Self-adhesive Composites (Constic®
- FusioTM) and comparing with conventional flowable composite when used as
restorative material for class V cavities.
Clinical Evaluation of Postoperative sensitivity for two types of Self-adhesive
Composites (Constic® - FusioTM) and comparing with conventional flowable composite when
used as restorative material for class V cavities.
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..
In this research, we discussed an analytical
study of the seismic behavior of an internal joint, and we improved
the plastic response of the joint after observing the effect of the
concrete encasement to the column’s steel section along the
connection area.
Regarding the sealing ability of restorative dental materials, this
study was done to assess the microleakage of class V cavities
restored with a new self-adhesive flowable composite resin and
compare to different flowable materials.
This study aimed to evaluate the fracture resistance of the E
glass Fiber Reinforced Composite when used to repair two different
kinds of dental porcelain.
As a result of the industrial progress absolved by the world in all
fields, new materials have been produced that have excellent
engineering properties at low economical cost. Therefore, we have
done this research by greening a composite material with a metal
base (aluminum 6061) reinforced with stainless steel wire A304.
In this work composite hybrid materials were prepared from a base
material composed of epoxy and phenol - form aldehyde resins and
reinforced by 30% wt alumina and silica powders and asbestos
fibers. For samples were prepared with. Different ratio of
reinforcing material.
To compare postoperative sensitivity following composite
restoration placed in class I cavities using Eighth generation self etch
adhesive" Futurabond" and fifth generation total etch adhesive.
