Alzheimer's Disease (AD) is associated with many characteristic changes, not only in an individual's language but also in the interactive patterns observed in dialogue. The most indicative changes of this latter kind tend to be associated with relati
vely rare dialogue acts (DAs), such as those involved in clarification exchanges and responses to particular kinds of questions. However, most existing work in DA tagging focuses on improving average performance, effectively prioritizing more frequent classes; it thus gives a poor performance on these rarer classes and is not suited for application to AD analysis. In this paper, we investigate tagging specifically for rare class DAs, using a hierarchical BiLSTM model with various ways of incorporating information from previous utterances and DA tags in context. We show that this can give good performance for rare DA classes on both the general Switchboard corpus (SwDA) and an AD-specific conversational dataset, the Carolinas Conversation Collection (CCC); and that the tagger outputs then contribute useful information for distinguishing patients with and without AD
بات مرض كورونا من الأمراض التي تهدد حياتنا اليومية وذلك يعود إلى سرعة المرض الكبيرة وكانت الجهود كلها تصب في الحد من ذلك الانتشار الهائل للفيروس وذلك عن طريق التشخيص السريع للمرضى واتخاذ الاحتياطات اللازمة بعد ذلك.
هذا فرض علينا البحث عن أساليب مجدي
ة و سريعة لتشخيص المرض والحد من انتشاره والوصول إلى حلول تقنية مفيدة باستخدام التعلم العميق وذلك من خلال بناء نموذج يساعد على تصنيف الصور الشعاعية للمرضى هل هم أشخاص أصحاء أم مصابين وبالتالي القدرة على تشخيص المرض بشكل أسرع
لقد استخدمنا نموذج قائم على التعلم العميق وهو شبكة عصبية تلافيفة لمساعدة أخصائي الأشعة على تشخيص وتحديد الإصابة أو نفيها تلقائيا من الصور الشعاعية
وقد حقق النموذج دقة تصنيف مقدارها 96.46 في المئة
This research aims to produce a diagnosis system for breast cancer by using Neural
Network depending on Back Propagation algorithm(BPNN) and Adaptive Neuro Fuzzy
Inference System ‘ANFIS’, the both of studies was done using structural features of
b
iopsies in “Wisconson Breast Cancer “data base.
In the end a comparison was made between the two studies of malignant- benign
classification of breast masses of breast cancer which has accuracy 95,95% with BPNN
and 91.9% with ANFIS system, this results can be consider very important if they
compared with researches depending on image features that obtained of various devises
like mammography, magnetic resonance.
Cirrhosis is an important cause of morbidity and mortality globally . Liver biopsy
is still the gold standard for diagnosing liver cirrhosis but this technique is expensive
and have many complications . So doctors are looking for other methods that
have less
complications and cost .Nine ultrasonographic variables were recorded in 202 patients
.Half of patients(101) have cirrhosis and were divided into groups depending on cause and
severity of cirrhosis .While the other half have chronic liver diseases but they have not,
develop cirrhosis yet. Main cause of cirrhosis is chronic viral hepatitis. Sensitivity is
88%,specificity is 80% in diagnosing cirrhosis.
The current research criticizes a classical critical text that appeared in (The Book of
Al- Aghani) with two supportive clues: it is reflection to (Musa’b Ibn Abdullah al-Zubeiri),
in which it handles the poetry of (Umar Ibn Abi Rabiaa) and highlig
hts his position among
contemporaries and peers.
This research describes (Musa’b’s) text: it discloses the style, analyses the
constituents, interprets the critical terms and viewpoints, tends to pursue the implications
through scrutinizing the proposed poetical coexistences, up towards conceptualizing the
emerging critical insight-being a critical insight that represents a creative approach within
the critical thinking of Arabs. This is due to that the fact that Musa’b’s legacy stands as the
primordial classical critical Arabic text that encompasses the receptor’s viewpoint in the
comprehensive intuitive experience. Nonetheless, it does not consider the influential
impressionistic rules that had been concurrent at that age sufficient, neither finds it
efficient to have one, two or three lines of verse to pinpoint its viewpoints, as had been the
custom. Rather, it studies the wholesome of Omar’s literary production (Umar’s
Anthology) being one single text in which he pours his expertise, thoughtfully penetrates
its essence in an attempt to uncover the secrets distinguishability, excellence over its
contemporary texts. Therefore, it stands as the first critical Arabic text that examines the
(stylistic uniqueness) that characterizes an outstanding creative figure via the creatorreceptor
interaction over the domain of the text.
Research aimed at identifying the role of knowledge management in improving institutional performance of the employees at the University of Damascus, and to identify significant differences in the answers the sample search to identify knowledge manag
ement according to variables research: (academic rank, years of experience, job description), has adopted a researcher on the descriptive analytical approach, and used the search tool: (questionnaire knowledge management), where the research sample included 243 teaching faculty member at the University of Damascus.
Among the most important findings of the research:
There are significant differences between the average Answers members of the research sample to identify knowledge management variable according to academic rank in favor of individuals who have the academic rank of professor.
There are significant differences between the average Answers members of the research sample to identify knowledge management variable according to years of experience for the benefit of individuals who have years of experience (21 + years).
There are significant differences between the average Answers members of the research sample to identify knowledge management variable according to the job description for the benefit of individuals who had the job description (Dean of the Faculty, Vice-Dean).
In light of the research findings ,the researcher proposes the following:
1. Create a house of expertise and decision support at the university through the creation of an constantly updated database and information systems that everyone works in its preparation that provide the employees and departments with the necessary quantitative and qualitative information in the appropriate time and appropriate way, as one of the most important processes of knowledge management.
2. The necessity of taking the three-dimensional key of knowledge: hardware , software, knowledge resources in addition to the human recourses , the knowledge generator and maker and the most important element in this integrated system, which is the substantive equivalent of the physical system.
Forty Isolates of Streptomyces bacteria were obtained from soil samples
from different regions of Syria (Damascus, Sweida, Daraa, Homs, Latakia,
Damascus, Hasakeh, Deir-ezzor) during 2012. The isolates were identified using
ISP (International Stre
ptomyces Project) methodology based on morphological
and physiological criteria. Isolates were grown on selective solid media
depending on growth density as an indicator of the consumption of xylose as an
unique carbon source then on liquid media to determine their ability to
produce the glucose isomerase enzyme. The crude enzyme was extracted using
CTAB 0.1% solution, the enzyme activity was estimated using glucose as a
substrate and the end product was measured colorimetrically at 560 nm.
Results showed that the 40 isolates belong to 29 different species of
Streptomyces. All isolates were able to produce glucose isomerase but they
varied in their efficiency. Isolate SH10 (S. roseiscleroticus) was distinguished by
its high level of enzyme production reaching 4.9 units /ml.
Rhodotorula yeast was isolated from various local sources. Fifty isolates
were collected during the years 2012-2013 where 13 were isolated from soil, 23
from tree leaves and 14 from food. The isolates AUX system. Were classified
into three Rhodoto
rula species: R. mucilaginosa, R. glutinis and R. minuta with
76%, 20% and 4% respectively using API 20c. Six methods were applied in
breaking down the yeast cells and extracting the carotenoids. It was shown the
quantity of carotenoides extracted with the modified method by adding DMSO
to the yeast biomass and incubating for 24 hrs at 4˚C yielded in higher
quantities when compared with the other five methods. All isolates were able to
produce carotenoides but they varied in their efficiency where the isolate A24
(R.mucilaginosa) isolated from food was distinguished by its high level of
production which reached 658.23 μg/g dry weight compared with the others.
Low frequency shadows is one of hydrocarbons indicators. It can be
detected by means of a time-frequency decomposition which can provide higher
frequency resolution at lower frequencies and higher time resolution at higher
frequencies. This is des
irable for analyzing seismic data, because the
hydrocarbons in reservoir are diagnostic at lower frequencies. we have carried
out such analyses with post-stack data sets on Fahda field which is located in
Aleppo uplift, it contains oil. Adding a frequency axis to a 2D seismic section
makes the data 3D axis. The comparison of the single frequency sections from
such 3D volume can be utilized to detect low frequency shadows. A
preferentially illuminated single frequency section at lower frequencies from
Fahda field, shows high amplitude low frequency anomalies beneath oil zones.
These anomalies disappear at higher frequencies.
