Semigroup ideal in Prime Near-Rings with Derivations

Abdullrahman H.  Majeed; Hiba A. Ahmed

doi:10.21123/bsj.2011.8.3.810-814

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Publication Date

Sun Sep 04 2011

Journal Name

Baghdad Science Journal

Volume

8

Issue Number

3

DOI

10.21123/bsj.2011.8.3.810-814

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Semigroup ideal in Prime Near-Rings with Derivations

Prime Near-ring

Semiprime Near–ring

Semigroup ideal

derivation. Mathematical Subject Classification: 16Y30

16W25

15U80.

Abdullrahman H. Majeed

Hiba A. Ahmed

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In this paper we generalize some of the results due to Bell and Mason on a near-ring N admitting a derivation D , and we will show that the body of evidence on prime near-rings with derivations have the behavior of the ring. Our purpose in this work is to explore further this ring like behavior. Also, we show that under appropriate additional hypothesis a near-ring must be a commutative ring.

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Publication Date

Fri Nov 21 2025

Journal Name

Journal Of Advances In Information Technology

Towards Accurate SDG Research Categorization: A Hybrid Deep Learning Approach Using Scopus Metadata

text classification

Sustainable Development Goals (SDGs)

deep learning

hybrid bidirectional Long Short-Term Memory-Convolutional Neural Network (LSTM-CNN)

Global Vector (GloVe) embeddings

Jalal Sadoon Hameed

Furat N.

Mohammed

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The complexity and variety of language included in policy and academic documents make the automatic classification of research papers based on the United Nations Sustainable Development Goals (SDGs) somewhat difficult. Using both pre-trained and contextual word embeddings to increase semantic understanding, this study presents a complete deep learning pipeline combining Bidirectional Long Short-Term Memory (BiLSTM) and Convolutional Neural Network (CNN) architectures which aims primarily to improve the comprehensibility and accuracy of SDG text classification, thereby enabling more effective policy monitoring and research evaluation. Successful document representation via Global Vector (GloVe), Bidirectional Encoder Representations from Tra

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Publication Date

Tue Dec 30 2008

Journal Name

Al-kindy College Medical Journal

Rate of Schneiderian First Rank Symptoms among Newly Diagnosed Schizophrenic Patients

Diagnostic and Statistical Manual-4th Edition-ext Revised (DSM-IV-TR)

First Rank Symptoms (SFRS)

American Psychiatric Association (APA)

International Pilot Study of Schizophrenia (IPSS)

International Classification of Diseases (ICD)

Abdul-Rasoul

Twana A.

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Background: Schneiderian first rank symptoms are
considered highly valuable in the diagnosis of
schneideria.
They are more evident in the acute phase of the
disorder and fading gradually with time. Many studies
have shown that the rate of these symptoms are
variable in different countries and are colored by
cultural beliefs and values.
Objectives: To find out the rate of Schneiderian first
rank symptoms among newly diagnosed schizophrenic
patients, to assess which symptom(s) might
predominate in those patients, and to find out if there
is/are any correlation(s) between the occurrence of
these symptoms and the sex of the patients.
Methods: Out of twenty-four patients with no past
psychiatric hi

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Publication Date

Wed Jan 01 2020

Journal Name

Technologies And Materials For Renewable Energy, Environment And Sustainability: Tmrees20

Change detection of the land cover for three decades using remote sensing data and geographic information system

The changes in the land cover using geographical information systems and remote sensing techniques for the period (1990 - 2019) for part of the Baghdad governorate in central Iraq are detected and monitored. In this research

four satellite scenes with different sensors were used the TM

ETM+

and OLI

which were obtained by Landsat-5

Landsat-7 and Landsat-8 satellites

respectively. Maximum likelihood method supervised classification is adopted as the main classifier to distinguish different land cover types in the study region. The results showed that there are ten different classes in the values of their reflectance. This study proved that any landcover of the earth’s surface can be studied and determined by its spectral characteristics. The change for each class of the land cover for the study area was determined within the study period. The results of the study confirmed the possibility of identifying the types of land cover and finding the percentage of changes that occur in it and detecting it with high efficiency using the remote sensing technique.

Muna Aref

Amal Jabbar

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