A Proposed Programme Based On Sensory Integration Theory For Remediating Some Development Learning Disabilities Among Children

Abd Elrahman Sayed Soleiman; احمد علوان شبرم

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Publication Date

Thu Dec 24 2020

Journal Name

Psychology And Education

Volume

58

Issue Number

2

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A Proposed Programme Based On Sensory Integration Theory For Remediating Some Development Learning Disabilities Among Children

1. Training Programme. 2. Sensory Integration. 3. Developmental Learning Disabilities

احمد علوان شبرم

Abd Elrahman Sayed Soleiman

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The current research aims to prepare a proposed Programmebased sensory integration theory for remediating some developmental learning disabilities among children, researchers prepared a Programme based on sensory integration through reviewing studies related to the research topic that can be practicedby some active teaching strategies (cooperative learning, peer learning, Role-playing, and educational stories). The Finalformat consists of(39) training sessions.

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Publication Date

Mon Dec 10 2018

Journal Name

Day 1 Mon, December 10, 2018

Wellbore Trajectory Optimization Using Rate of Penetration and Wellbore Stability Analysis

reservoir geomechanics

log analysis

machine learning

wellbore integrity

Artificial Intelligence

Wellbore Trajectory Optimization

neural network

wellbore stability analysis

Wellbore Design

wellbore trajectory

Ahmed K.

Usama

Mortadha

Salih

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Drilling deviated wells is a frequently used approach in the oil and gas industry to increase the productivity of wells in reservoirs with a small thickness. Drilling these wells has been a challenge due to the low rate of penetration (ROP) and severe wellbore instability issues. The objective of this research is to reach a better drilling performance by reducing drilling time and increasing wellbore stability.

In this work, the first step was to develop a model that predicts the ROP for deviated wells by applying Artificial Neural Networks (ANNs). In the modeling, azimuth (AZI) and inclination (INC) of the wellbore trajectory, controllable drilling parameters, unconfined compressive strength (UCS), formation

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Publication Date

Mon Apr 24 2017

Journal Name

Spe Kingdom Of Saudi Arabia Annual Technical Symposium And Exhibition

Optimization of Infill Drilling in Whicher Range Field in Australia

machine learning

reservoir simulation

asset and portfolio management

cumulative production

transient drainage area

production rate

reservoir model

infill well

tight gas reservoir

Modeling & Simulation

Omar

Aswin R.

Md Mofazzal

Akim H.

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Abstract<p>Now that most of the conventional reservoirs are being depleted at a rapid pace, the focus is on unconventional reservoirs like tight gas reservoirs. Due to the heterogeneous nature and low permeability of unconventional reservoirs, they require a huge number of wells to hit all the isolated hydrocarbon zones. Infill drilling is one of the most common and effective methods of increasing the recovery, by reducing the well spacing and increasing the sweep efficiency. However, the problem with drilling such a large number of wells is the determination of the optimum location for each well that ensures minimum interference between wells, and accelerates the recovery from the field. Detail</p> ... Show More

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Publication Date

Mon Oct 13 2025

Journal Name

Mesopotamian Journal Of Cybersecurity

Improvement of the Face Recognition Systems Security Against Morph Attacks using the Developed Siamese Neural Network

Face Recognition Systems (FRS)

Siamese Neural Network (SNN)

Faster Region-based Convolutional Neural Networks (R-CNN)

Local Binary Pattern-Convolutional Neural Network (LBP-CNN)

Deep Learning

Morphing Attacks

Sura

Thair

Nada

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Face Recognition Systems (FRS) are increasingly targeted by morphing attacks, where facial features of multiple individuals are blended into a synthetic image to deceive biometric verification. This paper proposes an enhanced Siamese Neural Network (SNN)-based system for robust morph detection. The methodology involves four stages. First, a dataset of real and morphed images is generated using StyleGAN, producing high-quality facial images. Second, facial regions are extracted using Faster Region-based Convolutional Neural Networks (R-CNN) to isolate relevant features and eliminate background noise. Third, a Local Binary Pattern-Convolutional Neural Network (LBP-CNN) is used to build a baseline FRS and assess its susceptibility to d

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Publication Date

Tue Dec 31 2019

Journal Name

Journal Of Economics And Administrative Sciences

The Role of Information Technology Competency in Activating of Human Resources Management Practices/ Applied Study in the Informatics and Communications Public Company in Iraq

IT competency

HRM Practices

IT usage

IT knowledge

IT operations

Training Program

Job Design

Recruitment

and Performance appraisal.

كفاءة تكنولوجيا المعلومات

ممارسات إدارة الموارد البشرية

استخدام تكنولوجيا المعلومات

معرفة تكنولوجيا المعلومات

عمليات تكنولوجيا المعلومات

برامج التدريب

تصميم االعمل

التوظيف (الاستقطاب)

وتقييم الأداء.

Nada Ismaeel

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This research aims to clarify the role of Information Technology Competency (ITC) with dimensions' (IT Usage, IT Knowledge, and IT Operations) as an independent variable in the activation of Human Resources Management Practices (HRM Practices) as a dependent variable with dimensions' (Training and Development, Recruitment, Job Design, and Performance appraisal). Based on this, the correlation and effect relationships between the independent and dependent variables are determined by formulating two main hypotheses. There are a significant relationship and effect of IT competency with HRM practices within the dimensions. Furthermore, the scope and population of this research are the Informatics and Communications P

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Publication Date

Mon Nov 20 2023

Journal Name

Journal For Research In Applied Sciences And Biotechnology

Article Review: Description Histology to Gastric Ulcer in Human

Gastric ulcer

Gastric juice pH

Mucous defenses

harmonic ulcers

Helicobacter pylori (H. pylori)

non-steroidal anti-inflammatory medicines (NSAIDs)

Proton pump inhibitors (PPIs)

Histamine-2 (H2) receptor inhibitors

Side effects

Recurrence

Pharmacological combination.

Israa Hassan

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A recurrent condition that affects up to 10% of people worldwide is gastric ulceration illness. The existence of gastric juice pH with the lowering of mucous defences is prerequisites for the development of chronic ulcers. The main variables affecting the mucosa susceptibility to damage include Helicobacter pylori (H. pylori) infections or non-steroidal anti-inflammatory medicines (NSAIDs). Proton pump inhibitors (PPIs) including histamine-2 (H2) receptor inhibitors, two common therapies for peptic ulcers, have been linked to side impacts, recurrence or a variety of pharmacological combinations. Conversely, therapeutic herbs or the chemicals they contain may be used to cure or eliminate a wide range of illnesses. Therefore, prominent pharma

Publication Date

Thu Jan 01 2026

Journal Name

Innovations In Sustainable Sports Infrastructure For Eco-friendly Design And Operations

Redacting The Performance of 110m Hurdle Runners Through the Analysis of Physical and Functional Abilities

Hurdling

Sprinting

Performance

Speed

Strength Further studies could increase sample size and employ machine learning to improve the model by including more biomechanical and psychological predictors

increasing the accuracy and applicability of performance predictions in sprint hurdling.

Thaer

Zina

Fatima

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The performance in the 110-meter hurdles at the sprint hurdles event is determined by several physical and physiological qualities. Nonetheless, relatively little attention has been paid to the predictability of such factors in determining race performance. This study seeks to fill this gap by establishing the most critical physical and physiological characteristics affecting elite hurdlers’ performance and creating a statistical model that predicts race times from the identified measurable characteristics. The study utilized a descriptive research design in-volving six elite male hurdlers, all of whom completed a battery of standardized physical and functional tests to assess their explosive lower-body strength, agility, reaction

Publication Date

Sat Oct 01 2016

Journal Name

Journal Of Theoretical And Applied Information Technology

Factors affecting global virtual teams’ performance in software projects

Today the trend is to perform software development work via distributed geographical area among team

individual or even as an organization. However

due to the global market and international presence of many companies

there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space

time and organizational boundaries via information and communication technologies. A global virtual team relies on communication

collaboration

and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study

we investigated factors that affect global virtual teams’ performance

factors considered include cultural differences

language problems

time-zone differences

team size

technical problems

lack of trust

lack of sufficient training

and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand

Ali Yahya Gheni

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