Find extract This research aims to find out (after learning strategy cells in the development of critical thinking and reflective thinking at the fifth-grade students in the geographic literary material). And follow researcher Almhnj demo for the purpose of achieving the goals of current research and design on an experimental group and a control with a test group after me and adopted chose researcher sample Find a way Mqsidih students of junior high Kadhimiya Boys of the breeding Baghdad / Karkh II and to verify the effectiveness of the search coined researcher hypotheses following cases: - 1. No statistically significant between the mean scores of the experimental group and the students taught her students that strategy differences (learning cells) and the control group that teaches its students in the traditional way in the development of critical thinking in the geographical material. 2. No statistically significant between the mean of the experimental group students by students studying strategy differences (learning cells) and the control group that teaches its students in the traditional way in the development of reflective thinking in the geographical material. The sample of the research (66) students by (34) the experimental group which is studying the geographical material on the strategy of learning cells and (32) students of the control group taught the same material in the traditional manner and have rewarded researcher experimental group and control group students in chronological age variables Students-month period, the level of intelligence, academic achievement for mothers, test critical thinking, reflective thinking test. Select Dr material covered by the search for teaching fifth grade literary students and included the first three of the vocabulary of the prescribed curriculum geographical material for the academic year seasons (2013 - 2014) and in the light of the content coined researcher number of Aslukih objectives according to levels (Bloom) minimum (knowledge, understanding, application) and total (100) behaviorally target and promising researcher plans on teaching-learning strategy in accordance with the cells of the control group and the number of these plans (16) study plan. And to see the effect of learning cells strategy in personnel variables for this study (critical thinking and reflective thinking) Researcher adopted the measure ready for critical thinking and is a measure of (al-Kaabi, 2005) critical thinking component of (99) test paragraph and which covered (5) the capacity of thinking Critic is a reproduction and knowledge of assumptions or postulates, deduction, interpretation, calendar pilgrims, as a promising researcher himself a measure of reflective thinking fits with the nature of the course material, students and be the scale of (30) items distributed among the five skills of reflective thinking and are (meditation and observation , disclosure of events, access to conclusions, to give convincing explanations, put the proposed solutions and check out the virtual charity and applied to exploratory sample of (50) Tbalba and ensure the effectiveness of the false alternatives and ratified the selection and steadfastness and at the end of the experiment researcher tests applied to Standart critical thinking and reflective thinking on the experimental group and the control and the use of appropriate statistical methods researcher students to address the findings of the current research, which yielded the following results: - 1. The existence of differences statistically significant at the level (0.05) between the experimental group taught according to students learning strategy cells and the control group, which is considering the geographical material itself in the traditional way of thinking and critic for the experimental group and thus rejects the hypothesis Asfrah first. 2. there is a statistically significant difference at the level (0.05) between the experimental group which is studying the geographical material in accordance with the learning strategy cells and the control group students taught the same material in the traditional way of thinking and contemplative for the experimental group and thus rejects the hypothesis Asfrah first. And the researcher to a number of conclusions in the light of the results of the search, including: - 1. develop the skills of critical thinking skills and reflective thinking to the fifth grade in literary geographical material students through the use of strategy (learning cells). 2. Students feeling in the bilateral groups in the strategy of learning cells that they perform their duties classroom bilaterally and collectively cooperative and their sense of being responsible for their duties in bilateral their groups towards achieving the goals lead to learning an active and effective over the way Altqldeh, which led to the development of critical thinking skills and reflective thinking for students Group Altgeraah skills. 3. The use of Zdhu practice (learning cells) as an activity of intellectual activity leads to increased student information in geographical material and giving them Mtaadh skills such as the ability to reflect and think and disposal and the analysis and planning of the activities of their cooperation and teamwork and respect for the views of others . And researcher recommended in light of the results, including the following: - 1. cells use learning strategy in teaching geographical material for the preparatory phase for the purpose of further development of skills Altvkiran critic and contemplative. 2. Working on the teaching of teachers in-service by the Ministry of Education on how to use the cells to learn strategy and economy baptized on teaching methods that rely conservation and indoctrination. And researcher suggested in light of the results as follows: - 1. conduct a similar study on the other stages of the study and both sexes to see the effect of using the cells learning strategy in the development of critical thinking skills and reflective thinking skills of students in the geographical material. 2. further studies to determine the impact of the use of learning strategy cells in variables other than critical thinking and contemplative Mthelalatjahat about geographical material and retention of information and motivation to learn.
Regarding to the computer system security, the intrusion detection systems are fundamental components for discriminating attacks at the early stage. They monitor and analyze network traffics, looking for abnormal behaviors or attack signatures to detect intrusions in early time. However, many challenges arise while developing flexible and efficient network intrusion detection system (NIDS) for unforeseen attacks with high detection rate. In this paper, deep neural network (DNN) approach was proposed for anomaly detection NIDS. Dropout is the regularized technique used with DNN model to reduce the overfitting. The experimental results applied on NSL_KDD dataset. SoftMax output layer has been used with cross entropy loss funct
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The field of autonomous robotic systems has advanced tremendously in the last few years, allowing them to perform complicated tasks in various contexts. One of the most important and useful applications of guide robots is the support of the blind. The successful implementation of this study requires a more accurate and powerful self-localization system for guide robots in indoor environments. This paper proposes a self-localization system for guide robots. To successfully implement this study, images were collected from the perspective of a robot inside a room, and a deep learning system such as a convolutional neural network (CNN) was used. An image-based self-localization guide robot image-classification system delivers a more accura
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The emergence of SARS-CoV-2, the virus responsible for the COVID-19 pandemic, has resulted in a global health crisis leading to widespread illness, death, and daily life disruptions. Having a vaccine for COVID-19 is crucial to controlling the spread of the virus which will help to end the pandemic and restore normalcy to society. Messenger RNA (mRNA) molecules vaccine has led the way as the swift vaccine candidate for COVID-19, but it faces key probable restrictions including spontaneous deterioration. To address mRNA degradation issues, Stanford University academics and the Eterna community sponsored a Kaggle competition.This study aims to build a deep learning (DL) model which will predict deterioration rates at each base of the mRNA
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Purpose: The purpose of this study was to clarify the basic dimensions, which seeks to indestructible scenarios practices within the organization, as a final result from the use of this philosophy.
Methodology: The methodology that focuses adoption researchers to study survey of major literature that dealt with this subject in order to provide a conceptual theoretical conception of scenarios theory .
The most prominent findings: The only successful formulation of scenarios, when you reach the decision-maker's mind wa takes aim to form a correct mental models, which appear in the expansion of Perception managers, and adopted as the basis of the decisions taken. The strength l
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A new human-based heuristic optimization method, named the Snooker-Based Optimization Algorithm (SBOA), is introduced in this study. The inspiration for this method is drawn from the traits of sales elites—those qualities every salesperson aspires to possess. Typically, salespersons strive to enhance their skills through autonomous learning or by seeking guidance from others. Furthermore, they engage in regular communication with customers to gain approval for their products or services. Building upon this concept, SBOA aims to find the optimal solution within a given search space, traversing all positions to obtain all possible values. To assesses the feasibility and effectiveness of SBOA in comparison to other algorithms, we conducte
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Adverse drug reactions (ADR) are important information for verifying the view of the patient on a particular drug. Regular user comments and reviews have been considered during the data collection process to extract ADR mentions, when the user reported a side effect after taking a specific medication. In the literature, most researchers focused on machine learning techniques to detect ADR. These methods train the classification model using annotated medical review data. Yet, there are still many challenging issues that face ADR extraction, especially the accuracy of detection. The main aim of this study is to propose LSA with ANN classifiers for ADR detection. The findings show the effectiveness of utilizing LSA with ANN in extracting AD
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Semantic segmentation is an exciting research topic in medical image analysis because it aims to detect objects in medical images. In recent years, approaches based on deep learning have shown a more reliable performance than traditional approaches in medical image segmentation. The U-Net network is one of the most successful end-to-end convolutional neural networks (CNNs) presented for medical image segmentation. This paper proposes a multiscale Residual Dilated convolution neural network (MSRD-UNet) based on U-Net. MSRD-UNet replaced the traditional convolution block with a novel deeper block that fuses multi-layer features using dilated and residual convolution. In addition, the squeeze and execution attention mechanism (SE) and the s
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Due to the difficulties that Iraqi students face when writing in the English language, this preliminary study aimed to improve students' writing skills by using online platforms remotely. Sixty first-year students from Al-Furat Al–Awsat Technical University participated in this study. Through these platforms, the researchers relied on stimuli, such as images, icons, and short titles to allow for deeper and more accurate participations. Data were collected through corrections, observations, and feedback from the researchers and peers. In addition, two pre and post-tests were conducted. The quantitative data were analysed by SPSS statistical Editor, whereas the qualitative data were analyzed using the Piot table, an Excel sheet. The resu
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Atorvastatin calcium (ATR) is an antihyperlipidemic agent used for lowering blood cholesterol levels. However, it is very slightly soluble in water with poor oral bioavailability, which interferes with its therapeutic action. It is classified as a class II drug according to Biopharmaceutical Classification System (low solubility and high permeability).
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The field of Optical Character Recognition (OCR) is the process of converting an image of text into a machine-readable text format. The classification of Arabic manuscripts in general is part of this field. In recent years, the processing of Arabian image databases by deep learning architectures has experienced a remarkable development. However, this remains insufficient to satisfy the enormous wealth of Arabic manuscripts. In this research, a deep learning architecture is used to address the issue of classifying Arabic letters written by hand. The method based on a convolutional neural network (CNN) architecture as a self-extractor and classifier. Considering the nature of the dataset images (binary images), the contours of the alphabet
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