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Self-determintion and Emotional Experience and their Relationship with achievement striving for the college Students
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Human beings have an innate and natural aim to achieve their self-interests and to show their ability to overcome challenges in a better way, therefore the move towards self determination is expressed by intrinsic motivation. The desire of absorbing in this task is to enjoy the task in it self and benefitting from it such a motivation is the desire rooted in human nature to judge and choose in which individual is conscious in his self, abilities and adequacy that help him in control the different  situations of life passed by him. His choices and actions are voluntary  and non-restricted to intervention or external control because control is inner and subjective, while his behavior is self-regulated with the feeling of independence, that is the feeling of psychological freedom and the motivation of self-determination. with this independence, human being enjoys power and psychological health as they are necessary for health , integration and  happiness. Self –determination is regarded as humane , civilized and social phenomenom whose association indicating positively self-wellbeing , general health, creativity and achievement  in most fields of active life. The importance of self-determination required its study and acquainting with it and the emotional experience and their relationship with achievement striving.

The present research aims to:

  1. Acquainting with self-determination for the college students.
  2. Acquainting with emotional experience for the college students.
  3. Acquainting with achievement striving for the college students.
  4. Acquainting with the significance differences in self-determination for the college students according to two variables : gender “males, females” and major “scientific,humanistic”
  5. Acquainting with the significant differences in emotional experience for the college students according to two variables :gender “males, females” and major “scientific , humanistic”
  6. Acquainting with the significant differences in achievement striving for the college students according to two variables : gender “males, females “ major “scientific , humanistic”
  7. The extent of contribution of self-determination and emotional experience in total variance of achievement striving for the college students.

To achieve the research aims, the researcher built three scales for the present research and verified their valdity and analysed their items statistically on a sample consisting of 600 male and female college students to find discriminate power and validity for their  items.

The reliability of scales was computed by the re-test way and cronbach’s  alpha.

After completing of scales ‘ building , they were applied on the researcher’s main sample

‘400 male and female students” . having collected the data and processed them statistically, the researcher reached several findings , the most important of them as follows:

  1. The mean of self-determination degrees for the research sample was higher than the hypothetical mean and that indicates that sample subjects have high self-determination.
  2. The mean of emotional experience degrees for the sample was higher than the hypothetical mean and that indicates that sample subjects have high emotional experience.
  3. The mean of achievement striving degrees was higher than the sample have high motivation for achievement  striving .

In the light of these findings and as completion for the fields associated with the present  resarch, and the researcher recommended several of recommends as she suggested conducting several scientific studies and researches.

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Publication Date
Wed Jun 01 2022
Journal Name
Baghdad Science Journal
Syntheses, Structures and Biological Activity of Some Schiff Base Metal Complexes
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Four new binuclear Schiff base metal complexes [(MCl2)2L] {M = Fe 1, Co 2, Cu 3, Sn 4, L = N,N’-1,4-Phenylenebis (methanylylidene) bis (ethane-1,2-diamine)} have been synthesized using direct reaction between proligand (L) and the corresponding metal chloride (FeCl2, CoCl2, CuCl2 and SnCl2). The structures of the complexes have been conclusively determined by a set of spectroscopic techniques (FT-IR, 1H-NMR, and mass spectra). Finally, the biological properties of the complexes have been investigated with a comparative approach against different species of bacteria (E. coli G-, Pseudomonas G-, Bacillus G+,

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Publication Date
Fri Sep 15 2023
Journal Name
Iop Conference Series: Earth And Environmental Science
Determine, Predict and Map Soil pH Level by Fiber Optic Sensor
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Abstract<p>Soil pH is one of the main factors to consider before undertaking any agricultural operation. Methods for measuring soil pH vary, but all traditional methods require time, effort, and expertise. This study aimed to determine, predict, and map the spatial distribution of soil pH based on data taken from 50 sites using the Kriging geostatistical tool in ArcGIS as a first step. In the second step, the Support Vector Machines (SVM) machine learning algorithm was used to predict the soil pH based on the CIE-L*a*b values taken from the optical fiber sensor. The standard deviation of the soil pH values was 0.42, which indicates a more reliable measurement and the data distribution is normal.</p> ... Show More
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Publication Date
Mon Dec 14 2020
Journal Name
2020 13th International Conference On Developments In Esystems Engineering (dese)
Anomaly Based Intrusion Detection System Using Hierarchical Classification and Clustering Techniques
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With the rapid development of computers and network technologies, the security of information in the internet becomes compromise and many threats may affect the integrity of such information. Many researches are focused theirs works on providing solution to this threat. Machine learning and data mining are widely used in anomaly-detection schemes to decide whether or not a malicious activity is taking place on a network. In this paper a hierarchical classification for anomaly based intrusion detection system is proposed. Two levels of features selection and classification are used. In the first level, the global feature vector for detection the basic attacks (DoS, U2R, R2L and Probe) is selected. In the second level, four local feature vect

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Publication Date
Tue Sep 08 2020
Journal Name
Baghdad Science Journal
Fat Mass and Obesity Association gene Polymorphism in PCOS Iraqi Women
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             Polycystic syndrome (PCOS) is a considerable infertility disorder in adolescents and adult women in reproductive age. Obesity is a vigorous risk factor related to POCS.  This study aims to evaluate the association of obesity and PCOS by investigating several parameters including:  anthropological, biochemical (lipid profile, fasting blood sugar, glucose tolerance test, and hormone levels (LH, FSH, LH/FSH ratio, Estradiol2 and Testosterone),and genetic parameters (Fat mass and Obesity associated gene (FTO) polymorphism at rs17817449) in 63 obese and non-obese PCOS women. The biochemical tests were investigated by colorimetric methods while FTO gene polymorp

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Publication Date
Tue Sep 08 2020
Journal Name
Baghdad Science Journal
Fat Mass and Obesity Association gene Polymorphism in PCOS Iraqi Women
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             Polycystic syndrome (PCOS) is a considerable infertility disorder in adolescents and adult women in reproductive age. Obesity is a vigorous risk factor related to POCS.  This study aims to evaluate the association of obesity and PCOS by investigating several parameters including:  anthropological, biochemical (lipid profile, fasting blood sugar, glucose tolerance test, and hormone levels (LH, FSH, LH/FSH ratio, Estradiol2 and Testosterone),and genetic parameters (Fat mass and Obesity associated gene (FTO) polymorphism at rs17817449) in 63 obese and non-obese PCOS women. The biochemical tests were investigated by colorimetric methods while FTO gene polymorphism was detected by PCR–RFLP.  Lipid profile, F

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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
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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
Tue Jun 01 2021
Journal Name
International Journal Of Nanoscience
Synthesis and Spectroscopic Characterization of Platinum Nanoparticles by Plasma Jet Method
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In this research, Argon gas was used to generate atmospheric plasma in the manufacture of platinum nanomaterials, to study the resultant plasma spectrum and to calculate the cellular toxicity of those manufactured nanomaterials. This research is keen on the generation of nonthermal atmospheric pressure plasma using aqueous platinum salts (H2PtCl6 6H2O) with different concentrations and exposure of cold plasma with a different time period used to produce platinum nanoparticles, to ensure typical preparation of nanoparticles. Visible UV and X-rays were performed for this purpose, and the diameter of the system probe was (1[Formula: see text]mm) with the Argon gas flow of

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Publication Date
Sun Aug 01 2021
Journal Name
Bulletin Of Electrical Engineering And Informatics
Robust speaker verification by combining MFCC and entrocy in noisy conditions
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Automatic speaker recognition may achieve remarkable performance in matched training and test conditions. Conversely, results drop significantly in incompatible noisy conditions. Furthermore, feature extraction significantly affects performance. Mel-frequency cepstral coefficients MFCCs are most commonly used in this field of study. The literature has reported that the conditions for training and testing are highly correlated. Taken together, these facts support strong recommendations for using MFCC features in similar environmental conditions (train/test) for speaker recognition. However, with noise and reverberation present, MFCC performance is not reliable. To address this, we propose a new feature 'entrocy' for accurate and robu

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Publication Date
Sat Dec 01 2018
Journal Name
Swarm And Evolutionary Computation
Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
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Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Synthesis and Characterization of New heterocyclic Polyacrylamides from Derivatives 2-Aminobenzothiazole
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The present work involved preparation of new hetro cyclic polyacrylamides (1-9) using reaction of polyacryloyl chloride with 2-aminobenzothiazole which prepeard by thiocyanogen method in the presence of a suitable solvent and amount tri ethyl amine (Et3N) with heating. The structure confirmation of polymers were proved using FT-IR,1H-NMR,C13NMR and UV spectroscopy.Other physical properties including softening and melting points, and solubility of the polymers were also measured.

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