This research aims to identify the vigilant personality of University teachers in term of gender. To this end, the researcher used the scale of Al-tememe (2017) for the vigilant personality, the scale was administered to the sample of the study which was (100) male and female teachers. The results have shown that university teachers generally have a vigilant personality, as well as the result showed a difference between male and female teachers on the level of vigilant personality in favor of males. In the light of these results the researcher has come with a number of recommendations and suggestions.

The personality of an individual comes from the social adjustment which is
represented by the individual interaction with the others. If the individual has acceptable
adjustment, he/she has good social skills such as the flexibility in interaction with others and
accepting the living with them.
Sometimes, the individual show pretended personality in his/her interaction with
others and we should accept the appearance of this characteristic in society. An individual
lives in this society among different types of human personalities with his own personality
which represents emotional, social, rational and physical characteristics.
These characteristics have their importance to be studied within college students
be

أهمية البحث والحاجة أليه

لماذا الأهتمام بالشخصية ؟

• بسبب الواقع العالمي المنكوس حيث بات الأنسان يعيش غريباً معزولاً عن أعماق ذاته ، ويحيا مقهوراً من أجل الوسط المادي الذي يعيش فيه .
• أن خلاص الأنسانية الأكبر لن يكون ألا بالنمو الروحي والعقلي للأنسان ، وتحسين ذاته وأدارتها على نحو أفضل ، وليس في تنمية الموارد المحدودة المهددة بالهلاك .
• أن ت

In this research, optical communication coding systems are designed and constructed by utilizing Frequency Shift Code (FSC) technique. Calculations of the system quality represented by signal to noise ratio (S/N), Bit Error Rate (BER),and Power budget are done. In FSC system, the data of Nonreturn- to–zero (NRZ ) with bit rate at 190 kb/s was entered into FSC encoder circuit in transmitter unit. This data modulates the laser source HFCT-5205 with wavelength at 1310 nm by Intensity Modulation (IM) method, then this data is transferred through Single Mode (SM) optical fiber. The recovery of the NRZ is achieved using decoder circuit in receiver unit. The calculations of BER and S/N for FSC system a

Objective: Econazole nitrate (ECZ) is one of the triazole antifungal drugs with poor aqueous solubility and dissolution rate; there is a need for enhancement of solubility. Therefore; inclusion complexation with β cyclodextrin (βCD) was performed. Methods: In this study kneading method and co-evaporation method of preparation of inclusion complex between βCD and ECZ using two molar ratios of βCD. The solubility of these complexes in isotonic saline solution and distilled water was studied. Complexes prepared by kneading method were used for the preparation of different ophthalmic gel formulas using carbomer (CB) and sodium carboxymethylcellulose (sod CMC) as a gelling agent. The release profile and the rheological behaviour of the gel w

The aim of the present study was to develop theophylline (TP) inhalable sustained delivery system by preparing solid lipid microparticles using glyceryl behenate (GB) and poloxamer 188 (PX) as a lipid carrier and a surfactant respectively. The method involves loading TP nanoparticles into the lipid using high shear homogenization – ultrasonication technique followed by lyophilization. The compositional variations and interactions were evaluated using response surface methodology, a Box – Behnken design of experiment (DOE). The DOE constructed using TP (X₁), GB (X₂) and PX (X₃) levels as independent factors. Responses measured were the entrapment efficiency (% EE) (Y₁), mass median

The rise of Industry 4.0 and smart manufacturing has highlighted the importance of utilizing intelligent manufacturing techniques, tools, and methods, including predictive maintenance. This feature allows for the early identification of potential issues with machinery, preventing them from reaching critical stages. This paper proposes an intelligent predictive maintenance system for industrial equipment monitoring. The system integrates Industrial IoT, MQTT messaging and machine learning algorithms. Vibration, current and temperature sensors collect real-time data from electrical motors which is analyzed using five ML models to detect anomalies and predict failures, enabling proactive maintenance. The MQTT protocol is used for efficient com