Abstract:  Two different shapes of offset optical fiber was studied based on coreless fiber for refractive index (RI)/concentration (con.) measurement, and compare them. These shapes are U and S-shapes, both shapes structures were formed by one segment of coreless fiber (CF) was joined between two single mode (SMF) lead in /lead out with the same displacement (12.268µm) at both sides, the results shows the high sensitive was achieved in a novel S-shape equal 98.768nm/RIU, to our knowledge, no one has ever mentioned or experienced it, it’s the best shape rather than the U-shape which equal 85.628nm/RIU. In this research, it was proved that the offset form has a significant effect on the sensitivity of the sensor. Addi

        This paper signifies the contradictory point of view in John Clare’s poetry. Clare (1794-1864) is an English romantic poetry in the nineteenth century, who writes more than ten volumes about nature. So, this study highlights the concept of Psychoanalytic theory which is ‘ambivalence’ and how through this theory can interpret any literary text on the basis of utilizing psychoanalytic methods to literary texts in order to reveal the author's inner emotions such as motives, dreams, as well as wishes. Consequently, the concept of  ‘ambivalence’ has a lot in common with the human psyche and its struggles. Sometimes the reader finds the author/poet talking about something real or a notion with pleasant sentiments

The child realize that the meals time provide golden opportunities to get the attention the child needs. However, many difficulties that may appear about eating food can be avoided, if the family used the right way in dealing with this problem. The study aims, in this case, at searching for the reasons that lies behind the child's obstinacy in eating his food and the attempt to study some variables that is related to the research topic.

The results are summed up as follows:

• The number of the sample children is 3 of both sexes between the ages of 3 to 6 years

There is an assumption implicit but fundamental theory behind the decline by the time series used in the estimate, namely that the time series has a sleep feature Stationary or the language of Engle Gernger chains are integrated level zero, which indicated by I (0). It is well known, for example, tables of t-statistic is designed primarily to deal with the results of the regression that uses static strings. This assumption has been previously treated as an axiom the mid-seventies, where researchers are conducting studies of applied without taking into account the properties of time series used prior to the assessment, was to accept the results of these tests Bmanueh and delivery capabilities based on the applicability of the theo

Botnet detection develops a challenging problem in numerous fields such as order, cybersecurity, law, finance, healthcare, and so on. The botnet signifies the group of co-operated Internet connected devices controlled by cyber criminals for starting co-ordinated attacks and applying various malicious events. While the botnet is seamlessly dynamic with developing counter-measures projected by both network and host-based detection techniques, the convention techniques are failed to attain sufficient safety to botnet threats. Thus, machine learning approaches are established for detecting and classifying botnets for cybersecurity. This article presents a novel dragonfly algorithm with multi-class support vector machines enabled botnet

Patients infected with the COVID-19 virus develop severe pneumonia, which typically results in death. Radiological data show that the disease involves interstitial lung involvement, lung opacities, bilateral ground-glass opacities, and patchy opacities. This study aimed to improve COVID-19 diagnosis via radiological chest X-ray (CXR) image analysis, making a substantial contribution to the development of a mobile application that efficiently identifies COVID-19, saving medical professionals time and resources. It also allows for timely preventative interventions by using more than 18000 CXR lung images and the MobileNetV2 convolutional neural network (CNN) architecture. The MobileNetV2 deep-learning model performances were evaluated

استهدفت الدراسة الحالية تحديد طبيعة العلاقة الارتباطية بين التعاطف والسلوك العدواني لدى عينة من طلبة المرحلة المتوسطة. تكونت العينة من طلبة الصف الأول المتوسط بغداد/ تربية الرصافة الثانية من كلا الجنسين، شملت 218 طالباً وطالبة، وطبق مقياس التعاطف، ومقياس السلوك العدواني. وبعد معالجة البيانات، أظهرت النتائج تمتع طلبة الصف الأول المتوسط بالنزعة أو الميل للتعاطف، وتبين أن الإناث أكثر تعاطفاً من الذكور، ومستوى