Background: Family caregivers play an essential role, usually unpaid, in caring for patients with cancer. Older patients with cancer are cared for by a family member, who may not be prepared for the challenges. Aim of study: Was to assess burden of care among caregivers for elderly cancer patients. Research design: A descriptive research design was utilized to conduct this study. Setting: This study was conducted at Oncology Out-Patient Clinic in Benha University Hospital for caregivers with cancer patients. Sample: Simple random sample were used. The total numbers of study sample were 261 caregivers accompted by cancer patient were be taken randomly. Tools of data collection: Two tools were used First tool: A Structured interviewing questionnaire, which covers the following parts Part I-A: socio Demographic data of studied caregivers. B: socio Demographic data of patients. Part II: Knowledge of caregivers regarding cancer. Part IV: Practices of caregivers regarding cancer. Second tool: The Zarit Caregiver Burden Scale. Results: 67.8% of the studied caregivers had average knowledge about cancer. 52.1% of the studied caregivers had satisfactory practices score regarding to care of their cancer patients. 82.8% of the studied caregivers had high burden of care. Conclusion:There was a great impact on elderly cancerous patients' relatives. There was statistically significant difference relation between total caregivers burden of care and total practices (P<0.05). That means when caregivers practices increase the burden of care increase. Recommendations: Health educational program should be developed and implemented for the caregivers to educate them about the caring early warning signs and symptoms of cancer complications.

Background: Acquired Immune Deficiency Syndrome (AIDS) considered a serious condition that cause a weakness of body's immune system, leaving it unable to fight off illness AIDS is the last in a progression of diseases resulting from a viral infection known as the Human Immunodeficiency Virus (HIV). Aim of the study: Was to assess self-care management for patients with acquired immune deficiency syndrome. Research design: Descriptive research design was used to conduct this study. Setting: This study was conducted at AIDS Out Patient Clinics at Benha Fever Hospital in Benha city. Sample: Simple random sample of 150 patients with AIDS from previously setting Tools:, Structured interviewing questionnaire was used to collect data and divided in to four parts. Part I: Assessment socio-demographic characteristics of the studied patients. Part II: Assessment medical history of the studied AIDS patients Part III (A): concerned with patients' knowledge regarding AIDS. (B): concerned with knowledge of patients with AIDS toward self-care management Part IV: Self-care reported practices for patients with AIDS contains (Physical, Psychological and Social status). Results: 35.3% of the studied patients Age their ranged from25<35 years .67.3% of them were male.43.3% of studied patients had poor total knowledge score regarding AIDS and self-care management. 64.7% of the studied patients had unsatisfactory level of total self care practices. Conclusion: There was a highly statistically significant relation between total level of knowledge for the studied patients and their socio-demographic characteristics regarding job and income. There was a highly statistically significant relation between total level of self care practices for the studied patients and their socio-demographic characteristics regarding sex and income (P≤ 0.001). Recommendations: Health education for all patients with AIDS to raise their knowledge and improve their Self-Care practices toward AIDS. Replication of this study on large sample size in different setting.

Premature diagnosis of transformer oil faults enables the operator for diagnosing the transformer condition and hence operating the transformer continuously without outage. DGA is one of the most popular chemical tests used for fault diagnosis and there are many techniques which have been developed in this regard. This paper presents a proposed DGA technique for transformer oil fault identification based on the results of the recently published techniques. The proposed technique has been constructed based on the integration between the outputs of two recently established DGA techniques; Conditional probability and artificial neural network. A total of 532 datasets, obtained from the Egyptian Electricity Transmission Company (EETC) with known faults, have been used for designing and testing the proposed technique. The proposed fault diagnostic technique's accuracy attained 86.6 %, which is higher than the results of the combined techniques; 81.7% for ANN and 82.8% for conditional probability technique. The proposed developed technique came to the conclusion that integrating several DGA techniques, with higher accuracy, enhances fault detection's overall accuracy.

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