Identification and prediction of abnormal behaviour activities of daily living in intelligent environments

The aim of this research is to investigate efficient mining of useful information from a sensor network forming an Ambient Intelligence (AmI) environment. In this thesis, we investigate methods for supporting independent living of the elderly (and specifically patients who are suffering from dementia) by means of equipping their home with a simple sensor network to monitor their behaviour and identify their Activities of Daily Living (ADL). Dementia is considered to be one of the most important causes of disability in the elderly. Mostpatients would prefer to use non-intrusive technology to help them tomaintain their independence. Such monitoring and prediction would allow the caregiver to see any trend in the behaviour of the elderly person and to be informed of any abnormal behaviour

Echo state network for occupancy prediction and pattern mining in intelligent environment

Pattern analysis and prediction of sensory data is becoming an increasing scientific challenge and a massive economical interest supports the need for better pattern mining techniques. The aim of this paper is to investigate efficient mining of useful information from a sensor network representing an ambient intelligence environment. The goal is to extract and predict behavioral patterns of a person in his/her daily activities by analyzing the time series data representing the behaviour of the occupant, generated using occupancy sensors. There are various techniques available for analysis and prediction of a continuous time series signal. However, the occupancy signal is represented by a binary time series where only discrete values of a signal are available. To build the prediction model, recurrent neural networks are investigated. They are proven to be useful tools to solve the difficulties of the temporal relationships of inputs between observations at different time steps, by maintaining internal states that have memory. In this paper, a special form of recurrent neural network, the so-called Echo State Network (ESN) is used in which discrete values of time series can be well processed. Then, a model developed based on ESN is compared with the most popular recurrent neural net-works; namely Back Propagation Through Time (BPTT) and Real Time Recurrent Learning (RTRL). The results showed that ESN provides better prediction results compared with BPTT and RTRL. Using ESN, large datasets are learnt in only few minutes or even seconds. It can be concluded that ESN are efficient and valuable tools in binary time series prediction. The results presented in this paper are based on simulated data generated from a simulator representing a person in a 1 bedroom flat

Polymorphism in the protein of the thoracic muscle of an endemic bee (Anthophora pauperata) in the St Katherine Protectorate

Genetic variability of the solitary bee Anthophora pauperata, endemic to the St Katherine Protectorate, was assessed within and between seven wadis in South Sinai, Egypt. Low levels of variation were found, with most diversity within rather than between sites. There were a total of 34 bands, of which only seven were polymorphic among individuals

Inducible clindamycin resistance and nasal carriage rates of Staphylococcus aureus among healthcare workers and community members

Background: Nasal carriage of Staphylococcus aureus is becoming an increasing problem among  healthcare workers and community individualsObjectives: To determine the prevalence of methicillin-resistant S. aureus (MRSA) nasal colonization and inducible clindamycin resistance (ICR) of S. aureus among healthcare workers at Soba University Hospital and community members in Khartoum State, Sudan.Methods: Five hundred nasal swabs samples were collected during March 2009 to April 2010. Isolates were identified using conventional laboratory assays and MRSA determined by the disk diffusion method. The D-test was performed for detection of ICR isolates with Clinical Laboratory Standard Institute guidelines.Results: Of the 114 S. aureus isolated, 20.2% represented MRSA. The occurrence of MRSA was  significantly higher among healthcare worker than community individuals [32.7% (18/55) vs. 6.9% (5/59)] (p=0.001). Overall the 114 S. aureus isolates tested for ICR by D-test, 29 (25.4%) yielded inducible resistance. Significantly higher (p=0.026) ICR was detected among MRSA (43.5%) than methicillin-susceptible S. aureus (MSSA) (20.9%).Conclusion: MRSA nasal carriage among healthcare workers needs infection control practice in hospitals to prevent transmission of MRSA. The occurrence of ICR in S. aureus is of a great concern, D- test should be carried out routinely in our hospitals to avoid therapeutic failure.Keywords: S. aureus nasal carriage, healthcare workers, community members, inducible clindamycin resistanc

Impact of occult hepatitis B virus infection on antiviral therapy in chronic hepatitis C patients

Background: Occult HBV infection (OBI) can be defined by the presence of HBV-DNA in the serum of patients who are negative for HBsAg. The presence of OBI has been associated with a poor therapeutic response to alpha IFN in many, but not in all studies.Objective: The aim of our study was to assess the prevalence of OBI in the serum of Egyptian patients with CHC, and to evaluate its impact on the response to treatment with a combination of Peg-IFNa and RBV.Materials and methods: Fifty chronic HCV infected patients who were treated with Peg-IFNa once a week in combination with RBV for 48 weeks were included in this study. Patients were divided into two groups, group I which included 25 patients who achieved SVR and group II that included 25 patients who failed to achieve SVR (Non-SVR). Both patient groups were subjected to detailed questionnaire, clinical examination, routine laboratory investigations and virological studies.Results: No statistical significant difference was found in sex distribution regarding SVR and Non-SVR. The frequency of patients with low viral load has a statistically significant association.KEYWORDS: Chronic hepatitis C; Occult HBV infection; Sustained virological respons

Berberine mitigates methotrexate-induced oxidative stress and inflammation in the cerebrum of rats

Berberine is a natural isoquinoline alkaloid with multiple beneficial therapeutic effects. This study was designed to evaluate the protective effect of berberine against methotrexate (MTX)-induced oxidative stress and inflammation in the brain of rats. Rats received a single intraperitoneal injection of MTX (20 mg/kg) and orally administered 25 mg/kg and 50 mg/kg body weight berberine for 7 days. MTX-induced rats showed significantly increased lipid peroxidation and nitric oxide levels in the cerebrum. Treatment of the MTXinduced rats with berberine produced a significant decrease in cerebral levels of lipid peroxidation and nitric oxide. In addition, berberine induced a significant increase in reduced glutathione, superoxide dismutase, glutathione peroxidase and glutathione-S-transferase in the cerebrum of MTX-induced rats. Rats received MTX showed a significant up-regulation of nuclear factor-kappaB (NF-κB), inducible nitric oxide synthase (iNOS), tumor necrosis factor alpha (TNF-α) and interleukin-1beta (IL-1β) expression in the cerebrum, an effect that was significantly reversed following treatment with berberine. In conclusion, berberine protects against MTXinduced neurotoxicity through attenuating oxidative stress and inflammation, and boosting the antioxidant defenses

Age-related difference in susceptibility of ApcMin/+ mice towards the chemopreventive efficacy of dietary aspirin and curcumin

The nonsteroidal anti-inflammatory drug aspirin and the spice curcumin retard adenoma formation when administered long-term to ApcMin/+ mice, a model of human familial adenomatous polyposis coli. Both agents interfere with cyclooxygenase activity. When aspirin is administered to ApcMin/+ mice only postweaning, but not before, it is inefficacious, while curcumin given postweaning is active. Here the hypothesis was tested that dietary aspirin (0.05%) or curcumin (0.2%) prevent or delay adenoma formation in offsprings when administered to ApcMin/+ mothers and up to the end of weaning, but not afterwards. Whereas curcumin was without effect when administered in this way, aspirin reduced numbers of intestinal adenomas by 21%. When aspirin given up to the end of weaning was combined with curcumin administered from the end of weaning for the rest of the animals' lifetime, intestinal adenoma numbers were reduced by 38%. The combination was not superior to intervention postweaning with curcumin alone. These results show that aspirin exerts chemopreventive activity in the ApcMin/+ mouse during tumour initiation/early promotion, while curcumin is efficacious when given at a later stage of carcinogenic progression. Thus, the results suggest that in this mouse model aspirin and curcumin act during different ‘windows’ of neoplastic development