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Empathic Modelling for Product Design Engineering Students
( Ibrahim,N. I. ) 한국감성과학회 2014 춘계학술대회 Vol.2014 No.-
This paper explains the use of empathic modelling as a pedagogical tool for Product Design Engineering students. The objective is to expose students to the challenges of being physically impaired when using products. The method that had been used include using low technology props and focusing on simulating people with multiple disabilities. Based on students` responses, it can be concluded that empathic modelling has helped students to gain better understanding the difficulties that older and disabled people usually encounter when carrying out daily tasks. Finally, several issues and challenges related to the use of empathic modelling method are discussed. It is hope that this paper will be valuable for those interested in using empathic modelling in teaching Product Design Engineering.
Ibrahim M. Ibrahim Laila,Samar HassabAllah Kassem,Marwa Salah ElDin Mohamed Diab 한국실험동물학회 2023 Laboratory Animal Research Vol.39 No.3
Background: The clinical use of sildenafil citrate (Viagra), a drug used to treat erectile dysfunction, is limited because of its many side effects on tissues. In this context, we aimed to investigate the protective effects of hesperidin, a citrus flavonoid, on hepatic and testicular damage induced by a high dose of sildenafil citrate in male rats. Rats were randomly divided into four groups. The first group was used as the control group. The second group was orally administered sildenafil citrate at a high dose of 75 mg/kg thrice a week. In the third group, hesperidin was administered orally at a dose of 50 mg/kg/day. The fourth group was administered 75 mg/kg sildenafil citrate three times a week with 50 mg/kg hesperidin daily. The experiment lasted for 28 days. Results: In the sildenafil-treated groups, blood indices were altered, liver function tests were deranged, and serum testosterone levels were reduced. In the liver and testicular tissue, sildenafil citrate treatment resulted in significant reductions in catalase and total antioxidant capacity; as well as increased malondialdehyde, reactive oxygen species, and nitrous oxide levels. In addition, sildenafil citrate treatment caused abnormal histopathological patterns in both the liver and the testes. Liver vascular endothelial growth factor and testicular steroidogenic acute regulatory protein gene expression were upregulated. Conclusions: Hesperidin attenuated the harmful effects of intensive sildenafil citrate treatment on liver and testicular functions, alleviated oxidative stress and normalized blood indices. Therefore, hesperidin could be protective against sildenafil citrate-induced oxidative damage that may develop over the long term.
Numerical characterization of downburst wind field at WindEEE dome
Ibrahim Ibrahim,Haitham Aboshosha,Haitham Aboshosha 한국풍공학회 2020 Wind and Structures, An International Journal (WAS Vol.30 No.3
Downbursts are acknowledged for being a major loading hazard for horizontally-extending structures like transmission line systems. With these structures being inherently flexible, it is important to characterize the turbulence associated with the wind flow of downburst events being essential to quantify dynamic excitations on structures. Accordingly, the current study numerically characterizes the downburst wind field of open terrain simulated at the Wind Engineering, Energy and Environment (WindEEE) dome testing facility at The University of Western Ontario in Canada through a high-resolution large eddy simulation (LES). The study validates the numerical simulation considering both the mean and the turbulent components of the flow. It then provides a detailed visual description of the flow at WindEEE through the capabilities enabled by LES to identify the key factors affecting the flow. The study also presents the spatial distribution of turbulence intensities and length scales computed from the numerical model and compares them with previous values reported in the literature. The comparison shows the ability of the downburst simulated at WindEEE to reproduce turbulence characteristics similar to those reported from field measurements. The study also indicates that downburst turbulence is well-correlated circumferentially which imposes high correlated loads on horizontally-distributed structures such as transmission lines.
Ibrahim, Omar Mohamed Omar,Heniegal, Ashraf Mohamed,Ibrahim, Khamis Gamal,Agwa, Ibrahim Saad Techno-Press 2020 Advances in concrete construction Vol.10 No.5
This study investigated the effect of horizontal casting joints on the mechanical properties and structural behavior of sustainable self-compacting reinforced concrete beams (SCRCB). The experimental research consisted of two stages. The first stage used four types of concrete mixtures which were produced to indicate the effects of cement replaced with cement waste at 0%, 5%, 10%, and 15% by weight of cement content on fresh concrete properties of self-compacting concrete (SCC) such as, passing ability, filling ability, and segregation resistance. In addition, mechanical properties such as compressive, tensile, and flexural strength were also studied. The second stage selected the best mixture from the first stage and studied the effect of horizontal casting joints on the structural behavior of sustainable SCRCBs. The effect of horizontal casting joints on the mechanical properties and structural behavior were at the 25%, 50%, 75%, and 100% of sample height. Load deflection, failure mode, and theoretical analysis were studied. Results indicated that the incorporation of replacement with cement waste by 5% to 10% led to economic and environmental advantages, and the results were acceptable for fresh and mechanical properties. The results indicated that delaying the time for casting the second layer and increasing the cement waste in concrete mixtures had a great effect on the mechanical properties of SCC. The ultimate load capacity of horizontal casting joints reinforced concrete beams slightly decreased compared with the control beam. The maximum deflection of casting joint beams with 75% of samples height is similar with the control beam. The experimental results of reinforced concrete beams were substantially acceptable with the theoretical results. The failure modes obtained the best forced casting joint on the structural behavior at 50% height of casting in the beam.
Challenges and Opportunities for Niger's Economic Development: A Focus on Agriculture and Mining
Ibrahim Aïchatou(Ibrahim Aïchatou ),Ousmane Mariama(Ousmane Mariama ) 아시아사회과학학회 2023 Jornal of Asia Social Science Vol.10 No.1
This paper examines the challenges and opportunities for sustainable economic development in Niger, focusing on the agriculture and mining sectors. While agriculture is the mainstay of Niger's economy, it faces challenges such as climate change, low productivity, and lack of infrastructure. The mining sector has great potential, but also faces challenges related to regulation, environmental protection, and social impacts. The government has implemented policies and initiatives to support these sectors and promote sustainable development. The paper identifies key policy options, including revising regulations, improving infrastructure, promoting local content, and implementing social and environmental safeguards. To achieve sustainable and inclusive development, Niger needs to prioritize investments in human capital, social protection, and environmental sustainability, while also promoting private sector engagement and regional integration.
Precepitation and purification of amylase enzyme produced by streptomyces aureofaciens 77
Ibrahim, A.N.,Ahmed, F.H.,Ibrahim, M.M.K.,Arafa, M.A.I. The Pharmaceutical Society of Korea 1990 Archives of Pharmacal Research Vol.13 No.1
Precipitation and purification of amylase secreted by Streptomyces aureofaciens 77 in liquid inorganic salts-starch medium under the optimum conditions were carried out. Ammonium sulphate fractionation was used to precipitate amylase in cell free culture filtrate. (NH/sub 4/)/sub 2/ SO/sub 4/ at a concentration of 50-70% saturation gave the highest enzyme yield. The obtained precipitates were redissolved in phosphate buffer (pH 7.0) and subjected to dialysis. The dialyzed enzyme preparation was applied to DEAE-cellulose column chromatography which resulted in an increase of purification up to 59.48 fold. A further step of purification was done by applying the obtained purified sample to Sephadex-G200 column chromatography which resulted in ann increase of purification up to 73. 92 fold. The results clearly indicated that the isolated amylase from S. aureofaciens 77 was only on type.
AIMS: AI based Mental Healthcare System
Ibrahim Alrashide,Hussain Alkhalifah,Abdul-Aziz Al-Momen,Ibrahim Alali,Ghazy Alshaikh,Atta-ur Rahman,Ashraf Saadeldeen,Khalid Aloup International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.12
In this era of information and communication technology (ICT), tremendous improvements have been witnessed in our daily lives. The impact of these technologies is subjective and negative or positive. For instance, ICT has brought a lot of ease and versatility in our lifestyles, on the other hand, its excessive use brings around issues related to physical and mental health etc. In this study, we are bridging these both aspects by proposing the idea of AI based mental healthcare (AIMS). In this regard, we aim to provide a platform where the patient can register to the system and take consultancy by providing their assessment by means of a chatbot. The chatbot will send the gathered information to the machine learning block. The machine learning model is already trained and predicts whether the patient needs a treatment by classifying him/her based on the assessment. This information is provided to the mental health practitioner (doctor, psychologist, psychiatrist, or therapist) as clinical decision support. Eventually, the practitioner will provide his/her suggestions to the patient via the proposed system. Additionally, the proposed system prioritizes care, support, privacy, and patient autonomy, all while using a friendly chatbot interface. By using technology like natural language processing and machine learning, the system can predict a patient's condition and recommend the right professional for further help, including in-person appointments if necessary. This not only raises awareness about mental health but also makes it easier for patients to start therapy.