• Korean Membrane Journal
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• v.1 no.1
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• pp.50-58
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• 1999

Symmetric asymmetric and composite perfluoropolymer membranes made with HYFLON AD have been prepared and evaluated. Porous and non porous symmetric membranes have been prepared by solvent evaporation with various processing conditions. Non-contact atomic force microscopy (AFM) was used to investigate the membrane morphology in air. Analysis of the images gave quantitative imformation on the surface pore strcture in particular on the pore size distributin. Possible useful uses of porous membranes are envisaged in the field of gas-liquid separations such as membrane contactors (MSc) Molecular Dynamics(MD) simulations structure of HYFLON AD 60X copolymer supporting these results are also reported. Amorphous perfluoropolymer membranes appears to be ideal other than in MCs when separation processes have to be performed in hostile environments i.e. high temperatures and aggressive non-aqueous media such as chemicals and solvents. In these cases HYFLON AD mem-branes can exploit the outstanding resistance of perfluoropolymers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.11
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• pp.2924-2944
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• 2023

Alzheimer's disease (AD) is a neurological condition that is recognized as one of the primary causes of memory loss. AD currently has no cure. Therefore, the need to develop an efficient model with high precision for timely detection of the disease is very essential. When AD is detected early, treatment would be most likely successful. The most often utilized indicators for AD identification are the Mini-mental state examination (MMSE), and the clinical dementia. However, the use of these indicators as ground truth marking could be imprecise for AD detection. Researchers have proposed several computer-aided frameworks and lately, the supervised model is mostly used. In this study, we propose a novel 3D Convolutional Neural Network Multilayer Perceptron (3D CNN-MLP) based model for AD classification. The model uses Attention Mechanism to automatically extract relevant features from Magnetic Resonance Images (MRI) to generate probability maps which serves as input for the MLP classifier. Three MRI scan categories were considered, thus AD dementia patients, Mild Cognitive Impairment patients (MCI), and Normal Control (NC) or healthy patients. The performance of the model is assessed by comparing basic CNN, VGG16, DenseNet models, and other state of the art works. The models were adjusted to fit the 3D images before the comparison was done. Our model exhibited excellent classification performance, with an accuracy of 91.27% for AD and NC, 80.85% for MCI and NC, and 87.34% for AD and MCI.

• Journal of Pharmacopuncture
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• v.23 no.3
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• pp.173-178
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• 2020

Objectives: Atopic dermatitis (AD) is a prevalent and chronic, pruritic inflammatory skin condition that can influence all age groups. AD is associated with a poor health-related quality of life. This randomized clinical trial was performed to compare the effectiveness of Olivederma (combination of aloe vera and virgin olive oil) or betamethasone regarding disease severity, quality of life, serum IgE and eosinophil count. Methods: Thirty-six AD patients were randomly allocated to topical Olivederma or betamethasone, and were followed for 6 weeks. Results: Total SCORAD severity scores showed significant decrease in both groups, while it was more prominent in Olivederma group (64.5% improvement in Olivederma vs. 13.5% improvement in Betamethasone, p-value < 0.001). Quality of life (DLQI questionnaire) of AD patients was significantly improved after 6 weeks treatment with Betamethasone (22.3%, p < 0.001) and Olivederma (60.7%, p-value < 0.001). Olivederma group showed a significantly lower DLQI score in comparison with Betamethasone treated patients after 6 weeks of therapy (p < 0.001). Improvements in eosinophil count and serum IgE was observed. Conclusion: In summary, this study shows that Olivederma is superior to topical Betamethasone after 6 weeks of therapy with regard to disease severity, quality of life and eosinophil count.

• Journal of Acupuncture Research
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• v.38 no.4
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• pp.293-299
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• 2021

Background: This study sought to determine whether the antioxidant effects of astaxanthin (AST) could have an anti-inflammatory effect to reduce inflammation caused by atopic dermatitis (AD). Methods: Using a mouse model of AD induced by phtalic acid (PA), the levels of inflammation, inflammatory agents, and evidence of antioxidant activity were examined in PA treated mice (n = 3), PA-AST treated mice (n = 3), and a control group of mice (n = 3). This included measurements of ear thickness, levels of mast cells, IgE, inflammatory cytokine, malondialdehyde (MDA), hydrogen peroxide, HO-1, and GPx-1. Results: AST treatment significantly prevented inflammation as measured by ear thickness (p < 0.05), mast cell count (p < 0.001), and IgE concentration in the blood (p < 0.001). Levels of TNF-α (p < 0.001), IL-1β (p < 0.001), IL-6 (p < 0.001), and MDA (p < 0.05) were also significantly lower. In addition, GSH levels increased significantly (p < 0.001), and the level of hydrogen peroxide significantly reduced (p < 0.01). The expression of HO-1, GPx-1 increased. Conclusion: In this small experimental study, AST acted on inflammatory mechanisms that induced AD, through anti-inflammatory and antioxidant mechanisms, and is a candidate of interest in the clinical treatment of AD.

• Journal of Pharmacopuncture
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• v.22 no.4
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• pp.231-238
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• 2019

Objectives: Alzheimer's disease (AD), an overwhelming neurodegenerative disease, has deleterious effects on the brain that consequently causes memory loss and language impairment. This study was intended to investigate the neuroprotective activity of the two essential oils (EOs) from Iranian Pistacia khinjuk (PK) leaves and Allium sativum (AS) cloves against β-Amyloid 25-35 (Aβ25-35) induced elevation of cholinesterase enzymes in AD. Methods: The EOs of PK (PKEO) and AS (ASEO) were prepared and analyzed in terms of extraction yield, phenolic content, and cholinergic markers in vitro. Moreover, both were administered orally to adult male Wistar rats at concentrations of 1, 2, and 3%. The inhibitory potential of PKEO and ASEO was compared with Donepezil (0.75 mg/kg) against the high activities of acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) enzymes. Results: PKEO reached an inhibition rate of 83.6% and 81.4% against AChE and BChE, respectively. ASEO had lower anti-cholinesterase activity (65.4% and 31.5% for the inhibition AChE and BChE). PKEO was found to have more phenolic content than ASEO. A significantly positive correlation was observed between the total phenolics and anti-cholinesterase potential. In rats, both EOs decreased the enzyme activity in a concentration-dependent manner. As compared with Donepezil, the significant difference in the AChE and BChE inhibition occurred as rats were treated with PKEO 3% (p < 0.05). Conclusion: It could be concluded that PKEO and ASEO are potent inhibitors of AChE and BChE in rats that hold promise to be used for the treatment of AD.

• Preventive Nutrition and Food Science
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• v.16 no.3
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• pp.248-252
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• 2011

Soy protein based formula (SPF) has been developed for infants who are at a high risk for atopic dermatitis (AD) and cow's milk protein allergy (CMA). We performed this study to evaluate the therapeutic efficacy and safety of SPF compared to conventional hydrolyzed cow's milk formula (hCMF) in the feeding of infants with AD and CMA. 38 infants (12 to 24 months of age) diagnosed with CMA and AD were randomized to receive either SPF or hCMF for 12 weeks. Follow-up was conducted at 4, 8 and 12 weeks. Growth parameters of the infants were evaluated during each visit. Clinical evaluations, including AD severity scores, pruritus, specific immunoglobulin E (IgE) (cow's milk protein and soy protein) levels of peripheral blood, were made at enrollment and week 12. Analysis was performed on the 32 infants (SPF: n=16, hCMF: n=16) who completed the 12-week intervention. Eczema area and severity index (EASI) scores, a measure of the severity of AD, and pruritus were significantly reduced after 12 weeks compared to enrollment in the both groups; however, the median changes for EASI scores and pruritus were not statistically different between the two groups. The growth parameters did not differ significantly between both groups at any assessed time point. This study suggests that SPF could be useful in decreasing the severity of AD without affecting infant growth status. Therefore SPF could provide an adequate and safe alternative to hCMF in treating infants with AD and CMA during the first 12 to 24 months of their life.

• Korean Journal of Biological Psychiatry
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• v.20 no.3
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• pp.104-110
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• 2013

Objectives : The aim of this study was to examine the prospective impact of the apolipoprotein E (APOE) ${\varepsilon}4$ on cognitive performance in the community-dwelling elderly individuals with Alzheimer's disease (AD). Methods : The total number of subjects was 30 (12 men and 18 women) who were diagnosed with AD from a Korean project of "Early Detection of Dementia". People aged 65-85 years were included in the analysis. The eight neuropsychological domains from the Korean version of Consortium to Establish a Registry of Alzheimer's Disease (CERAD-K) were conducted to test subjects. They have been followed at 24-month intervals with the same assessments at each interval. Their cognitive performance at 2 year intervals was compared by the occurrence of the APOE ${\varepsilon}4$. Results : The impact of ${\varepsilon}4$ allele was significant in the Word List Memory Test (WLMT, F = 4.345, df = 1, p = 0.021) and Word List Recall Test (WLRT, F = 5.569, df = 1, p = 0.033). Conclusions : The APOE ${\varepsilon}4$ allele was significantly correlated especially with verbal episodic memory domain in community-dwelling elders diagnosed with AD.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.8
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• pp.1110-1114
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• 2002

The animal production sector in Jordan is characterized by shortages of locally produced feedstuffs derived from rangeland, forage plants or from human food crops as by products. This is exacerbated by insufficient rainfall, overgrazing, early grazing and high stocking rate. Thus, subject to these constraints, other technological improvements are highly desirable to meet the needs of crop growth and animal production. Alternative adapted technologies are also desirable in order to meet the increased demand for red meat in relation to population growth along with the changes in the price subsidy for feedstuff. The technologies are those, which have been introduced to the animal production sector, obtained in agricultural research stations besides on-farm demonstrations. They include technologies suited for increasing birth and twining rates, synchronizing the mating period, introducing the early weaning method, and animal feed and sheep production. Economic assessments conducted in this study demonstrate promising results of hormonal and nutritional practices in improving production efficiency of Awassi sheep in Jordan. Jordanian published data between 1991 and 1998 were used. The examined practices were: 1) use of PMSG in estrus synchronization in ewes, 2) introduction of early lamb weaning program, 3) supplementation with $AD_3E$ for ewes and 4) the use of agro-industrial feed block as a feed supplement for grazing lambs. Production data were then subjected to partial budgeting for economical evaluation. The use of PMSG outperformed the control groups in fertility and net returns per ewe by US$ 8.36/ewe. The early weaning of lambs increased the net returns by US$ 3.90/lamb. The injection with vitamin $AD_3E$ showed an average additional net return of US$ 5.66/ewe. Feeding agriculture by-product blocks improved weight gain in the feed block groups and resulted in additional net returns of US$ 3.5/lamb. The economic viability and reproductive performance indicators demonstrate that efforts should be undertaken to disseminate these new practices in the development program.

• Smart Media Journal
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• v.12 no.3
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• pp.30-37
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• 2023

Alzheimer's disease (AD) symptoms are being treated by early diagnosis, where we can only slow the symptoms and research is still undergoing. In consideration, using T1-weighted images several classification models are proposed in Machine learning to identify AD. In this paper, we consider the improvised feature selection, to reduce the complexity by using wrapping techniques and Restricted Boltzmann Machine (RBM). This present work used the subcortical and cortical features of 278 subjects from the ADNI dataset to identify AD and sMRI. Multi-class classification is used for the experiment i.e., AD, EMCI, LMCI, HC. The proposed feature selection consists of Forward feature selection, Backward feature selection, and Combined PCA & RBM. Forward and backward feature selection methods use an iterative method starting being no features in the forward feature selection and backward feature selection with all features included in the technique. PCA is used to reduce the dimensions and RBM is used to select the best feature without interpreting the features. We have compared the three models with PCA to analysis. The following experiment shows that combined PCA &RBM, and backward feature selection give the best accuracy with respective classification model RF i.e., 88.65, 88.56% respectively.

• Asian Journal of Atmospheric Environment
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• v.4 no.2
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• pp.106-114
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• 2010

By the application of novel double detector system of micro-PIXE that can detect light elements (Z<14), we made an attempt to provide a thorough discussion on the aging processes of Asian dust (hereafter called "AD") particle by reaction with sea-slat. The elemental spectra and maps obtained from the microbeam radiation of micro-PIXE to individual AD particles were useful for fractionating AD particles into both internally and externally mixed particles. A spatial distribution of elements in a minute domain of single particle obtained by scanning the microbeam irradiation enabled us not only to estimate the chemical mixing state of individual AD particles but also to presume their aging processes in both ambient air and cloud. By calculating the normalized micro-PIXE net count of elements, it was possible to classify individual AD particles into three distinct groups (i.e., (1) Aging type 1: AD particle coated by the gaseous Cl evaporated by the reaction between artificial acids and sea salt; (2) Aging type 2: AD particle mixed with sea salt but no additional reaction with artificial acids; and (3) Non-aged type) A relatively high transformation rate (63.3-75.9%) was shown in large particles (greater than $5.1\;{\mu}m$ in diameter).