Search results for: Fathima Shahitha

Authors: Fathima Shahitha, Alqasim Al-Mamari, Mohammed Al-Sibani, Ahmed Al Harrasi

Abstract:

The aim of this study is to prepare a novel antibacterial wound healing hydrogel based on hydroxyethyl cellulose/ Sodium alginate/ hyaluronic acid (HEC/SA/HA) and Ag nanoparticles, which is cross-linked via Ca2+ ions. The aim of the study is to obtain a hydrogel compound using green chemistry that helps to heal the wound faster and better. The properties and structure of the hydrogel have been tested to include swelling ratio, vitro degradation, antibacterial and antifungal activity and wound healing tests. It was also characterized via UV-Vis, FTIR, TEM, TGA and tested after it was fabricated by freeze-drying technique. The characteristic peak of UV-Vis spectra revealed the formation of AgNPs in the compound at 411 nm. The FTIR curves showed new peaks that confirmed the oxidation of HEC and also showed the chemical interaction of the three polymers with AgNPs and Ca2+. The TEM images presented monodispersed of AgNPs with their size ranging ( 8.2 to 32 nm ). The results from these studies showed that the hydrogel has an excellent performance in swelling ratio and vitro degradation. Furthermore, the wound healing activity of the hydrogel was examined via measuring the closure of wound and the second group treated with hydrogel revealed a significant healing activity compared to the control group. The hydrogel activity against bacteria and fungi was also measures for 72 h and the results showed excellent performance. These results suggested that the cross-linked hydrogel based on (HEC/HA/SA) with AgNPs might be a promising dressing for wounds.

Keywords: hydrogels, wound healing, hydroxyethyl cellulose, sodium alginate, Ca2+ cross-linking, hyaluronic acid

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Authors: Shaik Ayesha Fathima, Shaik Noor Jahan, Duvvada Rajeswara Rao

Abstract:

Earth's environment and its evolution can be seen through satellite images in near real-time. Through satellite imagery, remote sensing data provide crucial information that can be used for a variety of applications, including image fusion, change detection, land cover classification, agriculture, mining, disaster mitigation, and monitoring climate change. The objective of this project is to propose a method for classifying satellite images according to multiple predefined land cover classes. The proposed approach involves collecting data in image format. The data is then pre-processed using data pre-processing techniques. The processed data is fed into the proposed algorithm and the obtained result is analyzed. Some of the algorithms used in satellite imagery classification are U-Net, Random Forest, Deep Labv3, CNN, ANN, Resnet etc. In this project, we are using the DeepLabv3 (Atrous convolution) algorithm for land cover classification. The dataset used is the deep globe land cover classification dataset. DeepLabv3 is a semantic segmentation system that uses atrous convolution to capture multi-scale context by adopting multiple atrous rates in cascade or in parallel to determine the scale of segments.

Keywords: area calculation, atrous convolution, deep globe land cover classification, deepLabv3, land cover classification, resnet 50

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Authors: A: Annis Fathima, V. Vaidehi, S. Ajitha

Abstract:

Face recognition system finds many applications in surveillance and human computer interaction systems. As the applications using face recognition systems are of much importance and demand more accuracy, more robustness in the face recognition system is expected with less computation time. In this paper, a hybrid approach for face recognition combining Gabor Wavelet and Linear Discriminant Analysis (HGWLDA) is proposed. The normalized input grayscale image is approximated and reduced in dimension to lower the processing overhead for Gabor filters. This image is convolved with bank of Gabor filters with varying scales and orientations. LDA, a subspace analysis techniques are used to reduce the intra-class space and maximize the inter-class space. The techniques used are 2-dimensional Linear Discriminant Analysis (2D-LDA), 2-dimensional bidirectional LDA ((2D)2LDA), Weighted 2-dimensional bidirectional Linear Discriminant Analysis (Wt (2D)2 LDA). LDA reduces the feature dimension by extracting the features with greater variance. k-Nearest Neighbour (k-NN) classifier is used to classify and recognize the test image by comparing its feature with each of the training set features. The HGWLDA approach is robust against illumination conditions as the Gabor features are illumination invariant. This approach also aims at a better recognition rate using less number of features for varying expressions. The performance of the proposed HGWLDA approaches is evaluated using AT&T database, MIT-India face database and faces94 database. It is found that the proposed HGWLDA approach provides better results than the existing Gabor approach.

Keywords: face recognition, Gabor wavelet, LDA, k-NN classifier

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Authors: Fathima M. A., Milu Maria Anto

Abstract:

Aim: The current study aims to explore the understanding about Mental Health and the likelihood to seek help for mental health problems among adolescents in the state of Kerala (India). Method: A cross sectional exploratory design was used. Samples were selected using convenience sampling. Ninety nine high school and higher secondary school students who had enrolled in the program “Responsible Adolescents (READ)” organized by MKMS Education from Kerala participated in this study. The data for the present study was collected using google forms prior to the commencement of the READ programme. Open-ended questions were used to explore the understanding of participants about mental health, mental health problems, causes of mental health problems and the role of mental health professionals. The likelihood to seek help (from friends, parents, teachers and mental health professionals) for mental health problems was assessed using a visual analogue scale. Further open-ended questions were used to identify what changes in teachers and parents will make them feel more comfortable to approach them when they need help. Content analysis was used to identify themes and coded data was further analyzed using correlation. Results: The results show that students have a fair idea about what Mental Health is. Even though the majority is familiar with the names of mental health disorders, relatively fewer students identify it as irregularity in mental functions such as thoughts, emotions and behaviors. The students tend to attribute symptoms of mental health problems as the cause of mental health problems. Very few students have the understanding that biological variations and adverse childhood experiences are primary causes for the development of mental health problems. Less than half of the students were aware of the role of psychiatrists and psychologists in mental health treatment. The students were more likely to seek help from parents and friends during distress. They had a medium inclination to seek help from mental health professionals and showed even lower likelihood to seek help from teachers. The majority of the students responded that they would be more comfortable approaching teachers if they were more open-minded and approachable as well as non-judgmental and non-dismissive. Conclusion: Findings show that there is inadequate awareness among adolescents about mental health problems and their causes. There is a lack of understanding about the roles of two main mental health professionals which can pose a big hurdle in accessing adequate help from the appropriate professional at the right time. The low likelihood to seek help from teachers for mental health problems is very concerning. The major barriers reported by the students in seeking help from teachers were the judgmental and dismissive approach. The findings throw light on the current level of awareness about mental health and mental health help-seeking, which can be utilized in framing mental health awareness programs for students as well as teachers.

Keywords: Mental Health Awareness, Adolescent Mental Health, Help Seeking Behavior, School Mental Health

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Authors: Mohammed Fathima Shahanaaz, Shaik Fayazuddin, M. Uday Kiran

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Groundwater quality is deteriorating day by day in different parts of the world due to various reasons, toxic chemicals are being discharged without proper treatment into inland water bodies and land which in turn add pollutants to the groundwater. In this kind of situation, the rural communities which do not have municipal drinking water have to rely on groundwater though it is polluted for various uses. Tannery industry is one of the major industry which provides economy and employment to India. Since most of the developed countries stopped using chemicals which are toxic, the tanning industry which uses chromium as its major element are being shifted towards developing countries. Most of the tanning industries in India can be found in clusters concentrated mainly in states of Tamilnadu, West Bengal, Uttar Pradesh and limited places of Punjab. Limited work is present in the case of tanneries of Warangal. There exists 18 group of tanneries in Desaipet, Enamamula region of Warangal, out of which 4 are involved in dry process and are low responsible for groundwater pollution. These units of tanneries are discharging their effluents after treatment into Sai Cheruvu. Though the treatment effluents are being discharged, the Sai Cheruvu is turned in to Pink colour, with higher levels of BOD, COD, chromium, chlorides, total hardness, TDS and sulphates. An attempt was made to analyse the groundwater samples around this polluted Sai Cheruvu region since literature shows that a single tannery can pollute groundwater to a radius of 7-8 kms from the point of disposal. Sample are collected from 6 different locations around Sai Cheruvu. Analysis was performed for determining various constituents in groundwater such as pH, EC, TDS, TH, Ca+2, Mg+2, HCO3-, Na+, K+, Cl-, SO42-, NO3-, F and Cr+6. The analysis of these constitutes gave values greater than permissible limits. Even chromium is also present in groundwater samples which is exceeding permissible limits People in Paidepally and Sardharpeta villages already stopped the usage of groundwater. They are buying bottle water for drinking purpose. Though they are not using groundwater for drinking purpose complaints are made about using this water for washing also. So treatment process should be adopted for groundwater which should be simple and efficient. In this study rice husk silica (RHS) is used to treat pollutants in groundwater with varying dosages of RHS and contact time. Rice husk is treated, dried and place in a muffle furnace for 6 hours at 650°C. Reduction is observed in total hardness, chlorides and chromium levels are observed after the application RHS. Pollutants reached permissible limits for 27.5mg/l and 50 mg/l of dosage for a contact time of 130 min at constant pH and temperature.

Keywords: chromium, groundwater, rice husk silica, tanning industries

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Authors: Sadia Munir, Diana White, Aya Albahri, Pratiwi Hastania, Eltahir Mohamed, Mahmood Khan, Fathima Mohamed, Ayat Kadhi, Haila Saleem

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Preeclampsia is a major complication of pregnancy. Prediction and management of preeclampsia is a challenge for obstetricians. To our knowledge, no major progress has been achieved in the prevention and early detection of preeclampsia. There is very little known about the clear treatment path of this disorder. Preeclampsia puts both mother and baby at risk of several short term- and long term-health problems later in life. There is huge health service cost burden in the health care system associated with preeclampsia and its complications. Preeclampsia is divided into two different types. Early onset preeclampsia develops before 34 weeks of gestation, and late onset develops at or after 34 weeks of gestation. Different genetic and environmental factors, prognosis, heritability, biochemical and clinical features are associated with early and late onset preeclampsia. Prevalence of preeclampsia greatly varies all over the world and is dependent on ethnicity of the population and geographic region. To authors best knowledge, no published data on preeclampsia exist in Qatar. In this study, we are reporting the incidence of preeclampsia in Qatar. The purpose of this study is to compare the incidence and risk factors of both early onset and late onset preeclampsia in Qatar. This retrospective longitudinal cohort study was conducted using data from the hospital record of Women’s Hospital, Hamad Medical Corporation (HMC), from May 2014-May 2016. Data collection tool, which was approved by HMC, was a researcher made extraction sheet that included information such as blood pressure during admission, socio demographic characteristics, delivery mode, and new born details. A total of 1929 patients’ files were identified by the hospital information management when they apply codes of preeclampsia. Out of 1929 files, 878 had significant gestational hypertension without proteinuria, 365 had preeclampsia, 364 had severe preeclampsia, and 188 had preexisting hypertension with superimposed proteinuria. In this study, 78% of the data was obtained by hospital electronic system (Cerner) and the remaining 22% was from patient’s paper records. We have gone through detail data extraction from 560 files. Initial data analysis has revealed that 15.02% of pregnancies were complicated with preeclampsia from May 2014-May 2016. We have analyzed difference in the two different disease entities in the ethnicity, maternal age, severity of hypertension, mode of delivery and infant birth weight. We have identified promising differences in the risk factors of early onset and late onset preeclampsia. The data from clinical findings of preeclampsia will contribute to increased knowledge about two different disease entities, their etiology, and similarities/differences. The findings of this study can also be used in predicting health challenges, improving health care system, setting up guidelines, and providing the best care for women suffering from preeclampsia.

Keywords: preeclampsia, incidence, risk factors, maternal

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