51 research outputs found

    Copper Removal from Synthetic Water by Using Rice Husk Activated Carbon

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    One of the most efficient ways of replacing the existing traditional technique is the application of low-cost adsorbent. Rice husk (RH) is an abundant and inexpensive material and can be processed for various applications into activated carbon (AC). In the past couple of years, AC has also been used as an adsorbent. In addition, AC has wider used, such as removing water and wastewater from different contaminants. In this analysis, the raw rice husk for removing copper from synthetic water is treated and modified as activated carbon for copper (II). Using alkaline sodium hydroxide solution, NaOH, which has a different adsorbent dosage, rice husk was prepared. The parameters to be tested before and after the absorption process are pH, turbidity, total suspended solid, and dissolved oxygen (DO) of the synthetic water. The result obtained indicates that different dosages of adsorbent have different effects on the consistency of the water. The adsorbent dose used was 0.6g, 1.6g, 2.6g, 3.6g, and 4.6g, respectively. In short, an effort has been made on using rice husk as an adsorbent, as the major parts of the adsorbent were lignin and silica, which encouraged the adsorption process. Based on the previous rice husk activated carbon results, this has been verified that the activated carbon intensity will extract copper from the water sample

    F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes

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    With the advent of smart health, smart cities, and smart grids, the amount of data has grown swiftly. When the collected data is published for valuable information mining, privacy turns out to be a key matter due to the presence of sensitive information. Such sensitive information comprises either a single sensitive attribute (an individual has only one sensitive attribute) or multiple sensitive attributes (an individual can have multiple sensitive attributes). Anonymization of data sets with multiple sensitive attributes presents some unique problems due to the correlation among these attributes. Artificial intelligence techniques can help the data publishers in anonymizing such data. To the best of our knowledge, no fuzzy logic-based privacy model has been proposed until now for privacy preservation of multiple sensitive attributes. In this paper, we propose a novel privacy preserving model F-Classify that uses fuzzy logic for the classification of quasi-identifier and multiple sensitive attributes. Classes are defined based on defined rules, and every tuple is assigned to its class according to attribute value. The working of the F-Classify Algorithm is also verified using HLPN. A wide range of experiments on healthcare data sets acknowledged that F-Classify surpasses its counterparts in terms of privacy and utility. Being based on artificial intelligence, it has a lower execution time than other approaches

    Renovascular hypertension: factors affecting the outcome following surgical revascularisation

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    This study was conducted at the Aga Khan University Hospital, Karachi, Pakistan to evaluate factors that affect outcome following revascularisation in patients with renovascular hypertension. We included all the patients diagnosed to have renovascular hypertension, confirmed by renal angiography, between July 1997 and September 2000. Of the total 15 patients, nine were males and six were females. Eleven patients received venous grafts, three received polytetraflouroethyline (PTFE) grafts while one patient underwent angioplasty and stenting. All were followed-up for a period of nine months (median) with the range from 2 to 84 months. A total of 33.3% of the study patients were completely cured, as they became normotensive without anti-hypertensive therapy after operation, while 27% showed marked improvement in blood pressure control post-operatively. Thus, extended cure or improvement of renovascular hypertension was achieved in 60% of patients. Normal pre-operative serum creatinine level, high pre-operative unstimulated peripheral renin levels and renal vein renin ratio of at least 1.75:1 were the most significant predictive factors for favorable outcome (p \u3c 0.012). The pre-operative severity and duration of hypertension as well as degree of disparity in kidney sizes did not predict the post-operative improvement in renal function and blood pressure control

    Pre-operative renal function and selective renal vein rennin levels as markers of favourable outcome in renovascular hypertension

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    Objective: To evaluate factors that affect outcome following revascularization in patients with renovascular hypertension. Methods: This study was conducted at the Aga Khan University Hospital. It included all the patients diagnosed to have Renovascular hypertension confirmed by renal angiography between July 1996 to September 2000. Using ANOVA (Analysis of variance) and paired-sample t-test, several preoperative factors were evaluated for their ability to predict postoperative improvement of blood pressure and renalfunction. For descriptive purpose patients were divided into cured, improved and failure groups. Results: Of the total 15 patients, 9 were males and 6 were females. Before the surgical procedure, 13 patients were on 3 or more antihypertensive drugs. Eleven patients received vein grafts, three patients had PTFE (polytetraflouroethyline) grafts while one patient underwent angioplasty and stenting. The patients had a median follow-up period of nine months with a range of 2 to 84 months. Five were completely cured, as they became normotensive without antihypertensive therapy after operation, whereas four showed marked improvement in BP control postoperatively, requiring two antihypertensive drugs. Six patients showed no improvement requiring 3 or more drugs. Extended cure or improvement of renovascular hypertension was achieved in nine patients. Normal preoperative serum creatinine level, high preoperative unstimulated peripheral renin levels and renal vein renin ratio of at least 1.75:1 were the most significant predictive factors for favorable outcome. Conclusion: This study confirms the long term effectiveness and safety of renovascular reconstruction in the relief of severe hypertension. The results further suggest that normal preoperative renal function, high renal vein renin ratio and high preoperative unstimulated peripheral renin levels are associated with the most favourable postoperative outcome (p \u3c0.01). Preoperative severity and duration of hypertension and degree of disparity in kidney sizes do not affect the overall results in terms of postoperative improvement in renal function and blood pressure control (p=0.734)

    Personality predictive analysis based on artificial neural network

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    Individual personality is a vital criterion in a human life as well as in a development of an organization. Every individual holds a different personality type with various characteristics in terms of thinking, feeling, and behaving. Due to that matter, analyzing human personality should be done carefully which can be challenging and time consuming. Therefore, this study presents a personality prediction model based on Artificial Neural Network (ANN). The prediction was realized on the Big Five personality model. The dataset consists of 709 rows and retrieved from open-source website called Kaggle. For training, validation and testing phases, the dataset was divided into 70:15:15 respectively. Findings of the study demonstrated the capability of ANN in producing better accuracy compared to three identified algorithms which includes Naïve Bayes, ZeroR and Random Forest

    Newcastle disease virus induces testicular damage and disrupts steroidogenesis in specific pathogen free roosters

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    Newcastle disease (ND), which is caused by Newcastle disease virus (NDV), can cause heavy economic losses to the poultry industry worldwide. It is characterised by extensive pathologies of the digestive, respiratory, and nervous systems and can cause severe damage to the reproductive system of egg-laying hens. However, it is unknown whether NDV replicates in the male reproductive system of chickens and induces any pathologies. In this study, we selected a representative strain (i.e. ZJ1) of the most common genotype (i.e. VII) of NDV to investigate whether NDV can induce histological, hormonal, and inflammatory responses in the testes of specific pathogen free (SPF) roosters. NDV infection increased the expression of toll like receptor TLR3, TLR7, MDA5, IFN-α, IFN-β, IFN-γ, IL-8, and CXCLi1 in the testes of NDV-infected roosters at 5 days post-infection (dpi). Severe histological changes, including decrease in the number of Sertoli cells and individualized, shrunken spermatogonia with pyknotic nuclei, were observed at 3 dpi. At 5 dpi, the spermatogenic columns were disorganized, and there were fewer cells, which were replaced by necrotic cells, lipid vacuoles, and proteinaceous homogenous material. A significant decrease in the plasma concentrations of testosterone and luteinizing hormone (LH) and the mRNA expression of their receptors in the testes, steroidogenic acute regulatory protein, cytochrome P450 side-chain cleavage enzyme, and 3β-hydroxysteroid dehydrogenase in the NDV-infected group was observed relative to those in the control group (P < 0.05). Collectively, these results indicate that NDV infection induces a severe inflammatory response and histological changes, which decrease the steroidogenesis. © 2020 The Author(s)

    Antibiotic consumption at community pharmacies : a multicenter repeated prevalence surveillance using WHO methodology

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    Background: Antibiotics are losing their effectiveness because of the rapid emergence of resistant bacteria. Unnecessary antimicrobial use increases antimicrobial resistance (AMR). There are currently no published data on antibiotic consumption in Pakistan at the community level. This is a concern given high levels of self-purchasing of antibiotics in Pakistan and variable knowledge regarding antibiotics and AMR among physicians and pharmacists. Objective: The objective of this repeated prevalence survey was to assess the pattern of antibiotic consumption data among different community pharmacies to provide a baseline for developing future pertinent initiatives. Methods: A multicenter repeated prevalence survey conducted among community pharmacies in Lahore, a metropolitan city with a population of approximately 10 million people, from October to December 2017 using the World Health Organization (WHO) methodology for a global program on surveillance of antimicrobial consumption. Results: The total number of defined daily doses (DDDs) dispensed per patient ranged from 0.1 to 50.0. In most cases, two DDDs per patient were dispensed from pharmacies. Co-amoxiclav was the most commonly dispensed antibiotic with a total number of DDDs at 1018.15. Co-amoxiclav was followed by ciprofloxacin with a total number of 486.6 DDDs and azithromycin with a total number of 472.66 DDDs. The least consumed antibiotics were cefadroxil, cefotaxime, amikacin, and ofloxacin, with overall consumption highest in December. Conclusion: The study indicated high antibiotic usage among community pharmacies in Lahore, Pakistan particularly broad-spectrum antibiotics, which were mostly dispensed inappropriately. The National action plan of Pakistan on AMR should be implemented by policymakers including restrictions on the dispensing of antimicrobials

    Familial hypercholesterolaemia in children and adolescents from 48 countries: a cross-sectional study

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    Background: Approximately 450 000 children are born with familial hypercholesterolaemia worldwide every year, yet only 2·1% of adults with familial hypercholesterolaemia were diagnosed before age 18 years via current diagnostic approaches, which are derived from observations in adults. We aimed to characterise children and adolescents with heterozygous familial hypercholesterolaemia (HeFH) and understand current approaches to the identification and management of familial hypercholesterolaemia to inform future public health strategies. Methods: For this cross-sectional study, we assessed children and adolescents younger than 18 years with a clinical or genetic diagnosis of HeFH at the time of entry into the Familial Hypercholesterolaemia Studies Collaboration (FHSC) registry between Oct 1, 2015, and Jan 31, 2021. Data in the registry were collected from 55 regional or national registries in 48 countries. Diagnoses relying on self-reported history of familial hypercholesterolaemia and suspected secondary hypercholesterolaemia were excluded from the registry; people with untreated LDL cholesterol (LDL-C) of at least 13·0 mmol/L were excluded from this study. Data were assessed overall and by WHO region, World Bank country income status, age, diagnostic criteria, and index-case status. The main outcome of this study was to assess current identification and management of children and adolescents with familial hypercholesterolaemia. Findings: Of 63 093 individuals in the FHSC registry, 11 848 (18·8%) were children or adolescents younger than 18 years with HeFH and were included in this study; 5756 (50·2%) of 11 476 included individuals were female and 5720 (49·8%) were male. Sex data were missing for 372 (3·1%) of 11 848 individuals. Median age at registry entry was 9·6 years (IQR 5·8-13·2). 10 099 (89·9%) of 11 235 included individuals had a final genetically confirmed diagnosis of familial hypercholesterolaemia and 1136 (10·1%) had a clinical diagnosis. Genetically confirmed diagnosis data or clinical diagnosis data were missing for 613 (5·2%) of 11 848 individuals. Genetic diagnosis was more common in children and adolescents from high-income countries (9427 [92·4%] of 10 202) than in children and adolescents from non-high-income countries (199 [48·0%] of 415). 3414 (31·6%) of 10 804 children or adolescents were index cases. Familial-hypercholesterolaemia-related physical signs, cardiovascular risk factors, and cardiovascular disease were uncommon, but were more common in non-high-income countries. 7557 (72·4%) of 10 428 included children or adolescents were not taking lipid-lowering medication (LLM) and had a median LDL-C of 5·00 mmol/L (IQR 4·05-6·08). Compared with genetic diagnosis, the use of unadapted clinical criteria intended for use in adults and reliant on more extreme phenotypes could result in 50-75% of children and adolescents with familial hypercholesterolaemia not being identified. Interpretation: Clinical characteristics observed in adults with familial hypercholesterolaemia are uncommon in children and adolescents with familial hypercholesterolaemia, hence detection in this age group relies on measurement of LDL-C and genetic confirmation. Where genetic testing is unavailable, increased availability and use of LDL-C measurements in the first few years of life could help reduce the current gap between prevalence and detection, enabling increased use of combination LLM to reach recommended LDL-C targets early in life
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