50 research outputs found

    Multi-keyword Ranked Search over Encrypted Cloud Data Using RSA Algorithm

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    Ever since Cloud computing introduced, data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy, sensitive data have to be encrypted before outsourcing, which obsoletes traditional data utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of paramount importance. Considering the large number of data users and documents in the cloud, it is necessary to allow multiple keywords in the search request and return documents in the order of their relevance to these keywords. Related works on searchable encryption focus on single keyword search or Boolean keyword search, and rarely sort the search results. In this paper, for the first time, we define and solve the challenging problem of privacy-preserving multi-keyword ranked search over encrypted data in cloud computing (MRSE). We establish a set of strict privacy requirements for such a secure cloud data utilization system. Among various multi-keyword semantics, we choose the efficient similarity measure of “coordinate matching,” i.e., as many matches as possible, to capture the relevance of data documents to the search query. We further use “inner product similarity” to quantitatively evaluate such similarity measure. We first propose a basic idea for the MRSE based on secure inner product computation, and then give two significantly improved MRSE schemes to achieve various stringent privacy requirements in two different threat models. To improve search experience of the data search service, we further extend these two schemes to support more search semantics. Thorough analysis investigating privacy and efficiency guarantees of proposed schemes is given. Experiments on the real-world data set further show proposed schemes indeed introduce low overhead on computation and communication

    The Prevalence of Pain in Patients Attending Sarcoma Outpatient Clinics

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    The prevalence of pain in patients with sarcoma is not well documented. We investigated this in outpatients at a tertiary cancer referral centre, assessing the adequacy of pain control and for risk factors leading to higher prevalence and severity of pain. 149 patients were surveyed. Patients with pain within the previous 7 days completed pain assessment tools (BPI, S-LANSS, PMI). 53% of patients had pain within the previous 7 days, and 25% had significant pain. Of those with pain, 63% was inadequately controlled and neuropathic pain was identified in 36%. Age, gender, tumour type, and the type of cancer treatment were not significant predictors of the prevalence or severity of the pain. Based on our results, patients with sarcoma should be actively screened for pain and have regular reviews of their analgesic requirements

    Modeling COVID-19 antivirals with Computer Aided Drug Design in conjunction with the COVID Moonshot project

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    In late 2019 to early 2020, SARS-CoV-2 emerged and caused the 2019-novel-coronavirus (COVID-19) to transmit throughout the globe in a short period of time. Due to the sudden emergence of the virus, specific antiviral drugs are still in the process of being manufactured, which could be necessary for treating COVID-19 patients. To accelerate the development of antiviral drugs, the COVID Moonshot, a crowdsourced drug-discovery model, provides fragments that can be used to inspire compounds to be submitted to and synthesized by the COVID Moonshot team. Using SeeSAR, a computer aided drug design software, the x0669 fragment was chosen from the COVID Moonshot project and grown over the course of multiple weeks into several compounds. Ten of those compounds showed high affinity and beneficial properties and were submitted to the project, which will be tested for their usability as a part of future COVID-19 antiviral drugs

    Synthesis of Fenarimol Derivatives as Potential Treatments for Mycetoma

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    Antifungal therapy against eumycetoma, the fungal form of the infectious disease known as Mycetoma, has shown to be less than 27% effective, leading to the need for amputations and frequent surgeries. To find methods to control the predominant causative agent, Madurella mycetomatis, the crowdsourced MycetOS project was created with the intention of taking advantage of online communication between researchers. In particular, a fenarimol analog was found to be one of the most potent compounds active in vitro. Our goal was to synthesize derivatives of this lead compound so that partnering researchers through MycetOS would be able to test their potential and effectiveness in treating Mycetoma. This project has successfully synthesized compounds to be tested for their usability

    Antioxidant, Biomolecule Oxidation Protective Activities of Nardostachys jatamansi DC and Its Phytochemical Analysis by RP-HPLC and GC-MS

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    The study aimed at analyzing the metabolite profile of Nardostachys jatamansi using RP-HPLC, GC-MS and also its antioxidant, biomolecule protective and cytoprotective properties. The 70% ethanolic extract of Nardostachys jatamansi (NJE) showed the presence of polyphenols and flavonoids (gallic acid, catechin, chlorogenic acid, homovanillin, epicatechin, rutin hydrate and quercetin-3-rhamnoside) analyzed by RP-HPLC, whereas hexane extract revealed an array of metabolites (fatty acids, sesquiterpenes, alkane hydrocarbons and esters) by GC-MS analysis. The antioxidant assays showed the enhanced potency of NJE with a half maximal inhibitory concentration (IC50) value of 222.22 ± 7.4 μg/mL for 2,2-diphenyl-1-picrylhydrazyl (DPPH), 13.90 ± 0.5 μg/mL for 2,2′-azino-bis(3-ethyl benzothiazoline-6-sulfonic acid) diammonium salt (ABTS), 113.81 ± 4.2 μg/mL for superoxide, 948 ± 21.1 μg/mL for metal chelating and 12.3 ± 0.43 mg FeSO4 equivalent/g of extract for ferric reducing antioxidant power assays and was more potent than hexane extract. NJE effectively inhibited 2,2′-azobis(2-methylpropionamidine) dihydrochloride (AAPH)-induced oxidation of biomolecules analyzed by pBR322 plasmid DNA damage, protein oxidation of bovine serum albumin and lipid peroxidation assays. The observed effects might be due to the high content of polyphenols, 53.06 ± 2.2 mg gallic acid equivalents/g, and flavonoids, 25.303 ± 0.9 mg catechin equivalents/g, of NJE compared to the hexane fraction. Additionally, the extract abrogated the protein, carbonyl, and ROS formation, and NJE showed cytotoxicity in SH-SY5Y neuronal cells above 75 μg/mL. Thus, the study suggests that the herb unequivocally is a potential source of antioxidants and could aid in alleviating oxidative stress-mediated disorders

    Chemical Composition of Asparagus racemosus Root by GC–MS Analysis

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    Asparagus racemosus (Asparagaceae) commonly called Shatavari in India is a wellknown plant for its effects on the female reproductive system and more often used totreat gastrointestinal disorders in Australia. The aim of the present study was to analyzethe chemical composition of the roots of Asparagus racemosus by GC–MS method. Theroots were washed, shade dried, powdered and stored in air tight container. The driedpowdered material was extracted with hexane. 200g of powder was immersed in hexanesolution in a flat bottom flask. The extract was concentrated under controlled pressureand temperature using rotary flash evaporator. The yield of the hexane extract wasrecorded as 14g. The GC–MS analysis of Asparagus racemosus roots hexane extract(AHE) showed the presence of 21 different chemical components such as Disulfide, bis(1methylpropyl), Benzene, 1,3-bis(1,1 dimethylethyl), (E)-Hex-3-enyl (E)-2-methylbut-2-enoate, Jatamansone, n-Pentadecylcyclohexane, Eicosane, Squalene and Heptacosan

    Biochemical and Metabolomics on Rice Cultivars

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    Plant metabolites are important for both plant life and human nutrition. However, the genetic control of plant metabolome remains largely unknown. Here, we performed a genetic analysis of the different rice metabolome and isozymes which are highly versatile and non-destructive as bio-markers. Five isozymes peroxidase, catalase, malate dehydrogenase, alcohol dehydrogenase (ADH), polyphenol oxidase were studied to characterize the thirty rice cultivars and two hybrids KRH-2 and KRH-4 along with their parental lines. Among the zymograms, ADH was found to be useful for the detection of cultivars, like CTH1, IR64, IR30864, with an Rm value of 0.549. The metabolomics of rice cultivars by using gas chromatography coupled with mass spectrometry instrument with selected reaction monitoring mode software identified the 66 metabolites in the rice samples, including amino, organic, fatty acids, alcohols and sugars (mono-/dis-accharides). All metabolites investigated varied significantly among rice samples. Jaya had the higher number of metabolites (15) with a peak for each metabolite, followed by Jyothi (13). This study demonstrated a powerful tool and provided a high-quality data for understanding the plant metabolome and isozymes, which may help bridge the gap between the genome and phenome. Keywords: gas chromatography, mass spectrometry, isozyme, spectroscopy, metabolomics, ric

    The Pressure Alarm

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    Many people in our modern day society face the reoccurring issue of waking up multiple times throughout the morning either by setting multiple alarms, snoozing an already set alarm, or by not getting out of bed. This process, also known as sleep fragmentation, has countless negative effects on a person’s life. These effects include disrupting your sleep inertia, feelings of grogginess, and general discontent throughout the day. If persistent, sleep fragmentation can lead to health issues including obesity, depression, and heart disease. The Pressure Alarm is an alarm that solves this problem by requiring the user to get out of his/her bed and stay out of it for an extended period of time. This prevents further sleep because the user audibly hears the alarm in bed and is required to perform physical activity which will wake them up. Alongside of this, the user cannot go back to bed without hearing the alarm once more, keeping the user awake and ready for their day
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