Ransomware and Academic International Medicine

Healthcare is among the leading industries targeted by cyber-criminals. Ransomware exploits vulnerabilities to hijack target information technology (IT) infrastructures for monetary gain. Due to the nature and value of information, access to medical information enables cyber-criminals to commit identity theft, medical fraud, and extortion, and illegally obtain controlled substances. The utility and versatility of medical information, extensive centralized storage of medical information, relatively weak IT security systems, and the expanding use of healthcare IT infrastructure all contribute to an increase in cyber-attacks on healthcare entities. Research suggests that an individual’s medical information is 20–50 times more valuable to cyber-criminals than personal financial information. As such, cyber-attacks targeting medical information are increasing 22% per year. This chapter explores the history of ransomware attacks in healthcare, ransomware types, ransom payment, healthcare vulnerabilities, implications for international health security, and means of institutional protection

IN VITRO ANTI-ACETYL CHOLINESTERASE AND ANTIOXIDANT ACTIVITY OF SELECTED MALAYSIAN PLANTS

Objective: The aim of this study is to discover and identify the potential plant extracts that could be vital against Alzheimer's disease (AD). It is a neurodegenerative disease affecting the brain. The most promising target for the symptomatic treatment and slowing of AD progression is cholinesterase inhibitors from plants. Methods: To evaluate the antioxidant and anti-acetylcholinesterase (AChEI) activities leaves and roots were macerated and refluxed with ethanol extracts, from four medicinal plants, namely; C.asiatica, M.pudica, C.pumila, and L.camara. DPPH and β-carotene assays were used to determine antioxidant activity; whereas Ellman's colorimetric method was adopted to quantify AChEI activity. Results: The refluxed ethanol extract of M.pudica leaves exhibited the highest AChEI activity (IC50 = 0.047 mg/ml) and high antioxidant activity (β-carotene; IC50 = 0.14 mg/ml and DPPH; IC50 = 0.012 mg/ml). Conclusion: Results reveal that all plant extracts studied possess anti-oxidant properties. Most potent extracts could be a lead to novel antioxidants and acetyl cholinesterase inhibitors, for the treatment of AD. Keywords; Alzheimer's disease (AD); Acetylcholinesterase activity; Antioxidant activity; β-carotene; DPPH; Medicinal plants

Prediction of Temperature and Rainfall in Bangladesh using Long Short Term Memory Recurrent Neural Networks

Temperature and rainfall have a significant impact on economic growth as well as the outbreak of seasonal diseases in a region. In spite of that inadequate studies have been carried out for analyzing the weather pattern of Bangladesh implementing the artificial neural network. Therefore, in this study, we are implementing a Long Short-term Memory (LSTM) model to forecast the month-wise temperature and rainfall by analyzing 115 years (1901-2015) of weather data of Bangladesh. The LSTM model has shown a mean error of -0.38oC in case of predicting the month-wise temperature for 2 years and -17.64mm in case of predicting the rainfall. This prediction model can help to understand the weather pattern changes as well as studying seasonal diseases of Bangladesh whose outbreaks are dependent on regional temperature and/or rainfall.Comment: 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, IEEE, 22-24 October, 2020, TURKE

Electrocardiogram Heartbeat Classification Using Convolutional Neural Networks for the Detection of Cardiac Arrhythmia

The classification of the electrocardiogram (ECG) signal has a vital impact on identifying heart-related diseases. This can ensure the premature finding of heart disease and the proper selection of the patient's customized treatment. However, the detection of arrhythmia is a challenging task to perform manually. This justifies the necessity of a technique for automatic detection of abnormal heart signals. Therefore, our work is based on the classification of five classes of ECG arrhythmic signals from Physionet's MIT-BIH Arrhythmia Dataset. Artificial Neural Networks (ANN) have demonstrated significant success in ECG signal classification. Our proposed model is a Convolutional Neural Network (CNN) customized to categorize the ECG signals. Our result testifies that the planned CNN model can successfully categorize arrhythmia with an overall accuracy of 95.2%. The average precision and recall of the proposed model are 95.2% and 95.4%, respectively. This model can effectively be used to detect irregularities of heart rhythm at an early stage.Comment: 4th International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC 2020), IEEE, 7-9 October 2020, TamilNadu, INDI

Multi National Survey of the Advice Given to Muslim Kidney Graft Recipients by Muslim Nephrologists about Lifestyle and Religious Rituals with Potential Medical Risk

Muslim renal transplant recipients often ask their physicians if performing certain lifestyles or religious obligations may be harmful to their health. Permissibility as advised by an expert Muslim physician is considered as being religiously accepted. A cross-sectional, survey-based study was conducted enquiring what nephrologists would advise their transplant recipients to do, about some lifestyles and religious duties. Fifty-eight nephrologists responded to the survey. Of these, 77% routinely follow-up post-transplant patients; 34% were from Saudi Arabia, 18% from the USA, and 20% from Pakistan. Fifty-four percent of the respondents would let patients with stable graft function fast during Ramadan, while 20% would not recommend fasting at any time following transplantation. This response did not change much if the patient was diabetic although in these patients, not recommending fasting at any time increased to 32%. For kidney donors, fasting would be allowed by 58% of the respondents once the kidney function stabilizes. About 50% would let their patients perform Omrah or obligatory Hajj any time after 12 months following transplantation, and only about 3% would not recommend that at any time after transplantation. For nonobligatory Hajj, 37% and 22%, respectively, would allow. Sixty-one percent would delay the pregnancy in nullipara with stable renal function, and none of the nephrologists would deny the opportunity to pregnancy at any time. In multiparous transplant recipients, the respective frequencies would be 45% and 20%. To our knowledge, this the first study exploring the consensus among Muslim nephrologists regarding the advice they would give on performance of potentially risky lifestyles and religious rituals by Muslim posttransplant patients

Mammalian Y chromosomes retain widely expressed dosage-sensitive regulators

The human X and Y chromosomes evolved from an ordinary pair of autosomes, but millions of years ago genetic decay ravaged the Y chromosome, and only three per cent of its ancestral genes survived. We reconstructed the evolution of the Y chromosome across eight mammals to identify biases in gene content and the selective pressures that preserved the surviving ancestral genes. Our findings indicate that survival was nonrandom, and in two cases, convergent across placental and marsupial mammals. We conclude that the gene content of the Y chromosome became specialized through selection to maintain the ancestral dosage of homologous X-Y gene pairs that function as broadly expressed regulators of transcription, translation and protein stability. We propose that beyond its roles in testis determination and spermatogenesis, the Y chromosome is essential for male viability, and has unappreciated roles in Turner (tm) s syndrome and in phenotypic differences between the sexes in health and disease

Convergent evolution of the genomes of marine mammals

Marine mammals from different mammalian orders share several phenotypic traits adapted to the aquatic environment and are therefore a classic example of convergent evolution. To investigate convergent evolution at the genomic level, we sequenced and de novo assembled the genomes of three species of marine mammals (the killer whale, walrus and manatee) from three mammalian orders that share independently evolved phenotypic adaptations to a marine existence. Our comparative genomic analyses found that convergent amino acid substitutions were widespread throughout the genome, and that a subset were in genes evolving under positive selection and putatively associated with a marine phenotype. However, we found higher levels of convergent amino acid substitutions in a control set of terrestrial sister taxa to the marine mammals. Our results suggest that while convergent molecular evolution is relatively common, adaptive molecular convergence linked to phenotypic convergence is comparatively rare

Optics and Quantum Electronics

Contains table of contents for Section 3, reports on twenty-one research projects and a list of publications and meeting papers.Joint Services Electronics Program Contract DAAL03-92-C-0001U.S. Air Force - Office of Scientific Research Contract F49620-91-C-0091Charles S. Draper Laboratories Contract DL-H-441692MIT Lincoln LaboratoryNational Science Foundation Grant ECS 90-12787Fujitsu LaboratoriesU.S. Navy - Office of Naval Research Grant N00014-92-J-1302National Center for Integrated Photonic TechnologyNational Science Foundation Grant ECS 85-52701U.S. Navy - Office of Naval Research (MFEL) Grant N00014-91-C-0084U.S. Navy - Office of Naval Research (MFEL) Grant N00014-91-J-1956National Institutes of Health Grant R01-GM35459-08U.S. Air Force - Office of Scientific Research Grant F49620-93-1-0301MIT Lincoln Laboratory Contract BX-5098Electric Power Research Institute Contract RP3170-2