Smart stock exchange market: A secure predictive decentralized model

Stock exchanges around the world are exploring the best possible solution that can improve trading efficiency, lower the risks and tighten secu- rity levels. The working and functioning of a stock exchange involves very hectic and cumbersome pro- cedures which are time consuming, cost inefficient and can be prone to numerous risks. Machine learning and Blockchain are most popular upcoming technologies. In this paper we present a novel secure and de- centralized intelligent stock market prediction model. We present a blockchain based solution for stock exchange model that uses machine learning accessible smart contracts. The machine learning model makes a prediction on the future of the stock market providing an intelligent solution for secure stock market

Assessment of Knowledge, Attitude, Practice, Anxiety and Perceived Mental Health Care Needs in Frontline Health Care Workers regarding COVID-19, A cross sectional Study from North India

Background:Corona virus disease or SARS-CoV-2 is the rapidly emerging pandemic in the present world. It has become a major concern for the front liners (health care professionals) globally. Aim of the study to assess the knowledge, attitude, practice, anxiety and Percieved mental health care needs among health care professionals regarding COVID-19 North India. Methods: A cross sectional online survey was conducted during April to june. The following questionnaire used for assessment purpose semi-structured proforma for socio-demographic variables, knolwdge, attitude and practice questionnaire, anxiety questionnaire regarding Covid 19 and perceived mental health cae need scale.Results: Total 587 subjects were responded. There were 145 specialists, 147 junior residents and 295 paramedical staff who were included for study pupose.Gender distribution, females (47.70%) and males (52.30%).As the data distribution was not normal distribution, Chi-square test was applied. It was found that knowledge and practice score was significantly higher in junior residents (p = <.05), while attitude score  and anxiety was significantly higher in paramedical staff (p = <.05) and perceived mental health care needs were higher in specialists. Keywords: Covid 19, Health care workers , North Indi

Stress and Resilience in Health Care Workers Managing Corona Virus Disease- 2019 Patients in A dedicated COVID-19 Hospital in Mewat region of North India

Objective: Pandemics are known to impact the mental health of the health care workers (HCWs). Impact of COVID-19 on mental health of HCWs is not yet understood completely. We studied stress and resilience among HCWs during the COVID-19pandemic, and observedlevel of stress and resilience among different job profile of HCWsin North India. Methods: We conducted a hospital based cross sectional study at a designated COVID-19 tertiary care center in rural district of North India from April 2020 to June 2020. A total of 587 HCWs were included for study. The information was collected using Semi-structured proforma and pre-validated questionnaire, Perceived stress scale (PSS) for perceived stress and Brief resilient coping scale (BRCS24) for resilience. The statistical analysis was done using statistical package for social sciences (SPSS), version 24. Results: Maximum number of participants (72.2%) reported with moderate to high level of perceived stress. 76.5% specialists were reported moderate stress followed by paramedical staff (65.7%) and junior residents (63.9%). Around 70% of junior residents have high resilient coping skills followed by specialists (53.7%) and paramedical medical staff (51.8%).Significant difference (p value = <0.000) between the PSS score and BRCS scores were found among all three job categories. No correlation was found between PSS and BRCS (p value >0.05). Conclusions: Our study indicated highest level of perceived stressandresiliencein junior residents among all the three job categories, however no relationship could be observed between perceived stress and resilience in HCWs. Higher age, female gender, specialist and COVID care duty inICU, isolation, flu OPD, triage were predictors of perceived stress. These findings should be taken into consideration for the development and implementation of interventions to mitigate the impact of sustained psychological distress among HCWs

Desain pembelajaran fiqih melalui pendekatan Contextual Teaching and Learning (CTL) dalam meningkatkan kemampuian berpikir kritis siswa di MTS Sunan Kalijaga larangan Pamekasan

Pendidikan merupakan usaha sadar dan terencana untuk mengembangkan potensi peserta didik agar sesuai dengan fitrah yang dimilikinya, hal ini selaras dengan Undang-Undang Sistem Pendidikan Nasional No 20 tahun 2003 tentang fungsi pendidikan nasional yaitu mengembangkan kemampuan dan membentuk watak serta peradaban bangsa yang bermartabat dalam rangka mencerdaskan kehidupan bangsa. Tujuan pendidikan nasional yaitu untuk mengembangkan potensi peserta didik agar menjadi manusia yang beriman dan bertaqwa pada Tuhan yang Maha Esa, berakhlak mulia, sehat, berilmu, cakap, kreatif, mandiri dan menjadi warga negara yang demokratis serta bertanggungjawab. Agar peserta didik mampu untuk memecahkan problematika kehidupan yang dihadapinya, maka Pendidikan tersebut harus menyentuh potensi peserta didik baik potensi psikologis maupun potensi keterampilannya. Konsep pendidikan yang seperti ini menjadi penting bagi peserta didik yang akan memasuki kehidupan di masyarakat dan dunia kerja. Rumusan masalah penelitian ini terdiri dari: 1). Bagaimana konsep Contekstual Teaching And Learning (CTL) dalam kegiatan belajar mengajar di Madrasah Tsanawiyah (MTs) Sunan Kalijaga Larangan Pamekasan? dan 2). Bagaimana desain pembelajaran Fiqih melalui pendekatan Contekstual Teaching And Learning (CTL) dalam Meningkatkan kemampuan berpikir kritis siswa di Madrasah Tsanawiyah (MTs) Sunan Kalijaga Larangan Pamekasan?. Riset ini mengamil tempat di Madrasah Tsanawiyah (MTs) Sunan Kalijaga Pamekasan, Desa Larangan Luar Kecamatan Larangan kabupaten Pamekasan Jawa Timur. Penelitian ini menggunakan pendekatan kualitatif, dan instrumen yang digunakan dalam pengumpulan data yang didapat oleh peneliti melalui observasi, wawancara dan dokumentasi. Informan atau subjek dari penelitian ini adalah kepala sekolah, guru mata pelajaran fiqih dan siswa MTs Sunan Kalijaga Larangan Pamekasan. Hasil penelitian ini menunjukkan bahwa: pertama, konsep Contekstual Teaching And Learning (CTL) dalam kegiatan belajar mengajar di Madrasah Tsanawiyah (MTs) Sunan Kalijaga Larangan Pamekasan dengan melibatkan tujuh komponen, yaitu: Konstruktivistik, inkuiri, bertanya, masyarakat belajar, pemodelan, refleksi dan penilaian sebenarnya melalui kurikulum 2013 untuk mata pelajaran agama kelas VII dan VIII serta KTSP untuk kelas IX. Kedua, desain pembelajaran Fiqih melalui pendekatan Contekstual Teaching And Learning (CTL) dalam Meningkatkan kemampuan berpikir kritis siswa di Madrasah Tsanawiyah (MTs) Sunan Kalijaga Larangan Pamekasan yaitu dengan mengacu kepada silabus dan Rencana pelaksanaan pembelajaran (RPP)

Figure 2

<p>IPW interactome and comparison with existing annotation databases (a) IPW-Only protein-protein functional interaction network, (b) Comparative analysis of IPW-Only proteins and interaction with existing manually curated databases, Ring represents all interactions and proteins in IPW displaying the subsets which are obtained from other manually curated databases (b1) Comparative analysis of IPW-Only interactions to that of existing manually curated databases (b2) comparative analysis of protein as curated in IPW-Only to that of proteins presents in other manually curated databases (c) TubercuList functional class interaction relation based on the interactions as obtained from IPW-Only. The connectivity (lines) represents the interacting proteins within these classes.</p

From Social Network to Biological Network.

<p>The C2D annotation approach for manual annotation and curation of Mtb interactome followed by network analysis to predict potential drug targets reported at various sequence and structural level filters. (A) Illustrates the overall approach of crowd sourcing through social network implemented in C2D exercise (B)(a) Mtb Genome (b) Manual collation and sequence/structure based curation for gene annotation (c) Collation of re-annotated genome into comprehensive data structure (d) Construction of protein-protein interaction network based on the annotated data (e) Target identification using network analysis; Sequence level comparison of selected proteins with that of human homologs, human gut flora and human oral flora; systems, sequence and structure level analysis of shortlisted proteins and experimentally validated drug targets.</p

Figure 3

<p>Network parameters (a) Characteristic path length of IPW-Only network and IPWSI network. In both the graphs the x-axis represents the path length whereas the y-axis represents the frequency. 3(b) Log-Log plot of degree distribution of IPW network, the solid line was obtained by fitting the power law for γ  = 1.99 and Log-Log plot of degree distribution of IPWSI network, the solid line represents the power law fit with γ  = 2.01.</p

Illustrates the comprehensive analyses of central proteins as potential drug targets.

<p>The various filters include comparison with validated drug targets, sequence and structural level comparison with Human proteome, gut and oral flora (a) The list of 73 central ORFs wherein Rv Ids in bold represent IPW central ORFs, Rv IDs in regular font represents IPWSI central ORFs and the italicized-bold represent common Rv Ids to both IPW and IPWSI. (b & b’) Five of the 17 IPW and six of 64 central ORFs with experimental validation as drug targets. (c) Sequence homology comparison with human proteome and human microbiome results in 62 ORFs with no significant similarity (d) Octamer analyses against human proteome and human microbiome results in one ORF with no hits (e) Comparative binding site analysis with human proteome results in 26 ORFs with no significant similarity (lists b, b’, c, d and e available in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039808#pone.0039808.s002" target="_blank">Table S2</a>).</p

The data structure that was used to capture the interactome data.

<p>There were 11 annotation fields for reporting annotations. The data is available in PSI MITAB format.</p