DeepDeMod: BPSK Demodulation Using Deep Learning Over Software-Defined Radio

In wireless communication, signal demodulation under non-ideal conditions is one of the important research topic. In this paper, a novel non-coherent binary phase shift keying demodulator based on deep neural network, namely DeepDeMod, is proposed. The proposed scheme makes use of neural network to decode the symbols from the received sampled signal. The proposed scheme is developed to demodulate signal under fading channel with additive white Gaussian noise along with hardware imperfections, such as phase and frequency offset. The time varying nature of hardware imperfections and channel poses a additional challenge in signal demodulation. In order to address this issue, additionally we propose transfer learning based DeepDeMod scheme. Pilot symbols along with data is transmitted in a packet which is used to learn the time varying parameters from the pilot reception followed by data demodulation. Results show that compared with the conventional demodulators and other machine learning based demodulators, our proposed DeepDeMod provides significantly better performance in term of bit error rate. We also implement the proposed DeepDeMod on software defined radio and present the experimental results

A Decision Support System for Liver Diseases Prediction: Integrating Batch Processing, Rule-Based Event Detection and SPARQL Query

Liver diseases pose a significant global health burden, impacting a substantial number of individuals and exerting substantial economic and social consequences. Rising liver problems are considered a fatal disease in many countries, such as Egypt, Molda, etc. The objective of this study is to construct a predictive model for liver illness using Basic Formal Ontology (BFO) and detection rules derived from a decision tree algorithm. Based on these rules, events are detected through batch processing using the Apache Jena framework. Based on the event detected, queries can be directly processed using SPARQL. To make the ontology operational, these Decision Tree (DT) rules are converted into Semantic Web Rule Language (SWRL). Using this SWRL in the ontology for predicting different types of liver disease with the help of the Pellet and Drool inference engines in Protege Tools, a total of 615 records are taken from different liver diseases. After inferring the rules, the result can be generated for the patient according to the DT rules, and other patient-related details along with different precautionary suggestions can be obtained based on these results. Combining query results of batch processing and ontology-generated results can give more accurate suggestions for disease prevention and detection. This work aims to provide a comprehensive approach that is applicable for liver disease prediction, rich knowledge graph representation, and smart querying capabilities. The results show that combining RDF data, SWRL rules, and SPARQL queries for analysing and predicting liver disease can help medical professionals to learn more about liver diseases and make a Decision Support System (DSS) for health care

VNF Placement and Resource Allocation for the Support of Vertical Services in 5G Networks

One of the main goals of 5G networks is to support the technological and business needs of various industries (the so-called verticals), which wish to offer to their customers a wide range of services characterized by diverse performance requirements. In this context, a critical challenge lies in mapping in an automated manner the requirements of verticals into decisions concerning the network infrastructure, including VNF placement, resource assignment, and traffic routing. In this paper, we seek to make such decisions jointly, accounting for their mutual interaction, efficiently. To this end, we formulate a queuing-based model and use it at the network orchestrator to optimally match the vertical's requirements to the available system resources. We then propose a fast and efficient solution strategy, called MaxZ, which allows us to reduce the solution complexity. Our performance evaluation, carried out an accounting for multiple scenarios representing the real-world services, shows that MaxZ performs substantially better than the state-of-the-art alternatives and consistently close to the optimum.This work was supported by the European Commission under the H2020 projects 5G-TRANSFORMER (Project ID 761536) and 5G-EVE (Project ID 815074

Study on correlation between six minute walk test and BODE index in chronic obstructive pulmonary disease patients

Background: Chronic obstructive pulmonary disease is preventable and treatable disease with progressive persistent airflow limitation and enhanced chronic inflammatory response in the airways. Indian council of medical research conducted a study and found that total burden of COPD in India has more than doubled to about 14.84 million in 2011 from about 6.45 million in 1971Methods: It was an open label cross sectional study. It was conducted on patients attending the outpatient department of respiratory medicine, new medical college and hospital, Kota, over a period of one year. 100 COPD patients attending the respiratory outpatient department of GMC, Kota and fulfilling the inclusion criteria’s were included in the study. A diagnosis and severity of COPD was established by clinical symptoms and spirometric data as per GOLD guideline (ratio of FEV1 and forced vital capacity <0.7).Results: We found a significant negative correlation (Pearson correlation coefficient r = -0.664, p< 0.001) between 6 MWD and BODE index in study population.Conclusions: Thus, we concluded that the functional exercise capacity of COPD patients measured by 6MWT deteriorates linearly with severity of the disease assessed by the GOLD staging criteria. Hence we can use 6 MWT for assessing the severity of COPD in place of spirometry where the facility of spirometry is not feasible

QUALITY MODELING FOR COMMUNICATIONS

The disclosure describes techniques for collecting quality information about communications that are initiated by activation of navigation elements on a user interface of a user device. The quality information may include user survey data and communication characteristics data. The communication, referred to hereinafter “click-to-communicate”, may include for example, placing a telephone call to a predesignated telephone number (such as “call click”, “click-to-talk” or “click-to-call”), chatting through a chat window (such as “click-to-chat”), texting (such as “click-to-text”), downloading of software programs (such as “click-to-download”), transferring to a webpage (such as “click-to-deep link”), etc. A system collects characteristics of the communication that takes place by activation of navigation elements. Once the communication is complete, the system provides the user with survey questions. The system advantageously gathers the resulting quality information for measurement and analysis of service

A Review: Protein Interaction & Behavior Assessment in Host Cells after Novel Drug Compound Administration using Systems Biology Approach

To understand complex biological systems requires the integration of experimental and computational research; in other words systems biology approach. Computational biology, through via different software helps in exploration more than one gene expression at a time and also understanding the connectivity, Systems Biology provides a powerful foundation from which to address critical scientific questions head-on. The reviews in this Insight cover many different aspects of this energetic field, although all, in one way or another, illuminate the functioning of modular circuits, including their robustness, design and manipulation. Computational systems biology addresses questions fundamental to our understanding of life, yet progress here will lead to practical innovations in medicine, drug discovery and engineering, In this study we have evaluated th

Understanding Environmental and Social Reasons Towards Abnormal Menstruation Cycle in Indian Women

The human female reproductive system is by far the most complex biological system, abnormal menstruation cycles is directly associated with type 2 diabetes and they have shown to be associated with cardiovascular disorders as well. The underlying reasons for abnormal menstruation cycle in Indian women is just not stress, birth control pills and or disease symptoms but signs of social and environmental factors are clearly evident now in form or traditional societal practices. This paper aims to understand the abnormal behavior of the menstruation cycle in Indian women

Phase 2 study of canfosfamide in combination with pegylated liposomal doxorubicin in platinum and paclitaxel refractory or resistant epithelial ovarian cancer

<p>Abstract</p> <p>Background</p> <p>Canfosfamide is a novel glutathione analog activated by glutathione S-transferase P1-1. This study evaluated the safety and efficacy of canfosfamide in combination with pegylated liposomal doxorubicin (PLD) in patients with platinum resistant ovarian cancer. Patients with platinum resistant ovarian carcinoma and measurable disease received canfosfamide at 960 mg/m²in combination with PLD at 50 mg/m², intravenously day 1 in every 28 day cycles until tumor progression or unacceptable toxicities. The primary endpoints were objective response rate (ORR) and progression-free survival (PFS).</p> <p>Results</p> <p>Canfosfamide plus PLD combination therapy was administered at 960/50 mg/m², respectively. Thirty-nine patients received a median number of 4 cycles (range 1.0-18.0). The ORR was 27.8% (95% CI, 14.2-45.2) with a disease stabilization rate of 80.6% (95% CI, 64.0-91.8) in the evaluable population. The CA-125 marker responses correlated with the radiological findings of complete response or partial response. The median PFS was 6.0 months (95% CI, 4.2-7.9) and median survival was 17.8 months. The combination was well tolerated. Myelosuppression was managed with dose reductions and growth factor support. Grade 3 febrile neutropenia was observed in 2 patients (5.1%). Non-hematologic adverse events occurred at the expected frequency and grade for each drug alone, with no unexpected or cumulative toxicities.</p> <p>Conclusions</p> <p>Canfosfamide in combination with PLD is well tolerated and active in platinum and paclitaxel refractory or resistant ovarian cancer. A randomized phase 3 study was conducted based on this supportive phase 2 study.</p> <p>Trial Registration</p> <p>This study was registered at www.clinicaltrials.gov: NCT00052065.</p