Antiviral Activity of Some Plants Used in Nepalese Traditional Medicine

Methanolic extracts of 41 plant species belonging to 27 families used in the traditional medicine in Nepal have been investigated for in vitro antiviral activity against Herpes simplex virus type 1 (HSV-1) and influenza virus A by dye uptake assay in the systems HSV-1/Vero cells and influenza virus A/MDCK cells. The extracts of Astilbe rivularis, Bergenia ciliata, Cassiope fastigiata and Thymus linearis showed potent anti-herpes viral activity. The extracts of Allium oreoprasum, Androsace strigilosa, Asparagus filicinus, Astilbe rivularis, Bergenia ciliata and Verbascum thapsus exhibited strong anti-influenza viral activity. Only the extracts of A. rivularis and B. ciliata demonstrated remarkable activity against both viruses

A qualitative study to understand drivers of psychoactive substance use among Nepalese youth

Background Psychoactive substance use among youth is an emerging public health issue in Nepal. This exploratory study aimed to better understand the drivers of psychoactive substance use among Nepalese youth in Rupandehi district of Nepal. Materials and methods This study used a qualitative approach for data collection. Both in-depth interviews (IDI, seven participants) and focus group discussions (FGD, 13 participants) were conducted among study participants who self-reported as psychoactive substance users or had history of psychoactive substance use. Participants for IDI were aged between 11 and 24 years and between 18 and 35 years old for FGDs. Semi-structured interview guides were prepared separately for IDIs and FDGs. Interviews were conducted in Nepali language and were audio recorded, which were there transcribed and translated into English for coding and analyses. In addition, interviews notes were taken by two research assistants. An inductive thematic analysis was used to analyze the data. Results This study identified a range of drivers of psychoactive substances use among Nepalese youths. Themes included (i) socio-cultural factors, (ii) individual factors, (iii) academic environment, (iv) physical environment and the (v) influence of media. The socio-cultural factors were categorized into sub-themes of family relationships, ethnic identity and psychoactive substance use and lack of social acceptance. Individual factors included peer pressure, stress relief and coping with financial challenges. Accessibility and availability of psychoactive substances in the surrounding environment and lack of monitoring and reinforcement of rules/ law and regulations were other drivers to psychoactive substance use among this Nepalese youth cohort. Conclusion Our study identified several important drivers of psychoactive substance use among youth in the Rupandehi district of Nepal. Future works are anticipated to further explore youth initiation and use of psychoactive substances and support the design of interventions that address these risk factors to reduce and prevent subsequent harms

Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques

© 2020 The Authors Recognition and analysis of Diabetic Foot Ulcers (DFU) using computerized methods is an emerging research area with the evolution of image-based machine learning algorithms. Existing research using visual computerized methods mainly focuses on recognition, detection, and segmentation of the visual appearance of the DFU as well as tissue classification. According to DFU medical classification systems, the presence of infection (bacteria in the wound) and ischaemia (inadequate blood supply) has important clinical implications for DFU assessment, which are used to predict the risk of amputation. In this work, we propose a new dataset and computer vision techniques to identify the presence of infection and ischaemia in DFU. This is the first time a DFU dataset with ground truth labels of ischaemia and infection cases is introduced for research purposes. For the handcrafted machine learning approach, we propose a new feature descriptor, namely the Superpixel Colour Descriptor. Then we use the Ensemble Convolutional Neural Network (CNN) model for more effective recognition of ischaemia and infection. We propose to use a natural data-augmentation method, which identifies the region of interest on foot images and focuses on finding the salient features existing in this area. Finally, we evaluate the performance of our proposed techniques on binary classification, i.e. ischaemia versus non-ischaemia and infection versus non-infection. Overall, our method performed better in the classification of ischaemia than infection. We found that our proposed Ensemble CNN deep learning algorithms performed better for both classification tasks as compared to handcrafted machine learning algorithms, with 90% accuracy in ischaemia classification and 73% in infection classification

Experimental evaluation of adaptive maximum power point tracking for a standalone photovoltaic system

The adaptability of maximum power point tracking (MPPT) of a solar PV system is important for integration to a microgrid. Depending on what fixed step-size the MPPT controller implements, there is an impact on settling time to reach the maximum power point (MPP) and the steady state operation for conventional tracking techniques. This paper presents experimental results of an adaptive tracking technique based on Perturb and Observe (P&O) and Incremental Conductance (IC) for standalone Photovoltaic (PV) systems under uniform irradiance and partial shading conditions. Analysis and verification of measured and MATLAB/Simulink simulation results have been carried out. The adaptive tracking technique splits the operational region of the solar PV’s power–voltage characteristic curve into four and six operational sectors to understand the MPP response and stability of the technique. By implementing more step-sizes at sector locations based on the distance of the sector from the MPP, the challenges associated with fixed step-size is improved on.The measured and simulation results clearly indicate that the proposed system tracks MPP faster and displays better steady state operation than conventional system. The proposed system’s tracking efficiency is over 10% greater than the conventional system for all techniques. The proposed system has been under partial shading condition has been and it outperforms other techniques with the GMPP achieved in 0.9 s which is better than conventional techniques

Colloidal Quantum Dot Color Converters for Visible Light Communications

The properties and performance of CdSSe/ZnS colloidal quantum dot composite materials for use as InGaN LED color converters in visible light communications applications is reported. 500Mb/s optical wireless transmission is demonstrated

A Multi-Gigabit/sec Integrated Multiple Input Multiple Output VLC Demonstrator

In this paper, we report the performance of an imaging multiple input multiple output (MIMO) visible light communication (VLC) system. The VLC transmitter consists of a two-dimensional, individually addressable Gallium Nitride micro light emitting diode (µLED) array. The receiver uses a two-dimensional avalanche photodiode (APD) array fabricated using complementary metal oxide semiconductor (CMOS). Using integrated CMOS-based LED drivers, a data rate greater than 1 Gbps was obtained at a link distance of 1 m with the system field of view (FOV) of 3.45 degree using four channels. At a reduced link distance of 0.5 m, a data rate of 7.48 Gbps was obtained using a nine channel MIMO system. This demonstrates the feasibility of compact MIMO systems which offer substantial data rates

MicroRNA-31 is required for astrocyte specification

Previously, we determined microRNA-31 (miR-31) is a noncoding tumor suppressive gene frequently deleted in glioblastoma (GBM); miR-31 suppresses tumor growth, in part, by limiting the activity of NF-κB. Herein, we expand our previous studies by characterizing the role of miR-31 during neural precursor cell (NPC) to astrocyte differentiation. We demonstrate that miR-31 expression and activity is suppressed in NPCs by stem cell factors such as Lin28, c-Myc, SOX2 and Oct4. However, during astrocytogenesis, miR-31 is induced by STAT3 and SMAD1/5/8, which mediate astrocyte differentiation. We determined miR-31 is required for terminal astrocyte differentiation, and that the loss of miR-31 impairs this process and/or prevents astrocyte maturation. We demonstrate that miR-31 promotes astrocyte development, in part, by reducing the levels of Lin28, a stem cell factor implicated in NPC renewal. These data suggest that miR-31 deletions may disrupt astrocyte development and/or homeostasis

Challenges in diabetes mellitus type 2 management in Nepal: a literature review

BACKGROUND AND OBJECTIVES: Diabetes has become an increasingly prevalent and severe public health problem in Nepal. The Nepalese health system is struggling to deliver comprehensive, quality treatment and services for diabetes at all levels of health care. This study aims to review evidence on the prevalence, cost and treatment of diabetes mellitus type 2 and its complications in Nepal and to critically assess the challenges to be addressed to contain the epidemic and its negative economic impact. DESIGN: A comprehensive review of available evidence and data sources on prevalence, risk factors, cost, complications, treatment, and management of diabetes mellitus type 2 in Nepal was conducted through an online database search for articles published in English between January 2000 and November 2015. Additionally, we performed a manual search of articles and reference lists of published articles for additional references. RESULTS: Diabetes mellitus type 2 is emerging as a major health care problem in Nepal, with rising prevalence and its complications especially in urban populations. Several challenges in diabetes management were identified, including high cost of treatment, limited health care facilities, and lack of disease awareness among patients. No specific guideline was identified for the prevention and treatment of diabetes in Nepal. CONCLUSIONS: We conclude that a comprehensive national effort is needed to stem the tide of the growing burden of diabetes mellitus type 2 and its complications in Nepal. The government should develop a comprehensive plan to tackle diabetes and other non-communicable diseases supported by appropriate health infrastructure and funding

Social processes in post-crisis municipal solid waste management innovations: A proposal for research and knowledge exchange in South Asia

Municipal solid waste management (MSWM) has become one of the most pressing environmental issues in South Asian cities, the more so as it is closely linked to drinking water quality, sanitation and human health affecting mostly the urban poor, as well as to global climate change. Looking at recent governance initiatives in three South Asian cities developed in the wake of natural or human-induced crises, the project will focus on how to render MSWM improvements politically feasible and socially acceptable, which is a pre-requisites for functioning SWM systems, and thus for (environmental and social) sustainability more generally. The goal of this project, therefore, is to identify, analyze and promote the political and sociocultural processes that are necessary to enable the functioning of MSWM systems. In particular, alternative practices and systems are promoted, whereby institutional hierarchies are decentralized, favoring horizontal accountabilities and whereby waste chains are shortened and transformed into closed loops implying a more circular waste economy in which both environmental and local livelihood benefits would accrue. The project puts emphasis on mutual learning through horizontal South-South partnerships between local authorities, civil society actors and researchers across South Asia