Evaluation of Prognostic response in HIV positive patients after Antiretroviral Therapy

Objective: The present study was aimed to monitor the prognostic response of antiretroviral therapy in HIV positive patients. Methodology: The study was conducted on confirmed HIV positive patients registered at HIV treatment and care centre, PIMS. Islamabad from January 2013 to December 2015.. Among all HIV positive patients,276 adult cases were selected. There were 263 patients on first-line antiretroviral (ARV) therapy and 13 patients were shifted to 2nd line ARV therapy.CD4 cell counts and viral load (Polymerase chain reaction) monitoring was done after one year of starting ARV therapy. Results: Out of 276 adult patients,  75%(n=207) were male and 25%(n=69) were females. Among 276 adult cases, 95.3% (n=263) patients were on first line ARV therapy. Patients on first line ARV therapy showed good prognostic response. There  were 15.5%(n=40) patients having  CD4+cells less than 350cells/µL. There were 84.5%(n=223) patients having  CD4 +cells count greater than 350cells/µL There were 69%(n=182) patients having viral load <50copies/ml and 31%(n=81) patients who had viral load >50copies/ml. Conclusion: First line ARV therapy given to HIV positive patients proved itself best both in respect of increasing the immunity of HIV positive patients by increasing the number of CD4 cells and also results in effective viral load suppression

Management of Chili leaf curl disease (ChiLCD) through resistant germplasm and Nutrients in relation to Environmental Factors

Chili (Capsicum annuum L.) is an important commercial spicy crop grown in many regions across the world. Six chili varieties such as Zinia F1, Desi (Jalalpuri), Desi (Jalalpuri 2), Wonder Hot, Summer Queen F1, and Faisalabad Selection was evaluated against the most devastating and catastrophic Chili’s leaf curl disease caused by Begomovirus Chili leaf curl virus (ChiLCV). Out of all six varieties, Wonder Hot and Summer Queen F1 showed moderately resistant (MR) response whereas three varieties including Zinia F1, Desi (Jalalpuri) and Desi (Jalalpuri 2) had a moderately susceptible (MS) response, and only one variety namely Faisalabad Selection, expressed resistant (R) response. Four varieties; Desi (Jalalpuri), Desi (Jalalpuri 2), Zinia F1, and Wonder Hot, were used for management purposes with four micronutrients in combinations, namely T1 (ZnSO4 + CuSO4), T2 (MnSO4 + CuSO4), T3 (Boric Acid + CuSO4) and T4 (ZnSO4 + CuSO4 + MnSO4 + Boric Acid). When compared to control (58.14%), only T4 demonstrated minimum disease severity (11.63%). In the case of disease incidence, T4 gave the best results with minimum disease incidence (35.65%) as compared to control (92.59%). Treatments were able to decrease the disease progression even in the existing of favorable environmental factors.There was significant (p˂0.05) but positive correlation between wind speed and disease severity. Wind speed was highly correlated with the disease severity of variety Wonder Hot (r=0.91). We concluded that the application of micronutrient activate the plant defense system and at the same time suppress the vector populations

Kernel recursive least square tracker and long-short term memory ensemble based battery health prognostic model

Summary: A data-driven approach is developed to predict the future capacity of lithium-ion batteries (LIBs) in this work. The empirical mode decomposition (EMD), kernel recursive least square tracker (KRLST), and long short-term memory (LSTM) are used to derive the proposed approach. First, the LIB capacity data is split into local regeneration and monotonic global degradation using the EMD approach. Next, the KRLST is used to track the decomposed intrinsic mode functions, and the residual signal is predicted using the LSTM sub-model. Finally, all the predicted intrinsic mode functions and the residual are ensembled to get the future capacity. The experimental and comparative analysis validates the high accuracy (RMSE of 0.00103) of the proposed ensemble approach compared to Gaussian process regression and LSTM fused model. Furthermore, two times lesser error than other fused models makes this approach an efficient tool for battery health prognostics

Air Pollution and Clean Energy: Latest Trends and Future Perspectives

Energy and the environment are among the top global issues of this era. Environmental degradation specifically due to consumption of fossil fuels in conventional energy generation systems has become a critical challenge for the whole world. With the introduction of advance industrial processes and operations, the air quality deterioration has also become very complex. There is a dire need to replace the conventional energy systems with alternative energy resources for reducing air pollutants. Renewable energy systems generate clean energy with less environmental footprints. This chapter will highlight the latest trends and future strategies in clean and renewable energy supply systems to mitigate air pollution for environmental sustainability

Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review

For those individuals with upper-extremity amputation, a daily normal living activity is no longer possible or it requires additional effort and time. With the aim of restoring their sensory and motor functions, theoretical and technological investigations have been carried out in the field of neuroprosthetic systems. For transmission of sensory feedback, several interfacing modalities including indirect (non-invasive), direct-to-peripheral-nerve (invasive), and cortical stimulation have been applied. Peripheral nerve interfaces demonstrate an edge over the cortical interfaces due to the sensitivity in attaining cortical brain signals. The peripheral nerve interfaces are highly dependent on interface designs and are required to be biocompatible with the nerves to achieve prolonged stability and longevity. Another criterion is the selection of nerves that allows minimal invasiveness and damages as well as high selectivity for a large number of nerve fascicles. In this paper, we review the nerve-machine interface modalities noted above with more focus on peripheral nerve interfaces, which are responsible for provision of sensory feedback. The invasive interfaces for recording and stimulation of electro-neurographic signals include intrafascicular, regenerative-type interfaces that provide multiple contact channels to a group of axons inside the nerve and the extra-neural-cuff-type interfaces that enable interaction with many axons around the periphery of the nerve. Section Current Prosthetic Technology summarizes the advancements made to date in the field of neuroprosthetics toward the achievement of a bidirectional nerve-machine interface with more focus on sensory feedback. In the Discussion section, the authors propose a hybrid interface technique for achieving better selectivity and long-term stability using the available nerve interfacing techniques. Copyright © 2017 Ghafoor, Kim and Hong.1

Synchromodal Transportation Analysis of the One-Belt-One-Road Initiative Based on a Bi-Objective Mathematical Model

Synchromodality is the key to finding sustainable solutions for logistics, especially across larger networks. The era of the COVID-19 pandemic has brought special attention to the disruptions in demand and supply across the world and has accentuated the need for sustainable transportation networks to handle such anomalies in supply chains. The proposed research develops a mathematical model for an intermodal transportation network and investigates the model on one of the largest and most widely discussed supply chain projects of the One-Belt-One-Road (OBOR) initiative. The proposed bi-objective model focuses on time and cost functions with rail, roads, and ships as modes of transportation. A detailed analysis was performed on various mode alternatives and links to evaluate their performance. The study provides an insightful understanding of the network with several suggestions. In contrast to roads and trains, container ships depict a fourfold increase in fuel consumption for an average ship weighing 4500 TEUs with the increase in shipping speed. It was concluded that increasing port capacity and reducing custom clearance time can have a major impact on lead times, and this is directly influenced by a country’s ease of doing business. Moreover, with its several branches, the OBOR initiative can provide a robust supply chain with increased logistical capacity

Synchromodal Transportation Analysis of the One-Belt-One-Road Initiative Based on a Bi-Objective Mathematical Model

Synchromodality is the key to finding sustainable solutions for logistics, especially across larger networks. The era of the COVID-19 pandemic has brought special attention to the disruptions in demand and supply across the world and has accentuated the need for sustainable transportation networks to handle such anomalies in supply chains. The proposed research develops a mathematical model for an intermodal transportation network and investigates the model on one of the largest and most widely discussed supply chain projects of the One-Belt-One-Road (OBOR) initiative. The proposed bi-objective model focuses on time and cost functions with rail, roads, and ships as modes of transportation. A detailed analysis was performed on various mode alternatives and links to evaluate their performance. The study provides an insightful understanding of the network with several suggestions. In contrast to roads and trains, container ships depict a fourfold increase in fuel consumption for an average ship weighing 4500 TEUs with the increase in shipping speed. It was concluded that increasing port capacity and reducing custom clearance time can have a major impact on lead times, and this is directly influenced by a country’s ease of doing business. Moreover, with its several branches, the OBOR initiative can provide a robust supply chain with increased logistical capacity