Showing papers by "Amit Singh published in 2022"
TL;DR: DRLTrack, a framework for target tracking with a collaborative DRL called C-DRL in Edge-IoT with the aim to obtain high quality of tracking (QoT) and resource-efficient network performance is proposed.
Abstract: Mobile target tracking with artificial intelligence (AI) approaches such as deep reinforcement learning (DRL) in edge-assisted Internet of Things (Edge-IoT) platform can be promising. In this article, we propose DRLTrack , a framework for target tracking with a collaborative DRL called C-DRL in Edge-IoT with the aim to obtain two major objectives: high quality of tracking (QoT) and resource-efficient network performance. In DRLTrack , a huge number of IoT devices are employed to collect data about a target of interest. One or two edge devices in the network coordinate with a group of IoT devices and collaboratively detect the target by using the C-DRL approach and form an area around the target by the group of IoT devices. To maintain such an area during the tracking time, we employ a deep Q-network to track the target from one group to another. An EdgeAI sitting on the top of the edge devices has the control of the C-DRL approach during tracking and can identify a sequence of tracks. DRLTrack is said to be trustworthy as it shows trustworthy performance in terms of QoT, dynamic environments, and even under certain cyberattacks. We validate the performance of DRLTrack considering the objectives through simulations and it demonstrates superior performance compared with existing work.
38 citations
TL;DR: In this article , the authors focused on some of these environmental factors that affect semen quality and hence, can cause male infertility, including air pollution, use of pesticides and harmful chemicals, exposure to excessive heat and can lead to decreased male fertility.
Abstract: Abstract Background Worldwide rising trend in infertility has been observed in the past few years with male infertility arising as a major problem. One main reason for the rise in male infertility cases is declining semen quality. It was found that any factor that affects semen quality can affect male fertility. There are several modifiable factors affecting semen quality including air pollution, use of pesticides and harmful chemicals, exposure to excessive heat, and can lead to decreased male fertility. Main body The present review focuses on some of these environmental factors that affect semen quality and hence, can cause male infertility. The literature from 2000 till June 2021 was searched from various English peer-reviewed journals and WHO fact sheets using the USA National Library of Medicine (PubMed) database, the regional portal of Virtual Health Library, and Scientific Electronic Library Online. The search terms used were: “Air pollution and male fertility”, “Chemicals and male infertility”, “Heat exposure and infertility”, “heavy metals and male fertility”. Conclusion Adverse environmental factors have a significant impact on semen quality, leading to decreased sperm concentration, total sperm count, motility, viability, and increased abnormal sperm morphology, sperm DNA fragmentation, ultimately causing male infertility. However, all these factors are modifiable and reversible, and hence, by mere changing of lifestyle, many of these risk factors can be avoided.
27 citations
TL;DR: In this paper , the authors present a general overview of the International Natural Product Sciences Taskforce (INPST) activities and showcase the specific use of Twitter as a powerful networking tool that was used to host a one-week "2021 INPST Twitter Networking Event" (spanning from 31st May 2021 to 6th June 2021).
21 citations
TL;DR: The role of branched-chain amino acids (BCAA) as functional AA and their physiological effects on the productivity and health of poultry have been discussed in this paper , where it has been noted that the requirement for BCAA is influenced by the diet type, breed, and age of the birds.
19 citations
TL;DR: This paper proposes SmartNoshWaste—a blockchain based multi-layered framework utilizing cloud computing, QR code and reinforcement learning to reduce food waste and demonstrates the efficacy of the proposed framework on real world food data.
Abstract: Food waste is an important social and environmental issue that the current society faces, where one third of the total food produced is wasted or lost every year while more than 820 million people around the world do not have access to adequate food. However, as we move towards a decentralized Web 3.0 enabled smart city, we can utilize cutting edge technologies such as blockchain, artificial intelligence, cloud computing and many more to reduce food waste in different phases of the supply chain. In this paper, we propose SmartNoshWaste—a blockchain based multi-layered framework utilizing cloud computing, QR code and reinforcement learning to reduce food waste. We also evaluate SmartNoshWaste on real world food data collected from the nosh app to show the efficacy of the proposed framework and we are able to reduce food waste by 9.46% in comparison to the originally collected food data based on the experimental evaluation.
15 citations
TL;DR: Systemic changes that result from alterations in carbon availability in the model cyanobacterium Synechococcus elongatus PCC 7942 are explored by taking advantage of an engineered strain where influx/efflux of a central carbon metabolite, sucrose, can be regulated experimentally.
Abstract: Photosynthetic organisms possess a variety of mechanisms to achieve balance between absorbed light (source) and the capacity to metabolically utilize or dissipate this energy (sink). While regulatory processes that detect changes in metabolic status/balance are relatively well studied in plants, analogous pathways remain poorly characterized in photosynthetic microbes. Here, we explored systemic changes that result from alterations in carbon availability in the model cyanobacterium Synechococcus elongatus PCC 7942 by taking advantage of an engineered strain where influx/efflux of a central carbon metabolite, sucrose, can be regulated experimentally. We observed that induction of a high-flux sucrose export pathway leads to depletion of internal carbon storage pools (glycogen) and concurrent increases in estimates of photosynthetic activity. Further, a proteome-wide analysis and fluorescence reporter-based analysis revealed that upregulated factors following the activation of the metabolic sink are concentrated on ribulose-1,5-bisphosphate carboxylase-oxygenase (Rubisco) and auxiliary modules involved in Rubisco maturation. Carboxysome number and Rubisco activity also increased following engagement of sucrose secretion. Conversely, reversing the flux of sucrose by feeding exogenous sucrose through the heterologous transporter resulted in increased glycogen pools, decreased Rubisco abundance, and carboxysome reorganization. Our data suggest that Rubisco activity and organization are key variables connected to regulatory pathways involved in metabolic balancing in cyanobacteria.
14 citations
TL;DR: In this paper , the temperature distribution, geometry and size of the melt pool, and solidification parameters were computed using the heat transfer and material flow model for the directed energy deposition process.
12 citations
12 citations
TL;DR: NADH-reductive stress contributes to moxifloxacin-mediated killing of M. tuberculosis, and the respiration stimulator (NAC) enhances lethality and suppresses the emergence of drug resistance.
Abstract: Moxifloxacin is central to treatment of multidrug-resistant tuberculosis. Effects of moxifloxacin on the Mycobacterium tuberculosis redox state were explored to identify strategies for increasing lethality and reducing the prevalence of extensively resistant tuberculosis. ABSTRACT Moxifloxacin is central to treatment of multidrug-resistant tuberculosis. Effects of moxifloxacin on the Mycobacterium tuberculosis redox state were explored to identify strategies for increasing lethality and reducing the prevalence of extensively resistant tuberculosis. A noninvasive redox biosensor and a reactive oxygen species (ROS)-sensitive dye revealed that moxifloxacin induces oxidative stress correlated with M. tuberculosis death. Moxifloxacin lethality was mitigated by supplementing bacterial cultures with an ROS scavenger (thiourea), an iron chelator (bipyridyl), and, after drug removal, an antioxidant enzyme (catalase). Lethality was also reduced by hypoxia and nutrient starvation. Moxifloxacin increased the expression of genes involved in the oxidative stress response, iron-sulfur cluster biogenesis, and DNA repair. Surprisingly, and in contrast with Escherichia coli studies, moxifloxacin decreased expression of genes involved in respiration, suppressed oxygen consumption, increased the NADH/NAD+ ratio, and increased the labile iron pool in M. tuberculosis. Lowering the NADH/NAD+ ratio in M. tuberculosis revealed that NADH-reductive stress facilitates an iron-mediated ROS surge and moxifloxacin lethality. Treatment with N-acetyl cysteine (NAC) accelerated respiration and ROS production, increased moxifloxacin lethality, and lowered the mutant prevention concentration. Moxifloxacin induced redox stress in M. tuberculosis inside macrophages, and cotreatment with NAC potentiated the antimycobacterial efficacy of moxifloxacin during nutrient starvation, inside macrophages, and in mice, where NAC restricted the emergence of resistance. Thus, NADH-reductive stress contributes to moxifloxacin-mediated killing of M. tuberculosis, and the respiration stimulator (NAC) enhances lethality and suppresses the emergence of drug resistance.
10 citations
TL;DR: In this paper , the importance of available global microbial collections for man and the use of these resources in different research and applications in agriculture, biotechnology, and industry was highlighted, and a critical analysis of the current and future roles of microorganisms available in culture collections for different sustainable agricultural and industrial applications.
9 citations
TL;DR: This review highlights the natural sources of chlorogenic acid, its bioavailability, metabolism, pharmacotherapeutic potential and underlying mechanisms of action for clinical usefulness of CGA in the management of health disorders.
Abstract: Phenolic acids are now receiving a great deal of interest as pervasive human dietary constituents that have various therapeutic applications against chronic and age-related diseases. One such phenolic acid that is being utilized in traditional medicine is chlorogenic acid (CGA). It is one of the most readily available phytochemicals that can be isolated from the leaves and fruits of plants such as coffee beans (CoffeaarabicaL.), apples (Malus spp.), artichoke (Cynara cardunculus L.), carrots (Daucus carota L.), betel (Piper betle L.), burdock (Arctium spp.) and so on. Despite its low oral bioavailability (about 33%), CGA has drawn considerable attention due to its wide range of biological activities and numerous molecular targets.Several studies have reported that the antioxidant and antiinflammatory potential of CGA mainly account for its broad-spectrum pharmacological attributes. CGA has been implicated in exerting beneficial role against dysbiosis by encouraging the growth of beneficial GUT microbes. At biochemical level its therapeutic action is mediated by free radical scavenging efficacy, modulation of glucose and lipid metabolism, down-regulation of proinflammatory cytokines such as tumor necrosis factor alpha (TNF-α),interleukin-6 (IL-6), IL-1β, and interferon gamma (IFN-γ), upregulation of nuclear factor erythroid 2-related factor 2 (Nrf-2) and inhibition ofthe activity of nuclear factor- κβ (NF-κβ) and thus help inmanagement of diabetes, cardiovascular diseases, neurodegenerative disorder, cancer, hypertension etc. This review highlights the natural sources of CGA, its bioavailability, metabolism, pharmacotherapeutic potential and underlying mechanisms of action for clinical usefulness of CGA in the management of health disorders.
TL;DR: It is reported that co-infection of human ACE2 transgenic mice with sublethal doses of SARS-CoV-2 and Streptococcus pneumoniae results in synergistic lung inflammation and lethality and when seasonal respiratory infections return to pre-pandemic levels, they could lead to an increased incidence of lethal COVID-19 superinfections, especially among the unvaccinated population.
Abstract: Secondary infections are frequent complications of viral respiratory infections but the potential consequence of SARS-CoV-2 co-infection with common pulmonary pathogens is poorly understood. We report that co-infection of human ACE2 transgenic mice with sublethal doses of SARS-CoV-2 and Streptococcus pneumoniae results in synergistic lung inflammation and lethality. Mortality was observed regardless of whether SARS-CoV-2 challenge occurred before or after establishment of sublethal pneumococcal infection. Increased bacterial levels following co-infection were associated with alveolar macrophage depletion and treatment with murine GM-CSF reduced lung bacteria numbers and pathology, and partially protected from death. However, therapeutic targeting of interferons, an approach that is effective against influenza co-infections, failed to increase survival. Combined vaccination against both SARS-CoV-2 and pneumococci resulted in 100% protection against subsequent co-infection. The results indicate that when seasonal respiratory infections return to pre-pandemic levels, they could lead to an increased incidence of lethal COVID-19 superinfections, especially among the unvaccinated population. .
TL;DR: It is demonstrated that MtbCbs is a heme-less, pyridoxal-5′-phosphate–containing enzyme, allosterically activated by S-adenosylmethionine (SAM), which constitutes an important mechanism of coordinating sulfur metabolism in Mtb.
Abstract: Methionine and cysteine metabolisms are important for the survival and pathogenesis of Mycobacterium tuberculosis (Mtb). The transsulfuration pathway converts methionine to cysteine and represents an important link between antioxidant and methylation metabolism in diverse organisms. Using a combination of biochemistry and cryo–electron microscopy, we characterized the first enzyme of the transsulfuration pathway, cystathionine β-synthase (MtbCbs) in Mtb. We demonstrated that MtbCbs is a heme-less, pyridoxal-5′-phosphate–containing enzyme, allosterically activated by S-adenosylmethionine (SAM). The atomic model of MtbCbs in its native and SAM-bound conformations revealed a unique mode of SAM-dependent allosteric activation. Further, SAM stabilized MtbCbs by sterically occluding proteasomal degradation, which was crucial for supporting methionine and redox metabolism in Mtb. Genetic deficiency of MtbCbs reduced Mtb survival upon homocysteine overload in vitro, inside macrophages, and in mice coinfected with HIV. Thus, the MtbCbs-SAM axis constitutes an important mechanism of coordinating sulfur metabolism in Mtb.
TL;DR: The lateral flow assays (LFAs) comprising nanoparticles have drawn the interest of researchers due to their high sensitivity, low cost, lower time consumption, lack of equipment, and easy handling characteristics as mentioned in this paper .
TL;DR: In this article , the authors proposed an adaptive energy-aware DTN-based communication layer for cyber-physical systems (CPS) based on a delay tolerant network in the proposed model, which allows energy savings by managing the wake-up period at regular intervals while keeping the node inactive for the rest of the time.
TL;DR: It is demonstrated that SufT depletion diminishes glycolytic rate and oxidative phosphorylation in Mtb and reduces aconitase’s enzymatic activity under standard growth conditions and in response to oxidative stress and iron limitation.
Abstract: Iron-sulfur (Fe-S) cluster proteins carry out essential cellular functions in diverse organisms, including the human pathogen Mycobacterium tuberculosis (Mtb). The mechanisms underlying Fe-S cluster biogenesis are poorly defined in Mtb. Here, we show that Mtb SufT (Rv1466), a DUF59 domain-containing essential protein, is required for the Fe-S cluster maturation. Mtb SufT homodimerizes and interacts with Fe-S cluster biogenesis proteins; SufS and SufU. SufT also interacts with the 4Fe-4S cluster containing proteins; aconitase and SufR. Importantly, a hyperactive cysteine in the DUF59 domain mediates interaction of SufT with SufS, SufU, aconitase, and SufR. We efficiently repressed the expression of SufT to generate a SufT knock-down strain in Mtb (SufT-KD) using CRISPR interference. Depleting SufT reduces aconitase’s enzymatic activity under standard growth conditions and in response to oxidative stress and iron limitation. The SufT-KD strain exhibited defective growth and an altered pool of tricarboxylic acid cycle intermediates, amino acids, and sulfur metabolites. Using Seahorse Extracellular Flux analyzer, we demonstrated that SufT depletion diminishes glycolytic rate and oxidative phosphorylation in Mtb. The SufT-KD strain showed defective survival upon exposure to oxidative stress and nitric oxide. Lastly, SufT depletion reduced the survival of Mtb in macrophages and attenuated the ability of Mtb to persist in mice. Altogether, SufT assists in Fe-S cluster maturation and couples this process to bioenergetics of Mtb for survival under low and high demand for Fe-S clusters.
TL;DR: In this paper , the effects of tannic acid (TA) supplementation on growth performance, Salmonella colonization, gut barrier integrity, serum endotoxin levels, antioxidant capacity, gut health, and immune function in broilers infected with the salmonella enterica serovar Typhimurium nalidixic acid resistant strain (STNR) were investigated.
TL;DR: In this article , an adaptive resource management approach in mobile MPSoC platforms that maximises QoE while meeting battery life expectations is proposed. But the authors do not consider the daily variability in the user's desired charging time-of-day (plug-in time).
Abstract: Heterogeneous multi-processor system-on-chip (MPSoC) smartphones are required to offer increasing performance and user quality-of-experience (QoE), despite comparatively slow advances in battery technology. Approaches to balance instantaneous power consumption, performance and QoE have been reported, but little research has considered how to perform longer-term budgeting of resources across a complete battery discharge cycle. Approaches that have considered this are oblivious to the daily variability in the user’s desired charging time-of-day (plug-in time), resulting in a failure to meet the user’s battery life expectations, or else an unnecessarily over-constrained QoE. This paper proposes QUAREM, an adaptive resource management approach in mobile MPSoC platforms that maximises QoE while meeting battery life expectations. The proposed approach utilises a model that learns and then predicts the dynamics of the energy usage pattern and plug-in times. Unlike state-of-the-art approaches, we maximise the QoE through the adaptive balancing of the battery life and the quality of service (QoS) for the duration of the battery discharge. Our model achieves a good degree of accuracy with a mean absolute percentage error of 3.47% and 2.48% for the energy demand and plug-in times, respectively. Experimental evaluation on an off-the-shelf commercial smartphone shows that QUAREM achieves the expected battery life of the user within 20–25% energy demand variation with little or no QoE degradation.
TL;DR: In vitro studies revealed that the green light-activated nano-DDS exhibited good cytocompatibility, excellent cellular internalization, and effective cancer cell killing ability.
Abstract: Developing green or red light-activated drug delivery systems (DDSs) for cancer treatment is highly desirable. Herein, we have reported a green light-responsive single component-based organic fluorescence nano-DDS by simply anchoring 2-hydroxy-6-naphthacyl (phototrigger) on both sides of the 1,5-diaminonaphthalene (DAN) chromophore. This green light (λ ≥ 500 nm)-activated DDS released two equivalents of the anticancer drug (valproic acid) in a spatio-temporally controlled manner. Our photoresponsive DDS [DAN-bis(HO-Naph-VPA)] exhibited interesting properties such as excited-state intramolecular proton transfer (ESIPT) accompanied with aggregation-induced emission (AIE) phenomena. AIE initiated the photorelease, and ESIPT enhanced the rate of the photorelease. Further, in vitro studies revealed that our green light-activated nano-DDS exhibited good cytocompatibility, excellent cellular internalization, and effective cancer cell killing ability.
TL;DR: In this article , dry powder inhalation (DPI) was used as a stand-alone versus adjunct to oral anti-tuberculosis (TB) chemotherapy in mice, with or without concomitant oral drugs.
TL;DR: Results revealed that apigenin regulates cell proliferation and survival, primarily through different signaling pathways like estrogen, VEGF, PI3K/AKT1, TNF, FoXO, and Ras signaling pathways.
TL;DR: Molecular docking study revealed that ZINC000072404720 have similar binding pattern and MM/GBSA free energy as known allosteric inhibitor EAI045 and fulfils drug likeliness property and did not violate Lipinski’s rule of five.
Abstract: ABSTRACT Anticancer therapy targets Tyrosine kinase (TK) to inhibit signal transduction pathway that regulate various physiological and biochemical processes. Mutation in and around the catalytic domain may lead to conformational changes and activity. The first identified mutation leading to resistance against tyrosine kinase inhibitor (TKI) was observed when Thr at 790 replaced to Met in Epidermal Growth Factor Receptor (EGFR). Third generation EGFR-TKIs bind irreversibly to the Cysteine 797, (ATP-binding pocket). Mutation of Cys 797 to Ser residue (EGFRC797S) causes resistance to third generation TKI. The present study explores allosteric inhibitor of EGFRT790M+C797S mutant TK by molecular modelling techniques using 3,92,945 compounds of Zinc database. Molecular docking study revealed that ZINC000072404720 have similar binding pattern and MM/GBSA free energy as known allosteric inhibitor EAI045. RMSD of EGFRT790M+C797S bound to EAI045 and ZINC000072404720 were quite similar and in acceptable range. Hydrogen bonds after 150ns simulation was observed between Lys 745 and Asp 855 with EAI045 and novel inhibitor showed hydrogen bonding with Lys 745, Leu 788, Thr 854, Asp 855, Phe 856. MM/GBSA free energy was better (-84.09 Kcal/mol) known inhibitor EAI045b (-65.95 Kcal/mol). ZINC000072404720 fulfils drug likeliness property and did not violate Lipinski’s rule of five.
TL;DR: The present study screened the ZINC database to find novel HDAC6 inhibitors using virtual high-throughput screening techniques and found ZINC000002845205 qualifies drug-likeness according to Lipinski’s rule-of-five, rule of three, and the World Drug Index (WDI)-like rule, but there is one violation in the lead-like rule.
Abstract: The histone acetylation–deacetylation at lysine regulates the functions of many cellular proteins. An increased expression of HDAC6 can cause an increased amount of deacetylated histones, which leads to an inhibition of gene expression and has been associated with cancer cell proliferation. The present study screened the ZINC database to find novel HDAC6 inhibitors using virtual high-throughput screening techniques. The docking score, free energy, and binding pattern of the complexes were used to select a best ligand for further study. Molecular dynamic simulations, binding interactions, and the stability of docked conformations were investigated. Several parameters that determine protein–ligand interactions, such as root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), radius of gyration (Rg), and binding pattern, were observed. Hydrogen bonds were observed at His 573 and Gly 582 after a 150 ns simulation with identified compound ZINC000002845205, and they were similar to known inhibitor Panobinostat. The molecular mechanics with generalised Born and surface area solvation (MM/GBSA) free energy was comparable to known inhibitor Panobinostat. ZINC000002845205 qualifies drug-likeness according to Lipinski’s rule-of-five, rule-of-three, and the World Drug Index (WDI)-like rule, but there is one violation in the lead-like rule.
TL;DR: Interestingly, IL‐15, a key cytokine involved in lymphocyte activation and homeostasis, was detected in symptomatic individuals but not in healthy controls or asymptomatic cases, suggesting a compensatory production of this cytokine in response to the profound lymphopenia.
Abstract: Immune cell dysregulation and lymphopenia characterize COVID‐19 pathology in moderate to severe disease. While underlying inflammatory factors have been extensively studied, homeostatic and mucosal migratory signatures remain largely unexplored as causative factors. In this study, we evaluated the association of circulating IL‐6, soluble mucosal addressin cell adhesion molecule (sMAdCAM), and IL‐15 with cellular dysfunction characterizing mild and hypoxemic stages of COVID‐19. A cohort of SARS‐CoV‐2 infected individuals (n = 130) at various stages of disease progression together with healthy controls (n = 16) were recruited from COVID Care Centres (CCCs) across Mumbai, India. Multiparametric flow cytometry was used to perform in‐depth immune subset characterization and to measure plasma IL‐6 levels. sMAdCAM, IL‐15 levels were quantified using ELISA. Distinct depletion profiles, with relative sparing of CD8 effector memory and CD4+ regulatory T cells, were observed in hypoxemic disease within the lymphocyte compartment. An apparent increase in the frequency of intermediate monocytes characterized both mild as well as hypoxemic disease. IL‐6 levels inversely correlated with those of sMAdCAM and both markers showed converse associations with observed lympho‐depletion suggesting opposing roles in pathogenesis. Interestingly, IL‐15, a key cytokine involved in lymphocyte activation and homeostasis, was detected in symptomatic individuals but not in healthy controls or asymptomatic cases. Further, plasma IL‐15 levels negatively correlated with T, B, and NK count suggesting a compensatory production of this cytokine in response to the profound lymphopenia. Finally, higher levels of plasma IL‐15 and IL‐6, but not sMAdCAM, were associated with a longer duration of hospitalization.
TL;DR: In this paper , a non-toxic, scalable and cost-effective fabrication colloidal lithography approach is reported to prepare super-hydrophobic cement surfaces, which can be easily adapted by the nonspecialist users.
01 Jan 2022
TL;DR: This chapter describes a method for encapsulation of genetically modified cyanobacterial strain into a sodium alginate matrix, and the utilization of these encapsulated cells to construct stable, artificial autotroph/heterotroph co-cultures.
TL;DR: The array of AMPs roles in TB therapy, possible mechanisms of actions, activities, and current advances in pragmatic strategies to improve challenges accompanying the delivery of AMP for tuberculosis therapeutics are outlined.
Abstract: Tuberculosis (TB) is a highly contagious infection with extensive mortality and morbidity. The rise of TB-superbugs (drug-resistant strains) with the increase of their resistance against conventional antibiotics have prompted the further search of new anti-mycobacterial agents. It is difficult to breach the barriers around TB bacteria including mycolic cell wall, granuloma, biofilm and mucus, by conventional antibiotics in a short span of time. Hence, there is an essential need for molecules with an unconventional mode of action and structure that can efficiently break the barriers around mycobacterium. Antimicrobial peptides (AMP) are essential components of innate immunity having cationic and amphipathic characteristics. Lines of evidence show that AMPs have good myco-bactericidal and anti-biofilm activity against normal as well as antibiotic resistant TB bacteria. These peptides have shown direct killing of bacteria by membrane lysis and indirect killing by activation of innate immune response in host cells by interacting with the component of the bacterial membrane and intracellular targets through diverse mechanisms. Despite a good anti-mycobacterial activity, some undesirable characteristics are also associated with AMP including hemolysis, cytotoxicity, susceptibility to proteolysis and poor pharmacokinetic profile, and hence only a few clinical studies have been conducted with these biomolecules. The design of new combinatorial therapies including AMPs and particulate drug delivery systems could be new potential alternatives to conventional antibiotics to fight MDR- and XDR-TB. This review outlined the array of AMP roles in TB therapy, possible mechanisms of actions, activities, and current advances in pragmatic strategies to improve challenges accompanying the delivery of AMP for tuberculosis therapeutics.
TL;DR: This paper proposes a novel approach to dynamic voltage and frequency scaling (DVFS) on CPU, GPU and RAM in a mobile MPSoC, which caters to the performance requirements of the executing application while consuming low power.
Abstract: Most modern mobile cyber-physical systems such as smartphones come equipped with multi-processor systems-on-chip (MPSoCs) with variant computing capacity both to cater to performance requirements and reduce power consumption when executing an application. In this paper, we propose a novel approach to dynamic voltage and frequency scaling (DVFS) on CPU, GPU and RAM in a mobile MPSoC, which caters to the performance requirements of the executing application while consuming low power. We evaluate our methodology on a real hardware platform, Odroid XU4, and the experimental results prove the approach to be 26% more power-efficient and 21% more thermal-efficient compared to the state-of-the-art system.
TL;DR: A Comprehensive Fault Prediction Model (FPM) for Software Reliability is presented, which can estimate the greatest quantity of faults in a software.
Abstract: We present a Comprehensive Fault Prediction Model (FPM) for Software Reliability in this article, which can estimate the greatest quantity of faults in a software. The proposed model implemented on a “Non-Homogeneous Poisson Process Model (NHPPM)” and includes fault reliant identification, rate of failure, and the software defect present after release. We looked at programmers' abilities, software performance, and flawless debugging as deciding factors for FPM. The Software Engineering Team Assessment and Prediction (SETAP) dataset is used for analysis of proposed FPM. The selected dataset is composed of sequential value which are linearly arranged over a given time duration. The attributes are analyzed to establish software reliability prediction model and comparison of proposed model is carried out with similar algorithms. The proposed FPM is executed in “Jira” and is compared with the present FPMs proposed in the literature.Results demonstrate comparatively less cumulative faults, and reduced residual errors which depicts high prediction accuracy and improved software reliability.