Objective:To assess the perspectives and barriers towards dengue preventive practices among the residents of Puducherry,India.Methods:A cross-sectional survey was conducted in 300 households in Puducherry,using a popu...Objective:To assess the perspectives and barriers towards dengue preventive practices among the residents of Puducherry,India.Methods:A cross-sectional survey was conducted in 300 households in Puducherry,using a population-proportionate(7:3)distribution from urban and rural areas by grid sampling.One adult interview per household was conducted and the participants were selected using a KISH grid.A semi-structured questionnaire based on the Health Belief Model(HBM)with additional questions on knowledge assessment was used.Knowledge was assessed based on the correctness of answers and the HBM scores were calculated on a 5-point Likert scale.Participants were categorized based on the median score under each domain.Logistic regression was used for adjusted analysis and models were built to predict the performances in each domain.Results:Four percent of the participants lacked basic knowledge regarding dengue transmission.While 208(69.3%)participants did not consider themselves at risk of contracting dengue within the next year,majority perceived dengue as a disease with low severity.Around 49.3%(148)were skeptical about the benefit of time and money spent on dengue prevention.Inadequate government efforts were stated as the major barrier(47.0%)and frequent reminders(142,47.3%)as the major cue to action.Age above 50 years(aOR 1.78,95%CI 1.04-3.06,P=0.037)and rural locality(aOR 2.68,95%CI 1.52-4.71,P=0.001)were found to be significantly associated with poor knowledge scores.Urban participants had a significantly higher chance to perceive low susceptibility as compared to the rural counterparts(aOR 1.74,95%CI 1.05-2.9,P=0.03).Participants with less than a high school education had low perceived benefits(aOR 2.46,95%CI 1.52-3.96,P<0.001)and low self-efficacy scores(aOR 2.66,95%CI 1.61-4.39,P<0.001).Conclusions:This study identifies key gaps in dengue prevention,including low perceived susceptibility,mild disease perception,limited knowledge of breeding sites,and overreliance on government efforts.Tailoring interventions to community needs,stratified to factors influencing the community perspectives can significantly improve dengue prevention efforts.展开更多
In ground water quality studies multivariate statistical techniques like Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Multivariate Analysis of Variance (MANOVA) wer...In ground water quality studies multivariate statistical techniques like Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Multivariate Analysis of Variance (MANOVA) were employed to evaluate the principal factors and mechanisms governing the spatial variations and to assess source apportionment at Lawspet area in Puducherry, India. PCA/FA has made the first known factor which showed the anthropogenic impact on ground water quality and this dominant factor explained 82.79% of the total variance. The other four factors identified geogenic and hardness components. The distribution of first factor scores portray high loading for EC, TDS, Na+ and Cl−(anthropogenic) in south east and south west parts of the study area, whereas other factor scores depict high loading for HCO3−, Mg2+, Ca2+ and TH (hardness and geogenic) in the north west and south west parts of the study area. K+ and SO42−(geogenic) are dominant in south eastern direction. Further MANOVA showed that there are significant differences between ground water quality parameters. The spatial distribution maps of water quality parameters have rendered a powerful and practical visual tool for defining, interpreting, and distinguishing the anthropogenic, hardness and geogenic factors in the study area. Further the study indicated that multivariate statistical methods have successfully assessed the ground water qualitatively and spatially with a more effective step towards ground water quality management.展开更多
Carbon footprint analysis is a method to quantify the life cycle Greenhouse Gases (GHGs) emissions and identify the measure to reduce climate change impacts. The Intergovernmental Panel on Climate Change (IPCC) has id...Carbon footprint analysis is a method to quantify the life cycle Greenhouse Gases (GHGs) emissions and identify the measure to reduce climate change impacts. The Intergovernmental Panel on Climate Change (IPCC) has identified that the global warming and climate change which is one of the most important issues in the domain of environment are caused by the excessive emission of Greenhouse Gases (GHG) mainly constituting Carbon dioxide (CO2), Methane (CH4) and Nitrous oxide (N2O). The municipal wastewater treatment plant receives wastewater for treatment and finally discharges the treated effluent. The emissions of GHG during the treatment of wastewater as well as during the treatment process of sludge and also for energy generation are known to be on-site GHG emissions. Off-site GHG emissions are generated due to transportation and disposal of sludge, off-site energy and chemical production. In Puducherry, the municipal wastewater is being treated using oxidation ponds, Upflow Anaerobic Sludge Blanket (UASB) and Sequencing Batch Reactor (SBR). Wastewater treatment using Sequencing Batch Reactor (SBR) technology is one of the state-of-the art wastewater management systems. In this technology equalization, biological treatment and secondary clarification are performed in a single reactor in a time control sequence. The emissions of GHG from the Oxidation ponds of 12.5 MLD, UASB reactor of 2.5 MLD and SBR of 17 MLD were assessed based on the IPCC guidelines and the total emissions of GHG in terms of equivalent of CO2 were compared. The performance of the SBR is more efficient and the emissions of GHG are less than the emissions in the UASB as well as in oxidation ponds. The emission of GHG in SBR is about 60% of the existing treatment systems of oxidation ponds and UASB thus a reduction of 40% GHG emission could be achieved.展开更多
During the COVID-19 pandemic,several studies have shown that severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection is associated with a substantial reduction in the risk of subsequent reinfection with a...During the COVID-19 pandemic,several studies have shown that severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection is associated with a substantial reduction in the risk of subsequent reinfection with antigenically-related variants of the virus for at least 6 months[1,2].展开更多
The change of land use plays a major role in the developmental activity of a developing country. Due to rapid growth of urbanisation and dramatic increasing population, the fertile agricultural land has been converted...The change of land use plays a major role in the developmental activity of a developing country. Due to rapid growth of urbanisation and dramatic increasing population, the fertile agricultural land has been converted to built-up area with respect to the demand for housing requirement and to the need for basic infrastructure facilities. The quantum of open space and surface water bodies has also been encroached. There has been a rapid growth of population in Puducherry city from 3.48 million in 1991 to 5.44 million in 2011. Hence the conservation of natural resources becomes one of the major challenges especially in small and medium town. This study was conducted to assess the effect of change on land use in urban agglomeration area of Puducherry city for the duration period from 1997 to 2017. There has been an increase in population in Puducherry city mainly attributed to higher scale of migration from adjoining rural areas and medium town for better education, job opportunities and quality life. Hence, it has been strongly recommended for stringent Development Control Regulations to quantify the urban sprawl and manage the impact of urbanisation of land use/land cover in Puducherry city.展开更多
With respect to groundwater deterioration from human activities a unique situation of co-disposal of non-engineered Municipal Solid Waste (MSW) dumping and Secondary Wastewater (SWW) disposal on land prevails simultan...With respect to groundwater deterioration from human activities a unique situation of co-disposal of non-engineered Municipal Solid Waste (MSW) dumping and Secondary Wastewater (SWW) disposal on land prevails simultaneously within the same campus at Puducherry in India. Broadly the objective of the study is to apply and compare Artificial Neural Network (ANN) and Multi Linear Regression (MLR) models on groundwater quality applying Canadian Water Quality Index (CWQI). Totally, 1065 water samples from 68 bore wells were collected for two years on monthly basis and tested for 17 physio-chemical and bacteriological parameters. However the study was restricted to the pollution aspects of 10 physio-chemical parameters such as EC, TDS, TH, , Cl-, , Na+, Ca2+, Mg2+ and K+. As there is wide spatial variation (2 to 3 km radius) with ground elevation (more than 45 m) among the bore wells it is appropriate to study the groundwater quality using Multivariate Statistical Analysis and ANN. The selected ten parameters were subjected to Hierarchical Cluster Analysis (HCA) and the clustering procedure generated three well defined clusters. Cluster wise important physio-chemical attributes which were altered by MSW and SWW operations, are statistically assessed. The CWQI was evolved with the objective to deliver a mechanism for interpreting the water quality data for all three clusters. The ANOVA test results viz., F-statistic (F = 134.55) and p-value (p = 0.000 2, low RMSE and MAE values but in Cluster 3 only ANN model fared well. Thus this study will be very useful to decision makers in solving water quality problems.展开更多
The rapid advent in artificial intelligence and big data has revolutionized the dynamic requirement in the demands of the computing resource for executing specific tasks in the cloud environment.The process of achievi...The rapid advent in artificial intelligence and big data has revolutionized the dynamic requirement in the demands of the computing resource for executing specific tasks in the cloud environment.The process of achieving autonomic resource management is identified to be a herculean task due to its huge distributed and heterogeneous environment.Moreover,the cloud network needs to provide autonomic resource management and deliver potential services to the clients by complying with the requirements of Quality-of-Service(QoS)without impacting the Service Level Agreements(SLAs).However,the existing autonomic cloud resource managing frameworks are not capable in handling the resources of the cloud with its dynamic requirements.In this paper,Coot Bird Behavior Model-based Workload Aware Autonomic Resource Management Scheme(CBBM-WARMS)is proposed for handling the dynamic requirements of cloud resources through the estimation of workload that need to be policed by the cloud environment.This CBBM-WARMS initially adopted the algorithm of adaptive density peak clustering for workloads clustering of the cloud.Then,it utilized the fuzzy logic during the process of workload scheduling for achieving the determining the availability of cloud resources.It further used CBBM for potential Virtual Machine(VM)deployment that attributes towards the provision of optimal resources.It is proposed with the capability of achieving optimal QoS with minimized time,energy consumption,SLA cost and SLA violation.The experimental validation of the proposed CBBMWARMS confirms minimized SLA cost of 19.21%and reduced SLA violation rate of 18.74%,better than the compared autonomic cloud resource managing frameworks.展开更多
Trauma is a major cause of morbidity and mortality across the globe accounting for significant health burden.Relevance of trauma care revolves round prevention,planning and execution of safety regulations.Acquisition ...Trauma is a major cause of morbidity and mortality across the globe accounting for significant health burden.Relevance of trauma care revolves round prevention,planning and execution of safety regulations.Acquisition of the actual data regarding the type of trauma,affected age group,timings of trauma occurrence,involved part of the body constitute the initial steps in the building of the composite overview of the epidemiology of trauma.In succession,would be the measures directed towards avoidance of trauma and capacity building of trauma center.展开更多
Graphical abstracts(GAs)are emerging as a pivotal tool in medical literature,enhancing the dissemination and comprehension of complex clinical data through visual summaries.This editorial highlights the significant ad...Graphical abstracts(GAs)are emerging as a pivotal tool in medical literature,enhancing the dissemination and comprehension of complex clinical data through visual summaries.This editorial highlights the significant advantages of GAs,including improved clarity,increased reader engagement,and enhanced visibility of research findings.By transforming intricate scientific data into accessible visual formats,these abstracts facilitate quick and effective knowledge transfer,crucial in clinical decision-making and patient care.However,challenges such as potential data misrepresentation due to oversimplification,the skill gap in graphic design among researchers,and the lack of standardized creation guidelines pose barriers to their widespread adoption.Additionally,while software such as Adobe Illustrator,BioRender,and Canva are commonly employed to create these visuals,not all researchers may be proficient in their use.To address these issues,we recommend that academic journals establish clear guidelines and provide necessary design training to researchers.This proactive approach will ensure the creation of high-quality GAs,promote their standardization,and expand their use in clinical reporting,ultimately benefiting the medical community and improving healthcare outcomes.展开更多
Teacher education at the foundational and preparatory stages plays a crucial role in shaping early childhood learning experiences.The National Curriculum Framework for School Education(NCFSE)2023 provides a structured...Teacher education at the foundational and preparatory stages plays a crucial role in shaping early childhood learning experiences.The National Curriculum Framework for School Education(NCFSE)2023 provides a structured pedagogical approach to address challenges in these stages.However,despite these policy frameworks,teachers in Kendriya Vidyalayas(KVs)continue to face numerous pedagogical challenges.This paper aims to explore and analyze the pedagogical challenges encountered by KV teachers in foundational and preparatory stage classrooms and compare them with the challenges addressed in NCFSE 2023.Using qualitative research methods,data were collected through structured online interviews with 10 KV teachers from different campuses.This paper investigated various challenges,including classroom management,language barriers,a lack of inclusive education strategies,insufficient infrastructure,limited parental involvement,and difficulties in integrating technology into teaching practices.The findings highlight the gap between policy recommendations and ground-level implementation.Based on these insights,the study suggests recommendations such as specialized teacher training,recruitment of special educators,improved infrastructure,enhanced parental engagement,and policy-driven interventions to bridge the gap between policy frameworks and real-world classroom experiences.The study concludes that addressing these challenges through targeted reforms can create a more inclusive and effective learning environment,fostering holistic student development at the foundational and preparatory stages.展开更多
Virtualization is an indispensable part of the cloud for the objective of deploying different virtual servers over the same physical layer.However,the increase in the number of applications executing on the repositori...Virtualization is an indispensable part of the cloud for the objective of deploying different virtual servers over the same physical layer.However,the increase in the number of applications executing on the repositories results in increased overload due to the adoption of cloud services.Moreover,the migration of applications on the cloud with optimized resource allocation is a herculean task even though it is employed for minimizing the dilemma of allocating resources.In this paper,a Fire Hawk Optimization enabled Deep Learning Scheme(FHOEDLS)is proposed for minimizing the overload and optimizing the resource allocation on the hybrid cloud container architecture for migrating interoperability based applications This FHOEDLS achieves the load prediction through the utilization of deep CNN-GRU-AM model for attaining resource allocation and better migration of applications.It specifically adopted the Fire Hawk Optimization Algorithm(FHOA)for optimizing the parameters that influence the factors that aid in better interoperable application migration with improved resource allocation and minimized overhead.It considered the factors of resource capacity,transmission cost,demand,and predicted load into account during the formulation of the objective function utilized for resource allocation and application migration.The cloud simulation of this FHOEDLS is achieved using a container,Virtual Machine(VM),and Physical Machine(PM).The results of this proposed FHOEDLS confirmed a better resource capability of 0.418 and a minimized load of 0.0061.展开更多
This paper presents an improved,energy-efficient Model Predictive Current Control(MPCC)strategy based on centroid-based virtual voltage vector synthesis for three-phase inverter-fed induction motor drives in electric ...This paper presents an improved,energy-efficient Model Predictive Current Control(MPCC)strategy based on centroid-based virtual voltage vector synthesis for three-phase inverter-fed induction motor drives in electric vehicle(EV)applications.Unlike conventional finite-set MPCC methods that rely on cost function evaluation over discrete switching states,the proposed approach eliminates the need for look-up tables by employing a pre-defined set of virtual vectors.These centroid-based virtual voltage vectors are synthesized by combining two adjacent active vectors and two nonzero voltage vectors in opposite directions adjacent to the sector replacing the traditional switching set.They approximate the reference voltage vector in both magnitude and phase angle,thereby reducing current tracking error through a simplified cost function.The number of candidate vectors is reduced,preserving computational efficiency.Furthermore,the scheme ensures zero average common-mode voltage(CMV)per sampling interval by completely avoiding zero-voltage vectors(ZVVs).The proposed method reduces torque ripple by up to 17%compared to the conventional approach and lowers stator current total harmonic distortion(THD)by 37%,while ensuring evenly distributed switching transitions among inverter legs.This results in reduced switching losses and enhanced drive efficiency-particularly advantageous in EV applications.Experimental validation under the high-speed extra urban driving cycle(EUDC)and low-speed ECE-R15 cycle,including torque ripple and energy consumption analysis,confirms the effectiveness of the approach,achieving an overall efficiency of 83.3%.展开更多
The underlying molecular changes that result in minimal change disease(ne-phrotic syndrome)require an in-depth analysis.Current molecular studies have shown the involvement of zinc fingers and homeobox transcriptional...The underlying molecular changes that result in minimal change disease(ne-phrotic syndrome)require an in-depth analysis.Current molecular studies have shown the involvement of zinc fingers and homeobox transcriptional factors in its pathogenesis.The application of therapeutic drugs relies on understanding the cascade of molecular events to determine their efficacy in managing the clinical condition.展开更多
Background:In this present study,we have screened major phytoconstituents of Nilavembu Kudineer against critical COVID-19 target proteins that cause severe pneumonia globally.In addition,a human receptor protein that ...Background:In this present study,we have screened major phytoconstituents of Nilavembu Kudineer against critical COVID-19 target proteins that cause severe pneumonia globally.In addition,a human receptor protein that facilitates viral entry into the host cell was also targeted.Methods:Phytoconstituents derived from Nilavembu Kudineer formulation were docked against 12 major proteins,which help viral entry,viral proliferation,and a human receptor facilitate the viral entry into the host cells.The major metabolites of Nilavembu Kudineer were retrieved based on literature from the PubChem database.The docked complex was subjected to MD simulation studies to verify its binding mode and the stability of the interactions.The binding energy analysis was performed to estimate the binding affinity between the compounds and their respective receptors using MM/GBSA.Results:Docking studies have shown that three major plants in the polyherbal formulation,Andrographis paniculata,Mollugo cerviana,and Zingiber officinale,have 14 potential compounds that have better binding affinity against COVID-19 proteins and their host receptor protein.MD studies and binding energy calculations also confirmed that these compounds possess better stability and strong binding energy with these proteins.Conclusion:In silico analyses suggest that phytoconstituents from Nilavembu Kudineer possess promising multi-target antiviral activity against COVID-19.These findings provide a rationale for further experimental studies to validate their therapeutic potential for the treatment of COVID-19.展开更多
This paper presents the dynamical properties of a discrete-time prey-predator model with refuge in prey under imprecise biological parameters.We consider the refuge concept of prey,which is proportional to the density...This paper presents the dynamical properties of a discrete-time prey-predator model with refuge in prey under imprecise biological parameters.We consider the refuge concept of prey,which is proportional to the density of prey species with interval parameters.The model develops with natural interval parameters since the uncertainties of parameters of any ecological system are a widespread phenomenon in nature.The equilibria of the model are obtained,and the dynamic behaviours of the proposed system are examined.Simulations of the model are performed for different parameters of the model.Numerical simulations show that the proposed discrete model exhibits rich dynamics of a chaotic and complex nature.Our study,through analytical derivation and numerical example,presents the effect of refuge on population dynamics under imprecise biological parameters.展开更多
Pancreatic carcinoma is one of the most lethal malignancies and has a dismal prognosis.However,advances in diagnostic modalities and better multidisciplinary management have contributed to improved survival in these p...Pancreatic carcinoma is one of the most lethal malignancies and has a dismal prognosis.However,advances in diagnostic modalities and better multidisciplinary management have contributed to improved survival in these patients.Of late,various recurrence patterns have been observed;the most common of them being distant metastasis followed by the pancreatic bed and lymph node recurrence.Recurrence in the remnant pancreas is on the rise due to improved survival in patients who previously underwent surgery for pancreatic cancer.Total remnant pancreatectomy is an appealing option in resectable remnant pancreatic carcinoma without distant metastasis.It is an entity showing an increasing incidence and demanding further in-depth studies to elucidate the exact pathological mechanism and to establish appropriate management protocols.展开更多
The uncertain nature of mapping user tasks to Virtual Machines(VMs) causes system failure or execution delay in Cloud Computing.To maximize cloud resource throughput and decrease user response time,load balancing is n...The uncertain nature of mapping user tasks to Virtual Machines(VMs) causes system failure or execution delay in Cloud Computing.To maximize cloud resource throughput and decrease user response time,load balancing is needed.Possible load balancing is needed to overcome user task execution delay and system failure.Most swarm intelligent dynamic load balancing solutions that used hybrid metaheuristic algorithms failed to balance exploitation and exploration.Most load balancing methods were insufficient to handle the growing uncertainty in job distribution to VMs.Thus,the Hybrid Spotted Hyena and Whale Optimization Algorithm-based Dynamic Load Balancing Mechanism(HSHWOA) partitions traffic among numerous VMs or servers to guarantee user chores are completed quickly.This load balancing approach improved performance by considering average network latency,dependability,and throughput.This hybridization of SHOA and WOA aims to improve the trade-off between exploration and exploitation,assign jobs to VMs with more solution diversity,and prevent the solution from reaching a local optimality.Pysim-based experimental verification and testing for the proposed HSHWOA showed a 12.38% improvement in minimized makespan,16.21% increase in mean throughput,and 14.84% increase in network stability compared to baseline load balancing strategies like Fractional Improved Whale Social Optimization Based VM Migration Strategy FIWSOA,HDWOA,and Binary Bird Swap.展开更多
BACKGROUND In intertrochanteric fractures,the positive medial cortex support reduction is considered to provide a non-anatomical buttress that helps in controlled collapse.AIM To analyze the concept of medial cortical...BACKGROUND In intertrochanteric fractures,the positive medial cortex support reduction is considered to provide a non-anatomical buttress that helps in controlled collapse.AIM To analyze the concept of medial cortical reduction(MCR)and its clinical and radiological association in geriatric intertrochanteric femur fractures.METHODS Geriatric patients who presented with AO/OTA 31A1 and 31A2 femur fractures and treated with proximal femoral nailing between July 2021 and June 2023 were include in this prospective cohort study.Based on the degree of MCR,they were divided into positive,neutral,or negative MCR groups.The demographic baseline characteristics,postoperative radiographic femoral neck-shaft angle and neck length were analyzed at 6,12 and 24 weeks post-surgery.Functional outcomes such as modified Harris Hip Score(HHS)and time to full-weight bearing were also analyzed.RESULTS 47 patients(Male:Famale 35:12)with mean age of 65.8±4.2 years were included in this study.Twenty-two cases had neutral support,nine had negative support,and sixteen had positive support in the medial cortex postoperatively.Baseline characteristics of the three groups were comparable.No significant differences were found in the femur neck length and femur neck-shaft angle changes post-surgery between the groups.The modified HHS was not found to be significant between the groups(P=0.883)as that of the time to full weight bearing(P=0.789).CONCLUSION The type of reduction achieved based on medial cortical alignment does not affect the femur neck length shortening or varus collapse.Future randomized controlled trials are needed to validate the findings noted in the study.展开更多
Although organic compounds are considered to be promising electrode materials with their remarkable characteristics such as diverse structures,design controllability,and environmental friendliness,their low charge-tra...Although organic compounds are considered to be promising electrode materials with their remarkable characteristics such as diverse structures,design controllability,and environmental friendliness,their low charge-transfer capability and limited cycling durability hinder their application in aqueous proton batteries.Herein,we prepared a noncovalent phenazine-based graphene aerogel(H/G)composite for aqueous proton storage,which is realized by redox-active Hexaazatrinaphthalene(HATN)organic compound combined with conductive reduced graphene oxide(rGO).The integration of rGO into HATN not only effectively optimizes the electronic structure of the H/G composite to enhance its electrochemical activity,but also the favorable noncovalent π-π interaction existed between HATN and rGO provides a stable structure for fast electron transportation.The obvious electron transfer in the aerogel composite promotes fast and reversible redox reactions occurred with the imino-active HATN in the composite electrode for proton uptake/removal in an aqueous acidic electrolyte,which are demonstrated by in-situ Fourier transform infrared(FTIR)investigation,theoretical calculations and experimental measurements.Therefore,it can deliver a fast,stable and efficient aqueous proton storage behavior with a large specific capacity of 274 mA·h·g^(-1) and considerable calendar life with~100%capacity retention after 3000 cycles,surpassing previously reported proton-based organic electrodes in aqueous acidic electrolytes.Furthermore,an outstanding soft-package aqueous proton(APB)has been fabricated with considerable long-term cycling stability.展开更多
Background:Hydrastis canadensis mother tincture(HC-MT)is a preparation derived from the roots of the Hydrastis canadensis plant,commonly known as goldenseal.Despite its widespread use in homeopathic clinics for cancer...Background:Hydrastis canadensis mother tincture(HC-MT)is a preparation derived from the roots of the Hydrastis canadensis plant,commonly known as goldenseal.Despite its widespread use in homeopathic clinics for cancer treatment,there has been a lack of molecular studies assessing its efficacy against cancer.The aim of this study is to investigate the apoptotic and anti-metastatic properties of HC-MT in human lung adenocarcinoma cells(A549).Methods:MTT and LDH assays were conducted to assess the cytotoxic potential of HC-MT on tumor cells.Various staining techniques were employed to investigate the apoptotic potential,which was then confirmed through DNA fragmentation assay and western blotting.Results:The results showed that the HC-MT exhibited anti-proliferative effects with an IC50 concentration of 13.16μL/mL with apoptosis as the predominant mode of cell death.Treatment with HC-MT at IC50 concentration resulted in cell cycle arrest at the G1 phase.Additionally,HC-MT exhibited anti-migratory properties.Conclusion:In summary,HC-MT demonstrated significant anti-cancer effects in lung cancer cells,inducing apoptosis primarily and arresting cell cycle progression at G1 phase mediated by ROS.It also exhibited anti-metastatic potential,with its active compound berberine showing interaction with key proteins involved in cancer progression.These findings suggest a promising therapeutic potential of HC-MT against lung cancer.展开更多
基金This work was supported intramurally by Student thesis funding for Masters in public Health Entomology(2022)from the Indian Council of Medical Research-Vector Control Research Centre,Puducherry.
文摘Objective:To assess the perspectives and barriers towards dengue preventive practices among the residents of Puducherry,India.Methods:A cross-sectional survey was conducted in 300 households in Puducherry,using a population-proportionate(7:3)distribution from urban and rural areas by grid sampling.One adult interview per household was conducted and the participants were selected using a KISH grid.A semi-structured questionnaire based on the Health Belief Model(HBM)with additional questions on knowledge assessment was used.Knowledge was assessed based on the correctness of answers and the HBM scores were calculated on a 5-point Likert scale.Participants were categorized based on the median score under each domain.Logistic regression was used for adjusted analysis and models were built to predict the performances in each domain.Results:Four percent of the participants lacked basic knowledge regarding dengue transmission.While 208(69.3%)participants did not consider themselves at risk of contracting dengue within the next year,majority perceived dengue as a disease with low severity.Around 49.3%(148)were skeptical about the benefit of time and money spent on dengue prevention.Inadequate government efforts were stated as the major barrier(47.0%)and frequent reminders(142,47.3%)as the major cue to action.Age above 50 years(aOR 1.78,95%CI 1.04-3.06,P=0.037)and rural locality(aOR 2.68,95%CI 1.52-4.71,P=0.001)were found to be significantly associated with poor knowledge scores.Urban participants had a significantly higher chance to perceive low susceptibility as compared to the rural counterparts(aOR 1.74,95%CI 1.05-2.9,P=0.03).Participants with less than a high school education had low perceived benefits(aOR 2.46,95%CI 1.52-3.96,P<0.001)and low self-efficacy scores(aOR 2.66,95%CI 1.61-4.39,P<0.001).Conclusions:This study identifies key gaps in dengue prevention,including low perceived susceptibility,mild disease perception,limited knowledge of breeding sites,and overreliance on government efforts.Tailoring interventions to community needs,stratified to factors influencing the community perspectives can significantly improve dengue prevention efforts.
文摘In ground water quality studies multivariate statistical techniques like Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Multivariate Analysis of Variance (MANOVA) were employed to evaluate the principal factors and mechanisms governing the spatial variations and to assess source apportionment at Lawspet area in Puducherry, India. PCA/FA has made the first known factor which showed the anthropogenic impact on ground water quality and this dominant factor explained 82.79% of the total variance. The other four factors identified geogenic and hardness components. The distribution of first factor scores portray high loading for EC, TDS, Na+ and Cl−(anthropogenic) in south east and south west parts of the study area, whereas other factor scores depict high loading for HCO3−, Mg2+, Ca2+ and TH (hardness and geogenic) in the north west and south west parts of the study area. K+ and SO42−(geogenic) are dominant in south eastern direction. Further MANOVA showed that there are significant differences between ground water quality parameters. The spatial distribution maps of water quality parameters have rendered a powerful and practical visual tool for defining, interpreting, and distinguishing the anthropogenic, hardness and geogenic factors in the study area. Further the study indicated that multivariate statistical methods have successfully assessed the ground water qualitatively and spatially with a more effective step towards ground water quality management.
文摘Carbon footprint analysis is a method to quantify the life cycle Greenhouse Gases (GHGs) emissions and identify the measure to reduce climate change impacts. The Intergovernmental Panel on Climate Change (IPCC) has identified that the global warming and climate change which is one of the most important issues in the domain of environment are caused by the excessive emission of Greenhouse Gases (GHG) mainly constituting Carbon dioxide (CO2), Methane (CH4) and Nitrous oxide (N2O). The municipal wastewater treatment plant receives wastewater for treatment and finally discharges the treated effluent. The emissions of GHG during the treatment of wastewater as well as during the treatment process of sludge and also for energy generation are known to be on-site GHG emissions. Off-site GHG emissions are generated due to transportation and disposal of sludge, off-site energy and chemical production. In Puducherry, the municipal wastewater is being treated using oxidation ponds, Upflow Anaerobic Sludge Blanket (UASB) and Sequencing Batch Reactor (SBR). Wastewater treatment using Sequencing Batch Reactor (SBR) technology is one of the state-of-the art wastewater management systems. In this technology equalization, biological treatment and secondary clarification are performed in a single reactor in a time control sequence. The emissions of GHG from the Oxidation ponds of 12.5 MLD, UASB reactor of 2.5 MLD and SBR of 17 MLD were assessed based on the IPCC guidelines and the total emissions of GHG in terms of equivalent of CO2 were compared. The performance of the SBR is more efficient and the emissions of GHG are less than the emissions in the UASB as well as in oxidation ponds. The emission of GHG in SBR is about 60% of the existing treatment systems of oxidation ponds and UASB thus a reduction of 40% GHG emission could be achieved.
文摘During the COVID-19 pandemic,several studies have shown that severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection is associated with a substantial reduction in the risk of subsequent reinfection with antigenically-related variants of the virus for at least 6 months[1,2].
文摘The change of land use plays a major role in the developmental activity of a developing country. Due to rapid growth of urbanisation and dramatic increasing population, the fertile agricultural land has been converted to built-up area with respect to the demand for housing requirement and to the need for basic infrastructure facilities. The quantum of open space and surface water bodies has also been encroached. There has been a rapid growth of population in Puducherry city from 3.48 million in 1991 to 5.44 million in 2011. Hence the conservation of natural resources becomes one of the major challenges especially in small and medium town. This study was conducted to assess the effect of change on land use in urban agglomeration area of Puducherry city for the duration period from 1997 to 2017. There has been an increase in population in Puducherry city mainly attributed to higher scale of migration from adjoining rural areas and medium town for better education, job opportunities and quality life. Hence, it has been strongly recommended for stringent Development Control Regulations to quantify the urban sprawl and manage the impact of urbanisation of land use/land cover in Puducherry city.
文摘With respect to groundwater deterioration from human activities a unique situation of co-disposal of non-engineered Municipal Solid Waste (MSW) dumping and Secondary Wastewater (SWW) disposal on land prevails simultaneously within the same campus at Puducherry in India. Broadly the objective of the study is to apply and compare Artificial Neural Network (ANN) and Multi Linear Regression (MLR) models on groundwater quality applying Canadian Water Quality Index (CWQI). Totally, 1065 water samples from 68 bore wells were collected for two years on monthly basis and tested for 17 physio-chemical and bacteriological parameters. However the study was restricted to the pollution aspects of 10 physio-chemical parameters such as EC, TDS, TH, , Cl-, , Na+, Ca2+, Mg2+ and K+. As there is wide spatial variation (2 to 3 km radius) with ground elevation (more than 45 m) among the bore wells it is appropriate to study the groundwater quality using Multivariate Statistical Analysis and ANN. The selected ten parameters were subjected to Hierarchical Cluster Analysis (HCA) and the clustering procedure generated three well defined clusters. Cluster wise important physio-chemical attributes which were altered by MSW and SWW operations, are statistically assessed. The CWQI was evolved with the objective to deliver a mechanism for interpreting the water quality data for all three clusters. The ANOVA test results viz., F-statistic (F = 134.55) and p-value (p = 0.000 2, low RMSE and MAE values but in Cluster 3 only ANN model fared well. Thus this study will be very useful to decision makers in solving water quality problems.
文摘The rapid advent in artificial intelligence and big data has revolutionized the dynamic requirement in the demands of the computing resource for executing specific tasks in the cloud environment.The process of achieving autonomic resource management is identified to be a herculean task due to its huge distributed and heterogeneous environment.Moreover,the cloud network needs to provide autonomic resource management and deliver potential services to the clients by complying with the requirements of Quality-of-Service(QoS)without impacting the Service Level Agreements(SLAs).However,the existing autonomic cloud resource managing frameworks are not capable in handling the resources of the cloud with its dynamic requirements.In this paper,Coot Bird Behavior Model-based Workload Aware Autonomic Resource Management Scheme(CBBM-WARMS)is proposed for handling the dynamic requirements of cloud resources through the estimation of workload that need to be policed by the cloud environment.This CBBM-WARMS initially adopted the algorithm of adaptive density peak clustering for workloads clustering of the cloud.Then,it utilized the fuzzy logic during the process of workload scheduling for achieving the determining the availability of cloud resources.It further used CBBM for potential Virtual Machine(VM)deployment that attributes towards the provision of optimal resources.It is proposed with the capability of achieving optimal QoS with minimized time,energy consumption,SLA cost and SLA violation.The experimental validation of the proposed CBBMWARMS confirms minimized SLA cost of 19.21%and reduced SLA violation rate of 18.74%,better than the compared autonomic cloud resource managing frameworks.
文摘Trauma is a major cause of morbidity and mortality across the globe accounting for significant health burden.Relevance of trauma care revolves round prevention,planning and execution of safety regulations.Acquisition of the actual data regarding the type of trauma,affected age group,timings of trauma occurrence,involved part of the body constitute the initial steps in the building of the composite overview of the epidemiology of trauma.In succession,would be the measures directed towards avoidance of trauma and capacity building of trauma center.
文摘Graphical abstracts(GAs)are emerging as a pivotal tool in medical literature,enhancing the dissemination and comprehension of complex clinical data through visual summaries.This editorial highlights the significant advantages of GAs,including improved clarity,increased reader engagement,and enhanced visibility of research findings.By transforming intricate scientific data into accessible visual formats,these abstracts facilitate quick and effective knowledge transfer,crucial in clinical decision-making and patient care.However,challenges such as potential data misrepresentation due to oversimplification,the skill gap in graphic design among researchers,and the lack of standardized creation guidelines pose barriers to their widespread adoption.Additionally,while software such as Adobe Illustrator,BioRender,and Canva are commonly employed to create these visuals,not all researchers may be proficient in their use.To address these issues,we recommend that academic journals establish clear guidelines and provide necessary design training to researchers.This proactive approach will ensure the creation of high-quality GAs,promote their standardization,and expand their use in clinical reporting,ultimately benefiting the medical community and improving healthcare outcomes.
文摘Teacher education at the foundational and preparatory stages plays a crucial role in shaping early childhood learning experiences.The National Curriculum Framework for School Education(NCFSE)2023 provides a structured pedagogical approach to address challenges in these stages.However,despite these policy frameworks,teachers in Kendriya Vidyalayas(KVs)continue to face numerous pedagogical challenges.This paper aims to explore and analyze the pedagogical challenges encountered by KV teachers in foundational and preparatory stage classrooms and compare them with the challenges addressed in NCFSE 2023.Using qualitative research methods,data were collected through structured online interviews with 10 KV teachers from different campuses.This paper investigated various challenges,including classroom management,language barriers,a lack of inclusive education strategies,insufficient infrastructure,limited parental involvement,and difficulties in integrating technology into teaching practices.The findings highlight the gap between policy recommendations and ground-level implementation.Based on these insights,the study suggests recommendations such as specialized teacher training,recruitment of special educators,improved infrastructure,enhanced parental engagement,and policy-driven interventions to bridge the gap between policy frameworks and real-world classroom experiences.The study concludes that addressing these challenges through targeted reforms can create a more inclusive and effective learning environment,fostering holistic student development at the foundational and preparatory stages.
文摘Virtualization is an indispensable part of the cloud for the objective of deploying different virtual servers over the same physical layer.However,the increase in the number of applications executing on the repositories results in increased overload due to the adoption of cloud services.Moreover,the migration of applications on the cloud with optimized resource allocation is a herculean task even though it is employed for minimizing the dilemma of allocating resources.In this paper,a Fire Hawk Optimization enabled Deep Learning Scheme(FHOEDLS)is proposed for minimizing the overload and optimizing the resource allocation on the hybrid cloud container architecture for migrating interoperability based applications This FHOEDLS achieves the load prediction through the utilization of deep CNN-GRU-AM model for attaining resource allocation and better migration of applications.It specifically adopted the Fire Hawk Optimization Algorithm(FHOA)for optimizing the parameters that influence the factors that aid in better interoperable application migration with improved resource allocation and minimized overhead.It considered the factors of resource capacity,transmission cost,demand,and predicted load into account during the formulation of the objective function utilized for resource allocation and application migration.The cloud simulation of this FHOEDLS is achieved using a container,Virtual Machine(VM),and Physical Machine(PM).The results of this proposed FHOEDLS confirmed a better resource capability of 0.418 and a minimized load of 0.0061.
文摘This paper presents an improved,energy-efficient Model Predictive Current Control(MPCC)strategy based on centroid-based virtual voltage vector synthesis for three-phase inverter-fed induction motor drives in electric vehicle(EV)applications.Unlike conventional finite-set MPCC methods that rely on cost function evaluation over discrete switching states,the proposed approach eliminates the need for look-up tables by employing a pre-defined set of virtual vectors.These centroid-based virtual voltage vectors are synthesized by combining two adjacent active vectors and two nonzero voltage vectors in opposite directions adjacent to the sector replacing the traditional switching set.They approximate the reference voltage vector in both magnitude and phase angle,thereby reducing current tracking error through a simplified cost function.The number of candidate vectors is reduced,preserving computational efficiency.Furthermore,the scheme ensures zero average common-mode voltage(CMV)per sampling interval by completely avoiding zero-voltage vectors(ZVVs).The proposed method reduces torque ripple by up to 17%compared to the conventional approach and lowers stator current total harmonic distortion(THD)by 37%,while ensuring evenly distributed switching transitions among inverter legs.This results in reduced switching losses and enhanced drive efficiency-particularly advantageous in EV applications.Experimental validation under the high-speed extra urban driving cycle(EUDC)and low-speed ECE-R15 cycle,including torque ripple and energy consumption analysis,confirms the effectiveness of the approach,achieving an overall efficiency of 83.3%.
文摘The underlying molecular changes that result in minimal change disease(ne-phrotic syndrome)require an in-depth analysis.Current molecular studies have shown the involvement of zinc fingers and homeobox transcriptional factors in its pathogenesis.The application of therapeutic drugs relies on understanding the cascade of molecular events to determine their efficacy in managing the clinical condition.
文摘Background:In this present study,we have screened major phytoconstituents of Nilavembu Kudineer against critical COVID-19 target proteins that cause severe pneumonia globally.In addition,a human receptor protein that facilitates viral entry into the host cell was also targeted.Methods:Phytoconstituents derived from Nilavembu Kudineer formulation were docked against 12 major proteins,which help viral entry,viral proliferation,and a human receptor facilitate the viral entry into the host cells.The major metabolites of Nilavembu Kudineer were retrieved based on literature from the PubChem database.The docked complex was subjected to MD simulation studies to verify its binding mode and the stability of the interactions.The binding energy analysis was performed to estimate the binding affinity between the compounds and their respective receptors using MM/GBSA.Results:Docking studies have shown that three major plants in the polyherbal formulation,Andrographis paniculata,Mollugo cerviana,and Zingiber officinale,have 14 potential compounds that have better binding affinity against COVID-19 proteins and their host receptor protein.MD studies and binding energy calculations also confirmed that these compounds possess better stability and strong binding energy with these proteins.Conclusion:In silico analyses suggest that phytoconstituents from Nilavembu Kudineer possess promising multi-target antiviral activity against COVID-19.These findings provide a rationale for further experimental studies to validate their therapeutic potential for the treatment of COVID-19.
文摘This paper presents the dynamical properties of a discrete-time prey-predator model with refuge in prey under imprecise biological parameters.We consider the refuge concept of prey,which is proportional to the density of prey species with interval parameters.The model develops with natural interval parameters since the uncertainties of parameters of any ecological system are a widespread phenomenon in nature.The equilibria of the model are obtained,and the dynamic behaviours of the proposed system are examined.Simulations of the model are performed for different parameters of the model.Numerical simulations show that the proposed discrete model exhibits rich dynamics of a chaotic and complex nature.Our study,through analytical derivation and numerical example,presents the effect of refuge on population dynamics under imprecise biological parameters.
文摘Pancreatic carcinoma is one of the most lethal malignancies and has a dismal prognosis.However,advances in diagnostic modalities and better multidisciplinary management have contributed to improved survival in these patients.Of late,various recurrence patterns have been observed;the most common of them being distant metastasis followed by the pancreatic bed and lymph node recurrence.Recurrence in the remnant pancreas is on the rise due to improved survival in patients who previously underwent surgery for pancreatic cancer.Total remnant pancreatectomy is an appealing option in resectable remnant pancreatic carcinoma without distant metastasis.It is an entity showing an increasing incidence and demanding further in-depth studies to elucidate the exact pathological mechanism and to establish appropriate management protocols.
文摘The uncertain nature of mapping user tasks to Virtual Machines(VMs) causes system failure or execution delay in Cloud Computing.To maximize cloud resource throughput and decrease user response time,load balancing is needed.Possible load balancing is needed to overcome user task execution delay and system failure.Most swarm intelligent dynamic load balancing solutions that used hybrid metaheuristic algorithms failed to balance exploitation and exploration.Most load balancing methods were insufficient to handle the growing uncertainty in job distribution to VMs.Thus,the Hybrid Spotted Hyena and Whale Optimization Algorithm-based Dynamic Load Balancing Mechanism(HSHWOA) partitions traffic among numerous VMs or servers to guarantee user chores are completed quickly.This load balancing approach improved performance by considering average network latency,dependability,and throughput.This hybridization of SHOA and WOA aims to improve the trade-off between exploration and exploitation,assign jobs to VMs with more solution diversity,and prevent the solution from reaching a local optimality.Pysim-based experimental verification and testing for the proposed HSHWOA showed a 12.38% improvement in minimized makespan,16.21% increase in mean throughput,and 14.84% increase in network stability compared to baseline load balancing strategies like Fractional Improved Whale Social Optimization Based VM Migration Strategy FIWSOA,HDWOA,and Binary Bird Swap.
文摘BACKGROUND In intertrochanteric fractures,the positive medial cortex support reduction is considered to provide a non-anatomical buttress that helps in controlled collapse.AIM To analyze the concept of medial cortical reduction(MCR)and its clinical and radiological association in geriatric intertrochanteric femur fractures.METHODS Geriatric patients who presented with AO/OTA 31A1 and 31A2 femur fractures and treated with proximal femoral nailing between July 2021 and June 2023 were include in this prospective cohort study.Based on the degree of MCR,they were divided into positive,neutral,or negative MCR groups.The demographic baseline characteristics,postoperative radiographic femoral neck-shaft angle and neck length were analyzed at 6,12 and 24 weeks post-surgery.Functional outcomes such as modified Harris Hip Score(HHS)and time to full-weight bearing were also analyzed.RESULTS 47 patients(Male:Famale 35:12)with mean age of 65.8±4.2 years were included in this study.Twenty-two cases had neutral support,nine had negative support,and sixteen had positive support in the medial cortex postoperatively.Baseline characteristics of the three groups were comparable.No significant differences were found in the femur neck length and femur neck-shaft angle changes post-surgery between the groups.The modified HHS was not found to be significant between the groups(P=0.883)as that of the time to full weight bearing(P=0.789).CONCLUSION The type of reduction achieved based on medial cortical alignment does not affect the femur neck length shortening or varus collapse.Future randomized controlled trials are needed to validate the findings noted in the study.
基金financially supported by the National Natural Science Foundation of China(52002157).
文摘Although organic compounds are considered to be promising electrode materials with their remarkable characteristics such as diverse structures,design controllability,and environmental friendliness,their low charge-transfer capability and limited cycling durability hinder their application in aqueous proton batteries.Herein,we prepared a noncovalent phenazine-based graphene aerogel(H/G)composite for aqueous proton storage,which is realized by redox-active Hexaazatrinaphthalene(HATN)organic compound combined with conductive reduced graphene oxide(rGO).The integration of rGO into HATN not only effectively optimizes the electronic structure of the H/G composite to enhance its electrochemical activity,but also the favorable noncovalent π-π interaction existed between HATN and rGO provides a stable structure for fast electron transportation.The obvious electron transfer in the aerogel composite promotes fast and reversible redox reactions occurred with the imino-active HATN in the composite electrode for proton uptake/removal in an aqueous acidic electrolyte,which are demonstrated by in-situ Fourier transform infrared(FTIR)investigation,theoretical calculations and experimental measurements.Therefore,it can deliver a fast,stable and efficient aqueous proton storage behavior with a large specific capacity of 274 mA·h·g^(-1) and considerable calendar life with~100%capacity retention after 3000 cycles,surpassing previously reported proton-based organic electrodes in aqueous acidic electrolytes.Furthermore,an outstanding soft-package aqueous proton(APB)has been fabricated with considerable long-term cycling stability.
文摘Background:Hydrastis canadensis mother tincture(HC-MT)is a preparation derived from the roots of the Hydrastis canadensis plant,commonly known as goldenseal.Despite its widespread use in homeopathic clinics for cancer treatment,there has been a lack of molecular studies assessing its efficacy against cancer.The aim of this study is to investigate the apoptotic and anti-metastatic properties of HC-MT in human lung adenocarcinoma cells(A549).Methods:MTT and LDH assays were conducted to assess the cytotoxic potential of HC-MT on tumor cells.Various staining techniques were employed to investigate the apoptotic potential,which was then confirmed through DNA fragmentation assay and western blotting.Results:The results showed that the HC-MT exhibited anti-proliferative effects with an IC50 concentration of 13.16μL/mL with apoptosis as the predominant mode of cell death.Treatment with HC-MT at IC50 concentration resulted in cell cycle arrest at the G1 phase.Additionally,HC-MT exhibited anti-migratory properties.Conclusion:In summary,HC-MT demonstrated significant anti-cancer effects in lung cancer cells,inducing apoptosis primarily and arresting cell cycle progression at G1 phase mediated by ROS.It also exhibited anti-metastatic potential,with its active compound berberine showing interaction with key proteins involved in cancer progression.These findings suggest a promising therapeutic potential of HC-MT against lung cancer.
