Pandemic influenza has posed an increasing threat to public health worldwide in the last decade.In the 20th century,three human pandemic influenza outbreaks occurred in 1918,1957 and 1968,causing significant mortality...Pandemic influenza has posed an increasing threat to public health worldwide in the last decade.In the 20th century,three human pandemic influenza outbreaks occurred in 1918,1957 and 1968,causing significant mortality.A number of hypotheses have been proposed for the emergence and development of pandemic viruses,including direct introduction into humans from an avian origin and reassortment between avian and previously circulating human viruses,either directly in humans or via an intermediate mammalian host.However,the evolutionary history of the pandemic viruses has been controversial,largely due to the lack of background genetic information and rigorous phylogenetic analyses.The pandemic that emerged in early April 2009 in North America provides a unique opportunity to investigate its emergence and development both in human and animal aspects.Recent genetic analyses of data accumulated through long-term influenza surveillance provided insights into the emergence of this novel pandemic virus.In this review,we summarise the recent literature that describes the evolutionary pathway of the pandemic viruses.We also discuss the implications of these findings on the early detection and control of future pandemics.展开更多
In this paper, we propose a mechanism named modified backoff （MB） mechanism to decrease the channel idle time in IEEE 802.11 distributed coordination function （DCF）. In the noisy channel, when signal-to-noise rat...In this paper, we propose a mechanism named modified backoff （MB） mechanism to decrease the channel idle time in IEEE 802.11 distributed coordination function （DCF）. In the noisy channel, when signal-to-noise ratio （SNR） is low, applying this mechanism in DCF greatly improves the throughput and lowers the channel idle time. This paper presents an analytical model for the performance study of IEEE 802.11 MB-DCF for nonsaturated heterogeneous traffic in the presence of transmission errors. First, we introduce the MB-DCF and compare its performance to IEEE 802.11 DCF with binary exponential backoff （BEB）. The IEEE 802.11 DCF with BEB mechanism suffers from more channel idle time under low SNR. The MB-DCF ensures high throughput and low packet delay by reducing the channel idle time under the low traffic in the network. However, to the best of the authors＇ knowledge, there are no previous works that enhance the performance of the DCF under imperfect wireless channel. We show through analysis that the proposed mechanism greatly outperforms the original IEEE 802.11 DCF in the imperfect channel condition. The effectiveness of physical and link layer parameters on throughput performance is explored. We also present a throughput investigation of the heterogeneous traffic for different radio conditions.展开更多
Exploring novel versatile electrode materials with outstanding electrochemical performance is the key to the development of advanced energy conversion and storage devices.In this work,we aim to construct new-fangled o...Exploring novel versatile electrode materials with outstanding electrochemical performance is the key to the development of advanced energy conversion and storage devices.In this work,we aim to construct new-fangled one-dimensional(1D)quasi-layered patronite vanadium tetrasulfide(VS_(4))nanostructures by using different sulfur sources,namely thiourea,thioacetamide,and L-cysteine through an ethyleneaminetetraacetic-acid(EDTA)-mediated solvothermal process.The as-prepared VS4exhibits several unique morphologies such as urchin,fluffy nanoflower,and polyhedron with appropriate surface areas.Among the prepared nanostructures,the VS_(4)-1@NF nanostructure exhibited excellent electrochemical properties in 6 M KOH solution,and we explored its redox electrochemistry in detail.The asprepared VS_(4)-1@NF electrode exhibited battery-type redox characteristics with the highest capacity of280 C g^(-1)in a three-electrode assembly.Moreover,it offered a capacity of 123 F g^(-1)in a hybrid twoelectrode set-up at 1 A g^(-1)with the highest specific energy and specific power of 38.5 W h kg^(-1)and750 W kg^(-1),respectively.Furthermore,to ensure the practical applicability and real-world performance of the prepared hybrid AC@NF//VS_(4)-1@NF cell,we performed a cycling stability test with more than 5,000galvanostatic charge–discharge cycles at 2 A g^(-1),and the cell retained around 84.7%of its capacitance even after 5,000 cycles with a CE of 96.1%.展开更多
The content-basedfiltering technique has been used effectively in a variety of Recommender Systems(RS).The user explicitly or implicitly provides data in the Content-Based Recommender System.The system collects this da...The content-basedfiltering technique has been used effectively in a variety of Recommender Systems(RS).The user explicitly or implicitly provides data in the Content-Based Recommender System.The system collects this data and creates a profile for all the users,and the recommendation is generated by the user profile.The recommendation generated via content-basedfiltering is provided by observing just a single user’s profile.The primary objective of this RS is to recommend a list of movies based on the user’s preferences.A con-tent-based movie recommendation model is proposed in this research,which recommends movies based on the user’s profile from the Facebook platform.The recommendation system is built with a hybrid model that combines the Mon-arch Butterfly Optimization(MBO)with the Deep Belief Network(DBN).For feature selection,the MBO is utilized,while DBN is used for classification.The datasets used in the experiment are collected from Facebook and MovieLens.The dataset features are evaluated for performance evaluation to validate if data with various attributes can solve the matching recommendations.Eachfile is com-pared with features that prove the features will support movie recommendations.The proposed model’s mean absolute error(MAE)and root-mean-square error(RMSE)values are 0.716 and 0.915,and its precision and recall are 97.35 and 96.60 percent,respectively.Extensive tests have demonstrated the advantages of the proposed method in terms of MAE,RMSE,Precision,and Recall compared to state-of-the-art algorithms such as Fuzzy C-means with Bat algorithm(FCM-BAT),Collaborativefiltering with k-NN and the normalized discounted cumulative gain method(CF-kNN+NDCG),User profile correlation-based similarity(UPCSim),and Deep Autoencoder.展开更多
Antibiotic resistance is one of the major issues in the medical field and a potential threat to human health.However,newly emerging antimicrobial compounds failed to combat antimicrobial resistance developed by bacter...Antibiotic resistance is one of the major issues in the medical field and a potential threat to human health.However,newly emerging antimicrobial compounds failed to combat antimicrobial resistance developed by bacterial pathogens.Recently,a bismuth-based complex has been developed to eradicate antimicrobial-resistant microorganism infections.The complex is known as organobismuth(III)phosphinate,which is said to be a potential broad-spectrum antimicrobial agent.This complex has been incorporated into the nanocellulose suspension to fabricate a biomedical composite for various applications.The composite can be fabricated by two methods namely vacuum filtration and spray coating.In this paper,the surface and topography of the composite are investigated and discussed in terms of SEM micrographs and their antimicrobial potential.This review focuses on the organo-bismuth nanocellulose composite and its biomedical application in the future.展开更多
Two-dimensional asymmetric chalcogen atoms attached to Janus nanoparticles have fascinated research attention owing to their distinctive properties and characteristics for various applications.This paper proposed a fa...Two-dimensional asymmetric chalcogen atoms attached to Janus nanoparticles have fascinated research attention owing to their distinctive properties and characteristics for various applications.This paper proposed a facile synthesis to produce efficient molybdenum-based symmetric and asymmetric chalcogens bounded by X Mo X and TeMo X nanostructures.Subsequently,the fabricated X Mo X and TeMo X nanostruc-tures were employed as anodes for lithiumion batteries(LIBs).Assembled LIBs using TeMoS and TeMoSe Janus anodes achieved 2610 and 2073 mAh g^(-1)reversible capacity at 0.1 A g^(-1),respectively for the halfcell configuration,which is outstanding performance compared with previous reports.Superior rate capability performances at 0.1-20 A g^(-1)and exceptional cycling solidity confirmed high charge and discharge capacities for TeMo X Janus lithium-ion battery anodes.In addition,the full cell device with TeMoS//LiCoO_(2)configuration explored the discharge capacity of 1605 mAh g^(-1)at 0.1 A g^(-1)which suggests their excellent electrochemical characteristics.The density functional theory approximations established the significance of assembled symmetric and asymmetric chalcogen atoms interacted with X Mo X and TeMo X anode materials for LIBs.Thus,the present investigation supports a new approach to creating two-dimensional materials based on asymmetric chalcogen atoms with core metal to effectively increase desirable energy storage characteristics.展开更多
Biomedical data classification has become a hot research topic in recent years,thanks to the latest technological advancements made in healthcare.Biome-dical data is usually examined by physicians for decision making ...Biomedical data classification has become a hot research topic in recent years,thanks to the latest technological advancements made in healthcare.Biome-dical data is usually examined by physicians for decision making process in patient treatment.Since manual diagnosis is a tedious and time consuming task,numerous automated models,using Artificial Intelligence(AI)techniques,have been presented so far.With this motivation,the current research work presents a novel Biomedical Data Classification using Cat and Mouse Based Optimizer with AI(BDC-CMBOAI)technique.The aim of the proposed BDC-CMBOAI technique is to determine the occurrence of diseases using biomedical data.Besides,the proposed BDC-CMBOAI technique involves the design of Cat and Mouse Optimizer-based Feature Selection(CMBO-FS)technique to derive a useful subset of features.In addition,Ridge Regression(RR)model is also utilized as a classifier to identify the existence of disease.The novelty of the current work is its designing of CMBO-FS model for data classification.Moreover,CMBO-FS technique is used to get rid of unwanted features and boosts the classification accuracy.The results of the experimental analysis accomplished by BDC-CMBOAI technique on benchmark medical dataset established the supremacy of the proposed technique under different evaluation measures.展开更多
Background:The Siddha system of traditional medicine has historically been utilized to treat a wide range of illnesses,including noncommunicable diseases.With more than 62 million people in India already living with d...Background:The Siddha system of traditional medicine has historically been utilized to treat a wide range of illnesses,including noncommunicable diseases.With more than 62 million people in India already living with diabetes,the disease is quickly gaining the status of a possible epidemic.It has been demonstrated that this medical theory contains anti-diabetic substances.The goal of this work is to assess in silico computational investigations of the phytoconstituents in the traditional Siddha polyherbal preparation ABC,which is frequently used to treat diabetes.Method:Alpha-Glucosidase was used as the target enzyme in docking calculations for recovered phytocomponents.With the help of Auto Dock tools,necessary hydrogen atoms,Kollman unified atom type charges,and solvation parameters were added.The Lamarckian genetic algorithm and the Solis and Wets local search approach were used to simulate docking.Results:A total of 13 bioactive lead compounds were identified from the Siddha Formulation ABC.According to the herb’s stated data,the target enzyme Alpha-Glucosidase can interact with the phytochemicals Beta-Sitosterol,Amyrin,Lupeol,Arjunic acid,Arjungenin,Tinosporide,and Tembetarine up to four or five times.The second-placed substances,which had a maximum of two to three interactions with the target enzyme Alpha-Glucosidase,were betulonic acid,kaempferol,gallic acid,and barbaloin.Conclusion:The implementation of these formulations in future preclinical and clinical studies could result in the effective management of Type II Diabetes Mellitus.展开更多
Omicron is currently the dominant variant of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the coronavirus responsible for the coronavirus disease 2019(COVID-19)pandemic.Omicron is associated with mild s...Omicron is currently the dominant variant of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the coronavirus responsible for the coronavirus disease 2019(COVID-19)pandemic.Omicron is associated with mild symptoms,although it can cause harmful effects in high-risk patient populations.Omicron and COVID-19 affect multiple organ systems,including the respiratory system,gastrointestinal tract,cardiovascular system,central nervous system,ophthalmic system,genitourinary tract,and musculoskeletal system.COVID-19 infects additional organ systems,including the hematological system,hepatobiliary system,renal system,and dermatologic system.The viral-induced complications were compared to discuss the effects of Omicron versus the authentic SARS-CoV-2 virus,revealing less detrimental outcomes for Omicron.Moreover,COVID-19 is more likely to infect older adults,males,and obesity with mild to severe symptoms.Omicron causes mild symptoms in younger populations and overweight females.Data were acquired using PubMed,Centers for Disease Prevention and Control,and the World Health Organization.COVID-19 and Omicron mechanisms causing organ system-related complications are likely because of the natural immune response to the active infection,the uncontrollable release of cytokines causing cytokine release syndrome,and direct viral damage through angiotensin-converting enzyme 2/transmembrane serine protease 2 receptor binding and entrance to the host cell for infection.展开更多
This paper presents new converter for torque ripple minimization of three phases Switched Reluctance Motor (SRM). The proposed converter has basic passive circuit which includes two diodes and one capacitor to the fro...This paper presents new converter for torque ripple minimization of three phases Switched Reluctance Motor (SRM). The proposed converter has basic passive circuit which includes two diodes and one capacitor to the front end of an asymmetric converter with a specific end goal to get a high magnetization and demagnetization voltage. In view of this boost capacitor, the charge and demagnetization voltage are higher. Accordingly, it can reduce the negative torque generation from the tail current and enhance the output power. The proposed converter circuit is equipped for minimizing the SRM torque ripple furthermore enhancing the average torque when contrasted with traditional converter circuit. A three-phase SRM is modeled and the simulation output for no load and stacked condition depicts that the proposed converter has better performance when contrasted with traditional converter. It is appropriate for electric vehicle applications. The proposed framework is simulated by utilizing MATLAB/Simulink environment and their outcomes are examined extravagantly.展开更多
This paper presents a power factor corrected (PFC) new bridgeless (BL) Cuk Topologies for low power applications. A BL configuration of Cuk converter is proposed which eliminates the usage of diode bridge rectifier at...This paper presents a power factor corrected (PFC) new bridgeless (BL) Cuk Topologies for low power applications. A BL configuration of Cuk converter is proposed which eliminates the usage of diode bridge rectifier at the front end of the PFC converter, thus reducing the switching and conduction losses coupled with it. This new BL Cuk converter has two semiconductors switches. The current flow during each switching cycle interval of the converter reduces the conduction losses compared to the conventional Cuk PFC converter. It also reduces the input current ripple and Electromagnetic Interference (EMI). The inrush current during the starting period is limited and the input, output currents of the converter are continuous with minimum current ripple. Hence it is preferred mostly compared to other PFC circuits. The proposed topology works in the Discontinuous Conduction Mode (DCM) with simple control circuitry to achieve almost a unity power factor with less distortion in the input AC current. The switching of the power switches is done under zero current. The proposed PFC topologies are theoretically investigated and performance comparisons are made with the conventional rectifiers. The proposed PFC converter is simulated in MATLAB/SIMULINK with Fuzzy Logic Controller (FLC) and results are demonstrated to evaluate the effectiveness of the controller.展开更多
Due to the advancements in remote sensing technologies,the generation of hyperspectral imagery(HSI)gets significantly increased.Accurate classification of HSI becomes a critical process in the domain of hyperspectral ...Due to the advancements in remote sensing technologies,the generation of hyperspectral imagery(HSI)gets significantly increased.Accurate classification of HSI becomes a critical process in the domain of hyperspectral data analysis.The massive availability of spectral and spatial details of HSI has offered a great opportunity to efficiently illustrate and recognize ground materials.Presently,deep learning(DL)models particularly,convolutional neural networks(CNNs)become useful for HSI classification owing to the effective feature representation and high performance.In this view,this paper introduces a new DL based Xception model for HSI analysis and classification,called Xcep-HSIC model.Initially,the presented model utilizes a feature relation map learning(FRML)to identify the relationship among the hyperspectral features and explore many features for improved classifier results.Next,the DL based Xception model is applied as a feature extractor to derive a useful set of features from the FRML map.In addition,kernel extreme learning machine(KELM)optimized by quantum-behaved particle swarm optimization(QPSO)is employed as a classification model,to identify the different set of class labels.An extensive set of simulations takes place on two benchmarks HSI dataset,namely Indian Pines and Pavia University dataset.The obtained results ensured the effective performance of the XcepHSIC technique over the existing methods by attaining a maximum accuracy of 94.32%and 92.67%on the applied India Pines and Pavia University dataset respectively.展开更多
This paper presents a numerical analysis for computation of free space capacitance of different arbitrarily shaped conducting bodies based on the finite element method with triangular subsection modeling. Evaluation o...This paper presents a numerical analysis for computation of free space capacitance of different arbitrarily shaped conducting bodies based on the finite element method with triangular subsection modeling. Evaluation of capacitance of different arbitrary shapes is important for the electrostatic analysis. Capacitance computation is an important step in the prediction of electrostatic discharge which causes electromagnetic interference. We specifically illustrated capacitance computation of electrostatic models like unit cube, rectangular plate, triangular plate, T-shaped plate, sphere and two touching spheres. Numerical data on the capacitance of conducting objects are presented. The results are compared with other available results in the literature. We used the COMSOL Multiphysics software for the simulation. The models are designed in three-dimensional form using electrostatic environment and can be applied to any spacecraft circuit modeling design. The findings of this study show that the finite element method is a more accurate method and can be applied to any circuit modeling design.展开更多
Cladosporium cladosporioides is an emerging pathogenic fungus that causes Cladosporium rot in postharvest table grapes(Vitis vinifera). However,studies investigating the infection process of C. cladosporioides are lac...Cladosporium cladosporioides is an emerging pathogenic fungus that causes Cladosporium rot in postharvest table grapes(Vitis vinifera). However,studies investigating the infection process of C. cladosporioides are lacking. Therefore, this study aimed to elucidate the infection process by investigating the influence of microclimatic parameters(temperature, wetness and fungal age) in C. cladosporioides pathogenesis, activities of grape defense-related enzymes and grape quality during the infection. C. cladosporioides effectively infects grapes by developing distinct colonies on the artificial wounds and berry surfaces, completing its life cycle within 48 h. The C. cladosporioides disease incidence optimally occurred at 20 ℃ and 25 ℃. Wetness played an influential role in the infectivity of C. cladosporioides and 7-day-old C. cladosporioides resulted in the most serious disease incidence of table grapes. As a result of infection, the quality of grapes was affected, including berry weight, p H, titratable acidity(TA), total soluble solids(TSS), and ascorbic acid level. This infection also induced defense-related enzymes, including polyphenoloxidase(PPO), peroxidase(POD), phenylalanine ammonialyase(PAL), and catalase(CAT), at certain times. The findings of this study demonstrated that Cladosporium rot development depended on the microclimatic parameters of grapes, significantly affected the grape quality and induced grape's defense-related enzymes.展开更多
Mushrooms are good sources of phytochemicals that have antioxidant and anti-proliferative effects.This study identifi ed a unique isoform of 18S rRNA gene(864 bp)from a novel wild mushroom(SMK-1)(GenBank accession num...Mushrooms are good sources of phytochemicals that have antioxidant and anti-proliferative effects.This study identifi ed a unique isoform of 18S rRNA gene(864 bp)from a novel wild mushroom(SMK-1)(GenBank accession number:SUB3267363).Thin layer chromatographic(TLC)profiling of the methanolic extract of the dried mushroom fruiting bodies of SMK-1 revealed the presence of phenolic and fl avonoid fractions with retention factor(Rf)values of 0.955 and 0.927 respectively.The GC/MS chromatograms of the SMK-1 methanolic extract identifi ed the main bioactive compound was phenol,5-methyl-2-(1-methylethyl)(74.00%)(thymol).The radical scavenging activity for the fl avonoid fraction was greater than the phenolic fractions(Rf–phenolics fractions>Rf–fl avonoid fractions)with the antioxidant activity more than that of standard ascorbic acid.Also,the phenolic and flavonoid fractions of SMK-1 expressed cytotoxic effects in HeLa cells with IC50 values ranging from 5μg/mL to 80μg/mL in a dose-dependent manner.This present research highlights the presence of high thymol concentration in a novel wild mushroom that has antioxidant and anti-poliferative potential with therapeutic benefi ts.The application of thymol natural products from novel mushroom SMK-1 as nutrition supplements could inhibit oxidative stress triggered by numerous pathologies that may pave the way to develop a new therapeutic natural drug.展开更多
To convert wave energy into usable forms of energy by utilizing heaving body, heaving bodies （buoys） which are buoyant in nature and float on the water surface are usually used. The wave exerts excess buoyancy force...To convert wave energy into usable forms of energy by utilizing heaving body, heaving bodies （buoys） which are buoyant in nature and float on the water surface are usually used. The wave exerts excess buoyancy force on the buoy, lifting it during the approach of wave crest while the gravity pulls it down during the wave trough. A hydraulic, direct or mechanical power takeoff is used to convert this up and down motion of the buoy to produce usable forms of energy. Though using a floating buoy for harnessing wave energy is conventional, this device faces many challenges in improving the overall conversion efficiency and survivability in extreme conditions. Up to the present, no studies have been done to harness ocean waves using a non-floating object and to find out the merits and demerits of the system. In the present paper, an innovative heaving body type of wave energy converter with a non-floating object was proposed to harness waves. It was also shown that the conversion efficiency and safety of the proposed device were significantly higher than any other device proposed with floating buoy. To demonstrate the improvements, experiments were conducted with non- floating body for different dimensions and the heave response was noted. Power generation was not considered in the experiment to observe the worst case response of the heaving body. The device was modeled in artificial neural network （ANN）, the heave response for various parameters were predicted, and compared with the experimental results. It was found that the ANN model could predict the heave response with an accuracy of 99%.展开更多
Objective:To investigate the potentiality of mosquitocidal activity of Gliricidia sepium（C.sepium） （Jacq.）（Leguminosae）.Methods:Twenty five early third instar larvae of Anopheles stephensi （An.stephensi） were ...Objective:To investigate the potentiality of mosquitocidal activity of Gliricidia sepium（C.sepium） （Jacq.）（Leguminosae）.Methods:Twenty five early third instar larvae of Anopheles stephensi （An.stephensi） were exposed to various concentrations（50-250 ppm） and the 24 h LC<sub>50</sub> values of the G.sepium extract was determined by probit analysis.The ovicidal activity was determined against An.stephensi to various concentrations ranging from 25-100 ppm under laboratory conditions.The eggs hatchabilily was assessed 48 h post treatment.The pupicidal activity was determined against An.stephensi to various concentrations ranging from 25-100 ppm.Mortality of each pupa was recorded after 24 h of exposure to the extract.Results:Results pertaining to the experiment clearly revealed that ethanol extract showed significant larvicidal,ovicidal and pupicidal activity against the An.stephensi.Larvicidal activity of ethanol extracts of G.sepium showed maximum mortality in 250 ppm concentration（96.0±2.4）%.Furthermore,the LC<sub>50</sub> was found to be 121.79 and the LC<sub>50</sub> value was recorded to be 231.98 ppm.Ovicidal activity of ethanol extract was assessed by assessing the egg hatchabilily.Highest concentration of both solvent extracts exhibited 100%ovicidal activity.Similarly,pupae exposed to different concentratioiLs of ethanol extract were found dead with 58.10%adult emergence when it was treated with 25 ppm concentration.Similarly,18.36（n=30;61.20%）;21.28（70.93） and 27.33（91.10） pupal mortality was recorded from the experimental pupae treated with 50,75 and 100 ppm concentration of extracts. Three fractions have been tested for their larvicidal activity of which the Fraction 3 showed the LC<sub>50</sub> and LC<sub>90</sub> values of 23.23 and 40.39 ppm.With regard to the ovicidal effect fraction 3 showed highest ovicidal activities than the other two fractions.Furthermore,there were no hatchabilily was recorded above 50 ppm（100%egg mortality） in the experimental group.Stat展开更多
The intra-islet microvasculature is a critical interface between the blood and islet endocrine cells governing a number of cellular and pathophysiological processes associated with the pancreatic tissue. A growing bod...The intra-islet microvasculature is a critical interface between the blood and islet endocrine cells governing a number of cellular and pathophysiological processes associated with the pancreatic tissue. A growing body of evidence indicates a strong functional and physical interdependency of β-cells with endothelial cells(ECs), the building blocks of islet microvasculature. Intra-islet ECs, actively regulate vascular permeability and appear to play a role in fine-tuning blood glucose sensing and regulation. These cells also tend to behave as "guardians", controlling the expression and movement of a number of important immune mediators, thereby strongly contributing to the physiology of islets. This review will focus on the molecular signalling and crosstalk between the intra-islet ECs and β-cells and how their relationship can be a potential target for intervention strategies in islet pathology and islet transplantation.展开更多
Nonalcoholic fatty liver disease(NAFLD)is the most common cause of liver disease worldwide,and its prevalence increases continuously.As it predisposes to hepatocellular carcinoma both in the presence and in the absenc...Nonalcoholic fatty liver disease(NAFLD)is the most common cause of liver disease worldwide,and its prevalence increases continuously.As it predisposes to hepatocellular carcinoma both in the presence and in the absence of cirrhosis,it is not surprising that the incidence of NAFLD-related hepatocellular carcinoma would also rise.Some of the mechanisms involved in hepatocarcinogenesis are particular to individuals with fatty liver,and they help explain why liver cancer develops even in patients without cirrhosis.Genetic and immune-mediated mechanisms seem to play an important role in the development of hepatocellular carcinoma in this population.Currently,it is consensual that patients with NAFLD-related cirrhosis should be surveilled with ultrasonography every 6 mo(with or without alpha-fetoprotein),but it is known that they are less likely to follow this recommendation than individuals with other kinds of liver disease.Moreover,the performance of the methods of surveillance are lower in NAFLD than they are in other liver diseases.Furthermore,it is not clear which subgroups of patients without cirrhosis should undergo surveillance.Understanding the mechanisms of hepatocarcinogenesis in NAFLD could hopefully lead to the identification of biomarkers to be used in the surveillance for liver cancer in these individuals.By improving surveillance,tumors could be detected in earlier stages,amenable to curative treatments.展开更多
基金This study was supported by Li Ka Shing Foundation,the Area of Excellence Scheme of the University Grants Committee of the Hong Kong Special Administrative Region Government(grant AoE/M-12/06)the National Institutes of Health(NIH,National Institute of Allergy and Infectious Diseases contract HSN266200700005C).
文摘Pandemic influenza has posed an increasing threat to public health worldwide in the last decade.In the 20th century,three human pandemic influenza outbreaks occurred in 1918,1957 and 1968,causing significant mortality.A number of hypotheses have been proposed for the emergence and development of pandemic viruses,including direct introduction into humans from an avian origin and reassortment between avian and previously circulating human viruses,either directly in humans or via an intermediate mammalian host.However,the evolutionary history of the pandemic viruses has been controversial,largely due to the lack of background genetic information and rigorous phylogenetic analyses.The pandemic that emerged in early April 2009 in North America provides a unique opportunity to investigate its emergence and development both in human and animal aspects.Recent genetic analyses of data accumulated through long-term influenza surveillance provided insights into the emergence of this novel pandemic virus.In this review,we summarise the recent literature that describes the evolutionary pathway of the pandemic viruses.We also discuss the implications of these findings on the early detection and control of future pandemics.
文摘In this paper, we propose a mechanism named modified backoff （MB） mechanism to decrease the channel idle time in IEEE 802.11 distributed coordination function （DCF）. In the noisy channel, when signal-to-noise ratio （SNR） is low, applying this mechanism in DCF greatly improves the throughput and lowers the channel idle time. This paper presents an analytical model for the performance study of IEEE 802.11 MB-DCF for nonsaturated heterogeneous traffic in the presence of transmission errors. First, we introduce the MB-DCF and compare its performance to IEEE 802.11 DCF with binary exponential backoff （BEB）. The IEEE 802.11 DCF with BEB mechanism suffers from more channel idle time under low SNR. The MB-DCF ensures high throughput and low packet delay by reducing the channel idle time under the low traffic in the network. However, to the best of the authors＇ knowledge, there are no previous works that enhance the performance of the DCF under imperfect wireless channel. We show through analysis that the proposed mechanism greatly outperforms the original IEEE 802.11 DCF in the imperfect channel condition. The effectiveness of physical and link layer parameters on throughput performance is explored. We also present a throughput investigation of the heterogeneous traffic for different radio conditions.
基金supported by the Research Program of Dongguk University in 2022(No.S-2022-G0001-00016)。
文摘Exploring novel versatile electrode materials with outstanding electrochemical performance is the key to the development of advanced energy conversion and storage devices.In this work,we aim to construct new-fangled one-dimensional(1D)quasi-layered patronite vanadium tetrasulfide(VS_(4))nanostructures by using different sulfur sources,namely thiourea,thioacetamide,and L-cysteine through an ethyleneaminetetraacetic-acid(EDTA)-mediated solvothermal process.The as-prepared VS4exhibits several unique morphologies such as urchin,fluffy nanoflower,and polyhedron with appropriate surface areas.Among the prepared nanostructures,the VS_(4)-1@NF nanostructure exhibited excellent electrochemical properties in 6 M KOH solution,and we explored its redox electrochemistry in detail.The asprepared VS_(4)-1@NF electrode exhibited battery-type redox characteristics with the highest capacity of280 C g^(-1)in a three-electrode assembly.Moreover,it offered a capacity of 123 F g^(-1)in a hybrid twoelectrode set-up at 1 A g^(-1)with the highest specific energy and specific power of 38.5 W h kg^(-1)and750 W kg^(-1),respectively.Furthermore,to ensure the practical applicability and real-world performance of the prepared hybrid AC@NF//VS_(4)-1@NF cell,we performed a cycling stability test with more than 5,000galvanostatic charge–discharge cycles at 2 A g^(-1),and the cell retained around 84.7%of its capacitance even after 5,000 cycles with a CE of 96.1%.
文摘The content-basedfiltering technique has been used effectively in a variety of Recommender Systems(RS).The user explicitly or implicitly provides data in the Content-Based Recommender System.The system collects this data and creates a profile for all the users,and the recommendation is generated by the user profile.The recommendation generated via content-basedfiltering is provided by observing just a single user’s profile.The primary objective of this RS is to recommend a list of movies based on the user’s preferences.A con-tent-based movie recommendation model is proposed in this research,which recommends movies based on the user’s profile from the Facebook platform.The recommendation system is built with a hybrid model that combines the Mon-arch Butterfly Optimization(MBO)with the Deep Belief Network(DBN).For feature selection,the MBO is utilized,while DBN is used for classification.The datasets used in the experiment are collected from Facebook and MovieLens.The dataset features are evaluated for performance evaluation to validate if data with various attributes can solve the matching recommendations.Eachfile is com-pared with features that prove the features will support movie recommendations.The proposed model’s mean absolute error(MAE)and root-mean-square error(RMSE)values are 0.716 and 0.915,and its precision and recall are 97.35 and 96.60 percent,respectively.Extensive tests have demonstrated the advantages of the proposed method in terms of MAE,RMSE,Precision,and Recall compared to state-of-the-art algorithms such as Fuzzy C-means with Bat algorithm(FCM-BAT),Collaborativefiltering with k-NN and the normalized discounted cumulative gain method(CF-kNN+NDCG),User profile correlation-based similarity(UPCSim),and Deep Autoencoder.
文摘Antibiotic resistance is one of the major issues in the medical field and a potential threat to human health.However,newly emerging antimicrobial compounds failed to combat antimicrobial resistance developed by bacterial pathogens.Recently,a bismuth-based complex has been developed to eradicate antimicrobial-resistant microorganism infections.The complex is known as organobismuth(III)phosphinate,which is said to be a potential broad-spectrum antimicrobial agent.This complex has been incorporated into the nanocellulose suspension to fabricate a biomedical composite for various applications.The composite can be fabricated by two methods namely vacuum filtration and spray coating.In this paper,the surface and topography of the composite are investigated and discussed in terms of SEM micrographs and their antimicrobial potential.This review focuses on the organo-bismuth nanocellulose composite and its biomedical application in the future.
基金supported by the Mid-career Researcher Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Science and ICT(No.2019R1A2C2086747)and the research program of Dongguk University in 2022(No.S-2022-G0001-00016).
文摘Two-dimensional asymmetric chalcogen atoms attached to Janus nanoparticles have fascinated research attention owing to their distinctive properties and characteristics for various applications.This paper proposed a facile synthesis to produce efficient molybdenum-based symmetric and asymmetric chalcogens bounded by X Mo X and TeMo X nanostructures.Subsequently,the fabricated X Mo X and TeMo X nanostruc-tures were employed as anodes for lithiumion batteries(LIBs).Assembled LIBs using TeMoS and TeMoSe Janus anodes achieved 2610 and 2073 mAh g^(-1)reversible capacity at 0.1 A g^(-1),respectively for the halfcell configuration,which is outstanding performance compared with previous reports.Superior rate capability performances at 0.1-20 A g^(-1)and exceptional cycling solidity confirmed high charge and discharge capacities for TeMo X Janus lithium-ion battery anodes.In addition,the full cell device with TeMoS//LiCoO_(2)configuration explored the discharge capacity of 1605 mAh g^(-1)at 0.1 A g^(-1)which suggests their excellent electrochemical characteristics.The density functional theory approximations established the significance of assembled symmetric and asymmetric chalcogen atoms interacted with X Mo X and TeMo X anode materials for LIBs.Thus,the present investigation supports a new approach to creating two-dimensional materials based on asymmetric chalcogen atoms with core metal to effectively increase desirable energy storage characteristics.
基金Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R203)Princess Nourah bint Abdulrahman University,Riyadh,Saudi ArabiaThe authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:22UQU4340237DSR03.
文摘Biomedical data classification has become a hot research topic in recent years,thanks to the latest technological advancements made in healthcare.Biome-dical data is usually examined by physicians for decision making process in patient treatment.Since manual diagnosis is a tedious and time consuming task,numerous automated models,using Artificial Intelligence(AI)techniques,have been presented so far.With this motivation,the current research work presents a novel Biomedical Data Classification using Cat and Mouse Based Optimizer with AI(BDC-CMBOAI)technique.The aim of the proposed BDC-CMBOAI technique is to determine the occurrence of diseases using biomedical data.Besides,the proposed BDC-CMBOAI technique involves the design of Cat and Mouse Optimizer-based Feature Selection(CMBO-FS)technique to derive a useful subset of features.In addition,Ridge Regression(RR)model is also utilized as a classifier to identify the existence of disease.The novelty of the current work is its designing of CMBO-FS model for data classification.Moreover,CMBO-FS technique is used to get rid of unwanted features and boosts the classification accuracy.The results of the experimental analysis accomplished by BDC-CMBOAI technique on benchmark medical dataset established the supremacy of the proposed technique under different evaluation measures.
文摘Background:The Siddha system of traditional medicine has historically been utilized to treat a wide range of illnesses,including noncommunicable diseases.With more than 62 million people in India already living with diabetes,the disease is quickly gaining the status of a possible epidemic.It has been demonstrated that this medical theory contains anti-diabetic substances.The goal of this work is to assess in silico computational investigations of the phytoconstituents in the traditional Siddha polyherbal preparation ABC,which is frequently used to treat diabetes.Method:Alpha-Glucosidase was used as the target enzyme in docking calculations for recovered phytocomponents.With the help of Auto Dock tools,necessary hydrogen atoms,Kollman unified atom type charges,and solvation parameters were added.The Lamarckian genetic algorithm and the Solis and Wets local search approach were used to simulate docking.Results:A total of 13 bioactive lead compounds were identified from the Siddha Formulation ABC.According to the herb’s stated data,the target enzyme Alpha-Glucosidase can interact with the phytochemicals Beta-Sitosterol,Amyrin,Lupeol,Arjunic acid,Arjungenin,Tinosporide,and Tembetarine up to four or five times.The second-placed substances,which had a maximum of two to three interactions with the target enzyme Alpha-Glucosidase,were betulonic acid,kaempferol,gallic acid,and barbaloin.Conclusion:The implementation of these formulations in future preclinical and clinical studies could result in the effective management of Type II Diabetes Mellitus.
文摘Omicron is currently the dominant variant of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the coronavirus responsible for the coronavirus disease 2019(COVID-19)pandemic.Omicron is associated with mild symptoms,although it can cause harmful effects in high-risk patient populations.Omicron and COVID-19 affect multiple organ systems,including the respiratory system,gastrointestinal tract,cardiovascular system,central nervous system,ophthalmic system,genitourinary tract,and musculoskeletal system.COVID-19 infects additional organ systems,including the hematological system,hepatobiliary system,renal system,and dermatologic system.The viral-induced complications were compared to discuss the effects of Omicron versus the authentic SARS-CoV-2 virus,revealing less detrimental outcomes for Omicron.Moreover,COVID-19 is more likely to infect older adults,males,and obesity with mild to severe symptoms.Omicron causes mild symptoms in younger populations and overweight females.Data were acquired using PubMed,Centers for Disease Prevention and Control,and the World Health Organization.COVID-19 and Omicron mechanisms causing organ system-related complications are likely because of the natural immune response to the active infection,the uncontrollable release of cytokines causing cytokine release syndrome,and direct viral damage through angiotensin-converting enzyme 2/transmembrane serine protease 2 receptor binding and entrance to the host cell for infection.
文摘This paper presents new converter for torque ripple minimization of three phases Switched Reluctance Motor (SRM). The proposed converter has basic passive circuit which includes two diodes and one capacitor to the front end of an asymmetric converter with a specific end goal to get a high magnetization and demagnetization voltage. In view of this boost capacitor, the charge and demagnetization voltage are higher. Accordingly, it can reduce the negative torque generation from the tail current and enhance the output power. The proposed converter circuit is equipped for minimizing the SRM torque ripple furthermore enhancing the average torque when contrasted with traditional converter circuit. A three-phase SRM is modeled and the simulation output for no load and stacked condition depicts that the proposed converter has better performance when contrasted with traditional converter. It is appropriate for electric vehicle applications. The proposed framework is simulated by utilizing MATLAB/Simulink environment and their outcomes are examined extravagantly.
文摘This paper presents a power factor corrected (PFC) new bridgeless (BL) Cuk Topologies for low power applications. A BL configuration of Cuk converter is proposed which eliminates the usage of diode bridge rectifier at the front end of the PFC converter, thus reducing the switching and conduction losses coupled with it. This new BL Cuk converter has two semiconductors switches. The current flow during each switching cycle interval of the converter reduces the conduction losses compared to the conventional Cuk PFC converter. It also reduces the input current ripple and Electromagnetic Interference (EMI). The inrush current during the starting period is limited and the input, output currents of the converter are continuous with minimum current ripple. Hence it is preferred mostly compared to other PFC circuits. The proposed topology works in the Discontinuous Conduction Mode (DCM) with simple control circuitry to achieve almost a unity power factor with less distortion in the input AC current. The switching of the power switches is done under zero current. The proposed PFC topologies are theoretically investigated and performance comparisons are made with the conventional rectifiers. The proposed PFC converter is simulated in MATLAB/SIMULINK with Fuzzy Logic Controller (FLC) and results are demonstrated to evaluate the effectiveness of the controller.
文摘Due to the advancements in remote sensing technologies,the generation of hyperspectral imagery(HSI)gets significantly increased.Accurate classification of HSI becomes a critical process in the domain of hyperspectral data analysis.The massive availability of spectral and spatial details of HSI has offered a great opportunity to efficiently illustrate and recognize ground materials.Presently,deep learning(DL)models particularly,convolutional neural networks(CNNs)become useful for HSI classification owing to the effective feature representation and high performance.In this view,this paper introduces a new DL based Xception model for HSI analysis and classification,called Xcep-HSIC model.Initially,the presented model utilizes a feature relation map learning(FRML)to identify the relationship among the hyperspectral features and explore many features for improved classifier results.Next,the DL based Xception model is applied as a feature extractor to derive a useful set of features from the FRML map.In addition,kernel extreme learning machine(KELM)optimized by quantum-behaved particle swarm optimization(QPSO)is employed as a classification model,to identify the different set of class labels.An extensive set of simulations takes place on two benchmarks HSI dataset,namely Indian Pines and Pavia University dataset.The obtained results ensured the effective performance of the XcepHSIC technique over the existing methods by attaining a maximum accuracy of 94.32%and 92.67%on the applied India Pines and Pavia University dataset respectively.
文摘This paper presents a numerical analysis for computation of free space capacitance of different arbitrarily shaped conducting bodies based on the finite element method with triangular subsection modeling. Evaluation of capacitance of different arbitrary shapes is important for the electrostatic analysis. Capacitance computation is an important step in the prediction of electrostatic discharge which causes electromagnetic interference. We specifically illustrated capacitance computation of electrostatic models like unit cube, rectangular plate, triangular plate, T-shaped plate, sphere and two touching spheres. Numerical data on the capacitance of conducting objects are presented. The results are compared with other available results in the literature. We used the COMSOL Multiphysics software for the simulation. The models are designed in three-dimensional form using electrostatic environment and can be applied to any spacecraft circuit modeling design. The findings of this study show that the finite element method is a more accurate method and can be applied to any circuit modeling design.
基金the financial support received from National Natural Science Foundation of China (Grant Nos. 31950410556, 31901743, and 31971795)a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (Grant No. PAPD-2018-87)。
文摘Cladosporium cladosporioides is an emerging pathogenic fungus that causes Cladosporium rot in postharvest table grapes(Vitis vinifera). However,studies investigating the infection process of C. cladosporioides are lacking. Therefore, this study aimed to elucidate the infection process by investigating the influence of microclimatic parameters(temperature, wetness and fungal age) in C. cladosporioides pathogenesis, activities of grape defense-related enzymes and grape quality during the infection. C. cladosporioides effectively infects grapes by developing distinct colonies on the artificial wounds and berry surfaces, completing its life cycle within 48 h. The C. cladosporioides disease incidence optimally occurred at 20 ℃ and 25 ℃. Wetness played an influential role in the infectivity of C. cladosporioides and 7-day-old C. cladosporioides resulted in the most serious disease incidence of table grapes. As a result of infection, the quality of grapes was affected, including berry weight, p H, titratable acidity(TA), total soluble solids(TSS), and ascorbic acid level. This infection also induced defense-related enzymes, including polyphenoloxidase(PPO), peroxidase(POD), phenylalanine ammonialyase(PAL), and catalase(CAT), at certain times. The findings of this study demonstrated that Cladosporium rot development depended on the microclimatic parameters of grapes, significantly affected the grape quality and induced grape's defense-related enzymes.
文摘Mushrooms are good sources of phytochemicals that have antioxidant and anti-proliferative effects.This study identifi ed a unique isoform of 18S rRNA gene(864 bp)from a novel wild mushroom(SMK-1)(GenBank accession number:SUB3267363).Thin layer chromatographic(TLC)profiling of the methanolic extract of the dried mushroom fruiting bodies of SMK-1 revealed the presence of phenolic and fl avonoid fractions with retention factor(Rf)values of 0.955 and 0.927 respectively.The GC/MS chromatograms of the SMK-1 methanolic extract identifi ed the main bioactive compound was phenol,5-methyl-2-(1-methylethyl)(74.00%)(thymol).The radical scavenging activity for the fl avonoid fraction was greater than the phenolic fractions(Rf–phenolics fractions>Rf–fl avonoid fractions)with the antioxidant activity more than that of standard ascorbic acid.Also,the phenolic and flavonoid fractions of SMK-1 expressed cytotoxic effects in HeLa cells with IC50 values ranging from 5μg/mL to 80μg/mL in a dose-dependent manner.This present research highlights the presence of high thymol concentration in a novel wild mushroom that has antioxidant and anti-poliferative potential with therapeutic benefi ts.The application of thymol natural products from novel mushroom SMK-1 as nutrition supplements could inhibit oxidative stress triggered by numerous pathologies that may pave the way to develop a new therapeutic natural drug.
文摘To convert wave energy into usable forms of energy by utilizing heaving body, heaving bodies （buoys） which are buoyant in nature and float on the water surface are usually used. The wave exerts excess buoyancy force on the buoy, lifting it during the approach of wave crest while the gravity pulls it down during the wave trough. A hydraulic, direct or mechanical power takeoff is used to convert this up and down motion of the buoy to produce usable forms of energy. Though using a floating buoy for harnessing wave energy is conventional, this device faces many challenges in improving the overall conversion efficiency and survivability in extreme conditions. Up to the present, no studies have been done to harness ocean waves using a non-floating object and to find out the merits and demerits of the system. In the present paper, an innovative heaving body type of wave energy converter with a non-floating object was proposed to harness waves. It was also shown that the conversion efficiency and safety of the proposed device were significantly higher than any other device proposed with floating buoy. To demonstrate the improvements, experiments were conducted with non- floating body for different dimensions and the heave response was noted. Power generation was not considered in the experiment to observe the worst case response of the heaving body. The device was modeled in artificial neural network （ANN）, the heave response for various parameters were predicted, and compared with the experimental results. It was found that the ANN model could predict the heave response with an accuracy of 99%.
基金Higher Authorities for the grant of financial assistance with the Award of University Research Fellowship(Ref.No.No.H5/2009-2010/URF Order of the Vice chancellore,23011/2009)Professor and Head,Department of Zoology,Annamalai University for the laboratory facilities provided.
文摘Objective:To investigate the potentiality of mosquitocidal activity of Gliricidia sepium（C.sepium） （Jacq.）（Leguminosae）.Methods:Twenty five early third instar larvae of Anopheles stephensi （An.stephensi） were exposed to various concentrations（50-250 ppm） and the 24 h LC<sub>50</sub> values of the G.sepium extract was determined by probit analysis.The ovicidal activity was determined against An.stephensi to various concentrations ranging from 25-100 ppm under laboratory conditions.The eggs hatchabilily was assessed 48 h post treatment.The pupicidal activity was determined against An.stephensi to various concentrations ranging from 25-100 ppm.Mortality of each pupa was recorded after 24 h of exposure to the extract.Results:Results pertaining to the experiment clearly revealed that ethanol extract showed significant larvicidal,ovicidal and pupicidal activity against the An.stephensi.Larvicidal activity of ethanol extracts of G.sepium showed maximum mortality in 250 ppm concentration（96.0±2.4）%.Furthermore,the LC<sub>50</sub> was found to be 121.79 and the LC<sub>50</sub> value was recorded to be 231.98 ppm.Ovicidal activity of ethanol extract was assessed by assessing the egg hatchabilily.Highest concentration of both solvent extracts exhibited 100%ovicidal activity.Similarly,pupae exposed to different concentratioiLs of ethanol extract were found dead with 58.10%adult emergence when it was treated with 25 ppm concentration.Similarly,18.36（n=30;61.20%）;21.28（70.93） and 27.33（91.10） pupal mortality was recorded from the experimental pupae treated with 50,75 and 100 ppm concentration of extracts. Three fractions have been tested for their larvicidal activity of which the Fraction 3 showed the LC<sub>50</sub> and LC<sub>90</sub> values of 23.23 and 40.39 ppm.With regard to the ovicidal effect fraction 3 showed highest ovicidal activities than the other two fractions.Furthermore,there were no hatchabilily was recorded above 50 ppm（100%egg mortality） in the experimental group.Stat
文摘The intra-islet microvasculature is a critical interface between the blood and islet endocrine cells governing a number of cellular and pathophysiological processes associated with the pancreatic tissue. A growing body of evidence indicates a strong functional and physical interdependency of β-cells with endothelial cells(ECs), the building blocks of islet microvasculature. Intra-islet ECs, actively regulate vascular permeability and appear to play a role in fine-tuning blood glucose sensing and regulation. These cells also tend to behave as "guardians", controlling the expression and movement of a number of important immune mediators, thereby strongly contributing to the physiology of islets. This review will focus on the molecular signalling and crosstalk between the intra-islet ECs and β-cells and how their relationship can be a potential target for intervention strategies in islet pathology and islet transplantation.
基金Supported by the European-South American Consortium to Assess Liver-Originated Neoplasia(the ESCALON consortium),the European Union’s Horizon 2020 program,No.825510Robert Wood Johnson Foundation,Harold Amos Medical Faculty Development Program(to Debes JD)Fondo Nacional de Ciencia y Tecnologia de Chile,No.1191145(to Arrese M).
文摘Nonalcoholic fatty liver disease(NAFLD)is the most common cause of liver disease worldwide,and its prevalence increases continuously.As it predisposes to hepatocellular carcinoma both in the presence and in the absence of cirrhosis,it is not surprising that the incidence of NAFLD-related hepatocellular carcinoma would also rise.Some of the mechanisms involved in hepatocarcinogenesis are particular to individuals with fatty liver,and they help explain why liver cancer develops even in patients without cirrhosis.Genetic and immune-mediated mechanisms seem to play an important role in the development of hepatocellular carcinoma in this population.Currently,it is consensual that patients with NAFLD-related cirrhosis should be surveilled with ultrasonography every 6 mo(with or without alpha-fetoprotein),but it is known that they are less likely to follow this recommendation than individuals with other kinds of liver disease.Moreover,the performance of the methods of surveillance are lower in NAFLD than they are in other liver diseases.Furthermore,it is not clear which subgroups of patients without cirrhosis should undergo surveillance.Understanding the mechanisms of hepatocarcinogenesis in NAFLD could hopefully lead to the identification of biomarkers to be used in the surveillance for liver cancer in these individuals.By improving surveillance,tumors could be detected in earlier stages,amenable to curative treatments.
