Although different studies have associated coronavirus disease 2019(COVID-19)with the occurrence of liver injury,the hepatic injury route during the COVID-19 course is not yet fully understood.In order to better under...Although different studies have associated coronavirus disease 2019(COVID-19)with the occurrence of liver injury,the hepatic injury route during the COVID-19 course is not yet fully understood.In order to better understand the mechanisms of the disease,the human gut microbiota has been the subject of extensive discussion in the context of COVID-19 pathophysiology.However,many questions remain,including the risks of liver injury due to COVID-19 specific populations.Further research in this field could allow the discovery of new personalized treatment strategies aimed at improving the microbiota composition,thereby reducing COVID-19 severity and its complications in different populations.In this article,we discussed basic mechanisms of severe acute respiratory syndrome coronavirus 2 infection and recent evidence on the relationship between COVID-19,the gut microbiome and liver injury as well as proposed recommendations for further research.展开更多
The increasing global demand for energy,coupled with concerns about environmental sustainability,has underscored the need for a transition toward renewable energy sources.A well-structured teaching program under the f...The increasing global demand for energy,coupled with concerns about environmental sustainability,has underscored the need for a transition toward renewable energy sources.A well-structured teaching program under the framework of sustainable development in renewable energy seeks to give students the information,abilities,and critical thinking needed to solve energy-related problems sustainably.This research proposes AI-powered personalized learning,innovative real-time integration of diverse data,and adaptive teaching strategies to enhance student understanding regarding renewable energy concepts.The sheep flock-optimized innovative recurrent neural network(SFO-IRNN)will recommend relevant topics and resources based on students’performance.Renewable energy teaching data from assessmethments are combined with real-time IoT-based renewable energy data.This dataset contains renewable energy education using AI-driven teaching methods and internet-based learning.The data was preprocessed by handling missing values and min-max scaling.The data features were extracted using Fourier Transform(FT).Further application of 10-fold cross-validation will increase the reliability of the model as it can evaluate its performance metrics like accuracy,F1-score,recall,and precision on different subsets of student data,which improves its robustness and prevents overfitting.The findings showed that the proposed method is significantly better,which ensures that the students have a deeper theoretical and practical understanding of renewable energy technologies.In addition,integrating real-time IoT data from renewable energy sources gives students a chance to do live simulations and problems that would enhance analytical thinking and hands-on learning.The research shows that AI provides context-aware guidance on sustainable energy infrastructure,enhancing interactive and personalized learning.展开更多
The Tourism Industry plays a critical role in economic growth on the international scene but is equally responsible for contributing to greenhouse gas emissions and energy demand.The research analyzed the global trend...The Tourism Industry plays a critical role in economic growth on the international scene but is equally responsible for contributing to greenhouse gas emissions and energy demand.The research analyzed the global trends of energy consumption(EC)within this industry concerning environmental performance,limits,and prospects of sustained expan-sion.It includes 300 tourism-related businesses across different global economic regions.Key tourism factors include EC,greenhouse gas emissions,renewable energy(RE)use,tourism’s Gross Domestic Product(GDP)contribution,and energy efficiency.Statistical methods such as regression and panel data analysis assess the impact of tourism GDP,carbon emissions and RE.The regression analysis,including linear regression and panel data regression,to assess the influence of factors such as tourism GDP,carbon emissions,RE share,and energy efficiency improvements,providing a data-driven approach to understanding EC in tourism.The findings reveal regional differences,with developed regions consuming more energy per capita,while developing markets show progress in energy-efficient practices.The findings of the linear regression analysis show tourism GDP contribution(β=4,200).The outcomes of the panel data regression analysis show the t-statistic values of carbon emissions(t=5.64).The Difference-in-Differences analysis indicates that tourist GDP is greater in developed regions(β=4,100)compared to developing regions(β=3,500).Carbon emissions(β=4,800)are greater,although RE(β=4,200)and energy efficiency(β=2,500)increase more in developing nations.The research emphasizes expanding use of RE in tourism infrastructure,especially in ecotourism and green hotels.展开更多
MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices tak...MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices take the advantage of the exceptional electrical conductivity,mechanical flexibility,and biocompatibility of two-dimensional MXenes to enable noninvasive,tear-based monitoring of key physiological markers such as intraocular pressure and glucose levels.Recent developments focus on the integration of transparent MXene films into the conventional lens materials,allowing multifunctional performance including photothermal therapy,antimicrobial and anti-inflammation protection,and dehydration resistance.These innovations offer promising strategies for ocular disease management and eye protection.In addition to their multifunctionality,improvements in MXene synthesis and device engineering have enhanced the stability,transparency,and wearability of these lenses.Despite these advances,challenges remain in long-term biostability,scalable production,and integration with wireless communication systems.This review summarizes the current progress,key challenges,and future directions of MXene-based smart contact lenses,highlighting their transformative potential in next-generation digital healthcare and ophthalmic care.展开更多
Monkeypox(mpox)has been a public health emergency of international concern that emerged in mid-2022 and has spread to 110 countries.The clinical findings of the disease vary according to the seriousness of the cases.A...Monkeypox(mpox)has been a public health emergency of international concern that emerged in mid-2022 and has spread to 110 countries.The clinical findings of the disease vary according to the seriousness of the cases.Although its case fatality risk has not been high,a significant percentage of patients require hospitalization.In this context,local initiatives were taken to extend the limited supply of vaccines against the disease;however,such measures have not been sufficient to contain the spread of cases and ensure an equitable distribution of health resources.As a result,endemic regions of low-income countries continue to have insufficient access to mpox vaccination.Despite this and considering the global scope of the disease,there is still little discussion in the literature about the difficulties in achieving adequate vaccination coverage rates for the target population of interest.In this article,we briefly discussed general aspects of the disease,including its surveillance,the current global context of challenges for mpox vaccination,and issues on global allocation of health resources as well as proposed related recommendations.展开更多
Lactoferrin is a multifunctional protein that exhibits anti-inflammatory,immune regulating and anti-infective properties.One of its receptor sites is located on severe acute respiratory syndrome coronavirus 2.The bind...Lactoferrin is a multifunctional protein that exhibits anti-inflammatory,immune regulating and anti-infective properties.One of its receptor sites is located on severe acute respiratory syndrome coronavirus 2.The binding of lactoferrin with heparin sulfate proteoglycans may prevent the first contact between the virus and host cells,thus preventing subsequent infection.Given that lactoferrin may act as a natural mucosal barrier,an intranasal treatment together with its oral intake can be hypothesized to prevent the spread,infection and inflammation caused by coronavirus disease 2019(COVID-19).Moreover,the literature reports that vitamin D plays an essential role in promoting immune response.With its antiinflammatory and immunoregulatory properties,vitamin D is critical for activating the immune system’s defenses,improving immune cell function.Different studies also demonstrate that lactoferrin is a potential activator of the vitamin D receptor.In this sense,the combined use of lactoferrin(through an association of oral intake and a nasal spray formulation)and vitamin D could represent a valuable therapy for COVID-19 treatment and prevention.However,further randomized clinical trials are needed before recommending/prescribing them.展开更多
Water power is one of the key renewable energy resources,whose efficiency is often hampered due to inefficient water flow management,turbine performance,and environmental variations.Most existing optimization techniqu...Water power is one of the key renewable energy resources,whose efficiency is often hampered due to inefficient water flow management,turbine performance,and environmental variations.Most existing optimization techniques lack the real-time adaptability to sufficiently allocate resources in terms of location and time.Hence,a novel Scalable Tas-manian Devil Optimization(STDO)algorithm is introduced to optimize hydropower generation for maximum power efficiency.Using the STDO to model important system characteristics including water flow,turbine changes,and energy conversion efficiency is part of the process.In the final analysis,optimizing these settings in would help reduce inefficiencies and maximize power generation output.Following that,simulations based on actual hydroelectric data are used to analyze the algorithm's effectiveness.The simulation results provide evidence that the STDO algorithm can enhance hydropower plant efficiency tremendously translating to considerable energy output augmentation compared to conven-tional optimization methods.STDO achieves the reliability(92.5),resiliency(74.3),and reduced vulnerability(9.3).To guarantee increased efficiency towards ecologically friendly power generation,the STDO algorithm may thus offer efficient resource optimization for hydropower.A clear route is made available for expanding the efficiency of current hydropower facilities while tackling the long-term objectives of reducing the environmental impact and increasing the energy output of energy produced from renewable sources.展开更多
With the rapid advancement of robotics and Artificial Intelligence(AI),aerobics training companion robots now support eco-friendly fitness by reducing reliance on nonrenewable energy.This study presents a solar-powere...With the rapid advancement of robotics and Artificial Intelligence(AI),aerobics training companion robots now support eco-friendly fitness by reducing reliance on nonrenewable energy.This study presents a solar-powered aerobics training robot featuring an adaptive energy management system designed for sustainability and efficiency.The robot integrates machine vision with an enhanced Dynamic Cheetah Optimizer and Bayesian Neural Network(DynCO-BNN)to enable precise exercise monitoring and real-time feedback.Solar tracking technology ensures optimal energy absorption,while a microcontroller-based regulator manages power distribution and robotic movement.Dual-battery switching ensures uninterrupted operation,aided by light and I/V sensors for energy optimization.Using the INSIGHT-LME IMU dataset,which includes motion data from 76 individuals performing Local Muscular Endurance(LME)exercises,the system detects activities,counts repetitions,and recognizes human movements.To minimize energy use during data processing,Min-Max normalization and two-dimensional Discrete Fourier Transform(2D-DFT)are applied,boosting computational efficiency.The robot accurately identifies upper and lower limb movements,delivering effective exercise guidance.The DynCO-BNN model achieved a high tracking accuracy of 96.8%.Results confirm improved solar utilization,ecological sustainability,and reduced dependence on fossil fuels—positioning the robot as a smart,energy-efficient solution for next-generation fitness technology.展开更多
As the demands for environmental sustainability and the requirements to lower carbon emissions have escalated,New Energy Vehicles(NEVs)have emerged as a compelling substitute for fossil-fuel-run automobiles.Hence,a sm...As the demands for environmental sustainability and the requirements to lower carbon emissions have escalated,New Energy Vehicles(NEVs)have emerged as a compelling substitute for fossil-fuel-run automobiles.Hence,a smart energy management strategy has been developed to enhance the performance of NEVs,maximizing the sustainability of transportation systems and minimizing environmental impacts.The system combines different power reserves,includ-ing a photovoltaic(PV)generator,fuel cell(FC),and battery system,to provide a continuous energy supply,even when the vehicle is running.The Multi-Directional Power Transfer converter for the battery provides the required energy ad-aptation between the input and output.The FC and PV systems are all connected through a direct current/direct current converter to effectively charge the battery whenever excess energy is present.The new energy management technique called Optimized Ant Colony Algorithm is proposed to dynamically allocate power among the different power sources,improving system efficiency.Unlike traditional methods,the suggested approach actively optimizes energy flow accord-ing to actual demand and availability,minimizing energy losses and enhancing sustainability.The MATLAB/Simulink tool was used to simulate the energetic performance of an electric car utilizing the suggested approach.The performance of this multi-source power system is assessed by contrasting the energy the PV and FC generating devices offer,and the energy generation of each recharge system.Additionally,the battery power comparison validates the cost-effectiveness and sustainability of the proposed model in NEVs.Results designate a significant improvement in energy efficiency and overall NEV environmental sustainability within contemporary transportation networks.展开更多
Background:Head and neck cancers(HNC)account for a significant global health burden,with increasing incidence rates and complex treatment requirements.Traditional diagnostic and therapeutic approaches,while effective,...Background:Head and neck cancers(HNC)account for a significant global health burden,with increasing incidence rates and complex treatment requirements.Traditional diagnostic and therapeutic approaches,while effective,often result in substantial morbidity and limitations in personalized care.This review provides a comprehensive overview of the latest innovations in diagnostics and therapeutic strategies for HNC from 2015 to 2024.Methods:A review of literature focused on pe-reviewed journals,clinical trial databases,and oncology conference proceedings.Key areas include molecular diagnostics,imaging technologies,minimally invasive surgeries,and innovative therapeutic strategies.Results:Technologies like liquid biopsy next-generation sequencing(NGS)have greatly improved diagnostic accuracy and personalization in HNC care.These advancements have improved survival rates and enhanced patients’quality of life.Personalized therapeutic approaches,including immune checkpoint inhibitors,precision radiation therapy,and surgery,have led to enhanced treatment efficacy while reducing side effects.The integration of AI and machine learning into diagnostics and treatment planning shows promise in optimizing clinical decision-making and predicting treatment outcomes.Conclusion:The current innovations in diagnostics and therapeutics are reshaping the management of head and neck cancer,offering more tailored and effective approaches to care.Overall,the continuous integration of these innovations in clinical practice is reshaping HNC treatment and improving patient outcomes and survival rates.Future research should focus on further refining these technologies,addressing challenges related to accessibility,and exploring their long-term clinical benefits in diverse patient populations.展开更多
The field of photocatalysis has witnessed a significant advancement in the development of bioinspired and biomimetic photocatalysts for various biomedical applications,including drug delivery,tissue engineering,cancer...The field of photocatalysis has witnessed a significant advancement in the development of bioinspired and biomimetic photocatalysts for various biomedical applications,including drug delivery,tissue engineering,cancer therapy,and bioimaging.Nature has evolved efficient light-harvesting systems and energy conversion mechanisms,which serve as a benchmark for researchers.However,reproducing such complexity and harnessing it for biomedical applications is a daunting task.It requires a comprehensive understanding of the underlying biological processes and the ability to replicate them synthetically.By utilizing light energy,these photocatalysts can trigger specific chemical reactions,leading to targeted drug release,enhanced tissue regeneration,and precise imaging of biological structures.In this context,addressing the stability,long-term performance,scalability,and costeffectiveness of these materials is crucial for their widespread implementation in biomedical applications.While challenges such as complexity and stability persist,their advantages such as targeted drug delivery and personalized medicine make them a fascinating area of research.The purpose of this review is to provide a comprehensive analysis and evaluation of existing research,highlighting the advancements,current challenges,advantages,limitations,and future prospects of bioinspired and biomimetic photocatalysts in biomedicine.展开更多
Since the beginning of the coronavirus disease(COVID)2019 pandemic,thou-sands of articles on the topic have been published,and although there is a growing trend of research on another associated condition,long coronav...Since the beginning of the coronavirus disease(COVID)2019 pandemic,thou-sands of articles on the topic have been published,and although there is a growing trend of research on another associated condition,long coronavirus disease,important points still remain to be clarified in this respect.Robust evidence has suggested a relevant link between new clinical discoveries and molecular mechanisms that could be associated with the manifestations of different signs and symptoms involving cases of long COVID.However,one of the existing gaps that requires further investigation concerns a possible rela-tionship between gut candidiasis and long COVID.While recent studies also suggest an interplay between the occurrence of these two conditions,it is not yet fully clear how this may happen,as well as the specifics regarding the possible pathophysiological mechanisms involved.In this connection and with the advent of a potential strengthening of the body of evidence supporting the hypothesis of a link between gut candidiasis and long COVID,a better understanding of the clinical presentation,pathophysiology and clinical management of such a relationship should be essential and useful for both,additional advances towards more targeted research and appropriate case management.Knowing more about the signs,symptoms,and complications associated with cases of long COVID is essential in order to more effectively mitigate the related burden and provide a higher quality of care and life for the affected population.In light of this and the need for better outcomes,here we review and discuss the content on different aspects of long COVID,including its pathophysiology and the existing evidence of a potential relationship between such a condition and gut candidiasis,as well as suggest propositions for future related research.INTRODUCTION Long coronavirus disease(COVID)is a condition characterized by the emergence of new symptoms or the persistence of existing symptoms for at least two months,three months after the initial infection[1].Although such a condition has initially been extensively studied,there are still many contradictions between the findings and methodologies of different related research articles[2,3].Within this context and since the middle of the COVID-19 pandemic,important studies have been published in the literature reporting the occurrence of fungal infections among COVID-19 patients[4,5],including mucormycosis,and oral candidiasis[6].On the other hand,evidence on a possible relationship between gut candidiasis and long COVID is still recent[7].Indeed,a marked gastrointestinal(GI)fungal dysbiosis together with perturbation of the lung-gut axis has been observed in severe COVID-19 patients.This combined with neutrophilia and an exacerbated worsening of the inflammatory response,which can be implicated in the acute and chronic immunopathology of such a viral disease[7,8].Furthermore,persistent changes in the immune system may also occur,resulting in a possible relationship with the occurrence of long COVID[7].However,more targeted evidence is still scarce and the specific topic related to gut candidiasis has been the subject of little discussion.In response to this,in this article we discuss general aspects of long COVID,the inherent pathophysiology and current evidence of a potential relationship between this condition and gut candidiasis,in addition to providing recommendations for future research.ACKNOWLEDGEMENTS Tovani-Palone MR thanks the Saveetha Institute of Medical and Technical Sciences for supporting this study.展开更多
The coronavirus disease 2019(COVID-19)pandemic has imposed a radical change in daily life and work routine.In this context,health systems have suffered important and serious repercussions in all fields.Among the chang...The coronavirus disease 2019(COVID-19)pandemic has imposed a radical change in daily life and work routine.In this context,health systems have suffered important and serious repercussions in all fields.Among the changes brought about by the state of global health emergency,adjustments to guidelines,priorities,structures,professional teams,and epidemiological data stand out.In light of this,the oncological field has witnessed several changes in the approach to cancer,whether due to delay in diagnosis,screening deficit,personnel shortage or the psychological impact that the pandemic has had on cancer patients.This article focuses on the management of oral carcinoma and the surgical approaches that oral and maxillofacial specialists have had at their disposal during the health emergency.In this period,the oral and maxillofacial surgeons have faced many obstacles.The proximity of maxillofacial structures to the airways,the need of elective and punctual procedures in cancerous lesions,the aggressiveness of head and neck tumors,and the need for important healthcare costs to support such delicate surgeries are examples of some of the challenges imposed for this field.One of the possible surgical'solutions'to the difficulties in managing surgical cases of oral carcinoma during the pandemic is locoregional flaps,which in the pre-COVID-19 era were less used than free flaps.However,during the health emergency,its use has been widely reassessed.This setback may represent a precedent for opening up new reflections.In the course of a long-term pandemic,a reassessment of the validity of different medical and surgical therapeutic approaches should be considered.Finally,given that the pandemic has highlighted vulnerabilities and shortcomings in a number of ways,including the issues of essential resource shortages,underinvestment in public health services,lack of coordination and versatility among politicians,policymakers and health leaders,resulting in overloaded health systems,rapid case development,and high mortality,a more careful analysis of the changes needed in different health systems to satisfactorily face future emergencies is essential to be carried out.This should be directed especially towards improving the management of health systems,their coordination as well as reviewing related practices,even in the surgical field.展开更多
Dear Editor,we would like to share ideas on the publication"Incidence and prognosis of olfactory and gustatory dysfunctions related to SARS-CoV-2 Omicron strain infection in China:A national multicenter survey of...Dear Editor,we would like to share ideas on the publication"Incidence and prognosis of olfactory and gustatory dysfunctions related to SARS-CoV-2 Omicron strain infection in China:A national multicenter survey of 35,566 individuals.1"A study on 35,566 COVID-19 patients'olfactory and taste impairment was carried out by 45 Grade-A institutions in China.The chance of getting these symptoms was shown to be influenced by characteristics such as gender,smoking,history of vaccinations,and oral health.The total incidence of these dysfunctions was determined to be 67.75%.In addition to measuring the length of symptoms and the rate of self-reported improvement。展开更多
基金the Italian Ministry of Health-Ricerca Corrente 2022Saveetha Institute of Medical and Technical Sciences for supporting this study
文摘Although different studies have associated coronavirus disease 2019(COVID-19)with the occurrence of liver injury,the hepatic injury route during the COVID-19 course is not yet fully understood.In order to better understand the mechanisms of the disease,the human gut microbiota has been the subject of extensive discussion in the context of COVID-19 pathophysiology.However,many questions remain,including the risks of liver injury due to COVID-19 specific populations.Further research in this field could allow the discovery of new personalized treatment strategies aimed at improving the microbiota composition,thereby reducing COVID-19 severity and its complications in different populations.In this article,we discussed basic mechanisms of severe acute respiratory syndrome coronavirus 2 infection and recent evidence on the relationship between COVID-19,the gut microbiome and liver injury as well as proposed recommendations for further research.
文摘The increasing global demand for energy,coupled with concerns about environmental sustainability,has underscored the need for a transition toward renewable energy sources.A well-structured teaching program under the framework of sustainable development in renewable energy seeks to give students the information,abilities,and critical thinking needed to solve energy-related problems sustainably.This research proposes AI-powered personalized learning,innovative real-time integration of diverse data,and adaptive teaching strategies to enhance student understanding regarding renewable energy concepts.The sheep flock-optimized innovative recurrent neural network(SFO-IRNN)will recommend relevant topics and resources based on students’performance.Renewable energy teaching data from assessmethments are combined with real-time IoT-based renewable energy data.This dataset contains renewable energy education using AI-driven teaching methods and internet-based learning.The data was preprocessed by handling missing values and min-max scaling.The data features were extracted using Fourier Transform(FT).Further application of 10-fold cross-validation will increase the reliability of the model as it can evaluate its performance metrics like accuracy,F1-score,recall,and precision on different subsets of student data,which improves its robustness and prevents overfitting.The findings showed that the proposed method is significantly better,which ensures that the students have a deeper theoretical and practical understanding of renewable energy technologies.In addition,integrating real-time IoT data from renewable energy sources gives students a chance to do live simulations and problems that would enhance analytical thinking and hands-on learning.The research shows that AI provides context-aware guidance on sustainable energy infrastructure,enhancing interactive and personalized learning.
文摘The Tourism Industry plays a critical role in economic growth on the international scene but is equally responsible for contributing to greenhouse gas emissions and energy demand.The research analyzed the global trends of energy consumption(EC)within this industry concerning environmental performance,limits,and prospects of sustained expan-sion.It includes 300 tourism-related businesses across different global economic regions.Key tourism factors include EC,greenhouse gas emissions,renewable energy(RE)use,tourism’s Gross Domestic Product(GDP)contribution,and energy efficiency.Statistical methods such as regression and panel data analysis assess the impact of tourism GDP,carbon emissions and RE.The regression analysis,including linear regression and panel data regression,to assess the influence of factors such as tourism GDP,carbon emissions,RE share,and energy efficiency improvements,providing a data-driven approach to understanding EC in tourism.The findings reveal regional differences,with developed regions consuming more energy per capita,while developing markets show progress in energy-efficient practices.The findings of the linear regression analysis show tourism GDP contribution(β=4,200).The outcomes of the panel data regression analysis show the t-statistic values of carbon emissions(t=5.64).The Difference-in-Differences analysis indicates that tourist GDP is greater in developed regions(β=4,100)compared to developing regions(β=3,500).Carbon emissions(β=4,800)are greater,although RE(β=4,200)and energy efficiency(β=2,500)increase more in developing nations.The research emphasizes expanding use of RE in tourism infrastructure,especially in ecotourism and green hotels.
文摘MXene-based smart contact lenses demonstrate a cutting-edge advancement in wearable ophthalmic technology,combining real-time biosensing,therapeutic capabilities,and user comfort in a single platform.These devices take the advantage of the exceptional electrical conductivity,mechanical flexibility,and biocompatibility of two-dimensional MXenes to enable noninvasive,tear-based monitoring of key physiological markers such as intraocular pressure and glucose levels.Recent developments focus on the integration of transparent MXene films into the conventional lens materials,allowing multifunctional performance including photothermal therapy,antimicrobial and anti-inflammation protection,and dehydration resistance.These innovations offer promising strategies for ocular disease management and eye protection.In addition to their multifunctionality,improvements in MXene synthesis and device engineering have enhanced the stability,transparency,and wearability of these lenses.Despite these advances,challenges remain in long-term biostability,scalable production,and integration with wireless communication systems.This review summarizes the current progress,key challenges,and future directions of MXene-based smart contact lenses,highlighting their transformative potential in next-generation digital healthcare and ophthalmic care.
基金the Italian Ministry of Health-Ricerca Corrente 2023Saveetha Institute of Medical and Technical Sciences for supporting this study。
文摘Monkeypox(mpox)has been a public health emergency of international concern that emerged in mid-2022 and has spread to 110 countries.The clinical findings of the disease vary according to the seriousness of the cases.Although its case fatality risk has not been high,a significant percentage of patients require hospitalization.In this context,local initiatives were taken to extend the limited supply of vaccines against the disease;however,such measures have not been sufficient to contain the spread of cases and ensure an equitable distribution of health resources.As a result,endemic regions of low-income countries continue to have insufficient access to mpox vaccination.Despite this and considering the global scope of the disease,there is still little discussion in the literature about the difficulties in achieving adequate vaccination coverage rates for the target population of interest.In this article,we briefly discussed general aspects of the disease,including its surveillance,the current global context of challenges for mpox vaccination,and issues on global allocation of health resources as well as proposed related recommendations.
文摘Lactoferrin is a multifunctional protein that exhibits anti-inflammatory,immune regulating and anti-infective properties.One of its receptor sites is located on severe acute respiratory syndrome coronavirus 2.The binding of lactoferrin with heparin sulfate proteoglycans may prevent the first contact between the virus and host cells,thus preventing subsequent infection.Given that lactoferrin may act as a natural mucosal barrier,an intranasal treatment together with its oral intake can be hypothesized to prevent the spread,infection and inflammation caused by coronavirus disease 2019(COVID-19).Moreover,the literature reports that vitamin D plays an essential role in promoting immune response.With its antiinflammatory and immunoregulatory properties,vitamin D is critical for activating the immune system’s defenses,improving immune cell function.Different studies also demonstrate that lactoferrin is a potential activator of the vitamin D receptor.In this sense,the combined use of lactoferrin(through an association of oral intake and a nasal spray formulation)and vitamin D could represent a valuable therapy for COVID-19 treatment and prevention.However,further randomized clinical trials are needed before recommending/prescribing them.
文摘Water power is one of the key renewable energy resources,whose efficiency is often hampered due to inefficient water flow management,turbine performance,and environmental variations.Most existing optimization techniques lack the real-time adaptability to sufficiently allocate resources in terms of location and time.Hence,a novel Scalable Tas-manian Devil Optimization(STDO)algorithm is introduced to optimize hydropower generation for maximum power efficiency.Using the STDO to model important system characteristics including water flow,turbine changes,and energy conversion efficiency is part of the process.In the final analysis,optimizing these settings in would help reduce inefficiencies and maximize power generation output.Following that,simulations based on actual hydroelectric data are used to analyze the algorithm's effectiveness.The simulation results provide evidence that the STDO algorithm can enhance hydropower plant efficiency tremendously translating to considerable energy output augmentation compared to conven-tional optimization methods.STDO achieves the reliability(92.5),resiliency(74.3),and reduced vulnerability(9.3).To guarantee increased efficiency towards ecologically friendly power generation,the STDO algorithm may thus offer efficient resource optimization for hydropower.A clear route is made available for expanding the efficiency of current hydropower facilities while tackling the long-term objectives of reducing the environmental impact and increasing the energy output of energy produced from renewable sources.
文摘With the rapid advancement of robotics and Artificial Intelligence(AI),aerobics training companion robots now support eco-friendly fitness by reducing reliance on nonrenewable energy.This study presents a solar-powered aerobics training robot featuring an adaptive energy management system designed for sustainability and efficiency.The robot integrates machine vision with an enhanced Dynamic Cheetah Optimizer and Bayesian Neural Network(DynCO-BNN)to enable precise exercise monitoring and real-time feedback.Solar tracking technology ensures optimal energy absorption,while a microcontroller-based regulator manages power distribution and robotic movement.Dual-battery switching ensures uninterrupted operation,aided by light and I/V sensors for energy optimization.Using the INSIGHT-LME IMU dataset,which includes motion data from 76 individuals performing Local Muscular Endurance(LME)exercises,the system detects activities,counts repetitions,and recognizes human movements.To minimize energy use during data processing,Min-Max normalization and two-dimensional Discrete Fourier Transform(2D-DFT)are applied,boosting computational efficiency.The robot accurately identifies upper and lower limb movements,delivering effective exercise guidance.The DynCO-BNN model achieved a high tracking accuracy of 96.8%.Results confirm improved solar utilization,ecological sustainability,and reduced dependence on fossil fuels—positioning the robot as a smart,energy-efficient solution for next-generation fitness technology.
文摘As the demands for environmental sustainability and the requirements to lower carbon emissions have escalated,New Energy Vehicles(NEVs)have emerged as a compelling substitute for fossil-fuel-run automobiles.Hence,a smart energy management strategy has been developed to enhance the performance of NEVs,maximizing the sustainability of transportation systems and minimizing environmental impacts.The system combines different power reserves,includ-ing a photovoltaic(PV)generator,fuel cell(FC),and battery system,to provide a continuous energy supply,even when the vehicle is running.The Multi-Directional Power Transfer converter for the battery provides the required energy ad-aptation between the input and output.The FC and PV systems are all connected through a direct current/direct current converter to effectively charge the battery whenever excess energy is present.The new energy management technique called Optimized Ant Colony Algorithm is proposed to dynamically allocate power among the different power sources,improving system efficiency.Unlike traditional methods,the suggested approach actively optimizes energy flow accord-ing to actual demand and availability,minimizing energy losses and enhancing sustainability.The MATLAB/Simulink tool was used to simulate the energetic performance of an electric car utilizing the suggested approach.The performance of this multi-source power system is assessed by contrasting the energy the PV and FC generating devices offer,and the energy generation of each recharge system.Additionally,the battery power comparison validates the cost-effectiveness and sustainability of the proposed model in NEVs.Results designate a significant improvement in energy efficiency and overall NEV environmental sustainability within contemporary transportation networks.
文摘Background:Head and neck cancers(HNC)account for a significant global health burden,with increasing incidence rates and complex treatment requirements.Traditional diagnostic and therapeutic approaches,while effective,often result in substantial morbidity and limitations in personalized care.This review provides a comprehensive overview of the latest innovations in diagnostics and therapeutic strategies for HNC from 2015 to 2024.Methods:A review of literature focused on pe-reviewed journals,clinical trial databases,and oncology conference proceedings.Key areas include molecular diagnostics,imaging technologies,minimally invasive surgeries,and innovative therapeutic strategies.Results:Technologies like liquid biopsy next-generation sequencing(NGS)have greatly improved diagnostic accuracy and personalization in HNC care.These advancements have improved survival rates and enhanced patients’quality of life.Personalized therapeutic approaches,including immune checkpoint inhibitors,precision radiation therapy,and surgery,have led to enhanced treatment efficacy while reducing side effects.The integration of AI and machine learning into diagnostics and treatment planning shows promise in optimizing clinical decision-making and predicting treatment outcomes.Conclusion:The current innovations in diagnostics and therapeutics are reshaping the management of head and neck cancer,offering more tailored and effective approaches to care.Overall,the continuous integration of these innovations in clinical practice is reshaping HNC treatment and improving patient outcomes and survival rates.Future research should focus on further refining these technologies,addressing challenges related to accessibility,and exploring their long-term clinical benefits in diverse patient populations.
文摘The field of photocatalysis has witnessed a significant advancement in the development of bioinspired and biomimetic photocatalysts for various biomedical applications,including drug delivery,tissue engineering,cancer therapy,and bioimaging.Nature has evolved efficient light-harvesting systems and energy conversion mechanisms,which serve as a benchmark for researchers.However,reproducing such complexity and harnessing it for biomedical applications is a daunting task.It requires a comprehensive understanding of the underlying biological processes and the ability to replicate them synthetically.By utilizing light energy,these photocatalysts can trigger specific chemical reactions,leading to targeted drug release,enhanced tissue regeneration,and precise imaging of biological structures.In this context,addressing the stability,long-term performance,scalability,and costeffectiveness of these materials is crucial for their widespread implementation in biomedical applications.While challenges such as complexity and stability persist,their advantages such as targeted drug delivery and personalized medicine make them a fascinating area of research.The purpose of this review is to provide a comprehensive analysis and evaluation of existing research,highlighting the advancements,current challenges,advantages,limitations,and future prospects of bioinspired and biomimetic photocatalysts in biomedicine.
文摘Since the beginning of the coronavirus disease(COVID)2019 pandemic,thou-sands of articles on the topic have been published,and although there is a growing trend of research on another associated condition,long coronavirus disease,important points still remain to be clarified in this respect.Robust evidence has suggested a relevant link between new clinical discoveries and molecular mechanisms that could be associated with the manifestations of different signs and symptoms involving cases of long COVID.However,one of the existing gaps that requires further investigation concerns a possible rela-tionship between gut candidiasis and long COVID.While recent studies also suggest an interplay between the occurrence of these two conditions,it is not yet fully clear how this may happen,as well as the specifics regarding the possible pathophysiological mechanisms involved.In this connection and with the advent of a potential strengthening of the body of evidence supporting the hypothesis of a link between gut candidiasis and long COVID,a better understanding of the clinical presentation,pathophysiology and clinical management of such a relationship should be essential and useful for both,additional advances towards more targeted research and appropriate case management.Knowing more about the signs,symptoms,and complications associated with cases of long COVID is essential in order to more effectively mitigate the related burden and provide a higher quality of care and life for the affected population.In light of this and the need for better outcomes,here we review and discuss the content on different aspects of long COVID,including its pathophysiology and the existing evidence of a potential relationship between such a condition and gut candidiasis,as well as suggest propositions for future related research.INTRODUCTION Long coronavirus disease(COVID)is a condition characterized by the emergence of new symptoms or the persistence of existing symptoms for at least two months,three months after the initial infection[1].Although such a condition has initially been extensively studied,there are still many contradictions between the findings and methodologies of different related research articles[2,3].Within this context and since the middle of the COVID-19 pandemic,important studies have been published in the literature reporting the occurrence of fungal infections among COVID-19 patients[4,5],including mucormycosis,and oral candidiasis[6].On the other hand,evidence on a possible relationship between gut candidiasis and long COVID is still recent[7].Indeed,a marked gastrointestinal(GI)fungal dysbiosis together with perturbation of the lung-gut axis has been observed in severe COVID-19 patients.This combined with neutrophilia and an exacerbated worsening of the inflammatory response,which can be implicated in the acute and chronic immunopathology of such a viral disease[7,8].Furthermore,persistent changes in the immune system may also occur,resulting in a possible relationship with the occurrence of long COVID[7].However,more targeted evidence is still scarce and the specific topic related to gut candidiasis has been the subject of little discussion.In response to this,in this article we discuss general aspects of long COVID,the inherent pathophysiology and current evidence of a potential relationship between this condition and gut candidiasis,in addition to providing recommendations for future research.ACKNOWLEDGEMENTS Tovani-Palone MR thanks the Saveetha Institute of Medical and Technical Sciences for supporting this study.
文摘The coronavirus disease 2019(COVID-19)pandemic has imposed a radical change in daily life and work routine.In this context,health systems have suffered important and serious repercussions in all fields.Among the changes brought about by the state of global health emergency,adjustments to guidelines,priorities,structures,professional teams,and epidemiological data stand out.In light of this,the oncological field has witnessed several changes in the approach to cancer,whether due to delay in diagnosis,screening deficit,personnel shortage or the psychological impact that the pandemic has had on cancer patients.This article focuses on the management of oral carcinoma and the surgical approaches that oral and maxillofacial specialists have had at their disposal during the health emergency.In this period,the oral and maxillofacial surgeons have faced many obstacles.The proximity of maxillofacial structures to the airways,the need of elective and punctual procedures in cancerous lesions,the aggressiveness of head and neck tumors,and the need for important healthcare costs to support such delicate surgeries are examples of some of the challenges imposed for this field.One of the possible surgical'solutions'to the difficulties in managing surgical cases of oral carcinoma during the pandemic is locoregional flaps,which in the pre-COVID-19 era were less used than free flaps.However,during the health emergency,its use has been widely reassessed.This setback may represent a precedent for opening up new reflections.In the course of a long-term pandemic,a reassessment of the validity of different medical and surgical therapeutic approaches should be considered.Finally,given that the pandemic has highlighted vulnerabilities and shortcomings in a number of ways,including the issues of essential resource shortages,underinvestment in public health services,lack of coordination and versatility among politicians,policymakers and health leaders,resulting in overloaded health systems,rapid case development,and high mortality,a more careful analysis of the changes needed in different health systems to satisfactorily face future emergencies is essential to be carried out.This should be directed especially towards improving the management of health systems,their coordination as well as reviewing related practices,even in the surgical field.
文摘Dear Editor,we would like to share ideas on the publication"Incidence and prognosis of olfactory and gustatory dysfunctions related to SARS-CoV-2 Omicron strain infection in China:A national multicenter survey of 35,566 individuals.1"A study on 35,566 COVID-19 patients'olfactory and taste impairment was carried out by 45 Grade-A institutions in China.The chance of getting these symptoms was shown to be influenced by characteristics such as gender,smoking,history of vaccinations,and oral health.The total incidence of these dysfunctions was determined to be 67.75%.In addition to measuring the length of symptoms and the rate of self-reported improvement。
