The dramatic rise in the number of people living in cities has made many environmental and social problems worse.The search for a productive method for disposing of solid waste is the most notable of these problems.Ma...The dramatic rise in the number of people living in cities has made many environmental and social problems worse.The search for a productive method for disposing of solid waste is the most notable of these problems.Many scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated ambiguity.The goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site selection.The characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these uncertainties.To tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s method.Following this,an intelligent algorithm is suggested.The steps of the suggested algorithm are explained with an example that explains itself.The compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their viability.This study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,respectively.It uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior literature.It is simpler for the decisionmakers to look at each option separately because the decision is uncertain.Comparing the computed results,it is discovered that they are consistent and dependable because of their preferred properties.展开更多
Interferon regulatory factor 7 plays a crucial role in the innate immune response.However,whether interferon regulatory factor 7-mediated signaling contributes to Parkinson's disease remains unknown.Here we report...Interferon regulatory factor 7 plays a crucial role in the innate immune response.However,whether interferon regulatory factor 7-mediated signaling contributes to Parkinson's disease remains unknown.Here we report that interferon regulatory factor 7 is markedly up-regulated in a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced mouse model of Parkinson's disease and co-localizes with microglial cells.Both the selective cyclic guanosine monophosphate adenosine monophosphate synthase inhibitor RU.521 and the stimulator of interferon genes inhibitor H151 effectively suppressed interferon regulatory factor 7 activation in BV2 microglia exposed to 1-methyl-4-phenylpyridinium and inhibited transformation of mouse BV2 microglia into the neurotoxic M1 phenotype.In addition,si RNA-mediated knockdown of interferon regulatory factor 7 expression in BV2 microglia reduced the expression of inducible nitric oxide synthase,tumor necrosis factorα,CD16,CD32,and CD86 and increased the expression of the anti-inflammatory markers ARG1 and YM1.Taken together,our findings indicate that the cyclic guanosine monophosphate adenosine monophosphate synthase-stimulator of interferon genes-interferon regulatory factor 7 pathway plays a crucial role in the pathogenesis of Parkinson's disease.展开更多
Ibrutinib,a targeted therapy for B-cell malignancies,has shown remarkable efficacy in treating various hematologic cancers.However,its clinical use has raised concerns regarding cardiovascular complications,notably at...Ibrutinib,a targeted therapy for B-cell malignancies,has shown remarkable efficacy in treating various hematologic cancers.However,its clinical use has raised concerns regarding cardiovascular complications,notably atrial fibrillation(AF).This comprehensive review critically evaluates the association between ibrutinib and AF by examining incidence,risk factors,mechanistic links,and management strategies.Through an extensive analysis of original research articles,this review elucidates the complex interplay between ibrutinib’s therapeutic benefits and cardiovascular risks.Moreover,it highlights the need for personalized treatment approaches,vigilant monitoring,and interdisciplinary collaboration to optimize patient outcomes and safety in the context of ibrutinib therapy.The review provides a valuable resource for healthcare professionals aiming to navigate the intricacies of ibrutinib’s therapeutic landscape while prioritizing patient well-being.展开更多
As a vital infrastructure initiative with significant impacts on national development and public welfare,water conservancy projects play an essential role in advancing agricultural development and mitigating losses ca...As a vital infrastructure initiative with significant impacts on national development and public welfare,water conservancy projects play an essential role in advancing agricultural development and mitigating losses caused by flooding.However,these projects often require substantial investments and extended construction periods,leading to the inevitable emergence of various financial risks during implementation.This paper aims to explore the current challenges in financial risk management of the S water conservancy project,offering practical management strategies and solutions to address these financial difficulties.Through a detailed assessment and analysis of the S water conservancy project,the study seeks to provide valuable references and insights for similar projects to better manage financial risks,ensuring their smooth progression and successful completion.The proposed control measures are designed not only to effectively mitigate the financial risks specific to the S water conservancy project but also to offer actionable lessons for other similar projects.By promoting and applying these measures,the overall financial management capabilities of the industry can be enhanced,providing robust support for the sustainable development of water conservancy projects.展开更多
The electric power industry is undergoing profound transformations driven by big data,posing challenges to the traditional power grid marketing management model.These challenges include neglecting market demands,insuf...The electric power industry is undergoing profound transformations driven by big data,posing challenges to the traditional power grid marketing management model.These challenges include neglecting market demands,insufficient data support,and inadequate customer service.The application of big data technology offers innovative solutions for power grid marketing management,encompassing critical aspects such as data collection and integration,storage management,analysis,and mining.By leveraging these technologies,power grid enterprises can precisely understand customer needs,optimize marketing strategies,and enhance operational efficiency.This paper explores strategies for power grid marketing management based on big data,addressing areas such as customer segmentation and personalized services,as well as market demand forecasting and response.Furthermore,it proposes implementation pathways,including essential elements such as organizational structure and team building,data quality and governance systems,training,and cultural development.These efforts aim to ensure the effective application of big data technology and maximize its value.展开更多
文摘The dramatic rise in the number of people living in cities has made many environmental and social problems worse.The search for a productive method for disposing of solid waste is the most notable of these problems.Many scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated ambiguity.The goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site selection.The characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these uncertainties.To tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s method.Following this,an intelligent algorithm is suggested.The steps of the suggested algorithm are explained with an example that explains itself.The compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their viability.This study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,respectively.It uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior literature.It is simpler for the decisionmakers to look at each option separately because the decision is uncertain.Comparing the computed results,it is discovered that they are consistent and dependable because of their preferred properties.
基金supported by the National Natural Science Foundation of China,Nos.82171429,81771384a grant from Wuxi Municipal Health Commission,No.1286010241190480(all to YS)。
文摘Interferon regulatory factor 7 plays a crucial role in the innate immune response.However,whether interferon regulatory factor 7-mediated signaling contributes to Parkinson's disease remains unknown.Here we report that interferon regulatory factor 7 is markedly up-regulated in a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced mouse model of Parkinson's disease and co-localizes with microglial cells.Both the selective cyclic guanosine monophosphate adenosine monophosphate synthase inhibitor RU.521 and the stimulator of interferon genes inhibitor H151 effectively suppressed interferon regulatory factor 7 activation in BV2 microglia exposed to 1-methyl-4-phenylpyridinium and inhibited transformation of mouse BV2 microglia into the neurotoxic M1 phenotype.In addition,si RNA-mediated knockdown of interferon regulatory factor 7 expression in BV2 microglia reduced the expression of inducible nitric oxide synthase,tumor necrosis factorα,CD16,CD32,and CD86 and increased the expression of the anti-inflammatory markers ARG1 and YM1.Taken together,our findings indicate that the cyclic guanosine monophosphate adenosine monophosphate synthase-stimulator of interferon genes-interferon regulatory factor 7 pathway plays a crucial role in the pathogenesis of Parkinson's disease.
文摘Ibrutinib,a targeted therapy for B-cell malignancies,has shown remarkable efficacy in treating various hematologic cancers.However,its clinical use has raised concerns regarding cardiovascular complications,notably atrial fibrillation(AF).This comprehensive review critically evaluates the association between ibrutinib and AF by examining incidence,risk factors,mechanistic links,and management strategies.Through an extensive analysis of original research articles,this review elucidates the complex interplay between ibrutinib’s therapeutic benefits and cardiovascular risks.Moreover,it highlights the need for personalized treatment approaches,vigilant monitoring,and interdisciplinary collaboration to optimize patient outcomes and safety in the context of ibrutinib therapy.The review provides a valuable resource for healthcare professionals aiming to navigate the intricacies of ibrutinib’s therapeutic landscape while prioritizing patient well-being.
文摘As a vital infrastructure initiative with significant impacts on national development and public welfare,water conservancy projects play an essential role in advancing agricultural development and mitigating losses caused by flooding.However,these projects often require substantial investments and extended construction periods,leading to the inevitable emergence of various financial risks during implementation.This paper aims to explore the current challenges in financial risk management of the S water conservancy project,offering practical management strategies and solutions to address these financial difficulties.Through a detailed assessment and analysis of the S water conservancy project,the study seeks to provide valuable references and insights for similar projects to better manage financial risks,ensuring their smooth progression and successful completion.The proposed control measures are designed not only to effectively mitigate the financial risks specific to the S water conservancy project but also to offer actionable lessons for other similar projects.By promoting and applying these measures,the overall financial management capabilities of the industry can be enhanced,providing robust support for the sustainable development of water conservancy projects.
文摘The electric power industry is undergoing profound transformations driven by big data,posing challenges to the traditional power grid marketing management model.These challenges include neglecting market demands,insufficient data support,and inadequate customer service.The application of big data technology offers innovative solutions for power grid marketing management,encompassing critical aspects such as data collection and integration,storage management,analysis,and mining.By leveraging these technologies,power grid enterprises can precisely understand customer needs,optimize marketing strategies,and enhance operational efficiency.This paper explores strategies for power grid marketing management based on big data,addressing areas such as customer segmentation and personalized services,as well as market demand forecasting and response.Furthermore,it proposes implementation pathways,including essential elements such as organizational structure and team building,data quality and governance systems,training,and cultural development.These efforts aim to ensure the effective application of big data technology and maximize its value.
