Effectiveness of cardioneuroablation in different subtypes of vasovagal syncope

BACKGROUND Cardioneuroablation(CNA)has shown encouraging results in patients with vasovagal syncope(VVS).However,data on different subtypes was scarce.METHODS This observational study retrospectively enrolled 141 patients[mean age:40±18 years,51 males(36.2%)]with the diagnosis of VVS.The characteristics among different types of VVS and the outcomes after CNA were analyzed.RESULTS After a mean follow-up of 4.3±1.5 years,41 patients(29.1%)experienced syncope/pre-syncope events after CNA.Syncope/pre-syncope recurrence significantly differed in each subtype(P=0.04).The cardioinhibitory type of VVS had the lowest recurrence rate after the procedure(n=6,16.7%),followed by mixed(n=26,30.6%)and vasodepressive(n=9,45.0%).Additionally,a significant difference was observed in the analyses of the Kaplan-Meier survival curve(P=0.02).Syncope/pre-syncope burden was significantly reduced after CNA in the vasodepressive type(P<0.01).Vasodepressive types with recurrent syncope/pre-syncope after CNA have a lower baseline deceleration capacity(DC)level than those without(7.4±1.0 ms vs.9.0±1.6 ms,P=0.01).Patients with DC<8.4 ms had an 8.1(HR=8.1,95%CI:2.2-30.0,P=0.02)times risk of syncope/pre-syncope recurrence after CNA compared to patients with DC≥8.4 ms,and this association still existed after adjusting for age and sex(HR=8.1,95%CI:2.2-30.1,P=0.02).CONCLUSIONS Different subtypes exhibit different event-free rates.The vasodepressive type exhibited the lowest event-free rate,but those patients with DC≥8.4 ms might benefit from CNA.

Stability and variability of molecular subtypes:comparative analysis of primary and metastatic triple-negative breast cancer

Objective:Triple-negative breast cancer(TNBC)is a heterogeneous and aggressive cancer.Although our previous study classified primary TNBC into four subtypes,comprehensive longitudinal investigations are lacking.Methods:We assembled a large-scale,real-world cohort comprised of 880 TNBC patients[465 early-stage TNBC(eTNBC)and 415 metastatic TNBC(mTNBC)patients]who were treated at Fudan University Shanghai Cancer Center.The longitudinal dynamics of TNBC subtypes during disease progression were elucidated in this patient cohort.Comprehensive analysis was performed to compare primary and metastatic lesions within specific TNBC subtypes.Results:The recurrence and metastasis rates within 3 years after initial diagnosis in the eTNBC cohort were 10.1%(47/465).The median overall survival(OS)in the mTNBC cohort was 27.2 months[95%confidence interval(CI),24.4–30.2 months],which indicated a poor prognosis.The prognostic significance of the original molecular subtypes in both eTNBC and mTNBC patients was confirmed.Consistent molecular subtypes were maintained in 77.5%of the patients throughout disease progression with the mesenchymal-like(MES)subtype demonstrating a tendency for subtype transition and brain metastasis.Additionally,a precision treatment strategy based on the metastatic MES subtype of target lesions resulted in improved progression-free survival in the FUTURE trial.Conclusions:Our longitudinal study comprehensively revealed the clinical characteristics and survival of patients with the original TNBC subtypes and validated the consistency of most molecular subtypes throughout disease progression.However,we emphasize the major importance of repeat pathologic confirmation of the MES subtype.

Single-cell transcriptomic profiling reveals ZEB1-mediated regulation in microglial subtypes and the impact of exercise on neuroinflammatory responses

Background:This study aims to identify distinct cellular subtypes within brain tissue using single-cell transcriptomic analysis,focusing on specific biomarkers that differentiate cell types and the effects of traditional and exercise therapy.Methods:Four samples were analyzed:older control(OC),older exercise(OE),younger control(YC),and younger exercise(YE).Single-cell RNA sequencing was used to distinguish cellular subtypes through their biomarker profiles.Data visualization included violin and t-SNE plots to illustrate biomarker expression across cell clusters such as oligodendrocytes,microglia,and astrocytes.Additionally,BV2 cells were exposed to amyloid-beta fragments to simulate Alzheimer’s disease,assessing the impact of exercise-induced cellular responses.Results:Distinct cellular subtypes were identified:oligodendrocytes(MBP,St18),microglia(Dock8),and astrocytes(Aqp4,Gpc5).Sample OE was predominantly oligodendrocytes,while YE had more astrocytes,inhibitory neurons,and Canal-Retzius cells.YC showed a significant presence of Olfm3+ganglion neurons.ZEB1 gene knockout revealed changes in SMAD family gene expression,which regulate ferroptosis.Oxidative stress levels were also evaluated.Conclusion:This profiling enhances our understanding of brain cellular functions and interactions,potentially informing targeted therapies in neurological research.Exercise may influence brain cell immune responses and cell death pathways by regulating specific gene expressions,offering new insights for treating neuroinflammation and degeneration.

Identification of prognostic molecular subtypes and model based on CD8+ T cells for lung adenocarcinoma

Background:Cytotoxic T lymphocytes(CD8+T)cells function critically in mediating anti-tumor immune response in cancer patients.Characterizing the specific functions of CD8+T cells in lung adenocarcinoma(LUAD)could help better understand local anti-tumor immune responses and estimate the effect of immunotherapy.Methods:Gens related to CD8+T cells were identified by cluster analysis based on the single-cell sequencing data of three LUAD tissues and their paired normal tissues.Weighted gene co-expression network analysis(WGCNA),consensus clustering,differential expression analysis,least absolute shrinkage and selection operator(LASSO)and Cox regression analysis were conducted to classify molecular subtypes for LUAD and to develop a risk model using prognostic genes related to CD8+T cells.Expression of the genes in the prognostic model,their effects on tumor cell invasion,and interactions with CD8+T cells were verified by cell experiments.Results:This study defined two LUAD clusters(CD8+0 and CD8+1)based on CD8+T cells,with cluster CD8+0 being significantly associated with the prognosis of LUAD.Three heterogeneous subtypes(clusters 1,2,and 3)differing in prognosis,genome mutation events,and immune status were categorized using 42 prognostic genes.A prognostic model created based on 11 significant genes(including CD200R1,CLEC17A,ZC3H12D,GNG7,SNX30,CDCP1,NEIL3,IGF2BP1,RHOV,ABCC2,and KRT81)was able to independently estimate the death risk for patients in different LUAD cohorts.Moreover,the model also showed general applicability in external validation cohorts.Low-risk patients could benefit more from taking immunotherapy and were significantly related to the resistance to anticancer drugs.The results from cell experiments demonstrated that the expression of CD200R1,CLEC17A,ZC3H12D,GNG7,and SNX30 was significantly downregulated,while that of CDCP1,NEIL3,IGF2BP1,RHOV,ABCC2 and KRT81 was upregulated in LUAD cells.Inhibition of CD200R1 greatly increased the invasiveness of the LUAD cells,but inhibiting CDCP1 expression weakened the invasion ability of LUAD cells.Conclusion:This study defined two prognostic CD8+T cell clusters and classified three heterogeneous molecular subtypes for LUAD.A prognostic model predictive of the potential effects of immunotherapy on LUAD patients was developed.

Epidemiological and Subtype Characterization of Influenza Viruses Infection in Children in Shenzhen, China during Three Consecutive Seasons (January 2016-December 2018)

Background: Children with seasonal influenza infection cause a significant burden of disease each year in the pediatric clinic. Influenza A and B viruses are the major types responsible for illness. A better understanding of the periodicity facilitates the prevention and control of influenza in children. Objective: This study aims to analyze the epidemiological patterns and subtype characterization of influenza viruses among children in Shenzhen, China. Methods: Influenza samples were collected by nasopharyngeal swabs from influenza like illness patients in Shenzhen Children’s Hospital from January 2016 to December 2018. The positive cases and influenza subtypes were determined by gold labeled antigen detection and reverse transcriptase polymerase chain reaction. The influenza periodicity and age, subtype distribution as well as the association between climate parameters and different influenza subtypes were analyzed by SPSS 22.0. Results: The influenza positive rate during 2016-2018 was 21.0%, with a highest positive rate in the year 2018. The positive rate varied by month, season, and year describing a sequence of peaks presenting primarily in all year including spring, summer and winter. The characteristics of influenza peak were different in each year, with a spring peak in 2016 and a summer plus a winter-spring peaks in 2017 and 2018. In addition, influenza B exhibited a winter-spring seasonal pattern while influenza A displayed a more variable seasonality, highlighting influenza B rather than influenza A which had a negative association with climate parameters. Influenza-positive cases were older than influenza-negative cases (P P Conclusion: Influenza activity in children from Shenzhen typically displays both winter-spring and summer peaks. Influenza A epidemic occurred separately or co-circulated with influenza B, with a winter-spring pattern for influenza B and a much more variable seasonality for influenza A. Influenza B had a negative association with climate parameters. In addition, hospitalization with influenza often occurs in younger individuals infected with influenza A.

Histologic subtypes of non-muscle invasive bladder cancer

The majority of bladder cancers(BCs)are non-muscle invasive BCs(NMIBCs)and show the morphology of a conventional urothelial carcinoma(UC).Aberrant morphology is rare but can be observed.The classification and characterization of histologic subtypes(HS)in UC in BC have mainly been described in muscle in-vasive bladder cancer(MIBC).However,the currently used classification is ap-plied for invasive urothelial neoplasm and therefore,also valid for a subset of NMIBC.The standard transurethral diagnostic work-up misses the presence of HS in NMIBC in a considerable percentage of patients and the real prevalence is not known.HS in NMIBC are associated with an aggressive phenotype.Conse-quently,clinical guidelines categorize HS of NMIBC as“(very)high-risk”tumors and recommend offering radical cystectomy to these patients.Alternative strategies for bladder preservation can only be offered to highly selected patients and ideally within clinical trials.Novel treatment strategies and biomarkers have been established MIBC and NMIBC but have not been comprehensively invest-igated in the context of HS in NMIBC.Further evaluation prior to implementation into clinical practice is needed.

The prognostic role of circulating tumor DNA across breast cancer molecular subtypes:A systematic review and meta-analysis

Objective:Circulating tumor DNA(ctDNA)is increasingly being used as a potential prognostic biomarker in cancer patients.We aimed to assess the prognostic value of ctDNA in different subtypes of breast cancer patients throughout the whole treatment cycle.Materials and methods:PubMed,Web of Science,Embase,Cochrane Library,Scopus,and clinical trials.gov databases were searched from January 2016 to May 2022.The following search terms were used:ctDNA OR circulating tumor DNA AND breast cancer OR breast carcinoma.Only studies written in English were included.The following pre-specified criteria should be met for inclusion:(i)original articles,conference abstracts,etc.;(ii)patients with breast cancer;(iii)ctDNA measurement;and(iv)clinical outcome data such as recurrence-free survival(RFS)and overall survival(OS).The random-effects model was preferred considering the potential het-erogeneity across studies.The main outcomes are ctDNA detection rate and postoperative long-term outcomes(RFS and OS).Results:A total of 24 studies were screened.At every measurement time,the ctDNA detection rate of the HR+subgroup was similar to that of the HR-subgroup(P=0.075;P=0.458;P=0.744;and P=0.578),and the ctDNA detection rate of the HER2+subgroup was similar to that of the HER2-subgroup(P=0.805;P=0.271;P=0.807;and P=0.703).In the HR+subgroup,RFS and OS of ctDNA positive patients were similar to those of ctDNA negative patients(P=0.589 and P=0.110),while RFS and OS of the ctDNA positive group was significantly shorter than those of the ctDNA negative patients in the HR-subgroup(HR=4.03,P<0.001;HR=3.21,P<0.001).According to HER grouping,the results were the same as above.In the triple negative breast cancer(TNBC)subgroup,the RFS and OS of ctDNA-positive patients was significantly shorter than of the ctDNA negative patients before and after surgery.Conclusions:ctDNA was more predictive of recurrence-free survival and overall survival in the HR-subgroup than in the HR+subgroup,and the same result was showed in the HER2-subgroup vs.HER2+subgroup.The prognosis of the TNBC subtype is closely related to ctDNA before and after surgery.

Identification of tumor antigens and immune subtypes of hepatocellular carcinoma for mRNA vaccine development

BACKGROUND mRNA vaccines have been investigated in multiple tumors,but limited studies have been conducted on their use for hepatocellular carcinoma(HCC).AIM To identify candidate mRNA vaccine antigens for HCC and suitable subpopu-lations for mRNA vaccination.METHODS Gene expression profiles and clinical information of HCC datasets were obtained from International Cancer Genome Consortium and The Cancer Genome Atlas.Genes with somatic mutations and copy number variations were identified by cBioPortal analysis.The differentially expressed genes with significant prognostic value were identified by Gene Expression Profiling Interactive Analysis 2 website analysis.The Tumor Immune Estimation Resource database was used to assess the correlation between candidate antigens and the abundance of antigen-presenting cells(APCs).Tumor-associated antigens were overexpressed in tumors and associated with prognosis,genomic alterations,and APC infiltration.A consensus cluster analysis was performed with the Consensus Cluster Plus package to identify the immune subtypes.The weighted gene coexpression network analysis(WGCNA)was used to determine the candidate biomarker molecules for appropriate populations for mRNA vaccines.immune subtypes showed distinct cellular and clinical characteristics.The IS1 and IS3 immune subtypes were immunologically“cold”.The IS2 and IS4 immune subtypes were immunologically“hot”,and the immune checkpoint genes and immunogenic cell death genes were upregulated in these subtypes.IS1-related modules were identified with the WGCNA algorithm.Ultimately,five hub genes(RBP4,KNG1,METTL7A,F12,and ABAT)were identified,and they might be potential biomarkers for mRNA vaccines.CONCLUSION AURKA,CCNB1,CDC25C,CDK1,TRIP13,PES1,MCM3,PPM1G,NEK2,KIF2C,PTTG1,KPNA2,and PRC1 have been identified as candidate HCC antigens for mRNA vaccine development.The IS1 and IS3 immune subtypes are suitable populations for mRNA vaccination.RBP4,KNG1,METTL7A,F12,and ABAT are potential biomarkers for mRNA vaccines.

Blood typing and transfusion therapy in a patient with A2 subtype acute myeloid leukemia M2:A case report

BACKGROUND Acute myeloid leukemia(AML)is one of the most common types of leukemia in adults.However,AML is relatively rare in the population overall,accounting for only about 1 percent of all cancers.Treatment for AML can be very effective for some patients,yet it leaves others with serious and even life-threatening side effects.Chemotherapy is still the primary treatment for most AML,but over time,leukemia cells become resistant to chemotherapy drugs.In addition,stem cell transplantation,targeted therapy,and immunotherapy are currently available.At the same time,with the progression of the disease,the patient may have corresponding complications,such as coagulation dysfunction,anemia,granulocytopenia,and repeated infection,so transfusion supportive therapy will be involved in the overall treatment regime.To date,few articles have reported on blood transfusion treatment options for patients with ABO subtypes AML-M2.Blood transfusion therapy is an important supportive treatment for AML-M2,and accurate determination of patients'blood type is one of the most important steps in the treatment process.In this study,we explored blood typing and supportive treatment strategies for a patient with A2 subtype AML-M2 to provide the basis for treatment for all patients.CASE SUMMARY In order to determine the blood type of the patient,serological and molecular biological methods were used for reference tests,and the genetic background was studied to determine the patient's final blood type and select the appropriate blood products for infusion treatment.According to the results obtained by serological and molecular biological methods,the blood type of the patient was A2 subtype;the genotype was A02/001;the irregular antibody screening was negative,and anti-A1 was found in the plasma.According to the overall treatment plan,active anti-infection,elevated cells,component blood transfusion support,and other rescue and supportive treatments were given,and the patient successfully passed the stage of myelosuppression after chemotherapy.Re-examination of bone marrow smears showed that AL was in complete remission of bone marrow signs,and minimal residual leukemia lesions suggested no cells with obvious abnormal immunophenotype(residual leukemia cells<10-4).CONCLUSION The infusion of patients with A2 subtype AML-M2 with A irradiated platelets and O washing red blood cells can meet the needs of clinical treatment.

HIV-1 Subtype Diversity and Factors Affecting Drug Resistance among Patients with Virologic Failure in Antiretroviral Therapy in Hainan Province,China,2014–2020

Objective This study aimed to determine the HIV-1 subtype distribution and HIV drug resistance(HIVDR)in patients with ART failure from 2014 to 2020 in Hainan,China.Methods A 7-year cross-sectional study was conducted among HIV/AIDS patients with ART failure in Hainan.We used online subtyping tools and the maximum likelihood phylogenetic tree to confirm the HIV subtypes with pol sequences.Drug resistance mutations(DRMs)were analyzed using the Stanford University HIV Drug Resistance Database.Results A total of 307 HIV-infected patients with ART failure were included,and 241 available pol sequences were obtained.Among 241 patients,CRF01_AE accounted for 68.88%,followed by CRF07_BC(17.00%)and eight other subtypes(14.12%).The overall prevalence of HIVDR was 61.41%,and the HIVDR against non-nucleoside reverse transcriptase inhibitors(NNRTIs),nucleotide reverse transcriptase inhibitors(NRTIs),and protease inhibitors(PIs)were 59.75%,45.64%,and 2.49%,respectively.Unemployed patients,hypoimmunity or opportunistic infections in individuals,and samples from 2017 to 2020 increased the odd ratios of HIVDR.Also,HIVDR was less likely to affect female patients.The common DRMs to NNRTIs were K103N(21.99%)and Y181C(20.33%),and M184V(28.21%)and K65R(19.09%)were the main DRMs against NRTIs.Conclusion The present study highlights the HIV-1 subtype diversity in Hainan and the importance of HIVDR surveillance over a long period.

Rare synchronous colorectal carcinoma with three pathological subtypes: A case report and review of the literature

BACKGROUND Synchronous colorectal carcinomas(SCRC)are two or more primary colorectal carcinomas identified simultaneously or within 6 mo of the initial presentation in a single patient.Their incidence is low and the number of pathological types of SCRC is usually no more than two.It is very unusual that the pathological findings of a patient with SCRC show more than two different pathological subtypes.Here,we report a rare case of SCRC with three pathological subtypes.CASE SUMMARY A 75-year-old woman who had no previous medical history or family history was admitted to the hospital because of intermittent hematochezia for more than a month.Colonoscopy displayed an irregularly shaped neoplasm of the rectum,a tumor-like lesion causing intestinal stenosis in the descending colon,and a polypoidal neoplasm in the ileocecum.Subsequently,she underwent total colectomy,abdominoperineal resection for rectal cancer,and ileostomy.After operation,the pathological report showed three pathological subtypes including well-differentiated adenocarcinoma of the ascending colon,moderately differen-tiated adenocarcinoma of the descending colon,and mucinous adenocarcinoma of the rectum.She is now recovering well and continues to be closely monitored during follow-up.CONCLUSION Preoperative colonoscopy examination,imaging examination,and extensive intraoperative exploration play important roles in reducing the number of missed lesions.

Classification of patients with metastatic colorectal cancer into consensus molecular subtypes into real-world: A pilot study

BACKGROUND Colorectal cancer is a complex disease with high mortality rates.Over time,the treatment of metastatic colorectal cancer(mCRC)has gradually improved due to the development of modern chemotherapy and targeted therapy regimens.However,due to the inherent heterogeneity of this condition,identifying reliable predictive biomarkers for targeted therapies remains challenging.A recent promising classification system—the consensus molecular subtype(CMS)system—offers the potential to categorize mCRC patients based on their unique biological and molecular characteristics.Four distinct CMS categories have been defined:immune(CMS1),canonical(CMS2),metabolic(CMS3),and mesenchymal(CMS4).Nevertheless,there is currently no standardized protocol for accurately classifying patients into CMS categories.To address this challenge,reverse transcription polymerase chain reaction(RT-qPCR)and next-generation genomic sequencing(NGS)techniques may hold promise for precisely classifying mCRC patients into their CMSs.AIM To investigate if mCRC patients can be classified into CMS categories using a standardized molecular biology workflow.METHODS This observational study was conducted at the University of Chile Clinical Hospital and included patients with unresectable mCRC who were undergoing systemic treatment with chemotherapy and/or targeted therapy.Molecular biology techniques were employed to analyse primary tumour samples from these patients.RT-qPCR was utilized to assess the expression of genes associated with fibrosis(TGF-βandβ-catenin)and cell growth pathways(c-MYC).NGS using a 25-gene panel(TumorSec)was performed to identify specific genomic mutations.The patients were then classified into one of the four CMS categories according to the clinical consensus of a Tumour Board.Informed consent was obtained from all the patients prior to their participation in this study.All techniques were conducted at University of Chile.RESULTS Twenty-six patients were studied with the techniques and then evaluated by the Tumour Board to determine the specific CMS.Among them,23%(n=6),19%(n=5),31%(n=8),and 19%(n=5)were classified as CMS1,CMS2,CMS3,and CMS4,respectively.Additionally,8%of patients(n=2)could not be classified into any of the four CMS categories.The median overall survival of the total sample was 28 mo,and for CMS1,CMS2,CMS3 and CMS4 it was 11,20,30 and 45 mo respectively,with no statistically significant differences between groups.CONCLUSION A molecular biology workflow and clinical consensus analysis can be used to accurately classify mCRC patients.This classification process,which divides patients into the four CMS categories,holds significant potential for improving research strategies and targeted therapies tailored to the specific characteristics of mCRC.

Chain Elongation Using Native Soil Inocula:Exceptional n-Caproate Biosynthesis Performance and Microbial Mechanisms

This study demonstrates the feasibility and effectiveness of utilizing native soils as a resource for inocula to produce n-caproate through the chain elongation(CE)platform,offering new insights into anaerobic soil processes.The results reveal that all five of the tested soil types exhibit CE activity when supplied with high concentrations of ethanol and acetate,highlighting the suitability of soil as an ideal source for n-caproate production.Compared with anaerobic sludge and pit mud,the native soil CE system exhibited higher selectivity(60.53%),specificity(82.32%),carbon distribution(60.00%),electron transfer efficiency(165.00%),and conductivity(0.59 ms∙cm^(-1)).Kinetic analysis further confirmed the superiority of soil in terms of a shorter lag time and higher yield.A microbial community analysis indicated a positive correlation between the relative abundances of Pseudomonas,Azotobacter,and Clostridium and n-caproate production.Moreover,metagenomics analysis revealed a higher abundance of functional genes in key microbial species,providing direct insights into the pathways involved in n-caproate formation,including in situ CO_(2)utilization,ethanol oxidation,fatty acid biosynthesis(FAB),and reverse beta-oxidation(RBO).The numerous functions in FAB and RBO are primarily associated with Pseudomonas,Clostridium,Rhodococcus,Stenotrophomonas,and Geobacter,suggesting that these genera may play roles that are involved or associated with the CE process.Overall,this innovative inoculation strategy offers an efficient microbial source for n-caproate production,underscoring the importance of considering CE activity in anaerobic soil microbial ecology and holding potential for significant economic and environmental benefits through soil consortia exploration.

Research on Alliance Decision of Dual-Channel Remanufacturing Supply Chain Considering Bidirectional Free-Riding and Cost-Sharing

This study delves into the formation dynamics of alliances within a closed-loop supply chain(CLSC)that encom-passes a manufacturer,a retailer,and an e-commerce platform.It leverages Stackelberg game for this exploration,contrasting the equilibrium outcomes of a non-alliance model with those of three differentiated alliance models.The non-alliance model acts as a crucial benchmark,enabling the evaluation of the motivations for various supply chain entities to engage in alliance formations.Our analysis is centered on identifying the most effective alliance strategies and establishing a coordination within these partnerships.We thoroughly investigate the consequences of diverse alliance behaviors,bidirectional free-riding and cost-sharing,and the resultant effects on the optimal decision-making among supply chain actors.The findings underscore several pivotal insights:(1)The behavior of alliances within the supply chain exerts variable impacts on the optimal pricing and demand of its members.In comparison to the non-alliance(D)model,the manufacturer-retailer(MR)and manufacturer-e-commerce platform(ME)alliances significantly lower both offline and online resale prices for new and remanufactured goods.This adjustment leads to an enhanced demand for products via the MR alliance’s offline outlets and the ME alliance’s online platforms,thereby augmenting the profits for those within the alliance.Conversely,retailer-e-commerce platform(ER)alliance tends to increase the optimal retail price and demand across both online and offline channels.Under specific conditions,alliance behavior can also increase the profits of non-alliance members,and the profits derived through alliance channels also exceed those from non-alliance channels.(2)The prevalence of bidirectional free-riding behavior largely remains constant across different alliance configurations.Across these models,bidirectional free-riding typically elevates the equilibrium prices in offline channel while negatively affecting the equilibrium prices in other channel.(3)The effect of cost-sharing shows relative uniformity across the various alliance models.Across all configurations,cost-sharing tends to reduce the manufacturer’s profits.Nonetheless,alliances initiated by the manufacturer can counteract these negative impacts,providing a strategic pathway to bolster CLSC profitability.

Mathematical Modeling of Possibility Markov Chains by Possibility Theory

Statistical regression models are input-oriented estimation models that account for observation errors. On the other hand, an output-oriented possibility regression model that accounts for system fluctuations is proposed. Furthermore, the possibility Markov chain is proposed, which has a disidentifiable state (posterior) and a nondiscriminable state (prior). In this paper, we first take up the entity efficiency evaluation problem as a case study of the posterior non-discriminable production possibility region and mention Fuzzy DEA with fuzzy constraints. Next, the case study of the ex-ante non-discriminable event setting is discussed. Finally, we introduce the measure of the fuzzy number and the equality relation and attempt to model the possibility Markov chain mathematically. Furthermore, we show that under ergodic conditions, the direct sum state can be decomposed and reintegrated using fuzzy OR logic. We had already constructed the Possibility Markov process based on the indifferent state of this world. In this paper, we try to extend it to the indifferent event in another world. It should be noted that we can obtain the possibility transfer matrix by full use of possibility theory.

Supply Chain Management Analysis and Design for a Variety of Economic Scenarios, Including Data and System Administration

Due to the rapid progress of information technology, organizations anticipate significant changes in the planning, scheduling, and optimization aspects of operation and supply chain management (SCM) shortly. Two primary types of risk have an impact on supply chain management and design. The first group deals with the difficulties in matching supply and demand, whereas the second group deals with disruptions to regular business operations. The essay offers a theoretical framework that combines the cooperative efforts of risk assessment and mitigation, which are critical for effectively handling potential supply chain interruptions. This content provides insightful viewpoints on the strategic resources and operational structure needed to improve organizational success. We utilized the partial least squares (PLS) method to address the problem of multicollinearity and measurement mistakes in examining cause-and-effect constructs. The statistical method, Least Squares (PLS), used in structural equation modeling, is based on partial variance. The Partial Least Squares (PLS) strategy uses a two-stage estimate procedure to calculate weights, loadings, and route estimations. Initially, several simple and complex regressions were performed with the provided model. The procedure was repeated until a solution was found, resulting in a set of weights used to determine the latent variable scores. In the second step, non-iterative PLS regression yields loadings, path coefficients, mean scores, and location parameters. According to the structural study, implementing Sustainable Supply Chain Management (SSCM) can significantly improve a business’s operational and financial performance. The findings offer a comprehensive understanding of several elements of supply chain management (SSCM), including information systems, organizational configurations, supply chain network architecture (SCND), and supply chain strategy (SCS). The supply chain is essential for effectively moving goods over great distances and encouraging cooperation between parties. Therefore, these connections are established precisely, quickly, and cheaply via a knowledgeable and efficient supply chain. Two key components are necessary for a supply chain (SC) to be successful: efficient collaboration and the smooth integration of information-sharing platforms.

A Tutorial Review of the Solar Power Curve: Regressions, Model Chains, and Their Hybridization and Probabilistic Extensions

Owing to the persisting hype in pushing toward global carbon neutrality,the study scope of atmospheric science is rapidly expanding.Among numerous trending topics,energy meteorology has been attracting the most attention hitherto.One essential skill of solar energy meteorologists is solar power curve modeling,which seeks to map irradiance and auxiliary weather variables to solar power,by statistical and/or physical means.In this regard,this tutorial review aims to deliver a complete overview of those fundamental scientific and engineering principles pertaining to the solar power curve.Solar power curves can be modeled in two primary ways,one of regression and the other of model chain.Both classes of modeling approaches,alongside their hybridization and probabilistic extensions,which allow accuracy improvement and uncertainty quantification,are scrutinized and contrasted thoroughly in this review.

Durable poly(binaphthyl-co-p-terphenyl piperidinium)-based anion exchange membranes with dual side chains

Building well-developed ion-conductive highways is highly desirable for anion exchange membranes(AEMs).Grafting side chain is a highly effective approach for constructing a well-defined phaseseparated morphological structure and forming unblocked ion pathways in AEMs for fast ion transport.Fluorination of side chains can further enhance phase separation due to the superhydrophobic nature of fluorine groups.However,their electronic effect on the alkaline stability of side chains and membranes is rarely reported.Here,fluorine-containing and fluorine-free side chains are introduced into the polyaromatic backbone in proper configuration to investigate the impact of the fluorine terminal group on the stability of the side chains and membrane properties.The poly(binaphthyl-co-p-terphenyl piperidinium)AEM(QBNp TP)has the highest molecular weight and most dimensional stability due to its favorable backbone arrangement among ortho-and meta-terphenyl based AEMs.Importantly,by introducing both a fluorinated piperidinium side chain and a hexane chain into the p-terphenyl-based backbone,the prepared AEM(QBNp TP-QFC)presents an enhanced conductivity(150.6 m S cm^(-1))and a constrained swelling at 80℃.The electronic effect of fluorinated side chains is contemplated by experiments and simulations.The results demonstrate that the presence of strong electro-withdrawing fluorine groups weakens the electronic cloud of adjacent C atoms,increasing OH^(-)attack on the C atom and improving the stability of piperidinium cations.Hence QBNp TP-QFC possesses a robust alkaline stability at 80℃(95.3%conductivity retention after testing in 2 M Na OH for 2160 h).An excellent peak power density of 1.44 W cm^(-2)and a remarkable durability at 80℃(4.5%voltage loss after 100 h)can be observed.

Global Industrial and Supply Chain Restructuring:Background,Characteristics and Development Trends

The restructuring of global industrial and supply chains is a hot issue in today’s world,and as a result of the once-in-a-century changes and intensified geopolitical and economic competition,the demand for global industrial and supply chain security has risen sharply,with government departments and transnational corporations(TNCs)becoming the most critical stakeholders.Governments carefully calibrate industrial and trade policies from the perspective of national strategies to create industrial chains that support national competitive advantages,and multinational corporations respond to geopolitical risks by prioritizing industrial and supply chain security and sustainability over capital and efficiency.Against the backdrop of changes unseen in a century,decelerating globalization and global economic downturn,the characteristics and future trends of global industrial and supply chain restructuring are worth paying attention to.

Supply Chain Cooperation between China and ASEAN:A Top-Down Approach

The significant relocation of supply chains from China to ASEAN countries did not start with the pandemic.China has been steadily increasing its investment in ASEAN's low valueadded manufacturing sector due to the region's comparative advantage in labor costs.In recent years,changing geopolitics and the restructuring of regional economies in the Asia-Pacific region have accelerated this relocation.