When micro/nano-scale gradient coatings are subject to large thermal gradients or high heat fluxes,the spatial size effect cannot be ignored.It is important to understand how the size effect influences the thermal fra...When micro/nano-scale gradient coatings are subject to large thermal gradients or high heat fluxes,the spatial size effect cannot be ignored.It is important to understand how the size effect influences the thermal fracture behavior of functionally graded coating/substrate structures.This study aims at analyzing the transient thermal fracture behavior of collinear interface cracks in functionally graded coating/substrate structures based on the nonlocal dual-phase-lag heat conduction model.By means of integral transform techniques,the mixed boundary problem is transformed into a set of singular integral equations,which are solved by the Chebyshev polynomials.The effects of the nonlocal parameter,coating thickness,crack spacing,and non-homogeneous parameters on the temperature and stress intensity factors(SIFs)are examined.The numerical results show that these parameters play an essential role in controlling the thermal fracture behavior of the structures,especially at micro/nano-scales.展开更多
For environmental applications,it is crucial to rationally design and synthesize photocatalysts with positive exciton splitting and interfacial charge transfer.Here,a novel Agbridged dual Z-scheme Ag/g-C_(3)N_(4)/CoNi...For environmental applications,it is crucial to rationally design and synthesize photocatalysts with positive exciton splitting and interfacial charge transfer.Here,a novel Agbridged dual Z-scheme Ag/g-C_(3)N_(4)/CoNi-LDH plasmonic heterojunction was successfully synthesized using a simple method,with the goal of overcoming the common drawbacks of traditional photocatalysts such as weak photoresponsivity,rapid combination of photogenerated carriers,and unstable structure.These materials were characterized by XRD,FT-IR,SEM,TEM UV-Vis/DRS,and XPS to verify the structure and stability of the heterostructure.The pristine LDH,g-C_(3)N_(4),and Ag/g-C_(3)N_(4)/CoNi-LDH composite were investigated as photocatalysts for water remediation,an environmentally motivated process.Specifically,the photocatalytic degradation of tetracycline was studied as a model reaction.The performance of the supports and composite catalyst were determined by evaluating both the degradation and adsorption phenomenon.The influence of several experimental parameters such as catalyst loading,pH,and tetracycline concentrationwere evaluated.The current study provides important data for water treatment and similar environmental protection applications.展开更多
<strong>Introduction:</strong> Chronic renal failure (CRF) is defined as glomerular filtration rate (GFR) less than 60 ml/min/1.73m<sup>2</sup> for at least three (3) months. Anemia is one of i...<strong>Introduction:</strong> Chronic renal failure (CRF) is defined as glomerular filtration rate (GFR) less than 60 ml/min/1.73m<sup>2</sup> for at least three (3) months. Anemia is one of its most common complications. Anemia increases the risk factor for cardiovascular mortality by 18% per gram of hemoglobin loss. <strong>Objectives:</strong> To determine the prevalence and characteristics of this severe anemia, to determine the indications for transfusion, the complications related to this anemia, the evolution and the prognosis of these patients. <strong>Materials and Methods:</strong> This was a descriptive study with retrospective data collection over 18 months (January 1, 2017 to June 30, 2018) that included hospitalized CRF patients. Were included, non-dialyzed chronic renal failure patients with Hb ≤ 5 g/dl hospitalized during the said period. Not included were chronic renal failure patients with an Hb level ≥ 5 g/dl, those followed up and/or hospitalized outside the study period. <strong>Results:</strong> Among 1176 patients, 26 had severe anemia (Hb level ≤ 5 g/dl) on CRF, a prevalence of 2.21%. The mean age was 40 years ± 32.62 with extremes of 15 and 67 years. Seventeen women and 9 men. The etiology of chronic renal failure (CRF) was hypertensive vascular nephropathy in 50% of cases. CRF was end-stage in 18 patients (69.2%). The mean hemoglobin level was 4.10 g/dl ± 0.64 with extremes of 2 and 5 g/dl. The anemia was microcytic hypochromic in 50% and aregenerative (96.2%). The main symptoms were asthenia in 20 cases (76.9%), dizziness in 20 cases (76.9%), exertional dyspnea in 19 cases (73.1%). Signs of cardiac decompensation (n = 12) were jugular turgor 10 cases (38.5%), hepato-jugular reflux 06 cases (23.1%), mitral insufficiency murmur 06 cases (23.1%). The main complication was left ventricular hypertrophy 17 cases (77.3%). There was no correlation between anemia and sex (p = 0.291), age (p = 0.778), malaria (p = 0.158), etiology of CRF (p = 0.26). The evolution after treatment of anemia was favorable in 19 patients (73.1%), unfavorable in 02 patients (7.7%) and 05 deaths (19.2%). The deaths were of cardiovascular cause: left ventricular insufficiency 04 cases, stroke 01 case. <strong>Conclusion:</strong> Anemia is frequent in patients with chronic renal failure and remains an important risk factor for cardiovascular disease and poor general condition.展开更多
With every passing day,the demand for data traffic is increasing,and this urges the research community not only to look for an alternating spectrum for communication but also urges radio frequency planners to use the ...With every passing day,the demand for data traffic is increasing,and this urges the research community not only to look for an alternating spectrum for communication but also urges radio frequency planners to use the existing spectrum efficiently.Cell sizes are shrinking with every upcoming communication generation,which makes base station placement planning even more complex and cumbersome.In order to make the next-generation cost-effective,it is important to design a network in such a way that it utilizes the minimum number of base stations while ensuring seamless coverage and quality of service.This paper aims at the development of a new simulation-based optimization approach using a hybrid metaheuristic and metamodel applied in a novel mathematical formulation of the multi-transmitter placement planning(MTPP)problem.We first develop a new mathematical programming model for MTPP that is flexible to design the locations for any number of transmitters.To solve this constrained optimization problem,we propose a hybrid approach using the radial basis function(RBF)metamodel to assist the particle swarm optimizer(PSO)by mitigating the associated computational burden of the optimization procedure.We evaluate the effectiveness and applicability of the proposed algorithm by simulating the MTPP model with two,three,four and five transmitters and estimating the Pareto front for optimal locations of transmitters.The quantitative results show that almost maximum signal coverage can be obtained with four transmitters;thus,it is not a wise idea to use higher number of transmitters in the model.Furthermore,the limitations and future works are discussed.展开更多
Electrochemical water splitting represents a sustainable technology for hydrogen(H_(2))production.However,its large-scale implementation is hindered by the high overpotentials required for both the cathodic hydrogen e...Electrochemical water splitting represents a sustainable technology for hydrogen(H_(2))production.However,its large-scale implementation is hindered by the high overpotentials required for both the cathodic hydrogen evolution reaction(HER)and the anodic oxygen evolution reaction(OER).Transition metal-based catalysts have garnered significant research interest as promising alternatives to noble-metal catalysts,owing to their low cost,tunable composition,and noble-metal-like catalytic activity.Nevertheless,systematic reviews on their application as bifunctional catalysts for overall water splitting(OWS)are still limited.This review comprehensively outlines the principal categories of bifunctional transition metal electrocatalysts derived from electrospun nanofibers(NFs),including metals,oxides,phosphides,sulfides,and carbides.Key strategies for enhancing their catalytic performance are systematically summarized,such as heterointerface engineering,heteroatom doping,metal-nonmetal-metal bridging architectures,and single-atom site design.Finally,current challenges and future research directions are discussed,aiming to provide insightful perspectives for the rational design of high-performance electrocatalysts for OWS.展开更多
This study addresses the challenge of predicting zinc(Zn)recovery from carbonate ores via sodium hydroxide(NaOH)leaching.This complex process influenced by variable ore composition,surface passivation effects,and nonl...This study addresses the challenge of predicting zinc(Zn)recovery from carbonate ores via sodium hydroxide(NaOH)leaching.This complex process influenced by variable ore composition,surface passivation effects,and nonlinear reaction dynamics,which complicate reagent optimization and process control in hydrometallurgical operations.To tackle this,a dataset containing 422 experimental observations was compiled from previous studies,incorporating ore composition and process parameters,such as NaOH concentration,leaching time,temperature,and solid-to-liquid ratio.Four regression models(decision tree,neural network,generalized additive model,and random forest)were trained and evaluated using performance metrics,such as coefficient of determination(R^(2)),root mean squared error(RMSE),mean absolute error(MAE),mean absolute percentage error(MAPE),and symmetrical mean absolute percentage error(SMAPE).Among these,the random forest model achieved the best predictive accuracy,with R^(2)value of 0.8541 on the test set and the lowest error rates,demonstrating its effectiveness in capturing the complex relationships between input variables and Zn recovery.Explainable artificial intelligence,particularly SHapley additive exPlanations(SHAP)analysis,revealed that NaOH concentration,leaching time,and solid-to-liquid ratio had the most positive influence on Zn recovery,whereas elements such as Ca,Fe,and Pb had inhibitory effects.These findings align with known geochemical behavior and provide valuable insights for reagent optimization and process effi-ciency in leaching processes.This study demonstrates the practical potential of machine learning in mineral processing,offering a scalable framework for optimizing Zn recovery from non-sulfide ores and a data-driven approach to enhance decision-making in hydrometallurgical applications.展开更多
Stroke is the leading cause of mortality globally,ultimately leading to severe,lifelong neurological impairments.Patients often suffer from a secondary cascade of damage,including neuroinflammation,cytotoxicity,oxidat...Stroke is the leading cause of mortality globally,ultimately leading to severe,lifelong neurological impairments.Patients often suffer from a secondary cascade of damage,including neuroinflammation,cytotoxicity,oxidative stress,and mitochondrial dysfunction.Regrettably,there is a paucity of clinically available therapeutics to address these issues.Emerging evidence underscores the pivotal roles of astrocytes,the most abundant glial cells in the brain,throughout the various stages of ischemic stroke.In this comprehensive review,we initially provide an overview of the fundamental physiological functions of astrocytes in the brain,emphasizing their critical role in modulating neuronal homeostasis,synaptic activity,and blood-brain barrier integrity.We then delve into the growing body of evidence that highlights the functional diversity and heterogeneity of astrocytes in the context of ischemic stroke.Their well-established contributions to energy provision,metabolic regulation,and neurotransmitter homeostasis,as well as their emerging roles in mitochondrial recovery,neuroinflammation regulation,and oxidative stress modulation following ischemic injury,are discussed in detail.We also explore the cellular and molecular mechanisms underpinning these functions,with particular emphasis on recently identified targets within astrocytes that offer promising prospects for therapeutic intervention.In the final section of this review,we offer a detailed overview of the current therapeutic strategies targeting astrocytes in the treatment of ischemic stroke.These astrocyte-targeting strategies are categorized into traditional small-molecule drugs,microRNAs(miRNAs),stem cell-based therapies,cellular reprogramming,hydrogels,and extracellular vesicles.By summarizing the current understanding of astrocyte functions and therapeutic targeting approaches,we aim to highlight the critical roles of astrocytes during and after stroke,particularly in the pathophysiological development in ischemic stroke.We also emphasize promising avenues for novel,astrocyte-targeted therapeutics that could become clinically available options,ultimately improving outcomes for patients with stroke.展开更多
In this study,we developed a novel bilayered scaffold consisting of a bottom layer composed of the Decellularized Bovine Pericardium(DP)coated with Polyaniline Nanoparticles(PANINPs)and a top layer made of an electros...In this study,we developed a novel bilayered scaffold consisting of a bottom layer composed of the Decellularized Bovine Pericardium(DP)coated with Polyaniline Nanoparticles(PANINPs)and a top layer made of an electrospun Poly(lactic-co-glycolic acid)/Gelatin(PLGA/Gel)membrane incorporated with Vascular Endothelial Growth Fac-tor(VEGF)and hawthorn extract.Functionally,the DP supplies native Extracellular Matrix(ECM)components and mechanical support,while PANINPs provide conductivity.The electrospun PLGA/Gel layer mimics fibrous ECM.It incorporates bioactives,with VEGF promoting pro-angiogenic stimulation and hawthorn extract enhanc-ing anticoagulant activity,as well as increasing surface hydrophilicity.The tissue adhesive ensures the interfacial integrity between the two layers.Decellularization efficiency was confirmed histologically using 4',6-diamidino-2-phenylindole(DAPI)and Hematoxylin-Eosin(H&E)staining.The DP exhibited a DNA content of 115.9±47.8 ng/mg DNA,compared to 982.88±395.42 ng/mg in Native Pericardium(NP).The PANINPs had an average par-ticle size of 104.94±13.7 nm.The conductivity of PANINPs-coated decellularized pericardium was measured to be 9.093±8.6×10-4 S/cm using the four-point probe method.PLGA/Gel membranes containing hawthorn extract(1%,5%,10%,and 15%w/v)and VEGF(0.1μg/mL,0.5μg/mL,and 1μg/mL)were fabricated by electrospinning,result-ing in fiber diameters between 850 and 1200 nm and pore sizes between 14 and 20μm.The anticoagulant efficiency of the membranes containing hawthorn extract reached 430 s in the Activated Partial Thromboplastin Time Assay(aPTT).Mechanical testing revealed a tensile strength of 22.70±6.33 MPa,an elongation of 53.58±10.63%,and Young's modulus of 0.67±0.10 MPa.The scaffold also exhibited over 91%cell viability and excellent cardiomyo-cyte adhesion.The hemolysis ratio was determined to be 0.421±0.191%,which confirms its blood compatibility.Our results indicate that the proposed bilayered scaffold can be a promising candidate for cardiac patch applications.展开更多
The increasing penetration of inverter-based resources(IBRs)and renewable energy resources poses significant challenges to the stability and controllability of modern power systems.Dynamic virtual power plants(DVPPs)h...The increasing penetration of inverter-based resources(IBRs)and renewable energy resources poses significant challenges to the stability and controllability of modern power systems.Dynamic virtual power plants(DVPPs)have emerged as a transformative solution for aggregating and controlling heterogeneously distributed energy resources(DERs)flexibly and dynamically.This paper presents a comprehensive review of DVPPs,covering their conceptual evolution—from microgrids to virtual power plants(VPPs)and fast-acting VPPs—culminating in the dynamic DVPP paradigm.This review explores key architectural frameworks,including grid-forming and grid-following roles,as well as AC/DC interfacing strategies.Emphasis is placed on secondary frequency and voltage control mechanisms,dynamic-based and market-based disaggregation,and control methodologies tailored to DERs.展开更多
Neuromuscular electrical stimulation(NMES)is a well-established therapeutic approach for chronic wounds.Conventionally,NMES involves direct electrode contact with wounds or adjacent healthy skin;however,it is limited ...Neuromuscular electrical stimulation(NMES)is a well-established therapeutic approach for chronic wounds.Conventionally,NMES involves direct electrode contact with wounds or adjacent healthy skin;however,it is limited by the need for wound exposure and by increased pain.Our preliminary study demonstrated the innovative application of remote NMES(rNMES)to the skeletal muscle of the distal calf,which showed the potential to accelerate wound healing in remote areas.rNMES was effective in human clinical trials in our previous work,although the underlying mechanisms remain unclear.As rNMES is often used to stimulate muscle contraction in long-term bedridden patients,we analyzed data from the Gene Expression Omnibus(GEO)database and found that exercise promotes midkine(MDK)expression in muscle.MDK is a small secreted heparin-binding protein that interacts with multiple cell surface receptors to promote growth.In the present study,we found that MDK significantly enhanced macrophage efferocytosis in a low-density lipoprotein receptor-related protein 1(LRP1)-dependent manner.Our findings demonstrate that rNMES upregulates MDK expression in skeletal muscles through the AMPK-ERK axis,facilitating its delivery to wounds through the circulatory system and promoting LRP1-mediated efferocytosis of apoptotic cells,thereby expediting wound healing.展开更多
Background Selenium(Se)is an essential soil mineral that can be incorporated into animal feedstuffs.Because of a lack of soil Se in some regions,organic or inorganic supplementation strategies must be implemented to p...Background Selenium(Se)is an essential soil mineral that can be incorporated into animal feedstuffs.Because of a lack of soil Se in some regions,organic or inorganic supplementation strategies must be implemented to prevent deficiencies and promote optimal ovine health.Therefore,the objectives of this study were to assess how inorganic versus organic Se supplementation influenced ewe Se status and immune function during late gestation and postpartum.Dorset Rideau ewes(n=110)were fed a Se deficient diet from gestation d 110 through postpartum d 49 and received one of four daily oral Se treatments diluted in 5 mL of sugar water:0 mg Se,0.3 mg inorganic Se,0.3 mg organic Se,and 0.6 mg organic Se.Throughout the trial,the ewes received various immune challenges,including intramuscular immunizations with a novel antigen(ovalbumin;OVA)on trial d 0 and 10,an intradermal OVA challenge on d 20,and a lipopolysaccharide(LPS)endotoxin challenge on trial d 49.Results The organic Se treatment groups had higher serum Se concentrations on most trial days compared to the 0.3 mg inorganic and control groups(P<0.05).No significant treatment differences were found for the dermal hypersensitivity response to OVA,anti-OVA antibody response,glutathione peroxidase activity,cytokine response,cortisol response,or rectal temperature(P>0.05).However,4 h post-LPS injection,the serum albumin concentration was significantly lower in the 0.3 mg inorganic group compared to both organic Se groups,potentially indicating a higher degree of inflammation in the ewes supplemented with the inorganic Se.Conclusions The results of this study indicate that organic Se supplementation can promote a higher Se status in ewes over time,but Se supplementation during this study period did not affect tested immunological parameters.This lack of difference in immune responsiveness between groups may be due to an absence of true serum Se deficiencies in the Se-deficient group or the levels of Se supplementation being insufficient to significantly improve immunocompetence.展开更多
With the proliferation of Internet of Things(IoT)devices,securing these interconnected systems against cyberattacks has become a critical challenge.Traditional security paradigms often fail to cope with the scale and ...With the proliferation of Internet of Things(IoT)devices,securing these interconnected systems against cyberattacks has become a critical challenge.Traditional security paradigms often fail to cope with the scale and diversity of IoT network traffic.This paper presents a comparative benchmark of classic machine learning(ML)and state-of-the-art deep learning(DL)algorithms for IoT intrusion detection.Our methodology employs a twophased approach:a preliminary pilot study using a custom-generated dataset to establish baselines,followed by a comprehensive evaluation on the large-scale CICIoTDataset2023.We benchmarked algorithms including Random Forest,XGBoost,CNN,and StackedLSTM.The results indicate that while top-performingmodels frombothcategories achieve over 99%classification accuracy,this metric masks a crucial performance trade-off.We demonstrate that treebased ML ensembles exhibit superior precision(91%)in identifying benign traffic,making them effective at reducing false positives.Conversely,DL models demonstrate superior recall(96%),making them better suited for minimizing the interruption of legitimate traffic.We conclude that the selection of an optimal model is not merely a matter of maximizing accuracy but is a strategic choice dependent on the specific security priority either minimizing false alarms or ensuring service availability.Thiswork provides a practical framework for deploying context-aware security solutions in diverse IoT environments.展开更多
The developing Sixth-Generation(6G)network aims to establish seamless global connectivity for billions of humans,machines,and devices.However,the rich digital service and the explosive heterogeneous connection between...The developing Sixth-Generation(6G)network aims to establish seamless global connectivity for billions of humans,machines,and devices.However,the rich digital service and the explosive heterogeneous connection between various entities in 6G networks can not only induce increasing complications of digital identity management,but also raise material concerns about the security and privacy of the user identity.In this paper,we design a user-centric identity management that returns the sole control to the user self and achieves identity sovereignty toward 6G networks.Specifically,we propose a blockchain-based Identity Management(IDM)architecture for 6G networks,which provides a practical method to secure digital identity management.Subsequently,we develop a fully privacy-preserving identity attribute management scheme by using zero-knowledge proof to protect the privacy-sensitive identity attribute.In particular,the scheme achieves an identity attribute hiding and verification protocol to support users in obtaining and applying their identity attributes without revealing concrete data.Finally,we analyze the security of the proposed architecture and implement a prototype system to evaluate its performance.The results demonstrate that our architecture ensures effective user digital identity management in 6G networks.展开更多
The flow of a tetra-hybrid Casson nanofluid(Al_(2)O_(3)-CuO-TiO_(2)-Ag/H_(2)O)over a nonlinear stretching sheet is investigated.The Buongiorno model is used to account for thermophoresis and Brownian motion,while ther...The flow of a tetra-hybrid Casson nanofluid(Al_(2)O_(3)-CuO-TiO_(2)-Ag/H_(2)O)over a nonlinear stretching sheet is investigated.The Buongiorno model is used to account for thermophoresis and Brownian motion,while thermal radiation is incorporated to examine its influence on the thermal boundary layer.The governing partial differential equations(PDEs)are reduced to a system of nonlinear ordinary differential equations(ODEs)with fully non-dimensional similarity transformations involving all independent variables.To solve the obtained highly nonlinear system of differential equations,a novel Clique polynomial collocation method is applied.The analysis focuses on the effects of the Casson parameter,power index,radiation parameter,thermophoresis parameter,Brownian motion parameter,and Lewis number.The key findings show that thermal radiation intensifies the thermal boundary layer,the Casson parameter reduces the velocity,and the Lewis number suppresses the concentration with direct relevance to polymer processing,coating flows,electronic cooling,and biomedical applications.展开更多
After about 20 years of exciting improvements in treatment efficacy outcomes of advanced epidermal growth factor receptor(EGFR)mutant and anaplastic lymphoma kinase(ALK)rearranged non-small cell lung cancer(NSCLC),als...After about 20 years of exciting improvements in treatment efficacy outcomes of advanced epidermal growth factor receptor(EGFR)mutant and anaplastic lymphoma kinase(ALK)rearranged non-small cell lung cancer(NSCLC),also combined with a progressively better safety profile,from chemotherapy to new generation tyrosine kinase inhibitors(TKIs)(osimertinib,alectinib,brigatinib),the recent MARIPOSA and CROWN trials have changed this trend.For the first time in the history of EGFR and ALK treatments,we must face the issue of being a step behind in terms of toxicity profile.The combination of amivantamab plus lazertinib in EGFR mutant NSCLC,and lorlatinib in ALK rearranged NSCLC,has improved efficacy outcomes as never before.The story would be easy and totally positive if these two innovative,amazing treatments were not associated with new peculiar features in safety profiles that must be discussed with patients,because they potentially affect their quality of life.When treating these patient populations,the peculiar safety profiles of amivantamab plu lazertinib and lorlatinib require a well-structured shared decision making,“where and when”,both the high probability of a longer survival and the risk of worse quality of life must be well announced and explained to our patients before the shared final treatment choice.展开更多
基金Project supported by the Natural Science Foundation of Shandong Province of China(No.ZR2024MA085)the Fundamental Research Funds for Central Universities of China(No.27RA2515008)。
文摘When micro/nano-scale gradient coatings are subject to large thermal gradients or high heat fluxes,the spatial size effect cannot be ignored.It is important to understand how the size effect influences the thermal fracture behavior of functionally graded coating/substrate structures.This study aims at analyzing the transient thermal fracture behavior of collinear interface cracks in functionally graded coating/substrate structures based on the nonlocal dual-phase-lag heat conduction model.By means of integral transform techniques,the mixed boundary problem is transformed into a set of singular integral equations,which are solved by the Chebyshev polynomials.The effects of the nonlocal parameter,coating thickness,crack spacing,and non-homogeneous parameters on the temperature and stress intensity factors(SIFs)are examined.The numerical results show that these parameters play an essential role in controlling the thermal fracture behavior of the structures,especially at micro/nano-scales.
文摘For environmental applications,it is crucial to rationally design and synthesize photocatalysts with positive exciton splitting and interfacial charge transfer.Here,a novel Agbridged dual Z-scheme Ag/g-C_(3)N_(4)/CoNi-LDH plasmonic heterojunction was successfully synthesized using a simple method,with the goal of overcoming the common drawbacks of traditional photocatalysts such as weak photoresponsivity,rapid combination of photogenerated carriers,and unstable structure.These materials were characterized by XRD,FT-IR,SEM,TEM UV-Vis/DRS,and XPS to verify the structure and stability of the heterostructure.The pristine LDH,g-C_(3)N_(4),and Ag/g-C_(3)N_(4)/CoNi-LDH composite were investigated as photocatalysts for water remediation,an environmentally motivated process.Specifically,the photocatalytic degradation of tetracycline was studied as a model reaction.The performance of the supports and composite catalyst were determined by evaluating both the degradation and adsorption phenomenon.The influence of several experimental parameters such as catalyst loading,pH,and tetracycline concentrationwere evaluated.The current study provides important data for water treatment and similar environmental protection applications.
文摘<strong>Introduction:</strong> Chronic renal failure (CRF) is defined as glomerular filtration rate (GFR) less than 60 ml/min/1.73m<sup>2</sup> for at least three (3) months. Anemia is one of its most common complications. Anemia increases the risk factor for cardiovascular mortality by 18% per gram of hemoglobin loss. <strong>Objectives:</strong> To determine the prevalence and characteristics of this severe anemia, to determine the indications for transfusion, the complications related to this anemia, the evolution and the prognosis of these patients. <strong>Materials and Methods:</strong> This was a descriptive study with retrospective data collection over 18 months (January 1, 2017 to June 30, 2018) that included hospitalized CRF patients. Were included, non-dialyzed chronic renal failure patients with Hb ≤ 5 g/dl hospitalized during the said period. Not included were chronic renal failure patients with an Hb level ≥ 5 g/dl, those followed up and/or hospitalized outside the study period. <strong>Results:</strong> Among 1176 patients, 26 had severe anemia (Hb level ≤ 5 g/dl) on CRF, a prevalence of 2.21%. The mean age was 40 years ± 32.62 with extremes of 15 and 67 years. Seventeen women and 9 men. The etiology of chronic renal failure (CRF) was hypertensive vascular nephropathy in 50% of cases. CRF was end-stage in 18 patients (69.2%). The mean hemoglobin level was 4.10 g/dl ± 0.64 with extremes of 2 and 5 g/dl. The anemia was microcytic hypochromic in 50% and aregenerative (96.2%). The main symptoms were asthenia in 20 cases (76.9%), dizziness in 20 cases (76.9%), exertional dyspnea in 19 cases (73.1%). Signs of cardiac decompensation (n = 12) were jugular turgor 10 cases (38.5%), hepato-jugular reflux 06 cases (23.1%), mitral insufficiency murmur 06 cases (23.1%). The main complication was left ventricular hypertrophy 17 cases (77.3%). There was no correlation between anemia and sex (p = 0.291), age (p = 0.778), malaria (p = 0.158), etiology of CRF (p = 0.26). The evolution after treatment of anemia was favorable in 19 patients (73.1%), unfavorable in 02 patients (7.7%) and 05 deaths (19.2%). The deaths were of cardiovascular cause: left ventricular insufficiency 04 cases, stroke 01 case. <strong>Conclusion:</strong> Anemia is frequent in patients with chronic renal failure and remains an important risk factor for cardiovascular disease and poor general condition.
基金funded by TSRI Fund(CU_FRB640001_01_21_6).Amir Parnianifard would like to acknowledge the financial support by Second Century Fund(C2F),Chulalongkorn University,BangkokSupporting Project number(TURSP-2020/228),Taif University,Taif,Saudi Arabia for the financial support.
文摘With every passing day,the demand for data traffic is increasing,and this urges the research community not only to look for an alternating spectrum for communication but also urges radio frequency planners to use the existing spectrum efficiently.Cell sizes are shrinking with every upcoming communication generation,which makes base station placement planning even more complex and cumbersome.In order to make the next-generation cost-effective,it is important to design a network in such a way that it utilizes the minimum number of base stations while ensuring seamless coverage and quality of service.This paper aims at the development of a new simulation-based optimization approach using a hybrid metaheuristic and metamodel applied in a novel mathematical formulation of the multi-transmitter placement planning(MTPP)problem.We first develop a new mathematical programming model for MTPP that is flexible to design the locations for any number of transmitters.To solve this constrained optimization problem,we propose a hybrid approach using the radial basis function(RBF)metamodel to assist the particle swarm optimizer(PSO)by mitigating the associated computational burden of the optimization procedure.We evaluate the effectiveness and applicability of the proposed algorithm by simulating the MTPP model with two,three,four and five transmitters and estimating the Pareto front for optimal locations of transmitters.The quantitative results show that almost maximum signal coverage can be obtained with four transmitters;thus,it is not a wise idea to use higher number of transmitters in the model.Furthermore,the limitations and future works are discussed.
基金Supported by the National Natural Science Foundation of China(No.52273056)the Science and Technology Development Program of Jilin Province,China(No.YDZJ202501ZYTS305)。
文摘Electrochemical water splitting represents a sustainable technology for hydrogen(H_(2))production.However,its large-scale implementation is hindered by the high overpotentials required for both the cathodic hydrogen evolution reaction(HER)and the anodic oxygen evolution reaction(OER).Transition metal-based catalysts have garnered significant research interest as promising alternatives to noble-metal catalysts,owing to their low cost,tunable composition,and noble-metal-like catalytic activity.Nevertheless,systematic reviews on their application as bifunctional catalysts for overall water splitting(OWS)are still limited.This review comprehensively outlines the principal categories of bifunctional transition metal electrocatalysts derived from electrospun nanofibers(NFs),including metals,oxides,phosphides,sulfides,and carbides.Key strategies for enhancing their catalytic performance are systematically summarized,such as heterointerface engineering,heteroatom doping,metal-nonmetal-metal bridging architectures,and single-atom site design.Finally,current challenges and future research directions are discussed,aiming to provide insightful perspectives for the rational design of high-performance electrocatalysts for OWS.
文摘This study addresses the challenge of predicting zinc(Zn)recovery from carbonate ores via sodium hydroxide(NaOH)leaching.This complex process influenced by variable ore composition,surface passivation effects,and nonlinear reaction dynamics,which complicate reagent optimization and process control in hydrometallurgical operations.To tackle this,a dataset containing 422 experimental observations was compiled from previous studies,incorporating ore composition and process parameters,such as NaOH concentration,leaching time,temperature,and solid-to-liquid ratio.Four regression models(decision tree,neural network,generalized additive model,and random forest)were trained and evaluated using performance metrics,such as coefficient of determination(R^(2)),root mean squared error(RMSE),mean absolute error(MAE),mean absolute percentage error(MAPE),and symmetrical mean absolute percentage error(SMAPE).Among these,the random forest model achieved the best predictive accuracy,with R^(2)value of 0.8541 on the test set and the lowest error rates,demonstrating its effectiveness in capturing the complex relationships between input variables and Zn recovery.Explainable artificial intelligence,particularly SHapley additive exPlanations(SHAP)analysis,revealed that NaOH concentration,leaching time,and solid-to-liquid ratio had the most positive influence on Zn recovery,whereas elements such as Ca,Fe,and Pb had inhibitory effects.These findings align with known geochemical behavior and provide valuable insights for reagent optimization and process effi-ciency in leaching processes.This study demonstrates the practical potential of machine learning in mineral processing,offering a scalable framework for optimizing Zn recovery from non-sulfide ores and a data-driven approach to enhance decision-making in hydrometallurgical applications.
基金supported by the National Natural Science Foundation of China,No.82001325Visiting Scholar Foundation of Shandong Province,No.20236-01(both to CS).
文摘Stroke is the leading cause of mortality globally,ultimately leading to severe,lifelong neurological impairments.Patients often suffer from a secondary cascade of damage,including neuroinflammation,cytotoxicity,oxidative stress,and mitochondrial dysfunction.Regrettably,there is a paucity of clinically available therapeutics to address these issues.Emerging evidence underscores the pivotal roles of astrocytes,the most abundant glial cells in the brain,throughout the various stages of ischemic stroke.In this comprehensive review,we initially provide an overview of the fundamental physiological functions of astrocytes in the brain,emphasizing their critical role in modulating neuronal homeostasis,synaptic activity,and blood-brain barrier integrity.We then delve into the growing body of evidence that highlights the functional diversity and heterogeneity of astrocytes in the context of ischemic stroke.Their well-established contributions to energy provision,metabolic regulation,and neurotransmitter homeostasis,as well as their emerging roles in mitochondrial recovery,neuroinflammation regulation,and oxidative stress modulation following ischemic injury,are discussed in detail.We also explore the cellular and molecular mechanisms underpinning these functions,with particular emphasis on recently identified targets within astrocytes that offer promising prospects for therapeutic intervention.In the final section of this review,we offer a detailed overview of the current therapeutic strategies targeting astrocytes in the treatment of ischemic stroke.These astrocyte-targeting strategies are categorized into traditional small-molecule drugs,microRNAs(miRNAs),stem cell-based therapies,cellular reprogramming,hydrogels,and extracellular vesicles.By summarizing the current understanding of astrocyte functions and therapeutic targeting approaches,we aim to highlight the critical roles of astrocytes during and after stroke,particularly in the pathophysiological development in ischemic stroke.We also emphasize promising avenues for novel,astrocyte-targeted therapeutics that could become clinically available options,ultimately improving outcomes for patients with stroke.
文摘In this study,we developed a novel bilayered scaffold consisting of a bottom layer composed of the Decellularized Bovine Pericardium(DP)coated with Polyaniline Nanoparticles(PANINPs)and a top layer made of an electrospun Poly(lactic-co-glycolic acid)/Gelatin(PLGA/Gel)membrane incorporated with Vascular Endothelial Growth Fac-tor(VEGF)and hawthorn extract.Functionally,the DP supplies native Extracellular Matrix(ECM)components and mechanical support,while PANINPs provide conductivity.The electrospun PLGA/Gel layer mimics fibrous ECM.It incorporates bioactives,with VEGF promoting pro-angiogenic stimulation and hawthorn extract enhanc-ing anticoagulant activity,as well as increasing surface hydrophilicity.The tissue adhesive ensures the interfacial integrity between the two layers.Decellularization efficiency was confirmed histologically using 4',6-diamidino-2-phenylindole(DAPI)and Hematoxylin-Eosin(H&E)staining.The DP exhibited a DNA content of 115.9±47.8 ng/mg DNA,compared to 982.88±395.42 ng/mg in Native Pericardium(NP).The PANINPs had an average par-ticle size of 104.94±13.7 nm.The conductivity of PANINPs-coated decellularized pericardium was measured to be 9.093±8.6×10-4 S/cm using the four-point probe method.PLGA/Gel membranes containing hawthorn extract(1%,5%,10%,and 15%w/v)and VEGF(0.1μg/mL,0.5μg/mL,and 1μg/mL)were fabricated by electrospinning,result-ing in fiber diameters between 850 and 1200 nm and pore sizes between 14 and 20μm.The anticoagulant efficiency of the membranes containing hawthorn extract reached 430 s in the Activated Partial Thromboplastin Time Assay(aPTT).Mechanical testing revealed a tensile strength of 22.70±6.33 MPa,an elongation of 53.58±10.63%,and Young's modulus of 0.67±0.10 MPa.The scaffold also exhibited over 91%cell viability and excellent cardiomyo-cyte adhesion.The hemolysis ratio was determined to be 0.421±0.191%,which confirms its blood compatibility.Our results indicate that the proposed bilayered scaffold can be a promising candidate for cardiac patch applications.
文摘The increasing penetration of inverter-based resources(IBRs)and renewable energy resources poses significant challenges to the stability and controllability of modern power systems.Dynamic virtual power plants(DVPPs)have emerged as a transformative solution for aggregating and controlling heterogeneously distributed energy resources(DERs)flexibly and dynamically.This paper presents a comprehensive review of DVPPs,covering their conceptual evolution—from microgrids to virtual power plants(VPPs)and fast-acting VPPs—culminating in the dynamic DVPP paradigm.This review explores key architectural frameworks,including grid-forming and grid-following roles,as well as AC/DC interfacing strategies.Emphasis is placed on secondary frequency and voltage control mechanisms,dynamic-based and market-based disaggregation,and control methodologies tailored to DERs.
基金supported by the National Natural Science Foundation of China(Grant No.82271252 to W.L.,No.8217091029 to T.W.and No.82204542 to L.H.)the Key Medical Research Projects of Jiangsu Health and Health Commission(Grant No.K2023066 to L.Z.)the Taishan Industrial Talent Project(Grant No.2020-371722-73-03-097290 to W.L.).
文摘Neuromuscular electrical stimulation(NMES)is a well-established therapeutic approach for chronic wounds.Conventionally,NMES involves direct electrode contact with wounds or adjacent healthy skin;however,it is limited by the need for wound exposure and by increased pain.Our preliminary study demonstrated the innovative application of remote NMES(rNMES)to the skeletal muscle of the distal calf,which showed the potential to accelerate wound healing in remote areas.rNMES was effective in human clinical trials in our previous work,although the underlying mechanisms remain unclear.As rNMES is often used to stimulate muscle contraction in long-term bedridden patients,we analyzed data from the Gene Expression Omnibus(GEO)database and found that exercise promotes midkine(MDK)expression in muscle.MDK is a small secreted heparin-binding protein that interacts with multiple cell surface receptors to promote growth.In the present study,we found that MDK significantly enhanced macrophage efferocytosis in a low-density lipoprotein receptor-related protein 1(LRP1)-dependent manner.Our findings demonstrate that rNMES upregulates MDK expression in skeletal muscles through the AMPK-ERK axis,facilitating its delivery to wounds through the circulatory system and promoting LRP1-mediated efferocytosis of apoptotic cells,thereby expediting wound healing.
基金Ontario Ministry of Agriculture,Food and Agribusiness(OMAFA)Natural Sciences and Engineering Research Council of Canada(NSERC)+1 种基金AdisseoOntario Sheep Farmers。
文摘Background Selenium(Se)is an essential soil mineral that can be incorporated into animal feedstuffs.Because of a lack of soil Se in some regions,organic or inorganic supplementation strategies must be implemented to prevent deficiencies and promote optimal ovine health.Therefore,the objectives of this study were to assess how inorganic versus organic Se supplementation influenced ewe Se status and immune function during late gestation and postpartum.Dorset Rideau ewes(n=110)were fed a Se deficient diet from gestation d 110 through postpartum d 49 and received one of four daily oral Se treatments diluted in 5 mL of sugar water:0 mg Se,0.3 mg inorganic Se,0.3 mg organic Se,and 0.6 mg organic Se.Throughout the trial,the ewes received various immune challenges,including intramuscular immunizations with a novel antigen(ovalbumin;OVA)on trial d 0 and 10,an intradermal OVA challenge on d 20,and a lipopolysaccharide(LPS)endotoxin challenge on trial d 49.Results The organic Se treatment groups had higher serum Se concentrations on most trial days compared to the 0.3 mg inorganic and control groups(P<0.05).No significant treatment differences were found for the dermal hypersensitivity response to OVA,anti-OVA antibody response,glutathione peroxidase activity,cytokine response,cortisol response,or rectal temperature(P>0.05).However,4 h post-LPS injection,the serum albumin concentration was significantly lower in the 0.3 mg inorganic group compared to both organic Se groups,potentially indicating a higher degree of inflammation in the ewes supplemented with the inorganic Se.Conclusions The results of this study indicate that organic Se supplementation can promote a higher Se status in ewes over time,but Se supplementation during this study period did not affect tested immunological parameters.This lack of difference in immune responsiveness between groups may be due to an absence of true serum Se deficiencies in the Se-deficient group or the levels of Se supplementation being insufficient to significantly improve immunocompetence.
文摘With the proliferation of Internet of Things(IoT)devices,securing these interconnected systems against cyberattacks has become a critical challenge.Traditional security paradigms often fail to cope with the scale and diversity of IoT network traffic.This paper presents a comparative benchmark of classic machine learning(ML)and state-of-the-art deep learning(DL)algorithms for IoT intrusion detection.Our methodology employs a twophased approach:a preliminary pilot study using a custom-generated dataset to establish baselines,followed by a comprehensive evaluation on the large-scale CICIoTDataset2023.We benchmarked algorithms including Random Forest,XGBoost,CNN,and StackedLSTM.The results indicate that while top-performingmodels frombothcategories achieve over 99%classification accuracy,this metric masks a crucial performance trade-off.We demonstrate that treebased ML ensembles exhibit superior precision(91%)in identifying benign traffic,making them effective at reducing false positives.Conversely,DL models demonstrate superior recall(96%),making them better suited for minimizing the interruption of legitimate traffic.We conclude that the selection of an optimal model is not merely a matter of maximizing accuracy but is a strategic choice dependent on the specific security priority either minimizing false alarms or ensuring service availability.Thiswork provides a practical framework for deploying context-aware security solutions in diverse IoT environments.
文摘The developing Sixth-Generation(6G)network aims to establish seamless global connectivity for billions of humans,machines,and devices.However,the rich digital service and the explosive heterogeneous connection between various entities in 6G networks can not only induce increasing complications of digital identity management,but also raise material concerns about the security and privacy of the user identity.In this paper,we design a user-centric identity management that returns the sole control to the user self and achieves identity sovereignty toward 6G networks.Specifically,we propose a blockchain-based Identity Management(IDM)architecture for 6G networks,which provides a practical method to secure digital identity management.Subsequently,we develop a fully privacy-preserving identity attribute management scheme by using zero-knowledge proof to protect the privacy-sensitive identity attribute.In particular,the scheme achieves an identity attribute hiding and verification protocol to support users in obtaining and applying their identity attributes without revealing concrete data.Finally,we analyze the security of the proposed architecture and implement a prototype system to evaluate its performance.The results demonstrate that our architecture ensures effective user digital identity management in 6G networks.
基金the UGC,New Delhi,India for financial assistance via the UGC-Junior Research Fellowship(CSIR-UGC NET JULY 2024)(Student ID:241610090610)。
文摘The flow of a tetra-hybrid Casson nanofluid(Al_(2)O_(3)-CuO-TiO_(2)-Ag/H_(2)O)over a nonlinear stretching sheet is investigated.The Buongiorno model is used to account for thermophoresis and Brownian motion,while thermal radiation is incorporated to examine its influence on the thermal boundary layer.The governing partial differential equations(PDEs)are reduced to a system of nonlinear ordinary differential equations(ODEs)with fully non-dimensional similarity transformations involving all independent variables.To solve the obtained highly nonlinear system of differential equations,a novel Clique polynomial collocation method is applied.The analysis focuses on the effects of the Casson parameter,power index,radiation parameter,thermophoresis parameter,Brownian motion parameter,and Lewis number.The key findings show that thermal radiation intensifies the thermal boundary layer,the Casson parameter reduces the velocity,and the Lewis number suppresses the concentration with direct relevance to polymer processing,coating flows,electronic cooling,and biomedical applications.
文摘After about 20 years of exciting improvements in treatment efficacy outcomes of advanced epidermal growth factor receptor(EGFR)mutant and anaplastic lymphoma kinase(ALK)rearranged non-small cell lung cancer(NSCLC),also combined with a progressively better safety profile,from chemotherapy to new generation tyrosine kinase inhibitors(TKIs)(osimertinib,alectinib,brigatinib),the recent MARIPOSA and CROWN trials have changed this trend.For the first time in the history of EGFR and ALK treatments,we must face the issue of being a step behind in terms of toxicity profile.The combination of amivantamab plus lazertinib in EGFR mutant NSCLC,and lorlatinib in ALK rearranged NSCLC,has improved efficacy outcomes as never before.The story would be easy and totally positive if these two innovative,amazing treatments were not associated with new peculiar features in safety profiles that must be discussed with patients,because they potentially affect their quality of life.When treating these patient populations,the peculiar safety profiles of amivantamab plu lazertinib and lorlatinib require a well-structured shared decision making,“where and when”,both the high probability of a longer survival and the risk of worse quality of life must be well announced and explained to our patients before the shared final treatment choice.
