BACKGROUND Gastrointestinal(GI)tumors are among the most prevalent malignancies,and surgical intervention remains a primary treatment modality.However,the complexity of GI surgery often leads to prolonged recovery and...BACKGROUND Gastrointestinal(GI)tumors are among the most prevalent malignancies,and surgical intervention remains a primary treatment modality.However,the complexity of GI surgery often leads to prolonged recovery and high postoperative complication rates,which threaten patient safety and functional outcomes.Enhanced recovery after surgery(ERAS)principles have been shown to improve perioperative outcomes through evidence-based,multidisciplinary care pathways.Despite its widespread adoption,there is a paucity of research focusing specifically on optimizing ERAS-guided nursing processes in the post-anesthesia care unit(PACU)and evaluating its impact on perioperative safety in patients undergoing GI tumor surgery.This study aimed to investigate whether an ERASbased PACU nursing protocol could enhance recovery,reduce complications,and improve patient safety in this surgical population.AIM To explore the impact of optimizing the recovery room nursing process based on ERAS on the perioperative safety of patients with GI tumors.METHODS A total of 260 patients with GI tumors who underwent elective surgeries under general anesthesia in our hospital from August 2023 to August 2025 and were then observed in the recovery unit(PACU)were selected.They were randomly divided into the observation group(the PACU nursing process was optimized based on ERAS)and the control group(the conventional PACU nursing process was adopted)by the random number grouping method,with 130 cases in each group.The time of gastric tube removal,urinary catheter removal,defecation time,hospital stay,time of leaving the room after tube removal,retention time in the recovery room,occurrence of complications,satisfaction and readmission rate were compared between the two groups after entering the room.Compare the occurrence of adverse events in the PACU nursing process between the two groups.RESULTS The time of gastric tube removal,urinary catheter removal,defecation time,hospital stay,retention time in the recovery room,total incidence of complications and readmission rate in the observation group were significantly lower than those in the control group,and the satisfaction rate was higher than that in the control group(P<0.05).The occurrence of adverse events in the PACU nursing process in the observation group was lower than that in the control group(P<0.05).CONCLUSION Optimizing the PACU nursing process based on ERAS can effectively accelerate the recovery process of patients undergoing GI tumor surgery,reduce adverse events,improve nursing satisfaction,and at the same time,lower the incidence of adverse events in the PACU nursing process,providing a more refined management basis for clinical practice.展开更多
Many adsorbents have been developed for uranium recovery to ensure global energy and environmental security.However,most reported adsorbents involve complex preparation process and rely heavily on petrochemical feedst...Many adsorbents have been developed for uranium recovery to ensure global energy and environmental security.However,most reported adsorbents involve complex preparation process and rely heavily on petrochemical feedstocks,which undoubtedly increases carbon emissions from production in the nuclear industry.Here,a biomass aerogel(CS-BT)is prepared by the facile cross-linking of chitosan and bayberry tannins with glutaraldehyde.U(Ⅵ)can be adsorbed by hydroxyl groups on CS-BT aerogel via chelation,and the maximum adsorption capacity of the obtained aerogel to U(Ⅵ)is 140 mg·g^(-1)and the removal rate reaches up to 99%(at 298.15 K,pH=5.0).The pseudo-second-order kinetics model and Freundlich model can better match the adsorption process of CS-BT aerogel,implying that its adsorption is a chemical adsorption process dominated by multilayer adsorption.The thermodynamic results show that the adsorption process of U(Ⅵ)by CS-BT aerogel is spontaneous and exothermic.Hence,our biomass aerogel can effectively extract uranium from water,contributing to the sustainable development of the nuclear industry.展开更多
The recovery of precious metals(PMs)from secondary resources is critical for addressing global supply-chain vulnerabilities and sustainable resource utilization.This review systematically examines the transformative p...The recovery of precious metals(PMs)from secondary resources is critical for addressing global supply-chain vulnerabilities and sustainable resource utilization.This review systematically examines the transformative potential of metal-organic frameworks(MOFs)as next-generation adsorbents for PM recovery,focusing on their synthesis,functionalization,and multiscale adsorption mechanisms.We critically analyze conventional pyrometallurgical and hydrometallurgical methods and highlight their limitations in terms of selectivity,energy consumption,and secondary pollution.In contrast,MOFs offer tunable porosity,abundant active sites,and tunable surface chemistry,enabling efficient PM capture via synergistic physical and chemical adsorption.Advanced modification techniques,including direct synthesis and post-synthetic modification,are reviewed to propose strategies for enhancing the adsorption kinetics and selectivity for Au,Ag,Pt,and Pd.Key structure-property relationships are established through multiscale characterization and thermodynamic models,revealing the critical roles of hierarchical porosity,soft donor atoms,and framework stability.Industrial challenges,such as aqueous stability and scalability,are addressed via Zr-O bond strengthening,hydrophobic functionalization,and support immobilization.This study consolidates the experimental and theoretical advances in MOF-based PM recovery and provides a roadmap for translating laboratory innovations into practical applications within the circular-economy framework.展开更多
This study aims to explore the impact of combined health education and dietary guidance on the speed of postoperative recovery in patients with gastrointestinal polyps.A specific number of patients who underwent gastr...This study aims to explore the impact of combined health education and dietary guidance on the speed of postoperative recovery in patients with gastrointestinal polyps.A specific number of patients who underwent gastrointestinal polyp resection were selected and randomly divided into a control group and an experimental group.The control group received routine nursing,while the experimental group implemented combined health education and dietary guidance on this basis.By comparing the recovery indicators of the two groups,it was found that the recovery speed of the experimental group was significantly faster than that of the control group,indicating that this combined intervention method can effectively promote patient recovery.展开更多
Selective extraction of precious metals from urban mines plays a crucial role in mitigating the risk of depletion of precious metal resources and reducing waste pollution.However,a major obstacle in precious metal ext...Selective extraction of precious metals from urban mines plays a crucial role in mitigating the risk of depletion of precious metal resources and reducing waste pollution.However,a major obstacle in precious metal extraction lies in the difficulty of distinguishing the subtle differences in the physicochemical characteristics between them,especially gold and palladium.Herein,a proton-driven separation system was presented for cascade recovery of gold and palladium from waste-printed circuit boards(W-PCBs)leachate using poly(amidoxime)(PAO)hydrogel.This exhibits an ultra-high capacity,extra-fast rate,and excellent selectivity for the extraction of Au(Ⅲ)and Pd(Ⅱ).Notably,the separation of Au(Ⅲ)and Pd(Ⅱ)can be achieved with high selectivity at pH=0,resulting in a remarkable separation factor of k_(Au(Ⅲ)/Pd(Ⅱ))=36.5.This was demonstrated to originate from the differential mechanism of PAO hydrogel for the capture of Au(Ⅲ)and Pd(Ⅱ)under proton-mediated conditions.Drawing inspiration from the mechanism,the proton-driven cascade recovery system demonstrates remarkable efficiency in sequentially recovering 99.92%of gold and 99.05%of palladium from W-PCBs acid leachate.This research opens up a strategy to precisely separate and recover precious metals from e-waste of urban mines.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
The proliferation of carrier aircraft and the integration of unmanned aerial vehicles(UAVs)on aircraft carriers present new challenges to the automation of launch and recovery operations.This paper investigates a coll...The proliferation of carrier aircraft and the integration of unmanned aerial vehicles(UAVs)on aircraft carriers present new challenges to the automation of launch and recovery operations.This paper investigates a collaborative scheduling problem inherent to the operational processes of carrier aircraft,where launch and recovery tasks are conducted concurrently on the flight deck.The objective is to minimize the cumulative weighted waiting time in the air for recovering aircraft and the cumulative weighted delay time for launching aircraft.To tackle this challenge,a multiple population self-adaptive differential evolution(MPSADE)algorithm is proposed.This method features a self-adaptive parameter updating mechanism that is contingent upon population diversity,an asynchronous updating scheme,an individual migration operator,and a global crossover mechanism.Additionally,comprehensive experiments are conducted to validate the effectiveness of the proposed model and algorithm.Ultimately,a comparative analysis with existing operation modes confirms the enhanced efficiency of the collaborative operation mode.展开更多
Thermomagnetic generation(TMG),a heat-to-electricity conversion technology based on the thermomagnetic effect,offers high reliability and broad adaptability to diverse heat sources.By exploiting the temperature-depend...Thermomagnetic generation(TMG),a heat-to-electricity conversion technology based on the thermomagnetic effect,offers high reliability and broad adaptability to diverse heat sources.By exploiting the temperature-dependent magnetization of thermomagnetic materials,TMG converts thermal energy into electrical energy through cyclic changes in magnetic flux based on Faraday's law.The performance of TMG systems is largely governed by the intrinsic properties of the working materials and the design of device architecture.Ideal TMG materials exhibit sharp and reversible magnetization transitions near the operating temperature,low thermal hysteresis,and high thermal conductivity.Device configurations can be broadly categorized into active and passive systems:active TMG devices rely on controlled thermal cycling and optimized magnetic circuits for enhanced output,whereas passive devices utilize self-actuated mechanical motion to generate electricity.In this topical review,we provide a comprehensive overview of recent advances in TMG materials and device configurations.Furthermore,we discuss future development trends and offer perspectives on experimental strategies to advance this field.展开更多
This editorial examines the emerging potential of traditional Chinese medicine(TCM)in enhancing postoperative recovery following gastroenteroscopy,highlighted by a 2025 randomized controlled trial by Hong et al.The st...This editorial examines the emerging potential of traditional Chinese medicine(TCM)in enhancing postoperative recovery following gastroenteroscopy,highlighted by a 2025 randomized controlled trial by Hong et al.The study,involving 120 patients,demonstrates that meridian flow injection(MFI)combined with transcutaneous electrical acupoint stimulation(TEAS)significantly improves gastrointestinal(GI)function,evidenced by a reduced time to first defecation(3.20±1.04 days vs 3.98±1.27 days,P<0.001),lowers stress biomarkers(e.g.,reduced cortisol and norepinephrine),and enhances clinical efficacy(93.33%vs 75.00%,P=0.006).Leveraging TCM’s five-element theory and Ziwu Liuzhu timing,the intervention targets key acupoints such as Zusanli(ST36)with a herbal paste comprising Qingpi,Houpu,and rhubarb,delivered transdermally to optimize bioavailability.This approach harmonizes ancient TCM principles with contemporary evidence-based practice,offering a holistic strategy to address postoperative nausea,delayed motility,and patient discomfort.Currently,integrative methods like MFI-TEAS are gaining traction,supported by recent meta-analyses that affirm TEAS’s efficacy in accelerating GI recovery across surgical contexts,including shortened times to first exhaust and defecation.This reflects a growing recognition of TCM’s role in perioperative care amidst rising global endoscopy demands.Looking forward,future research should prioritize multicenter,doubleblinded trials to enhance generalizability,adhere to standardized reporting frameworks such as CONSORT and STRICTA,and employ advanced tools like multiomics and functional magnetic resonance imaging to elucidate mechanistic pathways,including gut-brain axis modulation and microbiota-immune interactions.Such developments promise to refine these interventions,fostering a seamless integration of TCM with Western medicine and delivering tailored,patientcentered solutions to improve postoperative outcomes worldwide.展开更多
Ceramic 4D printing,which integrates dynamic deformation with additive manufacturing,demonstrates significant potential in intelligent manufacturing,on-demand shaping of complex structures,and multifunctional device d...Ceramic 4D printing,which integrates dynamic deformation with additive manufacturing,demonstrates significant potential in intelligent manufacturing,on-demand shaping of complex structures,and multifunctional device development.Its core advantage lies in endowing materials with environmentally responsive dynamic deformation capabilities.However,current technologies still face limitations in responsiveness,reversibility,and mechanical performance.To address these challenges,this study proposes a programmable ceramic precursor system based on synergistic reinforcement of phase-separating hydrogels and shape memory polymers,combined with a nano-ceramic particle enhancement strategy.Using stereolithography 3D printing,high-precision fabrication of complex structures was achieved.By adjusting precursor composition,programming time,and structural thickness,the phase-separation kinetics-driven delayed recovery mechanism was elucidated,enabling precise control over recovery onset time.Furthermore,the thermal response mechanism of the precursor materials is explored,along with their potential for multi-shape transformation in biomedical applications,which is further extended to shape memory polymer systems.By employing a layered printing strategy,the autonomous reversible deformation of ceramic precursors is realized,providing new possibilities for specific applications.展开更多
Urine consists of approximately 95%water,3.5%organic matter,and 1.5%inorganic salts.Membrane distillation(MD)offers a potential approach for urine resource utilization.To some extent,it reduces the loss of nitrogen an...Urine consists of approximately 95%water,3.5%organic matter,and 1.5%inorganic salts.Membrane distillation(MD)offers a potential approach for urine resource utilization.To some extent,it reduces the loss of nitrogen and phosphorus resources.However,MD is also accompanied by problems such as high membrane cost,membrane fouling and membrane wetting.In light of these issues,this study employs polytetrafluoroethylene(PTFE)as the separation layer and polypropylene(PP)as the support layer to make a distillation membrane.The feasibility and efficiency of the PTFE-PP membrane in intercepting and recovering nitrogen and phosphorus from source-separated urine were investigated.Results obtained through 14 days of continuous operation demonstrated that the recovery rates of nitrogen and phosphorus were 95%and 99%,respectively.The dissolved organic carbon recovery rate was 95%,and urea as well as the macromolecular organic matter in dissolved organic matter were significantly intercepted.The phosphorus content in the permeate was 0.022 mg/L,which met theⅡclass standard of China’s surface water and the basic water use standard of the United States Environmental Protection Agency.This finding reduces the pressure on sewage treatment plants.PTFE-PP distillation membrane has important potential in recovering nitrogen and phosphorus from urine and alleviating global water shortage.展开更多
Improving energy efficiency and lowering negative environmental impact through waste heat recovery(WHR)is a critical step toward sustainable cement manufacturing.This study analyzes advanced cogeneration systems for r...Improving energy efficiency and lowering negative environmental impact through waste heat recovery(WHR)is a critical step toward sustainable cement manufacturing.This study analyzes advanced cogeneration systems for recovering waste heat from the Fallujah White Cement Plant in Iraq.The novelty of this work lies in its direct application and comparative thermodynamic analysis of three distinct cogeneration cycles—the Organic Rankine Cycle,the Single-Flash Steam Cycle,and the Dual-Pressure Steam Cycle—within the Iraqi cement industry,a context that has not been widely studied.The main objective is to evaluate and compare these models to determine the most effective approach for enhancing energy and exergy efficiencies.Themethodology involved detailed thermodynamic and exergy analyses of each system,supported by mathematical modelling and simulation using data from plant operations.The results reveal that the Dual-Pressure Steam Cycle emerged as the most effective system,delivering 13.76 MW of net power with a thermal efficiency of 32.8%and an exergy efficiency of 51%.This significantly outperformed the baseline Organic Rankine Cycle(8.18MW,18.8%thermal efficiency,30.7%exergy efficiency).These findings confirm that multipressure steam cycles offer a robust and practical solution for the Fallujah plant.This application provides a clear,high-impact pathway to enhance national industrial energy efficiency,significantly reduce CO_(2) emissions,and promote clean energy sustainability in Iraq.Future work should consider economic feasibility and potential integration with renewable energy sources to further enhance sustainability.展开更多
Convex feasibility problems are widely used in image reconstruction, sparse signal recovery, and other areas. This paper is devoted to considering a class of convex feasibility problem arising from sparse signal recov...Convex feasibility problems are widely used in image reconstruction, sparse signal recovery, and other areas. This paper is devoted to considering a class of convex feasibility problem arising from sparse signal recovery. We first derive the projection formulas for a vector onto the feasible sets. The centralized circumcentered-reflection method is designed to solve the convex feasibility problem. Some numerical experiments demonstrate the feasibility and effectiveness of the proposed algorithm, showing superior performance compared to conventional alternating projection methods.展开更多
In April 2016,a moment magnitude(Mw)7.8 earthquake struck near Muisne(Pedernales),Ecuador,causing 671 fatalities,displacing>30,000 people,and generating approximately USD 3.6 billion in economic losses that severel...In April 2016,a moment magnitude(Mw)7.8 earthquake struck near Muisne(Pedernales),Ecuador,causing 671 fatalities,displacing>30,000 people,and generating approximately USD 3.6 billion in economic losses that severely impacted the coastal province of Manabí.Nine years later,the recovery trajectory of its principal urban centers-Pedernales,Manta,Portoviejo,and Chone-offers a critical perspective to assess adaptive resilience in earthquake-prone coastal cities of Latin America.This study conducts a regional assessment of post-earthquake recovery using the 4Rs resilience framework-robustness,redundancy,resourcefulness,and rapidity-applied across housing,health,education,infrastructure,and economic sectors.Official reports,statistical databases,and field validations collected between 2016 and 2025 provide the basis for documenting both progress and persistent challenges.The findings indicate that robustness improved with the enforcement of the Ecuadorian seismic code NEC-15 and the adoption of advanced technologies such as base isolation and supplemental damping in hospitals and high-rise buildings.Redundancy expanded selectively,being stronger in healthcare yet limited in housing and utilities.Resourcefulness varied across cities:municipal leadership and civic oversight in Manta and Portoviejo facilitated adaptive recovery,whereas Pedernales and Chone remained dependent on central agencies.Rapidity was similarly uneven;lifeline services were restored promptly,but complex projects-including hospitals,sewer systems,and residential complexes-faced delays of five to nine years.Structural assessments of 97 buildings revealed that nearly half remain without reinforcement,with recurrent deficiencies such as soft-story mecha-nisms,brittle masonry infill,and reinforcement corrosion sustaining latent seismic risk.Governance fragmen-tation,equity gaps,and insufficient monitoring thus emerged as critical barriers,underscoring the need for integrated governance,community participation,and AI-enabled monitoring to strengthen long-term disaster recovery in coastal cities.展开更多
Background:In mental health,recovery is emphasized,and qualitative analyses of service users’narratives have accumulated;however,while qualitative approaches excel at capturing rich context and generating new concept...Background:In mental health,recovery is emphasized,and qualitative analyses of service users’narratives have accumulated;however,while qualitative approaches excel at capturing rich context and generating new concepts,they are limited in generalizability and feasible data volume.This study aimed to quantify the subjective life history narratives of users of psychiatric home-visit nursing using natural language processing(NLP)and to clarify the relationships between linguistic features and recovery-related indicators.Methods:We conducted audio-recorded and transcribed semi-structured interviews on daily life verbatim and collected self-report questionnaires(Recovery Assessment Scale[RAS])and clinician ratings(Global Assessment of Functioning[GAF])from Japanese users of psychiatric home-visit nursing.Using the artificial intelligence-based topic-modeling method BERTopic,we extracted topics from the interview texts and calculated each participant’s topic proportions,and then examined associations between topic proportions and recovery-related indicators using Pearson correlation analyses.Results:“School”showed a significant positive correlation with RAS(r=0.39,p=0.05),whereas“Family”showed a significant negative correlation(r=–0.46,p=0.02).GAF was positively correlated with word count(r=0.44,p=0.02)and“Hospital”(r=0.42,p=0.03),and negatively correlated with“Backchannels”(aizuchi)(r=–0.41,p=0.03).Conclusion:The present results suggest that the quantity,quality,and content of narratives can serve as useful indicators of mental health and recovery,and that objective NLP-based analysis of service users’narratives can complement traditional self-report scales and clinician ratings to inform the design of recovery-oriented care in psychiatric home-visit nursing.展开更多
Carbon monoxide-from toxicity to therapeutic potential:Carbon monoxide(CO)has long been known as a toxic gas,primarily associated with environmental pollution and poisoning.Its strong affinity for hemoglobin causes th...Carbon monoxide-from toxicity to therapeutic potential:Carbon monoxide(CO)has long been known as a toxic gas,primarily associated with environmental pollution and poisoning.Its strong affinity for hemoglobin causes the formation of carboxyhemoglobin,which reduces oxygen delivery to the tissues and organs and leads to hypoxia.Despite its well-documented toxicity,previous studies have confirmed that CO also acts as a signaling molecule in the body and plays important physiological roles(Motterlini and Otterbein,2010).展开更多
Training large-scale deep neural networks(DNNs)is prone to software and hardware failures,with critical failures often requiring full-machine reboots that substantially prolong training.Existing checkpoint-recovery so...Training large-scale deep neural networks(DNNs)is prone to software and hardware failures,with critical failures often requiring full-machine reboots that substantially prolong training.Existing checkpoint-recovery solutions either cannot tolerate such critical failures or suffer from slow checkpointing and recovery due to constrained input/output bandwidth.In this paper,we propose FastCheck,a checkpoint-recovery framework that accelerates checkpointing and recovery through parallel transmission and tailored compression.First,FastCheck partitions checkpoints into shards and leverages multiple nodes for parallel checkpointing and recovery.Second,it further reduces checkpoint size and overhead with delta compression for weights and index compression for momentum.Third,FastCheck employs lightweight and consistent health status maintenance that accurately tracks node health,preventing checkpoint transmission to failed nodes.We implement FastCheck in PyTorch and evaluate it on multiple DNN models against two baselines.Experimental results show that FastCheck reduces the checkpointing time by up to 78.42%and the recovery time by up to 77.41%,while consistently improving efficiency across different training stages.展开更多
The recovery of gold from waste electronic and electric equipment(WEEE) has gained great attention with the increased number of WEEE,because it can largely alleviate the pressure on the environment and resources.Coval...The recovery of gold from waste electronic and electric equipment(WEEE) has gained great attention with the increased number of WEEE,because it can largely alleviate the pressure on the environment and resources.Covalent organic frameworks(COFs) are ideal adsorbents for gold recovery owing to their large surface area,good stability,easily functionalized ability,periodic structures,and definitive nanopores.Herein,a cyano-functionalized COF(COF-CN) with high crystallinity was large-scale prepared under mild conditions for the recovery of gold.The introduction of cyano groups enable COF-CN to exhibit excellent gold recovery performance,which possesses fast adsorption kinetics,high cycling stability,and adsorption capacity up to 663.67 mg/g.Excitingly,COF-CN showed extremely high selectivity for gold ions,even in the presence of various competing cations and anions.The COF-CN maintained excellent selectivity and removal efficiency in gold recovery experiments from WEEE.The facile synthesis of COF-CN and its outstanding selectivity in actual samples make it an attractive opportunity for practical gold recovery.展开更多
Inertial response control(IRC)makes variable-speed wind turbine generators(WTGs)provide short-term frequency support during contingencies by releasing the kinetic energy stored in wind turbine rotors.When frequency su...Inertial response control(IRC)makes variable-speed wind turbine generators(WTGs)provide short-term frequency support during contingencies by releasing the kinetic energy stored in wind turbine rotors.When frequency support is terminated,the rotor speed should be restored to optimum for maximum power point tracking(MPPT).Existing IRCs utilize rotor speed recovery(RSR)strategies with a consistent power reference function.However,under real turbulent wind with alternate gusts and lulls,the consistent power reference function may fail to restore rotor speed or cause unexpected secondary frequency drop(SFD).In this regard,this paper proposes a novel adaptive RSR strategy that not only restores rotor speed via the aerodynamic power enhanced by wind gusts,but also stabilizes the turbine at wind lulls by tracking a suboptimal power curve.Experiments on a wind power-integrated power system testbed validate the proposed RSR strategy can successfully restore rotor speed while attenuating SFD under turbulent wind.展开更多
Simultaneous uranium recovery,organic pollutant degradation,and electricity generation were achieved by employing a self-driven photoelectrochemical(PEC)system equipped with a modified carbon felt(MCF)cathode for the ...Simultaneous uranium recovery,organic pollutant degradation,and electricity generation were achieved by employing a self-driven photoelectrochemical(PEC)system equipped with a modified carbon felt(MCF)cathode for the treatment of complex radioactive wastewater.The MCF cathode was synthesized via a facile hydrothermal method,which modified the surface functional groups on carbon felt(CF)with enhanced active site availability and facilitated interfacial charge transfer,thus improving its UO_(2)^(2+)adsorption and reduction capacities.The self-driven PEC system with the MCF cathode demonstrated remarkable removal efficiencies and rate constants(k)for UO_(2)^(2+)(98.8%and 0.111 min^(−1))and chlortetracycline hydrochloride(CTC)(92.9%and 0.028 min^(−1))within 40 min and 90 min,respectively,coupled with an excellent power output of 1.41 mW/cm^(2).Additionally,the system with the MCF cathode exhibited superior removal performance for UO_(2)^(2+)and CTC in treating model complex wastewater under wide conditions.Even under natural sunlight,the system achieved over 80%removal efficiency for both UO_(2)^(2+)and CTC.Moreover,the uranium immobilized on the MCF cathode was mainly reduced to U(Ⅳ)species(90.51%),and performance remained robust over ten operational cycles.The cathode surface modification strategy and its application in the system provide a cost-effective,multi-functional and high-efficiency approach to controlling nuclides and organic pollutants in complex radioactive wastewater.展开更多
基金Supported by 2025 Henan Medical Education Research Project,No.WJLX2025038.
文摘BACKGROUND Gastrointestinal(GI)tumors are among the most prevalent malignancies,and surgical intervention remains a primary treatment modality.However,the complexity of GI surgery often leads to prolonged recovery and high postoperative complication rates,which threaten patient safety and functional outcomes.Enhanced recovery after surgery(ERAS)principles have been shown to improve perioperative outcomes through evidence-based,multidisciplinary care pathways.Despite its widespread adoption,there is a paucity of research focusing specifically on optimizing ERAS-guided nursing processes in the post-anesthesia care unit(PACU)and evaluating its impact on perioperative safety in patients undergoing GI tumor surgery.This study aimed to investigate whether an ERASbased PACU nursing protocol could enhance recovery,reduce complications,and improve patient safety in this surgical population.AIM To explore the impact of optimizing the recovery room nursing process based on ERAS on the perioperative safety of patients with GI tumors.METHODS A total of 260 patients with GI tumors who underwent elective surgeries under general anesthesia in our hospital from August 2023 to August 2025 and were then observed in the recovery unit(PACU)were selected.They were randomly divided into the observation group(the PACU nursing process was optimized based on ERAS)and the control group(the conventional PACU nursing process was adopted)by the random number grouping method,with 130 cases in each group.The time of gastric tube removal,urinary catheter removal,defecation time,hospital stay,time of leaving the room after tube removal,retention time in the recovery room,occurrence of complications,satisfaction and readmission rate were compared between the two groups after entering the room.Compare the occurrence of adverse events in the PACU nursing process between the two groups.RESULTS The time of gastric tube removal,urinary catheter removal,defecation time,hospital stay,retention time in the recovery room,total incidence of complications and readmission rate in the observation group were significantly lower than those in the control group,and the satisfaction rate was higher than that in the control group(P<0.05).The occurrence of adverse events in the PACU nursing process in the observation group was lower than that in the control group(P<0.05).CONCLUSION Optimizing the PACU nursing process based on ERAS can effectively accelerate the recovery process of patients undergoing GI tumor surgery,reduce adverse events,improve nursing satisfaction,and at the same time,lower the incidence of adverse events in the PACU nursing process,providing a more refined management basis for clinical practice.
基金supported by Doctoral Scientific Fund Project of Southwest University of Science and Technology(20zx7130)Seawater Uranium Extraction Innovation and Development Fund Project(China National Nuclear Corporation)(CNNCCXLM-202215)。
文摘Many adsorbents have been developed for uranium recovery to ensure global energy and environmental security.However,most reported adsorbents involve complex preparation process and rely heavily on petrochemical feedstocks,which undoubtedly increases carbon emissions from production in the nuclear industry.Here,a biomass aerogel(CS-BT)is prepared by the facile cross-linking of chitosan and bayberry tannins with glutaraldehyde.U(Ⅵ)can be adsorbed by hydroxyl groups on CS-BT aerogel via chelation,and the maximum adsorption capacity of the obtained aerogel to U(Ⅵ)is 140 mg·g^(-1)and the removal rate reaches up to 99%(at 298.15 K,pH=5.0).The pseudo-second-order kinetics model and Freundlich model can better match the adsorption process of CS-BT aerogel,implying that its adsorption is a chemical adsorption process dominated by multilayer adsorption.The thermodynamic results show that the adsorption process of U(Ⅵ)by CS-BT aerogel is spontaneous and exothermic.Hence,our biomass aerogel can effectively extract uranium from water,contributing to the sustainable development of the nuclear industry.
基金supported by the National Natural Science Foundation of China(No.52304329)the Yunnan Fundamental Research Projects(No.202201BE070001-003),Guo Lin would like to acknowledge Xing Dian talent support program of Yunnan Province.
文摘The recovery of precious metals(PMs)from secondary resources is critical for addressing global supply-chain vulnerabilities and sustainable resource utilization.This review systematically examines the transformative potential of metal-organic frameworks(MOFs)as next-generation adsorbents for PM recovery,focusing on their synthesis,functionalization,and multiscale adsorption mechanisms.We critically analyze conventional pyrometallurgical and hydrometallurgical methods and highlight their limitations in terms of selectivity,energy consumption,and secondary pollution.In contrast,MOFs offer tunable porosity,abundant active sites,and tunable surface chemistry,enabling efficient PM capture via synergistic physical and chemical adsorption.Advanced modification techniques,including direct synthesis and post-synthetic modification,are reviewed to propose strategies for enhancing the adsorption kinetics and selectivity for Au,Ag,Pt,and Pd.Key structure-property relationships are established through multiscale characterization and thermodynamic models,revealing the critical roles of hierarchical porosity,soft donor atoms,and framework stability.Industrial challenges,such as aqueous stability and scalability,are addressed via Zr-O bond strengthening,hydrophobic functionalization,and support immobilization.This study consolidates the experimental and theoretical advances in MOF-based PM recovery and provides a roadmap for translating laboratory innovations into practical applications within the circular-economy framework.
文摘This study aims to explore the impact of combined health education and dietary guidance on the speed of postoperative recovery in patients with gastrointestinal polyps.A specific number of patients who underwent gastrointestinal polyp resection were selected and randomly divided into a control group and an experimental group.The control group received routine nursing,while the experimental group implemented combined health education and dietary guidance on this basis.By comparing the recovery indicators of the two groups,it was found that the recovery speed of the experimental group was significantly faster than that of the control group,indicating that this combined intervention method can effectively promote patient recovery.
基金supported by the National Natural Science Foundation of China grant nos.52470149(P.H.Shao)and 52125002(X.B.Luo)the National Key Research and Development Program of China grant no.2023YFC3905903(P.H.Shao)Nanchang Hangkong University Doctoral Start-up Fund grant no.EA202502100(Y.Y.Zhou).
文摘Selective extraction of precious metals from urban mines plays a crucial role in mitigating the risk of depletion of precious metal resources and reducing waste pollution.However,a major obstacle in precious metal extraction lies in the difficulty of distinguishing the subtle differences in the physicochemical characteristics between them,especially gold and palladium.Herein,a proton-driven separation system was presented for cascade recovery of gold and palladium from waste-printed circuit boards(W-PCBs)leachate using poly(amidoxime)(PAO)hydrogel.This exhibits an ultra-high capacity,extra-fast rate,and excellent selectivity for the extraction of Au(Ⅲ)and Pd(Ⅱ).Notably,the separation of Au(Ⅲ)and Pd(Ⅱ)can be achieved with high selectivity at pH=0,resulting in a remarkable separation factor of k_(Au(Ⅲ)/Pd(Ⅱ))=36.5.This was demonstrated to originate from the differential mechanism of PAO hydrogel for the capture of Au(Ⅲ)and Pd(Ⅱ)under proton-mediated conditions.Drawing inspiration from the mechanism,the proton-driven cascade recovery system demonstrates remarkable efficiency in sequentially recovering 99.92%of gold and 99.05%of palladium from W-PCBs acid leachate.This research opens up a strategy to precisely separate and recover precious metals from e-waste of urban mines.
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.
文摘The proliferation of carrier aircraft and the integration of unmanned aerial vehicles(UAVs)on aircraft carriers present new challenges to the automation of launch and recovery operations.This paper investigates a collaborative scheduling problem inherent to the operational processes of carrier aircraft,where launch and recovery tasks are conducted concurrently on the flight deck.The objective is to minimize the cumulative weighted waiting time in the air for recovering aircraft and the cumulative weighted delay time for launching aircraft.To tackle this challenge,a multiple population self-adaptive differential evolution(MPSADE)algorithm is proposed.This method features a self-adaptive parameter updating mechanism that is contingent upon population diversity,an asynchronous updating scheme,an individual migration operator,and a global crossover mechanism.Additionally,comprehensive experiments are conducted to validate the effectiveness of the proposed model and algorithm.Ultimately,a comparative analysis with existing operation modes confirms the enhanced efficiency of the collaborative operation mode.
基金supported by the National Natural Science Foundation of China(Grant Nos.52171169 and 52101210)the National Key Research and Development Program of China(Grant No.2021YFB3501204)+3 种基金the State Key Laboratory for Advanced Metals and Materials(Grant No.2023-ZD01)USTB Concept Verification Funding Project(Grant No.GNYZ-2024-6)Fundamental Research Funds for the Central Universities(Grant No.FRF-TP-24-004A)USTB Research Center for International People-to-people Exchange in Science,Technology and Civilization(Grant Nos.2024KFZD001 and 2024KFYB004)。
文摘Thermomagnetic generation(TMG),a heat-to-electricity conversion technology based on the thermomagnetic effect,offers high reliability and broad adaptability to diverse heat sources.By exploiting the temperature-dependent magnetization of thermomagnetic materials,TMG converts thermal energy into electrical energy through cyclic changes in magnetic flux based on Faraday's law.The performance of TMG systems is largely governed by the intrinsic properties of the working materials and the design of device architecture.Ideal TMG materials exhibit sharp and reversible magnetization transitions near the operating temperature,low thermal hysteresis,and high thermal conductivity.Device configurations can be broadly categorized into active and passive systems:active TMG devices rely on controlled thermal cycling and optimized magnetic circuits for enhanced output,whereas passive devices utilize self-actuated mechanical motion to generate electricity.In this topical review,we provide a comprehensive overview of recent advances in TMG materials and device configurations.Furthermore,we discuss future development trends and offer perspectives on experimental strategies to advance this field.
文摘This editorial examines the emerging potential of traditional Chinese medicine(TCM)in enhancing postoperative recovery following gastroenteroscopy,highlighted by a 2025 randomized controlled trial by Hong et al.The study,involving 120 patients,demonstrates that meridian flow injection(MFI)combined with transcutaneous electrical acupoint stimulation(TEAS)significantly improves gastrointestinal(GI)function,evidenced by a reduced time to first defecation(3.20±1.04 days vs 3.98±1.27 days,P<0.001),lowers stress biomarkers(e.g.,reduced cortisol and norepinephrine),and enhances clinical efficacy(93.33%vs 75.00%,P=0.006).Leveraging TCM’s five-element theory and Ziwu Liuzhu timing,the intervention targets key acupoints such as Zusanli(ST36)with a herbal paste comprising Qingpi,Houpu,and rhubarb,delivered transdermally to optimize bioavailability.This approach harmonizes ancient TCM principles with contemporary evidence-based practice,offering a holistic strategy to address postoperative nausea,delayed motility,and patient discomfort.Currently,integrative methods like MFI-TEAS are gaining traction,supported by recent meta-analyses that affirm TEAS’s efficacy in accelerating GI recovery across surgical contexts,including shortened times to first exhaust and defecation.This reflects a growing recognition of TCM’s role in perioperative care amidst rising global endoscopy demands.Looking forward,future research should prioritize multicenter,doubleblinded trials to enhance generalizability,adhere to standardized reporting frameworks such as CONSORT and STRICTA,and employ advanced tools like multiomics and functional magnetic resonance imaging to elucidate mechanistic pathways,including gut-brain axis modulation and microbiota-immune interactions.Such developments promise to refine these interventions,fostering a seamless integration of TCM with Western medicine and delivering tailored,patientcentered solutions to improve postoperative outcomes worldwide.
基金supported by the National Natural Science Foundation of China(Grant Nos.52025053 and 52235006)the Jilin Provincial Scientific and Technological Development Program(20220204119YY)the Natural Science Foundation of Shandong Province(ZR2023ME154)。
文摘Ceramic 4D printing,which integrates dynamic deformation with additive manufacturing,demonstrates significant potential in intelligent manufacturing,on-demand shaping of complex structures,and multifunctional device development.Its core advantage lies in endowing materials with environmentally responsive dynamic deformation capabilities.However,current technologies still face limitations in responsiveness,reversibility,and mechanical performance.To address these challenges,this study proposes a programmable ceramic precursor system based on synergistic reinforcement of phase-separating hydrogels and shape memory polymers,combined with a nano-ceramic particle enhancement strategy.Using stereolithography 3D printing,high-precision fabrication of complex structures was achieved.By adjusting precursor composition,programming time,and structural thickness,the phase-separation kinetics-driven delayed recovery mechanism was elucidated,enabling precise control over recovery onset time.Furthermore,the thermal response mechanism of the precursor materials is explored,along with their potential for multi-shape transformation in biomedical applications,which is further extended to shape memory polymer systems.By employing a layered printing strategy,the autonomous reversible deformation of ceramic precursors is realized,providing new possibilities for specific applications.
基金supported by the Joint Research Program for Ecological Conservation and High Quality Development of the Yellow River Basin(No.2022-YRUC-01-0203).
文摘Urine consists of approximately 95%water,3.5%organic matter,and 1.5%inorganic salts.Membrane distillation(MD)offers a potential approach for urine resource utilization.To some extent,it reduces the loss of nitrogen and phosphorus resources.However,MD is also accompanied by problems such as high membrane cost,membrane fouling and membrane wetting.In light of these issues,this study employs polytetrafluoroethylene(PTFE)as the separation layer and polypropylene(PP)as the support layer to make a distillation membrane.The feasibility and efficiency of the PTFE-PP membrane in intercepting and recovering nitrogen and phosphorus from source-separated urine were investigated.Results obtained through 14 days of continuous operation demonstrated that the recovery rates of nitrogen and phosphorus were 95%and 99%,respectively.The dissolved organic carbon recovery rate was 95%,and urea as well as the macromolecular organic matter in dissolved organic matter were significantly intercepted.The phosphorus content in the permeate was 0.022 mg/L,which met theⅡclass standard of China’s surface water and the basic water use standard of the United States Environmental Protection Agency.This finding reduces the pressure on sewage treatment plants.PTFE-PP distillation membrane has important potential in recovering nitrogen and phosphorus from urine and alleviating global water shortage.
文摘Improving energy efficiency and lowering negative environmental impact through waste heat recovery(WHR)is a critical step toward sustainable cement manufacturing.This study analyzes advanced cogeneration systems for recovering waste heat from the Fallujah White Cement Plant in Iraq.The novelty of this work lies in its direct application and comparative thermodynamic analysis of three distinct cogeneration cycles—the Organic Rankine Cycle,the Single-Flash Steam Cycle,and the Dual-Pressure Steam Cycle—within the Iraqi cement industry,a context that has not been widely studied.The main objective is to evaluate and compare these models to determine the most effective approach for enhancing energy and exergy efficiencies.Themethodology involved detailed thermodynamic and exergy analyses of each system,supported by mathematical modelling and simulation using data from plant operations.The results reveal that the Dual-Pressure Steam Cycle emerged as the most effective system,delivering 13.76 MW of net power with a thermal efficiency of 32.8%and an exergy efficiency of 51%.This significantly outperformed the baseline Organic Rankine Cycle(8.18MW,18.8%thermal efficiency,30.7%exergy efficiency).These findings confirm that multipressure steam cycles offer a robust and practical solution for the Fallujah plant.This application provides a clear,high-impact pathway to enhance national industrial energy efficiency,significantly reduce CO_(2) emissions,and promote clean energy sustainability in Iraq.Future work should consider economic feasibility and potential integration with renewable energy sources to further enhance sustainability.
基金Supported by the Natural Science Foundation of Guangxi Province(Grant Nos.2023GXNSFAA026067,2024GXN SFAA010521)the National Natural Science Foundation of China(Nos.12361079,12201149,12261026).
文摘Convex feasibility problems are widely used in image reconstruction, sparse signal recovery, and other areas. This paper is devoted to considering a class of convex feasibility problem arising from sparse signal recovery. We first derive the projection formulas for a vector onto the feasible sets. The centralized circumcentered-reflection method is designed to solve the convex feasibility problem. Some numerical experiments demonstrate the feasibility and effectiveness of the proposed algorithm, showing superior performance compared to conventional alternating projection methods.
基金funded by the Chilean National Agency for Research and Development(ANID)through the Beca de Doctorado Nacional 21220089.
文摘In April 2016,a moment magnitude(Mw)7.8 earthquake struck near Muisne(Pedernales),Ecuador,causing 671 fatalities,displacing>30,000 people,and generating approximately USD 3.6 billion in economic losses that severely impacted the coastal province of Manabí.Nine years later,the recovery trajectory of its principal urban centers-Pedernales,Manta,Portoviejo,and Chone-offers a critical perspective to assess adaptive resilience in earthquake-prone coastal cities of Latin America.This study conducts a regional assessment of post-earthquake recovery using the 4Rs resilience framework-robustness,redundancy,resourcefulness,and rapidity-applied across housing,health,education,infrastructure,and economic sectors.Official reports,statistical databases,and field validations collected between 2016 and 2025 provide the basis for documenting both progress and persistent challenges.The findings indicate that robustness improved with the enforcement of the Ecuadorian seismic code NEC-15 and the adoption of advanced technologies such as base isolation and supplemental damping in hospitals and high-rise buildings.Redundancy expanded selectively,being stronger in healthcare yet limited in housing and utilities.Resourcefulness varied across cities:municipal leadership and civic oversight in Manta and Portoviejo facilitated adaptive recovery,whereas Pedernales and Chone remained dependent on central agencies.Rapidity was similarly uneven;lifeline services were restored promptly,but complex projects-including hospitals,sewer systems,and residential complexes-faced delays of five to nine years.Structural assessments of 97 buildings revealed that nearly half remain without reinforcement,with recurrent deficiencies such as soft-story mecha-nisms,brittle masonry infill,and reinforcement corrosion sustaining latent seismic risk.Governance fragmen-tation,equity gaps,and insufficient monitoring thus emerged as critical barriers,underscoring the need for integrated governance,community participation,and AI-enabled monitoring to strengthen long-term disaster recovery in coastal cities.
文摘Background:In mental health,recovery is emphasized,and qualitative analyses of service users’narratives have accumulated;however,while qualitative approaches excel at capturing rich context and generating new concepts,they are limited in generalizability and feasible data volume.This study aimed to quantify the subjective life history narratives of users of psychiatric home-visit nursing using natural language processing(NLP)and to clarify the relationships between linguistic features and recovery-related indicators.Methods:We conducted audio-recorded and transcribed semi-structured interviews on daily life verbatim and collected self-report questionnaires(Recovery Assessment Scale[RAS])and clinician ratings(Global Assessment of Functioning[GAF])from Japanese users of psychiatric home-visit nursing.Using the artificial intelligence-based topic-modeling method BERTopic,we extracted topics from the interview texts and calculated each participant’s topic proportions,and then examined associations between topic proportions and recovery-related indicators using Pearson correlation analyses.Results:“School”showed a significant positive correlation with RAS(r=0.39,p=0.05),whereas“Family”showed a significant negative correlation(r=–0.46,p=0.02).GAF was positively correlated with word count(r=0.44,p=0.02)and“Hospital”(r=0.42,p=0.03),and negatively correlated with“Backchannels”(aizuchi)(r=–0.41,p=0.03).Conclusion:The present results suggest that the quantity,quality,and content of narratives can serve as useful indicators of mental health and recovery,and that objective NLP-based analysis of service users’narratives can complement traditional self-report scales and clinician ratings to inform the design of recovery-oriented care in psychiatric home-visit nursing.
基金supported in part by the NIH(R01NS113556,to KA).
文摘Carbon monoxide-from toxicity to therapeutic potential:Carbon monoxide(CO)has long been known as a toxic gas,primarily associated with environmental pollution and poisoning.Its strong affinity for hemoglobin causes the formation of carboxyhemoglobin,which reduces oxygen delivery to the tissues and organs and leads to hypoxia.Despite its well-documented toxicity,previous studies have confirmed that CO also acts as a signaling molecule in the body and plays important physiological roles(Motterlini and Otterbein,2010).
基金supported by the National Natural Science Foundation of China(Nos.62025203 and 62372419).
文摘Training large-scale deep neural networks(DNNs)is prone to software and hardware failures,with critical failures often requiring full-machine reboots that substantially prolong training.Existing checkpoint-recovery solutions either cannot tolerate such critical failures or suffer from slow checkpointing and recovery due to constrained input/output bandwidth.In this paper,we propose FastCheck,a checkpoint-recovery framework that accelerates checkpointing and recovery through parallel transmission and tailored compression.First,FastCheck partitions checkpoints into shards and leverages multiple nodes for parallel checkpointing and recovery.Second,it further reduces checkpoint size and overhead with delta compression for weights and index compression for momentum.Third,FastCheck employs lightweight and consistent health status maintenance that accurately tracks node health,preventing checkpoint transmission to failed nodes.We implement FastCheck in PyTorch and evaluate it on multiple DNN models against two baselines.Experimental results show that FastCheck reduces the checkpointing time by up to 78.42%and the recovery time by up to 77.41%,while consistently improving efficiency across different training stages.
基金financially supported by the National Natural Science Foundation of China (No.51972302)。
文摘The recovery of gold from waste electronic and electric equipment(WEEE) has gained great attention with the increased number of WEEE,because it can largely alleviate the pressure on the environment and resources.Covalent organic frameworks(COFs) are ideal adsorbents for gold recovery owing to their large surface area,good stability,easily functionalized ability,periodic structures,and definitive nanopores.Herein,a cyano-functionalized COF(COF-CN) with high crystallinity was large-scale prepared under mild conditions for the recovery of gold.The introduction of cyano groups enable COF-CN to exhibit excellent gold recovery performance,which possesses fast adsorption kinetics,high cycling stability,and adsorption capacity up to 663.67 mg/g.Excitingly,COF-CN showed extremely high selectivity for gold ions,even in the presence of various competing cations and anions.The COF-CN maintained excellent selectivity and removal efficiency in gold recovery experiments from WEEE.The facile synthesis of COF-CN and its outstanding selectivity in actual samples make it an attractive opportunity for practical gold recovery.
基金supported by National Natural Science Foundation of China(51977111)the Six Talent Peaks High-level Talent Project in Jiangsu Province(XNY-025)the Special Fund of Jiangsu Province for Transformation of Scientific and Technological Achievements(BA2019045).
文摘Inertial response control(IRC)makes variable-speed wind turbine generators(WTGs)provide short-term frequency support during contingencies by releasing the kinetic energy stored in wind turbine rotors.When frequency support is terminated,the rotor speed should be restored to optimum for maximum power point tracking(MPPT).Existing IRCs utilize rotor speed recovery(RSR)strategies with a consistent power reference function.However,under real turbulent wind with alternate gusts and lulls,the consistent power reference function may fail to restore rotor speed or cause unexpected secondary frequency drop(SFD).In this regard,this paper proposes a novel adaptive RSR strategy that not only restores rotor speed via the aerodynamic power enhanced by wind gusts,but also stabilizes the turbine at wind lulls by tracking a suboptimal power curve.Experiments on a wind power-integrated power system testbed validate the proposed RSR strategy can successfully restore rotor speed while attenuating SFD under turbulent wind.
基金supported by the National Natural Science Foundation of China(Nos.52170083 and 12305352)the Science and Technology Innovation Program of Hunan Province(No.2022RC1125).
文摘Simultaneous uranium recovery,organic pollutant degradation,and electricity generation were achieved by employing a self-driven photoelectrochemical(PEC)system equipped with a modified carbon felt(MCF)cathode for the treatment of complex radioactive wastewater.The MCF cathode was synthesized via a facile hydrothermal method,which modified the surface functional groups on carbon felt(CF)with enhanced active site availability and facilitated interfacial charge transfer,thus improving its UO_(2)^(2+)adsorption and reduction capacities.The self-driven PEC system with the MCF cathode demonstrated remarkable removal efficiencies and rate constants(k)for UO_(2)^(2+)(98.8%and 0.111 min^(−1))and chlortetracycline hydrochloride(CTC)(92.9%and 0.028 min^(−1))within 40 min and 90 min,respectively,coupled with an excellent power output of 1.41 mW/cm^(2).Additionally,the system with the MCF cathode exhibited superior removal performance for UO_(2)^(2+)and CTC in treating model complex wastewater under wide conditions.Even under natural sunlight,the system achieved over 80%removal efficiency for both UO_(2)^(2+)and CTC.Moreover,the uranium immobilized on the MCF cathode was mainly reduced to U(Ⅳ)species(90.51%),and performance remained robust over ten operational cycles.The cathode surface modification strategy and its application in the system provide a cost-effective,multi-functional and high-efficiency approach to controlling nuclides and organic pollutants in complex radioactive wastewater.
