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Next-generation craniomaxillofacial implants for reconstructive surgery: balancing biomechanics,biocompatibility,and bioactivity 认领 引用
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作者 Bozhi Hou Yuehua Li Raymond Chung Wen Wong 《International Journal of Oral Science》 SCIE CAS CSCD 2026年第1期1-17,共17页
Next-generation craniomaxillofacial implants(CMFIs) are redefining personalized bone reconstruction by balancing and optimizing biomechanics,biocompatibility,and bioactivity—the "3Bs".This review highlights... Next-generation craniomaxillofacial implants(CMFIs) are redefining personalized bone reconstruction by balancing and optimizing biomechanics,biocompatibility,and bioactivity—the "3Bs".This review highlights recent progress in implant design,material development,additive manufacturing,and preclinical evaluation.Emerging biomaterials,including bioresorbable polymers,magnesium alloys,and composites with bioactive ceramics,enable patient-specific solutions with improved safety and functionality.Triply periodic minimal surface(TPMS) architectures exemplify how structural design can enhance both mechanical performance and biological integration.Additive manufacturing technologies further allow the fabrication of geometrically complex,customized impla nts that meet individual anatomical and pathological needs.In parallel,multiscale evaluation techniques—from mechanical testing to in vitro and in vivo models—provide comprehensive insights into implant performance and safety.Looking ahead,the field is poised to benefit from several transformative trends:the development of smart and multifunctional biomaterials;Al-driven design frameworks that leverage patient-specific data and computational modeling;predictive additive manufacturing with real-time quality control;and advanced biological testing platforms for preclinical evaluation.Together,these advances form the foundation of a data-informed,translational pipeline from bench to bedside.Realizing the full potential of nextgene ration CMFIs will require close interdisciplina ry collaboration across mate rials science,computational engineering,and clinical medicine. 展开更多
关键词 bioresorbable polymersmagnesium alloysand biocompatibility next generation craniomaxillofacial implants craniomaxillofacial implants cmfis periodic mini balancing optimizing biomechanics bioactive ceramicsenable
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Enhancing IoMT Network Threat Detection with Data Balancing for Multi-Class Attack Classification on CICIoMT2024 Dataset 认领 引用
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作者 Taghreed Alkhodaidi Wadee Alhalabi Miada Almasre 《Computers, Materials & Continua》 SCIE EI 2026年第8期2072-2111,共40页
The rapid growth of the IoMT has resulted in critical security threats to healthcare infrastructure,which require highly sophisticated IDSs that can detect a wide range of and unbalanced attack patterns.This study has... The rapid growth of the IoMT has resulted in critical security threats to healthcare infrastructure,which require highly sophisticated IDSs that can detect a wide range of and unbalanced attack patterns.This study has addressed a critical challenge faced by network security data,which is class imbalance,by presenting a comprehensive evaluation of data balancing techniques on both a real-world standard data set,CICIoMT2024,and a synthetic data set,SynIoMT2026,which we generated to mimic the characteristics of the standard data set for developing a highly controlled data set.Three data balancing techniques,ADASYN,Sample Weighting,and a hybrid technique involving both SMOTE and SMOTEEN,were systematically applied and evaluated on the severely class-imbalanced data set,wherein the majority classes,such as DDoS_UDP with∼2M instances,far outweigh the minority classes,such as Recon_Ping_Sweep with 926 instances.The balanced data sets were used to train and evaluate a range of ML models,including random forest,AdaBoost,logistic regression,and DNN models for binary classification,6-class classification,and 19-class classification.The proposed method achieved outstanding results,with 99.8%model accuracy achieved for binary classification.The results of the evaluation have demonstrated the robustness of the random forest algorithm,which showed accuracy ranging from 97%to 99%in all scenarios.The results have demonstrated the potential of strategic balancing in unlocking the potential of the model,especially in the results obtained from the AdaBoost model,where the SMOTE-SMOTEEN technique showed a significant increase in accuracy in 6-class classification from 69.8%to 91.6%,and even more dramatic results in 19-class classification,increasing accuracy from 23.6%to 51.9%.This has demonstrated the need to select the optimal balancing technique to unlock the potential of the model.The results have also demonstrated high accuracy in the SynIoMT2026 synthetic dataset,showing 99%accuracy in training,covering six categories,and 89%accuracy in nineteen categories,with minimal overhead.This study has demonstrated the viability of using synthetic datasets in model development and has provided a balanced dataset that has been tested in both real-world and synthetic environments. 展开更多
关键词 IoMT SMOTE data balancing cybersecurity machine learning ADASYN sample weighting IDS
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Effective Data Balancing and Fine-Tuning Techniques for Medical sLLMs in Resource-Constrained Domains 认领 引用
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作者 Seohyun Yoo Joonseo Hyeon Jaehyuk Cho 《Computers, Materials & Continua》 SCIE EI 2026年第6期637-657,共21页
Despite remarkable advances in medical large language models(LLMs),their deployment in real clinical settings remains impractical due to prohibitive computational requirements and privacy regulations that restrict clo... Despite remarkable advances in medical large language models(LLMs),their deployment in real clinical settings remains impractical due to prohibitive computational requirements and privacy regulations that restrict cloud-based solutions.Small LLMs(sLLMs)offer a promising alternative for on-premise deployment,yet they require domain-specific fine-tuning that still exceeds the hardware capacity of most healthcare institutions.Furthermore,the impact of multilingual data composition on medical sLLM performance remains poorly understood.We present a resource-efficient fine-tuning pipeline that integrates Quantized Low-Rank Adaptation(QLoRA),Fully Sharded Data Parallelism(FSDP),and Sequence Packing,validated across two model scales:MedGemma 4B for efficiency analysis and LLaMA 3.370B for data balance experiments.Our approach achieves 58.3%reduction in video random access memory(VRAM)usage(from 48 GB to 20 GB)and 5×training speedup on MedGemma 4B using NVIDIA L40s GPUs.Critically,experiments on LLaMA 3.370B reveal that English-heavy data mixing(10:3 ratio)degrades Korean medical law performance by 1.23 percentage points while providing only marginal English gains(+1.49 pp),demonstrating catastrophic forgetting in multilingual medical fine-tuning.Our work provides three contributions:(1)a practical fine-tuning pipeline operable within 20 GB VRAM,(2)empirical evidence that data balance—not volume—determines multilingual medical QA performance,and(3)actionable guidelines for deploying medical sLLMs in non-English clinical environments. 展开更多
关键词 Medical LLM sLLM QLoRA FSDP sequence packing data balancing efficient fine-tuning
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Balancing mitochondrial health through inter-tissue neurotransmitter signaling 认领 引用
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作者 Rebecca Cornell Roger Pocock 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第9期4263-4264,共2页
The ongoing health of our bodies is dependent on maintaining a balance between sympathetic and parasympathetic tone.These two branches of the autonomic nervous system work in concert to maintain homeostasis,protect th... The ongoing health of our bodies is dependent on maintaining a balance between sympathetic and parasympathetic tone.These two branches of the autonomic nervous system work in concert to maintain homeostasis,protect the body against threats,and respond to internal and external stressors.As such,the appropriate and regulated activation of these systems is essential for maintaining health.The concept of balancing excitatory and inhibitory signals is conserved across species to the nematode Caenorhabditis elegans(C.elegans). 展开更多
关键词 inter tissue neurotransmitter signaling sympathetic tone autonomic nervous system mitochondrial health balancing excitatory inhibitory signals maintain homeostasisprotect caenorhabditis elegans appropriate regulated activation systems
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Rational design of planar lamellar energetic crystals via intermolecular interaction engineering: Synergistic mechanisms for balancing energy and safety 认领 引用
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作者 Rupeng Bu 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第3期280-299,共20页
Energetic materials face critical challenges in balancing energy density and safety,driving the development of low-sensitivity high-energy materials.Though vital for modern defense and civilian applications,low-sensit... Energetic materials face critical challenges in balancing energy density and safety,driving the development of low-sensitivity high-energy materials.Though vital for modern defense and civilian applications,low-sensitivity high-energy materials remain scarce,with 1,3,5-trinitro-2,4,6-triaminobenzene as the only deployed example.Planar lamellar energetic crystals,which utilize weak interlamellarπ-πstacking for mechanical energy dissipation,have shown significant promise.However,their rational design is constrained by insufficient understanding of intermolecular interaction synergy.This review synthesizes the structural features of planar lamellar energetic crystals,emphasizing three core elements:the single-atomic-thickness planar stacking architecture,the"strong intralamellar and weak interlamellar interaction"paradigm(key to balancing energy density and safety for low-sensitivity high-energy materials,LSHEMs),and the role of molecular planarity in reducing shear slip barriers.It categorizes design strategies into two frameworks:H–bonding dominated(single-component:cross-shaped assembly,strong H–bonding in high symmetric molecules;multi-component methods:tenon-and-mortise,acceptor-donor separation)and other intermolecular interactions(e.g.,π-πstacking-drivenπ-π2max model,π-hole recognition).Case studies in single/multi-component crystals confirm that these strategies tune interaction synergy to achieve target packing motifs.The review highlights that interaction engineering is pivotal for PLEC design,offering a targeted theoretical framework for rational development of LSHEMs(to address the scarcity of practical LSHEMs)and guiding future crystal engineering for energy-safety balanced systems. 展开更多
关键词 Planar lamellar energetic crystals Intermolecular interactions Crystal packing Energy-safety balance Crystal engineering
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Pyrolysis-Engineered Fe/Mn-ZIF Catalysts:Balancing Activity,Selectivity,and Stability for the Oxygen Reduction Reaction 认领 引用 被引量：1
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作者 Haoran Ma Lili Cao +5 位作者 Hongxuan Tang Jiansheng Liu Yi Shao Jianing Ma Zhanli Chai Yan Zhao 《Rare Metals》 SCIE EI CAS CSCD 2026年第4期618-628,共11页
Metal oxide-based catalysts for oxygen reduction reaction(ORR)have drawn great attention in recent years.However,it remains technically challenging for the precise regulation of the overall performance due to the trad... Metal oxide-based catalysts for oxygen reduction reaction(ORR)have drawn great attention in recent years.However,it remains technically challenging for the precise regulation of the overall performance due to the trade-off effect among the activity,selectivity,and stability of electrocatalysts.Herein,a balancing strategy to control the evolution of surface oxygen species of iron/manganese based zeolitic imidazolate framework(Fe/Mn-ZIF)has been proposed by tuning the pyrolysis temperature and heating rates.In alkaline electrolyte,the Mn-doped Fe3C nanoparticles(NPs)tightly encapsulated in nitrogen-doped carbon nanotubes(FMC-NC,260-370℃at 10℃min-1)display direct 4e-pathway with higher ORR activity(E1/2=0.84 V),lower H2O2 selectivity(4.73%),and excellent durability(88.0%after 6 h).The Mn-doped Fe3C NPs encapsulated in larger-sized nitrogen-doped carbon nanotubes(FM-NC,at 3℃min-1)shows a higher half-wave potential(E1/2=0.87 V)but poorer stability(54.8%after 6 h),and FMC-NC mixed with Fe-doped MnOOH(FMO-NC,460-650℃at 10℃min-1)follows a 2e- ORR pathway with only a superior 2e- ORR selectivity(94.9%).The performance of FMC-NC electrocatalyst surpasses most of the reported Febased and carbon-based electrocatalysts in 0.1 M KOH electrolyte.In situ heating electron microscopy analysis shows the evolution process of the surface/adsorbed oxygen and metals in different temperature ranges,which enables the effective control of the products via differential pyrolysis.Theoretical calculations and in situ spectra demonstrate that FMC-NC sample has a strong metal-support interaction confirming the optimal balance among activity,stability,and selectivity for ORR.This work not only provides an ORR electrocatalyst with outstanding performance but also proposes a balancing strategy to control the evolution of surface oxygen species. 展开更多
关键词 electrocatalyst metal‑organic frameworks oxygen reduction reaction performance balance pyrolysis engineering
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A novel rotor dynamic balancing method based on blade tip clearance measurement without the once per revolution sensor 认领 引用 被引量：2
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作者 Weibo LI Weimin WANG +3 位作者 Shuai ZHANG Jiale WANG Yulong LIN Tianqing LI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第2期445-458,共14页
The existence of the aeroengine casing,limited monitoring points,and multi-fault characteristics make obtaining the rotor’s vibration transmission characteristics challenging,resulting in difficulties accurately iden... The existence of the aeroengine casing,limited monitoring points,and multi-fault characteristics make obtaining the rotor’s vibration transmission characteristics challenging,resulting in difficulties accurately identifying the rotor unbalance.This paper utilizes a high-frequency composite sensor to monitor the engine’s blade tip clearance(BTC)and extracts unbalanced information from BTC signals for rotor dynamic balancing,while avoiding the need for the once per revolution(OPR)sensor.First,the vibration characteristics of the rotor-blade system under multi-fault conditions are investigated.Then,based on BTC measurement,a none OPR method and an unbalance identification method are proposed,in which the radial vibration of the blade tip in the BTC signals at different speeds is extracted and operated in the time domain to obtain the rotor unbalanced vibration,the signal is reconstructed,and cross-correlation analysis is used to accurately identify the magnitude and phase of the unbalanced signal.Finally,a rotor test bench is utilized for experimental verification.The results reveal that the dynamic balancing method based on the BTC signal can more precisely identify the rotor unbalance than the traditional rotor dynamic balancing method.The application of this technique will effectively improve engine health management and fault prediction. 展开更多
关键词 Aeroengine Rotor unbalance Composite sensor None once per revolution Blade tip clearance Dynamic balancing
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Retrofitting Design of a Deep Drilling Rig Mud Pump Load Balancing System 认领 引用 被引量：1
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作者 Danijel Pavkovic Pietro Kristovic +1 位作者 Mihael Cipek Dragutin Lisjak 《Energy Engineering》 EI 2025年第5期1669-1696,共28页
In deep drilling applications,such as those for geothermal energy,there are many challenges,such as those related to efficient operation of the drilling fluid(mud)pumping system.Legacy drilling rigs often use paired,p... In deep drilling applications,such as those for geothermal energy,there are many challenges,such as those related to efficient operation of the drilling fluid(mud)pumping system.Legacy drilling rigs often use paired,parallel-connected independent-excitation direct-current(DC)motors for mud pumps,that are supplied by a single power converter.This configuration results in electrical power imbalance,thus reducing its efficiency.This paper investigates this power imbalance issue in such legacy DC mud pump drive systems and offers an innovative solution in the form of a closed-loop control system for electrical load balancing.The paper first analyzes the drilling fluid circulation and electrical drive layout to develop an analytical model that can be used for electrical load balancing and related energy efficiency improvements.Based on this analysis,a feedback control system(so-called“current mirror”control system)is designed to balance the electrical load(i.e.,armature currents)of parallel-connected DC machines by adjusting the excitation current of one of the DC machines,thus mitigating the power imbalance of the electrical drive.Theproposed control systemeffectiveness has been validated,first through simulations,followed by experimental testing on a deep drilling rig during commissioning and field tests.The results demonstrate the practical viability of the proposed“current mirror”control system that can effectively and rather quickly equalize the armature currents of both DC machines in a parallel-connected electrical drive,and thus balance both the electrical and mechanical load of individual DC machines under realistic operating conditions of the mud pump electrical drive. 展开更多
关键词 Deep drilling mud pump electrical load balancing direct current motor excitation control armature current mirroring field tests
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Bi-level optimization of regional virtual power plants based on balancing group mechanism 认领 引用
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作者 hangwei Wu Heping Jia +2 位作者 Lianjun Shi Dunnan Liu Zhenglin Yang 《Global Energy Interconnection》 EI CSCD 2025年第6期931-946,共16页
Given the power system balancing challenges induced by high-penetration renewable energy integration,this study systematically reviews international balancing mechanism practices and conducts an in-depth deconstructio... Given the power system balancing challenges induced by high-penetration renewable energy integration,this study systematically reviews international balancing mechanism practices and conducts an in-depth deconstruction of Germany’s balancing group mechanism(BGM).Building on this foundation,this research pioneers the integration of virtual power plants(VPPs)with the BGM in the Chinese context to overcome the limitations of traditional single-entity regulation models in flexibility provision and economic efficiency.A balancing responsibility framework centered on VPPs is innovatively proposed and a regional multi-entity collaboration and bi-level responsibility transfer architecture is constructed.This architecture enables cross-layer coordinated optimization of regional system costs and VPP revenues.The upper layer minimizes regional operational costs,whereas the lower layer enhances the operational revenues of VPPs through dynamic gaming between deviation regulation service income and penalty costs.Compared with traditional centralized regulation models,the proposed method reduces system operational costs by 29.1%in typical regional cases and increases VPP revenues by 24.9%.These results validate its dual optimization of system economics and participant incentives through market mechanisms,providing a replicable theoretical paradigm and practical pathway for designing balancing mechanisms in new power systems. 展开更多
关键词 Balancing mechanism Balancing responsible party Bi-level optimization Operation mode Virtual power plant
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The Prospects of ASEAN’s Major Power Balancing Strategy Under the Impact of Trump 2.0 认领 引用
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作者 Zhai Kun 《Contemporary World》 2025年第2期9-13,共5页
ASEAN’s major power balancing strategy refers to the balancing strategy adopted by ASEAN and its member states to seek national and regional security and development by maintaining multi-faceted friendship and impart... ASEAN’s major power balancing strategy refers to the balancing strategy adopted by ASEAN and its member states to seek national and regional security and development by maintaining multi-faceted friendship and impartiality with surrounding major powers.The evolution of this strategy is a process of dynamic adjustment,with ASEAN and its members being the implementing subjects,major powers the objects. 展开更多
关键词 multi faceted friendship regional security national security development ASEAN major power balancing Trump balancing strategy
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Artificial intelligence enhanced edge server placement for workload balancing and energy efficiency in B5G networks 认领 引用
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作者 Vaibhav Tiwari Chandrasen Pandey +4 位作者 Shamila J.Francis Ishan Budhiraja Pronaya Bhattacharya Zhu Zhu Thippa Reddy Gadekallu 《Digital Communications and Networks》 SCIE EI CSCD 2025年第6期1951-1960,共10页
The Internet of Things(IoT)and allied applications have made real-time responsiveness for massive devices over the Internet essential.Cloud-edge/fog ensembles handle such applications'computations.For Beyond 5 th ... The Internet of Things(IoT)and allied applications have made real-time responsiveness for massive devices over the Internet essential.Cloud-edge/fog ensembles handle such applications'computations.For Beyond 5 th Generation(B5G)communication paradigms,Edge Servers(ESs)must be placed within Information Communication Technology infrastructures to meet Quality of Service requirements like response time and resource utilisation.Due to the large number of Base Stations(BSs)and ESs and the possibility of significant variations in placing the ESs within the IoTs geographical expanse for optimising multiple objectives,the Edge Server Placement Problem(ESPP)is NP-hard.Thus,stochastic evolutionary metaheuristics are natural.This work addresses the ESPP using a Particle Swarm Optimization that initialises particles as BS positions within the geography to maintain the workload while scanning through all feasible sets of BSs as an encoded sequence.The Workload-Threshold Aware Sequence Encoding(WTASE)Scheme for ESPP provides the number of ESs to be deployed,similar to existing methodologies and exact locations for their placements without the overhead of maintaining a prohibitively large distance matrix.Simulation tests using open-source datasets show that the suggested technique improves ESs utilisation rate,workload balance,and average energy consumption by 36%,17%,and 32%,respectively,compared to prior works. 展开更多
关键词 Mobile edge computing Evolutionary optimization 6G Edge server placement Load balancing Performance evaluation
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Hypothalamic lipidomics reveals that AMPK-FA metabolism mediates the energy-balancing effect of the four typical“hot”herbs on hypothyroidism 认领 引用
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作者 Yangyang Wang Yizhou Rong +3 位作者 Liangce Chen Qi Cui Haixue Kuang Bo Yang 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2025年第4期876-878,共3页
That herbs with the"hot"property used to treat"cold"syndromes is a guiding principle of clinical prescription and medication in traditional Chinese medicine(TCM).However,this theory of TCM is still... That herbs with the"hot"property used to treat"cold"syndromes is a guiding principle of clinical prescription and medication in traditional Chinese medicine(TCM).However,this theory of TCM is still in the‘black box'stage,and few in-depth studies have examined the biological mechanisms underpinning the hot properties of herbs. 展开更多
关键词 biological mechanisms hypothalamic lipidomics AMPK hypothyroidism hot herbs traditional chinese medicine tcm howeverthis traditional Chinese medicine energy balancing effect
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Hybrid Spotted Hyena and Whale Optimization Algorithm-Based Dynamic Load Balancing Technique for Cloud Computing Environment 认领 引用
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作者 N Jagadish Kumar R Praveen +1 位作者 D Selvaraj D Dhinakaran 《China Communications》 SCIE EI CSCD 2025年第8期206-227,共22页
The uncertain nature of mapping user tasks to Virtual Machines(VMs) causes system failure or execution delay in Cloud Computing.To maximize cloud resource throughput and decrease user response time,load balancing is n... The uncertain nature of mapping user tasks to Virtual Machines(VMs) causes system failure or execution delay in Cloud Computing.To maximize cloud resource throughput and decrease user response time,load balancing is needed.Possible load balancing is needed to overcome user task execution delay and system failure.Most swarm intelligent dynamic load balancing solutions that used hybrid metaheuristic algorithms failed to balance exploitation and exploration.Most load balancing methods were insufficient to handle the growing uncertainty in job distribution to VMs.Thus,the Hybrid Spotted Hyena and Whale Optimization Algorithm-based Dynamic Load Balancing Mechanism(HSHWOA) partitions traffic among numerous VMs or servers to guarantee user chores are completed quickly.This load balancing approach improved performance by considering average network latency,dependability,and throughput.This hybridization of SHOA and WOA aims to improve the trade-off between exploration and exploitation,assign jobs to VMs with more solution diversity,and prevent the solution from reaching a local optimality.Pysim-based experimental verification and testing for the proposed HSHWOA showed a 12.38% improvement in minimized makespan,16.21% increase in mean throughput,and 14.84% increase in network stability compared to baseline load balancing strategies like Fractional Improved Whale Social Optimization Based VM Migration Strategy FIWSOA,HDWOA,and Binary Bird Swap. 展开更多
关键词 cloud computing load balancing Spotted Hyena Optimization Algorithm(SHOA) throughput Virtual Machines(VMs) Whale Optimization Algorithm(WOA)
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MLB-TR: Multi-Service Load Balancing Routing Algorithm for Traffic Return in Integrated Satellite-Terrestrial Networks 认领 引用
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作者 Liu Chang Zhang Jiaxin +2 位作者 Chang Zhaoyang Zhang Xing Wang Wenbo 《China Communications》 SCIE EI CSCD 2025年第10期60-71,共12页
In recent years,load balancing routing al-gorithms have been extensively studied in satellite net-works.Most existing studies focus on path selection and hop-count optimization for end-to-end transmis-sion,while overl... In recent years,load balancing routing al-gorithms have been extensively studied in satellite net-works.Most existing studies focus on path selection and hop-count optimization for end-to-end transmis-sion,while overlooking congestion issues on feeder links caused by the limited number and centralized distribution of ground stations.Hence,a multi-service routing algorithm called the Multi-service Load Bal-ancing Routing Algorithm for Traffic Return(MLB-TR)is proposed.Unlike traditional approaches,MLB-TR aims to achieve a broader and more comprehensive load balancing objective.Specifically,based on the service type,an appropriate landing satellite is first selected by considering factors such as shortest path hop count and satellite load.Then,a set of candidate paths from the source satellite to the selected landing satellite is computed.Finally,using the regional load balancing index as the optimization objective,the final transmission path is selected from the candidate path set.Simulation results show that the proposed algo-rithm outperforms the existing works. 展开更多
关键词 integrated satellite-terrestrial network landing satellites load balancing traffic return
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Balancing Acid and Diffusion Properties in Hierarchical Catalysts for Efficient Selective Hydrogenation of Oleic Acid 认领 引用
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作者 Jinlin Mei Jia Liu +7 位作者 Shaotong Song Zhentao Liu Zhengkai Cao Xiaoyang Kong Chunya Wang Xiaochun Zhu Chunming Xu Xilong Wang 《Carbon and Hydrogen》 SCIE CAS CSCD 2025年第2期191-201,共11页
Hierarchical Ni/ZSM-22-SBA-15 meso-microporous catalysts(Ni/ZS-x)with different acid properties and diffusion characteristics(acid-diffusion)properties were synthesized successfully and applied to the production of hi... Hierarchical Ni/ZSM-22-SBA-15 meso-microporous catalysts(Ni/ZS-x)with different acid properties and diffusion characteristics(acid-diffusion)properties were synthesized successfully and applied to the production of high-quality jet fuel by the efficient one-step hydrogenation(hydrodeoxygenation,isomerization,and cracking)of oleic acid.The acid-diffusion properties of the catalysts are modulated by tuning the ZSM-22 seed content,and their effects on the hydrogenation reactions were investigated.Acid properties affect the extent of isomerization and cleavage reactions,whereas diffusion properties affect the accessibility of active centers.The balanced acid-diffusion properties are conducive to efficient hydrogenation reactions of oleic acid.The optimal Ni/ZS-3 exhibits the highest jet fuel yield(56.3%,340°C)and superior iso-alkane ratio(i=3.12)because of its well-balanced acid-diffusion properties.Besides,the possible hydrogenation mechanism of oleic acid is proposed. 展开更多
关键词 acid-diffusion balance bio-jet fuel hierarchical catalysts oleic acid selective hydrogenation
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Pliable Fraction Repetition Codes for Access-balancing in Distributed Storage 认领 引用
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作者 LI Yueting 《数学进展》 CSCD 北大核心 2025年第1期73-84,共12页
Fraction repetition(FR)codes are integral in distributed storage systems(DSS)with exact repair-by-transfer,while pliable fraction repetition codes are vital for DSSs in which both the per-node storage and repetition d... Fraction repetition(FR)codes are integral in distributed storage systems(DSS)with exact repair-by-transfer,while pliable fraction repetition codes are vital for DSSs in which both the per-node storage and repetition degree can easily be adjusted simultaneously.This paper introduces a new type of pliable FR codes,called absolute balanced pliable FR(ABPFR)codes,in which the access balancing in DSS is considered.Additionally,the equivalence between pliable FR codes and resolvable transversal packings in combinatorial design theory is presented.Then constructions of pliable FR codes and ABPFR codes based on resolvable transversal packings are presented. 展开更多
关键词 distributed storage system pliable fraction repetition code access balancing resolvable transversal packing
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DEF-based energy consumption balancing optimization for LEO satellite networks 认领 引用
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作者 DI Hang DONG Tao +1 位作者 LIU Zhihui JIN Shichao 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2025年第4期922-931,共10页
In low Earth orbit(LEO)satellite networks,on-board energy resources of each satellite are extremely limited.And with the increase of the node number and the traffic transmis-sion pressure,the energy consumption in the... In low Earth orbit(LEO)satellite networks,on-board energy resources of each satellite are extremely limited.And with the increase of the node number and the traffic transmis-sion pressure,the energy consumption in the networks presents uneven distribution.To achieve energy balance in networks,an energy consumption balancing optimization algorithm of LEO networks based on distance energy factor(DEF)is proposed.The DEF is defined as the function of the inter-satellite link dis-tance and the cumulative network energy consumption ratio.According to the minimum sum of DEF on inter-satellite links,an energy consumption balancing algorithm based on DEF is pro-posed,which can realize dynamic traffic transmission optimiza-tion of multiple traffic services.It can effectively reduce the energy consumption pressure of core nodes with high energy consumption in the network,make full use of idle nodes with low energy consumption,and optimize the energy consumption dis-tribution of the whole network according to the continuous itera-tions of each traffic service flow.Simulation results show that,compared with the traditional shortest path algorithm,the pro-posed method can improve the balancing performance of nodes by 75%under certain traffic pressure,and realize the optimiza-tion of energy consumption balancing of the whole network. 展开更多
关键词 low Earth orbit(LEO)satellite networks distance energy factor(DEF) energy consumption balancing flow trans-mission optimization.
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Optimal Design of Novel Electromagnetic-Ring Active Balancing Actuator with Radial Excitation 认领 引用 被引量：10
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作者 Xin Pan Xiaotian He +3 位作者 Haiqi Wu Chuanlong Ju Zhinong Jiang Jinji Gao 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2021年第1期142-155,共14页
Imbalance vibration is a typical failure mode of rotational machines and has significant negative effects on the efficiency,accuracy,and service life of equipment.To automatically reduce the imbalance vibration during... Imbalance vibration is a typical failure mode of rotational machines and has significant negative effects on the efficiency,accuracy,and service life of equipment.To automatically reduce the imbalance vibration during the operational process,different types of active balancing actuators have been designed and widely applied in actual production.However,the existing electromagnetic-ring active balancing actuator is designed based on an axial excitation structure which can cause structural instability and has low electromagnetic driving efficiency.In this paper,a novel radial excitation structure and the working principle of an electromagnetic-ring active balancing actuator with a combined driving strategy are presented in detail.Then,based on a finite element model,the performance parameters of the actuator are analyzed,and reasonable design parameters are obtained.Self-locking torque measurements and comparative static and dynamic experiments are performed to validate the self-locking torque and driving efficiency of the actuator.The results indicate that this novel active balancing actuator has sufficient self-locking torque,achieves normal step rotation at 2000 r/min,and reduces the driving voltage by 12.5%.The proposed novel balancing actuator using radial excitation and a combination of permanent magnets and soft-iron blocks has improved electromagnetic efficiency and a more stable and compact structure. 展开更多
关键词 Rotational machines Imbalance vibration control Active balancing Balancing actuator Finite element analysis
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Exploring the Interpretability of Forecasting Models for Energy Balancing Market 认领 引用
19
作者 Oskar VÅLE Shiliang ZHANG +1 位作者 Sabita MAHARJAN Gro KlÆBOE 《Artificial Intelligence Science and Engineering》 2025年第4期295-306,共12页
The balancing market in the energy sector plays a critical role in physically and financially balancing the supply and demand.Modeling dynamics in the balancing market can provide valuable insights and prognosis for p... The balancing market in the energy sector plays a critical role in physically and financially balancing the supply and demand.Modeling dynamics in the balancing market can provide valuable insights and prognosis for power grid stability and secure energy supply.While complex machine learning models can achieve high accuracy,their“blackbox”nature severely limits the model interpretability.In this paper,we explore the trade-off between model accuracy and interpretability for the energy balancing market.Particularly,we take the example of forecasting manual frequency restoration reserve(mFRR)activation price in the balancing market using real market data from different energy price zones.We explore the interpretability of mFRR forecasting using two models:extreme gradient boosting(XGBoost)machine and explainable boosting machine(EBM).We also integrate the two models,and we benchmark all the models against a baseline naive model.Our results show that EBM provides forecasting accuracy comparable to XGBoost while yielding a considerable level of interpretability.Our analysis also underscores the challenge of accurately predicting the mFRR price for the instances when the activation price deviates significantly from the spot price.Importantly,EBM's interpretability features reveal insights into non-linear mFRR price drivers and regional market dynamics.Our study demonstrates that EBM is a viable and valuable interpretable alternative to complex black-box AI models in the forecast for the balancing market. 展开更多
关键词 explainable AI model interpretability energy balancing market mFRR activation price forecasting
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Novel Models and Algorithms of Load Balancing for Variable-structured Collaborative Simulation under HLA/RTI 认领 引用 被引量：4
20
作者 YUE Yingchao FAN Wenhui +1 位作者 XIAO Tianyuan MA Cheng 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2013年第4期629-640,共12页
High level architecture(HLA) is the open standard in the collaborative simulation field. Scholars have been paying close attention to theoretical research on and engineering applications of collaborative simulation ba... High level architecture(HLA) is the open standard in the collaborative simulation field. Scholars have been paying close attention to theoretical research on and engineering applications of collaborative simulation based on HLA/RTI, which extends HLA in various aspects like functionality and efficiency. However, related study on the load balancing problem of HLA collaborative simulation is insufficient. Without load balancing, collaborative simulation under HLA/RTI may encounter performance reduction or even fatal errors. In this paper, load balancing is further divided into static problems and dynamic problems. A multi-objective model is established and the randomness of model parameters is taken into consideration for static load balancing, which makes the model more credible. The Monte Carlo based optimization algorithm(MCOA) is excogitated to gain static load balance. For dynamic load balancing, a new type of dynamic load balancing problem is put forward with regards to the variable-structured collaborative simulation under HLA/RTI. In order to minimize the influence against the running collaborative simulation, the ordinal optimization based algorithm(OOA) is devised to shorten the optimization time. Furthermore, the two algorithms are adopted in simulation experiments of different scenarios, which demonstrate their effectiveness and efficiency. An engineering experiment about collaborative simulation under HLA/RTI of high speed electricity multiple units(EMU) is also conducted to indentify credibility of the proposed models and supportive utility of MCOA and OOA to practical engineering systems. The proposed research ensures compatibility of traditional HLA, enhances the ability for assigning simulation loads onto computing units both statically and dynamically, improves the performance of collaborative simulation system and makes full use of the hardware resources. 展开更多
关键词 static load balancing dynamic load balancing variable-structure collaborative simulation under HLA/RTI multi-objective optimization ordinal optimization
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