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Efficient synthesis of hydroxyl functioned polyesters from natural polyols and sebacic acid 认领 引用 被引量：5
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作者 Zhuo Yuan Ning Qing Shan Zhang +3 位作者 Qin Pei Wu Yun Zheng Li Dong Xia Ma Jia Zhe Chen 《Chinese Chemical Letters》 SCIE CAS CSCD 2011年第6期635-638,共4页
Amphiphilic hydroxyl functioned polyester(HFP)can be used as compatibilizers for blends of starch and resins.We developed a synthetic method for effective preparation of HFPs.Water was removed by high flow rate N_2 ra... Amphiphilic hydroxyl functioned polyester(HFP)can be used as compatibilizers for blends of starch and resins.We developed a synthetic method for effective preparation of HFPs.Water was removed by high flow rate N_2 rather than high vacuum during polycondensation of sebacic acid with xylitol,sorbitol,or mannitol in the presence of dehydrative condensation catalyst and the product is with[η]of 27.2 mL/g,M_n of 1903,M_w of 167,693,T_g of-30.5℃,T_m of 44.0℃.Weight loss is 1.73%under 200℃.The integral distributions of molecular weight are 43.6 wt%and 63.8 wt%over 10,000 and 3000,respectively.The results indicated that higher molecular weight HFP was economically synthesized. 展开更多
关键词 Hydroxyl functioned polyester Poly(sorbitol sebacate) Dehydrative condensation catalyst Biodegradable plastics
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Emerging Role of 2D Materials in Photovoltaics:Efficiency Enhancement and Future Perspectives 认领 引用 被引量：3
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作者 Ghulam Dastgeer Muhammad Wajid Zulfiqar +7 位作者 Sobia Nisar Rimsha Zulfiqar Muhammad Imran Swagata Panchanan Subhajit Dutta Kamran Akbar Alberto Vomiero Zhiming Wang 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第1期843-895,共53页
The growing global energy demand and worsening climate change highlight the urgent need for clean,efficient and sustainable energy solutions.Among emerging technologies,atomically thin two-dimensional(2D)materials off... The growing global energy demand and worsening climate change highlight the urgent need for clean,efficient and sustainable energy solutions.Among emerging technologies,atomically thin two-dimensional(2D)materials offer unique advantages in photovoltaics due to their tunable optoelectronic properties,high surface area and efficient charge transport capabilities.This review explores recent progress in photovoltaics incorporating 2D materials,focusing on their application as hole and electron transport layers to optimize bandgap alignment,enhance carrier mobility and improve chemical stability.A comprehensive analysis is presented on perovskite solar cells utilizing 2D materials,with a particular focus on strategies to enhance crystallization,passivate defects and improve overall cell efficiency.Additionally,the application of 2D materials in organic solar cells is examined,particularly for reducing recombination losses and enhancing charge extraction through work function modification.Their impact on dye-sensitized solar cells,including catalytic activity and counter electrode performance,is also explored.Finally,the review outlines key challenges,material limitations and performance metrics,offering insight into the future development of nextgeneration photovoltaic devices encouraged by 2D materials. 展开更多
关键词 2D materials Photovoltaics Interface engineering Work function tuning Energy harvesting
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Synthetic metabolic engineering of functional crops:Boosting nutrition and human health 认领 引用 被引量：5
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作者 Nan Chai Jie Xu +12 位作者 Ruixiang Zhang Guangzhou Li Jun Wen Liying Su Yang Xue Tie Li Jialin Liu Dongchang Zeng Jiantao Tan Jiaqi Huang Letian Chen Yao-Guang Liu Qinlong Zhu 《The Crop Journal》 SCIE CSCD 2026年第1期8-21,共14页
A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synth... A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synthetic metabolic engineering offers a method to modify and redesign metabolic pathways to increase the nutritional value of crops.We summarize recent advances in the biofortification of key nutrients including provitamin A,vitamin C,vitamin B9,iron,zinc,anthocyanins,flavonoids,and unsaturated fatty acids.We discuss the potential of multi-gene stacking,gene editing,enzyme engineering,and artificial intelligence in synthetic metabolic engineering.We propose future research directions and potential solutions centered on leveraging AI-driven systems biology,precision gene editing,enzyme engineering,agrobacterium-mediated genotype-independent transformation,and modular metabolic engineering strategies to develop next-generation nutritionally enhanced super crops and transform global food systems. 展开更多
关键词 Synthetic biology Synthetic metabolism engineering Functional crops Multigene stacking and gene editing Artificial intelligence
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Using mixed kernel support vector machine to improve the predictive accuracy of genome selection 认领 引用 被引量：2
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作者 Jinbu Wang Wencheng Zong +6 位作者 Liangyu Shi Mianyan Li Jia Li Deming Ren Fuping Zhao Lixian Wang Ligang Wang 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第2期775-787,共13页
The advantages of genome selection(GS) in animal and plant breeding are self-evident.Traditional parametric models have disadvantage in better fit the increasingly large sequencing data and capture complex effects acc... The advantages of genome selection(GS) in animal and plant breeding are self-evident.Traditional parametric models have disadvantage in better fit the increasingly large sequencing data and capture complex effects accurately.Machine learning models have demonstrated remarkable potential in addressing these challenges.In this study,we introduced the concept of mixed kernel functions to explore the performance of support vector machine regression(SVR) in GS.Six single kernel functions(SVR_L,SVR_C,SVR_G,SVR_P,SVR_S,SVR_L) and four mixed kernel functions(SVR_GS,SVR_GP,SVR_LS,SVR_LP) were used to predict genome breeding values.The prediction accuracy,mean squared error(MSE) and mean absolute error(MAE) were used as evaluation indicators to compare with two traditional parametric models(GBLUP,BayesB) and two popular machine learning models(RF,KcRR).The results indicate that in most cases,the performance of the mixed kernel function model significantly outperforms that of GBLUP,BayesB and single kernel function.For instance,for T1 in the pig dataset,the predictive accuracy of SVR_GS is improved by 10% compared to GBLUP,and by approximately 4.4 and 18.6% compared to SVR_G and SVR_S respectively.For E1 in the wheat dataset,SVR_GS achieves 13.3% higher prediction accuracy than GBLUP.Among single kernel functions,the Laplacian and Gaussian kernel functions yield similar results,with the Gaussian kernel function performing better.The mixed kernel function notably reduces the MSE and MAE when compared to all single kernel functions.Furthermore,regarding runtime,SVR_GS and SVR_GP mixed kernel functions run approximately three times faster than GBLUP in the pig dataset,with only a slight increase in runtime compared to the single kernel function model.In summary,the mixed kernel function model of SVR demonstrates speed and accuracy competitiveness,and the model such as SVR_GS has important application potential for GS. 展开更多
关键词 genome selection machine learning support vector machine kernel function mixed kernel function
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AI-driven design of powder-based nanomaterials for smart textiles: from data intelligence to system integration 认领 引用 被引量：3
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作者 Zihui Liang Yun Deng +12 位作者 Zhicheng Shi Xiaohong Liao Huiyi Zong Lizhi Ren Xiangzhe Li Xinyao Zeng Peiying Hu Wei Ke Bing Wu Kai Wang Jin Qian Weilin Xu Fengxiang Chen 《Advanced Powder Materials》 EI CAS CSCD 2026年第1期39-63,共25页
Artificial intelligence(AI)is emerging as a transformative enabler in the development of smart textile systems,particularly those integrating powder-based functional materials.This review highlights recent progress in... Artificial intelligence(AI)is emerging as a transformative enabler in the development of smart textile systems,particularly those integrating powder-based functional materials.This review highlights recent progress in AIguided design of carbon nanomaterials,metallic nanoparticles,and framework-based powders for applications in energy harvesting,intelligent sensing,and robotic actuation.Machine learning techniques,including supervised learning,transfer learning,and Bayesian optimization are discussed for accelerating materials discovery,enhancing integration strategies,and enabling real-time adaptive control.Emphasis is placed on how AI enables multifunctional,wearable platforms that sense,process,and respond to environmental and physiological cues with high accuracy and autonomy.Representative breakthroughs in soft robotics,haptic interfaces,and assistive devices are presented,demonstrating the synergy of AI and responsive textiles.Finally,the review outlines key challenges related to data scarcity,model generalizability,manufacturing scalability,and sustainability,while proposing future directions involving multimodal learning,autonomous experimentation,and ethics-aware design.This work offers a comprehensive outlook on next-generation AI-driven textile systems that seamlessly integrate intelligence,functionality,and wearability. 展开更多
关键词 Smart textiles Artificial intelligence Powder-based functional materials Machine learning AI-driven textile system
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Microglia overexpressing brain-derived neurotrophic factor promote vascular repair and functional recovery in mice after spinal cord injury 认领 引用 被引量：4
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作者 Fanzhuo Zeng Yuxin Li +6 位作者 Xiaoyu Li Xinyang Gu Yue Cao Shuai Cheng He Tian Rongcheng Mei Xifan Mei 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第1期365-376,共12页
Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in s... Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in spinal cord injury.Previous studies have shown that microglia can promote neuronal survival by phagocytosing dead cells and debris and by releasing neuroprotective and anti-inflammatory factors.However,excessive activation of microglia can lead to persistent inflammation and contribute to the formation of glial scars,which hinder axonal regeneration.Despite this,the precise role and mechanisms of microglia during the acute phase of spinal cord injury remain controversial and poorly understood.To elucidate the role of microglia in spinal cord injury,we employed the colony-stimulating factor 1 receptor inhibitor PLX5622 to deplete microglia.We observed that sustained depletion of microglia resulted in an expansion of the lesion area,downregulation of brain-derived neurotrophic factor,and impaired functional recovery after spinal cord injury.Next,we generated a transgenic mouse line with conditional overexpression of brain-derived neurotrophic factor specifically in microglia.We found that brain-derived neurotrophic factor overexpression in microglia increased angiogenesis and blood flow following spinal cord injury and facilitated the recovery of hindlimb motor function.Additionally,brain-derived neurotrophic factor overexpression in microglia reduced inflammation and neuronal apoptosis during the acute phase of spinal cord injury.Furthermore,through using specific transgenic mouse lines,TMEM119,and the colony-stimulating factor 1 receptor inhibitor PLX73086,we demonstrated that the neuroprotective effects were predominantly due to brain-derived neurotrophic factor overexpression in microglia rather than macrophages.In conclusion,our findings suggest the critical role of microglia in the formation of protective glial scars.Depleting microglia is detrimental to recovery of spinal cord injury,whereas targeting brain-derived neurotrophic factor overexpression in microglia represents a promising and novel therapeutic strategy to enhance motor function recovery in patients with spinal cord injury. 展开更多
关键词 angiogenesis apoptosis brain-derived neurotrophic factor colony stimulating factor 1 receptor inflammation microglia motor function spinal cord injury vascular endothelial growth factor
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Metal-organic frameworks for sustainable recovery of precious metals:Advances in synthesis,applications,and multiscale mechanisms 认领 引用 被引量：2
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作者 Baocheng Zhou Guo Lin +3 位作者 Shixing Wang Tu Hu Yunfei An Libo Zhang 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第2期417-445,共29页
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
关键词 metal-organic frameworks precious metal recovery functionalization adsorption mechanisms circular economy
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Topical administration of GLP-1 eyedrops improves retinal ganglion cell function by facilitating presynaptic GABA release in early experimental diabetes 认领 引用 被引量：4
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作者 Yu-Qi Shao Yong-Chen Wang +6 位作者 Lu Wang Hang-Ze Ruan Yun-Feng Liu Ti-Hui Zhang Shi-Jun Weng Xiong-Li Yang Yong-Mei Zhong 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第2期800-810,共11页
Diabetic retinopathy is a prominent cause of blindness in adults,with early retinal ganglion cell loss contributing to visual dysfunction or blindness.In the brain,defects inγ-aminobutyric acid synaptic transmission ... Diabetic retinopathy is a prominent cause of blindness in adults,with early retinal ganglion cell loss contributing to visual dysfunction or blindness.In the brain,defects inγ-aminobutyric acid synaptic transmission are associated with pathophysiological and neurodegenerative disorders,whereas glucagon-like peptide-1 has demonstrated neuroprotective effects.However,it is not yet clear whether diabetes causes alterations in inhibitory input to retinal ganglion cells and whether and how glucagon-like peptide-1 protects against neurodegeneration in the diabetic retina through regulating inhibitory synaptic transmission to retinal ganglion cells.In the present study,we used the patch-clamp technique to recordγ-aminobutyric acid subtype A receptor-mediated miniature inhibitory postsynaptic currents in retinal ganglion cells from streptozotocin-induced diabetes model rats.We found that early diabetes(4 weeks of hyperglycemia)decreased the frequency of GABAergic miniature inhibitory postsynaptic currents in retinal ganglion cells without altering their amplitude,suggesting a reduction in the spontaneous release ofγ-aminobutyric acid to retinal ganglion cells.Topical administration of glucagon-like peptide-1 eyedrops over a period of 2 weeks effectively countered the hyperglycemia-induced downregulation of GABAergic mIPSC frequency,subsequently enhancing the survival of retinal ganglion cells.Concurrently,the protective effects of glucagon-like peptide-1 on retinal ganglion cells in diabetic rats were eliminated by topical administration of exendin-9-39,a specific glucagon-like peptide-1 receptor antagonist,or SR95531,a specific antagonist of theγ-aminobutyric acid subtype A receptor.Furthermore,extracellular perfusion of glucagon-like peptide-1 was found to elevate the frequencies of GABAergic miniature inhibitory postsynaptic currents in both ON-and OFF-type retinal ganglion cells.This elevation was shown to be mediated by activation of the phosphatidylinositol-phospholipase C/inositol 1,4,5-trisphosphate receptor/Ca2+/protein kinase C signaling pathway downstream of glucagon-like peptide-1 receptor activation.Moreover,multielectrode array recordings revealed that glucagon-like peptide-1 functionally augmented the photoresponses of ON-type retinal ganglion cells.Optomotor response tests demonstrated that diabetic rats exhibited reductions in visual acuity and contrast sensitivity that were significantly ameliorated by topical administration of glucagon-like peptide-1.These results suggest that glucagon-like peptide-1 facilitates the release ofγ-aminobutyric acid onto retinal ganglion cells through the activation of glucagon-like peptide-1 receptor,leading to the de-excitation of retinal ganglion cell circuits and the inhibition of excitotoxic processes associated with diabetic retinopathy.Collectively,our findings indicate that theγ-aminobutyric acid system has potential as a therapeutic target for mitigating early-stage diabetic retinopathy.Furthermore,the topical administration of glucagon-like peptide-1 eyedrops represents a non-invasive and effective treatment approach for managing early-stage diabetic retinopathy. 展开更多
关键词 diabetic retinopathy glucagon-like peptide-1 inhibitory synaptic transmission miniature inhibitory postsynaptic currents neurodegeneration neuroprotection patch-clamp recording protein kinase C signaling pathway visual function
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Bacillus velezensis activates beneficial soil microorganisms to promote the growth and health of cucumber after soil fumigation 认领 引用 被引量：2
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作者 Xuewen Xie Lida Chen +8 位作者 Shicheng Liu Lixia Yan Na Li Changzong Ding Yanxia Shi Ali Chai Tengfei Fan Baoju Li Lei Li 《Horticultural Plant Journal》 SCIE CAS CSCD 2026年第6期1403-1415,共13页
Cucumber root rot,primarily caused by Fusarium solani,threatens global cucumber production through soil-borne infection,vascular wilt,and yield loss.Soil fumigation with Calcium cyanamide(CaCN2)effectively suppress... Cucumber root rot,primarily caused by Fusarium solani,threatens global cucumber production through soil-borne infection,vascular wilt,and yield loss.Soil fumigation with Calcium cyanamide(CaCN2)effectively suppresses soil-borne pathogens but may impair beneficial soil microbiota.This study investigated the synergistic effects of Bacillus velezensis(ZF336)inoculation on reactivating beneficial soil microbes after CaCN2 fumigation and its role in controlling cucumber root rot caused by F.solani.The physicochemical properties and microbial community structure of the soil and the health of the cucumber plants were investigated.Our findings revealed the following.(Ⅰ)The potential for hydrogen(pH)and the contents of organic matter(OM),nitrate nitrogen(NO3-N)and ammonium nitrogen(NH4-N)significantly increased after combined CaCN2 and ZF336 treatment.(Ⅱ)Combined CaCN2 and ZF336 treatment reduced the relative abundance of Fusarium and increased the relative abundances of the potentially beneficial bacteria Trichoderma and Penicillium in the soil.In addition,B.velezensis promoted the recovery of microbial communities after CaCN2 disinfection.(Ⅲ)Combined CaCN2 and ZF336 treatment improved the activities of carbohydrate enzymes,effectively promoting soil carbon metabolism and increasing the cellulase,hemicellulose and lignin decomposition abilities.In conclusion,CaCN2 combined with B.velezensis stimulated the soil microbial community structure and the activities of specific enzymes and is an effective way to control cucumber root rot disease and improve yield and soil quality. 展开更多
关键词 Cucumber Calcium cyanamide Bacillus velezensis Soil microbial community Function genes Fusarium
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Supramolecular self-assembled graphitic carbon nitride catalyst:A comprehensive review on design principle,synthesis strategy,functionalization and application 认领 引用 被引量：2
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作者 Hao Yang Shaodong Sun +1 位作者 Qing Yang Jie Cui 《Nano Materials Science》 EI CAS CSCD 2026年第2期364-437,共74页
Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/... Graphitic carbon nitride(g-CN)stands out as the most promising candidate for solar energy conversion owing to its easy preparation,metal-free nature,flexible molecular structure,moderate bandgap,and excellent thermal/chemical stability.To enhance the performance of intrinsic g-CN,a supramolecular self-assembly strategy has been proposed to regulate the molecular structure of supramolecular precursors through non-covalent interactions across molecular building blocks,thereby optimizing the electronic structure of g-CN.This review provides a comprehensive overview of the recent progress in supramolecular self-assembly-derived graphitic carbon nitride(SM-CN)from both experimental and theoretical computational research in synthesis strategies,including synthesis methods and influencing factors,providing a theoretical foundation for the design of supramolecular assembly.It also discusses modification strategies,such as internal modification of the conjugated plane,interlayer optimization,and construction of heterointerfaces to improve the electronic structure of SM-CN owing to its unique layered structure.This review further summarizes the applications of SM-CN in environment and energy,including wastewater treatment,sterilization and disinfection/air purification,water splitting,H2O2production,organic synthesis/biomass conversion,CO2reduction,photocatalytic coupling technology.Finally,perspectives and outlooks for the future development of SM-CN aim to inspire further innovation in the design and construction of high-performance SM-CN for broader applications. 展开更多
关键词 Graphitic carbon nitride Photocatalysis Supramolecular self-assembly Functionalization Application
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MCC950 suppresses NLRP3-dependent neuroinflammation and ameliorates cognitive decline in a rat model of cerebral small vessel disease 认领 引用 被引量：2
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作者 Meiyan Zhang Xiaoyan Lan +6 位作者 Yue Gao Shen Li Guanda Qiao Yajie Liang Miroslaw Janowski Piotr Walczak Chengyan Chu 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第6期2425-2432,共8页
Cerebral small vessel disease is a major vascular contributor to cognitive impairment and dementia.However,there remains a lack of effective preventative or therapeutic regimens for cerebral small vessel disease.In th... Cerebral small vessel disease is a major vascular contributor to cognitive impairment and dementia.However,there remains a lack of effective preventative or therapeutic regimens for cerebral small vessel disease.In this study,we investigated the potential therapeutic effects of MCC950,a selective NOD-like receptor family pyrin domain-containing protein 3 inhibitor,on cerebral small vessel disease pathogenesis and cognitive decline in spontaneously hypertensive rats.Our results showed that chronic administration of MCC950(10 mg/kg)to spontaneously hypertensive rats inhibited NOD-like receptor family pyrin domain-containing protein 3 inflammasome activation,thereby considerably suppressing the production of pyroptosis executive protein gasdermin D and pro-inflammatory factors,including interleukin-1βand-18.A decrease in astrocytic and microglial activation was also observed.We also found that MCC950 significantly inhibited autophagy.More importantly,behavioral assessment indicated that MCC950 administration ameliorated impaired neurocognitive function,which was associated with improvements in neuropathological hallmarks in the cerebral small vessel disease brain,such as blood‒brain barrier breakdown,white matter damage,and endothelial dysfunction.Thus,our findings revealed that the NOD-like receptor family pyrin domain-containing protein 3 inflammasome is a key contributor to the onset or progression of cerebral small vessel disease and suggested the potential of NOD-like receptor family pyrin domain-containing protein 3-based therapy as a potential novel strategy for treating cerebral small vessel disease. 展开更多
关键词 astrocyte autophagy blood-brain barrier cerebral small vessel disease cognitive function endothelial cells microglia neuroinflammation NLRP3 inflammasome white matter
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Periodontitis pathogen Porphyromonas gingivalis promotes chronic obstructive pulmonary disease via affecting neutrophils chemotaxis and function 认领 引用 被引量：1
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作者 Luyao Zhang Huan Tian +4 位作者 Yuanyuan Ma Jing Xu Chang Guo Zuomin Wang Jie Ma 《International Journal of Oral Science》 SCIE CAS CSCD 2026年第1期115-125,共11页
Chronic obstructive pulmonary disease(COPD),a disease responsible for early mortality worldwide,is well accepted to be associated with periodontitis epidemiologically.Although both of the diseases are the multi-microb... Chronic obstructive pulmonary disease(COPD),a disease responsible for early mortality worldwide,is well accepted to be associated with periodontitis epidemiologically.Although both of the diseases are the multi-microbial inflammatory disease,the precise underlying mechanisms by which periodontitis influences the progression of COPD remains largely unknown.Here,we established COPD accompanied with periodontitis mouse models and observed the pronounced progress in pulmonary symptoms and histopathology,cha racterized by poorer respiratory function,thicke ned bronchial walls,and increased neutrophils infiltration in lung tissue.Mechanistically,periodontitis pathogen Porphyromonas gingivalis(P.gingivalis)relocated in the lung through the respiratory tract and LPS from P.gingivalis promoted the secretion of chemokines CXCL2 and G-CSF of alveolar epithelial cells through NF-κB and p38 MAPK pathways to recruit neutrophils.Furthermore,exposure to P.gingivalis of infiltrated neutrophils released matrix metallopeptidase-8(MMP-8)and neutrophil elastase(NE),which aggravated airway inflammation and tissue damage.These findings indicated that periodontitis could exacerbate COPD via its pathogen P.gingivalis,which translocated in the lung and stimulated neutrophil chemotaxis and activation in the lung. 展开更多
关键词 neutrophils chemotaxis pulmonary symptoms histopathology periodontitis neutrophils function chronic obstructive pulmonary disease respiratory function chronic obstructive pulmonary disease copd
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Functional near-infrared spectroscopy:Systematic mapping of abnormal brain function features in neurological disorders 认领 引用 被引量：1
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作者 Yunjie Li Yangyang Feng +6 位作者 Xia Liu Ruochao Yuan Shiling Chen Jingyi Wang Chao Pan Gaigai Li Zhouping Tang 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第10期4506-4522,共17页
Functional near-infrared spectroscopy quantifies cerebral hemodynamic signals by capturing oxygenation-dependent changes in hemoglobin in a noninvasive,portable,and ecologically valid manner,providing a unique insight... Functional near-infrared spectroscopy quantifies cerebral hemodynamic signals by capturing oxygenation-dependent changes in hemoglobin in a noninvasive,portable,and ecologically valid manner,providing a unique insight into neurovascular coupling.However,functional imaging biomarkers with high ecological validity for neurological disorders such as stroke,Parkinson's disease,dementia,amyotrophic lateral sclerosis,epilepsy,spinal cord injury,and traumatic brain injury are lacking,limiting the mechanistic understanding,treatment evaluations,and individualized interventions.The aim of this review is to systematically summarize evidence from the past decade on the use of functional near-infrared spectroscopy under the aforementioned conditions,synthesize its value for revealing neural mechanisms and assessing therapeutic responses,and identify current technical bottlenecks and future directions for advancement.Collectively,the findings demonstrate that functional near-infrared spectroscopy possesses substantial and far-reaching potential for uncovering the neural mechanisms underlying disease and for evaluating treatment-induced changes in brain function.Equipped with wearable probes,functional near-infrared spectroscopy can continuously and noninvasively monitor brain activity in naturalistic environments for extended periods,thereby overcoming the limitations of conventional imaging modalities that can only acquire data under restricted settings.This capability can furnish unprecedented objective neuroimaging evidence for neuroregenerative therapy research.Moreover,the portability of functional near-infrared spectroscopy allows it to be integrated into neurofeedback training systems:hemoglobin signals can be fed back to participants within milliseconds,enabling targeted,individualized,closed-loop modulation of brain function and considerably expanding the scope of hemodynamicsbased neurofeedback.When combined with other brain function assays(such as electroencephalography)and intervention techniques(such as transcranial magnetic stimulation and transcranial direct current stimulation),functional near-infrared spectroscopy also supplies high-temporal-resolution hemodynamic information,laying a critical foundation for the construction of high-precision noninvasive brain–computer interfaces,real-time cognitivestate decoding,and adaptive neuromodulation.Admittedly,almost all existing functional near-infrared spectroscopy studies are still observational and have small sample sizes,short follow-ups,and insufficient controls—shortcomings that together produce low-grade evidence.Therefore,there is still a significant gap before clinical translation can be achieved.Technically,the limited penetration depth of functional near-infrared spectroscopy restricts sampling to the superficial cortex,leaving deep nuclei largely unreachable.In addition,no consensus exists across devices regarding optode layout,light-source choice,motion-artifact correction,or analytical pipelines,creating pronounced heterogeneity that undermines reproducibility.With artificial intelligence and big data analytics advancing rapidly,functional near-infrared spectroscopy embedded within multimodal fusion frameworks is now poised to systematically map aberrant brain function signatures of neurological disorders,identify pathological regions suitable for targeted intervention,and provide real-time assessments of functional changes produced by neuroregenerative therapies. 展开更多
关键词 biomarkers brain mapping clinical translational application functional connectivity functional near-infrared spectroscopy multimodal fusion nervous system diseases neuroimaging neuroregenerative therapy neurovascular coupling
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Analytical model to characterize temperature-dependent anisotropic-asymmetric behavior of Mg-Gd-Y alloy 认领 引用 被引量：2
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作者 Pengfei Wu Qiang Chen +2 位作者 Liucheng Zhou Xiaoqing Liang Yanshan Lou 《Journal of Magnesium and Alloys》 SCIE EI CAS CSCD 2026年第1期190-215,共26页
The work is conducted to uncover and simulate the dependence of the evolving anisotropic-asymmetric yield behavior on the temperature for an Mg-Gd-Y alloy.Experiments were carried out at 25~300℃,including uniaxial te... The work is conducted to uncover and simulate the dependence of the evolving anisotropic-asymmetric yield behavior on the temperature for an Mg-Gd-Y alloy.Experiments were carried out at 25~300℃,including uniaxial tension and compression.The strength is observed to decrease non-linearly as the temperature increases.Thermal softening effect is not significant when the temperature is lower than 200℃,but the strength decreases dramatically at high temperature than 250℃.Tension-compression asymmetry and anisotropy are observed to be strongly and nonlinearly dependent on strain and temperature.The temperature effect is taken into account in a combined Swift-Voce(SVT)model to predict the temperature-dependent strain hardening behavior with a higher accuracy than the traditional Johnson-Cook and Zerilli-Armstrong equations.An analytical Yoon2014(A-Yoon2014)yield function is established to capture the evolving anisotropicasymmetric behavior with respect to strain and temperature.The predicted force-stroke curves of the A-Yoon2014+SVT model are closer to the experimental results of the three-point bending process than the numerical results of the original Yoon2014+SVT model.Given its userfriendliness and high accuracy for the modeling of temperature-dependent anisotropic-asymmetric hardening behavior,the A-Yoon2014+SVT model is recommended to be utilized in the numerical simulation of plastic forming process for hexagonal close-packed metals. 展开更多
关键词 Magnesium-rare earth alloys Anisotropic-asymmetric yield function Temperature effect Strength differential effect Plastic flow
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Ab initio density functional theory approach to warm dense hydrogen:From density response to electronic correlations 认领 引用 被引量：1
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作者 Zhandos A.Moldabekov Xuecheng Shao +5 位作者 Hannah M.Bellenbaum Cheng Ma Wenhui Mi Sebastian Schwalbe Jan Vorberger Tobias Dornheim 《Matter and Radiation at Extremes》 SCIE EI CAS CSCD 2026年第2期14-20,共7页
Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse ... Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse of warm dense matter theory is thermal density functional theory(DFT),which,however,suffers from two limitations:(i)its accuracy can depend on the utilized exchange-correlation functional,which has to be approximated,and(ii)it is generally limited to single-electron properties such as the density distribution.Here,we present a new ansatz combining time-dependent DFT results for the dynamic structure factor See(q,ω)with static DFT results for the density response.This allows us to estimate the electron-electron static structure factor See(q)of warm dense hydrogen with high accuracy over a broad range of densities and temperatures.In addition to its value for the study of warm dense matter,our work opens up new avenues for the future study of electronic correlations exclusively within the framework of DFT for a host of applications. 展开更多
关键词 thermal density functional theory dft whichhoweversuffers understanding properties warm dense hydrogen thermal density functional theory understand further optimize inertial confinement fusion applicationsthe warm dense matter theory electronic correlations warm dense hydrogen density functional theory
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A radiomics approach for predicting gait freezing in Parkinson's disease based on resting-state functional magnetic resonance imaging indices:A cross-sectional study 认领 引用 被引量：3
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作者 Miaoran Guo Hu Liu +6 位作者 Long Gao Hongmei Yu Yan Ren Yingmei Li Huaguang Yang Chenghao Cao Guoguang Fan 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第4期1621-1627,共7页
Freezing of gait is a significant and debilitating motor symptom often observed in individuals with Parkinson's disease.Resting-state functional magnetic resonance imaging,along with its multi-level feature indice... Freezing of gait is a significant and debilitating motor symptom often observed in individuals with Parkinson's disease.Resting-state functional magnetic resonance imaging,along with its multi-level feature indices,has provided a fresh perspective and valuable insight into the study of freezing of gait in Parkinson's disease.It has been revealed that Parkinson's disease is accompanied by widespread irregularities in inherent brain network activity.However,the effective integration of the multi-level indices of resting-state functional magnetic resonance imaging into clinical settings for the diagnosis of freezing of gait in Parkinson's disease remains a challenge.Although previous studies have demonstrated that radiomics can extract optimal features as biomarkers to identify or predict diseases,a knowledge gap still exists in the field of freezing of gait in Parkinson's disease.This cross-sectional study aimed to evaluate the ability of radiomics features based on multi-level indices of resting-state functional magnetic resonance imaging,along with clinical features,to distinguish between Parkinson's disease patients with and without freezing of gait.We recruited 28 patients with Parkinson's disease who had freezing of gait(15 men and 13 women,average age 63 years)and 30 patients with Parkinson's disease who had no freezing of gait(16 men and 14 women,average age 64 years).Magnetic resonance imaging scans were obtained using a 3.0T scanner to extract the mean amplitude of low-frequency fluctuations,mean regional homogeneity,and degree centrality.Neurological and clinical characteristics were also evaluated.We used the least absolute shrinkage and selection operator algorithm to extract features and established feedforward neural network models based solely on resting-state functional magnetic resonance imaging indicators.We then performed predictive analysis of three distinct groups based on resting-state functional magnetic resonance imaging indicators indicators combined with clinical features.Subsequently,we conducted 100 additional five-fold cross-validations to determine the most effective model for each classification task and evaluated the performance of the model using the area under the receiver operating characteristic curve.The results showed that when differentiating patients with Parkinson's disease who had freezing of gait from those who did not have freezing of gait,or from healthy controls,the models using only the mean regional homogeneity values achieved the highest area under the receiver operating characteristic curve values of 0.750(with an accuracy of 70.9%)and 0.759(with an accuracy of 65.3%),respectively.When classifying patients with Parkinson's disease who had freezing of gait from those who had no freezing of gait,the model using the mean amplitude of low-frequency fluctuation values combined with two clinical features achieved the highest area under the receiver operating characteristic curve of 0.847(with an accuracy of 74.3%).The most significant features for patients with Parkinson's disease who had freezing of gait were amplitude of low-frequency fluctuation alterations in the left parahippocampal gyrus and two clinical characteristics:Montreal Cognitive Assessment and Hamilton Depression Scale scores.Our findings suggest that radiomics features derived from resting-state functional magnetic resonance imaging indices and clinical information can serve as valuable indices for the identification of freezing of gait in Parkinson's disease. 展开更多
关键词 amplitude of low-frequency fluctuation degree centrality feedforward neural network freezing of gait machine learning parahippocampal gyrus Parkinson's disease receiver operating characteristic regional homogeneity resting-state functional magnetic resonance imaging
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Interfacial plugging of shale microfractures using functionalized graphene oxide with high dispersion stability under harsh conditions 认领 引用 被引量：1
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作者 Dao-Xiong Li Yang Bai +5 位作者 Cheng Wang Na Su Ling-Feng Wu Deng Gu Yu-Fen Zhai Ping-Ya Luo 《Petroleum Science》 SCIE EI CAS CSCD 2026年第1期422-433,共12页
Shale gas development often suffers from wellbore instability due to microfractures in the formation,posing serious challenges to drilling safety and efficiency.This study presents a functionalized graphene oxide(GO-P... Shale gas development often suffers from wellbore instability due to microfractures in the formation,posing serious challenges to drilling safety and efficiency.This study presents a functionalized graphene oxide(GO-PAA)nanomaterial,prepared by grafting hydrophilic polyacrylic acid(PAA)chains onto GO surfaces to enhance dispersion stability under high salinity,elevated temperature,and wide pH conditions.The results indicate that GO-PAA effectively resists charge-shielding effects under conditions of high salinity,elevated temperature,and a wide pH range,significantly reducing the risk of particle aggregation.Even at high salt concentrations,the zeta potential remains below-32.8 mV,demonstrating good colloidal stability.Plugging performance was evaluated using simulated core experiments.GO-PAA fo rmed a"band-aid"like barrier on shale microfracture surfaces,reducing permeability by up to57.53%,nearly twice that of conventional spherical nano particles.Scanning electron microscope(SEM)and elemental analysis confirmed the formation of a dense and uniform plugging layer.The synergistic interaction between GO's 2D lamellar structure and the flexible polymer chains facilitated effective surface adhesion and coverage.This adsorption-adhesion plugging mechanism represents a shift from traditional bridging theories,enabling reduced material usage and improved efficiency.The findings provide theo retical and practical support for designing high-perfo rmance nanoplugging agents in waterbased drilling fluids,contributing to safer and more sustainable shale gas development. 展开更多
关键词 Functionalized GO Stable dispersion Interfacial plugging Nanoplugging agent Shale microfractures
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Methods of preparation,structural characteristics of resistant starch and its relation to human health:a review 认领 引用 被引量：1
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作者 Weiyi Zhang Yang Yang +6 位作者 Chunmin Ma Bing Wang Xiaofei Liu Yan Wang Xin Bian Guang Zhang Na Zhang 《Food Science and Human Wellness》 SCIE CAS CSCD 2026年第4期1503-1519,共17页
Resistant starch(RS)comprises starch fractions that resist digestion in the small intestine and reach the colon,where they are fermented by the microbiota.Resistant starch harbors functional properties and healthpromo... Resistant starch(RS)comprises starch fractions that resist digestion in the small intestine and reach the colon,where they are fermented by the microbiota.Resistant starch harbors functional properties and healthpromoting ingredients that can regulate blood glucose and lipid levels,prevent cancer,and enhance the quality of life.Consequently,new technologies for the preparation of RS are continually being developed to support its industrial production.This review describes the structural and nutritional properties of RS and examines recent advancements in RS preparation methods.Emphasis is placed on how RS structure influences its properties and the physiological mechanisms in vivo.This review aims to stimulate further research into the preparation methods,functional characteristics,and utilization of RS,thereby supporting ongoing developments in the food industry. 展开更多
关键词 Resistant starch Preparation methods Characterization Function Human health
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Influence of aerobic exercise on the cognitive and social functions of elderly patients with schizophrenia 认领 引用 被引量：1
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作者 Can Ao Lu Zhan +2 位作者 Yu-Lan Mou Shu Hu Yong-Hong Huang 《World Journal of Psychiatry》 SCIE 2026年第3期180-190,共11页
BACKGROUND Schizophrenia presents complex challenges in older patients due to cognitive and social decline.Existing drug treatments offer limited benefits and pose risks,while aerobic exercise shows promise as a nonin... BACKGROUND Schizophrenia presents complex challenges in older patients due to cognitive and social decline.Existing drug treatments offer limited benefits and pose risks,while aerobic exercise shows promise as a noninvasive intervention whose impact remains underexplored.AIM To investigate the effects of aerobic exercise on cognitive and social function in older patients with schizophrenia.METHODS A retrospective study was conducted in 158 older patients with schizophrenia treated at The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College(June 2023 and December 2024).The patients were divided into an observation group(n=86),which received 3 months of aerobic rehabilitation alongside routine treatment,and a control group(n=72),which received routine treatment alone.Cognitive function was assessed using the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery,social function using the Inpatient Psychiatric Rehabilitation Outcome Scale(IPROS),and psychotic symptoms using the Positive and Negative Syndrome Scale.RESULTS Post-treatment,Positive and Negative Syndrome Scale total scores were lower in the observation group than in the controls(P<0.001),with significant improvements in positive,negative,and general symptoms.Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery domain scores were improved in processing speed,working memory,verbal/visual learning,and executive function(all P<0.05).IPROS total scores were decreased(P<0.001),indicating better social functioning.Longer exercise duration correlated with greater cognitive gains and lower social function deficits.Body mass index declined(P<0.001),and adverse events were mild and transient(9.3%).Multivariate linear regression confirmed that aerobic exercise was independently associated with a significant reduction in IPROS scores(Adjustedβ=-4.57,95%confidence intervals:-6.08 to-3.05,P<0.001).CONCLUSION Aerobic exercise effectively improves cognitive function,social function,and psychotic symptoms in older patients with schizophrenia,is safe,and serves as a valuable adjunctive intervention. 展开更多
关键词 Schizophrenia Aerobic exercise Cognitive function Social function Elderly patients
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Dietary supplementation with sodium isobutyrate enhances growth performance and colonic barrier function in weaned piglets via microbiota-metabolite-host interactions 认领 引用 被引量：1
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作者 Xiuyu Fang Zihan Chi +6 位作者 Zhengyi Wang Xinlin Wang Xingrui Qu Shuang Zhang Feng Gao Baoming Shi Xuan Zhao 《Journal of Animal Science and Biotechnology》 SCIE CAS CSCD 2026年第1期404-425,共22页
Background Weaning-induced diarrhoea and growth retardation in piglets are associated with impaired intestinal barrier function and decreased levels of colonic short-chain fatty acids(SCFAs).Although SCFA supplementat... Background Weaning-induced diarrhoea and growth retardation in piglets are associated with impaired intestinal barrier function and decreased levels of colonic short-chain fatty acids(SCFAs).Although SCFA supplementation has been proposed to mitigate these issues,the efficacy and optimal dosage of sodium isobutyrate remain unclear.Results We investigated the effects of sodium isobutyrate supplementation(500,1,000,2,000,and 4,000 mg/kg diet)on weaned piglets(Duroc×Landrace×Yorkshire,28 d of age;n=8).After a 28-d feeding trial,supplementation at 500–2,000 mg/kg significantly improved average daily gain and feed efficiency and reduced diarrhoea frequency,with maximal benefits observed at 1,000 mg/kg(P<0.0001).Additionally,500–1,000 mg/kg sodium isobutyrate supplementation increased the apparent digestibility of crude protein,organic matter,and crude fibre(P<0.05).Serum biochemical parameters were unaffected,although secretory immunoglobulin A(SIgA)levels significantly increased upon supplementation with 500–1,000 mg/kg(P<0.05).16S rRNA gene sequencing indicated that sodium isobutyrate increased the abundance of beneficial colonic microbiota.The 1,000 mg/kg group presented the most pronounced effect,with a significant increase of the relative abundance of Prevotella and the greatest improvement in SCFA concentrations(P<0.05).Metabolomics revealed elevated levels of colonic indole-3-lactic acid and 3-hydroxybutyrate upon supplementation with 1,000 mg/kg(P<0.05).Transcriptomic analyses indicated activation of protein digestion and absorption pathways,and PI3K-Akt signalling,marked by TSG-6 upregulation and the suppression of ISG15 and DDIT4 expression(P<0.05).Supplementation with 1,000 mg/kg was associated with improved intestinal barrier-related markers,including reduced serum D-lactate,diamine oxidase,and lipopolysaccharide levels,increased tight junction protein expression;activation of G protein-coupled receptors;and inhibition of TLR4/MyD88/NF-κB signalling(P<0.05),suggesting enhanced barrier function.Conclusions In conclusion,dietary supplementation with 1,000 mg/kg sodium isobutyrate was associated with improved intestinal morphology,reduced serum permeability,increased expression of tight junction proteins,and enhanced immune function in weaned piglets,suggesting enhanced colonic barrier function and providing dosage guidance and mechanistic insights for future applications. 展开更多
关键词 Colonic barrier function Diarrhoea Intestinal microbiota Sodium isobutyrate Weaned piglets
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