DO we need a fundamental change in our professional culture and knowledge foundation for control and automation?If so,what are necessary and critical steps we must take to ensure such a change would take place effecti...DO we need a fundamental change in our professional culture and knowledge foundation for control and automation?If so,what are necessary and critical steps we must take to ensure such a change would take place effectively and efficiently,or more general,smoothly and sustainably?展开更多
A protective forest,including shelterbelt,windbreak,and shelter forest as its synonyms,is characterized by the protective functions of various forest types distributed or planted on ecologically fragile areas or nearb...A protective forest,including shelterbelt,windbreak,and shelter forest as its synonyms,is characterized by the protective functions of various forest types distributed or planted on ecologically fragile areas or nearby the objects that need to be protected using the ecological effects of forests.Ecological mechanisms for management practices of protective forests is one of the disciplinary orientations in forest ecology and management.Most protective forest studies are dependent on forestry eco-engineering,such as the Great Plains Shelterbelt Project in the United States,the Great Plan for the Transformation of Nature in the Soviet Union,and the Three-North Afforestation Program in China.The development of sustainable management of protective forests has been given increasing attention by governments,scientists,and media due to their impacts on environment conservation and global change.We introduce forestry ecoengineering and provide a review of their main ecological mechanisms for management practices of protective forests.Ecological mechanisms for management systems currently applied are emphasized,i.e.,the theory of protection maturity and phase-directional management;the relationship between structure and protective functions and structural optimization measures;and,the decline mechanism and ecological restoration strategies.In addition,several unresolved problems in management practices of protective forests are discussed as well as the prospects for ecological mechanisms for management practices of protective forests in the future,which include:(1)theories and technologies for management practices of protective forests at the landscape or regional scale;(2)the decline mechanisms and corresponding ecological restoration approaches across multiple scales;and,(3)the comprehensive assessment of forestry eco-engineering at large-scales based on ecosystem principles.展开更多
These days' smart buildings have high intensive information and massive operational parameters, not only extensive power consumption. With the development of computation capability and future 5 G, the ACP theory(i...These days' smart buildings have high intensive information and massive operational parameters, not only extensive power consumption. With the development of computation capability and future 5 G, the ACP theory(i.e., artificial systems,computational experiments, and parallel computing) will play a much more crucial role in modeling and control of complex systems like commercial and academic buildings. The necessity of making accurate predictions of energy consumption out of a large number of operational parameters has become a crucial problem in smart buildings. Previous attempts have been made to seek energy consumption predictions based on historical data in buildings. However, there are still questions about parallel building consumption prediction mechanism using a large number of operational parameters. This article proposes a novel hybrid deep learning prediction approach that utilizes long short-term memory as an encoder and gated recurrent unit as a decoder in conjunction with ACP theory. The proposed approach is tested and validated by real-world dataset, and the results outperformed traditional predictive models compared in this paper.展开更多
While presenting biological characteristics of vaccinia virus and laboratory-acquired infections during related research processes, this paper focuses on benefits and risks of vaccinia virus immunization in relation t...While presenting biological characteristics of vaccinia virus and laboratory-acquired infections during related research processes, this paper focuses on benefits and risks of vaccinia virus immunization in relation to laboratory-acquired infections, describes characteristics and the adaptation of vaccinia virus vaccine, analyses the role vaccinia virus immunization plays in the prevention and control of laboratory-acquired infections, and finally proposes solutions and countermeasures to further promote and implement immune control strategies. The problem related to immune strategy and laboratory- acquired infections which is being raised, analyzed and explored plays an active and instructive role in vaccinia virus related researches and laboratory- acquired infections, and also helps to recommend and develop relevant immune strategy for future vaccine control of such infections.展开更多
Based on ACP(artificial systems,computational experiments,and parallel execution)methodology,parallel control and management has become a popularly systematic and complete solution for the control and management of co...Based on ACP(artificial systems,computational experiments,and parallel execution)methodology,parallel control and management has become a popularly systematic and complete solution for the control and management of complex systems.This paper focuses on summarizing comprehensive review of the research literature of parallel control and management achieved in the recent years including the theoretical framework,core technologies,and the application demonstration.The future research,application directions,and suggestions are also discussed.展开更多
Obesity is a prevalent chronic disease that has significant negative impacts on humans and our companion animals,including dogs and cats.Obesity occurs with multiple comorbidities,such as diabetes,hypertension,heart d...Obesity is a prevalent chronic disease that has significant negative impacts on humans and our companion animals,including dogs and cats.Obesity occurs with multiple comorbidities,such as diabetes,hypertension,heart disease and osteoarthritis in dogs and cats.A direct link between lipid metabolism dysregulation and obesity-associated diseases has been implicated.However,the understanding of such pathophysiology in companion animals is lim-ited.This review aims to address the role of lipid metabolism in various metabolic disorders associated with obesity,emphasizing the involvement of the gut microbiota.Furthermore,we also discuss the management of obesity,including approaches like nutritional interventions,thus providing novel insights into obesity prevention and treatment for canines and felines.展开更多
Hyperuricemia,a metabolic disorder related to uric acid metabolism dysregulation,has become a common metabolic disease worldwide,due to changes in lifestyle and dietary structure.In recent years,owing to their high ac...Hyperuricemia,a metabolic disorder related to uric acid metabolism dysregulation,has become a common metabolic disease worldwide,due to changes in lifestyle and dietary structure.In recent years,owing to their high activity and few adverse effects,food-derived active peptides used as functional foods against hyperuricemia have attracted increasing attention.This article aims to focus on the challenge associated with peptide-specific preparation methods development,functional components identification,action mechanism(s)clarification,and bioavailability improvement.The current review proposed recent advances in producing the food-derived peptides with high anti-hyperuricemia activity by protein source screening and matched enzymatic hydrolysis condition adjusting,increased the knowledge about strategies to search antihyperuricemia peptides with definite structure,and emphasized the necessity of combining computer-aided approaches and activity evaluations.In addition,novel action mechanism mediated by gut microbiota was discussed,providing different insights from classical mechanism.Moreover,considering that little attention was paid previously on the structure-activity relationships of anti-hyperuricemia peptides,we collected the sequences from published studies and make a preliminary summary about the structure-activity relationships,which in turn provided guides for enzymatic hydrolysis optimization and bioavailability improvement.Hopefully,this article could promote the development,application and commercialization of food-derived anti-hyperuricemia peptides in the future.展开更多
Today's sophisticated biomedical research sometimes requires the use of laboratory animals raised in stable micronen vironments free from the microorganisms that may compromise the success of an experiment. Labora...Today's sophisticated biomedical research sometimes requires the use of laboratory animals raised in stable micronen vironments free from the microorganisms that may compromise the success of an experiment. Laboratory rodents can be obtained in one of several categories defined by the degree to which they harbour microflora, whether commensal, potentially pathogenic or pathogenic. It is now possible to specify the different species of organism that are tolerated and those that are not tolerated, In such model laboratory animals it is essential to raise and maintain them in circumstances under which microorganisms that would not be tolerated cannot enter the production system.展开更多
Venom plays several important roles in the life of the fire ant,Solenopsis invicta Buren.Laboratory rearing significantly affected the toxin component of S.invicta.However,the molecular mechanism of the change of veno...Venom plays several important roles in the life of the fire ant,Solenopsis invicta Buren.Laboratory rearing significantly affected the toxin component of S.invicta.However,the molecular mechanism of the change of venomous components when kept in the laboratory is unclear.In this study,RNA sequencing technique(RNA-Seq)was performed to explore differentially expressed genes in the venom gland of S.invicta at 0,10,and 60 days after laboratory rearing.The RNA-Seq results showed that the expression of a large number of genes changed.The DEGs were involved in multiple pathways,including proteolysis,serine-type endopeptidase,and allergen.Furthermore,RNA-Seq and qRT-PCR data revealed that the expression of some genes related to proteolysis and allergen significantly decreased.Thus,our data generated new data relating to toxin-component and the transcriptome dynamics in the venom gland of S.invicta during laboratory rearing.展开更多
This paper highlights the crucial role of Indonesia’s GNSS receiver network in advancing Equatorial Plasma Bubble(EPB)studies in Southeast and East Asia,as ionospheric irregularities within EPB can disrupt GNSS signa...This paper highlights the crucial role of Indonesia’s GNSS receiver network in advancing Equatorial Plasma Bubble(EPB)studies in Southeast and East Asia,as ionospheric irregularities within EPB can disrupt GNSS signals and degrade positioning accuracy.Managed by the Indonesian Geospatial Information Agency(BIG),the Indonesia Continuously Operating Reference Station(Ina-CORS)network comprises over 300 GNSS receivers spanning equatorial to southern low-latitude regions.Ina-CORS is uniquely situated to monitor EPB generation,zonal drift,and dissipation across Southeast Asia.We provide a practical tool for EPB research,by sharing two-dimensional rate of Total Electron Content(TEC)change index(ROTI)derived from this network.We generate ROTI maps with a 10-minute resolution,and samples from May 2024 are publicly available for further scientific research.Two preliminary findings from the ROTI maps of Ina-CORS are noteworthy.First,the Ina-CORS ROTI maps reveal that the irregularities within a broader EPB structure persist longer,increasing the potential for these irregularities to migrate farther eastward.Second,we demonstrate that combined ROTI maps from Ina-CORS and GNSS receivers in East Asia and Australia can be used to monitor the development of ionospheric irregularities in Southeast and East Asia.We have demonstrated the combined ROTI maps to capture the development of ionospheric irregularities in the Southeast/East Asian sector during the G5 Geomagnetic Storm on May 11,2024.We observed simultaneous ionospheric irregularities in Japan and Australia,respectively propagating northwestward and southwestward,before midnight,whereas Southeast Asia’s equatorial and low-latitude regions exhibited irregularities post-midnight.By sharing ROTI maps from Indonesia and integrating them with regional GNSS networks,researchers can conduct comprehensive EPB studies,enhancing the understanding of EPB behavior across Southeast and East Asia and contributing significantly to ionospheric research.展开更多
Viruses are significant pathogens causing severe plant infections and crop losses globally.The resistance mechanisms of rice to viral diseases,particularly Southern rice black-streaked dwarf virus(SRBSDV),remain poorl...Viruses are significant pathogens causing severe plant infections and crop losses globally.The resistance mechanisms of rice to viral diseases,particularly Southern rice black-streaked dwarf virus(SRBSDV),remain poorly understood.In this study,we assessed SRBSDV susceptibility in 20 Xian/indica(XI)and 20 Geng/japonica(GJ)rice varieties.XI-1B accessions in the Xian subgroup displayed higher resistance than GJ accessions.Comparative transcriptome analysis revealed changes in processes like oxidoreductase activity,jasmonic acid(JA)metabolism,and stress response.JA sensitivity assays further linked antiviral defense to the JA pathway.These findings highlight a JA-mediated resistance mechanism in rice and offer insights for breeding SRBSDV-resistant varieties.展开更多
High-concentration single-atom doping remains a formidable challenge due to the propensity for single atoms to form clusters or aggregate at elevated concentrations.Herein,high-concentration (10.8 wt%) Zn singleatom-d...High-concentration single-atom doping remains a formidable challenge due to the propensity for single atoms to form clusters or aggregate at elevated concentrations.Herein,high-concentration (10.8 wt%) Zn singleatom-doped porous tubular g-C_(3)N_(4)(ZCN) was successfully obtained via a template-free,one-step calcination method,exhibiting excellent photocatalytic performance.The confinement of the pore walls suppresses the Zn atom'smigration and aggregation,enhancing the Zn single-atom stability.ZCN exhibited excellent photodegradation performance against tetracycline with outstanding stability.Moreover,ZCN displayed remarkable sterilization performance,achieving a 100%inactivation of Staphylococcus aureus within 90 min of visible-light exposure.Density functional theory calculations demonstrated that the Zn single-atom sites act as pivotal photocatalytic active sites,with the presence of Zn single atoms notably augmenting charge separation efficiency.This work provides a novel approach for managing photocatalytic efficiency through enlarging single-atom doping,offering an avenue for pollutant photodegradation and sterilization.展开更多
A P-band polarimetric synthetic aperture radar(PolSAR)sensor has deep penetration ability into and through the vegetation canopies in forested environments.Thus,the sensor is of great potential to accurately assess fo...A P-band polarimetric synthetic aperture radar(PolSAR)sensor has deep penetration ability into and through the vegetation canopies in forested environments.Thus,the sensor is of great potential to accurately assess forest parameters such as coverage,stand density,and tree height.Unfortunately,the radar backscatter from complex terrain can adversely impact the backscatter from trees or forests,and forest parameters assessed can be erroneous.Thus,reducing the topographic impact is an urgent must.In this study,a topographic compensation algorithm has been studied.To assess the algorithm’s validity and effectiveness,we applied it to P-band PolSAR datasets in four forested areas in the US.Trees in the forest stands have diverse species,and the topographic conditions of the terrain differ.Significant topographic impact on the P-band PolSAR data exists before the topographic compensation algorithm.After the algorithm,the impact decreases noticeably qualitatively and quantitatively.The algorithm is valid and effective in reducing the topographic influence on the PolSAR data and,consequently,provides a better chance of retrieving accurate forest parameters.展开更多
This study explores a novel educational model of generative AI-empowered interdisciplinary project-based learning(PBL).By analyzing the current applications of generative AI technology in information technology curric...This study explores a novel educational model of generative AI-empowered interdisciplinary project-based learning(PBL).By analyzing the current applications of generative AI technology in information technology curricula,it elucidates its advantages and operational mechanisms in interdisciplinary PBL.Combining case studies and empirical research,the investigation proposes implementation pathways and strategies for the generative AI-enhanced interdisciplinary PBL model,detailing specific applications across three phases:project preparation,implementation,and evaluation.The research demonstrates that generative AI-enabled interdisciplinary project-based learning can effectively enhance students’learning motivation,interdisciplinary thinking capabilities,and innovative competencies,providing new conceptual frameworks and practical approaches for educational model innovation.展开更多
Protein glycosylation and phosphorylation,as two of the most important protein post-translational modifications(PTMs),play key roles in living organisms.However,glycopeptides and phosphopeptides have low abundance in ...Protein glycosylation and phosphorylation,as two of the most important protein post-translational modifications(PTMs),play key roles in living organisms.However,glycopeptides and phosphopeptides have low abundance in biological samples.In addition,the low ionization efficiency and the severe signal interference in the presence of other peptides present great difficulties for their direct mass spectrometry(MS)analysis.Therefore,it is important to develop feasible enrichment strategies to pretreat glycopeptides and phosphopeptides in complex samples before MS detection.This paper reviews the application of various magnetic nanomaterials(MNMs)in glycopeptides and phosphopeptides in the last decade,with emphasis on the enrichment principles,the design and synthesis process of the materials,and the effectiveness of the application in biological samples.In addition,possible future trends and potential challenges are presented.展开更多
The passing of Professor Wolter“Wolt”Fabrycky,an outstanding member and great leader,is a big loss to our international systems engineering professional community.“Wolt was a legend in the systems engineering commu...The passing of Professor Wolter“Wolt”Fabrycky,an outstanding member and great leader,is a big loss to our international systems engineering professional community.“Wolt was a legend in the systems engineering community with his teaching,advising,and dissemination of knowledge through the books he authored.”,as stated by Professor Eileen Aken,a former student of Wolt and the head of the Virginia Tech’s Grado Department of Industrial and Systems Engineeirng where Wolt had served and led for 30 years and retired as John L.Lawrence Professor emeritus.展开更多
Ionospheric scintillation refers to rapid radio signal amplitude and phase fluctuations due to small-scale irregularities in the ionosphere.Occurring primarily at equatorial and low latitudes,scintillation is linked t...Ionospheric scintillation refers to rapid radio signal amplitude and phase fluctuations due to small-scale irregularities in the ionosphere.Occurring primarily at equatorial and low latitudes,scintillation is linked to equatorial plasma bubbles(EPBs),regions of depleted plasma density that form after sunset.Ionospheric scintillation typically occurs from post-sunset hours until midnight.Post-sunset EPBs can be enhanced or suppressed during geomagnetic storms,depending on local sunset timing and how it relates to the storm's main or recovery phases.This study analyzes ionospheric scintillation in Indonesia,located at low geomagnetic and geographic latitudes,during geomagnetic events from 2003 to 2024.Using the S4 index,scintillation was examined with data from seven observation stations during geomagnetic storm events.Geomagnetic activity was evaluated using Dst,SYM-H,and AE indices,employing Superposed Epoch Analysis(SEA)to assess scintillation occurrence linked to minimum SYM-H,defined as epoch 0 to represent the storm peak or the onset of recovery phase in each event.The analysis categorized geomagnetic storms into weak-moderate(–100 nT<min.Dst≤–30 nT)and strong(min.Dst≤–100 nT),and examined their dependence on the local time of minimum SYM-H.Results indicate that scintillation first appears~6 hours after epoch 0 in weak-moderate geomagnetic storms,and~12 hours after epoch 0 in strong geomagnetic storms.The average AE index returns to its baseline value(quiet condition)~6 and~12 hours after epoch 0 for weak-moderate and strong geomagnetic storms,respectively.Further analysis based on the classification of the local time of epoch 0 shows that scintillation occurrence is not observed in post-sunset hours when epoch 0 falls between 16:00 and 19:00 LT for weak-moderate geomagnetic storms.In strong geomagnetic storms,scintillation occurrence during post-sunset hours is absent when epoch 0 is between 10:00 and 19:00 LT.Notably,when the minimum SYM-H(epoch 0)nearly coincides with local sunset,scintillation activity occurs around sunset in both weak-moderate and strong geomagnetic storms.Furthermore,when epoch 0 falls within midnight until early morning,scintillation can be generated in the post-sunset hours before epoch 0.Still,post-midnight scintillation is not observed in the equatorial region during the recovery phase of either weak-moderate and strong storm events.Our findings show that when sunset falls before or coincide with epoch 0,the likelihood of post-sunset EPB and scintillation increases,due to the prompt-penetration electric field(PPEF)in the main phase of storm.The disturbance dynamo electric field(DDEF)in the recovery phase driven by equatorward winds from auroral Joule heating operates for at least 6-and 12-hours post-epoch 0 in the cases of weak-moderate and strong geomagnetic storms,respectively.When the local sunset falls within these operational DDEF periods,post-sunset EPBs will likely be suppressed,inhibiting ionospheric scintillation during post-sunset hours.Finally,this study provides essential information for developing more accurate ionospheric scintillation prediction models in space weather services in equatorial regions.展开更多
Pulmonary embolism(PE)can range from minor,asymptomatic blood clots to life-threatening emboli capable of obstructing pulmonary arteries,potentially leading to cardiac arrest and fatal outcomes.Due to this significant...Pulmonary embolism(PE)can range from minor,asymptomatic blood clots to life-threatening emboli capable of obstructing pulmonary arteries,potentially leading to cardiac arrest and fatal outcomes.Due to this significant mortality risk,risk stratification is essential following PE diagnosis to guide appropriate therapeutic intervention.This study proposes a machine learning-based methodology for PE risk stratification,utilizing clinical data from a cohort of 139 patients.The predictive framework integrates an enhanced binary Honey Badger Algorithm(BCCHBA)with the K-Nearest Neighbor(KNN)classifier.To comprehensively evaluate the performance of the core optimization algorithm(CCHBA),a series of benchmark function tests were conducted.Furthermore,diagnostic validation tests were performed using real-world PE patient data collected from medical facilities,demonstrating the clinical significance and practical utility of the BCCHBA-KNN system.Analysis revealed the critical importance of specific indicators,including neutrophil percentage(NEUT%),systolic blood pressure(SBP),oxygen saturation(SaO2%),white blood cell count(WBC),and syncope.The classification results demonstrated exceptional performance,with the prediction model achieving 100%sensitivity and 99.09%accuracy.This approach holds promise as a novel and accurate method for assessing PE severity.展开更多
基金partially supported by the Science and Technology Development Fund of Macao SAR(0050/2020/A1)。
文摘DO we need a fundamental change in our professional culture and knowledge foundation for control and automation?If so,what are necessary and critical steps we must take to ensure such a change would take place effectively and efficiently,or more general,smoothly and sustainably?
基金supported by the National High Technology Research and Development Program(863 program)of China(2012AA101906-2)the National Natural Science Foundation of China(3140030594)
基金supported in part by National Natural Science Foundation of China(61533017,61273140,61304079,61374105,61379099,61233001)Fundamental Research Funds for the Central Universities(FRF-TP-15-056A3)the Open Research Project from SKLMCCS(20150104)
基金supported by grants from the Key Research Program of Frontier Sciences,CAS(QYZDJSSW-DQC027)National Natural Science Foundation of China(31770757,31770758)+1 种基金the Consultation Project supported by Divisions of the Chinese Academy of Sciences(2019-ZW09-A-032)“Research on Development of Key Subjects in 2020−2021”from Ecological Society of China.
文摘A protective forest,including shelterbelt,windbreak,and shelter forest as its synonyms,is characterized by the protective functions of various forest types distributed or planted on ecologically fragile areas or nearby the objects that need to be protected using the ecological effects of forests.Ecological mechanisms for management practices of protective forests is one of the disciplinary orientations in forest ecology and management.Most protective forest studies are dependent on forestry eco-engineering,such as the Great Plains Shelterbelt Project in the United States,the Great Plan for the Transformation of Nature in the Soviet Union,and the Three-North Afforestation Program in China.The development of sustainable management of protective forests has been given increasing attention by governments,scientists,and media due to their impacts on environment conservation and global change.We introduce forestry ecoengineering and provide a review of their main ecological mechanisms for management practices of protective forests.Ecological mechanisms for management systems currently applied are emphasized,i.e.,the theory of protection maturity and phase-directional management;the relationship between structure and protective functions and structural optimization measures;and,the decline mechanism and ecological restoration strategies.In addition,several unresolved problems in management practices of protective forests are discussed as well as the prospects for ecological mechanisms for management practices of protective forests in the future,which include:(1)theories and technologies for management practices of protective forests at the landscape or regional scale;(2)the decline mechanisms and corresponding ecological restoration approaches across multiple scales;and,(3)the comprehensive assessment of forestry eco-engineering at large-scales based on ecosystem principles.
文摘These days' smart buildings have high intensive information and massive operational parameters, not only extensive power consumption. With the development of computation capability and future 5 G, the ACP theory(i.e., artificial systems,computational experiments, and parallel computing) will play a much more crucial role in modeling and control of complex systems like commercial and academic buildings. The necessity of making accurate predictions of energy consumption out of a large number of operational parameters has become a crucial problem in smart buildings. Previous attempts have been made to seek energy consumption predictions based on historical data in buildings. However, there are still questions about parallel building consumption prediction mechanism using a large number of operational parameters. This article proposes a novel hybrid deep learning prediction approach that utilizes long short-term memory as an encoder and gated recurrent unit as a decoder in conjunction with ACP theory. The proposed approach is tested and validated by real-world dataset, and the results outperformed traditional predictive models compared in this paper.
基金supported by the National Health and Family Planning Commission(201302006)
文摘While presenting biological characteristics of vaccinia virus and laboratory-acquired infections during related research processes, this paper focuses on benefits and risks of vaccinia virus immunization in relation to laboratory-acquired infections, describes characteristics and the adaptation of vaccinia virus vaccine, analyses the role vaccinia virus immunization plays in the prevention and control of laboratory-acquired infections, and finally proposes solutions and countermeasures to further promote and implement immune control strategies. The problem related to immune strategy and laboratory- acquired infections which is being raised, analyzed and explored plays an active and instructive role in vaccinia virus related researches and laboratory- acquired infections, and also helps to recommend and develop relevant immune strategy for future vaccine control of such infections.
基金supported in part by the National Key Research and Development Program of China(2018YFB1702701)the National Natural Science Foundation of China(61773381,61773382)+1 种基金Dongguan’s Innovation Talents Project(Gang Xiong)Chinese Guangdong’s Science and Technology Project(2017B090912001)
文摘Based on ACP(artificial systems,computational experiments,and parallel execution)methodology,parallel control and management has become a popularly systematic and complete solution for the control and management of complex systems.This paper focuses on summarizing comprehensive review of the research literature of parallel control and management achieved in the recent years including the theoretical framework,core technologies,and the application demonstration.The future research,application directions,and suggestions are also discussed.
基金funded by research grants from the Jiangsu Provincial Double-Innovation Team Program(JSSCTD202147)Nutrition and Care of Maternal and Child Research Fund Project of the Biostime Institute of Nutrition and Care(Grant No.2022BINCMCF006)+1 种基金the Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX22_3527)the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD).
文摘Obesity is a prevalent chronic disease that has significant negative impacts on humans and our companion animals,including dogs and cats.Obesity occurs with multiple comorbidities,such as diabetes,hypertension,heart disease and osteoarthritis in dogs and cats.A direct link between lipid metabolism dysregulation and obesity-associated diseases has been implicated.However,the understanding of such pathophysiology in companion animals is lim-ited.This review aims to address the role of lipid metabolism in various metabolic disorders associated with obesity,emphasizing the involvement of the gut microbiota.Furthermore,we also discuss the management of obesity,including approaches like nutritional interventions,thus providing novel insights into obesity prevention and treatment for canines and felines.
基金sponsored by the National Natural Science Foundation China(32270115)National Key R&D Program of China(2018YFD0901102)+1 种基金Fundamental Research Funds for the Provincial Universities of Zhejiang(SJLY2021015)K.C.Wong Magna Fund of Ningbo University。
文摘Hyperuricemia,a metabolic disorder related to uric acid metabolism dysregulation,has become a common metabolic disease worldwide,due to changes in lifestyle and dietary structure.In recent years,owing to their high activity and few adverse effects,food-derived active peptides used as functional foods against hyperuricemia have attracted increasing attention.This article aims to focus on the challenge associated with peptide-specific preparation methods development,functional components identification,action mechanism(s)clarification,and bioavailability improvement.The current review proposed recent advances in producing the food-derived peptides with high anti-hyperuricemia activity by protein source screening and matched enzymatic hydrolysis condition adjusting,increased the knowledge about strategies to search antihyperuricemia peptides with definite structure,and emphasized the necessity of combining computer-aided approaches and activity evaluations.In addition,novel action mechanism mediated by gut microbiota was discussed,providing different insights from classical mechanism.Moreover,considering that little attention was paid previously on the structure-activity relationships of anti-hyperuricemia peptides,we collected the sequences from published studies and make a preliminary summary about the structure-activity relationships,which in turn provided guides for enzymatic hydrolysis optimization and bioavailability improvement.Hopefully,this article could promote the development,application and commercialization of food-derived anti-hyperuricemia peptides in the future.
文摘Today's sophisticated biomedical research sometimes requires the use of laboratory animals raised in stable micronen vironments free from the microorganisms that may compromise the success of an experiment. Laboratory rodents can be obtained in one of several categories defined by the degree to which they harbour microflora, whether commensal, potentially pathogenic or pathogenic. It is now possible to specify the different species of organism that are tolerated and those that are not tolerated, In such model laboratory animals it is essential to raise and maintain them in circumstances under which microorganisms that would not be tolerated cannot enter the production system.
基金This study was approved by the Institutional Review Board(IRB)Institutional of Plant Protection and Microbiology,Zhejiang Academy of Agricultural Sciences.The approval code is 2020AWE061801The approval date is June 19,2020.
文摘Venom plays several important roles in the life of the fire ant,Solenopsis invicta Buren.Laboratory rearing significantly affected the toxin component of S.invicta.However,the molecular mechanism of the change of venomous components when kept in the laboratory is unclear.In this study,RNA sequencing technique(RNA-Seq)was performed to explore differentially expressed genes in the venom gland of S.invicta at 0,10,and 60 days after laboratory rearing.The RNA-Seq results showed that the expression of a large number of genes changed.The DEGs were involved in multiple pathways,including proteolysis,serine-type endopeptidase,and allergen.Furthermore,RNA-Seq and qRT-PCR data revealed that the expression of some genes related to proteolysis and allergen significantly decreased.Thus,our data generated new data relating to toxin-component and the transcriptome dynamics in the venom gland of S.invicta during laboratory rearing.
基金JSPS KAKENHI Grant Number16H06286 supports global GNSS ionospheric maps (TEC,ROTI,and detrended TEC maps) developed by the Institute for SpaceEarth Environmental Research (ISEE) of Nagoya Universitysupport of the 2024 JASSO Follow-up Research Fellowship Program for a 90-day visiting research at the Institute for Space-Earth Environmental Research (ISEE),Nagoya University+3 种基金the support received from Telkom University under the“Skema Penelitian Terapan Periode I Tahun Anggaran 2024”the Memorandum of Understanding for Research Collaboration on Regional Ionospheric Observation (No:092/SAM3/TE-DEK/2021)the National Institute of Information and Communications Technology (NICT) International Exchange Program 2024-2025(No.2024-007)support for a one-year visiting research at Hokkaido University
文摘This paper highlights the crucial role of Indonesia’s GNSS receiver network in advancing Equatorial Plasma Bubble(EPB)studies in Southeast and East Asia,as ionospheric irregularities within EPB can disrupt GNSS signals and degrade positioning accuracy.Managed by the Indonesian Geospatial Information Agency(BIG),the Indonesia Continuously Operating Reference Station(Ina-CORS)network comprises over 300 GNSS receivers spanning equatorial to southern low-latitude regions.Ina-CORS is uniquely situated to monitor EPB generation,zonal drift,and dissipation across Southeast Asia.We provide a practical tool for EPB research,by sharing two-dimensional rate of Total Electron Content(TEC)change index(ROTI)derived from this network.We generate ROTI maps with a 10-minute resolution,and samples from May 2024 are publicly available for further scientific research.Two preliminary findings from the ROTI maps of Ina-CORS are noteworthy.First,the Ina-CORS ROTI maps reveal that the irregularities within a broader EPB structure persist longer,increasing the potential for these irregularities to migrate farther eastward.Second,we demonstrate that combined ROTI maps from Ina-CORS and GNSS receivers in East Asia and Australia can be used to monitor the development of ionospheric irregularities in Southeast and East Asia.We have demonstrated the combined ROTI maps to capture the development of ionospheric irregularities in the Southeast/East Asian sector during the G5 Geomagnetic Storm on May 11,2024.We observed simultaneous ionospheric irregularities in Japan and Australia,respectively propagating northwestward and southwestward,before midnight,whereas Southeast Asia’s equatorial and low-latitude regions exhibited irregularities post-midnight.By sharing ROTI maps from Indonesia and integrating them with regional GNSS networks,researchers can conduct comprehensive EPB studies,enhancing the understanding of EPB behavior across Southeast and East Asia and contributing significantly to ionospheric research.
基金funded by the National Key Research and Development Plan of China(2023YFD1400300)National Natural Science Foundation of China(U23A6006,32270149,32272555)+1 种基金Zhejiang Provincial Natural Science Foundation(LZ22C140001)the Ningbo Major Research and Development Plan Project(2023Z124).
文摘Viruses are significant pathogens causing severe plant infections and crop losses globally.The resistance mechanisms of rice to viral diseases,particularly Southern rice black-streaked dwarf virus(SRBSDV),remain poorly understood.In this study,we assessed SRBSDV susceptibility in 20 Xian/indica(XI)and 20 Geng/japonica(GJ)rice varieties.XI-1B accessions in the Xian subgroup displayed higher resistance than GJ accessions.Comparative transcriptome analysis revealed changes in processes like oxidoreductase activity,jasmonic acid(JA)metabolism,and stress response.JA sensitivity assays further linked antiviral defense to the JA pathway.These findings highlight a JA-mediated resistance mechanism in rice and offer insights for breeding SRBSDV-resistant varieties.
基金financially supported by the National Key Research and Development Program of China(No.2023YFF0612601)the Key Research and Development Program of Zhejiang Province(No.2023C02038)+2 种基金the Key Research and Development Program of Ningbo(No.2022Z178)China Construction Technology Research and Development Project(No.CSCEC-2021-Z-5)Zhejiang Provincial Natural Science Foundation of China(No.LQ23B010003)
文摘High-concentration single-atom doping remains a formidable challenge due to the propensity for single atoms to form clusters or aggregate at elevated concentrations.Herein,high-concentration (10.8 wt%) Zn singleatom-doped porous tubular g-C_(3)N_(4)(ZCN) was successfully obtained via a template-free,one-step calcination method,exhibiting excellent photocatalytic performance.The confinement of the pore walls suppresses the Zn atom'smigration and aggregation,enhancing the Zn single-atom stability.ZCN exhibited excellent photodegradation performance against tetracycline with outstanding stability.Moreover,ZCN displayed remarkable sterilization performance,achieving a 100%inactivation of Staphylococcus aureus within 90 min of visible-light exposure.Density functional theory calculations demonstrated that the Zn single-atom sites act as pivotal photocatalytic active sites,with the presence of Zn single atoms notably augmenting charge separation efficiency.This work provides a novel approach for managing photocatalytic efficiency through enlarging single-atom doping,offering an avenue for pollutant photodegradation and sterilization.
基金supported by the National Natural Science Foundation of China under Grants No.41771401 and No.42350710201.
文摘A P-band polarimetric synthetic aperture radar(PolSAR)sensor has deep penetration ability into and through the vegetation canopies in forested environments.Thus,the sensor is of great potential to accurately assess forest parameters such as coverage,stand density,and tree height.Unfortunately,the radar backscatter from complex terrain can adversely impact the backscatter from trees or forests,and forest parameters assessed can be erroneous.Thus,reducing the topographic impact is an urgent must.In this study,a topographic compensation algorithm has been studied.To assess the algorithm’s validity and effectiveness,we applied it to P-band PolSAR datasets in four forested areas in the US.Trees in the forest stands have diverse species,and the topographic conditions of the terrain differ.Significant topographic impact on the P-band PolSAR data exists before the topographic compensation algorithm.After the algorithm,the impact decreases noticeably qualitatively and quantitatively.The algorithm is valid and effective in reducing the topographic influence on the PolSAR data and,consequently,provides a better chance of retrieving accurate forest parameters.
文摘This study explores a novel educational model of generative AI-empowered interdisciplinary project-based learning(PBL).By analyzing the current applications of generative AI technology in information technology curricula,it elucidates its advantages and operational mechanisms in interdisciplinary PBL.Combining case studies and empirical research,the investigation proposes implementation pathways and strategies for the generative AI-enhanced interdisciplinary PBL model,detailing specific applications across three phases:project preparation,implementation,and evaluation.The research demonstrates that generative AI-enabled interdisciplinary project-based learning can effectively enhance students’learning motivation,interdisciplinary thinking capabilities,and innovative competencies,providing new conceptual frameworks and practical approaches for educational model innovation.
基金supported by National Key Research and Development Program of China(No.2023YFF0613402)。
文摘Protein glycosylation and phosphorylation,as two of the most important protein post-translational modifications(PTMs),play key roles in living organisms.However,glycopeptides and phosphopeptides have low abundance in biological samples.In addition,the low ionization efficiency and the severe signal interference in the presence of other peptides present great difficulties for their direct mass spectrometry(MS)analysis.Therefore,it is important to develop feasible enrichment strategies to pretreat glycopeptides and phosphopeptides in complex samples before MS detection.This paper reviews the application of various magnetic nanomaterials(MNMs)in glycopeptides and phosphopeptides in the last decade,with emphasis on the enrichment principles,the design and synthesis process of the materials,and the effectiveness of the application in biological samples.In addition,possible future trends and potential challenges are presented.
文摘The passing of Professor Wolter“Wolt”Fabrycky,an outstanding member and great leader,is a big loss to our international systems engineering professional community.“Wolt was a legend in the systems engineering community with his teaching,advising,and dissemination of knowledge through the books he authored.”,as stated by Professor Eileen Aken,a former student of Wolt and the head of the Virginia Tech’s Grado Department of Industrial and Systems Engineeirng where Wolt had served and led for 30 years and retired as John L.Lawrence Professor emeritus.
基金supported by the National Research and Innovation Agency(BRIN),Indonesia.
文摘Ionospheric scintillation refers to rapid radio signal amplitude and phase fluctuations due to small-scale irregularities in the ionosphere.Occurring primarily at equatorial and low latitudes,scintillation is linked to equatorial plasma bubbles(EPBs),regions of depleted plasma density that form after sunset.Ionospheric scintillation typically occurs from post-sunset hours until midnight.Post-sunset EPBs can be enhanced or suppressed during geomagnetic storms,depending on local sunset timing and how it relates to the storm's main or recovery phases.This study analyzes ionospheric scintillation in Indonesia,located at low geomagnetic and geographic latitudes,during geomagnetic events from 2003 to 2024.Using the S4 index,scintillation was examined with data from seven observation stations during geomagnetic storm events.Geomagnetic activity was evaluated using Dst,SYM-H,and AE indices,employing Superposed Epoch Analysis(SEA)to assess scintillation occurrence linked to minimum SYM-H,defined as epoch 0 to represent the storm peak or the onset of recovery phase in each event.The analysis categorized geomagnetic storms into weak-moderate(–100 nT<min.Dst≤–30 nT)and strong(min.Dst≤–100 nT),and examined their dependence on the local time of minimum SYM-H.Results indicate that scintillation first appears~6 hours after epoch 0 in weak-moderate geomagnetic storms,and~12 hours after epoch 0 in strong geomagnetic storms.The average AE index returns to its baseline value(quiet condition)~6 and~12 hours after epoch 0 for weak-moderate and strong geomagnetic storms,respectively.Further analysis based on the classification of the local time of epoch 0 shows that scintillation occurrence is not observed in post-sunset hours when epoch 0 falls between 16:00 and 19:00 LT for weak-moderate geomagnetic storms.In strong geomagnetic storms,scintillation occurrence during post-sunset hours is absent when epoch 0 is between 10:00 and 19:00 LT.Notably,when the minimum SYM-H(epoch 0)nearly coincides with local sunset,scintillation activity occurs around sunset in both weak-moderate and strong geomagnetic storms.Furthermore,when epoch 0 falls within midnight until early morning,scintillation can be generated in the post-sunset hours before epoch 0.Still,post-midnight scintillation is not observed in the equatorial region during the recovery phase of either weak-moderate and strong storm events.Our findings show that when sunset falls before or coincide with epoch 0,the likelihood of post-sunset EPB and scintillation increases,due to the prompt-penetration electric field(PPEF)in the main phase of storm.The disturbance dynamo electric field(DDEF)in the recovery phase driven by equatorward winds from auroral Joule heating operates for at least 6-and 12-hours post-epoch 0 in the cases of weak-moderate and strong geomagnetic storms,respectively.When the local sunset falls within these operational DDEF periods,post-sunset EPBs will likely be suppressed,inhibiting ionospheric scintillation during post-sunset hours.Finally,this study provides essential information for developing more accurate ionospheric scintillation prediction models in space weather services in equatorial regions.
文摘Pulmonary embolism(PE)can range from minor,asymptomatic blood clots to life-threatening emboli capable of obstructing pulmonary arteries,potentially leading to cardiac arrest and fatal outcomes.Due to this significant mortality risk,risk stratification is essential following PE diagnosis to guide appropriate therapeutic intervention.This study proposes a machine learning-based methodology for PE risk stratification,utilizing clinical data from a cohort of 139 patients.The predictive framework integrates an enhanced binary Honey Badger Algorithm(BCCHBA)with the K-Nearest Neighbor(KNN)classifier.To comprehensively evaluate the performance of the core optimization algorithm(CCHBA),a series of benchmark function tests were conducted.Furthermore,diagnostic validation tests were performed using real-world PE patient data collected from medical facilities,demonstrating the clinical significance and practical utility of the BCCHBA-KNN system.Analysis revealed the critical importance of specific indicators,including neutrophil percentage(NEUT%),systolic blood pressure(SBP),oxygen saturation(SaO2%),white blood cell count(WBC),and syncope.The classification results demonstrated exceptional performance,with the prediction model achieving 100%sensitivity and 99.09%accuracy.This approach holds promise as a novel and accurate method for assessing PE severity.
