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Intelligent speed adaptation for visibility technology affects drivers’speed selection along curves with sight limitations

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Journal of Traffic and Transportation engineering(english edition) 2024年第1期11卷 16-27页

作者： Abrar Hazoor Alberto terrafino leandro l.di Stasi Marco Bassani Department of environment Landand Infrastructure EngineeringPolitecnico di TorinoTorino 10129Italy Road Traffic division Nord UniversityStjørdal 7502Norway Mind Brainand Behavior Research Centre(CIMCYC)University of GranadaGranada 18071Spain

Sight obstructions along road curves can lead to a crash if the driver is not able to stop the vehicle in *** is a particular issue along curves with limited available sight,where speed management is necessary to avoid unsafe situations(e.g.,driving off the road or invading the other traffic lane).To solve this issue,we proposed a novel intelligent speed adaptation(ISA)system for visibility,called V-ISA(intelligent speed adaptation for visibility).It estimates the real-time safe speed limits based on the prevailing sight conditions.V-ISA comes with three variants with specific feedback modalities(1)visual and(2)auditory information,and(3)direct intervention to assume control over the vehicle ***,we investigated the efficiency of each of the three V-ISA variants on driving speed choice and lateral behavioural response along road curves with limited and unsafe available sight distances,using a driving *** also considered curve road geometry(curve direction:rightward ***).Sixty active drivers were recruited for the *** half of them(experimental group)tested the three V-ISA variants(and a V-ISA off condition),the other half always drove with the V-ISA off(validation group).We used a linear mixed-effect model to evaluate the influence of V-ISA on driver *** V-ISA variants were efficient at reducing speeds at entrance points,with no discernible negative impact on driver lateral *** rightward curves,the V-ISA intervening variant appeared to be the most effective at adapting to sight *** of the current study implies that V-ISA might assist drivers to adjust their operating speed as per prevailing sight conditions and,consequently,establishes safer driving conditions.

关键词： Sight distance Intelligent speed adaptation Driver behaviour Road safety Driving simulation Advanced driver assistance systems

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GUe via Frobenius *** Matrix Gravity to Topological Gravity and Back

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Acta Mathematica Sinica,english Series 2024年第1期40卷 383-405页

作者： di YANG School of Mathematical Sciences University of Science and Technology of ChinaHefei 230026P.R.China

Dubrovin establishes a certain relationship between the GUe partition function and the partition function of Gromov-Witten invariants of the complex projective *** this paper,we give a direct proof of Dubrovin’s *** ... 详细信息

关键词： Frobenius manifold Dubrovin-Zhang hierarchy GUe Toda lattice hierarchy jet space topological gravity matrix gravity

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local Application of Combined Drugs of Natural essential Oils for the Prevention of Acute Pharyngitis

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International Journal of Otolaryngology and Head & Neck Surgery 2024年第5期13卷 311-320页

作者： diāna Katoviča Marks Ronis Beāte Rundāne Pauls Stradins Clinical University Hospital Riga Latvia Childrens Clinical University Hospital Riga Latvia Faculty of Medicine Rga Stradi University Riga Latvia

Objective: Viral pharyngitis, commonly known as a sore throat, is a widespread condition affecting people of all ages globally. This study aimed to assess the effectiveness of a medical device containing the combined drugs of natural essential oils (CDNeO) formulation in managing throat pain in patients with acute viral pharyngitis. With the growing resistance to traditional antibacterial treatments, essential oils have attracted interest for their potential analgesic, anti-inflammatory, and antibacterial properties. Results: The study involved 81 patients randomly divided into two groups: those taking a medical device containing combined drugs of natural essential oils (CDNeO) and those taking a placebo. A questionnaire was used to assess throat pain among the participants, with 45 receiving the CDNeO and 36 the placebo. The CDNeO group experienced a significant reduction in throat pain, with the average VAS score decreasing from 5.36 to 1.09, compared to the placebo group, which saw a decrease from 4.97 to 2.19. This difference, with p Conclusion: By using a double-blind research method, it was possible to evaluate the effectiveness of the oils more objectively, since there was also a control placebo group. The study shows that CDNeO significantly reduces throat pain and decreases the need for additional pain relief medication in patients with acute viral pharyngitis. The findings suggest that natural essential oils could serve as an alternative treatment for pharyngitis, particularly in efforts to minimize NSAID use and combat antibiotic resistance.

关键词： Sore Throat essential Oils NSAID Acute Viral Pharyngitis Natural Treatment

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The Functional Redundancy of Neddylation e2s and e3s in Modulating the Fitness of Regulatory T Cells

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Research 2024年第2期2023卷 373-387页

作者： di Wu Yi Sun Cancer Institute(Key laboratory of Cancer Prevention and Intervention China National Ministry of Education)of the Second Affiliated Hospital and Institute of Translational MedicineZhejiang University School of MedicineHangzhou 310029China Cancer Center of Zhejiang University Hangzhou 310029China Zhejang Provincial Clinical Research Center for Cancer Zhejang ProvinceChina Key laboratory of Molecular Biology in Medical Sciences Zhejang ProvinceChina Research Center for life Science and Human Health Binjiang Institute of Zhejiang UniversityHangzhou 310053China

Neddylation is necessary for activation of Cullin-RING ligases(CRls),which degrade various immune regulatory *** recent study showed that while depletion of neddylation e2-e3 pair Ube2f-Sag in regulatory T(T_(reg))cells had no obvious phenotype,the same depletion of either Ube2m or Rbx1 caused inflammation disorders with different *** these e2s or e3s compensate each other in functional regulations of T_(reg)cells is,however,previously *** this report,we generated Foxp3^(Cre);Ube2m^(fl/fl);Ube2f^(fl/fl)or Foxp3^(Cre);Rbx1^(fl/fl);Sag^(fl/fl)double-null mice by simultaneous deletion of both neddylation e2s or e3s in T_(reg)cells,***,Ube2m&Ube2f double-null mice developed much severe autoimmune phenotypes than did Ube2m-null mice,indicating that Ube2m markedly compensates Ube2f in T_(reg)*** minor worsened autoimmune phenotypes seen at the very early stage in Rbx1&Sag double-null than Rbx1-null mice is likely due to already severe phenotypes of the later,indicating a minor compensation of Rbx1 for *** RNA profiling-based analyses revealed that up-and down-regulations of few signaling pathways in T_(reg)cells are associated with the severity of autoimmune ***,severer inflammation phenotypes seen in mice with double e3-null than with double e2-null T_(reg)cells indicate a neddylation-independent mechanism of 2 e3s,also known to serve as the RING component of CRls in regulation of T_(reg)cell fitness.

关键词： Foxp3 inflammation markedly

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Progress in preparation of AlN-reinforced magnesium matrix composites:A review

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China Foundry 2024年第1期21卷 1-10页

作者： lu Chen Shu-lin lü di-jia Zhao Wei Guo Jian-yu li Shu-sen Wu State Key lab of Materials Processing and die&Mould technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

As a ceramic material,AlN has very good thermophysical and mechanical *** addition,AlN is an effective refining agent for Mg alloys because it has a lattice constant similar to that of ***,AlN is an ideal reinforcement for magnesium matrix composites(MMCs),and is attracting increasing *** review addresses the development of preparation technologies for AlN-reinforced Mg matrix *** mainstream preparation techniques include stir casting,melt infiltration,powder metallurgy,and in-situ *** addition,the advantages and disadvantages of these techniques are analyzed in depth,and it is pointed out that the next direction for the preparation of high-performance AlN-reinforced MMCs is less aluminization and multiple technologies integration.

关键词： AlN MMCs preparation thermophysical property mechanical property

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Synthesis of hierarchically porous carbon materials by zinc salts-assisted carbonization of biomass and organic solid wastes

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Particuology 2024年第1期84卷 45-52页

作者： le-le Zhang lei Tong Yanwei ding Wanqun Zhang Hai-Wei liang Hefei National Research Center for Physical Sciences at the Microscale Department of ChemistryUniversity of Science and Technology of ChinaHefei230026China

Hierarchically porous carbons(HPCs)with multimodal pores have attracted considerable attention due to their unique physical and chemical properties and various application potentials in heterogeneous catalysis,environmental treatment,and energy storage and ***,we report a general and simple zinc salts-assisted method for the synthesis of HPCs with varied porosity and chemical func-tionalities by the direct carbonization of diverse biomass and *** the carbonization,zinc salts are thermally decomposed into nanoparticles that serve as in-situ templates to introduce nanopores in *** prepared HPCs exhibit high specific surface areas(up to 2432 m2 g-1),large pore volumes(up to 4.30 cm^(3)g^(-1)),and broad pore size ***,the zinc salts can be recovered and recycled,supporting the sustainable production of HPCs on large *** prepared HPCs-supported catalysts with atomically dispersed metal sites exhibit promising electrocatalytic performance for the oxygen reduction reaction.

关键词： Hierarchical porous carbon Zinc salts Biomass Wastes electrocatalysis

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Contrasting physical mechanisms of yellowfin tuna fluctuations between the western and eastern Indian Ocean

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Journal of Oceanology and limnology 2024年第3期42卷 960-971页

作者： Peng lIAN le GAO Key laboratory of Ocean Observation and Forecasting and Key laboratory of Ocean Circulation and Waves Institute of OceanologyChinese Academy of SciencesQingdao 266071China University of Chinese Academy of Sciences Beijing 100049China laboratory for Ocean Dynamics and Climate Laoshan LaboratoryQingdao 266061China

As an economically critical pelagic migratory species,yellowfin tuna(Thunnus albacores,YFT)is very sensible to physical and environmental conditions,such as sea surface temperature(SST),ocean heat content(OHC),and the mixed layer depth(MlD).We investigated the impact of SST,OHC,and MlD on fluctuations of YFT catch in the western/eastern Indian Ocean using the long time series of 63-year environmental and YFT *** found that the impact of SST on YFT was heavily overestimated in the past,and MlD plays a more critical role in the YFT catch *** the MlD deepens(>34.8 m),SST was more influential in predicting the catches of YFT than OHC in the western Indian Ocean,and OHC was more critical to YFT than SST in the eastern Indian ***,when the MlD shallows(lD was more vital to predict the catch per unit effort(CPUe)of YFT than SST/OHC in the *** 2000,there was an asynchronous pattern of YFT CPUe induced by higher frequency variations and ocean hiatus of SST/OHC signals in the western and eastern Indian Oceans *** impact of the subsurface hiatus may induce the decrease of YFT in the eastern Indian *** above findings clarified a non-stationary relationship between the environmental factors and catches of YFT and provided new insights into variations in YFT abundance.

关键词： yellowfin tuna Indian Ocean sea surface temperature(SST) ocean heat content(OHC) mixed layer depth(MlD) hiatus

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Impacts of central-Pacific el Niño and physical drivers on eastern Pacific bigeye tuna

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Journal of Oceanology and limnology 2024年第3期42卷 972-987页

Bigeye tuna Thunnus obesus is an important migratory species that forages deeply,and el Niño events highly influence its distribution in the eastern Pacific *** sea surface temperature is widely recognized as the main factor affecting bigeye tuna(BeT)distribution during el Niño events,the roles of different types of el Niño and subsurface oceanic signals,such as ocean heat content and mixed layer depth,remain *** conducted A spatial-temporal analysis to investigate the relationship among BeT distribution,el Niño events,and the underlying oceanic signals to address this knowledge *** used monthly purse seine fisheries data of BeT in the eastern tropical Pacific Ocean(eTPO)from 1994 to 2012 and extracted the central-Pacific el Niño(CPeN)indices based on Niño 3 and Niño ***,we employed explainable Artificial Intelligence(XAI)models to identify the main patterns and feature importance of the six environmental variables and used information flow analysis to determine the causality between the selected factors and BeT ***,we analyzed Argo datasets to calculate the vertical,horizontal,and zonal mean temperature differences during CPeN and normal years to clarify the oceanic thermodynamic structure differences between the two types of *** findings reveal that BeT distribution during the CPeN years is mainly driven by advection feedback of subsurface warmer thermal signals and vertically warmer habitats in the CPeN domain area,especially in high-yield fishing *** high frequency of CPeN events will likely lead to the westward shift of fisheries centers.

关键词： bigeye tuna central-Pacific el Niño(CPeN) ocean heat content Argo explainable artificial intelligence(XAI) information flow

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Regulation of insect behavior by non-coding RNAs

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Science China(life Sciences) 2024年第6期67卷 1106-1118页

作者： Jing He le Kang State Key laboratory of Integrated Management of Pest Insects and Rodents Institute of ZoologyChinese Academy of SciencesBeijing 100101China Beijing Institutes of life Sciences Chinese Academy of SciencesBeijing 100101China College of life Science Hebei UniversityBaoding 071002China

The adaptation of insects to environments relies on a sophisticated set of behaviors controlled by molecular and physiological *** the past several decades,accumulating studies have unveiled the roles of non-coding RNAs(nc RNAs)in regulating insect *** RNAs assume particularly pivotal roles in the behavioral plasticity of insects by rapidly responding to environmental *** RNAs also contribute to the maintenance of homeostasis of insects by fine-tuning the expression of target ***,a comprehensive review of nc RNAs'roles in regulating insect behaviors has yet to be ***,we present the recent progress in our understanding of how nc RNAs regulate various insect behaviors,including flight and movement,social behavior,reproduction,learning and memory,and *** refine the intricate mechanisms by which nc RNAs modulate the function of neural,motor,reproductive,and other physiological systems,as well as gene expression in insects like fruit flies,social insects,locusts,and ***,we discuss potential avenues for future studies in nc RNA-mediated insect behaviors.

关键词： ncRNAs insect behavior plasticity fine-tuning environmental adaptation

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Machine learning based models for predicting compressive strength of geopolymer concrete

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Frontiers of Structural and Civil engineering 2024年第7期18卷 1028-1049页

作者： Quang-Huy le Duy-Hung NGUYeN Thanh SANG-TO Samir KHATIR Hoang le-MINH Amir H.GANDOMI Thanh CUONG-le Center for engineering Application and technology Solutions Ho Chi Minh City Open UniversityHo Chi Minh 700000Vietnam Institute of Civil engineering Ho Chi Minh City University of TransportHo Chi Minh 700000Vietnam Faculty of engineering&Information technology University of Technology SydneyUltimoNSW 2007Australia

Recently,great attention has been paid to geopolymer concrete due to its advantageous mechanical and environmentally friendly *** effort has been made in experimental studies to advance the understanding of geopolymer concrete,in which compressive strength is one of the most important *** facilitate engineering work on the material,an efficient predicting model is *** this study,three machine learning(Ml)-based models,namely deep neural network(DNN),K-nearest neighbors(KNN),and support vector machines(SVM),are developed for forecasting the compressive strength of the geopolymer concrete.A total of 375 experimental samples are collected from the literature to build a database for the development of the predicting models.A careful procedure for data preprocessing is implemented,by which outliers are examined and removed from the database and input variables are standardized before feeding to the fitting *** standard K-fold cross-validation approach is applied for evaluating the performance of the models so that overfitting status is well managed,thus the generalizability of the models is *** effectiveness of the models is assessed via statistical metrics including root mean squared error(RMSe),mean absolute error(MAe),correlation coefficient(R),and the recently proposed performance index(PI).The basic mean square error(MSe)is used as the loss function to be minimized during the model fitting *** three Ml-based models are successfully developed for estimating the compressive strength,for which good correlations between the predicted and the true values are obtained for DNN,KNN,and *** numerical results suggest that the DNN model generally outperforms the other two models.

关键词： geopolymer concrete compressive strength prediction machine-learning based model deep neural network K-nearest neighbor support vector machines

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