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Unveiling the brain’s symphony:exploring the necessity and sufficiency of neural networks in behavior control

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Neural Regeneration Research 2025年第1期20卷 186-187页

作者： Fernando jose Bustos Instituto de Ciencias Biomedicas Facultad de Medicina y Facultad de Ciencias de la VidaUniversidad Andres BelloSantiagoChile Millennium Nucleus of Neuroepigenetics and Plasticity(EpiNeuro) SantiagoChile

Since the pioneering work by Broca and Wernicke in the 19th century,who examined individuals with brain lesions to associate them with specific behaviors,it was evident that behaviors are complex and cannot be fully attributable to specific brain areas ***,they involve connectivity among brain areas,whether close or *** that time,this approach was considered the optimal way to dissect brain circuitry and *** pioneering efforts opened the field to explore the necessity or sufficiency of brain areas in controlling behavior and hence dissecting brain ***,the connectivity of the brain and the mechanisms through which various brain regions regulate specific behaviors,either individually or collaboratively,remain largely *** animal models,researchers have endeavored to unravel the necessity or sufficiency of specific brain areas in influencing behavior;however,no clear associations have been firmly established.

关键词： behavior connectivity neural

A Sufficient Degree Condition for a Graph to Contain All Trees of Size k

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Acta Mathematica Sinica,English Series 2011年第1期27卷 135-140页

作者： Camino BALBUENA Alberto MARQUEZ jose ramon PORTILLO Departament de Matemhtica Aplicada III Universitat Politecnica de Catalunya C/ Jordi Girona 1-3 (Edifici C2 Despatx 302) 08034 Barcelona Spain Departamento de Matemdtica Aplicada I Universidad de SeviUaE.T.S. de Informdtica Avda. Reina Mercedes s//n 41012 SeviUa Spain

The Erdos-Sos conjecture says that a graph G on n vertices and number of edges e（G）〉 n（k - 1）/2 contains all trees of size k. In this paper we prove a sufficient condition for a graph to contain every tree of size k formulated in terms of the minimum edge degree ξ（G） of a graph G defined as {（G） = min{d（u）＋ d（v） - 2 ： uv ∈ E（G）}. More precisely, we show that a connected graph G with maximum degree △（G） ≥ k and minimum edge degree {（G）〉 2k - 4 contains every tree of k edges if dG（x）＋ dG（y） ≥ 2k - 4 for all pairs x, y of nonadjacent neighbors of a vertex u of dG（u） ≥ k.

关键词： Erdos-Sos conjecture

Structural performance assessment of GFRP elastic gridshells by machine learning interpretability methods

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Frontiers of Structural and Civil Engineering 2022年第10期16卷 1249-1266页

作者： Soheila KOOKALANI Bin CHENG jose Luis Chavez torres Department of Civil Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Civil Engineering Technical University of LojaLoja 110102Ecuador

The prediction of structural performance plays a significant role in damage assessment of glass fiber reinforcement polymer(GFRP)elastic gridshell *** learning(ML)approaches are implemented in this study,to predict maximum stress and displacement of GFRP elastic gridshell *** ML algorithms,including linear regression(LR),ridge regression(RR),support vector regression(SVR),K-nearest neighbors(KNN),decision tree(DT),random forest(RF),adaptive boosting(AdaBoost),extreme gradient boosting(XGBoost),category boosting(CatBoost),and light gradient boosting machine(LightGBM),are implemented in this *** features of structural performance considered in this study are the maximum stress as f1(x)and the maximum displacement to self-weight ratio as f2(x).A comparative study is conducted and the Catboost model presents the highest prediction ***,interpretable ML approaches,including shapely additive explanations(SHAP),partial dependence plot(PDP),and accumulated local effects(ALE),are applied to explain the *** is employed to describe the importance of each variable to structural performance both locally and *** results of sensitivity analysis(SA),feature importance of the CatBoost model and SHAP approach indicate the same parameters as the most significant variables for f1(x)and f2(x).

关键词： machine learning gridshell structure regression sensitivity analysis interpretability methods

Some Comments on Zonal Polynomials and Their Expected Values with respect to ***

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Acta Mathematicae Applicatae Sinica 2017年第3期33卷 567-574页

作者： jose A.Diaz-Garcia ramon Gutierrez-Jaimez Department of Statistics and Computation Universidad Autonoma Agraria Antonio Narro25350 BuenavistaSaltilloCoahuilaMexico Department of Statistics and O.R University of GranadaGranada 18071Spain

In this paper, we give alternative proofs of some results in [15] （Li R.,1997） about the expected value of zonal polynomials.

关键词： elliptical matrix distributions random matrices zonal polynomials generalised Wishart distribution

Machine Learning-Based Radio Access Technology Selection in the Internet of Moving Things

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China Communications 2021年第7期18卷 13-24页

作者： ramon Sanchez-Iborra Luis Bernal-Escobedo jose Santa Dept.Engineering and Applied Techniques University Centre of Defence at the Spanish Air Force Academy30729 San JavierSpain Dept.Information and Communication Engineering University of Murcia30100 MurciaSpain Dept.of Electronics Computing Technology and ProjectsTechnical University of Cartagena30202 CartagenaSpain

The Internet of Moving Things(IoMT)takes a step further with respect to traditional static IoT *** this line,the integration of new eco-friendly mobility devices such as scooters or bicycles within the Cooperative-Intelligent Transportation Systems(C-ITS)and smart city ecosystems is crucial to provide novel *** this end,a range of communication technologies is available,such as cellular,vehicular WiFi or Low-Power Wide-Area Network(LPWAN);however,none of them can fully cover energy consumption and Quality of Service(QoS)***,we propose a Decision Support System(DSS),based on supervised Machine Learning(ML)classification,for selecting the most adequate transmission interface to send a certain message in a multi-Radio Access Technology(RAT)set *** ML algorithms have been explored taking into account computing and energy constraints of IoMT enddevices and traffic ***,a real implementation of a decision tree-based DSS for micro-controller units is presented and *** attained results demonstrate the validity of the proposal,saving energy in communication tasks as well as satisfying QoS requirements of certain urgent *** footprint of the real implementation on an Arduino Uno is 444 bytes and it can be executed in around 50µs.

关键词： internet of moving things multi-RAT CITS classification personal mobility

Gene editing in plants:progress and challenges

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National Science Review 2019年第3期6卷 421-437页

作者： Yanfei Mao jose ramon Botella Yaoguang Liu Jian-Kang Zhu Shanghai Center for Plant Stress Biology CAS Center of Excellence in Molecular Plant Sciences Chinese Academy of Sciences School of Agriculture and Food Sciences University of Queensland State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources College of Life Sciences South China Agricultural University Department of Horticulture and Landscape Architecture Purdue University

The clustered regularly interspaced short palindromic repeat(CRISPR)-associated protein 9(Cas9)genome editing system is a powerful tool for targeted gene modifications in a wide range of species,including plants. Over the last few years, this system has revolutionized the way scientists perform genetic studies and crop breeding, due to its simplicity, flexibility, consistency and high efficiency. Considerable progress has been made in optimizing CRISPR/Cas9 systems in plants, particularly for targeted gene mutagenesis. However, there are still a number of important challenges ahead, including methods for the efficient delivery of CRISPR and other editing tools to most plants, and more effective strategies for sequence knock-ins and replacements. We provide our viewpoint on the goals, potential concerns and future challenges for the development and application of plant genome editing tools.

关键词： CRISPR Cas9 genome editing base editing gene targeting crop breeding

Genome editing for plant research and crop improvement

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Journal of Integrative Plant Biology 2021年第1期63卷 3-33页

作者： Xiangqiang Zhan Yuming Lu Jian-Kang Zhu jose ramon Botella State Key Laboratory of Crop Stress Biology for Arid Areas and College of Horticuture Northwest A&F UniversityXianyang 712100 Shanghai Center for Plant Stress Biology CAS Center of Excellence in Molecular Plant SciencesChinese Academy of SciencesShanghai 200032China Department of Horticulture and Landscape Architecture Purdue UniversityWest LafayetteIndiana 47907USA School of Agriculture and Food Sciences University of QueenslandBrisbaneQueensland 4072Australia

The advent of clustered regularly interspaced short palindromic repeat(CRISPR) has had a profound impact on plant biology, and crop improvement. In this review, we summarize the state-of-the-art development of CRISPR technologies and their applications in plants, from the initial introduction of random small indel(insertion or deletion) mutations at target genomic loci to precision editing such as base editing, prime editing and gene targeting. We describe advances in the use of class 2, types II, V, and VI systems for gene disruption as well as for precise sequence alterations, gene transcription, and epigenome control.

关键词： CRISPR/Cas crop improvement genome editing plant research

TinyML-Based Fall Detection for Connected Personal Mobility Vehicles

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Computers, Materials & Continua 2022年第5期71卷 3869-3885页

作者： ramon Sanchez-Iborra Luis Bernal-Escobedo jose Santa Antonio Skarmeta University Center of Defense General Air Force AcademySan Javier30720Spain University of Murcia Murcia30100Spain Technical University of Cartagena Cartagena30202Spain

A new wave of electric vehicles for personal mobility is currently crowding public *** offer a sustainable and efficient way of getting around in urban environments,however,these devices bring additional safety issues,including serious accidents for ***,taking advantage of a connected personal mobility vehicle,we present a novel on-device Machine Learning(ML)-based fall detection system that analyzes data captured from a range of sensors integrated on an on-board unit(OBU)*** the typical processing limitations of these elements,we exploit the potential of the TinyML paradigm,which enables embedding powerful ML algorithms in constrained *** have generated and publicly released a large dataset,including real riding measurements and realistically simulated falling events,which has been employed to produce different TinyML *** attained results show the good operation of the system to detect falls efficiently using embedded *** considered algorithms have been successfully tested on mass-market low-power units,implying reduced energy consumption,flash footprints and running times,enabling new possibilities for this kind of vehicles.

关键词： Personal mobility machine learning on-board unit C-ITS IoT

OsDMI3,a Ca^(2+)/calmodulin kinase,integrates and amplifies H_(2)O_(2) and Ca^(2+) signaling in ABA-mediated responses

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Molecular Plant 2023年第6期16卷 968-970页

作者： Miguel-Angel torres Diego jose Berlanga Centro de Biotecnologia y Genomica de Plantas Universidad Politecnica de Madrid(UPM)-Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria(INIA/CSIC)Campus de Montegancedo UPM28223 Pozuelo de AlarconMadridSpain Departamento de Biotecnologia-Biologia Vegetal Escuela Técnica Superior de Ingenieria AgronomicaAlimentaria y de BiosistemasUPM28040 MadridSpain

Abscisic acid(ABA)is an important hormone that regulates both plant development and stress responses(Chen et al.,2020).In the absence of ABA,group A PROTEIN PHOSPHATASE 2Cs(PP2Cs)interact with and inhibit SUCROSE-NON-FERMENTING 1-RELATED KINASES 2(SnRK2s).When ABA is present,ABA receptor PYRABACTIN RESISTANCE 1 and PYRABACTIN RESISTANCE 1-LIKE PROTEINS bind to and inhibit PP2Cs,allowing phosphorylation and activation of SnRK2s that,in turn,phosphorylate downstream targets,such as transcription factors,ion channels,and transporters(Figure 1).

关键词： SnRK2 Figure