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A NOVEL STOCHASTIC HEPATITIS B VIRUS EPIDEMIC MODEL WITH SECOND-ORDER MULTIPLICATIVE α-STABLE NOISE AND REAL DATA

Acta Mathematica Scientia 2024年第2期44卷 752-788页

作者： Anwarud DIN Yassine SABBAR 吴鹏 Department of Mathematics Sun Yat-Sen UniversityGuangzhou510275China mais Laboratory MAMCS GroupFST ErrachidiaMoulay Ismail University of MeknesP.O.Box 509Errachidia52000Morocco School of Science Hangzhou Dianzi UniversityHangzhou310018China School of Data Sciences Zhejiang University of Finance and EconomicsHangzhou310018China

This work presents an advanced and detailed analysis of the mechanisms of hepatitis B virus(HBV)propagation in an environment characterized by variability and stochas-ticity.Based on some biological features of the virus and the assumptions,the corresponding deterministic model is formulated,which takes into consideration the effect of vaccination.This deterministic model is extended to a stochastic framework by considering a new form of disturbance which makes it possible to simulate strong and significant fluctuations.The long-term behaviors of the virus are predicted by using stochastic differential equations with second-order multiplicative α-stable jumps.By developing the assumptions and employing the novel theoretical tools,the threshold parameter responsible for ergodicity(persistence)and extinction is provided.The theoretical results of the current study are validated by numerical simulations and parameters estimation is also performed.Moreover,we obtain the following new interesting findings:(a)in each class,the average time depends on the value ofα;(b)the second-order noise has an inverse effect on the spread of the virus;(c)the shapes of population densities at stationary level quickly changes at certain values of α.The last three conclusions can provide a solid research base for further investigation in the field of biological and ecological modeling.

关键词： HBV model nonlinear perturbation probabilistic bifurcation long-run forecast numerical simulation

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Emotion-Aware Music Driven Movie Montage

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Journal of Computer Science & Technology 2023年第3期38卷 540-553页

作者：刘伍琴林敏轩黄海斌马重阳宋玉董未名徐常胜 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 101408China The State Key Laboratory of Multimodal Artificial Intelligence System(mais) Institute of AutomationChinese Academy of SciencesBeijing 100190China Kuaishou Technology Beijing 100085China School of Mechanical Engineering University of Science and Technology BeijingBeijing 100083China

In this paper, we present Emotion-Aware Music Driven Movie Montage, a novel paradigm for the challenging task of generating movie montages. Specifically, given a movie and a piece of music as the guidance, our method aims to generate a montage out of the movie that is emotionally consistent with the music. Unlike previous work such as video summarization, this task requires not only video content understanding, but also emotion analysis of both the input movie and music. To this end, we propose a two-stage framework, including a learning-based module for the prediction of emotion similarity and an optimization-based module for the selection and composition of candidate movie shots. The core of our method is to align and estimate emotional similarity between music clips and movie shots in a multi-modal latent space via contrastive learning. Subsequently, the montage generation is modeled as a joint optimization of emotion similarity and additional constraints such as scene-level story completeness and shot-level rhythm synchronization. We conduct both qualitative and quantitative evaluations to demonstrate that our method can generate emotionally consistent montages and outperforms alternative baselines.

关键词： movie montage emotion analysis audio-visual modality contrastive learning

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BARN:Behavior-Aware Relation Network for multi-label behavior detection in socially housed macaques

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Zoological Research 2023年第6期44卷 1026-1038页

作者： Sen Yang Zhi-Yuan Chen Ke-Wei Liang Cai-Jie Qin Yang Yang Wen-Xuan Fan Chen-Lu Jie Xi-Bo Ma College of Medicine and Biological Information Engineering Northeastern UniversityShenyangLiaoning 110169China mais State Key Laboratory of Multimodal Artificial Intelligence SystemsInstitute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing100049China School of Automation Harbin University of Science and TechnologyHarbinHeilongjiang 150080China

Quantification of behaviors in macaques provides crucial support for various scientific disciplines,including pharmacology,neuroscience,and ethology.Despite recent advancements in the analysis of macaque behavior,research on multi-label behavior detection in socially housed macaques,including consideration of interactions among them,remains scarce.Given the lack of relevant approaches and datasets,we developed the Behavior-Aware Relation Network(BARN)for multi-label behavior detection of socially housed macaques.Our approach models the relationship of behavioral similarity between macaques,guided by a behavior-aware module and novel behavior classifier,which is suitable for multi-label classification.We also constructed a behavior dataset of rhesus macaques using ordinary RGB cameras mounted outside their cages.The dataset included 65?913 labels for19 behaviors and 60?367 proposals,including identities and locations of the macaques.Experimental results showed that BARN significantly improved the baseline SlowFast network and outperformed existing relation networks.In conclusion,we successfully achieved multilabel behavior detection of socially housed macaques with both economic efficiency and high accuracy.

关键词： Macaque behavior Drug safety assessment Multi-label behavior detection Behavioral similarity Relation network

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Impacts of COVID-19 on children and adolescents:A systematic review analyzing its psychiatric effects

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World Journal of Psychiatry 2022年第11期12卷 1313-1322页

作者： Italo Wanderson de Moura Gabriel Danielly Gonçalves Sombra Lima Jeully Pereira Pires Nélio Barreto Vieira Aloisio Antonio Gomes de Matos Brasil Yara Talita Gomes Pereira Erika Galvao de Oliveira HildsonLeandro de Menezes Nadia Nara Rolim Lima Alberto Olavo Advíncula Reis Ruan Neto Pereira Alves Uanderson Pereira da Silva Jucier Gonçalves Junior Modesto Leite Rolim-Neto School of Medicine Faculty of Medicine of Juazeiro do Norte-FMJ/IDOMEDJuazeiro do Norte 63040-360CearaBrazil School of Medicine Federal University of CaririBarbalha 63048-080CearaBrazil mais Médicos Program Federal Government of Brazil-Ministry of HealthIguatu 63048-080CearaBrazil Julio Alves de Lira Hospital and Maternity Hospital HALHMBelo Jardim 55157-290PernambucoBrazil Nursing Department Doctor Leão Sampaio University Center-UNILEAOJuazeiro do Norte 63.041-140CearaBrazil Julio Alves de Lira Hospital and Maternity Hospital JALHMBelo Jardim 55157-290PernambucoBrazil Graduate Program(Post-Doctoral)in Neuro-Psychiatry UFPERecife 50670-901PernambucoBrazil Postgraduate Program(Master’s and Doctorate)in Public Health University of São Paulo-USPSão Paulo 01246-904São PauloBrazil School of Education USPSão Paulo 05508-040São PauloBrazil Internal Medicine-Division of Rheumathology at Hospital das Clínicas São Paulo UniversitySão Paulo 01246-903São PauloBrazil

OBJECTIVE To summarize the most relevant data from a systematic review on the impact of COVID-19 on children and adolescents,particularly analyzing its psychiatric effects.METHODS This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses(PRISMA)guidelines and included experimental studies(randomized-individually or pooled-and non-randomized controlled trials),observational studies with a group for internal comparison(cohort studies-prospective and retrospective-and case-control)and qualitative studies in the period from 2021 to 2022.RESULTS The search identified 325 articles;we removed 125 duplicates.We selected 200 manuscripts,chosen by title and selected abstracts.We excluded 50 records after screening titles and abstracts,as they did not meet the inclusion criteria.We retrieved 150 records selected for a full reading.We excluded 90 text articles and we selected 25 records for the(n)final.Limitations:Due to the short period of data collection,from 2021 to 2022,there is a possibility of lack of relevant studies related to the mental health care of children and adolescents.In addition,there is the possibility of publication bias,such as only significant findings being published.CONCLUSION The impact of COVID-19 on the mental health of children and adolescents is of great concern to child and youth psychiatry.Situations such as fear,anxiety,panic,depression,sleep and appetite disorders,as well as impairment in social interactions caused by psychic stress,are punctual markers of pain and psychic suffering,which have increasing impacts on the mental health panorama of children and adolescents globally,particularly in vulnerable and socially at-risk populations.

关键词： Child psychiatry Adolescent psychiatry Mental health COVID-19 Kids Teens

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Simulation of Growth and Leaf Area Index of Quality Protein Maize Varieties in the Southwestern Savannah Region of the DR-Congo

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American Journal of Plant Sciences 2019年第6期10卷 976-986页

作者： Jean Pierre Kabongo Tshiabukole Roger Kizungu Vumilia Gertrude Pongi Khonde Jean Claude Lukombo Lukeba Amand Mbuya Kankolongo Antoine Mumba Djamba Kabwe K. C. Nkongolo Programme National mais INERA Mvuazi RD-Congo Université Pédagogique Nationale Kinshasa RD-Congo Direction Scientifique Biométrie et Expérimentation INERA DG & Université de Kinshasa Kinshasa RD-Congo Département des Sciences Biologiques Université Laurentienne Sudbury Canada

Logistic and exponential approaches have been used to simulate plant growth and leaf area index (LAI) in different growing conditions. The objective of the present study was to develop and evaluate an approach to simulate maize LAI that expresses key physiological and phonological processes using a minimum entry requirement for Quality Protein maize (QPM) varieties grown in the southwestern region of the DR-Congo. Data for the development and testing of the model were collected manually in experimental plots using a non-destructive method. Simulation results revealed measurable variations between crop seasons (long season A and short season B) and between the two varieties (Mudishi-1 and Mudishi-3) for height, number of visible leaves, and LAI. For both seasons, Mudishi-3, a short stature variety was associated with expected stable yield based on simulation data. In general, the model simulated reliably all the parameters including the LAI. The LAI value for mudishi-1 was higher than that of Mudishi-3. There were significant differences among the model parameters (K, Ti, a, b, Tf) and between the two varieties. In all crop conditions studied and for the two varieties, the senescence rate (a) was higher, while the growth rate (b) was lower compared to the estimates based on the STICS model.

关键词： Modeling Simulation Climate Change Leaf Area Index Quality Protein Maize INERA RD-Congo

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