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  1. Book ; Online: Optimal harvesting policy for biological resources with uncertain heterogeneity for application in fisheries management

    Yoshioka, Hidekazu

    2023  

    Abstract: Conventional harvesting problems for natural resources often assume physiological homogeneity of the body length/weight among individuals. However, such assumptions generally are not valid in real-world problems, where heterogeneity plays an essential ... ...

    Abstract Conventional harvesting problems for natural resources often assume physiological homogeneity of the body length/weight among individuals. However, such assumptions generally are not valid in real-world problems, where heterogeneity plays an essential role in the planning of biological resource harvesting. Furthermore, it is difficult to observe heterogeneity directly from the available data. This paper presents a novel optimal control framework for the cost-efficient harvesting of biological resources for application in fisheries management. The heterogeneity is incorporated into the resource dynamics, which is the population dynamics in this case, through a probability density that can be distorted from the reality. Subsequently, the distortion, which is the model uncertainty, is penalized through a divergence, leading to a non-standard dynamic differential game wherein the Hamilton-Jacobi-Bellman-Isaacs (HJBI) equation has a unique nonlinear partial differential term. Here, the existence and uniqueness results of the HJBI equation are presented along with an explicit monotone finite difference method. Finally, the proposed optimal control is applied to a harvesting problem with recreationally, economically, and ecologically important fish species using collected field data.

    Comment: Under second review in some journal
    Keywords Mathematics - Optimization and Control ; Computer Science - Computational Engineering ; Finance ; and Science
    Subject code 531
    Publishing date 2023-05-15
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Histiocytic sarcoma of the palate: a case report.

    Kurimoto, T / Goto, T / Yasuda, T / Yoshioka, H

    International journal of oral and maxillofacial surgery

    2023  Volume 52, Issue 12, Page(s) 1225–1229

    Abstract: Histiocytic sarcoma is a malignant proliferation of cells that exhibit morphological and immunophenotypic features of mature histiocytes. Owing to its rarity, its clinical features and standard treatment have not yet been established. This report ... ...

    Abstract Histiocytic sarcoma is a malignant proliferation of cells that exhibit morphological and immunophenotypic features of mature histiocytes. Owing to its rarity, its clinical features and standard treatment have not yet been established. This report describes a case of histiocytic sarcoma of the palate that developed in a 76-year-old man, the first report of an intraoral histiocytic sarcoma. An extended resection was performed; however, establishing the excision line was extremely difficult because assessing the tumour boundary on imaging was challenging and the tumour underwent dynamic gross morphological changes following biopsy. Complete resection is required to obtain a favourable prognosis for high-grade tumours with indistinct borders. In this case, an intraoperative rapid examination with frozen section analysis was performed along the planned excision line to completely resect the tumours exhibiting such behaviour. At 28 months postoperatively, the patient demonstrated no recurrence or metastasis; however, he is under careful monitoring.
    MeSH term(s) Male ; Humans ; Aged ; Histiocytic Sarcoma/diagnostic imaging ; Histiocytic Sarcoma/surgery ; Histiocytes/pathology ; Diagnostic Imaging ; Biopsy ; Palate
    Language English
    Publishing date 2023-08-27
    Publishing country Denmark
    Document type Case Reports
    ZDB-ID 353721-3
    ISSN 1399-0020 ; 0901-5027
    ISSN (online) 1399-0020
    ISSN 0901-5027
    DOI 10.1016/j.ijom.2023.08.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Two-species competing population dynamics with the population-dependent environmental capacities under random disturbance.

    Yoshioka, Hidekazu

    Theory in biosciences = Theorie in den Biowissenschaften

    2020  Volume 139, Issue 3, Page(s) 279–297

    Abstract: We propose and analyze a stochastic competing two-species population dynamics model subject to jump and continuous correlated noises. Competing benthic algae population dynamics in river environment, which is an important engineering problem, motivates ... ...

    Abstract We propose and analyze a stochastic competing two-species population dynamics model subject to jump and continuous correlated noises. Competing benthic algae population dynamics in river environment, which is an important engineering problem, motivates this new model. The model is a system of stochastic differential equations having a characteristic that the two populations are competing with each other through the environmental capacities; an increase in one population decreases the other's environmental capacity. Unique existence of the uniformly bounded strong solution is proven, and attractors of the solutions are identified depending on the parameter values. The Kolmogorov's backward equation associated with the population dynamics is formulated and its unique solvability in a Banach space with a weighted norm is discussed. A novel uncertain correlation case is also analyzed in the framework of viscosity solutions. Numerical computation results using a finite difference scheme and a Monte-Carlo method are presented to deeper analyze the model. Our analysis results can be utilized for establishment of a foundation for modeling, analysis and control of the competing population dynamics.
    MeSH term(s) Algorithms ; Animals ; Chlorophyta/physiology ; Computer Simulation ; Ecosystem ; Fisheries ; Fishes/microbiology ; Linear Models ; Models, Biological ; Models, Theoretical ; Monte Carlo Method ; Population Dynamics ; Stochastic Processes ; Viscosity
    Language English
    Publishing date 2020-08-11
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1376847-5
    ISSN 1611-7530 ; 1431-7613
    ISSN (online) 1611-7530
    ISSN 1431-7613
    DOI 10.1007/s12064-020-00321-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: NADPH oxidase-mediated sulfenylation of cysteine derivatives is key regulatory events for plant immune responses.

    Hino, Yuta / Inada, Taichi / Yoshioka, Miki / Yoshioka, Hirofumi

    Journal of experimental botany

    2024  

    Abstract: Reactive oxygen species (ROS) are rapidly generated during plant immune responses by RBOH, which is a plasma membrane-localizing NADPH oxidase. Although regulatory mechanisms of RBOH activity have been well documented, the ROS-mediated downstream ... ...

    Abstract Reactive oxygen species (ROS) are rapidly generated during plant immune responses by RBOH, which is a plasma membrane-localizing NADPH oxidase. Although regulatory mechanisms of RBOH activity have been well documented, the ROS-mediated downstream signaling is unclear. We here demonstrated that ROS sensor proteins play a central role in the ROS signaling via oxidative post-translational modification of cysteine residues, sulfenylation. To detect protein sulfenylation, we used dimedone, which specifically and irreversibly binds to sulfenylated proteins. The sulfenylated proteins were labeled by dimedone in Nicotiana benthamiana leaves, and the conjugates were detected by immunoblot analyses. In addition, a reductant dissociated H2O2-induced conjugates, suggesting that cysteine persulfide and/or polysulfides are involved in sulfenylation. These sulfenylated proteins were continuously increased during both PTI and ETI in a RBOH-dependent manner. Pharmacological inhibition of ROS sensor proteins by dimedone perturbated cell death, ROS accumulation induced by INF1 and MEK2DD, and defense against fungal pathogens. On the other hand, Rpi-blb2-mediated ETI responses were rather enhanced by dimedone. These results suggest that the sulfenylation of cysteine and its derivatives in various ROS sensor proteins are important events in downstream of RBOH-dependent ROS burst to regulate plant immune responses.
    Language English
    Publishing date 2024-04-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2976-2
    ISSN 1460-2431 ; 0022-0957
    ISSN (online) 1460-2431
    ISSN 0022-0957
    DOI 10.1093/jxb/erae111
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A simplified stochastic optimization model for logistic dynamics with control-dependent carrying capacity.

    Yoshioka, Hidekazu

    Journal of biological dynamics

    2019  Volume 13, Issue 1, Page(s) 148–176

    Abstract: A simplified stochastic control model for optimization of logistic dynamics with the control-dependent carrying capacity, which is motivated by a recent algae population management problem in the river environment, is presented. Solving the optimization ... ...

    Abstract A simplified stochastic control model for optimization of logistic dynamics with the control-dependent carrying capacity, which is motivated by a recent algae population management problem in the river environment, is presented. Solving the optimization problem reduces to finding a solution to a non-local first-order differential equation called tt-Jacobi-Bellman (HJB) equation. It is shown that the HJB equation has a unique viscosity solution and that the solution can be approximated with a finite difference scheme. Asymptotic estimates of the solution and the optimal control are derived and compared with numerical solutions. Finally, parameter dependence of the optimal control is examined numerically with implications to river environmental management.
    MeSH term(s) Conservation of Natural Resources ; Models, Biological ; Numerical Analysis, Computer-Assisted ; Population Dynamics ; Stochastic Processes
    Language English
    Publishing date 2019-02-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1751-3766
    ISSN (online) 1751-3766
    DOI 10.1080/17513758.2019.1576927
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Data-driven disease progression model of Parkinson's disease and effect of sex and genetic variants.

    Jin, Ryota / Yoshioka, Hideki / Sato, Hiromi / Hisaka, Akihiro

    CPT: pharmacometrics & systems pharmacology

    2024  Volume 13, Issue 4, Page(s) 649–659

    Abstract: As Parkinson's disease (PD) progresses, there are multiple biomarker changes, and sex and genetic variants may influence the rate of progression. Data-driven, long-term disease progression model analysis may provide precise knowledge of the relationships ...

    Abstract As Parkinson's disease (PD) progresses, there are multiple biomarker changes, and sex and genetic variants may influence the rate of progression. Data-driven, long-term disease progression model analysis may provide precise knowledge of the relationships between these risk factors and progression and would allow for the selection of appropriate diagnosis and treatment according to disease progression. To construct a long-term disease progression model of PD based on multiple biomarkers and evaluate the effects of sex and leucine-rich repeat kinase 2 (LRRK2) mutations, a technique derived from the nonlinear mixed-effects model (Statistical Restoration of Fragmented Time course [SReFT]) was applied to datasets of patients provided by the Parkinson's Progression Markers Initiative. Four biomarkers, including the Unified PD Rating Scale, were used, and a covariate analysis was performed to investigate the effects of sex and LRRK2-related mutations. A model of disease progression over ~30 years was successfully developed using patient data with a median of 6 years. Covariate analysis suggested that female sex and LRRK2 G2019S mutations were associated with 21.6% and 25.4% significantly slower progression, respectively. LRRK2 rs76904798 mutation also tended to delay disease progression by 10.4% but the difference was not significant. In conclusion, a long-term PD progression model was successfully constructed using SReFT from relatively short-term individual patient observations and depicted nonlinear changes in relevant biomarkers and their covariates, including sex and genetic variants.
    MeSH term(s) Humans ; Female ; Parkinson Disease/genetics ; Leucine-Rich Repeat Serine-Threonine Protein Kinase-2/genetics ; Mutation ; Biomarkers ; Disease Progression
    Chemical Substances Leucine-Rich Repeat Serine-Threonine Protein Kinase-2 (EC 2.7.11.1) ; Biomarkers
    Language English
    Publishing date 2024-02-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2697010-7
    ISSN 2163-8306 ; 2163-8306
    ISSN (online) 2163-8306
    ISSN 2163-8306
    DOI 10.1002/psp4.13112
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: A stochastic differential game approach toward animal migration.

    Yoshioka, Hidekazu

    Theory in biosciences = Theorie in den Biowissenschaften

    2019  Volume 138, Issue 2, Page(s) 277–303

    Abstract: A stochastic differential game model for animal migration between two habitats under uncertain environment, a new population dynamics model, is formulated. Its novelty is the use of an impulse control formalism to naturally describe migrations with ... ...

    Abstract A stochastic differential game model for animal migration between two habitats under uncertain environment, a new population dynamics model, is formulated. Its novelty is the use of an impulse control formalism to naturally describe migrations with different timings and magnitudes that the conventional models could not handle. Uncertainty of the environment that the population faces with is formulated in the context of the multiplier robust control. The optimal migration strategy to give the maximized minimal profit is found through a Hamilton-Jacobi-Bellman quasi-variational inequality (HJBQVI). A key message from HJBQVI is that its free boundary determines the optimal migration strategy. Solving the HJBQVI is carried out with a specialized stable and convergent finite difference scheme. This paper theoretically suggests that the sub-additivity of the performance index, the index to be optimized through the migration, critically affects the resulting strategy. The computational results with the established scheme are consistent with the theoretical predictions and support importance of the sub-additivity property. Social interaction to reduce the net mortality rate is also quantified, suggesting a linkage between the present and existing population dynamics models.
    MeSH term(s) Algorithms ; Animal Migration ; Animals ; Computer Simulation ; Ecosystem ; Game Theory ; Interpersonal Relations ; Models, Theoretical ; Population Dynamics ; Stochastic Processes ; Time Factors
    Language English
    Publishing date 2019-04-11
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1376847-5
    ISSN 1611-7530 ; 1431-7613
    ISSN (online) 1611-7530
    ISSN 1431-7613
    DOI 10.1007/s12064-019-00292-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Disease progression modeling with temporal realignment: An emerging approach to deepen knowledge on chronic diseases.

    Yoshioka, Hideki / Jin, Ryota / Hisaka, Akihiro / Suzuki, Hiroshi

    Pharmacology & therapeutics

    2024  Volume 259, Page(s) 108655

    Abstract: The recent development of the first disease-modifying drug for Alzheimer's disease represents a major advancement in dementia treatment. Behind this breakthrough is a quarter century of research efforts to understand the disease not by a particular ... ...

    Abstract The recent development of the first disease-modifying drug for Alzheimer's disease represents a major advancement in dementia treatment. Behind this breakthrough is a quarter century of research efforts to understand the disease not by a particular symptom at a given moment, but by long-term sequential changes in multiple biomarkers. Disease progression modeling with temporal realignment (DPM-TR) is an emerging computational approach proposed with this biomarker-based disease concept. By integrating short-term clinical observations of multiple disease biomarkers in a data-driven manner, DPM-TR provides a way to understand the progression of chronic diseases over decades and predict individual disease stages more accurately. DPM-TR has been developed primarily in the area of neurodegenerative diseases but has recently been extended to non-neurodegenerative diseases, including chronic obstructive pulmonary, autoimmune, and ophthalmologic diseases. This review focuses on opportunities for DPM-TR in clinical practice and drug development and discusses its current status and challenges.
    Language English
    Publishing date 2024-05-04
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 194735-7
    ISSN 1879-016X ; 0163-7258
    ISSN (online) 1879-016X
    ISSN 0163-7258
    DOI 10.1016/j.pharmthera.2024.108655
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Book ; Online: River environmental restoration based on random observations of a non-smooth stochastic dynamical system

    Yoshioka, Hidekazu

    2020  

    Abstract: Earth and soils are indispensable elements of river environment. Dam-downstream environment and ecosystems have been severely affected by reduced or even stopped sediment supply from the upstream. Replenishing earth and soils from outside the river has ... ...

    Abstract Earth and soils are indispensable elements of river environment. Dam-downstream environment and ecosystems have been severely affected by reduced or even stopped sediment supply from the upstream. Replenishing earth and soils from outside the river has been considered as an effective way to mitigate this issue. However, its cost-effective implementation has not been considered from a theoretical side. This paper presents a tractable new stochastic control model to deal with this issue. The sediment dynamics in the river environment follow non-smooth and continuous-time piecewise deterministic dynamics. The model assumes that the observation of the sediment dynamics is carried out only randomly and discretely, and that the sediment can be replenished at each observation time with cost. This partial observation assumption is consistent with the fact that continuously obtaining the environmental information is difficult in applications. The performance index to penalize the sediment depletion has a non-smooth term as well. We demonstrate that these non-smoothness factors harmonize with a dynamic programming principle, and derive the optimality equation in a degenerate elliptic form governing the most cost-efficient sediment replenishment policy. We analytically derive and verify an exact solution under a simplified condition for a discounted case, an Ergodic case, and a complete information case. A more realistic case is handled using a high-resolution finite difference scheme. We then provide the optimal sediment replenishment policy numerically.
    Keywords Electrical Engineering and Systems Science - Systems and Control ; Mathematics - Optimization and Control
    Subject code 333
    Publishing date 2020-05-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Book ; Online: Mathematical and computational approaches for stochastic control of river environment and ecology

    Yoshioka, Hidekazu

    from fisheries viewpoint

    2020  

    Abstract: We present a modern stochastic control framework for dynamic optimization of river environment and ecology. We focus on a fisheries problem in Japan, and show several examples of simplified optimal control problems of stochastic differential equations ... ...

    Abstract We present a modern stochastic control framework for dynamic optimization of river environment and ecology. We focus on a fisheries problem in Japan, and show several examples of simplified optimal control problems of stochastic differential equations modeling fishery resource dynamics, reservoir water balance dynamics, benthic algae dynamics, and sediment storage dynamics. These problems concern different phenomena with each other, but they all reduce to solving degenerate parabolic or elliptic equations. Optimal controls and value functions of these problems are computed using finite difference schemes. Finally, we present a higher-dimensional problem of controlling a dam-reservoir system using a semi-Lagrangian discretization on sparse grids. Our contribution shows the state-of-art of modeling, analysis, and computation of stochastic control in environmental engineering and science, and related research areas.

    Comment: Accepted as a chapter to a book series
    Keywords Mathematics - Optimization and Control ; Electrical Engineering and Systems Science - Systems and Control ; Mathematics - Numerical Analysis
    Subject code 510
    Publishing date 2020-07-20
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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