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  1. Article: [Points of View among Patients and Peer Supporters for"High Cost Medical Care"].

    Hanai, Miki

    Gan to kagaku ryoho. Cancer & chemotherapy

    2018  Volume 45, Issue 5, Page(s) 789–792

    Language Japanese
    Publishing date 2018-07-20
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 604842-0
    ISSN 0385-0684
    ISSN 0385-0684
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: BOTAN: BOnd TArgeting Network for prediction of slow glassy dynamics by machine learning relative motion.

    Shiba, Hayato / Hanai, Masatoshi / Suzumura, Toyotaro / Shimokawabe, Takashi

    The Journal of chemical physics

    2023  Volume 158, Issue 8, Page(s) 84503

    Abstract: Recent developments in machine learning have enabled accurate predictions of the dynamics of slow structural relaxation in glass-forming systems. However, existing machine learning models for these tasks are mostly designed such that they learn a single ... ...

    Abstract Recent developments in machine learning have enabled accurate predictions of the dynamics of slow structural relaxation in glass-forming systems. However, existing machine learning models for these tasks are mostly designed such that they learn a single dynamic quantity and relate it to the structural features of glassy liquids. In this study, we propose a graph neural network model, "BOnd TArgeting Network," that learns relative motion between neighboring pairs of particles, in addition to the self-motion of particles. By relating the structural features to these two different dynamical variables, the model autonomously acquires the ability to discern how the self motion of particles undergoing slow relaxation is affected by different dynamical processes, strain fluctuations and particle rearrangements, and thus can predict with high precision how slow structural relaxation develops in space and time.
    Language English
    Publishing date 2023-03-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3113-6
    ISSN 1089-7690 ; 0021-9606
    ISSN (online) 1089-7690
    ISSN 0021-9606
    DOI 10.1063/5.0129791
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Predicting precursors of slow glassy dynamics with high precision by machine learning relative motion

    Shiba, Hayato / Hanai, Masatoshi / Suzumura, Toyotaro / Shimokawabe, Takashi

    2022  

    Abstract: The recent developments of machine learning have enabled accurate predictions of heterogeneous dynamics of glassy dynamics. However, existing machine-learning models are designed so that they learn a single dynamic quantity and relate it to the ... ...

    Abstract The recent developments of machine learning have enabled accurate predictions of heterogeneous dynamics of glassy dynamics. However, existing machine-learning models are designed so that they learn a single dynamic quantity and relate it to the structural features of glassy liquids. In this Letter, we propose a new graph neural network model which learns relative motion between neighboring pairs of particles, in addition to self motion of particles. By relating the structural features to these two different dynamical variables, the model autonomously acquires the ability to discern how two different types of dynamic processes, strain fluctuations and particle rearrangements, affect the self motion of particles undergoing fast beta relaxation. Our model affords a methodology to treat these two at the same time and realizes highly precise predictions of rearranging hotspots in glassy systems.

    Comment: 6 pages, 3 figures (+ SM 7 pages, 7 figures); extensive revisions, mainly on the interpretation of the results
    Keywords Condensed Matter - Disordered Systems and Neural Networks ; Condensed Matter - Soft Condensed Matter ; Condensed Matter - Statistical Mechanics
    Subject code 612
    Publishing date 2022-06-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: Performance Evaluation of Dynamic Scaling on MPI

    Hanai, Masatoshi / Theodoropoulos, Georgios

    2019  

    Abstract: Dynamic scaling aims to elastically change the number of processes during runtime to tune the performance of the distributed applications. This report briefly presents a performance evaluation of MPI process provisioning / de-provisioning for dynamic ... ...

    Abstract Dynamic scaling aims to elastically change the number of processes during runtime to tune the performance of the distributed applications. This report briefly presents a performance evaluation of MPI process provisioning / de-provisioning for dynamic scaling by using 16 to 128 cores. Our dynamic scaling implementation allows the new MPI processes from new hosts to communicate with the original ones immediately. Moreover, it forbids the removing MPI processes to communicate with others as well as gets the information whether the host node can be terminated or not. Such a simple feature is not supported as a single-line API in MPI-2 such as MPI_Comm_spawn(). We provide our implementation as a simple library to extend a non-dynamic-scalable MPI program into a dynamic-scalable one by adding only several lines of codes.

    Comment: Code is in https://github.com/masatoshihanai/MPIDynamicScaling
    Keywords Computer Science - Distributed ; Parallel ; and Cluster Computing
    Subject code 005
    Publishing date 2019-12-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Management of acute pulmonary embolism after acute aortic dissection surgery.

    Nakamura, Ken / Orii, Kouan / Hanai, Makoto / Abe, Takayuki / Haida, Hirofumi

    Journal of cardiology cases

    2020  Volume 22, Issue 4, Page(s) 195–197

    Abstract: Acute aortic dissection (AAD) continues to be associated with high mortality and morbidity. Pulmonary embolism is also a life-threatening disease. The treatment of these life-threatening diseases remains controversial in case complications arise. ... ...

    Abstract Acute aortic dissection (AAD) continues to be associated with high mortality and morbidity. Pulmonary embolism is also a life-threatening disease. The treatment of these life-threatening diseases remains controversial in case complications arise. Thrombolytic therapy and intensive treatment would be needed to manage these fatal diseases. A 49-year-old man with progressive back pain was admitted to our hospital. Computed tomography (CT) scan revealed type A AAD. Emergency operation for hemiarch replacement was performed. Two weeks postoperatively, the patient's oxygenation worsened and his d-dimer levels elevated. CT scan revealed a massive thrombus in the bilateral pulmonary arteries. Intensive anticoagulation therapy was started immediately. On postoperative day 27, the patient was weaned from mechanical ventilation, but the false lumen with thrombus was recanalized again. The patient was discharged on postoperative day 75 without resulting in major complications for aortic dissection. The diagnosis of pulmonary embolism concomitant with AAD is difficult. The treatment of pulmonary embolism after AAD is controversial. Our strategy seems to be suitable for acute pulmonary embolism that occurs during the treatment of AAD. ˂
    Language English
    Publishing date 2020-08-03
    Publishing country Japan
    Document type Journal Article
    ISSN 1878-5409
    ISSN (online) 1878-5409
    DOI 10.1016/j.jccase.2020.06.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Comparison of the Effects of Dietary Protein on Sexual Organ Development of Male Mice and Rats Kept under Constant Darkness

    Hanai, M. / Esashi, T.

    Journal of nutritional science and vitaminology

    2013  Volume 59, Issue 6, Page(s) 552–559

    Language English
    Document type Article
    ZDB-ID 191366-9
    ISSN 0301-4800
    Database Current Contents Nutrition, Environment, Agriculture

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  7. Article ; Online: Effect of Dietary Protein Levels on Protein Nutritional Status in Growing Female Rats Kept under Constant Darkness.

    Hanai, Miho / Yoshikuni, Miko / Hikita, Haruna

    Journal of nutritional science and vitaminology

    2017  Volume 63, Issue 6, Page(s) 372–378

    Abstract: The purpose of this study was to clarify the effects of dietary protein levels on protein nutritional status in rats kept under constant darkness. Thirty-six 4-wk-old female rats (F344 strain) were divided into six groups. Each group was given a diet ... ...

    Abstract The purpose of this study was to clarify the effects of dietary protein levels on protein nutritional status in rats kept under constant darkness. Thirty-six 4-wk-old female rats (F344 strain) were divided into six groups. Each group was given a diet with one of three different protein levels and kept under normal light and dark cycles (7:00-19:00 light period/19:00-7:00 dark period, N group) or under constant darkness (D group) for 4 wk. The protein levels of the diets were 10%, 20%, and 30% casein. The six groups are referred to as the N10%, N20%, N30%, D10%, D20%, and D30% groups. Body weight gain was low in the D groups, and that in the D30% group was much lower than that in the N30% group. The D30% group retained less nitrogen than the N30% group. As for the amount of urinary nitrogen excreted every 4 h, the values for the D-groups were higher than those for the N-groups in the 11:00-15:00 periods, and that for the D30% group was higher than that for the N30% group in the 15:00-19:00 periods, which means that protein catabolism was higher in the D30% group. It was shown that when rats kept under constant darkness were fed a high-protein diet for 4 wk, their nitrogen retention decreased and their protein nutritional state dropped.
    MeSH term(s) Animals ; Caseins/administration & dosage ; Circadian Rhythm/physiology ; Darkness ; Dietary Proteins/administration & dosage ; Eating ; Female ; Kidney/anatomy & histology ; Liver/anatomy & histology ; Nitrogen/metabolism ; Nitrogen/urine ; Nutritional Status/drug effects ; Nutritional Status/physiology ; Organ Size/drug effects ; Rats ; Rats, Inbred F344 ; Spleen/anatomy & histology ; Weight Gain/drug effects ; Weight Gain/physiology
    Chemical Substances Caseins ; Dietary Proteins ; Nitrogen (N762921K75)
    Language English
    Publishing date 2017
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 191366-9
    ISSN 1881-7742 ; 0301-4800
    ISSN (online) 1881-7742
    ISSN 0301-4800
    DOI 10.3177/jnsv.63.372
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Dietary Cystine Ameliorates Defects in Spermatogenesis via Testosterone Production Induced by Protein Deficiency and Darkness in Rats.

    Obata, Fumiko / Yu, Guannan / Ohta, Haruka / Susuki, Naoto / Shimazaki, Mariko / Nishimura, Saori / Hanai, Miho

    Journal of nutritional science and vitaminology

    2020  Volume 66, Issue 1, Page(s) 86–90

    Abstract: Nutrition and light-dark cycle influence rat testicular development. With 9% casein diet (low protein diet) under normal 12 h-12 h lighting cycles (9P), juvenile rat testes undergo normal growth. On the other hand, a low protein diet with constant ... ...

    Abstract Nutrition and light-dark cycle influence rat testicular development. With 9% casein diet (low protein diet) under normal 12 h-12 h lighting cycles (9P), juvenile rat testes undergo normal growth. On the other hand, a low protein diet with constant darkness (D9P) results in a growth arrest of rat testes. Supplementation of cystine to the low protein diet under constant darkness (D9PC) had a tendency to increase testes weight, suggesting an improvement in growth suppression. Whether the growth suppression of testes in D9P is associated with suppression of spermatogenesis has not yet been shown. We aimed to determine the effect of a low protein diet and constant darkness with or without dietary cystine in testes using a histological technique. In the histological assessment, D9P testes showed a decreased number of seminiferous tubules with elongated spermatids, indicating a functional testicular defect in this group. However, cystine supplementation resulted in enhanced spermatogenesis versus control animals (D9PC vs. D9P) implying the importance of cystine to testicular development in this condition. Furthermore, serum testosterone concentration was increased in D9PC suggesting contribution of testosterone to ameliorate spermatogenesis. From these results, we conclude that cystine supplementation to a low protein diet under constant darkness promoted an increase in testosterone which in turn benefitted spermatogenesis.
    MeSH term(s) Animals ; Cystine/administration & dosage ; Cystine/pharmacology ; Darkness/adverse effects ; Diet, Protein-Restricted/adverse effects ; Dietary Proteins/administration & dosage ; Dietary Proteins/pharmacology ; Male ; Organ Size/drug effects ; Rats ; Spermatogenesis/drug effects ; Testis/drug effects ; Testosterone/metabolism
    Chemical Substances Dietary Proteins ; Testosterone (3XMK78S47O) ; Cystine (48TCX9A1VT)
    Language English
    Publishing date 2020-02-13
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 191366-9
    ISSN 1881-7742 ; 0301-4800
    ISSN (online) 1881-7742
    ISSN 0301-4800
    DOI 10.3177/jnsv.66.86
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Book ; Online: Revisiting Mobility Modeling with Graph

    Xu, Xiaohang / Suzumura, Toyotaro / Yong, Jiawei / Hanai, Masatoshi / Yang, Chuang / Kanezashi, Hiroki / Jiang, Renhe / Fukushima, Shintaro

    A Graph Transformer Model for Next Point-of-Interest Recommendation

    2023  

    Abstract: Next Point-of-Interest (POI) recommendation plays a crucial role in urban mobility applications. Recently, POI recommendation models based on Graph Neural Networks (GNN) have been extensively studied and achieved, however, the effective incorporation of ... ...

    Abstract Next Point-of-Interest (POI) recommendation plays a crucial role in urban mobility applications. Recently, POI recommendation models based on Graph Neural Networks (GNN) have been extensively studied and achieved, however, the effective incorporation of both spatial and temporal information into such GNN-based models remains challenging. Extracting distinct fine-grained features unique to each piece of information is difficult since temporal information often includes spatial information, as users tend to visit nearby POIs. To address the challenge, we propose \textbf{\underline{Mob}}ility \textbf{\underline{G}}raph \textbf{\underline{T}}ransformer (MobGT) that enables us to fully leverage graphs to capture both the spatial and temporal features in users' mobility patterns. MobGT combines individual spatial and temporal graph encoders to capture unique features and global user-location relations. Additionally, it incorporates a mobility encoder based on Graph Transformer to extract higher-order information between POIs. To address the long-tailed problem in spatial-temporal data, MobGT introduces a novel loss function, Tail Loss. Experimental results demonstrate that MobGT outperforms state-of-the-art models on various datasets and metrics, achieving 24\% improvement on average. Our codes are available at \url{https://github.com/Yukayo/MobGT}.

    Comment: Accepted as a full paper of SIGSPATIAL 2023
    Keywords Computer Science - Machine Learning
    Subject code 006
    Publishing date 2023-10-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: The Interactive Effect of Dietary Water-Soluble Vitamin Levels on the Depression of Gonadal Development in Growing Male Rats Kept under Disturbed Daily Rhythm

    Hanai, M. / Esashi, T.

    Journal of nutritional science and vitaminology

    2012  Volume 58, Issue 4, Page(s) 230–239

    Language English
    Document type Article
    ZDB-ID 191366-9
    ISSN 0301-4800
    Database Current Contents Nutrition, Environment, Agriculture

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