start-ver=1.4
cd-journal=joma
no-vol=27
cd-vols=
no-issue=15
article-no=
start-page=1147
end-page=1160
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2013
dt-pub=20130722
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Positioning device for outdoor mobile robots using optical sensors and lasers
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=We propose a novel method for positioning a mobile robot in an outdoor environment using lasers and optical sensors. Position estimation via a noncontact optical method is useful because the information from the wheel odometer and the global positioning system in a mobile robot is unreliable in some situations. Contact optical sensors such as computer mouse are designed to be in contact with a surface and do not function well in strong ambient light conditions. To mitigate the challenges of an outdoor environment, we developed an optical device with a bandpass filter and a pipe to restrict solar light and to detect translation. The use of two devices enables sensing of the mobile robot’s position, including posture. Furthermore, employing a collimated laser beam allows measurements against a surface to be invariable with the distance to the surface. In this paper, we describe motion estimation, device configurations, and several tests for performance evaluation. We also present the experimental positioning results from a vehicle equipped with our optical device on an outdoor path. Finally, we discuss an improvement in postural accuracy by combining an optical device with precise gyroscopes.
en-copyright=
kn-copyright=
en-aut-name=NagaiIsaku
en-aut-sei=Nagai
en-aut-mei=Isaku
kn-aut-name=永井伊作
kn-aut-sei=永井
kn-aut-mei=伊作
aut-affil-num=1
ORCID=
en-aut-name=YamauchiGenki
en-aut-sei=Yamauchi
en-aut-mei=Genki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=NagataniKeiji
en-aut-sei=Nagatani
en-aut-mei=Keiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=WatanabeKeigo
en-aut-sei=Watanabe
en-aut-mei=Keigo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=YoshidaKazuya
en-aut-sei=Yoshida
en-aut-mei=Kazuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
affil-num=1
en-affil=
kn-affil=自然科学研究科
affil-num=2
en-affil=
kn-affil=Graduate School of Engineering, Tohoku University
affil-num=3
en-affil=
kn-affil=Graduate School of Engineering, Tohoku University
affil-num=4
en-affil=
kn-affil=Department of Intelligent Mechanical Systems , Okayama University
affil-num=5
en-affil=
kn-affil=Graduate School of Engineering, Tohoku University
en-keyword=mobile robot
kn-keyword=mobile robot
en-keyword=position estimation
kn-keyword=position estimation
en-keyword=laser speckle pattern
kn-keyword=laser speckle pattern
en-keyword=optical sensor
kn-keyword=optical sensor
END
start-ver=1.4
cd-journal=joma
no-vol=61
cd-vols=
no-issue=6
article-no=
start-page=546
end-page=553
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2019
dt-pub=20190709
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A histological study of the medial meniscus posterior root tibial insertion
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Purpose/Aim of the study:
Posterior root injury of the medial meniscus often leads to articular cartilage degeneration due to altered biomechanics. To avoid dysfunction, the attachment must be repaired using the transtibial pullout technique. To guide appropriate placement of the tibial tunnel, additional details on the normal anatomy of the meniscus insertion are needed. Therefore, we performed a histological analysis of a tibial bone slice with the medial meniscus posterior insertion obtained during total knee arthroplasty surgery.
Materials and methods:
Horizontal slices of the proximal tibia were obtained from 7 patients with osteoarthritis who underwent total knee arthroplasty. After decalcification, the region of the posterior horn was cut out and segmented into four pieces (2.0 mm thickness; medial to lateral). Sagittal sections were evaluated by safranin O staining or immunohistochemistry with anti-type collagen antibody.
Results:
Safranin O staining showed that the insertion of the posterior root consisted primarily of fibrocartilaginous layers in segment 2. Anatomically, segment 2 corresponded to the sagittal plane passing through the peak of the medial intercondylar tubercle. In this section, safranin O staining and immunohistochemistry revealed that the anterior one-third of the posterior root insertion was richer in proteoglycans and type II collagen than the central and posterior one-third.
Conclusions:
Anatomical insertion of the posterior root of the medial meniscus was located at the sagittal plane passing through the peak of the medial intercondylar tubercle. The structure of the medial meniscus posterior insertion was mainly localized in the anterior one-third.
en-copyright=
kn-copyright=
en-aut-name=HinoTomohito
en-aut-sei=Hino
en-aut-mei=Tomohito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=FurumatsuTakayuki
en-aut-sei=Furumatsu
en-aut-mei=Takayuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MiyazawaShinichi
en-aut-sei=Miyazawa
en-aut-mei=Shinichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=FujiiMasataka
en-aut-sei=Fujii
en-aut-mei=Masataka
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KodamaYuya
en-aut-sei=Kodama
en-aut-mei=Yuya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=KamatsukiYusuke
en-aut-sei=Kamatsuki
en-aut-mei=Yusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=OkazakiYoshiki
en-aut-sei=Okazaki
en-aut-mei=Yoshiki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=MasudaShin
en-aut-sei=Masuda
en-aut-mei=Shin
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=OkazakiYuki
en-aut-sei=Okazaki
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=OzakiToshifumi
en-aut-sei=Ozaki
en-aut-mei=Toshifumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
affil-num=1
en-affil=Department of Orthopaedic Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Orthopaedic Surgery , Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Orthopaedic Surgery , Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Orthopaedic Surgery , Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of Orthopaedic Surgery , Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of Orthopaedic Surgery , Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of Orthopaedic Surgery , Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Department of Orthopaedic Surgery , Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=9
en-affil=Department of Orthopaedic Surgery , Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
affil-num=10
en-affil=Department of Orthopaedic Surgery , Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences
kn-affil=
en-keyword=Medial meniscus posterior insertion
kn-keyword=Medial meniscus posterior insertion
en-keyword=histological analysis
kn-keyword=histological analysis
en-keyword=knee osteoarthritis
kn-keyword=knee osteoarthritis
en-keyword=medial meniscus posterior root tear
kn-keyword=medial meniscus posterior root tear
en-keyword=transtibial pullout repair
kn-keyword=transtibial pullout repair
END
start-ver=1.4
cd-journal=joma
no-vol=41
cd-vols=
no-issue=11
article-no=
start-page=1001
end-page=1007
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2019
dt-pub=20191005
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Yoga-plus exercise mix promotes cognitive, affective, and physical functions in elderly people
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Objectives:
Increased attention is being paid to Asian medicine in balanced total health care. We investigated the effects of mixed exercise including yoga ('Yoga-plus') among elderly individuals.
Methods:
A total of 385 subjects (72 males and 313 females, 75.5 ± 8.7 years old) participated in a 12-month (M) exercise program at a health and welfare center, a day service center, and a nursing home. Cognitive, affective, and physical functions, and activities of daily living (ADL), were compared at baseline (0M), 6M and 12M of exercise intervention.
Results:
Mean scores on the frontal assessment battery, clock drawing test, cube copying test, letter fluency, and category fluency significantly improved after the Yoga-plus intervention, while mini-mental state examination, Hasegawa dementia score-revised, and trail-making test performance were relatively stable. Affective scores on the geriatric depression scale (GDS), apathy scale (AS) and Abe's behavioral and psychological symptoms of dementia were not significantly affected by exercise therapy, but subgroups with higher baseline GDS (GDS ≥ 5) and AS (AS ≥ 16) scores showed a significant improvement after intervention. One-leg standing time and 3-m timed up and go test performance significantly improved after 12M intervention.
Discussion:
Yoga-plus improved cognitive, affective, ADL, and physical functions in a local elderly population, particularly among below-baseline individuals, indicating the benefits of dementia prevention among elderly individuals.
en-copyright=
kn-copyright=
en-aut-name=HishikawaNozomi
en-aut-sei=Hishikawa
en-aut-mei=Nozomi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TakahashiYoriko
en-aut-sei=Takahashi
en-aut-mei=Yoriko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=FukuiYusuke
en-aut-sei=Fukui
en-aut-mei=Yusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=TokuchiRyo
en-aut-sei=Tokuchi
en-aut-mei=Ryo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=FurusawaJunichi
en-aut-sei=Furusawa
en-aut-mei=Junichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=TakemotoMami
en-aut-sei=Takemoto
en-aut-mei=Mami
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=SatoKota
en-aut-sei=Sato
en-aut-mei=Kota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=YamashitaToru
en-aut-sei=Yamashita
en-aut-mei=Toru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=OhtaYasuyuki
en-aut-sei=Ohta
en-aut-mei=Yasuyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=AbeKoji
en-aut-sei=Abe
en-aut-mei=Koji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
affil-num=1
en-affil=Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Education, Nippon Ayurveda School
kn-affil=
affil-num=3
en-affil= Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Occupational Therapy, Okayama Institute for Medical and Technical Sciences
kn-affil=
affil-num=5
en-affil=Department of Occupational Therapy, Mizunaga Rehabilitation Hospital
kn-affil=
affil-num=6
en-affil= Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil= Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil= Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=9
en-affil= Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=10
en-affil= Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=Affective function
kn-keyword=Affective function
en-keyword=cognitive function
kn-keyword=cognitive function
en-keyword=elderly population
kn-keyword=elderly population
en-keyword=physical function
kn-keyword=physical function
en-keyword=yoga exercise
kn-keyword=yoga exercise
END
start-ver=1.4
cd-journal=joma
no-vol=36
cd-vols=
no-issue=16
article-no=
start-page=1527
end-page=1539
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2020
dt-pub=20200526
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Estimating Level of Engagement from Ocular Landmarks
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=E-learning offers many advantages like being economical, flexible and customizable, but also has challenging aspects such as lack of – social-interaction, which results in contemplation and sense of remoteness. To overcome these and sustain learners’ motivation, various stimuli can be incorporated. Nevertheless, such adjustments initially require an assessment of engagement level. In this respect, we propose estimating engagement level from facial landmarks exploiting the facts that (i) perceptual decoupling is promoted by blinking during mentally demanding tasks; (ii) eye strain increases blinking rate, which also scales with task disengagement; (iii) eye aspect ratio is in close connection with attentional state and (iv) users’ head position is correlated with their level of involvement. Building empirical models of these actions, we devise a probabilistic estimation framework. Our results indicate that high and low levels of engagement are identified with considerable accuracy, whereas medium levels are inherently more challenging, which is also confirmed by inter-rater agreement of expert coders.
en-copyright=
kn-copyright=
en-aut-name=YucelZeynep
en-aut-sei=Yucel
en-aut-mei=Zeynep
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=KoyamaSerina
en-aut-sei=Koyama
en-aut-mei=Serina
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MondenAkito
en-aut-sei=Monden
en-aut-mei=Akito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=SasakuraMariko
en-aut-sei=Sasakura
en-aut-mei=Mariko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Department of Computer Science, Division of Industrial Innovation Sciences, Okayama University
kn-affil=
affil-num=2
en-affil=Department of Computer Science, Division of Industrial Innovation Sciences, Okayama University
kn-affil=
affil-num=3
en-affil=Department of Computer Science, Division of Industrial Innovation Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Department of Computer Science, Division of Industrial Innovation Sciences, Okayama University
kn-affil=
END
start-ver=1.4
cd-journal=joma
no-vol=79
cd-vols=
no-issue=2
article-no=
start-page=118
end-page=123
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2020
dt-pub=20200721
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Association between the incidence of early childhood caries and attending childcare among toddlers in a rural area of Japan: a prospective cohort study
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Objective
The purpose of this study was to investigate the association between the incidence of early childhood caries (ECC) and factors of the daytime childcare environment among toddlers in a rural area of Japan.
Material and methods
This was a prospective cohort study. Data collected from 2011 to 2015 were obtained for initially caries-free, 18-month-old toddlers (N = 640). Dentists recorded the numbers of decayed, missing and filled teeth (caries incidence) of toddlers at baseline (age 18 months) and follow-up (age 3 years). In addition, a questionnaire survey was conducted on guardians at baseline to record data on lifestyle.
Results
In total, 159 (24.8%) toddlers had newly identified ECC at follow-up. Logistic regression analyses indicated that the incidence of ECC was significantly associated with receiving daytime care at a nursery school (odds ratio [OR], 1.55; 95% confidence interval [CI], 1.05–2.30; p = .029), prolonged breastfeeding (OR, 1.71; 95%CI, 1.15–2.55; p = .008), and snacking ≥3 times a day (OR, 2.39; 95%CI, 1.53–3.74; p < .001).
Conclusion
These findings suggest that receiving daytime care at a nursery school, prolonged breastfeeding, and frequent snacking are associated with an increased risk of ECC among Japanese toddlers in rural areas.
en-copyright=
kn-copyright=
en-aut-name=YokoiAya
en-aut-sei=Yokoi
en-aut-mei=Aya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TakeuchiNoriko
en-aut-sei=Takeuchi
en-aut-mei=Noriko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=EkuniDaisuke
en-aut-sei=Ekuni
en-aut-mei=Daisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MoritaManabu
en-aut-sei=Morita
en-aut-mei=Manabu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
affil-num=1
en-affil=Department of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=Dental caries
kn-keyword=Dental caries
en-keyword=toddler
kn-keyword=toddler
en-keyword=nursery school
kn-keyword=nursery school
en-keyword=early childhood caries
kn-keyword=early childhood caries
en-keyword=childcare
kn-keyword=childcare
END
start-ver=1.4
cd-journal=joma
no-vol=42
cd-vols=
no-issue=1
article-no=
start-page=2187623
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230308
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Short stature in small-for-gestational-age offspring born to mothers with hypertensive disorders of pregnancy
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Objective: To investigate the incidence and risk factors of small-for-gestational age (SGA) short stature at 2 and 3 years of age in SGA offspring born to women with hypertensive disorders of pregnancy (HDP).
Methods: We examined 226 women with HDP whose respective SGA offspring were delivered.
Results: Eighty offspring (41.2%) were diagnosed with SGA short stature. The prematurity before 32 weeks of gestation was the most significant factor for catch-up growth failure.
Conclusion: In SGA offspring born to women with HDP, SGA short stature incidence was high, and the risk factor was prematurity before 32 weeks of gestation.
en-copyright=
kn-copyright=
en-aut-name=MishimaSakurako
en-aut-sei=Mishima
en-aut-mei=Sakurako
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MitsuiTakashi
en-aut-sei=Mitsui
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=TaniKazumasa
en-aut-sei=Tani
en-aut-mei=Kazumasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=MakiJota
en-aut-sei=Maki
en-aut-mei=Jota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=EtoEriko
en-aut-sei=Eto
en-aut-mei=Eriko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=HayataKei
en-aut-sei=Hayata
en-aut-mei=Kei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=WashioYosuke
en-aut-sei=Washio
en-aut-mei=Yosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=YoshimotoJunko
en-aut-sei=Yoshimoto
en-aut-mei=Junko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=TsukaharaHirokazu
en-aut-sei=Tsukahara
en-aut-mei=Hirokazu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=MasuyamaHisashi
en-aut-sei=Masuyama
en-aut-mei=Hisashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
affil-num=1
en-affil=Department of Obstetrics and Gynecology, Okayama University Graduate School of Medicine
kn-affil=
affil-num=2
en-affil=Department of Obstetrics and Gynecology, Okayama University Graduate School of Medicine
kn-affil=
affil-num=3
en-affil=Department of Obstetrics and Gynecology, Okayama University Graduate School of Medicine
kn-affil=
affil-num=4
en-affil=Department of Obstetrics and Gynecology, Okayama University Graduate School of Medicine
kn-affil=
affil-num=5
en-affil=Department of Obstetrics and Gynecology, Okayama University Graduate School of Medicine
kn-affil=
affil-num=6
en-affil=Department of Obstetrics and Gynecology, Okayama University Graduate School of Medicine
kn-affil=
affil-num=7
en-affil=Department of Pediatrics, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Department of Pediatrics, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=9
en-affil=Department of Pediatrics, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=10
en-affil=Department of Obstetrics and Gynecology, Okayama University Graduate School of Medicine
kn-affil=
en-keyword=Short stature
kn-keyword=Short stature
en-keyword=catch-up growth
kn-keyword=catch-up growth
en-keyword=small-for-gestational age
kn-keyword=small-for-gestational age
en-keyword=premature birth
kn-keyword=premature birth
en-keyword=hypertensive disorders of pregnancy
kn-keyword=hypertensive disorders of pregnancy
END
start-ver=1.4
cd-journal=joma
no-vol=24
cd-vols=
no-issue=1
article-no=
start-page=2183710
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230310
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Electrochemical control of bone microstructure on electroactive surfaces for modulation of stem cells and bone tissue engineering
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Controlling stem cell behavior at the material interface is crucial for the development of novel technologies in stem cell biology and regenerative medicine. The composition and presentation of bio-factors on a surface strongly influence the activity of stem cells. Herein, we designed an electroactive surface that mimics the initial process of trabecular bone formation, by immobilizing chondrocyte-derived plasma membrane nanofragments (PMNFs) on its surface for rapid mineralization within 2 days. Moreover, the electroactive surface was based on the conducting polymer polypyrrole (PPy), which enabled dynamic control of the presentation of PMNFs on the surface via electrochemical redox switching, further resulting in the formation of bone minerals with different morphologies. Furthermore, bone minerals with contrasting surface morphologies had differential effects on the differentiation of human bone marrow-derived stem cells (hBMSCs) cultured on the surface. Together, this electroactive surface showed multifunctional characteristics, not only allowing dynamic control of PMNF presentation but also promoting the formation of bone minerals with different morphologies within 2 days. This electroactive substrate could be valuable for more precise control of stem cell growth and differentiation, and further development of more suitable microenvironments containing bone apatite for housing a bone marrow stem cell niche, such as biochips/bone-on-chips.
en-copyright=
kn-copyright=
en-aut-name=CaoDanfeng
en-aut-sei=Cao
en-aut-mei=Danfeng
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MartinezJose G.
en-aut-sei=Martinez
en-aut-mei=Jose G.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=AnadaRisa
en-aut-sei=Anada
en-aut-mei=Risa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HaraEmilio Satoshi
en-aut-sei=Hara
en-aut-mei=Emilio Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=KamiokaHiroshi
en-aut-sei=Kamioka
en-aut-mei=Hiroshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=JagerEdwin W. H.
en-aut-sei=Jager
en-aut-mei=Edwin W. H.
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Sensor and Actuator Systems, Department of Physics, Chemistry and Biology (IFM), Linköping University
kn-affil=
affil-num=2
en-affil=Sensor and Actuator Systems, Department of Physics, Chemistry and Biology (IFM), Linköping University
kn-affil=
affil-num=3
en-affil=Advanced Research Center for Oral and Craniofacial Sciences Dental School, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=4
en-affil=Advanced Research Center for Oral and Craniofacial Sciences Dental School, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=5
en-affil=Department of Orthodontics, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
affil-num=6
en-affil=Sensor and Actuator Systems, Department of Physics, Chemistry and Biology (IFM), Linköping University
kn-affil=
en-keyword=Polypyrrole
kn-keyword=Polypyrrole
en-keyword=plasma membrane
kn-keyword=plasma membrane
en-keyword=redox switching
kn-keyword=redox switching
en-keyword=bone
kn-keyword=bone
en-keyword=chip
kn-keyword=chip
en-keyword=organ-on-chip
kn-keyword=organ-on-chip
END
start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230513
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Biomass estimation of World rice (Oryza sativa L.) core collection based on the convolutional neural network and digital images of canopy
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Above-ground biomass (AGB) is an important indicator of crop productivity. Destructive measurements of AGB incur huge costs, and most non-destructive estimations cannot be applied to diverse cultivars having different canopy architectures. This insufficient access to AGB data has potentially limited improvements in crop productivity. Recently, a deep learning technique called convolutional neural network (CNN) has been applied to estimate crop AGB due to its high capacity for digital image recognition. However, the versatility of the CNN-based AGB estimation for diverse cultivars is still unclear. We established and evaluated a CNN-based estimation method for rice AGB using digital images with 59 diverse cultivars which were mostly in World Rice Core Collection. Across two years at two locations, we took 12,183 images of 59 cultivars with commercial digital cameras and manually obtained their corresponding AGB. The CNN model was established by using 28 cultivars and showed high accuracy (R-2 = 0.95) to the test dataset. We further evaluated the performance of the CNN model by using 31 cultivars, which were not in the model establishment. The CNN model successfully estimated AGB when the observed AGB was lesser than 924 g m(-2) (R-2 = 0.87), whereas it underestimated AGB when the observed AGB was greater than 924 g m(-2) (R-2 = 0.02). This underestimation might be improved by adding training data with a greater AGB in further study. The present study indicates that this CNN-based estimation method is highly versatile and could be a practical tool for monitoring crop AGB in diverse cultivars.
en-copyright=
kn-copyright=
en-aut-name=NakajimaKota
en-aut-sei=Nakajima
en-aut-mei=Kota
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=TanakaYu
en-aut-sei=Tanaka
en-aut-mei=Yu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=KatsuraKeisuke
en-aut-sei=Katsura
en-aut-mei=Keisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=YamaguchiTomoaki
en-aut-sei=Yamaguchi
en-aut-mei=Tomoaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=WatanabeTomoya
en-aut-sei=Watanabe
en-aut-mei=Tomoya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=ShiraiwaTatsuhiko
en-aut-sei=Shiraiwa
en-aut-mei=Tatsuhiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
affil-num=1
en-affil=Graduate School of Agriculture, Kyoto University
kn-affil=
affil-num=2
en-affil=Graduate School of Environmental, Life, Natural Science and Technology, Okayama University
kn-affil=
affil-num=3
en-affil=United Graduate School of Agriculture Science, Tokyo University of Agriculture and Technology
kn-affil=
affil-num=4
en-affil=United Graduate School of Agriculture Science, Tokyo University of Agriculture and Technology
kn-affil=
affil-num=5
en-affil=Independent researcher
kn-affil=
affil-num=6
en-affil=Graduate School of Agriculture, Kyoto University
kn-affil=
en-keyword=Above-ground biomass
kn-keyword=Above-ground biomass
en-keyword=Biomass estimation
kn-keyword=Biomass estimation
en-keyword=Convolutional neural network
kn-keyword=Convolutional neural network
en-keyword=Digital image
kn-keyword=Digital image
en-keyword=Rice
kn-keyword=Rice
en-keyword=World rice core collection
kn-keyword=World rice core collection
END
start-ver=1.4
cd-journal=joma
no-vol=45
cd-vols=
no-issue=1
article-no=
start-page=2305899
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2024
dt-pub=20240125
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Clinical characteristics of female long COVID patients with menstrual symptoms: a retrospective study from a Japanese outpatient clinic
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Purpose: To elucidate the impact of long COVID on menstruation and mental health, medical records of patients with long COVID were evaluated.
Methods: Symptoms of long COVID, QOL, mental health, and related endocrine data were compared between two groups with and without menstrual disturbances.
Results: Of 349 female patients who visited our clinic between February 2021 and March 2023, 223 patients with long COVID (aged 18-50 years) were included. Forty-four (19.7%) of the patients had menstrual symptoms associated with long COVID. The patients with menstrual symptoms were older than those without menstrual symptoms (42.5 vs. 38 years). The percentage of patients with menstrual symptoms was higher during the Omicron phase (24%) than during the Preceding (13%) and Delta (12%) phases. Cycle irregularity was the most frequent (in 63.6% of the patients), followed by severe pain (25%), heavy bleeding (20.5%), perimenopausal symptoms (18.2%), and premenstrual syndrome (15.9%). Fatigue and depression were the most frequent complications. Scores for fatigue and for QOL were significantly worse in long COVID patients with menstrual symptoms. Results of endocrine examinations showed significantly increased cortisol levels in patients with menstrual complaints.
Conclusion: Long COVID has an impact on menstrual conditions and on QOL related to menstrual conditions.
en-copyright=
kn-copyright=
en-aut-name=SakuradaYasue
en-aut-sei=Sakurada
en-aut-mei=Yasue
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=
en-aut-name=MatsudaYui
en-aut-sei=Matsuda
en-aut-mei=Yui
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=
en-aut-name=MotohashiKanon
en-aut-sei=Motohashi
en-aut-mei=Kanon
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=
en-aut-name=HasegawaToru
en-aut-sei=Hasegawa
en-aut-mei=Toru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=
en-aut-name=OtsukaYuki
en-aut-sei=Otsuka
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=
en-aut-name=NakanoYasuhiro
en-aut-sei=Nakano
en-aut-mei=Yasuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=
en-aut-name=TokumasuKazuki
en-aut-sei=Tokumasu
en-aut-mei=Kazuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=
en-aut-name=YamamotoKoichiro
en-aut-sei=Yamamoto
en-aut-mei=Koichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=
en-aut-name=SunadaNaruhiko
en-aut-sei=Sunada
en-aut-mei=Naruhiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=
en-aut-name=HondaHiroyuki
en-aut-sei=Honda
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=
en-aut-name=HagiyaHideharu
en-aut-sei=Hagiya
en-aut-mei=Hideharu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=
en-aut-name=UedaKeigo
en-aut-sei=Ueda
en-aut-mei=Keigo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=
en-aut-name=OtsukaFumio
en-aut-sei=Otsuka
en-aut-mei=Fumio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=
affil-num=1
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=2
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=3
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=4
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=5
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=6
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=7
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=8
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=9
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=10
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=11
en-affil=Department of Infectious Diseases, Okayama University Hospital
kn-affil=
affil-num=12
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
affil-num=13
en-affil=Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=Depression
kn-keyword=Depression
en-keyword=fatigue
kn-keyword=fatigue
en-keyword=menstrual symptoms
kn-keyword=menstrual symptoms
en-keyword=omicron variant
kn-keyword=omicron variant
en-keyword=post-COVID-19 condition
kn-keyword=post-COVID-19 condition
END