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