bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of an AI based automated analysis of pediatric Apple Watch iECGs
Authors: Teich L. , Franke D. , Michaelis A. , Dähnert I. , Gebauer R. A. , Markel F. , Paech C. 
Published: May 2023

IntroductionThe Apple Watch valuably records event-based electrocardiograms (iECG) in children, as shown in recent studies by Paech et al. In contrast to adults, though, the automatic heart rhythm classification of the Apple Watch did not provide satisfactory results in children. Therefore, ECG analysis is limited to interpretation by a pediatric cardiologist. To surmount this difficulty, an artificial intelligence (AI) based algorithm for the automatic interpretation of pediatric Apple Watch iECGs was developed in this study.MethodsA first AI-based algorithm was designed and trained based on prerecorded and manually classified i.e., labeled iECGs. Afterward the algorithm was evaluated in a prospectively recruited cohort of children at the Leipzig Heart Center. iECG evaluation by the algorithm was compared to the 12-lead-ECG evaluation by a pediatric cardiologist (gold standard). The outcomes were then used to calculate the sensitivity and specificity of the Apple Software and the self-developed AI.ResultsThe main features of the newly developed AI algorithm and the rapid development cycle are presented. Forty-eight pediatric patients were enrolled in this study. The AI reached a specificity of 96.7% and a sensitivity of 66.7% for classifying a normal sinus rhythm.ConclusionThe current study presents a first AI-based algorithm for the automatic heart rhythm classification of pediatric iECGs, and therefore provides the basis for further development of the AI-based iECG analysis in children as soon as more training data are available. More training in the AI algorithm is inevitable to enable the AI-based iECG analysis to work as a medical tool in complex patients.
High-Q transmission characteristics in terahertz guided-mode magnetic resonance system
Authors: Yan Fei , Li Qi , Wang Ze Wen 
Published: May 2023

Introduction: Guided mode resonance is generated by coupling wave diffractions with the waveguided mode. The guided mode resonances provide narrow-linewidth and resonance intensity for high quality factor (Q-factor) optical resonators.Methods: we demonstrate the high-Q guided mode resonances propagating on a low-loss, terahertz guided-mode magnetic resonance system, which are periodic square lattices of U-shaped split ring resonators (SRRs) on quartz substrates.Results: By choosing a judicious array period, two distinct frequency guided mode resonances and a magnetic dipole resonance with high Q-factor are observed. The interaction of the two resonances at similar frequencies produces a total transmission peak.Discussion: The dependences of the magnetic dipole resonance on the lattice period and structural parameters are investigated and discussed. The frequency difference between these two guided mode resonances widens with increasing Lattice period. The sharp spectral feature of each resonance results in the abrupt degradation of the spectral edge transmission. The proposed scheme is promising for efficient THz sensing, THz switching, and slow-light devices.
Pelvic floor dysfunction and electrophysiology in postpartum women at 6–8 weeks
Authors: Wu Jia-Cong , Yu Xiao-Li , Ji Hui-Jing , Lou Hai-Qin , Gao Hong-Ju , Huang Guo-Qin , Zhu Xiao-Li 
Published: May 2023

Objective: To investigate the incidence of pelvic floor dysfunction (PFD) and electrophysiological indicators in postpartum women at 6–8 weeks and explore the influence of demographic characteristics and obstetric factors.Methods: A survey questionnaire collected information about the conditions of women during their pregnancy and puerperal period and their demographic characteristics; pelvic organ prolapse quantitation (POP-Q) and pelvic floor muscle electrophysiology (EP) examination were conducted in postpartum women at 6–8 weeks.Results: Vaginal delivery was a risk factor for anterior pelvic organ prolapse (POP) (OR 7.850, 95% confidence interval (CI) 5.804–10.617), posterior POP (OR 5.990, 95% CI 3.953–9.077), anterior and posterior stage II POP (OR 6.636, 95% CI 3.662–15.919), and postpartum urinary incontinence (UI) (OR 6.046, 95% CI 3.894–9.387); parity was a risk factor for anterior POP (OR 1.397,95% CI 0.889–2.198) and anterior and posterior stage II POP (OR 4.162, 95% CI 2.125–8.152); age was a risk factor for anterior POP (OR 1.056, 95% CI 1.007–1.108) and postpartum UI (OR 1.066, 95% CI 1.014–1.120); body mass index (BMI) was a risk factor for postpartum UI (OR 1.117, 95% CI 1.060–1.177); fetal birth weight was a risk factor for posterior POP (OR 1.465, 95% CI 1.041–2.062); and the frequency of pregnancy loss was a risk factor for apical POP (OR 1.853, 95% CI 1.060–3.237).Conclusion: Pelvic floor muscle EP is a sensitive index of early pelvic floor injury. The changes in muscle strength and fatigue degree coexist in different types of postpartum PFD, and each has its own characteristics.
Cerebral hemodynamics comparison using transcranial doppler ultrasound and 4D flow MRI
Authors: Fico Brandon G. , Miller Kathleen B. , Rivera-Rivera Leonardo A. , Corkery Adam T. , Pearson Andrew G. , Loggie Nicole A. , Howery Anna J. , Rowley Howard A. , Johnson Kevin M. , Johnson Sterling C. , Wieben Oliver , Barnes Jill N. 
Published: May 2023

Introduction: Age-related changes in cerebral hemodynamics are controversial and discrepancies may be due to experimental techniques. As such, the purpose of this study was to compare cerebral hemodynamics measurements of the middle cerebral artery (MCA) between transcranial Doppler ultrasound (TCD) and four-dimensional flow MRI (4D flow MRI).Methods: Twenty young (25 ± 3 years) and 19 older (62 ± 6 years) participants underwent two randomized study visits to evaluate hemodynamics at baseline (normocapnia) and in response to stepped hypercapnia (4% CO2, and 6% CO2) using TCD and 4D flow MRI. Cerebral hemodynamic measures included MCA velocity, MCA flow, cerebral pulsatility index (PI) and cerebrovascular reactivity to hypercapnia. MCA flow was only assessed using 4D flow MRI.Results: MCA velocity between the TCD and 4D flow MRI methods was positively correlated across the normocapnia and hypercapnia conditions (r = 0.262; p = 0.004). Additionally, cerebral PI was significantly correlated between TCD and 4D flow MRI across the conditions (r = 0.236; p = 0.010). However, there was no significant association between MCA velocity using TCD and MCA flow using 4D flow MRI across the conditions (r = 0.079; p = 0.397). When age-associated differences in cerebrovascular reactivity using conductance were compared using both methodologies, cerebrovascular reactivity was greater in young adults compared to older adults when using 4D flow MRI (2.11 ± 1.68 mL/min/mmHg/mmHg vs. 0.78 ± 1.68 mL/min/mmHg/mmHg; p = 0.019), but not with TCD (0.88 ± 1.01 cm/s/mmHg/mmHg vs. 0.68 ± 0.94 cm/s/mmHg/mmHg; p = 0.513).Conclusion: Our results demonstrated good agreement between the methods at measuring MCA velocity during normocapnia and in response to hypercapnia, but MCA velocity and MCA flow were not related. In addition, measurements using 4D flow MRI revealed effects of aging on cerebral hemodynamics that were not apparent using TCD.
Characteristics of changes in the functional status of the brain before and after 1,000 m all-out paddling for different levels of dragon boat athletes
Authors: Wu Qianqian , Jiang Hongke , Shao Changzhuan , Zhang Yan , Zhou Wu , Cao Yingying , Song Jing , Shi Bing , Chi Aiping , Wang Chao 
Published: May 2023

PurposesDragon boat is a traditional sport in China, but the brain function characteristics of dragon boat athletes are still unclear. Our purpose is to explore the changing characteristics of brain function of dragon boat athletes at different levels before and after exercise by monitoring the changes of EEG power spectrum and microstate of athletes before and after rowing.MethodsTwenty-four expert dragon boat athletes and 25 novice dragon boat athletes were selected as test subjects to perform the 1,000 m all-out paddling exercise on a dragon boat dynamometer. Their resting EEG data was collected pre- and post-exercise, and the EEG data was pre-processed and then analyzed using power spectrum and microstate based on Matlab software.ResultsPost-Exercise, the Heart Rate peak (HR peak), Percentage of Heart Rate max (HR max), Rating of Perceived Exertion (RPE), and Exercise duration of the novice group were significantly higher than expert group (p &lt; 0.01). Pre-exercise, the power spectral density values in the δ, α1, α2, and β1 bands were significantly higher in the expert group compared to the novice group (p &lt; 0.05). Post-exercise, the power spectral density values in the δ, θ, and α1 bands were significantly lower in the expert group compared to the novice group (p &lt; 0.05), the power spectral density values of α2, β1, and β2 bands were significantly higher (p &lt; 0.05). The results of microstate analysis showed that the duration and contribution of microstate class D were significantly higher in the pre-exercise expert group compared to the novice group (p &lt; 0.05), the transition probabilities of A → D, C → D, and D → A were significantly higher (p &lt; 0.05). Post-exercise, the duration, and contribution of microstate class C in the expert group decreased significantly compared to the novice group (p &lt; 0.05), the occurrence of microstate classes A and D were significantly higher (p &lt; 0.05), the transition probability of A → B was significantly higher (p &lt; 0.05), and the transition probabilities of C → D and D → C were significantly lower (p &lt; 0.05).ConclusionThe functional brain state of dragon boat athletes was characterized by expert athletes with closer synaptic connections of brain neurons and higher activation of the dorsal attention network in the resting state pre-exercise. There still had higher activation of cortical neurons after paddling exercise. Expert athletes can better adapt to acute full-speed oar training.
Handwriting processes when spelling morphologically complex words in children with and without Developmental Language Disorder
Authors: Critten Sarah , Connelly Vincent , Dockrell Julie E. , Mundy Ian R. , O’Rourke Lynsey , Callaghan Laura , Walter Kirsty 
Published: May 2023

IntroductionRepresentations activated during handwriting production code information on morphological structure and reflect decomposition of the root and suffix. Children with Developmental Language Disorder (DLD) have significant difficulties in spelling morphologically complex words, but previous research has not sought evidence for a morphological decomposition effect via an examination of handwriting processes in this population.MethodThirty-three children aged 9–10 years with DLD, 33 children matched for chronological age (CA), and 33 younger children aged 7–8 years matched for oral language ability (LA) completed a dictated spelling task (21 words; 12 with inflectional suffixes, nine with derivational suffixes). The task was completed on paper with an inking pen linked to a graphics tablet running the handwriting software Eye and Pen. Pause analyses and letter duration analyses were conducted.ResultsThe three groups showed similar handwriting processes, evidencing a morphological decomposition effect in a natural writing task. Pause durations observed at the root/suffix boundary were significantly longer than those occurring in the root. Letter durations were also significantly longer for the letter immediately prior to the boundary compared to the letter after it. Nevertheless, despite being commensurate to their LA matches for mean pause durations and letter durations, children with DLD were significantly poorer at spelling derivational morphemes. Handwriting processes did significantly predict spelling accuracy but to a much lesser extent compared to reading ability.DiscussionIt is suggested that derivational spelling difficulties in DLD may derive more from problems with underspecified orthographic representations as opposed to handwriting processing differences.
Putting things in and taking them out of containers: a young child's interaction with objects
Authors: Nishio Chihiro , Nozawa Hikaru , Yamazaki Hiroe , Kudo Kazutoshi 
Published: May 2023

IntroductionHow does the behavior of putting things away (putting them in) in a container and using them again (taking them out) develop in young children? Though object interaction is one of the most examined topics in child development, research on organized behavior with various objects and containers at home is lacking. Rather than conducting experiments on young children's interactions with objects, this study focused on natural child–object interaction in the home.MethodsWe conducted a case study on a young child's natural interaction with objects at home, focusing on when the child puts them in or takes them out of a container (the shelf, the cabinet, or the box). The study took place over 2½ years.ResultsThe behaviors of putting many objects in a container and taking them out appeared at 9 months old. After acquiring the skill of walking, the child carried the objects using bags. Putting objects in and taking them out was embedded in the locomotion, and the child prepared the containers of toys before play. Pulling as many objects out as possible became rare after 19 months of age. Taking objects out became more appropriate in that context. The child brought out the container before the activity and put things away afterward.DiscussionBased on these findings, the development of organized object interaction as well as the anticipation and significance of the naturalistic longitudinal observations are discussed.
The Job Perception Inventory: considering human factors and needs in the design of human–AI work
Authors: Berretta Sophie , Tausch Alina , Peifer Corinna , Kluge Annette 
Published: May 2023

IntroductionArtificial intelligence (AI) is seen as a driver of change, especially in the context of business, due to its progressive development and increasing connectivity in operational practice. Although it changes businesses and organizations vastly, the impact of AI implementation on human workers with their needs, skills, and job identity is less considered in the development and implementation process. Focusing on humans, however, enables unlocking synergies as well as desirable individual and organizational outcomes.MethodsThe objective of the present study is (a) to develop a survey-based inventory from the literature on work research and b) a first validation with employees encountering an AI application. The Job Perception Inventory (JOPI) functions as a work-analytical tool to support the human-centered implementation and application of intelligent technologies. It is composed of established and self-developed scales, measuring four sections of work characteristics, job identity, perception of the workplace, and the evaluation of the introduced AI.ResultsOverall, the results from the first study from a series of studies presented in this article indicate a coherent survey inventory with reliable scales that can now be used for AI implementation projects.DiscussionFinally, the need and relevance of the JOPI are discussed against the background of the manufacturing industry.
The relationship between hope, medical expenditure and survival among advanced cancer patients
Authors: Chay Junxing , Huynh Vinh Anh , Cheung Yin Bun , Kanesvaran Ravindran , Lee Lai Heng , Malhotra Chetna , Finkelstein Eric Andrew 
Published: May 2023

IntroductionAmong those with advanced illness, higher levels of hope may offer physiological benefits. Yet, greater levels of hope may also encourage aggressive treatments. Therefore, higher levels of hope may lead to greater healthcare utilization, higher expenditure, and longer survival. We test these hypotheses among patients with advanced cancer.MethodsA secondary data analysis from a cross-sectional survey of 195 advanced cancer patients with high mortality risk linked to subsequent healthcare utilization (outpatient, day surgeries, non-emergency admissions), health expenditures, and death records. The survey collected data on hope, measured generally by the Herth Hope Index (HHI) and more narrowly by two questions on illness-related hope. Generalized linear regression and Cox models were used to test our hypotheses.Results142 (78%) survey participants died during the period of analysis, with close to half (46%) doing so within a year of the survey. Contrary to expectation, HHI scores did not have a significant association with healthcare utilization, expenditure or survival. Yet, illness-related hope, defined as those who expected to live at least 2 years, as opposed to the likely prognosis of 1 year or less as determined by the primary treating oncologist, had 6.6 more planned hospital encounters (95% CI 0.90 to 12.30) in the 12-months following the survey and 41% lower mortality risk (hazard ratio: 0.59, 95% CI 0.36 to 0.99) compared to those who were less optimistic. Secondary analysis among decedents showed that patients who believed that the primary intent of their treatment is curative, had higher total expenditure (S$30,712; 95% CI S$3,143 to S$58,282) in the last 12 months of life than those who did not have this belief.ConclusionWe find no evidence of a relationship between a general measure of hope and healthcare utilization, expenditure, or survival among advanced cancer patients. However, greater illness-related hope is positively associated with these outcomes.
Is the combination of depression symptoms and multimorbidity associated with the increase of the prevalence of functional disabilities in Brazilian older adults? A cross-sectional study
Authors: Rosa Patrícia Pereira de Souza da , Marques Larissa Pruner , Corrêa Vanessa Pereira , De Oliveira Cesar , Schneider Ione Jayce Ceola 
Published: May 2023

Introduction: Functional disabilities are more prevalent in older adults with multimorbidity and depression. However, few studies have investigated the combination of multimorbidity and depression with functional disability. This study aims to verify whether symptoms of depression and multimorbidity combined increase the prevalence of functional disability in Brazilian older adults.Material and methods: This is a cross-sectional study conducted with data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil) baseline examination in 2015–2016 in adults aged 50 years and older. The variables included were basic (BADL) and instrumental activities of daily living (IADL), depressive symptoms, multimorbidity (≥2 chronic diseases), sociodemographic variables, and lifestyle. Logistic regression was performed to estimate crude and adjusted odds ratios.Results: A total of 7,842 participants over 50 years of age were included. Of these, 53.5% were women and 50.5% were between 50 and 59 years old, 33.5% reported ≥4 depressive symptoms, 51.4% had multimorbidity, 13.5% reported difficulty in performing at least one BADL, and 45.1% reported difficulty in performing the IADL. In the adjusted analysis, the prevalence of difficulty on BADL was 6.52 (95% CI: 5.14; 8.27) and on IADL was 2.34 (95% CI: 2.15; 2.55), higher for those with depression and multimorbidity combined when compared with those without these conditions.Conclusion: The combination of symptoms of depression and multimorbidity may increase functional impairments in the BADL and IADL of Brazilian older adults, impairing self-efficacy, independence, and autonomy. Early detection of these factors benefits the person, their family, and the healthcare system for health promotion and disease prevention.
The upward propagating ionospheric hiss waves during the seismic time observed by the China seismo-electromagnetic satellite
Authors: Lv Fangxian , Hu Yunpeng , Zhima Zeren , Sun Xiaoying , Lu Chao , Yang Dehe 
Published: May 2023

The ionospheric hiss wave is a broadband incoherent and structureless electromagnetic emission. They appear in a relatively narrower frequency range between −0.1 and 1.5 kHz. However, according to previous observations, abnormal electromagnetic emissions during seismic activities also preferentially appear in the same frequency range of ionospheric hiss. This work studies the propagation features of the ionospheric hiss during seismic time based on the observations from the CSES (China Seismo-Electromagnetic Satellite). The wave vector analysis shows that during seismic activities, except for the downward propagating ionospheric hiss which is a common phenomenon in the ionosphere, there are upward propagating emissions mixed with the downward propagating ionospheric hiss. We made a statistical analysis of the shallow strong earthquakes (M ≥ 6.0, depth below 30 km) that occurred in mainland China from 2019 to 2022. We selected the ionospheric hiss events recorded by orbits passing over the epicenters within a time window (the 1-month prior to and 1-week after the main shock). We found that although most of the events are the typical downward propagating ionospheric hiss waves, however, there are certain events mixed with the upward propagating emissions. The statistical distribution analysis of wave propagation parameters shows that the major part of wave normal angles vary from 40 to 60, the azimuthal angles predominately attain below 40, and the ellipticity shows a more complicated feature varying around ± 0.5, and the planarity values predominate at values between 0.6 and 1. The frequency band of the upward propagating ionospheric hiss mostly varies between 300 Hz and 800 Hz. To further study the behavior of such upward propagating ionospheric hiss wave during the seismic time, we compared the wave activities under non-seismic activity and quiet space weather conditions, and the results confirm that the occurrence rate of the upward propagating emissions under quiet conditions is far less than that in the seismic time. We suggest that there is a link between the upward propagating ionospheric hiss and the seismic activity, but the physical reason behind it still remains a puzzle to us.