bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-Term Medical Resource Consumption of Radical Prostatectomy vs. Intensity-Modulated Radiotherapy for Old Patients With Prostate Cancer: A Nationwide Population-Based Cohort Study
Authors: Wu Szu-Yuan , Effendi Fransisca Fortunata , Peng Jhao Yang , Huang Chung-Chien 
Published: May 2022

PurposeFew studies have compared the long-term medical resource consumption between radical prostatectomy (RP) and intensity-modulated radiation therapy (IMRT) among old (≥80 years) patients with localized prostate cancer (LPC), particularly in those at high risk of prostate adenocarcinoma.Patients and MethodsThe propensity score matching was conducted to investigate the medical expenditure of two therapeutic modalities (RP and IMRT) in elderly patients with high-risk LPC (HR-LPC). The generalized linear mixed and logistic regression models were employed to evaluate the number of postdischarge visits and medical reimbursement for urinary diseases or complications and the number of hospitalizations for treatment-related complications over 5 years after treatment, respectively.ResultsSignificant differences were observed in the median or mean urology clinic visit numbers across the two therapeutic modalities from the first until fifth year post treatment (p &lt; 0.0001). After adjustment for covariates, the mean difference [95% confidence interval (CI)] of urology clinic visit numbers between RP and IMRT was 13.07 (10.45–15.49, P &lt; 0.0001), 7.47 (8.01–14.92, P &lt; 0.0001), 8.24 (4.59–9.90, P &lt; 0.0001), 6.63 (3.55–11.70, P &lt; 0.0001), and 5.02 (1.12–8.73, P &lt; 0.0001) for the first, second, third, fourth, and fifth years, respectively. In the logistic regression multivariate model with adjustment for covariates [therapy type, age, diagnosis year, income, hospital area, hospital level (academic or nonacademic), clinical and pathological T-stage, grade (Gleason score), pretreatment PSA level (ng/ml), and D'Amico risk classification], the adjusted odds ratio (95% CI) of IMRT was 2.10 (1.37–2.56, P = 0.0013), 1.55 (1.08–2.21, P = 0.0151), 1.35 (1.08–2.21, P = 0.0084), 1.24 (1.07–2.21, P = 0.0071), and 1.09 (1.02–1.81, P = 0.0379) for the first, second, third, fourth, and fifth years, respectively, compared with those of RP. The mean difference (95% CI) of total medical claims amounts of RP and IMRT between the RP and IMRT + ADT groups was 2,69,823 New Taiwan Dollars (NTD) (247,676–291,970, P &lt; 0.0001), 40,803 NTD (17,379–54,228, P &lt; 0.0001), 36,202 NTD (24,375–68,029, P &lt; 0.0001), 26,708 NTD (11,179–54,595, P = 0.0321), and 12,173 NTD (17,140–41,487, P = 0.0187) for the first, second, third, fourth, and fifth years, respectively.ConclusionThe long-term medical resource consumption was higher in old men with HR-LPC undergoing IMRT than in those undergoing RP.
Automated Evaluation of Conventional Clock-Drawing Test Using Deep Neural Network: Potential as a Mass Screening Tool to Detect Individuals With Cognitive Decline
Authors: Sato Kenichiro , Niimi Yoshiki , Mano Tatsuo , Iwata Atsushi , Iwatsubo Takeshi 
Published: May 2022

IntroductionThe Clock-Drawing Test (CDT) is a simple cognitive tool to examine multiple domains of cognition including executive function. We aimed to build a CDT-based deep neural network (DNN) model using data from a large cohort of older adults, to automatically detect cognitive decline, and explore its potential as a mass screening tool.MethodsOver 40,000 CDT images were obtained from the National Health and Aging Trends Study (NHATS) database, which collects the annual surveys of nationally representative community-dwelling older adults in the United States. A convolutional neural network was utilized in deep learning architecture to predict the cognitive status of participants based on drawn clock images.ResultsThe trained DNN model achieved balanced accuracy of 90.1 ± 0.6% in identifying those with a decline in executive function compared to those without [positive likelihood ratio (PLH) = 16.3 ± 6.8, negative likelihood ratio (NLH) = 0.14 ± 0.03], and 77.2 ± 2.7 % balanced accuracy for identifying those with probable dementia from those without (PLH = 5.1 ± 0.5, NLH = 0.37 ± 0.07).ConclusionsThis study demonstrated the feasibility of implementing conventional CDT to be automatically evaluated by DNN with a fair performance in a larger scale than ever, suggesting its potential as a mass screening test for ruling-in or ruling-out those with executive dysfunction or with probable dementia.
Study on Group Differences in Migrant Workers’ Urban Integration in China
Authors: Li Haibo , Li Haitao , Guo Shengyu , Fan Xuelong , Liu Feiyue 
Published: May 2022

ObjectiveThis manuscript evaluates and tests the group differences in migrant workers’ urban integration from the perspectives of individual characteristics and migration characteristics, so as to provide theoretical support and practical guidance for the government to issue more effective assistance policies.MethodsMultilevel comprehensive evaluation method and Entropy method are used to calculate the urban integration level of migrant workers, and one-way ANOVA and optimal scaling regression are used to test the group differences in migrant workers’ urban integration.ResultsBased on the questionnaire data of 854 migrant workers in China, the scale of migrant workers’ urban integration has good reliability and validity. The overall level of migrant workers’ urban integration is 49.61% and there exist group differences in migrant workers’ urban integration. The impact of education level, income level, and migration time on migrant workers’ urban integration is significantly positive, whereas the impact of migration distance on migrant workers’ urban integration is significantly negative. The urban integration level of migrant workers who have family members accompanying them is higher than that of migrant workers who have no family members accompanying them. Gender, age, and marriage have no significant impact on migrant workers’ urban integration.Strengths and Limitations of This StudyThis study aims to measure and test the group differences in migrant workers’ urban integration using ANOVA and optimal scaling regression. However, the shortcomings of this study are the selection of the “migrant workers’ urban integration” scale and the representativeness of the sample used in this study.ConclusionThere are group differences in migrant workers’ urban integration with different education levels, income levels, migration distances, migration times, and statuses of family members accompanying. In the policy of promoting migrant workers’ urban integration, we should accurately count the characteristics of migrant workers and give more attention to migrant workers with low education levels, low-income levels, long migration distances, short migration times, and no family accompany.
Cc2d1b Contributes to the Regulation of Developmental Myelination in the Central Nervous System
Authors: Acheta Jenica , Hong Jiayue , Jeanette Haley , Brar Simrandeep , Yalamanchili Anish , Feltri M. Laura , Manzini M. Chiara , Belin Sophie , Poitelon Yannick 
Published: May 2022

BackgroundNumerous studies have indicated that myelination is the result of the interplay between extracellular signals and an intricate network of transcription factors. Yet, the identification and characterization of the full repertoire of transcription factors that modulate myelination are still incomplete. CC2D1B is a member of the Lgd/CC2D1 family of proteins highly expressed in myelinating cells in the central and peripheral nervous systems. In addition, the absence of CC2D1B limits myelin formation in vitro. Here we propose to delineate the function of CC2D1B in myelinating cells during developmental myelination in vivo in the central and peripheral nervous systems.MethodsWe used a Cc2d1b constitutive knockout mouse model and then performed morphological analyses on semithin sections of sciatic nerves and electron micrographs of optic nerves. We also performed immunohistological studies on coronal brain sections. All analyses were performed at 30 days of age.ResultsIn the peripheral nervous system, animals ablated for Cc2d1b did not show any myelin thickness difference compared to control animals. In the central nervous system, immunohistological studies did not show any difference in the number of oligodendrocytes or the level of myelin proteins in the cortex, corpus callosum, and striatum. However, optic nerves showed a hypomyelination (0.844 ± 0.022) compared to control animals (0.832 ± 0.016) of large diameter myelinated fibers.ConclusionsWe found that CC2D1B plays a role in developmental myelination in the central nervous system. These results suggest that CC2D1B could contribute to gene regulation during oligodendrocytes myelination in optic nerves.
Effects of Low-Carbohydrate Diet and Exercise Training on Gut Microbiota
Authors: Sun Shengyan , Lei On Kei , Nie Jinlei , Shi Qingde , Xu Yuming , Kong Zhaowei 
Published: May 2022

ObjectiveThis study was aimed to evaluate the effects of low-carbohydrate diet (LC) and incorporated high-intensity interval training (HIIT) or moderate-intensity continuous training (MICT) on gut microbiota, and the associations between changes in gut microbiota and cardiometabolic health-related profiles.MethodsFifty overweight/obese Chinese females (age 22.2 ± 3.3 years, body mass index 25.1 ± 3.1 kg/m–2) were randomized to the groups of LC, LC and HIIT (LC-HIIT, 10 repetitions of 6-s sprints and 9-s rest), and LC and MICT group (LC-MICT, cycling at 50–60% V̇O2peak for 30 min). The LC-HIIT and LC-MICT experienced 20 training sessions over 4 weeks.ResultsThe 4-week LC intervention with/without additional training failed to change the Shannon, Chao 1, and Simpson indexes (p &gt; 0.05), LC increased Phascolarctobacterium genus, and LC-HIIT reduced Bifidobacterium genus after intervention (p &lt; 0.05). Groups with extra exercise training increased short-chain fatty acid-producing Blautia genus (p &lt; 0.05) and reduced type 2 diabetes-related genus Alistipes (p &lt; 0.05) compared to LC. Sutterella (r = −0.335) and Enterobacter (r = 0.334) were associated with changes in body composition (p &lt; 0.05). Changes in Ruminococcus, Eubacterium, and Roseburia genera were positively associated with blood pressure (BP) changes (r = 0.392–0.445, p &lt; 0.05), whereas the changes in Bacteroides, Faecalibacterium, and Parabacteroides genera were negatively associated with BP changes (r = −0.567 to −0.362, p &lt; 0.05).ConclusionLC intervention did not change the α-diversity and overall structure of gut microbiota. Combining LC with exercise training may have additional benefits on gut physiology. Specific microbial genera were associated with LC- and exercise-induced regulation of cardiometabolic health.
Clinical Characteristics, Laboratory Findings, Management, and Outcome of Severe Coronavirus Disease 2019 in Children at a Tertiary Care Center in Riyadh, Saudi Arabia: A Retrospective Study
Authors: AlMayouf AbdulAziz , AlShahrani Dayel , AlGhain Salwan , AlFaraj Sarah , Bashawri Yara , AlFawaz Tariq , AlDosari Egab , Al-Awdah Laila , AlShehri Mohammed , AlGoraini Yara 
Published: May 2022

BackgroundNumerous studies worldwide have reported COVID-19 in children; however, the clinical symptoms and consequences of COVID-19 in children have only been reported in a few studies in Saudi and gulf region. Therefore, we aimed to investigate the clinical features and outcomes of COVID-19 infection in children and the therapeutic interventions used.MethodsThis retrospective cohort study included 96 patients with confirmed severe acute respiratory syndrome coronavirus 2 infection aged ≤14 years who were admitted to a tertiary governmental care hospital in Riyadh, Saudi Arabia between March 2020 and November 2020. Data on children with COVID-19, including demographics, comorbidities, symptoms, imaging and laboratory results, therapies, and clinical outcomes, were analyzed.ResultsOf 96 children admitted with a confirmed diagnosis of COVID-19, 63.8% were aged ≤ 3 years, 52.1% were male, 56.2% had an unknown source of infection, and 51% had no comorbidities. Most cases had severe infection (71.88%) as they required oxygen, 10.42% of whom were critical. The most common symptoms were respiratory-related (98%), and the common physical sign was fever (49%). High D-dimer (90.7%) and C-reactive protein (72.09%) levels were found in most cases. Oxygen (71.88%) was the most commonly used treatment. Most patients were discharged home and fully recovered (97.92%). We reported two deaths (2.08%).ConclusionsOur findings showed that the majority of the admitted children with COVID-19 were ≤3 years of age (52.1%) and infected with an unknown source (56.2%). Moreover, the majority of the cases had severe COVID-19 infection as they required oxygen (71.88%), although they had favorable outcomes. However, some cases were critical and resulted in death. Future studies will be crucial to better understand the disease spectrum and potential therapeutic options for COVID-19 in children.
The Molecular Properties and Roles of Pannier in Harmonia axyridis’s Metamorphosis and Melanin Synthesis
Authors: Tian Renbin , Chen Xu , Wu Mengmeng , Xu Qingxuan , Wang Su , Zang Liansheng , Xiao Da 
Published: May 2022

The GATA transcription factor Pannier is identified as the major regulatory gene in color pattern formation in the Asian multi-colored ladybird beetle (Harmonia axyridis). however, the mechanisms of Pannier in regulating melanin synthesis and development in H. axyridis remain elusive. In this study, we identified and characterized Pannier in H. axyridis (HaPnr) and showed it to have two alternative spliced variants named HaPnr-α and HaPnr-β. Analyses of developmental stage expression patterns revealed that HaPnr, HaPnr-α and HaPnr-β were constitutively expressed throughout all developmental stages. To examine the role of HaPnr in H. axyridis development, RNA interference was performed in late larvae (the fourth instar) and early pupae (the first day of pupa stage). The transcript levels of HaPnr were effectively suppressed after the injection of double-stranded RNA of HaPnr (dsHaPnr). The fourth instar larvae injected with dsHaPnr reduced the pupation rates to only 61.50%, compared with 88.5% in the dsGFP-injected group. The un-pupated larvae gradually died after 1 week, and visually unaffected pupae emerged into abnormal adults with malformed hind wings and melanin absent from the cuticle. These abnormal adults gradually died 10 days after eclosion. However, when early pupae were injected with dsHaPnr, the normal eclosion rate was achieved at 88.41% on day 6 after the injection. In addition, these successful eclosion adults also showed an absence of melanin in the cuticle, but they could mate normally and have normal fecundity as compared with the control. We further demonstrated that the suppression of HaPnr-α or HaPnr-β individually did not affect the pupation and eclosion process. The suppression of HaPnr-α expression resulted in elytra melanin decreasing in both the conspicua and the succinea subgroup in H. axyridis. Even though the suppression of HaPnr-β expression only affected the melanin synthesis in the succinea subgroup, it significantly prolonged the time taken for melanin synthesis to occur in the conspicua subgroup in H. axyridis. These results indicate that HaPnr plays an essential role in insect development, especially during their metamorphosis, and also support our hypothesis that HaPnr could regulate melanin synthesis in H. axyridis under the combined action with its two splicing variants, HaPnr-α and HaPnr-β.
Using Experience Sampling Methodology Data to Characterize the Substance Use of Youth With or At-Risk of Psychosis
Authors: Weiss David M. , Bernier Elizabeth , Robbins Douglas R. , Elacqua Katherine M. , Johnson Kelsey A. , Powers Kate , Mesholam-Gately Raquelle I. , Woodberry Kristen A. 
Published: May 2022

ObjectivesPsychotic-spectrum disorders emerge during adolescence and early adulthood, which corresponds with the peak period for substance use initiation. Clinical and epidemiological data provide support that substance use is associated with psychotic symptom onset and severity. Experience-sampling methodology (ESM) data may provide additional insight into dynamic associations between substance use and psychotic symptoms. This is one of the first efforts to characterize substance use frequency and dynamic associations with psychotic symptoms and negative affect from ESM data in both clinical high risk (CHR) and early psychosis (EP) individuals.MethodsUsing ESM, 33 individuals, including 17 with CHR and 16 EP (age range: 15–24), provided information on substance use, negative affect, and psychotic symptoms 6 times a day across a 21-day data collection window. Psychotic symptoms and negative affect included multi-item variables rated on a seven-point Likert Scale. Participants reported recent substance use for 4 drug classes (nicotine, cannabis, depressants, stimulants) via a yes/no item. Descriptive information included data on substance use frequency, and momentary negative affect and psychotic symptoms. Exploratory analyses included multi-level and person-level dynamic structural equation models, which assessed contemporaneous and lagged associations between substance use and symptoms.ResultsTwenty-seven individuals (82%) reported recurrent substance use including stimulants (n = 12, 46%), nicotine (n = 9, 27%), cannabis (n = 6, 18%), and depressants (n = 4, 12%). Individuals with any recurrent substance use indicated usage at 47.7% of answered prompts; stimulants at 23.6%; nicotine at 74.2%; cannabis at 39.1%; and depressants at 20.1%. A multi-level dynamic structural equation model reflected that substance use (any class) was associated with lagged negative affect (β = −0.02, CI: −0.06, &lt; -0.00) but no significant contemporaneous or lagged associations between substance use and psychotic symptoms. Person-level models suggest potentially meaningful inter-individual variability.ConclusionsCHR and EP individuals use a range of substances that may both reflect and influence other experiences in daily life experiences. Data reflected moderate to high rates of recurrent substance use with more consistent use within nicotine and cannabis classes. ESM data have the potential to increase our understanding of the dynamic relationships between substance use and symptoms and to inform treatment for individuals in early course psychosis.
A Multilevel Physical Activity Intervention Among Chinese Rural Older Adults (Stay Active While Aging): A Study Protocol for a Clustered Randomized Controlled Trial
Authors: Li Nanyan , Wang Yufei , Deng Qian , Hu Julinling , Zhou Junmin 
Published: May 2022

BackgroundAlthough a large number of studies have confirmed the benefits of physical activity (PA) in preventing age-related diseases and disabilities, a growing number of older people spent more time in sedentary behavior as opposed to PA. To reverse the alarming trend, numerous studies have corroborated the effectiveness of PA interventions in improving PA among older adults. However, such research is scarce in rural China, where a majority of older adults do not meet the PA recommendation. The Stay Active While Aging (SAWA) aimed to conduct an intervention to improve the PA level among older adults in rural China.MethodsThe SAWA is designed as a single-blind, clustered randomized controlled trial carried out in rural Sichuan, China with an 8-week intervention and a 24-month follow-up. The intervention group will receive a multilevel intervention (individual, interpersonal, and community levels), while the control group will not. The primary outcome is the PA level. Secondary outcome measures include sedentary behavior level, self-efficacy, self-regulation, cognitive function, night-time sleep quality, and anthropometry. The difference-in-differences (DID) will be performed to investigate the between-group differences, adjusted for baseline data and covariates.DiscussionThe SAWA trial will provide a multilevel intervention based on the socio-ecologic model among older adults in rural China. We target the PA level and health status changes while also focus on the maintenance of such intervention during 24 months. If the SAWA produces positive results, it will be possible to recommend similar strategies to be implemented in other Chinese older adults and beyond.Trial registrationChiCTR2100045653 (https://www.chictr.org.cn/index.aspx).
High Mass Resolution fs-LIMS Imaging and Manifold Learning Reveal Insight Into Chemical Diversity of the 1.88 Ga Gunflint Chert
Authors: Lukmanov Rustam A. , de Koning Coenraad , Schmidt Peter Keresztes , Wacey David , Ligterink Niels F. W. , Gruchola Salome , Grimaudo Valentine , Neubeck Anna , Riedo Andreas , Tulej Marek , Wurz Peter 
Published: May 2022

Extraction of useful information from unstructured, large and complex mass spectrometric signals is a challenge in many application fields of mass spectrometry. Therefore, new data analysis approaches are required to help uncover the complexity of such signals. In this contribution, we examined the chemical composition of the 1.88 Ga Gunflint chert using the newly developed high mass resolution laser ionization mass spectrometer (fs-LIMS-GT). We report results on the following: 1) mass-spectrometric multi-element imaging of the Gunflint chert sample; and 2) identification of multiple chemical entities from spatial mass spectrometric data utilizing nonlinear dimensionality reduction and spectral similarity networks. The analysis of 40′000 mass spectra reveals the presence of chemical heterogeneity (seven minor compounds) and two large clusters of spectra registered from the organic material and inorganic host mineral. Our results show the utility of fs-LIMS imaging in combination with manifold learning methods in studying chemically diverse samples.
Commercial Real-Estate at Risk: An Examination of Commercial Building and Economic Impacts in the United States Using a High-Precision Flood Risk Assessment Tool
Authors: Porter Jeremy R. , Shu Evelyn G. , Amodeo Mike F. , Freeman Neil , Bauer Mark , Almufti Ibrahim , Ackerson Meg , Mehta Jinal 
Published: May 2022

Environmental changes are predicted to exacerbate changes in flood events, resulting in consequences for exposed systems. While the availability and quality of flood risk analyses are generally increasing, very little attention has been paid to flood impacts related to the commercial market. This is notable given that the commercial market is often made up of the most valuable physical structures in communities, employs much of the local labor force, and generally plays a key role in the sustainability of economies. This study provides the first national spatial model of flood risk for commercial and multi-unit residential buildings at a property level resolution within the United States. This is achieved through the use of high-resolution inputs (hazard and property data), flood hazard information for the four major flood types, multi-return period hazard information, component-based depth-damage functions, GDP and economic multipliers information, and future facing projections. This study estimates that over the next 30 years, the absolute count of commercial and multi-unit buildings with risk will increase 8%, structural damage costs will increase 25.4%, downtime days will increase 29.1%, and economic impacts will increase 26.5%. Additionally, these impacts are concentrated in certain spatial locations. A high resolution model capturing flood risk as related to these commercial buildings is important for a comprehensive understanding of overall flood risk within the United States.Classification CodesJEL C30, E00, G17, M20, R10, R30