bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of a home-based resistance training program on health-related quality of life and sleep quality in children with inflammatory bowel disease in remission
Authors: Mažuranić Ivana Trivić , Sila Sara , Mišak Zrinjka , Hojsak Iva , Kolaček Sanja 
Published: August 2023

Abstract
Purpose: The aim of our study was to investigate the effect of an exercise program on HRQoL and sleep quality in children with IBD in remission.
Methods: A total of 42 paediatric IBD patients in remission (aged 15.3±2.08 years; 25 boys; disease type: Crohn's disease (CD) n=22, ulcerative colitis (UC) n=18, inflammatory bowel disease-unclassified (IBD-U) n=2) were recruited to participate in a 6-month-long home-based exercise program. Prior to starting the program, and after its’ completion, HRQoL was assessed using IMPACT III questionnaire, whilst sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Patients also wore a triaxial accelerometer for five consecutive days before and after the completion of the exercise program for objective assessment of physical activity (PA).
Results: Study participants experienced no significant increase in IMPACT III score (from 147.56±2.73 to 149.59±2.77, p=0.106) following the completion of the exercise program. Prevalence of impaired sleep quality (PSQI>5) significantly decreased from 30.9% to 23.8% (p=0.027). At the baseline, participants’ time spent in light PA (LPA) positively correlated with IMPACT III score (coef. 0.398, p=0.013). Following the completion of the resistance training program, the changes in IMPACT III score correlated positively with time spent in moderate-to-vigorous PA (MVPA) (coef. 0.329, p=0.047) and negatively with changes in PSQI score (coef. -0.493, p=0.001).
Conclusion:The number of children with impaired sleep quality significantly decreased following the completion of a 6-month-long home-based resistance training program, while improvements in HRQoL scores did not reach a statistical difference. Further studies regarding the impact of structuralized exercise programs on HRQoL and sleep quality in children with IBD are warranted.
Family dyads, emotional labor, and holding environments in the simulated encounter: Co-constructive patient simulation as a reflective tool in child and adolescent psychiatry training
Authors: Thomas Isaiah , Benoit Laelia , Duvivier Robbert , de Carvalho-Filho Marco Antonio , Martin Andrés 
Published: August 2023

Abstract
Background:
Patient simulation has been used in medical education to provide a safe and supportive learning environment for learners to practice clinical and interpersonal skills. However, simulation involving pediatric populations, particularly in child and adolescent psychiatry, is rare and generally does not reflect the child-caregiver dyad or the longitudinal aspects of this care, nor does it provide learners with an opportunity to engage with and reflect on these dynamics.
Methods:
We organized as an educational opportunity a series of seven observed patient simulation sessions with a cohort of a dozen child and adolescent psychiatrists (eight fellows approaching graduation and four senior educators). In these sessions, we utilized the previously described co-constructive patient simulation model to create the simulation cases. We included the use of at least two patient actors in most sessions, and two of the case narratives were longitudinally followed across multiple simulation sessions. We approached the data collected during the simulations and their respective debriefings by using thematic analysis informed by a symbolic interactionist approach.
Results:
Based on data from the debriefing sessions and longitudinal narratives, we identified four overarching themes: 1) Reflecting on dyadic challenges: role reversal and individuation; 2) Centering the child, allying with the parent, and treating the family system; 3) Ambivalence in and about the parent-child dyad; and 4) Longitudinal narratives and ambivalence over time.
Conclusion:
The emotional experience of the simulations, for interviewers and observers alike, provided an opportunity to reflect on personal and professional experiences and triggered meaningful insights and connections between participants. These simulated cases called for emotional labor, particularly in the form of creating holding environments; in this way, the simulated encounters and the debriefing sessions became dialogic experiences, in which the patient and provider, parent and child, and learner and instructor could co-construct meaning and foster professional development as reflective practitioners.
Optimization of flat rolling parameters for thermally stable alloy of Al-Cu-Mn system with micro additions of Si and Zr
Authors: Koshmin Alexander , Cherkasov Stanislav , Fortuna Anastasiya , Gamin Yury 
Published: August 2023

Abstract
The phase composition, microstructure and mechanical properties of flat-rolled experimental Al-Cu-Mn system alloy with Si and Zr additions have been studied. The experimental results have been compared with data for the AA2219 commercial alloy pertaining to the same alloying system. Hot deformation of experimental alloy causes the precipitation of ~ 100 nm sized dispersoids and refinement of the eutectic phase particles. The yield strength and relative elongation of the hot-deformed experimental alloy are 255 MPa and 8.6%, respectively. Subsequent cold deformation reduces the relative elongation by 3.5% and increases the yield strength by 50 MPa, while the ultimate tensile strength does not change. After long-term 350°C exposure the mechanical properties of the experimental alloy remain the same as those of the as-deformed one, whereas the yield strength of the 2219 alloy decreases by 2 times and the ultimate tensile strength, by 1.4 times. Comparison of these experimental results with data for the 2219 alloy and other Al-Cu-Mn system alloys cited in this work and reported elsewhere suggests that a good thermal stability of Al-2Cu-2Mn-0.4Si-0.2Zr alloy rolled stock can be achieved by treatment in the regimes designed herein.
Morphological plasticity of Abutilon theophrasti (Malvaceae) reveals its variable growth strategies in dealing with complex biotic environmental factors
Authors: Wang Shu , Zhou Dao-Wei 
Published: August 2023

Abstract
Increased density and delayed emergence are two major biotic factors in nature that have profound and complex effects on plants. No studies have attempted to compare the responses of plants to the two factors via morphological plasticity, particularly in dynamic patterns. We subjected plants of Abutilon theophrasti to four emergence times and three planting densities and measured and analyzed a number of mass and morphological traits at different growth stages. Across both stages, plants emerged in late spring had the highest total mass, and spring and late-spring plants had higher stem mass allocation than later germinants, but plants with delayed emergence had higher leaf and reproductive mass allocation, more leaves and less lateral roots, but lower stem length, stem and root diameter than early-emerged plants. Plants at high density had lower in total mass and most other traits, but higher stem allocation and length, with shorter petioles and lateral roots, than at lower densities. Results suggested plants in a dense population will prefer stem elongation to leaf/root growth, and even at the cost of reproduction, to ensure the survival of the present generations, while those emerged late will prefer leaf and reproductive growth to stem/root growth, for the persistence of future generations. The contrasting strategies revealed that plants are able to analyze the risk levels of environmental signals in a integrative way and adjust their growth strategy dependently, for better adaptation in both the recent and distant future.
Dynamic changes in the expression of C1q/TNF-α-related protein 6 (CTRP6) in Gestational Diabetes Mellitus
Authors: Jiang Jianan , Wei Shuangyu , Chen Miao , Tan Yutian , Yang Zhao , Yang Guiying , Feng Weijie , Han Zhen , Wei Xiaojing , Luo Xiao 
Published: August 2023

Abstract
Aim
C1q/TNF-related protein 6 (CTRP6) is a novel adipokine involved in insulin resistance. Thus, we aim to investigate the expression profile of CTRP6 in plasma, adipose tissue and placenta of GDM patients and mice.
Methods
Pregnant women (GDM n = 9, control n = 10) with a scheduled caesarean section delivery were recruited. High fat diet (HFD) induced C57BL/6 pregnancy mice were chosen as an animal model of GDM. Circulating levels of CTRP6 and adiponectin were examined by ELISA. CTRP6 expression in adipose tissue and placenta were detected by real time qPCR and WB.
Result
The plasma CTRP6 level were decreased during first (for mice)/second and third trimesters, while increased at delivery in GDM patients and mice. Plasma CTRP6 level were significantly correlated with WBC, systolic pressure, diastolic pressure and fasting blood glucose. Moreover, CTRP6 mRNA expression in subcutaneous (sWAT) and omental white adipose tissue (oWAT) as well as placenta were significantly higher in GDM human at cesarean delivery. Furthermore, the mRNA expression of Ctrp6 were increased in sWAT and visceral WAT (vWAT) whilst decreased in interscapular brown adipose tissue (iBAT) of GDM mice at cesarean delivery.
Conclusion
Dynamically expressed CTRP6 may be served as a candidate target for treatment of GDM.
Fungal Skin for Robots
Authors: Gandia Antoni , Adamatzky Andrew 
Published: August 2023

Abstract
Advancements in mycelium technology, stemming from fungal electronics and the development of living mycelium composites and skins, have opened new avenues in the fusion of biological and artificial systems. This paper explores an experimental endeavour that successfully incorporates living, self-regenerating, and reactive Ganoderma sessile mycelium into a model cyborg figurine, creating a bio-cybernetic entity. The mycelium, cultivated using established techniques, was homogeneously grown on the cyborg model’s surface, demonstrating robust reactivity to various stimuli such as light exposure and touch. This innovative merger points towards the future of sustainable biomaterials and the potential integration of these materials into new and existing technologies.
Visual Coding of Information for Augmented Reality Environments
Authors: Maradei Fernanda , Bautista Luis 
Published: August 2023

Abstract
Students have benefited greatly from immersive learning environments that use augmented reality. Some visual features of instructional material, such as color coding, have shown potential in improving learning performance. However, the effect in Immersive Learning Environments is still unknown in detail. The objective of this research is to know how the use of color-coded material affects the performance and mental effort of participants in Immersive Learning Environments in augmented reality. Therefore, an experimental study was executed with 29 students, in a case study for learning an arthroscopy surgical procedure, using an Immersive Learning Environment in augmented reality. The results suggested no differences in the participants' performance in terms of time and percentage of correct answers. Participants who used non-coded material, on the other hand, suggested a high level of mental effort. These results provide valuable information for the design of Immersive Learning Environments, with the purpose of creating environments under conditions that foster learning.
Simulation and optimization of the spoon-wheel type maize precision seed- metering device based on vibration
Authors: Han Dandan , Wang Qing , Li Wei , Huang Yuxia , Xu You , Tang Chao , Luo Jie 
Published: August 2023

Abstract
Due to the sticky soil and uneven terrain in southwest China, the planters will vibrate in the field, and the seed-metering device will also be vibrated up and down with them, hence increasing the leakage rate and deteriorating the plant distribution uniformity in maize. The spoon-wheel disc is the essential part of the spoon-wheel seed-metering device, and the spoon shape contributes to the device’s capacity for seed-filling, seed-cleaning, and seed-delivery. DEM simulation and optimization of the shapes and quantity of spoons under vibrational conditions are investigated in this paper. EDEM was adopted to establish DEM models of ‘Zhongyu No.3’ coated maize seeds and the spoon-wheel seed-metering device first, and four additional spoons of various shapes (labeled as K1 ~ K5, respectively) were designed based on the original spoon structure. Based on the in-field vibrational properties of the spoon-wheel planter at diverse operating speeds, a single-factor simulation test of the spoon structures under vibrational conditions was implemented with the variation of the seed acceleration inside the spoon in the Y-direction as an evaluation index. The results indicated that the acceleration of seeds in the Y-direction in spoons (K2 ~ 5) were all less fluctuating than those in the original spoon (K1), and the multiple rate was the largest in spoon (K5), implying that the seeding performance of spoons (K2 ~ 4) was relatively more favorable. According to the results of the single-factor simulation test, a 3-factor and 4-level simulation orthogonal test was conducted with the working speed, the number and shapes of spoons as testing factors, and the qualified rate, multiple rate, leakage rate, and variation coefficient as evaluation indicators. The ultimate optimal working speed of the spoon-wheel maize precision planter in southwest China was identified as 3 km/h, with 22 spoons on the spoon-wheel disc, and the ideal spoon shape being K3. The bench validation test was executed under vibrational conditions based on the optimal spoon structure and operation settings of the seed-metering device. The qualified rate of the seed-metering device exceeded 94.5% at an operating speed of 3 ~ 4 km/h, while the multiple rate was less than 4%, the leakage rate was lower than 1.5%, and the variation coefficient was smaller than 25.5%. The variety adaptability test was launched when the working speed was 3 km/h. The qualified rate of various maize varieties were all more than 96.5%, the multiple and leakage rates were both less than 2%, which satisfies the technical requirements of the maize precision sowing in southwest China.
Bionic Nanotheranostic for Multimodal Imaging-Guided NIR-II-Photothermal Therapy of Lung Cancer
Authors: Zhang Meng , Zhang Yuxuan , Hang Lifeng , Zhang Tao , Luo Chuangcai , Li Wuming , Sun Yiqiang , Wen Hua , Chen Yiyu , Jiang Guihua , Ma Xiaofen 
Published: August 2023

Abstract
In photothermal therapy (PTT), the photothermal conversion of the second near-infrared (NIR-II) window allows deeper penetration and higher laser irradiance, and is considered a promising therapeutic strategy for deep tissues. Since lung cancer remains the leading cause of cancer-related deaths worldwide, despite the numerous treatment options, we aimed to develop an improved bionic nanotheranostic for combined imaging and photothermal therapy of lung cancer. We combined gold nanobipyramid (Au NBP) as a photothermal agent and MnO2 as a magnetic-resonance enhancer to produce core/shell structures (Au@MnO2; AM) and modified their surfaces with homologous cancer-cell plasma membranes (PM) to enable tumor targeting. The performance of the resulting Au@MnO2@PM (AMP) nanotheranostic was evaluated in vitro and in vivo. AMP exhibits photothermal properties under NIR-II laser irradiation and has multimodal in-vitro imaging functions. AMP enables the computed tomography (CT), photothermal imaging (PTI), and magnetic resonance imaging (MRI) of tumors. In particular, AMP exhibited a remarkable PTT effect on cancer cells in vitro and inhibited tumor cell growth under 1064 nm laser irradiation in vivo, with no significant systemic toxicity. This study achieved tumor therapy guided by multimodal imaging, thereby demonstrating a novel strategy for the use of bionic gold nanoparticles for tumor PTT under NIR-II laser irradiation.
Analysis of the transcriptome revealed the molecular mechanisms underlying the growth of Dendrobium nobile under various epiphytic modes
Authors: Liu Chaobo , Qin Lin , Zhang Yujia , Qin Huanxin , Li Lin , Tan Daopeng , Li Qingiqng , He Yuqi , Xu Delin 
Published: August 2023

Abstract
Dendrobium nobile is a highly medicinal and ornamental orchid that is usually cultivated in various epiphytic modes. The gene expression and stem development of D. nobile can be influenced by its epiphytic modes. However, the relationship between genes and agronomic traits in this specie remains unclear. In this study, we collected two-year-old stems of D. nobile from different epiphytic modes for transcriptome sequencing. The aim of this study was to provide a theoretical basis for improving field cultivation and artificial breeding. We identified 239 common differential expression genes (cDEGs) among the different modes. These genes were mainly assigned to three pathways in KEGG analysis: MAPK signaling pathway-plant, flavonoid biosynthesis, and plant-pathogen interaction. Additionally, GO analysis revealed enrichment of some DEGs in response to chitin (13 cDEGs), salt stress (12 cDEGs), and water deprivation (10 cDEGs). Furthermore, through weighted gene co-expression network analysis, we detected 72 cDEGs that were correlated with stem length. Finally, we observed that the expression level of PR1 exist corrected with TGA2.2 and TGA1. Overall, this study identifies 72 candidate genes that may regulate the growth of D. nobile stems, providing basic evidence for designing a genetic breeding study.
Under-prescription of beta-blockers in older patients with chronic heart failure: an observational study in Vietnam
Authors: Nguyen Tan Van , Nguyen Hoa TK , Wong Wei Jin , Ahmad Fahed , Nguyen Tu 
Published: August 2023

Abstract
This study in older hospitalized patients with heart failure aimed to examine: (1) The prevalence of beta-blocker prescription and its associated factors, and (2) The association of beta-blocker prescription with adverse outcomes after discharge. A total of 190 participants were recruited (mean age 75.5,46.8% female). Of these, 55.3% were prescribed beta-blockers during admission. On multivariate logistic regression models, previous myocardial infarction (OR 3.70, 95% CI 1.13–12.10) was associated with increased likelihood of prescription, while chronic obstructive pulmonary disease (OR 0.14, 95% CI 0.03–0.69), chronic kidney disease (OR 0.31, 95% CI 0.15–0.64), and heart rate under 70 (OR 0.39, 95% CI 0.17–0.89) were associated with reduced likelihood prescription. During the 3-month follow up, 32.6% of the participants had a composite event. Beta-blocker use was associated with reduced composite outcome (adjusted OR 0.51, 95% CI 0.26–0.98), adjusting for age, sex, NYHA classes, and comorbidities. In this study, we found a low rate of beta-blocker prescription, with only around half of the participants being prescribed beta-blockers. Beta-blocker use was associated with reduced adverse events. Further studies are needed to examine the reasons for under-prescription of beta-blockers, and to evaluate the long-term benefits of beta-blockers in elderly patients with heart failure.
Placing Identity at the Center of Assessing Interprofessional Learning: Development of the Rubric InterProfessional Identity Development (RIPID)
Authors: Cantaert Gabriël Rafaël , Pype Peter , Lauwerier Emelien 
Published: August 2023

Abstract
Interprofessional education is vital in equipping students with the competencies and identity needed to become skilled collaborators and lifelong learners. However, the lack of formative assessment tools renders it difficult to scaffold the development of an interprofessional identity (IPI). Therefore, this article reports the design elements and presents the perceptions of medical students involved in the co-construction of the Rubric Interprofessional Identity Development (RIPID). Following a pragmatist approach, a multiperspective 8-step inquiry led to a manual with definitions, illustrative quotes, scoring instructions and exemplars as well as evidence supporting the validity of RIPID. The RIPID is a generic analytic rubric that can be used to assess the extent to which a learner’s IPI is developing across different contexts on the basis of a variety of assignments and by means of multisource feedback. The theoretically supported criteria account for the (meta)cognitive, emotional and social dimensions of interprofessional learning, of which the descriptors are formulated to elicit reflection. Students are convinced that the RIPID can be used for the authentic assessment of their interprofessional development, confirm its suitability for self-assessment, and see merit in the early introduction in an e-portfolio to promote self-regulated learning. Furthermore, the RIPID can be used for the meta-assessment of programs to improve constructive alignment across the curriculum. Further research is needed to empirically test and psychometrically validate the RIPID at a large scale in different health and non-health settings and to determine its use within a programmatic assessment approach to interprofessional learning.
GaN-based low-power JLDG-MOSFETs: Effects of doping and gate work function
Authors: Hasan Nayeema , Islam Md. Rafiqul , Hasan Md. Tanvir 
Published: August 2023

Abstract

This study aims to explore the potential of the GaN-based junction-less double-gate (JLDG) MOSFETs in resolving the limitations by tuning its doping profile, ND, and gate work function, Ф to realize low-power switching applications. Device figure-of-merits (FOMs) such as ION, ION/IOFF, subthreshold slope (SS), and drain-induced barrier lowering (DIBL) have been evaluated. The highest ION is 0.9 mA/µm, which resulted in ND = 1×1019 cm-3. The device behaviour is also impacted significantly by changing gate work function, Ф. The OFF-state current, IOFF of 1.24×10-16 A/µm and power dissipation of 9.69×10-17 W/µm have been found for Ф = 5.11 eV (Au). In addition, the highest ION/IOFF of 7.56×1012 indicates the GaN-based JLDG MOSFETs promising for next-generation low-power logic switching applications.
Development and Validation of an Interpretable Machine Learning Model for the Prediction of Intubation in the Intensive Care Unit
Authors: Liu Jianyuan , Duan Xiangjie , Duan Minjie , Jiang Yu , Mao Wei , Wang Lilin , Liu Gang 
Published: August 2023

Abstract
Background
Since there is a limited ability to identify the need for intubation in the ICU, the objective of this study was to develop and validate an interpretable machine learning (ML) model to predict the need for intubation in ICU patients.
Methods
Seven widely used ML algorithms were applied to develop and validate prediction models. Adult patients from the Medical Information Mart for Intensive Care IV database who stayed in the ICU for longer than 24 hours were involved in developing the model. The model was then externally validated in the eICU-CRD database. In addition, the SHapley Additive exPlanations (SHAP) method was employed to illustrate the effects of the individual features attributed to the prediction model.
Results
A total of 11988 patients were included in the final cohort for this study. Among the seven constructed models, the CatBoost model achieved the best performance (AUC: 0.863). In the external validation, the efficacy of our model was also observed (AUC: 0.722). The Glasgow Coma Scale (GCS), body mass index (BMI), arterial partial pressure of oxygen (PaO2) and respiratory rate (RR) were the top 4 features of the CatBoost model with the greatest impact.
Conclusions
We have demonstrated the potential of machine-learning approaches for predicting the need for intubation in ICU patients. The SHAP method could improve the interpretability of machine-learning models and help clinicians better understand the reasoning behind the outcome.
Trial registration:
Not applicable.