bluuebunny/crossref_metadata_2025_split huggingface dataset:
Training for coordinating professionals as part of Dutch integrated care for childhood overweight and obesity – a mixed-methods evaluation
Authors: Koetsier MSc Leandra , Boutalab MSc Lamyae , Seidell Prof. dr. ir. J.C. , Baan Prof. dr. C.A. , Halberstadt Jutka 
Published: July 2022

Abstract
IntroductionHealthcare professionals (HCPs) play an important role in childhood overweight and obesity care, yet they often feel ill-equipped to manage this complex and sensitive health problem. As part of Dutch integrated care for childhood overweight and obesity, a training for coordinating professionals (CPs) was designed and carried out. This study evaluates the training based on the four levels of Kirkpatrick’s model of training evaluation: (1) reaction, (2) learning, (3) behaviour, and (4) results.MethodEleven CPs who completed the training participated in this mixed-methods study. First, completed questionnaires on the four levels were analysed with Qualtrics. Next, the transcripts of semi-structured interviews on levels 1, 3 and 4 were analysed in MAXQDA using thematic analysis. ResultsOn level 1, participants were satisfied with the training as it stimulated their professional and personal development, for instance awareness of prejudices about people with overweight and obesity. Barriers, improvements and needs from the training varied between participants based on their background. On level 2, CPs improved knowledge about integrated care and its practice, skills for providing overweight and obesity care, coaching attitudes, and trust and commitment towards local integrated care. On level 3, the extent to which the learnings were practised depended on the experience and local context of the CP. Last, on level 4 CPs mentioned noticing post-training practical results for themselves, the child and the family, integrated care partners, and the participants’ organisation.Conclusion This study evaluated a training for CPs for the support and care they provide to children with overweight and obesity and their families as part of Dutch integrated care. The training contributed to improve knowledge, skills and attitudes of CPs. This study recommends sufficient implementation of local integrated care to optimally practise what was learned. More on-time evaluations of the training and taking the perspective of the organisation into account is needed. This would improve the training and give CPs confidence to adequately provide support and care to children with overweight and obesity and their families.
Endurance training and MitoQ supplementation increases PERM1 and SMYD1 gene expression and improves hemodynamic parameters in cardiac muscle of male Wistar rats
Authors: Tezarji Mahboube Salajeghe , Moflehi Darioush , Nikooie Rohollah , Aminizadeh Soheil 
Published: July 2022

Abstract
The histone methyltransferase (SMYD1) and the muscle-specific protein (PERM1) play an important role in maintaining cardiac energetics and function. The present study aimed to examine the effect of two types of endurance training (running and swimming) plus MitoQ supplementation on gene expression of PERM1 and SMYD1 plus hemodynamic parameters in the cardiac muscle of male Wistar rats. The animals underwent MitoQ supplementation or endurance training or endurance training + MitoQ supplementation for eight weeks. Gene expression of PERM1 and SMYD1, measured by Real Time-PCR and quantified by 2−∆∆CT method, and hemodynamic parameters were compared between groups using two-way multivariate analysis of variance. Cardiac gene expression of PERM1 and SMYD1 increased significantly through running (PERM1, P < 0.05; SMYD1, P < 0.01), swimming (PERM1, P < 0.05; SMYD1, P < 0.05). and MitoQ supplementation (PERM1, P < 0.001). The effects of MitoQ supplementation were additive to both running and swimming effects on cardiac gene expression of (PERM1, P < 0.001; SMYD1, P < 0.05). Swimming-induced enhancement in cardiac expression of PERM1 and SMYD1 was associated with a significant increase in ± dP/dt max (P < 0.05)). In conclusion, expression of genes involved in cardiac metabolism can be affected by endurance training and this effect could be improved through MitoQ supplementation.
Reduction of posterior dislocated hip prosthesis using a modified lateral position maneuver: a retrospective, clinical comparative, and follow-up study
Authors: Wang Gang , Wang Haoyang , Yang Jing , Shen Bin , Zhou Zongke , Zeng Yi 
Published: July 2022

Abstract
Background
Posterior dislocation (PD) is a common complication after total hip arthroplasty (THA), and the Allis maneuver is the most widely used method for reduction. However, this classic maneuver has some disadvantages. The aim of the present study was to investigate whether a modified lateral position (MLP) reduction maneuver provides an easier and safer method for PD reduction than the Allis maneuver.
Methods
Between August 2019 and September 2021, a series of 88 consecutive PD patients who underwent THA were retrospectively evaluated. The patients were divided into the MLP reduction group and Allis reduction group according to the electronic health medical record. The success rate of closed reduction, Harris hip score (HHS), and radiographic outcomes were determined. Satisfaction scores, doctor safety events and complications were also determined and compared between the groups. The mean follow-up period was 1.66 ± 0.88 years.
Results
The MLP group had a significantly higher success rate of closed reduction than the Allis group. Periprosthetic fracture and implant loosening were retrospectively identified in 2 hips and 1 hip, which all occurred in the Allis group. The satisfaction scores in the MLP group were significantly higher than those in the Allis group. Four adverse events were reported in the Allis group, compared with 0 in the MLP group.
Conclusions
For PD after THA, the MLP reduction maneuver can effectively increase the reduction success rate, satisfaction, and doctor safety without increasing the risk of complications compared with the traditional Allis supine reduction maneuver.
Trial registration:
This study was registered in the Chinese Clinical Trial Registry(ChiCTR2100054562) in December 19th 2021.
The association of serum total bile acid with new-onset hypertension during pregnancy
Authors: Deng Weinan , Zhang Lizi , Du Qiting , Li Yulian , Chen Jingsi , Du Lili , Chen Dunjin 
Published: July 2022

Abstract
Background: There has been considerable interest in the interrelationship between the liver and hypertension. The relationship between serum total bile acid (TBA) and hypertension has been reported. Moreover, intrahepatic cholestasis of pregnancy was correlated to gestation hypertension. However, the association between maternal serum TBA level in the normal range and new-onset hypertension disorders during pregnancy remains unclear. To evaluate the relationship between maternal serum TBA level in the normal range and the risk, disease severity and adverse pregnancy outcomes of new-onset hypertension during pregnancy.Method: Using the electronic medical records on all pregnant women from the Department of Obstetrics and Gynecology, Third Affiliated Hospital of Guangzhou Medical University, between 2014 and 2020, we conducted a retrospective cohort study of 2581 singleton pregnant women with maternal serum TBA levels in the normal range. Patients were grouped into the non-hypertension during pregnancy (1071), gestational hypertension (480) and preeclampsia (1030) groups. Result: We found that maternal serum TBA levels were significantly higher in the preeclampsia and gestational hypertension groups than in the non-hypertension group (p<0.01). Multiple logistic regression analysis showed that TBA level was independently and significantly associated with preeclampsia and gestational hypertension (odds ratio: 1.37, 95% confidence interval [CI]: 1.27-1.48, p=0.001, odds ratio: 1.34, 95% confidence interval [CI]: 1.24-1.46, p=0.005, respectively). Moreover, elevated TBA level was positively associated with the risk of severe PE and negatively with mild PE (p<0.01). In addition, maternal serum TBA levels were negatively related to birth weight (p < 0.001).Conclusions: These results suggest that maternal serum TBA in the normal range also might be a valuable biomarker for disease severity in preeclampsia and gestational hypertension. Additionally, our results also indicate associations of serum total bile acid levels in the normal range with an increased risk of intrauterine growth restriction and low birth weight among offspring. These results suggest that TBA could serve as a prognostic biomarker for new-onset hypertension during pregnancy.
Sevoflurane Exposure Induces Neuronal Injury and Disturbs Myelin development During the Susceptible Phase in Neonatal Mice
Authors: Fu Ningning , Wang Yangyang , Zhu Ruilou , Li Ningning , Zeng Shuang , Miao Mengrong , Yang Yitian , Sun Mingyang , Zhang Jiaqiang 
Published: July 2022

Abstract
Sevoflurane is one of the most commonly used general anesthetics for infants and young children, and previous basic research has reported that multiple or prolonged exposures with sevoflurane may affect brain development in infants and young children. However, the specific mechanism has not been well studied. We investigated whether sevoflurane would cause impaired myelin development and neuronal damage via the γ-aminobutyric acid A receptors (GABAAR) and Na+-K+-2Cl− cotransporter (NKCC1). On postnatal days 5–7, mice were each exposed to 3% sevoflurane for 2 h. Administration of the GABAAR inhibitor bicuculline and the NKCC1 inhibitor bumetanide was performed 1 h before sevoflurane treatment. On postnatal day 14, we observed that multiple sevoflurane exposures resulted in decreased levels of neurofilament protein expression and increased neuronal apoptosis. The levels of myelin-associated protein and oligodendrocyte marker were significantly reduced. At the same time myelin thickness becomes thinner. Further studies showed that bicuculline and bumetanide enhanced remyelination by inhibiting GABAAR and NKCC1 and the number of apoptotic neurons was significantly reduced. Taken together, our results indicate that sevoflurane enhances GABAAR/NKCC1 signaling, leading to neuronal damage, disturbs myelin development, and a decrease in the amount of BDNF expressed.
Classification by Column and Type of the Generalized Distal Radius Die-Punch Fractures
Authors: Zhao Kai , Yin Qudong , Rui Yongjun , Tang Wen , Gu Sanjun , Zhang Zhihai 
Published: July 2022

Abstract
Background:  There was no three-column classification for generalized distal radius die-punch fractures (GDP) which can involve three-columns. The aim of this study was to investigate the classification by three-column and type of GDP. Methods：613 patients with GDP accrued from January 2013 to December 2021 were classified by column and fracture type. First, the GDP were separated into single-, double-, or three-column fractures. Second, the intermediate column fractures were categorized into volar, dorsal, split, collapse or mixed type, the radial column fractures were categorized into metaphyseal, articular or mixed type, and the ulnar column fractures were categorized into styloid process or metaphyseal type. Observing the classification results. The intra‑ and inter‑observer consistency between two assessors was analyzed with kappa statistics.Results：There were significant differences in the incidence (12.7%, 68.5% and 18.8%, respectively) and age (39.8, 46.6 and 47.1 years, respectively) for single-, double- and three-column fractures but no significant difference in terms of gender among the three (P>0.05). The mixed, collapse, split, dorsal and volar types were 28.7%, 27.7%,21.9%, 15.5% and 4.5%, respectively. The metaphyseal, articular surface and mixed types were 35.9%, 33.1% and 31.0%, respectively. The styloid process and metaphyseal types were 81.7% and 18.3%, respectively. Among the cases of volar and dorsal types, the missed diagnosis rate of X-ray was 28.5%. To the last follow-up of 12.2 months (range, 6 to 24 months), the wrist function was evaluated according to the Sarmiento modified Gartland-Werley method, the excellent plus good rate of the single column fractures was 96.2%, significantly higher than that of double- and three- column fractures (80.0% and 83.5%, respectively) (P<0.05). All patients that had poor wrist function were collapse or mixed type intermediate column fractures. The intra‑observer kappa coefficient was between 0.810 and 0.861 and the inter‑observer kappa coefficient was between 0.830 and 0.876.Conclusion：Different types of GDP have significant differences in terms of injury mechanism, incidence, age and prognosis. Classification by column and type of GDP reflects the features and has important reference value for clinical diagnosis and treatment.
Classical-Quantum Hybrid Transfer Learning for COVID-19 Classification
Authors: Zhao Haorong , Deng Xing , Patrick Zhai , Jiang Yingtao , Shao Haijian 
Published: July 2022

Abstract
The coronavirus has been affecting people's everyday life since 2019. To stop the further spread of the virus, early detection of carriers of the virus and isolation are needed. Due to the limitations of nuclear accounting amplification assay (NAAT), CT imaging, which has the high sensitivity to the new corona virus, is used as a diagnostic method. In this study, a classical-quantum hybrid model using a variational quantum circuit as a classifier was designed. A pre-trained VGG16 was used for feature extraction, and the extracted features were passed to a variational quantum classifier for classification. Experiments show that using variational quantum circuits to linearly vary the classical data can improve the accuracy of the model prediction. Hybrid Model achieves good results with values of 98.78%, 97.65%, 100.00%, and 98.81% for Accuracy, Precision, Recall, and F1-score metrics, respectively. The comparison between Hybrid Model and the classical model shows that the overall performance of Hybrid Model is better than that of the classical model. Hybrid Model provides a reliable, flexible and scalable classical-quantum deep learning approach for the prediction task of COVID-19.
Method for site selection of relief supply warehouses in earthquakes with Ms≥7– A case study of western Yunnan, China
Authors: Ju Xing , Fan Yunxiao , Li Tianqi , Niu Yi , Liang Hongkun , Wang Ying , Hao Chenyu , Jiao Liguo , Xu Xi 
Published: July 2022

Abstract
Relief supply warehouses provide necessities of life for victims in disaster relief. The science behind site selection for large relief supply warehouses determines whether victims in earthquakes with Ms ≥ 7 can receive timely and effective relief. This study proposed a method of site selection for relief supply warehouses based on the prediction of earthquake disasters and the quantification of site selection criteria. This method considered four factors, i.e., the prediction of earthquake-prone areas, the identification of building distribution, the mode of post-earthquake transport of relief supplies, and the construction standards of relief supply warehouses. Taking western Yunnan Province for a case study, this study first identified seven disaster-affected areas, then determined the helicopter's most extensive safe flight range in post-earthquake transport of relief supplies. Next, it quantified and classified the site selection criteria of relief supply warehouses in China and selected the top ten candidate sites meeting the necessary conditions. Finally, it obtained the ideal site using reference conditions.
A Simulation Study of Quantum Dot Solar Cells Using Two Distinct ETL of WO3 and WS2
Authors: Naureen  , Sadanand  , Rai Shambhavi , Yadav R. K. , Lohia Pooja , Dwivedi Prof. D. K. 
Published: July 2022

Abstract
Quantum dot solar cells (QDSCs) have recently attracted a lot of interest since the materials used in them are eco-friendly, good light harvesters, and cheap. Solar Cell Capacitance Simulator-1 dimensional software (SCAPS-1D) is used to carry out this numerical analysis. In the present work, the optimization of two different device architectures is investigated having WO3 and WS2 two different electron transport layer(ETL). In the proposed device structure, Sb2Se3 is used as an absorber layer and PbS is used as HTL and CdS is used as a buffer layer. The main objective of this effort is to determine how changing from the WO3 ETL to the WS2 ETL affects the photovoltaic parameters. Initially, the solar photovoltaic device is optimized, and then the effect of doping concentrations is investigated. In addition, the effect of series and shunt resistance on the solar device’s performance is examined to illustrate the impact of series and shunt resistance on the device's performance. The effect of increasing temperature on the PV parameters is also studied and it is observed that the solar device is temperature-sensitive. Finally, the optimized performance with WS2 ETL with PCE of 20.60% is achieved.
Evaluation of Nanoparticle Tracking Analysis (NTA) for the Measurement of Nanoplastics in Drinking Water
Authors: Peters Ruud J.B. , Relou Emma , Sijtsma Eelco L.E. , Undas Anna K. 
Published: July 2022

Abstract
In the last few years, microplastics have been detected in fresh- and seawater, atmosphere, sediments, soils, sewage sludge, biota and food. However, these microplastics can degrade to even smaller plastic particles in the sub-micron range, the nanoplastics. Only a few studies so far confirmed the presence of NP in environmental samples and their release during the use of personal care products, the boiling of plastic teabags and the use of plastic infant bottles. Due to their smaller dimensions and colloidal properties, nanoplastics could pose an increased hazard to the environment, biota and humans. While there are methods for detecting microplastics, the reliable detection and quantification of size and particle number concentrations of plastic particles less than a micrometre in size are still difficult. In this study, the performance characteristics of nanoparticle tracking analysis (NTA) for detecting nanoplastics using an NS300 instrument were determined after optimisation. The NS300 proved to be accurate and precise for a 102 nm Nanospheres suspension, showing favourable results for accuracy, repeatability and reproducibility at high and low particle number concentrations. While the concentration range was linear from 5.0x106 to 2.0x109 particles/mL, the particle size range of the NS300 instrument was linear from 46 to >350 nm. From the measurements of mixtures of particles, it is clear that NTA has difficulties with polydisperse mixtures resulting in an underestimation of the smaller particle sizes. Finally, eight brands of bottled mineral water were analysed. The particle number concentrations ranged from 1.0x106 to 2.2x107 particles/mL, with mean particle sizes in the range of 110 to 170 nm and mode particle sizes <100 nm for all samples. Particle size distributions showed a particle size range of 50 to 500 nm.
Study of the Modeling of a Photonic Crystal Structure using COMSOL for the Design of a Temperature Sensor
Authors: Ghoumazi Mehdi 
Published: July 2022

Abstract
in this paper, we present a design of a two-dimensional photonic crystal-based temperature sensor (PhCs_2D). It is designed to detect temperature based on the effective modulation of the refractive index of silicon (n_Si). This temperature is monitored by the sensor for values ranging from T = 0°C to °T = 68°C. To analyze the detection principle, this two-dimensional square lattice structure is based on a Photonic Crystal Ring Resonator with a Swiss Cross in the middle (PCRR). The resonator is wedged between two parallel waveguides in a square lattice based on silicon rods immersed in the air, hence the refractive index equal to 3.46. This resonator has been studied as a promising solution due to the deformation, the extreme sensitivity as well as the variation of the position of the rods or cavities within the PhC resonators. It plays a relevant role in the detection of different temperature levels (T) over a wide dynamic range. We investigate the propagation and transmission of this structure that opens an optical channel drop filter (CDF) and the study is extended for tuning the channel filter (CDF) wavelength with temperature. The band diagram is analyzed and the transmission characteristics are obtained using plane wave expansion (PWE) and finite element method (F.E.M) respectively. This method evaluates the functional parameters of the sensor such as: resonance wavelength (λ_res), quality factor (Q), dynamic range, transmission efficiency and sensitivity (S). Our results show a resonance wavelength shift of the PCRR that increases linearly with increasing temperature. In this work, shift is used for sensor application. By F.E.M simulation under COMSOL software, we were able to obtain a resonance wavelength at 1640nm, a quality factor at 410 and a sensitivity of 370.6 pm/℃. The exceptional sensing capability makes PhC resonators a promising opto-mechanical sensing element to be integrated into various transducers for temperature sensing applications.
Mental health and psychosocial status in mothers of children with Attention Deficit Hyperactivity Disorder (ADHD): differences by maternal ADHD tendencies
Authors: Marumoto Tatsuro , Monma Takafumi , Sawae Yukinori , Takeda Fumi 
Published: July 2022

Abstract
This study aimed to clarify differences in mental health, psychosocial status, and mental health-related factors among mothers of ADHD children between those with and without ADHD tendencies of their own. The data from 149 mothers of children with ADHD, collected through an online survey, were analyzed. Mothers with ADHD tendencies had poorer mental health, more ADHD children, and felt a lack of understanding of their surroundings than mothers without ADHD tendencies. There were differences in mental health-related factors depending on the mother's ADHD tendencies. Therefore, individualized interventions based on the presence or absence of the mother's ADHD tendencies may be important to maintain mental health in mothers of ADHD children.
Plantorgan hunter: a deep learning-based framework for quantitative profiling plant subcellular morphology
Authors: Feng Xuping , Yu Zeyu , Fang Hui , Jiang Hangjin , Yang Guofeng , Chen Liting , Zhou Xinran , Hu Bing , Qin Chun , Hu Gang , Xing Guipei , Zhao Boxi , Shi Yongqiang , He Yong , Liu Feng , Liu Feng , Han Bo 
Published: July 2022

Abstract
Accurate delineation of plant cell organelles from electron microscope images is essential to understand subcellular behaviors and functions. Here, we develop a deep learning pipeline, organelle segmentation network (OrgSegNet) for pixel-wise segmentation to identify chloroplasts, mitochondria, nuclei, and vacuoles. OrgSegNet was evaluated on a large manually-annotated dataset of 6371 organelles collected from 13 plant species, and achieved a state-of-the-art segmentation performance of these organelles. To generalize the morphological characteristics of plant organelles, we defined three morphological metrics (shape-complexity, electron-density, and area), and released an open-source web tool “Plantorgan Hunter” allowing quantitative profiling of subcellular morphology. The functionalities of Plantorgan Hunter can be easily operated, and we believe that it will increase the efficiency and productivity of plant subcellular morphological characteristics for the plant science community.