bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy of a breastfeeding support education program for nurses and midwives: a randomized controlled trial
Authors: Sato Izumi , Imura Masumi , Kawasaki Yohei 
Published: December 2022

Abstract
Background
Nutritional support influences the growth and development of late preterm infants (LPIs) and their long-term health status. However, healthy LPIs have a shorter hospital stay and may not receive adequate care after discharge. In this study, we developed and evaluated the effectiveness of an educational program for nurses and midwives to enable them to support breastfeeding of healthy LPIs.

Methods
A randomized controlled trial was conducted in Japan from July 2018 to April 2019. The participant pool consisted of nurses and midwives working at midwiferies and obstetric centers in Tokyo, Japan. A total of 395 candidates were recruited for participation across 79 facilities. The final participants were assigned to two groups: the breastfeeding support for LPIs program (BSLPI group; n = 36) or the non-technical skills program (NTS group; n = 33). The measures included the Self-Efficacy of Breastfeeding Support scale (SBS), the Social Skills in Nursing Interactions with Mothers (SS) scale, and the Knowledge and Skills Necessary for Breastfeeding Support for LPIs test (K-S). Scores for each measure were collected before, after, and one-month after the intervention. Repeated-measures ANOVA was used to identify differences (main effects) according to program (BSLPI and NTS) and time (before, immediately after, and one month after intervention).

Results
All 69 participants attended the program. Main effects of the program were observed only for K-S scores (F[1,58] = 78.57, p = 0.01). No significant differences were found for SBS (F[1,58] = 0.63, p = 0.43) or SS scores (F[1,58] = 1.51, p = 0.23).

Conclusions
Participation in the BSLPI was related to improved breastfeeding support knowledge and skills but was not related to improvements in nurses’ self-efficacy or social skills.

Trial registration
Registered 12 December 2018, https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000040145 (UMIN: UMIN000035227).
Identification of a novel WAS mutation and the non-splicing effect of a second-site mutation in a Chinese pedigree with Wiskott–Aldrich syndrome
Authors: Ji Xin , Hou Xuening , Guo Xin , Sun Yifeng , Ma Futian , Hao Jihong 
Published: December 2022

AbstractBackgroundWiskott–Aldrich syndrome (WAS) is a rare X-linked immunodeficiency disorder caused by abnormal expression of the WAS protein (WASp) due to mutations in theWASgene, and is generally characterized by microthrombocytopenia, eczema, recurrent infections, and high susceptibility to autoimmune complications and hematological malignancies.ResultsHerein, we identified a novelWASmutation (c.158 T > C) using next-generation sequencing in a Chinese pedigree with WAS. The expression of WASp in the patients and their families was detected by flow cytometry and western blot analysis. To explore the exon-splicing effect of intron mutations and the correlation between the genotype and clinical phenotype, four groups of wild-type (WT), exon mutant, intron mutant, and combined mutant recombinant plasmids were transfected into COS-7 cells in vitro. The proband showed dramatically decreased WASp expression, while the female carriers showed a slightly lower level of WASp. The expression of products in the mutant and WT recombinant plasmids was detected by real-time fluorescence quantitative polymerase chain reaction (PCR), which showed a significant reduction in the combined mutant group than in the WT, exon mutant, and intron mutant groups. The length of the expression products in the four groups showed no differences, each containing 360 base pairs. Sequence analysis confirmed that the c.158 T > C mutation appeared in the exon mutant and combined mutant groups, whereas the intron variant c.273 + 14C > T caused no other sequence changes.ConclusionThis study confirmed that the intron mutation did not affect the splicing of exons and excluded the influence of the double mutations at the transcription level on the severe clinical manifestations in the cousin. This in vitro study provided new insights into the pathogenesis of intronic mutations in WAS.
Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment
Authors: Kang Boxi , Camps Jordi , Fan Biao , Jiang Hongpeng , Ibrahim Mahmoud M. , Hu Xueda , Qin Shishang , Kirchhoff Dennis , Chiang Derek Y. , Wang Shan , Ye Yingjiang , Shen Zhanlong , Bu Zhaode , Zhang Zemin , Roider Helge G. 
Published: December 2022

AbstractBackgroundThe tumor microenvironment (TME) has been shown to strongly influence treatment outcome for cancer patients in various indications and to influence the overall survival. However, the cells forming the TME in gastric cancer have not been extensively characterized.ResultsWe combine bulk and single-cell RNA sequencing from tumors and matched normal tissue of 24 treatment-naïve GC patients to better understand which cell types and transcriptional programs are associated with malignant transformation of the stomach. Clustering 96,623 cells of non-epithelial origin reveals 81 well-defined TME cell types. We find that activated fibroblasts and endothelial cells are most prominently overrepresented in tumors. Intercellular network reconstruction and survival analysis of an independent cohort imply the importance of these cell types together with immunosuppressive myeloid cell subsets and regulatory T cells in establishing an immunosuppressive microenvironment that correlates with worsened prognosis and lack of response in anti-PD1-treated patients. In contrast, we find a subset of IFNγ activated T cells and HLA-II expressing macrophages that are linked to treatment response and increased overall survival.ConclusionsOur gastric cancer single-cell TME compendium together with the matched bulk transcriptome data provides a unique resource for the identification of new potential biomarkers for patient stratification. This study helps further to elucidate the mechanism of gastric cancer and provides insights for therapy.
The advantages and challenges of non-invasive towed PILOT tags for free-ranging deep-diving megafauna
Authors: Fontes J. , Macena B. , Solleliet-Ferreira S. , Buyle F. , Magalhães R. , Bartolomeu T. , Liebsch N. , Meyer C. , Afonso P. 
Published: December 2022

Abstract
Background
Biologging technologies have yielded new insights into the ecology and behaviour of elasmobranchs, but to date, most studies involve animal capture and restraint to attach tags. Capturing animals usually results in a period of atypical behaviour after release and is undesirable or simply not possible for large and vulnerable elasmobranchs such as mobulas and whale sharks. To avoid animal capture and restraint, we developed and tested two non-invasive multisensor towed tags. The use of towed packages creates additional data analytical challenges relative to fixed packages because towed devices wobble independently of animal movements. We present five examples, two mobulas (reef manta and sicklefin devil ray) and three sharks (blue, tiger and whale shark), to illustrate the advantages and challenges of this approach. We used animal-borne video to validate behavioural data derived from accelerometers and conducted an experiment to compare accelerometer data from attached and towed tags simultaneously deployed on a shark.

Results
We used fluid dynamic models to calculate the added drag of towed devices on target species. We found that drag impact is acceptable for short-term tagging of large mobulas, but the drag penalty associated with the current camera tag design is greater than 5% for most mature blue sharks. Despite wobble effects, swimming behaviour (tail-beat and wing-stroke frequency) captured by towed accelerometers was consistent with those attached directly to the animal and with data from animal-borne video. Global Positioning System (GPS) sensors recorded up to 28 and 9 geolocations per hour of surface swimming by sicklefin devil ray and blue sharks, respectively.

Conclusions
Towed tags with non-invasive attachments provide an effective alternative for acquiring high-resolution behaviour and environmental data without capturing and handling animals. This tool yields great potential to advance current knowledge of mobula ecology and behaviour without capture or invasive tagging.
Anomaly detection and community detection in networks
Authors: Safdari Hadiseh , De Bacco Caterina 
Published: December 2022

AbstractAnomaly detection is a relevant problem in the area of data analysis. In networked systems, where individual entities interact in pairs, anomalies are observed when pattern of interactions deviates from patterns considered regular. Properly defining what regular patterns entail relies on developing expressive models for describing the observed interactions. It is crucial to address anomaly detection in networks. Among the many well-known models for networks, latent variable models—a class of probabilistic models—offer promising tools to capture the intrinsic features of the data. In this work, we propose a probabilistic generative approach that incorporates domain knowledge, i.e., community membership, as a fundamental model for regular behavior, and thus flags potential anomalies deviating from this pattern. In fact, community membership serves as the building block of a null model to identify the regular interaction patterns. The structural information is included in the model through latent variables for community membership and anomaly parameter. The algorithm aims at inferring these latent parameters and then output the labels identifying anomalies on the network edges.
A systematic review of high impact empirical studies in STEM education
Authors: Li Yeping , Xiao Yu , Wang Ke , Zhang Nan , Pang Yali , Wang Ruilin , Qi Chunxia , Yuan Zhiqiang , Xu Jianxing , Nite Sandra B. , Star Jon R. 
Published: December 2022

AbstractThe formation of an academic field is evidenced by many factors, including the growth of relevant research articles and the increasing impact of highly cited publications. Building upon recent scoping reviews of journal publications in STEM education, this study aimed to provide a systematic review of high impact empirical studies in STEM education to gain insights into the development of STEM education research paradigms. Through a search of the Web of Science core database, we identified the top 100 most-cited empirical studies focusing on STEM education that were published in journals from 2000 to 2021 and examined them in terms of various aspects, including the journals where they were published, disciplinary content coverage, research topics and methods, and authorship’s nationality/region and profession. The results show that STEM education continues to gain more exposure and varied disciplinary content with an increasing number of high impact empirical studies published in journals in various STEM disciplines. High impact research articles were mainly authored by researchers in the West, especially the United States, and indicate possible “hot” topics within the broader field of STEM education. Our analysis also revealed the increased participation and contributions from researchers in diverse fields who are working to formulate research agendas in STEM education and the nature of STEM education scholarship.
Effect of compaction condition on the water retention capacity, microstructure and its evolution during drying of compacted loess
Authors: Xiao Tao , Li Ping , Pan Zhenhui , Wang Jiading 
Published: December 2022

AbstractTo investigate the initial microstructure and water retention capacity of compacted loess molded under different compaction energy, the soil–water characteristic curves (SWCCs) and pore-size distribution curves (PSDs) of compacted loess specimens with different molding water contents or compaction energies were determined. Moreover, the PSDs of compacted loess specimens dried to different suctions were measured and the fractal dimensions of these specimens were examined to explore the microstructural evolution of compacted loess during drying. The results show that molding water content mainly affects the densities of macropores and mesopores, and compaction energy only affects the density of macropores. As the molding water content range of 16% to 20%, the AEV decreases with the increase of molding water content. The specimen with a lower molding water content has a larger slope of SWCC (or desorption rate). Compaction energy influences the water retention capacity of compacted loess in the low suction range (< 30 kPa). In response to suction increase, the PSD of compacted loess changes a little, while the fractal dimension increases with suction and there is a good linear relationship between them, indicating that the roughness of the pore surfaces is increasing during drying. This study provides new insight into the relationship between water retention capacity and pore structure of compacted loess and the microstructural evolution of compacted loess during drying, which is meaningful to the prevention of loess geological hazards.
Self-curling 3D oriented scaffolds from fish scales for skeletal muscle regeneration
Authors: Shi Yong , Zhang Xiaoxuan , Liu Rui , Shao Xiaoyan , Zhao Yuanjin , Gu Zhuxiao , Jiang Qing 
Published: December 2022

Abstract

Background
Volumetric muscle loss (VML) due to various reasons may cause motor dysfunction and tissue engineering has been proposed for muscle regeneration. However, developing three-dimensional (3D) tissue-engineered scaffolds that can mimic oriented cell growth of muscle tissues are challenging for regeneration medicine. Herein, we propose a novel self-curling 3D oriented scaffold (SCOS) composed of fish derived gelatin methacrylate (GelMA) and fish scales for repairing skeletal muscles.

Methods
Fish scales of tilapia were decellularized and decalcified. Then, SCOSs were constructed by ultraviolet-coating methylated fish gelatin on the back of fish scales. C2C12 myoblasts were cultured on SCOSs, and after induction of myogenic differentiation, SCOS/C2C12 transplants were prepared for in vivo experiments.

Results
Decellularized and decalcified fish scales (DDFSs) became soft and retained the original oriented microgroove surface structure that could induce oriented cell growth. SCOSs could self-curl into 3D structures when immersing in culture medium due to different swelling properties of fish GelMA and DDFSs. Cell experiments demonstrated that SCOSs enhanced the oriented growth and myogenic differentiation of C2C12 myoblasts. By integrating SCOSs and myogenic differentiated C2C12 myoblasts, the resultant SCOS/C2C12 transplants promoted de novo muscle regeneration and functional restoration of muscle activity in the mouse model of VML.

Conclusions
Our results suggest that SCOSs loaded with myogenic differentiated C2C12 myoblasts can promote muscle regeneration in mice with skeletal muscle injuries, indicating application prospects of such scaffolds in muscle tissue engineering and other related fields.
A denoising-classification neural network for power transformer protection
Authors: Li Zongbo , Jiao Zaibin , He Anyang , Xu Nuo 
Published: December 2022

AbstractArtificial intelligence (AI) can potentially improve the reliability of transformer protection by fusing multiple features. However, owing to the data scarcity of inrush current and internal fault, the existing methods face the problem of poor generalizability. In this paper, a denoising-classification neural network (DCNN) is proposed, one which integrates a convolutional auto-encoder (CAE) and a convolutional neural network (CNN), and is used to develop a reliable transformer protection scheme by identifying the exciting voltage-differential current curve (VICur). In the DCNN, CAE shares its encoder part with the CNN, where the CNN combines the encoder and a classifier. Based on the interaction of the CAE reconstruction process and the CNN classification process, the CAE regards the saturated features of the VICur as noise and removes them accurately. Consequently, it guides CNN to focus on the unsaturated features of the VICur. The unsaturated part of the VICur approximates an ellipse, and this significantly differentiates between a healthy and faulty transformer. Therefore, the unsaturated features extracted by the CNN help to decrease the data ergodicity requirement of AI and improve the generalizability. Finally, a CNN which is trained well by the DCNN is used to develop a protection scheme. PSCAD simulations and dynamic model experiments verify its superior performance.
Differences in health-related quality of life between the Roma community and the general population in Romania
Authors: Robinson Tomos , Oluboyede Yemi , Vale Luke , Olariu Elena 
Published: December 2022

Abstract
Background
Previous research has shown that Roma people report worse health outcomes than the general population and suffer from a myriad of economic and social disadvantages. The objective of this study was to assess the differences in the health-related quality of life (HRQoL) between the Roma people and the Romanian general population.

Methods
Two cross-sectional surveys were conducted face-to-face in 2018 and 2019 in two nationally representative samples of both the general population and Roma communities, recruited from all regions of Romania. Both samples completed the EQ-5D-5L and EQ-VAS questionnaires, as well as a range of sociodemographic questions. Coarsened Exact Matching and several different regression models were used to assess the differences in HRQoL between the two groups.

Results
2308 respondents were included in the matched sample: 1,621 general population individuals; 687 Roma people. Roma people had more problems with self-care, pain/discomfort, and anxiety/depression than the general population. They also reported a lower overall level of HRQoL than the general population of Romania, as reflected by the lower EQ-5D-5L and EQ-VAS scores. Our sensitivity analysis between Coarsened Exact Matching and other matching procedures showed consistent results across all regression models.

Conclusions
In Romania, the Roma community has a lower level of HRQoL than the general population. Understanding the underlying causes of this inequality should be the focus of future research. Policies aimed at reducing the level of health inequality between the Roma and the general populations should be promoted locally.
Embryogenesis and early larval development in bocachico (Prochilodus magdalenae) in Colombia
Authors: Yepes-Blandón Jonny Andrés , Vásquez-Machado Gersson , Ávila-Coy Jersson , Ortiz-Acevedo Yanan , Estrada-Posada Ana 
Published: December 2022

Abstract
Background
The bocachico (Prochilodus magdalenae) is a migratory freshwater fish and one of the main species of Colombian continental fishery. Interest in it is due to the fish’s excellent reproductive characteristics and sociocultural value in its native region. As part of native fish species repopulation programs carried out by the GIPEN research group of the San Silvestre fish farm and ISAGEN, the present study aimed to characterize the embryogenesis and early larval development of bocachico from zygote phase to the exogenous feeding period, using morphological and histological landmarks.

Results
Embryos were obtained by fertilization from hormonally induced, wild-caught brood stock, and subsequent development was monitored at temperatures coinciding with native conditions. Embryonic development from fertilization to hatch lasted 13 h. This included the following stages: zygote, cleavage, blastula, gastrula, segmentation and organogenesis, pharyngula and hatching. Larvae emerged with unpigmented eyes; the cephalic area and the eye primordium were more developed at 1 day post-hatching. At 2–3 days post-hatching, the somites formed myotomes and pharyngeal arches were present as well as an undifferentiated digestive tract (endogenous feeding period). At 3–4 days post-hatching, the mouth was open, and the oral valve was developed; the mouth was continuous with the esophagus and the rest of the digestive system (beginning of the endo–exogenous feeding period). The yolk was observed for up to 9 days post-hatching (end of the endo–exogenous feeding period and beginning of the exogenous feeding period).

Conclusion
To the best of our knowledge, this is the most comprehensive analysis made of the development of the bocachico to date, from early embryonic development to the larval phase, and this research will contribute to improving the knowledge of the developmental intervals of this species, the critical stages in feeding phases, as well as a more concrete approximation of when the fish is suitable for repopulation based on its morphological development.
High-dimensional aerodynamic data modeling using a machine learning method based on a convolutional neural network
Authors: Zan Bo-Wen , Han Zhong-Hua , Xu Chen-Zhou , Liu Ming-Qi , Wang Wen-Zheng 
Published: December 2022

AbstractModeling high-dimensional aerodynamic data presents a significant challenge in aero-loads prediction, aerodynamic shape optimization, flight control, and simulation. This article develops a machine learning approach based on a convolutional neural network (CNN) to address this problem. A CNN can implicitly distill features underlying the data. The number of parameters to be trained can be significantly reduced because of its local connectivity and parameter-sharing properties, which is favorable for solving high-dimensional problems in which the training cost can be prohibitive. A hypersonic wing similar to the Sanger aerospace plane carrier wing is employed as the test case to demonstrate the CNN-based modeling method. First, the wing is parameterized by the free-form deformation method, and 109 variables incorporating flight status and aerodynamic shape variables are defined as model input. Second, more than 7000 sample points generated by the Latin hypercube sampling method are evaluated by performing computational fluid dynamics simulations using a Reynolds-averaged Navier–Stokes flow solver to obtain an aerodynamic database, and a CNN model is built based on the observed data. Finally, the well-trained CNN model considering both flight status and shape variables is applied to aerodynamic shape optimization to demonstrate its capability to achieve fast optimization at multiple flight statuses.
Seasonal dynamics of myocardial infarctions in regions with different types of a climate: a meta-analysis
Authors: Kuzmenko Nataliya V. , Tsyrlin Vitaliy A. , Pliss Mikhail G. , Galagudza Mikhail M. 
Published: December 2022

Abstract
Background
It is known that cardiovascular events (CVE) occur more often in winter than in summer. However, dependence of myocardial infarction (MI) risk of on various meteorological factors is still not fully understood. Also, the dependence of the seasonal dynamics of MI on gender and age has not yet been studied. The purpose of our meta-analysis is to reveal dependence of the circannual dynamics of MI hospitalizations on gender, age, and characteristics of a region’s climate.

Main body
Using Review Manager 5.3, we performed a meta-analysis of 26 publications on the seasonal dynamics of MI. In our meta-analysis, the relative MI risk was higher in colder compared to warmer seasons. Old age insignificantly increased the seasonal MI risk; gender did not affect the seasonal dynamics of MI, but MI was more common in men than in women. The severity of the seasonal dynamics of MI risk depended on the climate of the region. In a climate with a small amplitude of circannual fluctuations in air temperature, atmospheric pressure, and partial oxygen density in the air, as well as in regions where air humidity is higher in winter than in summer, an increase in MI risk in winter compared to summer was significant. It was not significant in regions with opposite climatic tendencies.

Conclusions
Based on the results of our studies, it can be concluded that a decrease in air temperature increases in MI risk; in addition, hypoxia in the hot season can provoke CVE associated with ischemia.