bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy of inhaled nitric oxide under different oxygenation indexes in neonatal pulmonary hypertension
Authors: Wang YiJin , Pan Ying , Li Jian Ming , Lan Guofeng , He Xiao , Shi XueKai 
Published: July 2024

Abstract

Objectives
To analyze the efficacy of inhaled nitric oxide (iNO) in the treatment of neonatal pulmonary hypertension under different oxygenation indexes (OI).
Methods
In this retrospective analysis, 51 neonates diagnosed with PPHN and treated with invasive mechanical ventilation at The Second People's Hospital of Nanning and Maternal and Child Health Hospital of Nanning from January 1, 2021, to December 31, 2023, were selected as the study subjects. According to different values of OI, the neonates were divided into three groups; subjects with OI ≤ 12 were categorized into group A (n = 20), 12 < OI ≤ 16 into group B (n = 16), and OI > 16 into group C (n = 15). The OI, oxygen saturation (SaO2), pulmonary artery pressure (PAP), duration of iNO treatment, and the time and cure rate of invasive mechanical ventilation were compared between groups A, B, and C after treatment.
Results
Comparison of OI between the three groups indicated significant changes in group A at 6 h and 24 h after treatment; whereas, there were no significant changes in group B and C at 6 h after treatment, and changes were visible only 24 h after treatment. Among the three groups, the degree of decrease of OI in group A was the highest, followed by group B, and group C was the least, with the differences being statistically significant (P < 0.05). Moreover, there were no significant differences in PAP and SaO2 in the three groups before treatment; whereas, after treatment, group A showed the greatest decrease in PAP and the greatest increase in SaO2, followed by groups B and C, and the differences were statistically significant (P < 0.05). Furthermore, a comparison of the durations of NO treatment, mechanical ventilation, and prognosis of children in groups A, B, and C revealed that children in group A needed iNO and mechanical ventilation for the lowest time, followed by those in group B, while children in group C needed iNO and mechanical ventilation for the longest time, with the differences being statistically significant (P < 0.05). The cure rate of group A was 85.0%, that of group B was 75.0%, and group C was 46.7% (x2 = 6.161; P < 0.05).
Conclusions
Under different OI conditions, iNO treatment for pulmonary hypertension may produce different curative effects. When OI ≤ 12, iNO treatment can timely improve SaO2, reduce PAP, improve the cure rate, shorten the time on the machine, and decrease the treatment cost. When OI > 12, iNO treatment cannot increase SaO2 significantly or decrease PAP and PaCO2 timely; mortality rates increased significantly, and the time needed on a ventilator was longer. Therefore, when the OI of children with PPHN reaches 12, iNO should be used as soon as possible to improve the cure rate.
Determining people’s ease and difficulty of movement based on observed travel behavior
Authors: Saadi Diana , Martens Karel 
Published: July 2024

Abstract

This paper presents an approach to use GPS-based travel behavior surveys to determine who is being served well and who is being served poorly by the transport system. We draw on the extensive literature on travel behavior, which has shown that people’s travel behavior is at least in part shaped by the travel barriers they experience. Starting from this basic insight, we define 17 parameters that may provide insight into a person’s relative ease of movement. These ease of movement parameters cover dimensions related to trip frequency (e.g., overall and in evening hours), transport mode use (e.g., as driver or passenger), travel speed (e.g., for public transport legs), distance (e.g., trip detour ratio), and effort (e.g., ratio between trip legs and out-of-home activities). None of these parameters by themselves is sufficient to determine whether someone is served well or poorly by the transport system, as behaviors may be the result of choice as well as constraint. However, we argue that jointly the parameters are likely to differentiate well-served from poorly-served people. We apply our approach to data from six GPS-based travel behavior surveys conducted in Israel’s four main metropolitan areas (N = 62,981). We calculate z-scores for all ease of movement parameters, with negative values suggesting mobility problems and positive values relative ease of movement compared to the entire sample. We conduct four known-group analysis, comparing mean z-scores by level of access to a private motorized vehicle, age, gender, and disability. Results are systematically in line with expectations: population segments identified in the literature as experiencing (more severe levels of) transport disadvantage show systematically lower composite mobility scores. These outcomes are particularly striking, taking into account the short observation period of only one day per respondent. Taken together, these findings provide a first indication that revealed travel behavior patterns can be used to identify population segments poorly served by the transport system and thus to determine both success and failure of the existing transport system. While more research is needed, the approach holds promise to determine the impacts of transport investments on people’s ease of movement.
Disease Detection with Hybrid Architecture of ResNet and VGG16 Networks in Real Time
Authors: D Manjunatha , S Gayathri , Ali Irfan , M Shanmukha S , Khan Maseeulla 
Published: July 2024

Abstract

Modern agriculture faces a critical challenge in ensuring the health and yield of crops, with the early detection and treatment of diseases playing a pivotal role. Traditional methods reliant on manual inspection are not only time-consuming but also prone to errors, leading to significant crop losses and economic impact. The importance of this research lies in mitigating these inefficiencies by developing a robust ML model capable of accurately identifying diseased tomato leaves in the plants. Datasets considered while algorithm training comprise around 6 thousand to 8 thousand images, including both healthy and diseased leaves. The primary gap this research addresses is the inadequacy of conventional methods in providing timely and accurate disease detection. The research aims to harness the power of advanced ML algorithms including Visual Geometry Group 16 & Residual Network for the deep feature extraction. The model is trained, validated, and tested using a split dataset approach to ensure high accuracy and reliability. Key findings indicate that the model achieves an accuracy of around 95% in simulations, although a slight drop in accuracy is observed in real-time applications. Despite this, the ML-based approach significantly surpasses traditional methods, offering a more efficient and scalable solution to find the diseased leaves soon in tomato. These findings highlight potential in ML to transform agricultural practices by providing timely and accurate disease detection, reducing the reliance on manual labor, and contributing to increased crop yields and sustainable farming practices.
Use of Cadaveri̇c Margi̇nal Donors in Kidney Transplantation: a Single Center Experience
Authors: AYAR Yavuz , Ersoy Alparslan , Sayilar Emel Isıktas , Yildiz Abdulmecit , Can Fatma Ezgi , Oruc Aysegul 
Published: July 2024

Abstract

Objective:The increase in the need for organs and decrease in the cadaver pool have led to a tendency towards organ transplantation from marginal donors. In our study, patients who underwent transplantation based on the standard and expanded donor criteria were compared in terms of factors affecting graft survival.
Methods:Data of patients who underwent transplantation from cadavers with standard and extended criteria (SCD, ECD) between 01.07.2011 and 30.06.2016 evaluated retrospectively. Donor characteristics, treatment type, response and graft characteristics, 1st, 3rd and 5th year graft survival, and acute rejection rates were analyzed, retrospectively.
Results: The causes of death, cerebrovascular accidents were more common in the ECD group (p<0.001). Hypertension and diabetes were more common in both donor groups and detected more frequently in recipients in the ECD group (p<0.001). The absence of mycophenolate mofetil (MMF) use and the presence of an acute rejection attack adversely affected graft survival at the end of the 1st, 3rd and 5th years.
Conclusion:The use of marginal donors is widespread. Appropriate monitoring of patients undergoing immunosuppressive therapy, especially using MMF and the presence of acute rejection, affects graft survival. Therefore, attention should be paid to immunosuppressive treatment and rejection in ECD transplant recipients.
Effectiveness of ICF-Based Adaptive Physical Activity Programs for High School Students with Intellectual Disabilities in China：a randomized controlled trial
Authors: Shen Xin , Huang Peiying , Nie Bing , Su Maolin , Liu Dan , Guo Yin , Zheng Lan 
Published: July 2024

Abstract

The insufficient effectiveness of physical education curriculum for Chinese high school students with intellectual disabilities (ID) arises from a deficiency in customized frameworks. This study aims to evaluate the impact of adaptive physical activity (APA) programs designed according to the International Classification of Functioning, Disability and Health (ICF) framework on the health-related physical fitness (HRPF) and fundamental movement skills (FMS) of high school students with intellectual disabilities (ID). A total of 28 students with ID (mean age = 16.2 years) were randomly assigned to an intervention group (IG) participating in APA programs, or a control group (CG) following traditional physical education. The APA sessions lasted 45 minutes, three times a week, for 16 weeks. Pre- and post-intervention HRPF and FMS were assessed. The results show that significant improvements were observed in HRPF and FMS in the IG compared to the CG. Specifically, handgrip strength, sit-to-stand performance, and PACER test results improved significantly. The APA program, based on the ICF theory, is a valuable addition to the current physical education curriculum for students with ID, offering a more inclusive and effective approach to their physical education.
Effects of continuous cropping on growth and rhizosphere soil microbial community structure of Salvia miltiorrhiza Bge
Authors: JU Ji dong , Zhou Bingqian , Meng Yuan , Yang Guohong , Fu Xinyu , Wang Xiao , Guo Lanping , Liu Wei 
Published: July 2024

Abstract

Continuous cropping has restricted the development of high-quality and high-yield Salvia miltiorrhiza, which has become an urgent problem to be addressed. The evolution of microbial rhizosphere communities is closely related to plant growth, which may be a key factor that is aggravating obstacles to continuous cropping. Therefore, this study explored the effects of continuous cropping on the microbial rhizosphere community of S. miltiorrhiza. Methods: The effects of continuous cropping on the physiological and morphological indices of S. miltiorrhiza were evaluated by pot experiments. The V4 region of the rhizosphere bacterial 16S rDNA gene and ITS1 region of the fungal gene were sequenced by NovaSeq platform high-throughput sequencing technology to explore the effects of continuous cropping on the bacterial and fungal community structure in the rhizosphere of S. miltiorrhiza. Results: After continuous cropping, the biomass of S. miltiorrhiza decreased, the plant wilted and dwarfed, and the effective leaf area, main root length, and diameter significantly decreased. The accumulation of total chlorophyll, carbohydrates, and effective components was significantly reduced, and photosynthesis was reduced. The bacterial and fungal community composition and function in the rhizosphere soil altered significantly. The bacterial diversity in continuous cropping soil decreased, while the fungal community diversity increased, along with the emergence of pathogenic fungi such as Fusarium solani. Conclusion: Continuous cropping led to morphological changes, weak physiological activity, and reduced bioaccumulation of S. miltiorrhiza, and affected the composition of the microbial rhizosphere community. This may be a key factor that aggravates obstacles in continuous cropping.
Deletion of pagL and arnT genes that involved in LPS structure and charge modulation in Salmonella genome confer reduced endotoxicity and retained efficient protection against wild-type S. Gallinarium challenge in chicken
Authors: Aganja Ram Prasad , Kwon Jun , Senevirathne Amal , Lee John Hwa 
Published: July 2024

Abstract

Fowl typhoid (FT) poses a significant threat to the poultry industry, especially in developing regions, causing substantial economic losses. Caused by Salmonella Gallinarium, FT can be prevented by vaccination, but existing vaccines like the SG9R strain have limitations, including residual virulence and potential reversion of pathogenicity. This study aims to develop safer and more effective SG vaccine strains through targeted genetic modifications, focusing on genes involved in lipopolysaccharide (LPS) biosynthesis and modification. We evaluated two novel mutant SG strains, JOL3015 and JOL3016, carrying in-frame deletions in ΔlonΔrfaLΔarnT and ΔlonΔrfaLΔpagL respectively. Intramuscular immunization with JOL3015 and JOL3016 strains showed minimal impact on the growth of 4-week-old young birds, significantly increased antigen-specific IgY, sIgA secretion, and CD4+ and CD8+ T cell responses, while inducing lower proinflammatory cytokine levels than SG9R. Histopathological evaluations revealed substantial protection in immunized birds, with minimal tissue damage and inflammatory responses, reducing the in vivo bacterial burden. None of the immunized birds died, highlighting the significant safety and protection conferred by the selected genetic modifications. Our results indicate that JOL3016 provided comparable protective outcomes on par with SG9R, yet with significantly lower endotoxicity responses during the lethal challenge with SG WT JOL422. The novel detoxified SG strains, particularly JOL3016, offer a promising alternative to existing vaccines for FT. They provide effective protection with minimal impact on poultry growth, minimizing the risks associated with reversion and endotoxicity. This study highlights the potential of genetically engineered vaccine strains in improving poultry health and productivity, emphasizing the importance of continued research.
Machine Learning-Based Prediction Models for the Prognosis of COVID-19 Patients with DKA
Authors: Xiang Zhongyuan , Hu Jingyi , Bu Shengfang , Ding Jin , Xi Chen , Li Ziyang 
Published: July 2024

Abstract

Patients with Diabetic ketoacidosis (DKA) have increased critical illness and mortality during coronavirus diseases 2019 (COVID-19). The aim of our study try to develop a predictive model for the occurrence of critical illness and mortality in COVID-19 patients with DKA utilizing machine learning. Blood samples and clinical data from 242 COVID-19 patients with DKA collected from December 2022 to January 2023 at Second Xiangya Hospital. Patients were categorized into non-death (n = 202) and death (n = 38) groups, and non-severe (n = 146) and severe (n = 96) groups. We developed five machine learning-based prediction models—Extreme Gradient Boosting (XGB), Logistic Regression (LR), Logistic Regression (RF), Support Vector Machine (SVM), and Multilayer Perceptron (MLP)—to evaluate the prognosis of COVID-19 patients with DKA. We employed 5-fold cross-validation for model evaluation and used the Shapley Additive Explanations (SHAP) algorithm for result interpretation to ensure reliability. The LR model demonstrated the highest accuracy (AUC = 0.933) in predicting mortality. Additionally, the LR model excelled (AUC = 0.898) in predicting progression to severe disease. This study successfully developed a machine learning-based prediction model for the prognosis of COVID-19 patients with DKA, demonstrating high predictive accuracy and clinical utility. This model can serve as a valuable tool in guiding the development of clinical treatments.
Prognosis of connective tissue disease related interstitial lung disease after initiation of long-term oxygen therapy: comparison with idiopathic pulmonary fibrosis
Authors: Ishiwari Mayuko , Kono Yuta , Togashi Yuki , Kobayashi Kenichi , Kikuchi Ryota , Kogami Mariko , Abe Shinji 
Published: July 2024

Abstract

Background
The studies of long-term oxygen therapy (LTOT) for patents with connective tissue disease-related interstitial lung disease (CTD-ILD) are limited. This study aimed to investigate the prognosis of patients with CTD-ILD after the initiation of LTOT, compared to those with idiopathic pulmonary fibrosis (IPF).
Methods
We retrospectively investigated patients with CTD-ILD and IPF who were introduced to LTOT between January 2014 and December 2020.
Results
The study included 24 patients with CTD-ILD and 55 patients with IPF. Female gender, never-smoking history, higher body mass index (BMI), higher lactate dehydrogenase (LDH) level, lower pulmonary Surfactant Protein-D (SP-D) level and lower Gender-Age-Physiology (GAP) scores were more common in the CTD-ILD group (all < 0.05). The time from interstitial lung disease (ILD) diagnosis to LTOT initiation for patients with CTD-ILD was significantly longer than for patients with IPF (36.0 vs 23.5 months, p = 0.028). Log-rank tests showed that patients with CTD-ILD had significantly longer survival compared to IPF patients after the diagnosis of ILD (p < 0.001). However, no significant difference in survival after the initiation of LTOT was noted between patients with CTD-ILD and IPF (p = 0.276).
Conclusion
Although patients with CTD-ILD had longer overall survival than those with IPF, there was no significant difference in prognosis after the initiation of LTOT between the two groups.
Construction of an interactome network among circRNA-miRNA-mRNA reveals new biomarkers in hBMSCs osteogenic differentiation
Authors: Su Kaixin , Cui Xinyan , Zhou Jian , Yi Qiao , Liu Ousheng 
Published: July 2024

Abstract

Human bone marrow mesenchymal stem cells (hBMSCs) are adult stem cells residing in the bone marrow, characterized by their capacity for multi-directional differentiation, self-renewal, migration, and engraftment. Serving as seed cells, BMSCs play a pivotal role in the regeneration of bone defects. Hence, investigating the transcription factors and signaling pathways involved in the regulation of osteogenic differentiation in BMSCs holds significant importance. Recent re-search has unveiled that certain circular RNAs (circRNAs) can function as molecular sponges, influencing the osteogenic differentiation process of mesenchymal stem cells. However, many circRNAs remain undiscovered, and their precise mechanisms remain elusive. Therefore, the objective of this study is to construct an osteogenic differentiation-related circRNA-miRNA-mRNA network in hBMSCs through bioinformatics analysis. Subsequently, circRNAs associated with the osteogenic differentiation of hBMSCs, as identified by bioinformatics analysis, along with their potential miRNA-mRNA axes, will be validated through in vitro experiments.
CREB3L1 deficiency impairs odontoblastic differentiation and molar dentin deposition partially through the TMEM30B
Authors: Chen Zhi , Li Yuanyuan , Lin Yuxiu , Guo Jinqiang , Huang Delan , Zuo Huanyan , Zhang Hanshu , Yuan Guohua , Liu Huan 
Published: July 2024

Abstract

Odontoblasts are primarily responsible for synthesizing and secreting extracellular matrix proteins, which are crucial for dentinogenesis. Our previous single-cell profile and RNAscope for odontoblast lineage revealed that cyclic adenosine monophosphate responsive element-binding protein 3 like 1 (Creb3l1) was specifically enriched in the terminal differentiated odontoblasts. In this study, deletion of Creb3l1 in the Wnt1 + lineage led to insufficient root elongation and dentin deposition. Assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) and RNA sequencing were performed to revealed that in CREB3L1-deficient mouse dental papilla cells (mDPCs), the genes near the closed chromatin regions were mainly associated with mesenchymal development and the downregulated genes were primarily related to biological processes including cell differentiation, protein biosynthesis and transport, all of which were evidenced by a diminished ability of odontoblastic differentiation, a significant reduction in intracellular proteins, and an even greater decline in extracellular supernatant proteins. Dentin matrix protein 1 (Dmp1), dentin sialophosphoprotein (Dspp), and transmembrane protein 30B (Tmem30b) were identified as direct transcriptional regulatory targets. TMEM30B was intensively expressed in the differentiated odontoblasts, and exhibited a significant decline in both CREB3L1-deficient odontoblasts in vivo and in vitro. Deletion of Tmem30b impaired the ability of odontoblastic differentiation, protein synthesis, and protein secretion in mDPCs. Moreover, overexpressing TMEM30B in CREB3L1-deficient mDPCs partially rescued the extracellular proteins secretion. Collectively, our findings suggest that CREB3L1 participates in dentinogenesis and facilitates odontoblastic differentiation by directly enhancing the transcription of Dmp1, Dspp, and other differentiation-related genes and indirectly promoting protein secretion partially via TMEM30B.
Two-sample Mendelian randomization to analyze the association between depression and osteoarthritis risk
Authors: Yang Sidian , Yan Dezhi , Wang Xiangpeng , Yin JIguang , Yan Fulin , Wu Weishan 
Published: July 2024

Abstract

BACKGROUND: Clinical experience has shown that psychiatric disorders are likely to be risk factors for osteoarthritis, and the incidence of depression, as an important category of psychiatric disorders, has been increasing year by year, but the association between depression and osteoarthritis has not yet been established. , as an important category of psychiatric disorders, has been increasing year by year, but the association between depression and osteoarthritis has not been clearly investigated.
OBJECTIVE: To select a dataset of depression and osteoarthritis from the GWAS database and explore the relationship between the two by Mendelian randomisation analysis.
RESEARCH METHODS: A database of depression and osteoarthritis was selected to explore the relationship between depression and osteoarthritis using the inverse variance weighting (IVW) method of the Mendelian randomised random-effects model, and the results of the study were supplemented with the the inverse variance weighting (IVW) method of the Mendelian randomized random-effects model, and the results of the study were supplemented with the use of the MR-Egger method, among others. The results of the study were supplemented with the use of the MR-Egger method, among others.
RESULTS AND CONCLUSION: IVW results found a causal association between depression and osteoarthritis and that depression is a risk factor for osteoarthritis.