bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research trends of Melia in tropical plantation forestry
Authors: S Suresh Ramanan , A Arunachalam , Sahoo U. K. , Upadhyaya Kalidas 
Published: September 2023

Abstract
The genus Melia is known for its secondary metabolite utility but there are vast differences among its species. One species of this genus, Melia azedarach is reported to be invasive and while another species, M. dubia, has diverse utility with complex germination and regeneration characteristics. Researchers are working on the different aspects of this genus, with an increasing number of scientific publications. We attempted to understand facets of the scientific literature on this genus using the topic modelling and science mapping approach. The literature corpus of the Web of Science database was explored using a single keyword – “Melia” which yielded 1523 publications (1946–2022) and after scrutiny 1263 publications were used in the study. Although nine species were mentioned in the publications, only three species are accepted: M. dubia, M. azedarach, and M. volkensii. This implies taxonomic uncertainty, with potential confusion in assigning scientific findings to particular species. This needs to be sorted out for a better assessment of the economic utility of the genus in many countries. More importantly, our results indicate that the research interests have shifted from the secondary metabolite constituents towards growth, biomass, wood properties, germination, plantation, and green synthesis. The shift in research focus toward wood properties of Melia sp. can impact the wood demand-supply at a global scale owing to its fast growth and the possibility of cultivation over a wider geographical range.
Modelling the temporal trajectories of human milk components
Authors: Baranyi József , Pacza Tünde Vámosiné , Martins Mayara , Thakkar Sagar K. , Samuel Tinu M. 
Published: September 2023

Abstract
This paper demonstrates how Human Milk (HM) research can be transformed from descriptive to predictive science, by applying mathematical modelling techniques to available data. The temporal trajectories of selected human milk components (HMC) were described, in the first four months postpartum, by a temporal model consisting of two phases: a short linear phase in the colostrum, triggered by the parturition; and a longer second phase, where the concentration of the component converges to a steady state. The model was fitted to data available in a recently published database of temporal HMC trajectories. Its structure proved to be suitable to describe those trajectories both at individual molecule (such as specific fatty acid, oligosaccharide, and mineral molecules) and molecule-group (such as total protein, total fat) levels. The properties of the trajectories suggest that experimental designs should follow non-linear sampling times, with shorter time intervals in the first two weeks postpartum. A selected parameter, the final stationary level, of the primary model was then studied as a function of various factors of the mother-infant-milk triad. We found that the total variation of the concentration of specific HMC is dominated by the inherent biological differences between individual mothers even in a homogeneous cohort.
Does COVID-19 vaccination increase the risk of ILD in a population level?
Authors: Kim Taehee , Lee Hyun , Yeom Sang Woo , Jeong Cho Yun , Kim Bo-Guen , Kim Tai Sun , Park Dong Won , Moon Ji-Yong , Kim Tae-Hyung , Sohn Jang Won , Yoon Ho Joo , Kim Jong Seung , Kim Sang-Heon 
Published: September 2023

Abstract
COVID-19 vaccination is effective in preventing severe pneumonia and complications from COVID-19. However, several case reports have raised the possibility that interstitial lung disease (ILD) may occur as a side effect of vaccination. This study aims to compare the incidence and risk of ILD in subjects who were vaccinated for COVID-19 and those who were not. A retrospective cohort study was conducted using data from the Korean National Health Insurance Service database. During a follow-up period of 6 months, the incidence rate of ILD was significantly lower in the vaccinated group than among controls and the hazards for developing ILD were also lower among the vaccinated group.
Oncocytic Cell Carcinoma of the Thyroid with TERT Promoter Mutation Presenting as Asphyxia in an Elderly: A Case Report
Authors: Wang Xiqian , Liu Yingao , Chen Lijie , Zhang Jie , Jiang Ruoyu , Yan Han , Zhang Jie 
Published: September 2023

Abstract
With the aging population, the prevalence of thyroid nodules and malignancies among the elderly becomes a significant health concern. Thyroid nodules in the elderly exhibit distinct characteristics, necessitating careful consideration of treatment strategies that balance the risks and benefits associated with diagnosis and intervention. Oncocytic carcinoma of the thyroid (OCA) is a rare subtype with potential aggressive behavior and poorer prognosis. OCA also poses diagnostic challenges resembling benign lesions. Molecular testing can aid differentiation and guides treatment. This case highlights an 84-year-old patient with OCA causing asphyxia, emphasizing complexities in diagnosing and treating thyroid malignancies in the elderly. Biopsy and molecular testing provide diagnostic accuracy and guide treatment decisions. Considering individualized approaches in elderly populations is essential for improved outcomes.
Evaluation of vertical irregularity effects of historical masonry buildings through a simplified procedure: the case of Florence city center.
Authors: Alecci Valerio , De Stefano Mario , Galassi Stefano , Nudo Raffaele , Pugliese Dora , Stipo Gianfranco 
Published: September 2023

Abstract
Masonry buildings constitute a large part of the European building heritage. This building stock often presents plan or vertical irregularity generally caused by the architectural and structural modifications undergone over the time. In the context of historical city centres, the most recurring irregularity is the vertical one, due to sudden variations in mass, stiffness (and strength) of walls along the building height. In particular, in the case of Florence city centre (Italy), vertical irregularity is caused by the removing of large portions of masonry walls at the ground floor as a consequence of the changed use of these parts of the building; the functional modification of the openings scheme at the different levels of the building due to the internal renovation of the flats; the rooftop addition. In this paper vertical irregularity in historical masonry buildings is investigated through the analysis of single masonry walls. A simplified numerical procedure is adopted in order to evaluate the influence of vertical irregularity on the seismic response of masonry walls along the building height. The masonry structure is modelled through an assemblage of rigid and infinitely strong blocks, linked in-between and to the soil by means of deformable joints. Numerical results demonstrated that this simplified procedure is able to predict the behavior of masonry walls both before and after the typical structural modifications which involved, particularly, the historical buildings of Florence city center. This simplified procedure is suggested as a useful tool for both research purposes and professional practice.
Intrathoracic migration of a breast prosthesis after minimally-invasive atrial myxoma resection: a case report
Authors: Dawson Amy , Mackay Emily , Buduhan Gordon 
Published: September 2023

Abstract
Background
Intrathoracic migration of breast prostheses has been described after both open and minimally-invasive cardiothoracic and breast surgery, with several proposed mechanisms of migration.
Case presentation
In this report, we describe an unusual presentation of intrathoracic prosthetic migration following remote minimally-invasive cardiac surgery for atrial myxoma resection.
Conclusions
Due to the rare but documented risk of intrathoracic migration following minimally-invasive cardiothoracic surgery, consideration should be given to surgical strategies for mitigating this risk at the time of initial surgery.
Bilateral cerebellar repetitive transcranial magnetic stimulation for chronic nonlateralized ataxia after hemorrhagic stroke: A case report
Authors: Einstein Evan Hy , Corlier Juliana , Matthews Cole , Ngo Doan , Leuchter Michael K , Citrenbaum Cole , Vince-Cruz Nikita , Ramesh Bhavna , Slan Aaron , Wilke Scott A , Ginder Nathaniel , Strouse Thomas , Leuchter Andrew F 
Published: September 2023

Abstract
There are insufficient treatment options available for recovery related to cerebellar ataxia. Limited data using repetitive Transcranial Magnetic Stimulation (rTMS) have demonstrated reduction of symptom burden, though associated with nonuniform cerebellar ataxia etiologies and differing rTMS treatment protocols. Additionally, there are no available data for use of rTMS in individuals suffering from bilateral stroke-related symptoms. We present the case of a patient with chronic cerebellar ataxia following a hemorrhagic stroke who underwent inhibitory rTMS to bilateral cerebellar targets with demonstrated improvement in symptoms.
Who made the oil paintings: machine or human?
Authors: Duan Zhi-Li 
Published: September 2023

Abstract
With the advancements made in different spheres of life by means of artificial intelligence (AI), including art, it is now possible to generate artworks using AI. This technology involves learning features from existing artworks to create “artificial” artworks and can generate impressive imitations of human-created oil paintings. We aimed to ascertain whether AI can help machines differentiate human-created oil paintings from AI-generated paintings and compared the prediction accuracy with that of human experts. A total of 8,437 images divided into 10 categories, transferred into different artistic styles of Monet, Van Gogh, Cezanne, and Ukiyo-e by using the CycleGAN model, were identified as AI-generated. The corresponding paintings created by human artists were included in the training dataset. The Inception-v3 model was used as the convolutional neural network (CNN) architecture. Transfer learning and fine-tuning were used to update the parameters in all layers of the model. Besides a unique model trained for each style of image, a model was trained on images of the artistic styles randomly selected from Monet, Van Gogh, Cezanne, and Ukiyo-e. The CNN models trained on different artistic styles yielded an average accuracy of 95.26%. The random-style model yielded an accuracy of 87.09% and an area under the receiver operating characteristic curve of 0.987 in the test dataset. The two human experts yielded an average accuracy of 82.59% and 87.09% in all test datasets, less than the average of the CNN models. To further assess the generalization capability of the models, we evaluated the performance of the CNN models on the external validation dataset. The CNN models also better differentiated human-created paintings from AI-generated paintings compared with the human experts. The results suggested that our CNN models were useful for differentiating human-created paintings from AI-generated paintings. This helped eliminate potential biases and disputes arising from personal opinions.
Construction and validation of risk prediction model for gastrointestinal bleeding in patients after coronary artery bypass transplantation
Authors: Yang Mei , Zhan Shuyu , Gao Han , Liao Caiyun , Li Shisi 
Published: September 2023

Abstract
Objective: This study aimed to develop a risk prediction model for gastrointestinal bleeding in patients after coronary artery bypass grafting (CABG) and assess its accuracy.
Methods: A retrospective analysis was conducted on 232 patients who underwent CABG under general anesthesia at our hospital between January 2022 and December 2022. The patients were divided into two groups: the gastrointestinal bleeding group (n=52) and the group without gastrointestinal bleeding (n=180). The independent risk factors for gastrointestinal bleeding in post-CABG patients were analyzed using χ2 test, t test, and Logistic multivariate regression analysis. A prediction model was established based on the identified risk factors. To verify the accuracy of the prediction model, a verification group of 161 patients who met the criteria from January to June 2023 was selected, and the Bootstrap method was used for internal validation. The discrimination of the prediction model was evaluated using the area under the curve (AUC), where a higher AUC indicates a stronger discrimination effect of the model.
Results:The study developed a risk prediction model for gastrointestinal bleeding after coronary artery bypass grafting (CABG) surgery. The model identified four independent risk factors: duration of stay in the intensive care unit (OR=0.761), cardiopulmonary bypass time (OR=1.019), prolonged aortic occlusion time (OR=0.981), and re-operation for bleeding (OR=0.180). Based on these factors, an individualized risk prediction model was constructed. The C-index values of the modeling group and the verification group were 0.805 [95% CI (0.7303-0.8793)] and 0.785 [95% CI (0.6932-0.8766)], respectively, indicating good accuracy and discrimination. The calibration and standard curves showed similar results, further supporting the accuracy of the risk prediction model.
Conclusion:In conclusion, ICU time, cardiopulmonary bypass time, aortic occlusion time, and re-operation for bleeding are identified as independent risk factors for gastrointestinal bleeding in patients after CABG surgery. The risk prediction model developed in this study demonstrates strong predictive performance, offering valuable insights for clinical medical professionals in evaluating gastrointestinal complications in CABG patients.
Butorphanol Nasal Spray Relieves Pain and Distress in Women Under Epidural Labor Analgesia: A Randomized Controlled Trial
Authors: Sun Jing , Wu Fan , Wu Mingguang , Wu Guanxiong , Zheng Zhao , Li Gehui , Wang Xiaoguang , Huang Xiaolei , Li Yuantao 
Published: September 2023

Abstract
Background
Epidural block is currently the most widely used, safe, and effective method of labor analgesia. Poor maternal anesthesia cooperation not only influences the effect of the anesthesia but also causes serious adverse consequences, including nerve damage due to changes in body position.
Methods
A randomized controlled clinical trial that included 200 participants comparing painless delivery with epidural alone versus a combination of butorphanol nasal spray prior to an epidural for painless delivery was conducted to evaluate the efficacy of the combination in reducing maternal pain and increasing maternal compliance.
Results
The maternal pain intensity score, maternal cooperation, Visual Analogue Scale (VAS) pain, and emotional score within 8 min after anesthesia results were significantly lower in the combined analgesic group (EXP group) compared to the epidural alone group (CTRL group). There were no statistically significant differences in 24-hour postpartum blood loss, labor duration, or lactation period. Neonatal-related indicators such as umbilical artery blood PCO2, base excess of extracellular fluid (BE-ecf) weight, and Apgar score were not significantly different between the EXP and CTRL groups. However, the umbilical artery blood pH in the EXP group was higher compared to the CTRL group. In the EXP group, the probabilities of pain intensity scores ≤ 6, probability of maternal cooperation scores ≤ 3, VAS scores ≤ 3 at 6, 8, and 10 minutes after anesthesia, and emotional scores of 0 were significantly higher compared to the CTRL group.
Conclusion
Butorphanol nasal spray can effectively relieve the pain of epidural puncture during labor analgesia, significantly improve the degree of maternal anesthesia adherence, and is a safe and effective method for combined maternal analgesia.
Knowledge mapping of the relationship between neuroimmune and psoriasis： A Bibliometric analysis（2004-2023）
Authors: wei lu , Zhang Buxin , Wang Qingxing , Yu Huanhuan , Xu Juntao , Liu Aimin 
Published: September 2023

Abstract
Background
Many studies have revealed that neuroimmune is closely related to psoriasis. However, information in this field remains ambiguous.
Objective
Therefore, this study aimed to examine the relationship between neuroimmune and psoriasis, identify journal publications and collaborators, and analyze keywords and research trends using a bibliometric method.
Methods
We systematically searched the Web of Science Core Collection (WOSCC) for papers published on neuroimmune and psoriasis. Retrieved data regarding countries, institutions, authors, journals, keywords, and so on. VOSviewer, CiteSpace, R package “bibliometrix”, and MapChart were used to visualize the information through collaborative networks.
Results
398 articles from 48 countries led by the United States were included. The number of publications related to neuroimmune in psoriasis showes significantly increase in recent years. University of Miami, University of California Davis and Capital Medical University are the main research institutions. The Journal of Investigative Dermatology is the most popular journal in this field. These publications come from 2028 authors, among whom Yosipovitch G, Raychaudhuri SP and Reich A had published the most papers. High-frequency keywords included “psoriasis”, “neuroinflammation “, “atopic-dermatitis”, “nerve growth-factor”, and “expression”. Recent studies have focused on “cutaneous nervous system”, “botulinum toxin”, “dementia”, and “parkinson’s disease” according to the cocitation analysis of kewords. “Botulinum toxin”, “dementia”, “Alzheimers disease” represent the frontiers of research in this field, undergoing an explosive phase.
Conclusion
These findings offer valuable insights for researchers to further investigate the involvement of neuroimmune mechanisms in psoriasis.
Vaccarin suppresses diabetic nephropathy through inhibiting the EGFR signaling pathway
Authors: Zhu Xuexue , Du Xinyao , Ma Xinyu , Meng Xinyu , Zhao Chenyang , Wen Yuanyuan , Zhang Shijie , Hou Bao , Cai Weiwei , Han Zhijun , Sun Haijian , Xu Fei , Qiu Liying 
Published: September 2023

Abstract
Background
Diabetic nephropathy (DN) is recognized as one of the primary causes of chronic kidney disease and end-stage renal disease. Vaccarin is a major component in traditional Chinese medicine Vaccaria with favorable effects on cardiovascular and metabolic diseases, including type 2 diabetes mellitus (T2DM). Nonetheless, the potential role and mechanism of vaccarin in the etiologies of DN have yet to be completely elucidated.
Methods
A classical T2DM was experimentally induced in mice via a high-fat diet (HFD)/ streptozocin (STZ) regimen. The renal histological changes were assessed. Masson staining and immunohistochemistry (IHC) were employed to assess renal fibrosis. Quantitative real time-PCR (RT-PCR) was utilized to quantify the mRNA levels of renal fibrosis and inflammation markers. The levels of malondialdehyde (MDA) and reactive oxygen species (ROS), as well as the contents of glutathione peroxidase (GSH-Px) were measured. The protein expression of collagen Ⅰ, TGF-β1, α-SMA, E-cadherin, P-ERK, P-EGFR(Y845), P-EGFR(Y1173), T-ERK and T-EGFR was detected by western blot.
Results
Our study showed that vaccarin had a beneficial impact on DN mice by improving renal function and mitigating histological damage. This was achieved through its inhibition of renal fibrosis, the reduction of inflammation cytokine overproduction, and ROS levels. Moreover, vaccarin treatment effectively suppressed epithelial-to-mesenchymal transition (EMT), a crucial process in renal fibrosis, in high glucose (HG)-induced HK-2 cells. The underlying mechanism was explored through network pharmacology analysis and molecular docking, which identified epidermal growth factor receptor (EGFR) as a potential target for vaccarin. In support, vaccarin reduced the phosphorylation levels of both EGFR and its downstream mediator, extracellular signal-regulated kinase 1/2 (ERK1/2), in diabetic kidneys and HG-treated HK-2 cells. Notably, blocking either EGFR or ERK1/2 yielded similar renal benefits as observed with vaccarin treatment.
Conclusion
This study revealed that vaccarin held the strong ability to attenuate renal damage via inactivation of EGFR signaling in T2DM.
Genotyping of Torque Teno Virus among Women with Urinary Tract Infection in Diyala Governorate
Authors: Kaleefah Nedhal Mahmood 
Published: September 2023

Abstract
Introduction: Urinary tract infections are a persistent global problem; several types of pathogens associated with this disease Torque Teno Virus is a possible cause that can affect all ages and affect women more than men due to anatomy and physiological functions.
Objectives: To determine the infection rate and genotypes of Torque Teno Virus among women with urinary tract infection and study the correlation between Torque Teno Virus infection and different parameters.
Methods: A cross-sectional study was performed using data obtained from women with urinary tract infections (50 pregnant women and 50 non-pregnant women). Urine samples were collected for microscopic and macroscopic examination, bacterial culture, DNA extraction, followed by amplification with specific primers by a nested polymerase chain reaction for phylogenic analysis.
Results: Out of 100 samples, eight samples were positive for Torque Teno Virus (8%). The infection rate of Torque Teno Virus was more common (75%) in the age group (31-47) years with statistical significance. Three cases (37.5%) of Staphylococcus aureus and 2 cases (25%) of each of Escherichia coli and Proteus mirabilis, and 1(12.5%) Enterococcus fecalis showed co-infection with positive Torque Teno Virus cases. The phylogenetic analysis results for Torque Teno Virus DNA isolated from urine samples revealed that all local isolates (8 isolates) belong to type 1 and 2. According to the closest, the phylogenetic tree results analysis showed the local isolate (No. 6 ) clustered with the reference isolates (Egypt, USA, England, Australia and Saudi Arabia). Isolate (No.1) showed was close to Italian and Brazilian isolates, while isolates number (2 and 5), (3 and 7), and (4 and 8) are very closely related to each other and closed to isolates from Iran.
Conclusion: The genotyping analysis of Torque Teno Virus among women with UTI in Diyala Governorate found that all isolates in the studied group belong to TTV genotypes 1 and 2, local isolate (No. 6) was close to isolates from different regions such as Egypt, USA, England, Australia and Saudi Arabia, local isolate (No. 1) was close to Italian and Brazilian isolates. Moreover, the other six isolates were closed to Iranian isolates.
Advancing Network Security: Enhancing Dynamic Vulnerability Detection in Secure and Insecure Programming through SDN-ML Hybrid Architecture
Authors: Sultan Thikra , Hendaoui Saloua 
Published: September 2023

Abstract
Software-Defined Networking (SDN) is a new technique or method for managing computer networks. It contains several characteristics that allow the network to be set in a way that makes it easier to administer at a lower cost and improved efficiency to meet the demands of today's technology. However, three key factors must be assured while developing these networks: integrity, availability, and confidentiality. These networks are written in a variety of programming languages, including Java, and their frameworks may be checked and evaluated using software metrics to assure their integrity.
The majority of software metrics tools primarily rely on static analysis and lack the capability to identify dynamic errors that arise from intricate abstract data structures like linked lists. Machine learning has the potential to enhance code analysis and identify vulnerabilities by addressing these dynamic challenges.
This paper will suggest leveraging machine learning techniques to supplement software metrics tools, thereby addressing the limitation of static analysis in detecting dynamic errors originating from complex abstract data structures like linked lists. This novel approach aims to enhance code analysis and bolster the identification of vulnerabilities in software systems.