bluuebunny/crossref_metadata_2025_split huggingface dataset:
A case report of laryngeal edema caused by COVID-19
Authors: Liang Mintong , Li Tong , He Xiaolin , Ding Lishan , He Lei , Yang Rui 
Published: April 2023

Abstract
Background
Laryngeal edema is caused by the exudation of submucosal tissue fluid from the laxity of the pharynx and can lead to obstruction of the upper airway. It is commonly caused by post-extubation, drug allergy, and bacterial infection. During the current COVID-19 pandemic situation, laryngeal edema is a relatively rare but fatal complication of COVID-19. Taking measures to prevent laryngeal edema can reduce the incidence of sudden life-threatening events in the course of treatment.
Case presentation:
Here, we report a case in a Chinese male with COVID-19 complicated with laryngeal edema. The initial diagnosis of COVID-19 was followed by a sudden onset of inspiratory dyspnea during hospitalization. At the time of tracheal intubation, laryngeal edema was seen, and a positive bacterial culture suggested a secondary bacterial infection.
Conclusion
We report a rare case of laryngeal edema complicated by COVID-19. The patient recovered after prompt intubation and treatment. Close monitoring of patients' inflammation indicators and auxiliary bacterial monitoring can effectively prevent the occurrence of laryngeal edema caused by COVID-19.
A Social Network Analysis approach for identifying critical research areas in the management of Fall armyworm (Spodoptera frugiperda)
Authors: Karakkottil Prajith , Lalsiemlien Pulamte 
Published: April 2023

Abstract
The fall armyworm (Spodoptera frugiperda) is threatening the world's food supply and causing negative effects on food production and rural livelihoods in numerous nations, resulting in socioeconomic consequences. Despite significant research, there is still no effective way to control this pest. To manage the fall armyworm, institutional or global collaboration is necessary, which involves mobilizing resources for research, promoting international cooperation, and sharing knowledge. The article employs the Social Network Analysis method to analyze the current research trends related to management techniques for the fall armyworm, which provides new insights into the relationships between different concepts and control strategies and how they are being implemented in the field. The study identifies important research concepts, popular topics, and key actors that have influenced a specific field of research related to managing an agricultural pest. The information collected can be useful for students, academics, practitioners, science policy-makers, and R&D management who are interested in dealing with this pest.
Microwave Assisted Extraction of Citrus limetta Peel and assessment of its Bio-Actives Using HRLC-MS/MS
Authors: Deo S.K. , Sakhale B. K. 
Published: April 2023

Abstract
Citrus limetta, often known as sweet lime, is one of India's most important crops due to its high demand in the agro-processing industry. Peel of Citrus limetta has significant levels of polyphenolic chemicals that have pharmacological effects. In current study, the peel is valued for the bioactive compounds it contains. The total phenolic content (TPC) was 16.66 mg GAE/g with an extraction yield of 12.91%. Radical scavenging activity (RSA) was 78.05%, total flavanoid content (TFC) was 9.59 mg QE/g, and total phenolic content (TPC) was 9.59 mg QE/g. Sweet lime peel (SLP) extract was obtained by microwave assisted extraction (MAE) in methanol.LC-MS/MS results showed 18 flavonoid compounds along with polyphenols like rutin, curcumin diglucoside, carotenoid, coumeroic acid, coumaric acids, flavonoid-7-o-glycosides, and Gardenin B that embrace anticancer, antimicrobial, anti-inflammatory, and antitumor activity. This method uses Q-TOF LC/MS with Agilent MassHunter Profiler software to investigate bioactive components in sweet lime peel.
An Environmental Risks Management Model in Agriculture: Public Policies and Law
Authors: Gómez Jorge Freddy Milian , Triana Yanelys Delgado 
Published: April 2023

Abstract
The research deals with a model proposal for environmental risk management in agricultural production with a view to public policies and law. Agricultural production has been tied to nature since its emergence. However, the environmental shifts caused by climate change and the direct action of human beings significantly affect agricultural development. Therefore, risk management finds fertile ground in the agricultural industry, particularly environmental risk management. This research aims to set up a model for environmental risk management in agricultural production, taking a multidisciplinary and interdisciplinary view through the relationship between public policies and law. This article combines a vision from agricultural economics, management and social and legal sciences. Within the structure, general guidelines for environmental risk management in agricultural production are set up; an environmental risk management model is designed, and some public policies and law guidelines are provided. The research’s main result is to obtain a model for managing environmental risks in agricultural production, focusing on the relationship between law and public policy. The methods used are legal-theoretical, legal analytical, analysis-synthesis and inductive-deductive.
A rare case of penetrating thoracic aortic injury
Authors: Huang Xiaoyin , Chen Feiyan , Yu Changjiang , Chen Enguo , Zhou Daoyang 
Published: April 2023

Abstract
Introduction and importance Thoracic aortic injuries could be lethal events. Penetrating injuries to aortic are highly fatal, but these cases are rare in hospital.
Case presentation A 54-year-old man presented with cough for half a month and cough up blood for half a day before he went into our hospital. No obvious positive sign was detected in physical examination.
Clinical findings and investigations Chest computed tomography (CT) showed positive foreign body in the mediastinum, which penetrated the left main bronchus from front to back and penetrated the thoracic aorta backwards.
Interventions and outcome an endovascular stent graft was implanted to ensure that the penetrating aortic injury remains stable; then bronchoscopic evaluation was performed to remove the foreign body. The patient recovered uneventfully. No discomfort has been complained of during regular follow-up.
Relevance and impact endovascular stent repair is an effective lifesaving method for patients with penetrating aortic injury and with surgical contraindications.
COVID-19 impact on adolescent mental health: A reassessment accounting for development
Authors: Wright Nicky , Hill Jonathan , Sharp Helen , Refberg-Brown Miriam , Crook Danielle , Kehl Stuart , Pickles Andrew 
Published: April 2023

Abstract

Current prospective reports suggest a pandemic-related increase in adolescent mental health problems. We examine whether age-related change over 11-14 years accounts for this increase. Parents and adolescents in a UK-based birth cohort (Wirral Child Health and Development Study; WCHADS; N=737) reported on adolescent depression and behavioural problems pre-pandemic (February 2020), mid-pandemic (August 2020) and late-pandemic (August 2021). Analysis used repeated measures models for over-dispersed Poisson counts with a child-specific intercept with age as a time-varying covariate. Maturational curves for girls, but not for boys, showed a significant increase in self-reported depression symptoms over ages 11-14 years. Behavioural problems decreased for both. After adjusting for age-related change, girls’ depression increased by only 13% at mid-pandemic and returned to near pre-pandemic level at late-pandemic (mid versus late -12%) whereas boys’ depression increased by 31% and remained elevated (mid versus late 1%). Age-adjusted behavioural problems increased for both (girls 40%, boys 41%) and worsened from mid to late-pandemic (girls 33%, boys 18%). Initial reports of a pandemic-related increase in depression in young adolescent girls could be explained by a natural maturational rise. In contrast, maturational decreases in boys’ depression and both boys’ and girls’ behavioural problems may mask an effect of the pandemic.
Multi-view GCN for Loan Default Risk Prediction
Authors: Li Zihao , Chen Yakun , Wang Xianzhi , Yao Lina , Xu Guandong 
Published: April 2023

Abstract

Loan default risk prediction is a major application of machine learning for financial institutions to evaluate the client's default probability.

Existing deep learning models rarely consider the connection among application records for loan default detection. We believe similar records, as auxiliary information, are also significant for loan default prediction, particularly for those records with many missing data. Additionally, in practical scenarios, the data distribution is imbalanced since the default records are small samples, which may also lead the model to achieve sub-optimal results. To this end, we propose multi-view loan application graphs, dubbed MLAGs, for small sample augmentation. Additionally, based on the graph convolution, similar records can also be aggregated to alleviate the issue of missing values.

Moreover, a multi-view graph convolution network, named MGCN, is applied for loan default risk prediction. We conduct experiments on three public datasets from real-world home credit and P2P lending platforms, which show that MGCN outperforms both conventional and deep learning models.
Vitamin A-related Nutrition Knowledge Gaps and Predictors among Caregivers of Preschool Children in Eastern Uganda: A cross-sectional study
Authors: Mangusho Gilbert , Njogu Eunice , Baingana Rhona Kezabu , Kigaru Dorcus Mbithe David 
Published: April 2023

Abstract

Background
Vitamin A (VA) remains one of the core micronutrients as VA Deficiency (VAD) in children has persisted as a public health problem in many parts of Africa and Asia with adverse micro and macro-level effects. Caregivers of children are essential in the control of VAD; however, there is paucity of data on their knowledge of VA, dietary sources and VAD. This study sought to assess the level of VA-related nutrition knowledge (VANK) and its predictors among caregivers of children aged 24–59 months in Eastern Uganda.
Methods
A cross-sectional analytical design was used. Both socio-demographic and knowledge and attitude (KA) data were collected using a structured questionnaire partly adapted from the FAO model Knowledge, Attitude and Practice (KAP) questionnaire. A total of 247 caregivers of children in Bukwo District in Eastern Uganda out of 256 selected using purposive and random sampling methods participated in the study. Ten knowledge questions were used to assess caregiver knowledge based on percentage scores and levels attained (≤ 40%, low; 41–69%, medium and ≥ 70%, high). Pearson’s Chi-square and correlation, and regression statistics were used to analyze the data, with p < .05 considered as significant.
Results
The caregivers were mostly female (90%) with a mean age of 30.89 years (SD = 7.69), majority were married subsistence crop farmers with at least primary level education. Just over 20% scored above 40% on VANK, with varying scores for different aspects: knowledge of VA (46.6%) and VAD (31%); VAD causes (22%), signs/symptoms of VAD (13%) and means of prevention (24%). Perceived severity of VAD among caregivers was significantly associated with their VANK. Age and level of education, were found to be significant socio-demographic predictors of VANK (p < .05).
Conclusion
Caregivers of under-fives in Eastern Uganda had inadequate VANK which was also associated with their perceptions of VAD severity. The main predictors of VANK were age and educational level of the caregiver. Efforts to enhance VANK are recommended especially among caregivers with lower education levels for effective VAD control and achievement of nutrition-related goals such as the Sustainable Development Goal (SDG) 2.
The study of physico-mechanical properties of SiO 2 impregnated wood under dry and saturated conditions
Authors: Lemaire-Paul Mathieu , Foruzanmehr M. Reza. 
Published: April 2023

Abstract

This research has demonstrated that SiO2 impregnation under high vacuum pressure of -90 kPa can significantly reduce porosity by almost 10%, and improve mechanical and viscoelastic properties of spruce wood under dry and saturated states. Characterization methods, such as Impact test, DMA, SEM, EDS, Porosity and SAXS tests were conducted on non-treated and -90 kPa treated spruce wood samples under dry, saturated and submerged states to analyze the synergistic effect of high vacuum SiO2 impregnation pressure on wood’s properties. The results showed that high vacuum impregnation pressure had a significant positive reinforcing effect on wood’s properties. It increased the impact resistance of wood under dry and saturated conditions. Additionally, the high vacuum impregnation technique was able to overcome the water-induced softening effect and caused a significant increase in the Storage modulus through uniform dispersion of the SiO2 particles in the wood’s vascular structure. Consequently, the impregnation reinforced the wood, and ameliorated its capacity to absorb energy. High vacuum impregnation was also able to counteract the plasticizing effect of the water molecules and significantly increased the Loss modulus by increasing the internal friction and cohesion of the wood components with the addition of the nanoparticles to the vascular system, which increased the wood’s capacity to transform and dissipate energy. Quantitatively and qualitatively, impregnation under a vacuum pressure of -90 kPa exhibited an effective obstruction of the vascular structure of spruce wood. In all conditions, high vacuum impregnated samples showed significant enhancements over non-treated samples. This research demonstrated that high vacuum SiO2 impregnation is an effective wood processing techniques. Multiple materials and applications could benefit from this research wherein high strain-rate deformations is expected to occur or when simultaneous elastic behaviour of wood and its damping energy is needed. This study could also pave the way for research on the synergistic effect of SiO2 impregnation and water absorption on the viscoelastic behaviour of wood.
The Efficacy of PRISTINE: Revealing Concealed Opioid Crisis Trends via Reddit Examination
Authors: Alhamadani Abdulaziz , Sarkar Shailik , Behal Srishti , Alkulaib Lulwah , Lu Chang-Tien 
Published: April 2023

Abstract

This work is an extension of our previous efforts to combat the drug abuse epidemic which has been on the rise in the past few years []. We expand our developed framework PRISTINE ((opioid crisis detection on reddit)) to investigate the effectiveness of the framework on detecting opioids crisis trends on an expanded dataset from the two subreddits r/dugs and r/opiates. In this endeavor, we demonstrate the effectiveness of utilizing the DQE algorithm in identifying drug-related and evolving drug terms. we conduct comprehensive case studies for the seven drug categories and showcase the most associated keywords for each drug class and their slang/street names. In addition, we provide a case study on one of the most significant opioid crisis contributors to drug overdose deaths in the United States. Our case studies revealed hard-to-find drugrelated terms which we hope to contribute to mitigating this crisis. We additionally include a new analysis to investigate the efficacy of applying PRISTINE in categorizing subreddits into fine-grained drug classes. The new analysis includes a case study that classifies anonymized and lengthy subreddit comments into their correct drug class. The analysis shows the strong performance of PRISTINE and demonstrates that the framework can be applied to a wide range of subreddit comments. We finally include the performed extensive experiments to show the effectiveness of the overall performance of the proposed framework.
Identifying large-scale terrace landscape pattern in the Loess Plateau of China: A new approach based on DEM and land use data
Authors: Shi Yu , Wei Wei 
Published: April 2023

Abstract
The historic significance and development value of terracing is extremely important, which is an unavoidable requirement to ensure national agricultural production and to restore the soil environment. Effective capture of spatial information from large-scale terrace areas can provide data reference and support for macro-planning, timely management and decision making in terrace construction. Overcoming the limitation that remote sensing cannot effectively expand temporal and spatial scales, in this study, we present a novel method for rapidly identifying large-scale spatial patterns of terraces over multiple time periods. Based on the decision tree (DT) model algorithm, this paper took the existing research results as the sampling data of terraces, combined digital elevation model and land use data, and excavated the rules of terrace identification. The spatial distribution of terraces in the Loess Plateau from 1990 to 2020 was then analyzed visually, based on the terrace recognition rules, and its accuracy was checked against the existing literature. Overall, the results show that terrace recognition rules based on the DT model can effectively identify cultivated and grassy terraces with AUC values greater than 0.7. Furthermore, the kappa coefficients for the cultivated and grass terraces, which were 0.92 and 0.86, were in agreement with the sampling data. Between 1990 and 2020, cultivated terrace area decreased and patch distribution remained patchy, as the area of the grassy terraces increased and the plots continued to aggregate. Once verified, the overall effect of the terrace identification results is substantial, and there is no significant departure from the relevant literature. The aim of this study is to explore an efficient identification method to capture information on the spatial distribution of terraces at a macro scale, providing a new approach to quantitative terrace research from a large-scale perspective.
Blocking the FAM19A5-LRRC4B complex enhances neurite growth and synapse assembly.(science ver.)
Authors: Seong Jae Young 
Published: April 2023

Abstract
Disruption in the dynamic balance of the synapse build-and-removal process is a major cause of neurological diseases, although the mechanisms underlying how the brain fine-tunes and balances this process remain poorly understood. Here, we demonstrate that FAM19A5 binds to the postsynaptic adhesion molecule LRRC4B and suppresses interaction between LRRC4B and presynaptic PTPRF, suggesting a role of FAM19A5 in synapse assembly. Decoys with the FAM19A5 binding (FB) domain redirect FAM19A5, promoting synapse formation. The anti-FAM19A5 antibody NS101 disrupts the FAM19A5-LRRC4B complex, transferring FAM19A5 from the brain to the bloodstream, restoring synaptic integrity and improving cognitive function in Alzheimer's mouse models. Our findings suggest NS101 could be a therapeutic strategy for neurodegenerative diseases requiring regeneration of neurites and formation of new synapses.
The Green Walnut Husks Induces Apoptosis of Colorectal Cancer through Regulating
NLRC3/PI3K Pathway
Authors: Chen Chao , An Na , Pang Defeng , Cheng Yuanyuan , Chen Yingjie , Feng Xuefei , Lei Haoqi , He Wenqian , Yang Baofeng , Zhang Yan , Zhao Xin 
Published: April 2023

Background:
Colorectal cancer (CRC) is the most common type of gastrointestinal tumor, but the
available pharmacological treatment is insufficient. As a traditional Chinese medicine, the green walnut husks
(QLY) exhibit anti-inflammatory, analgesic, anti-bacterial and anti-tumor effects. However, the effects and
molecular mechanisms of QLY extracts on CRC were not yet made known.

Objective:
This study aims to provide efficient and low toxicity drugs for the treatment of CRC. The purpose of
this study is to explore the anti-CRC effect and mechanism of QLY, providing preliminary data support for clinical
research of QLY.

Methods:
Western blotting, Flow cytometry, immunofluorescence, Transwell, MTT, Cell proliferation assay,
and xenograft model were used to perform the research.

Results:
In this study, the potential of QLY to inhibit the proliferation, migration invasion and induce apoptosis
of the mouse colorectal cancer cell line CT26 in vitro was identified. The xenograft tumor model of CRC noted
that QLY suppressed tumor growth without sacrificing body weight in mice. In addition, QLY-induced apoptosis
in tumor cells through NLRC3/PI3K/AKT signaling pathway was revealed.

Conclusions:
QLY regulates the levels of mTOR, Bcl-2 and Bax by affecting the NLRC3/PI3K/AKT pathway
to promote apoptosis of tumor cells, suppressing cell proliferation, invasion and migration, and subsequently
preventing the progression of colon cancer.
Technological Advancement in ω-3 Fatty Acids: Their Therapeutic Functions
and Novel Delivery Strategies
Authors: Victor Francis , Rehman Kanwal , Akash Muhammad Sajid Hamid , Rasheed Sumbal , Imran Muhammad , Assiri Mohammed Ali 
Published: April 2023

Abstract:
Being an important dietary component, omega-3 (ω-3) fatty acids are essential polyunsaturated fatty
acids, which play a crucial role in the normal growth and development of an individual. ω-3 fatty acids have
been reported to possess therapeutic activities against several diseases, including cardiovascular, neurological,
cancer, etc. Due to the unsaturation, ω-3 fatty acids are highly reactive and prone to oxidation, which is the
biggest hurdle in their administration, as oxidation produces a foul smell and reduces their therapeutic efficacy.
Although numerous supplementation strategies have been developed to enhance the bioavailability, targeted
drug delivery, and therapeutic potential, the rate of compliance is low due to difficulty in swallowing and unpleasant
aftertaste. To cope with these problems, several novel drug delivery approaches have been developed,
which may be used as an alternative to enhance the effectiveness of ω-3 fatty acids when administered alone or
in combination therapy. This review focuses on how novel drug delivery approaches can be used to overcome
the ω-3 fatty acids stability issues and how to maximize its therapeutic activity.
Coumarin as a Privileged and Medicinally Important Scaffold in the
Treatment of Tuberculosis
Authors: Gupta Vaibhav , Ambatwar Ramesh , Bhanwala Neeru , Khatik Gopal L. 
Published: April 2023

Abstract:
Coumarin and its derivatives, which are abundant in nature, have a significant role in medicinal chemistry due to their ability to bind with different targets or receptors. In addition, these possess a wide range of biological activity. Thus coumarin-based scaffold has inspired even further research into coumarin and its substituted derivatives, allowing for the creation of a huge variety of structurally different substituted products. In recent, these were reported to have potent antitubercu-lar activity. Tuberculosis (TB) is a serious deadly infectious bacterial disease caused by gram-positive Mycobacterium tuberculosis. This review discusses various developments going on in the field of medicinal chemistry towards designing, synthesizing, and discovering coumarin-based an-titubercular agents all across the globe.