bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of Sugarcane QTLs for Tillering and stalks Quality through a Two-Way Pseudo-Testcross
Authors: Fang Junteng , Chen Xinglong , Chachar Zaid , Fan Lina , Lin Huanzhang , Cai Weijun , Su Yueping , Chen Weiwei , Xue Xiaoming , Li Yucong , Lai Ruiqiang , Xu Liping , Chachar Sadaruddin , Li Xuhui , Qi Yongwen 
Published: November 2023

Abstract
Sugarcane is grown worldwide from cultivars with complex genetic constitutions. Tillers and effective stalks are important agronomic traits of sugarcane that play important roles in yield. Using a two-way pseudo-testcross mapping strategy, we obtained a total of 172 F1 population of Yuenong73-204 (low tillering sugarcane variety) × CP72-1210 (ultra-high tillering germplasm), then, a total length of 1578.04 cM genetic map was constructed using 572 polymorphism SNPs genotyped by chip array. In addition, sprouts, tillers, and effective stalks of the F1 population were collected from four different environments. The total number of sprouts and tillers and the number of effective stalks were significantly positively correlated. The broad-sense heritability of tiller rate and effective stalk ranged 0.44, from 0.74. Quantitative trait loci (QTL) mapping showed 5 QTLs associated with tillers and 5 QTLs associated with effective stalks, one of which was identified in at least two environments. The phenotypic contribution rates of these (QTLs) ranged from 7.7–11.1% for tillers and 5.6–10.7% for effective stalks. A total number of 23 candidate genes, including 5 transcription factors and 5 proteins, were further identified in these QTLs intervals, among which the C2H2 transcription factor and E3 ubiquitin-protein ligase were the most significantly expressed in tillers and the effective stalk. These findings provide a reference for the genetic improvement of tillers and effective stalks of sugarcane.
Synergetic enhancement of the electrical-thermal-mechanical properties of EPDM composites modified by Kaolin and BNNSs
Authors: Feng Hao , Deng Wenhao , Xiao Chenglong , Xu Zhuang , Li Guochang , Wei Yanhui , Zhu Yuanwei , Li Shengtao 
Published: November 2023

Abstract
Offshore wind power is clean energy with rapid growth in recent years. As a key part of wind turbines, improving the combination performance of wind turbine cable insulation has a crucial impact on the development of wind power systems. In this paper, kaolin is selected to improve the tensile strength of Ethylene-Propylene-Diene Monomer (EPDM) rubber, and Boron Nitride Nanosheeets (BNNSs) with good electrical insulation and thermal conductivity are co-doped into kaolin/EPDM to improve the breakdown strength and thermal conductivity of the composite. The results show that the properties of the composites are improved when the powders are doped into EPDM. When the kaolin doping amount is 30wt%, the dielectric properties and the mechanical properties are improved, but the breakdown strength has deteriorated. Based on 30wt% kaolin content, BNNSs are added to EPDM. The breakdown strength is improved. The breakdown strength of the 30wt% Kaolin/5wt%BNNSs co-doped EPDM is 83.33kV/mm. In addition, due to the synergistic effect between the two powders, the tensile strength of the composite is increased to 8.06MPa. Meanwhile, with the increase of BNNSs, the thermal conductivity of composite is improved. It increases to 1.247 W/(m⋅K) This work has important guiding significance for improving the combination performance of the wind turbine cable insulation.
‘Life became harder with COVID-19’: An exploration of grief, intensified hardships, and silver linings of COVID-19 among youth living in eThekwini district, South Africa
Authors: Closson Kalysha , Dong Erica , Zulu Bongiwe , Dietrich Janan J. , Zharima Campion , Jesson Julie , Pakhomova Tatiana , Beksinska Mags , Kaida Angela 
Published: November 2023

Abstract

Background
In South Africa, pervasive age and gender inequities have been exacerbated by the COVID-19 pandemic and public health response. We aimed to explore experiences of the COVID-19 pandemic among youth in eThekwini, South Africa.
Methods
Between December 2021-May 2022 we explored experiences of the COVID-19 pandemic on youth aged 16–24 residing in eThekwini, South Africa using open-ended responses to an online survey focused on understanding multi-levelled health and social impacts of the pandemic. Thematic analysis summarized open-ended responses to the question “Has the COVID-19 pandemic affected you in any other way you want to tell us about?”.
Results
Of 2,068 respondents, 256 (12.4%, median age = 22, 62.1% women or non-binary) completed the open-ended survey question (11% in isiZulu). Results were organized into three main themes encompassing 1) COVID-19-related overwhelming loss, fear, grief, and exacerbated mental and physical health concerns; 2) COVID-19-related intensified hardships, which contributed to financial, employment, food, educational, and relationship insecurities for individuals and households; and 3) positive impacts of the pandemic response, including the benefits of government policies and silver linings to government restrictions. South African youth experienced significant grief and multiple losses (e.g., death, income, job, and educational) during the COVID-19 pandemic.
Conclusions
We found that South African youth experienced significant grief and multiple losses (e.g., death, income, job, and educational) during the COVID-19 pandemic. Trauma-aware interventions that provide economic and educational opportunities must be included in post-COVID recovery efforts.
Network pharmacology, molecular docking, and dynamics analyses to predict the antiviral activityof ginger constituents against coronavirus infection
Authors: Samy Asmaa , Hassan Afnan , Hegazi Nisrine , Farid Mai , Elshafei Moustafa 
Published: November 2023

Abstract
Background: COVID-19 is a global pandemic that caused a dramatic loss of human life worldwide, leading to accelerated research for antiviral drug discovery. Herbal medicine is one of the most commonly used for of alternative medicine for prevention and treatment of many conditions including respiratory system diseases.
Methods: In this study, a computational pipeline was employed, including network pharmacology, molecular docking simulations, and molecular dynamics simulations, to analyze the common phytochemicals of ginger rhizomes and identify candidate constituents as viral inhibitors. Furthermore, experimental assays were performed to analyze the volatile and non-volatile compounds of ginger and to assess the antiviral activity of ginger oil and hydro-alcoholic extract.
Results: Network pharmacology analysis showed that ginger compounds target human genes that are involved in related cellular processes to the viral infection. Docking analysis highlighted five pungent compounds and zingiberenol as potential inhibitors for the main protease (Mpro), spike receptor-binding domain (RBD), and human angiotensin-converting enzyme 2 (ACE2). Finally, (6)-gingerdiacetate was selected for molecular dynamics (MD) simulations as it exhibited the best binding interactions and free energies over the three target proteins. Trajectories analysis of the three complexes showed that RBD and ACE2 complexes with the ligand preserved similar patterns of root mean square deviation (RMSD) and radius of gyration (Rg) values to their respective native structures. These pungent compounds contribute to the higher antiviral activity of ginger extract than HD oil with CC50 of 3.480 μg/ml and IC50 of 2.727 μg/ml.
Conclusion: Our study provides predictive insights that could be useful for development of anti-coronavirus drugs especially (6)-gingerdiacetate that may enhance the host immune response and block RBD binding to ACE2, thereby, inhibiting SARS-CoV-2 infection.
Prognostic value of combined assessment of cardiac autonomic system activity in appropriate cardioverter-defibrillator therapy prediction
Authors: Atabekov Tariel Abdilazimovich , Sazonova Svetlana I. , Khlynin Mikhail S. , Muslimova Elvira F. , Krivolapov Sergey N. , Kurlov Igor O. , Rebrova Tatiana Yu. , Mishkina Anna I. , Afanasiev Sergey A. , Batalov Roman E. , Popov Sergey V. 
Published: November 2023

Abstract
Objective.
This prospective study aimed to determine the prognostic value of the combined assessment of cardiac autonomic nervous system (CANS) activity in appropriate implanted cardioverter-defibrillator (ICD) therapy predicting in patients (pts) with coronary artery disease (CAD) during mid-term follow-up period after ICD implantation.
Methods.
We enrolled 45 pts with CAD and ICD implantation indications. Before ICD implantation CANS was assessed by using myocardium scintigraphy with iodine-123-metaiodobenzylguanidine (I-123-MIBG), heart rate variability (HRV) and erythrocyte membranes β-adrenoreactivity (EMA). Patients were grouped based on the presence of appropriate ICD therapy according to the device interrogation data during 30.0 months [28.0; 52.0] follow-up period.
Results.
The 1st group included 15 (33.3%) pts with appropriate ICD therapy, the 2nd group – 30 (66.7%) pts without appropriate ICD therapy. There were significant differences between groups in cardiac I-123-MIBG (p < 0.001), HRV (p < 0.05) and EMA (p < 0.001) indicators. In multivariate logistic regression summed I-123-MIBG score late (SSd) (odds ratio [OR] 1.5109; 95% confidence interval [CI] 1.0767–2.1203; p = 0.017), I-123-MIBG washout rate (WR) (OR 0.5810; 95% CI 0.3666–0.9207; p = 0.02) and standard deviation of average NN intervals (SDANN) (OR 1.1686; 95% CI 1.0140–1.3468; p = 0.03) were independent predictors of appropriate ICD therapy. Predictive model with using of indicators (SSd, WR and SDANN) combination showed that prognostic coefficient increase > 0.25 was associated with appropriate ICD therapy (AUC 0.982; p < 0.001).
Conclusion.
Combined CANS activity assessment is useful in prediction of appropriate ICD therapy in pts with CAD during mid-term follow-up period after ICD implantation.
Unraveling the Complex Relationships Between Anxiety, Depression, and Quality of Life in Schizophrenia: A Network Analysis Study
Authors: Tang Yanqing , Wang Yucheng , Deng Wei , Zhang Huanrui , Wu Peiyi , Zhou Yang , Li Zijia , Xin Yide , Xu Yixiao 
Published: November 2023

Abstract
Background
Schizophrenia, a debilitating mental disorder, impacts cognitive, behavioral, and emotional functions. Co-occurring anxiety and depression worsen its complexity and diminish patients' quality of life. This study uses a network analysis approach to explore the relationships among anxiety, depression, and quality of life in hospitalized schizophrenia patients.
Methods
Cross-sectional study on 1328 inpatients with schizophrenia. Data included demographics, clinical details, and self-reported depression (HAMD-17), anxiety (HAMA-14), and quality of life (SQLS-R4). Network analysis employed Gaussian graphical models and Lasso for sparse network estimation.
Results
The analysis revealed hopelessness as the central node in quality of life, emphasizing its role in overall well-being. Somatic anxiety emerged as the central node in depression, highlighting the need to address somatic symptoms. Sleep disturbances were prominent central nodes in anxiety, indicating the need for targeted interventions.
Discussion
This study provides valuable insights into the relationships between anxiety, depression, and quality of life in inpatient schizophrenia populations. Addressing key symptoms such as hopelessness, somatic anxiety, and sleep disturbances can significantly improve overall well-being. Integrated interventions for anxiety and depression, along with comprehensive strategies addressing psychosocial factors, are crucial for optimizing therapeutic outcomes and enhancing quality of life in individuals with schizophrenia.
Booster Disinfection Scheduling under Uncertainty in Water Distribution Systems: Approximate Robust Reformulation Approach
Authors: Boindala Sriman Pankaj , Jaykrishnan G , Ostfeld Avi 
Published: November 2023

Abstract
One key aspect of ensuring water safety in water distribution systems (WDS) is the controlled use of disinfectants like chlorine within these systems. The amount of disinfectant levels in WDS directly impacts the quality and safety of the water supplied to consumers thus chlorine/disinfectant regulation in WDS is paramount. An upper residual Chlorine limit controls the formation of disinfection by-products, while a lower residual Chlorine limit guarantees that the water remains free of organic contaminants. However, accurately modelling the Chlorine reaction in WDS is a complex task due to various influencing factors, including pipe material, pipe age, water pH, temperature, and more. The variability in the Chlorine reaction rate in WDS poses a significant challenge in accurately predicting water quality provided to the consumers and also affects the optimal scheduling of Chlorine booster injections. To ensure the water quality remains within the acceptable range, we consider the chlorine reaction rate as an uncertain parameter and propose an approximate robust reformulation approach for the booster chlorination scheduling problem. We utilize two benchmark WDS systems to perform rigorous testing and analysis of our methodology. The proposed approach provides a systematic and robust method to obtain chlorine injection scheduling that adheres to predefined aims to maintain safe water quality levels while considering the uncertain reaction rate coefficients to be within ellipsoidal uncertainty sets.
The Impact of Corporate Green Bond Issuance on Green Technology Innovation —— Evidence from the Guangdong-Hong Kong-Macao Greater Bay Area
Authors: Cai Xiaohan , Yan Bo 
Published: November 2023

Abstract
This paper uses a multi-period DID model to examine the impact of green bond issuance by listed companies in the Guangdong-Hong Kong-Macao Greater Bay Area on green technology innovation. The results show that the issuance of corporate green bonds has a positive effect on the number of green patent applications. This beneficial effect is achieved by easing financing constraints and investing more R&D funds in green technology innovation. The green technology innovation effect of green bonds issued by state-owned enterprises and enterprises in the pilot zones for green finance reform and innovations is stronger. By introducing the internal rate of return and coupon rate of green bonds into the baseline regression model, we find that green bond issuers can not only carry out green technology activities at a lower cost of capital, but also make investors willing to support green technology innovation projects at a lower return on investment. In addition, compared with enterprises that have not issued green bonds, green bond issuers can maintain stronger profitability when the annual number of green patent applications is between 0 and 6, and the growth rate of enterprise value will increase with the increase of green technology innovation.
A friendly pathological type of cervical carcinoma: Pure Cervical Adenoid Basal Cell Carcinoma: An asymptomatic case report and literature review
Authors: Li Mianmian , Su Xinhui , Huang Li , Fan Yao , Yang Xin , Zeng Zhen , Xu Xiaoyan 
Published: November 2023

Abstract
Background: Cervical adenoid basal cell carcinoma (CABCC) is a rare pathological type of cervical cancer. According to the statistics of the World Health Organization (WHO), CABCC accounts for less than 1% of all cervical carcinomas. Since the clinical symptoms of patients with pure CABCC are not typical unless there are other types of cervical cancer present, early diagnosis and treatment are of great importance.
Case Presentation: This report presents a case of pure cervical adenoid basal cell carcinoma without typical symptoms at the Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. The intention is to analyze its clinical features, morphology, and pathology, aiming to provide insights for a better understanding of the disease.
Discussion and Conclusion: Pure CABCC is a rare type of cervical cancer with a relatively favorable prognosis. However, regular cervical cancer screening remains highly significance for early detection and treatment.
Analysis of the actor-partner interdependence effect of social support on benefit finding in advanced lung cancer patients and caregivers
Authors: Zhao Mengjiao , Na Na , Xing Naijiao , Zhu Hua , Wu Guixia , Xu Guangyi , Jiang Yunxia 
Published: November 2023

Abstract
Purpose:The mental health of patients with advanced lung cancer and their primary caregivers may influence each other. This study used dyadic analyses to explore the dyadic effects of social support on benefit finding and whether hope level mediates the patient-caregiver dichotomy in advanced lung cancer.
Methods: 295 pairs of patients with advanced lung cancer and primary caregivers completed the Social Support Rating Scale (SSRS), the Herth Hope Index (HHI), and the Benefit Finding Scale (BFS). Dyadic analyses were conducted using structural equation modelling based on the actor-partner interdependence mediation model.
Results: The results indicated that for both patients and their primary caregivers, hope level mediated the actor effect of social support on benefit finding; social support was positively associated with hope level and further enhanced benefit finding. Regarding partner effects, primary caregivers' social support had a significant indirect effect on patients' benefit finding through patients' hope level.
Conclusion: There is an interaction between social support, hope level, and benefit finding in patients with advanced lung cancer and their primary caregivers. Healthcare professionals should be mindful of identifying vulnerable patients and caregivers with poorer social support and hope levels and develop effective targeted interventions to improve benefit finding for patients with advanced lung cancer and caregivers.
MS Faster-RCNN: A noval multi-scale feature fusion based object detection scheme
Authors: Sun Yibo , Liu Chenlei , Xu Bixiao , Gong Jin , Sun Zhe 
Published: November 2023

Abstract
Object detection technology identifies and locates instance objects in a givenimage or video. It is a critical direction in computer vision research, whichpromotes intelligent monitoring, face recognition, and image segmentation devel-opment. However, deep learning-based object detection models still have a lowdetection accuracy for small-scale objects. In this paper, we propose a novel objectdetection model based on an improved multi-scale feature fusion method namedMS-Faster R-CNN. We adopt an optimized multi-scale feature fusion on the basicarchitecture of Faster R-CNN. The strategy, combined with the Feature Pyra-mid Network(FPN), uses two links to complete the feature fusion, making thesemantics of the fused features richer and adapted to different scale objects. Inthe candidate box recommendation stage, we use the cascaded Region ProposalNetwork(RPN) and the optimized Non-Maximum Suppression(NMS) so that the candidate box of the small-scale object would not be over-suppressed. So the rec-ommendation efficiency of the candidate box will be improved. Finally, the Regionof Interest(ROI) Align pooling technology based on the bilinear interpolationmethod is considered to avoid the loss of accuracy caused by quantization. Exten-sive experiments show that our MS-Faster R-CNN scheme has better detectionaccuracy than other existing methods on three classic datasets: Pascal VOC2007,Pascal VOC2012 and Microsoft COCO.
Significant benefit of high-dose furmonertinib in the treatment of leptomeningeal metastases from non-small-cell lung cancer with EGFR ex19Del mutation: Two case reports and a literature review
Authors: Han Huan , Zhang xiao , Liu Xiao , Zhao Jiuzhou , Zhang Jianwei , Zhu Hui , Jiao Shuyue , Tang Hong 
Published: November 2023

Abstract
Background:
Leptomeningeal metastases (LMs) are a devastating metastatic complication of non-small-cell lung cancer (NSCLC). There is no standard treatment for epidermal growth factor receptor (EGFR) mutant NSCLC, and improving the clinical prognosis for patients with LMs has become an urgent problem in clinical treatment. Preclinical data suggest that third-generation epidermal growth factor tyrosine kinase inhibitors (EGFR-TKIs) have greater blood-brain barrier penetration than first- and second-generation EGFR-TKIs and can effectively inhibit central nervous system (CNS) metastases. Furmonertinib is a potent and irreversible third-generation EGFR-TKI. The parent drug and its metabolites can be distributed to brain tissue.
Case Description:
Here, we report for the first time that high-dose furmonertinib is not only effective in improving neurological symptoms caused by LMs, but also prolongs the survival time of patients. Side effects were limited but manageable. Following the diagnosis of LMs, genetic testing of blood or tissue samples from both patients resulted in the EGFR ex19del mutation. The first case was a 58-year-old woman with advanced lung adenocarcinoma. Furmonertinib (240mg/day) was given as initial treatment. The patient's neurological symptoms resolved significantly after 1 month, and she achieved complete response (CR) of the intracranial lesions after 10 months. In addition, the therapeutic effect has lasted for > 13 months and remained in close follow-up. The second case was a 69-year-old woman with advanced lung adenocarcinoma. She was treated with furmonertinib (160mg/day) as initial treatment and experienced immediate relief of neurological symptoms. The CNS response lasted >14 months and partial response (PR) was achieved. As of the last follow-up, iPFS, PFS and OS were not achieved in neither patient.
Conclusion: Furmonertinib may be an optional and effective management strategy for patients with NSCLC and EGFR-mutated LMs.
GNSS TEC and Swarm Satellites for the detection of Ionospheric Anomalies Possibly associated with 2018 Alaska Earthquake
Authors: Haider Zeeshan , Yan Jianguo , Shahzad Rasim , Naqvi Najam Abbas , Afzal Zohaib , Barriot Jean-Pierre 
Published: November 2023

Abstract

In the hunt for seismic precursors with GNSS to detect earthquake-related anomalies in ionosphere are proved as an effective strategy. One method is to use GNSS TEC to distinguish between seismic anomalies in ionosphere and anomalies induced by geo magnetic storm. In this study, TEC data of four GNSS sites near the epicenter of November 30, 2018, Alaska earthquake (Mw 7.1) are examined. We also examined the TEC from Swarm satellites during the local day and nighttime to further support the EQ-induced perturbations in ionosphere. One to six days before the major EQ, the GNSS stations' TEC displayed considerable disturbance positive anomalies crossing the upper bound. The GNSS TEC from the four stations near the EQ epicenter detected ionosphere perturbations in 1 to 6 days prior to the EQ. The swarm satellites TEC data also confirmed these findings. On the other hand, retrieving TEC from all GNSS sites during the EQ preparation phase and weak geo magnetic storm (Kp 4, Dst − 50 nT), we discover evidence of low-intensity anomalies in ionosphere 25–30 days prior to the major shock. Further research shows that EQ-induced TEC anomalies are considerable between UTC 17:30 and 23:00 and that the storm-induced TEC anomaly (caused by Dst = -50 nT and Kp 4) predominates in all GNSS stations between UTC 17:00 and 23:30. In the EQ preparation phase, all of these anomalies before the primary shock are helpful in separating seismic from geomagnetic storm anomalies. Additionally, using TEC monitoring, this work contributes to the growing lithosphere-ionosphere connection concept.