bluuebunny/crossref_metadata_2025_split huggingface dataset:
Postoperative Adjuvant Transarterial Chemoembolization Plus Immunotherapy for Solitary Huge Hepatocellular Carcinoma without Macrovascular Invasion
Authors: Huang Hongwei , Liao Wei , Zhang Kaiyue , Wang Hao , Mei Bin , Cheng Qi 
Published: November 2023

Abstract
Background and purpose
The prognosis of patients with huge hepatocellular carcinoma (huge HCC, diameter ≥ 10 cm) is poor owing to the high early recurrence rate. This study aimed to explore the clinical value of postoperative adjuvant transarterial chemoembolization (PA-TACE) plus programmed cell death-1 (PD-1) inhibitors for solitary huge HCC without macrovascular invasion.
Patients and methods
Data from consecutive solitary huge HCC patients without macrovascular invasion treated with hepatectomy during June 2017 and July 2022 were retrospectively collected. Baseline differences were balanced between huge HCC patients who underwent PA-TACE with (AIT group) or without PD-1 inhibitors (AT group) by propensity-score matching (PSM). We compared recurrence-free survival (RFS), overall survival (OS) and recurrence patterns between the two groups. Independent risk factors for RFS and OS were confirmed by Cox regression analysis.
Results
A total of 202 patients were enrolled and 46 pairs of patients in the AIT and AT groups were matched by PSM. The 1-year RFS in the AIT group was superior to that in the AT group (58.7% vs 32.6%, p = 0.016). The 1-year OS was 84.8% in the AIT group compared to 76.1% in the AT group (p = 0.25). Multivariable analysis demonstrated that combined therapy of PA-TACE plus PD-1 inhibitors was a protective factor related to 1-year RFS but not OS. There was no statistically significant difference in recurrence patterns between the two groups.
Conclusions
PA-TACE plus PD-1 inhibitors could improve short-term outcomes for huge HCC patients.
Prediction of Pollution Characteristics of Ceramic Double-Shed Insulators Based on Dimensionless Analysis
Authors: Lv Yukun , Chen Zeze , Wang Qian , Li Xiaojing , Wang Yuechi 
Published: November 2023

Abstract
Evaluating the accumulation of contamination on insulator surfaces plays a pivotal role in mitigating the occurrence of pollution flashover incidents. This paper takes the XWP2-160 porcelain double-shed insulator as the subject of study, and utilizes the COMSOL software to perform numerical simulations of the contamination accumulation characteristics. It investigates the influence of voltage, particle density, and spatial pollution concentration on contamination accumulation. Additionally, drawing upon the principles of dimensionless analysis, seven dimensionless parameters are established to comprehensively assess the contamination accumulation characteristics, and using the 1stOpt software, a functional expression representing the relationship between environmental variables and insulator contamination accumulation was obtained by fitting. The results reveal that: 1) with the voltage, particle density, and pollution concentration increase, the insulator's surface contamination level shows an increasing trend; 2) insulator contamination can be effectively characterized and predicted using seven dimensionless criteria, namely Lv, Re, Fr, NEHD, Cl, Cρ, and Cn; 3) the contamination criteria correlation, fitted using power functions, achieves a coefficient of determination (R²) of 0.98, with an average error of 4.1% between the prediction and validation data sets.
Appraisal of long-term rainfall trends and rainfall erosivity in diverse agroclimatic zones of Chhattisgarh state, India: Implication for soil and water conservation measures
Authors: Dash Ch. Jyotiprava , Yadav Prachi , Kumar Randhir , Patra Sitanshu Sekhar , Hombegowda H.C. , Adhikary Partha Pratim 
Published: November 2023

AbstractThis study delved into the trends of rainfall and rainfall erosivity (R-factor) over a span of 120 years (1901–2020) using monthly precipitation data from 16 stations in Chhattisgarh state, India. Various statistical methods including homogeneity tests, non-parametric trend tests, and Sen's slope estimator were employed to discern the trends and slope values. The results, at a 5% significance level, underscored a significant increasing trend in rainfall for the Bastar plateau, while the Chhattisgarh plains, Northern hills, and Chhattisgarh state exhibited a declining trend in annual rainfall. However, no specific trend was observed in pre- and post-monsoon seasons. During the winter season, the Bastar plateau, Northern hills, and Chhattisgarh state experienced declining rainfall, whereas the Chhattisgarh plains showed no discernible trend. Notably, the Northern hills exhibited the highest mean annual R-factor (12519.4 MJ mm ha-1 h-1 year-1), followed by the Chhattisgarh plains (11587.7 MJ mm ha-1 h-1 year-1) and the Bastar plateau (9633.5 MJ mm ha-1 h-1 year-1). On the broader scale, the annual R-factor trend for Chhattisgarh state indicated a decline, estimated at a rate of 0.74 MJ mm ha-1 h-1 year-1. This decline was attributed to a reduction in overall rainfall, although it's important to note that this decrease in R-factor doesn't necessarily signify a decline in soil erosion or soil health deterioration. To adapt to the varying rainfall patterns, it's imperative to implement region-specific measures that can effectively address both increasing and decreasing trends in rainfall. This targeted approach is crucial for sustainable management of soil erosion and preservation of soil health in the study area.
Classification and Identification of Tea Diseases Based on Improved YOLO V7 Model of MobileNeXt
Authors: Xia Yuxin , Yuan Wenxia , Zhang Shihao , Wang Qiaomei , Liu Xiaohui , Wang Houqiao , Wu Yamin , Yang Chunhua , Xu JiaYi , Li Lei , He Junjie , Cao Zhiyong , Wang Zejun , Zhao Zihua , Wang Baijuan 
Published: November 2023

Abstract
To overcome the constraints associated with conventional approaches used in the classification and detection of tea diseases, which are characterized by their limited accuracy and sluggish responsiveness, this study introduces an enhanced YOLOv7 lightweight model algorithm integrated with MobileNeXt. This refinement not only bolsters the model's capacity for extracting and processing features but also effectively lightens the computational load, expedites recognition, and integrates a dual-layer routing attention mechanism visual converter to enhance the capture of crucial details and textures within disease images. Consequently, these enhancements lead to improved model performance and computational efficiency, ensuring precise and rapid identification of tea diseases. Furthermore, this model incorporates the more appropriate SIoU as the loss function, mitigating losses, minimizing omissions, and reducing misclassifications, thus resulting in superior recognition, even in complex image backgrounds. Based on the training outcomes, the enhanced model attains Precision, Recall and mean Average Precision scores of 93.5%, 89.9%, and 92.1%, respectively, marking substantial enhancements of 5.06%, 2.16%, and 2.91% compared to the original YOLOv7 model. Additionally, the model's size is reduced by 19.12%, and its detection speed accelerates by 11.13%. This improved model excels in accurately and expediting.
A novel phage endolysin inactivates a wide range of Staphylococcus aureus and eliminates mono- and mixed-species biofilms associated with S. aureus
Authors: Rao Xiancai , Liu He , Wei Xuemei , Wang Zhefen , Huang Xiaonan , Li Mengyang , Hu Zhen , Zhang Kexin , Hu Qiwen , Peng Huagang , Shang Weilong , Yang Yi , Wang Yuting , Lu Shuguang 
Published: November 2023

Abstract
Staphylococcus aureus and its single or mixed biofilm infections seriously threaten global public health. Phage therapy, which uses active particles or phage-derived endolysins, has emerged as a promising alternative strategy to antibiotic treatment. However, high-efficient phage therapeutic regimens have yet to be established. In this study, we used a mixed-sample procedure to isolate phages against methicillin-resistant S. aureus (MRSA) XN108. We characterized a new phage, SYL, sequenced its genomes, and engineered its novel endolysin, LysSYL. LysSYL demonstrated stability under various conditions and exhibited a broader range of efficacy against staphylococcal strains than its parent phage (100% vs. 41.7%). Moreover, dynamic live/dead bacterial observation demonstrated that LysSYL could completely inactivate MRSA USA300 within 10 min. Scan and transmission electron microscopy revealed evident bacterial cell perforation and deformation. In addition, LysSYL displayed strong eradication activity against single- and mixed-species biofilms associated with S. aureus. It also had the ability to disrupt bacterial persisters, and it proved highly effective in eliminating persistent S. aureus when combined with vancomycin. Furthermore, LysSYL protected BALB/c mice from lethal S. aureus infections. A single-dose treatment with 50 mg/kg of LysSYL resulted in a dramatic reduction in bacterial loads in the blood, liver, spleen, lungs, and kidneys of a peritonitis mouse model, which resulted in rescuing 100% of mice challenged with 108 colony forming units of S. aureus USA300. Overall, the data provided in this study highlight the strong therapeutic potential of endolysin LysSYL in combating staphylococcal infections, including mono- and mixed-species biofilms related to S. aureus.
The role of the Trigeminocardiac Reflex in a Traumatic Brain Injury Death: Case Report
Authors: Radanović Dražen , Mirčić Uroš , Radnić Bojana , Elboursh Dušan , Bogosavljević Đurđina , Stanisavljević Jovana , Antonijević Jovana , Knežević Saša , Čukić Bojan , Pajić Srbislav 
Published: November 2023

Abstract
The trigeminocardiac reflex (TCR) is defined as sudden onset of parasympathetic dysrhythmias including hemodynamic irregularities, apnea, and gastric hypermotility during stimulation of sensory branches of the trigeminal nerve. Back in 1999 when TCR was first described as such, a clinical discussion on the establishment of terminology is ongoing. We present a case of a 31-year-old male patient who was admitted to the Emergency Department due to traumatic brain injury who died with clinical manifestations of TCR. TCR can be a red flag for neurosurgeons when treating patients with traumatic brain injury.
Association of serum albumin and left ventricular ejection fraction on all-cause mortality of patients with stable coronary artery disease
Authors: Zhang Hua , Qiu Shaodong , Chen Fei , Wang Xiaojun 
Published: November 2023

Abstract
Objective: To explore serum albumin (Alb) and left ventricular ejection fraction (LVEF) in predicting all-cause mortality (ACD) in patients with stable coronary artery disease (SCAD).
Method: Patients with SCAD were divided into 4 groups according to their Alb and LVEF levels. The KM curves were used to compare ACD among the four groups. ROC curves were used to compare the efficacy of predicting ACD among the combination of Alb and LVEF and either Alb or LVEF alone. Cox regression analysis identified the influencing factors of ACD in patients with SCAD and detected the correlation between Alb and LVEF.
Results: ACD occurred in 18 (8.9%) of 203 patients with SCAD, with an average follow-up of 26.53±14.34 months. In the K‒M analysis, the risk of ACD in the four groups ranged from high to low: Group A (26.7%)>Group B (17.6%)> Group D (0.9%) > Group C (0%, P<0.001). The ROC curve showed that the combination of Alb and LVEF (AUC=0.888) had better predictive value for ACD than either Alb (AUC=0.879) or LVEF alone (AUC=0.651), P<0.001. Multivariate Cox regression analysis showed that Alb ≤4 g/dL predicted ACD events after adjusting for baseline (HR: 12.16, 95% CI: 1.57 to 94.41; P =0.017) and treatment (HR: 19.36, 95% CI: 2.53-147.78, P =0.004). Alb was positively correlated with LVEF (r=0.22, P=0.002).
Conclusions: Alb combined with LVEF is more effective than a single index in predicting ACD in SCAD and could be used as a new model to judge the prognosis of SCAD.
CRISPR/Cas9-based genome-wide screening for Metastasis ability identifies FCGR1A regulating the metastatic process of ovarian cancer by targeting LSP1
Authors: Jiang Hui , Qi Yingying , Zhang Ting , Zhu Weiyan 
Published: November 2023

Abstract
Background: Metastasis is a main cause of death from ovarian cancer(OC). Screening key makers involved in OC metastasis can help to effectively detect early metastasis postoperatively. However, the role of FCGR1A involved in OC metastasis has yet to be fully established.
Methods: A genome-wide CRISPR/Cas9-based screening system was used to identify regulatory factor in metastasis. Expression of FCGR1A and LSP1 in the ovarian cancer cell lines was examined by quantitative real-time polymerase chain reaction (qRT-PCR).The functions of FCGR1A and LSP1 in OC cell migration, invasion and proliferation were determined using wound healing assay, transwell invasion assay and CKK8 assay. A transcription-activated library was used to identify the potential downstream gene of FCGR1A. FCGR1A expression was immunohistochemically detected and IRS scores were calculated.
Results: FCGR1A was upregulated in OC cells compared with normal ovarian cell. Downregulation of FCGR1A inhibited the metastasis, proliferation and EMT progression in OC cells in vitro and intraperitoneal metastasis in vivo.Moreover, Downregulation of FCGR1A accompanied with lower LSP1 expression. Overexpression of LSP1 partially reversed the tumor suppressive function caused by FCGR1A Downregulation. The higher FCGR1A expression level was related to metastasis, higher grade, higher stage, and lymph node metastasis of OC. Survival analysis suggested that the group with higher FCGR1A expression had a lower tumor-free survival rate and a lower overall survival rate than the group with low FCGR1A expression.
Conclusion: FCGR1Aenhances OC metastasis by regulating LSP1 and that FCGR1A is associated with poor prognosis, supporting FCGR1A as a potential predictive factor for detecting early metastasis postoperatively.
Tomato Leaf Disease Detection Using Convolutional Neural Network
Authors: Parvez Shamima , Uddin Md Ashraf , Islam Md Manowarul , Bharman Pallab , Talukder Md. Alamin 
Published: November 2023

Abstract
Leaf diseases pose a significant threat to crop production and profitability, particularly in the case of tomatoes, which are extensively cultivated worldwide. Early detection of these diseases is crucial to prevent significant crop losses. In this study, we propose a novel deep learning-based approach for disease detection and prediction in tomato plant leaves. Convolutional neural networks (CNNs) have emerged as the most effective deep learning algorithm for image classification tasks. Leveraging the power of CNNs, we employed a CNN architecture to detect and identify diseases in tomato leaf samples. The suitability of CNNs for detection and prediction tasks makes them an ideal choice for this study. Our dataset comprised 6,926 images of both healthy and diseased tomato plants obtained from the PlantVillage dataset. By training our CNN model on this dataset, we achieved a promising test accuracy of 98.39\%. This high accuracy demonstrates the effectiveness of our approach in accurately predicting the presence of diseases in tomato plant leaves. Through our study, we aim to contribute to the early detection and prevention of leaf diseases in tomato plants, ultimately improving crop productivity and ensuring the profitability of tomato cultivation.
Consequences of polypharmacy among the people living with dementia: a systematic review and meta-analysis
Authors: Talukdar Imdadul Haque , Saha Sanjib 
Published: November 2023

Abstract
Background
The objective of this systematic review and meta-analysis was to synthesise and summarise studies on the consequences of polypharmacy on people living with dementia (PwD), categorize the consequences, analyse the quality of the studies, and estimate pooled effect sizes of these consequences.
Methods
A systematic literature review was conducted following the PRISMA guideline. Covidence software was used for screening, study selection and data extraction. The quality of the selected studies was assessed using an adapted version of Newcastle-Ottawa Scale (NOS) scale. Random effect models were used to perform the meta-analyses and the heterogeneity among the studies was assessed by i2 statistics.
Results
Nineteen studies were selected for this review. The four most frequent consequences were: potentially inappropriate medication (PIM) (n = 6, 31.6%), hospitalisation (n = 4, 21%), adverse drug reaction (ADR) (n = 3, 15.8%), and mortality (n = 3, 15.8%), all of which were significantly associated with polypharmacy. The quality of the reviewed studies was fair to good quality (good, n = 13 and fair, n = 6). Meta-analysis was performed with five studies related to PIM and revealed that the odds of having PIM among the PwD exposed to polypharmacy was 2.93 times (95% CI: 2.24–3.82; I2 = 95.6%). Heterogeneity was observed in the selected studies with regards to study design, sample size, follow-up duration, adjustment of confounders, as well as definitions of polypharmacy and inconsistent tools for dementia diagnosis.
Conclusions
Polypharmacy is associated with PIM use, ADR, mortality and hospitalisation for PwD despite high heterogeneity among the studies in terms of polypharmacy definition and dementia diagnosis.
Prospero Registration Number: CRD42023404749
Sustainability of the Higher Educational Institute : a Systematic Literature Review and Future Research Directions
Authors: ghosh pravash 
Published: November 2023

Abstract
This paper critically synthesizes the present literature on sustainable institute over the past 9 years to explore the various constructs associated with it using the Antecedents, Decisions and Outcomes (ADO) model. It also determines both the research gaps and the future research directions. A systematic literature review process (SLR) as proposed by (Tranfield, Denyer, and Smart 2003) is followed. Applying the PRISMA framework, 84 full-text articles relevant to the sustainable institute (in business management) were extracted. This systematic review synthesizes the antecedents, decision processes and consequences of sustainable institute in the business management domain. This review illustrates the information of the most prominent authors, journals and countries. The most important contribution of this study is that it proposes a framework that explain the theoretical underpinning of sustainable institute. It also provides insights into how faculty level, student level, institute level and other factors influence sustainable institute. The study also identifies the major factors that lead to a sustainable institute and helps for the sustainable development of the institute in a holistic manner.
Biocontrol potential and mechanism of action of Bacillus tequilensis JK-11 against Bipolaris sorokiniana.
Authors: kang kun , Fan Junmin , Zhang Haotian , Chen Lulu , Lei yang , hu yuansen 
Published: November 2023

Abstract
Root rot of wheat, caused by the pathogen Bipolaris sorokiniana, has emerged as a major concern for wheat yield damage and food security in central China. Given their environmentally friendly nature, biological control methods are becoming increasingly popular. We conducted a study to assess the antagonistic effect of Bacillus tequilensis JK-11 on B. sorokiniana. Spore germination and mycelial dry weight of B. sorokiniana decreased by 84.9% and 80.63% after JK-11 culture filtrate treatment with a concentration of 20%. SEM observed significant damage to the microscopic morphology of B. sorokiniana cells, and LSCM observed significant apoptosis of B. sorokiniana mycelial cells in the treated group, in addition to changes in ergosterol and electrical conductivity suggesting elevated mycelial cell membrane permeability. In contrast to the untreated group, CF-treated B. sorokiniana cells showed significant DNA and mitochondrial damage and excessive accumulation of reactive oxygen species. The activities of antioxidant enzymes and key enzymes involved in metabolic processes were significantly impaired in mycelial cells treated with different concentrations of CF. Wheat potting experiments using JK-11 revealed its ability to stabilize wheat root colonization for a certain period. Moreover, the bacterial suspension of JK-11 had a significant impact on wheat root rot prevention post-irrigation. The study results suggest that JK-11 strain of B. tequilensis exhibits great potential for controlling wheat root rot and offers a fresh approach to wheat management.
Elevated CD56brightNK cell and IFNγ levels in the blood of children with common cold provides a clue for preventing COVID-19
Authors: Chen Zhanpeng , Chen Zhanpeng , Chen Zhanpeng , Chen Zhanpeng 
Published: November 2023

Abstract
Objective: We aim to detect and compare the levels of natural killer (NK) cells (CD56bright and CD56dim), interleukin (IL)18, interferon (IFN)α, and IFNγ in the blood of children with common colds and healthy children, in order to provide clues for the prevention of coronavirus disease 2019（COVID-19）at the current stage.
Study design: A total of 153 children, including 49 with common colds and 104 healthy children, were recruited for this cross-sectional study. The demographic characteristics and lifestyle habits of healthy children and children with common cold are similar. Peripheral venous blood samples were collected by professional nurses for flow cytometry analysis and cytokine determination.
Results: We found that compared to healthy children, children with common colds had significantly reduced forced vital capacity (FVC), and increased CD56brightNK cell ratio, and levels of serum IL18 and IFNγ (all P < 0.05). Linear regression analysis showed that the increase in IFNγ level was positively correlated with the increase in CD56brightNK cell, IFNα, and IL18 levels (all P < 0.05). The increase in CD56brightNK cell ratio was positively correlated with the increase in IFNγ and IL18 levels (all P < 0.05).
Conclusions: Children may resist common cold by increasing the levels of CD56brightNK cells, IFNγ, and IL18 in their blood, which could be the reason why children are more susceptible to common cold but exhibit stronger immunity against COVID-19. CD56brightNK cells may serve as a crucial breakthrough in addressing the current prevalence and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants.