bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of Fruit Traits of Camellia oleifera after Grafting Based on Deep Neural Networks
Authors: Zhou Yuhuan , Long Wei , Du Jiayi , Lv Leyan , Wang Kailiang , Yang Fan 
Published: November 2023

Abstract
Background: Camellia oleifera, an essential woody oil tree in China, propagates through grafting. However, in production, it has been found that the interaction between rootstocks and scions may affect fruit characteristics. Therefore, it is necessary to predict fruit characteristics after grafting to identify suitable rootstock types.
Methods: This study used Deep Neural Network (DNN) methods to analyze the impact of 108 6-year-old grafting combinations on the characteristics of C.oleifera, including fruit and seed characteristics, and fatty acids. The prediction of characteristics changes after grafting was explored to provide technical support for the cultivation and screening of specialized rootstocks. After determining the unsaturated fat acids, palmitoleic acid C16:1, cis-11 eicosenoic acid C20:1, oleic acid C18:1, linoleic acid C18:2, linolenic acid C18:3, oil content, fruit height, fruit diameter, fresh fruit weight, peel thickness, fresh seed weight, and the number of fresh seeds, the DNN method was used to calculate and analyze the model. The model was screened using the comprehensive evaluation index of Mean Absolute Error (MAE) and time consumption.
Results: The results show that when using 32 neurons in two hidden layer, the artificial neural network model had a Mean Absolute Percentage Error (MAPE) of less than or equal to 16.30% on the verification set and less than or equal to 17.69% on the test set. Compared with traditional machine learning methods such as support vector machines and random forests, the DNN method demonstrated more accurate predictions for fruit phenotypic characteristics, with MAPE increase rates ranging from 0% to 28.06% and 0% to 9.23%. In conclusion, the DNN method developed in this study can effectively predict the oil content and fruit phenotypic characteristics of C. oleifera, providing a valuable tool for predicting the impact of grafting combinations on the fruit of C. oleifera.
Synthetic lethal combination of CHK1 and WEE1 inhibition for treatment of castration-resistant prostate cancer
Authors: Wang Qiming , Chao Yapeng , Chen Yuzhou , Zheng Wenxiao , Demanelis Kathryn , Liu Yu , Connelly Jaclyn , Wang Hong 
Published: November 2023

Abstract
WEE1 and CHEK1 (CHK1) kinases are critical regulators of the G2/M cell cycle checkpoint and DNA damage response pathways. The WEE1 inhibitor AZD1775 and the CHK1 inhibitor SRA737 are in clinical trials for various cancers, but have not been examined in prostate cancer, particularly castration-resistant (CRPC) and neuroendocrine prostate cancers (NEPC). Our data demonstrated elevated WEE1 and CHK1 expressions in CRPC/NEPC cell lines and patient samples. AZD1775 resulted in rapid and potent cell killing with comparable IC50s across different prostate cancer cell lines, while SRA737 displayed time-dependent progressive cell killing with 10- to 20-fold differences in IC50s. Notably, their combination synergistically reduced the viability of all CRPC cell lines and tumor spheroids in a concentration- and time-dependent manner. Importantly, in a transgenic mouse model of NEPC, both agents alone or in combination suppressed tumor growth, improved overall survival, and reduced the incidence of distant metastases, with SRA737 exhibiting remarkable single agent anticancer activity. Mechanistically, SRA737 synergized with AZD1775 by blocking AZD1775-induced feedback activation of CHK1 in prostate cancer cells, resulting in increased mitotic entry and accumulation of DNA damage. In summary, this preclinical study shows that CHK1 inhibitor SRA737 alone and its combination with AZD1775 offer potential effective treatments for CRPC and NEPC.
Link Prediction for Hypothesis Generation: An Active Curriculum Learning Infused Temporal Graph-Based Approach
Authors: Akujuobi Uchenna , Kumari Priyadarshini , Choi Jihun A. , Badreddine Samy , Maruyama Kana , Palaniappan Sucheendra K. , Besold Tarek R. 
Published: November 2023

Abstract

Over the last few years Literature-based Discovery (LBD) has regained popularity as a means to enhance the scientific research process. The resurgent interest has spurred the development of supervised and semi-supervised machine learning models aimed at making previously implicit connections between scientific concepts/entities explicit based on often extensive repositories of published literature. Understanding the temporally evolving interactions between these entities can provide valuable information for predicting the future development of entity relationships. However, existing methods often underutilize the latent information embedded in the temporal aspects of interaction data.
In this context, motivated by applications in the food domain—where we aim to connect nutritional information with health-related benefits—we address the hypothesis-generation problem using a temporal graph-based approach. Given that hypothesis generation involves predicting future (i.e., still to be discovered) entity connections, the ability to capture the dynamic evolution of connections over time is pivotal for a robust model. To address this, we introduce THiGER, a novel batch contrastive temporal node-pair embedding method. THiGER excels in providing a more expressive node-pair encoding by effectively harnessing node-pair relationships. Furthermore, we present THiGER-A, an incremental training approach that incorporates an active curriculum learning strategy to mitigate label bias arising from unobserved connections. By progressively training on increasingly challenging and high-utility samples, our approach significantly enhances the performance of the embedding model.
Empirical validation of our proposed method demonstrates its effectiveness on established temporal-graph benchmark datasets, as well as on real-world datasets within the food domain.
Probabilistic Dendritic Activation: A Neurophysiology-Inspired Hypothesis for Memory Retention in the Visual Cortex
Authors: Zhang Shizhuo , Fang Yue , Saini Sujata , Liu Qiong , Liu Wei 
Published: November 2023

Abstract
Artificial neural networks, particularly convolutional neural networks (CNNs), have shown remarkable performance in tasks like image classi- fication. However, their robustness under dendritic degradation remains a challenge. Inspired by neurophysiology, we propose a Probabilis- tic Dendritic Activation (PDA) method to improve CNNs’ resilience under dendritic degradation. Our method enhances memory retention in the visual cortex, even when a significant proportion of dendrites are randomly deactivated. We trained a CNN with PDA on the Ima- geNet dataset and observed a 7.5% and 1.6% improvement in Top-1 and Top-5 classification accuracies, respectively, under 50% random dendritic degradation. This study highlights the bidirectional contribu- tion between computational techniques and neurobiology, demonstrating the potential of PDA in enhancing neural network robustness and fostering a deeper understanding of biological neural systems’ resilience.
Perceived severity of diseases and meat consumption among university students
Authors: Kiggwe Musa , Ntayi Joseph , Nabatanzi-Muyimba Annet K. , Byarugaba Jotham , Esemu Timothy , Munene John C. 
Published: November 2023

AbstractMany societies consider meat to be their favorite food choice. However, meat consumption is also associated with possible health complications. To minimize health complications, one may alter their meat consumption. A university student’s perceived severity of diseases may influence their meat consumption. However, few studies seem to have addressed this issue. Thus, this study aimed to investigate the relationship between the perceived severity of diseases and meat consumption among university students in Uganda. This study used a correlational survey that was mainly quantitative in nature. The study population comprised 59,998 university students in 2022. We selected a total sample of 403 students using proportionate stratified random sampling. We collected data through face-to-face interviews using a questionnaire. We analyzed the data using SPSS (V23) and AMOS (V23) software for correlational and Confirmatory factor tests. The results revealed that perceived severity had no significant influence on the meat consumption of university students.
Evaluation of Bank Erosion in the Ganges River, Bangladesh: An Integrated Geological, Geotechnical, and Hydrogeological Study
Authors: Preota Sumiaya Amin , Rahman M. Mostafizur , Mia Md. Bodruddoza , Hossain Farhad , Islam Shariful , Karim Saba 
Published: November 2023

Abstract
The purpose of the research was to integrateally characterize the erosional behavior of the Ganges riverbanks and understand the geological, geotechnical, and hydrological influence on bank erosion. The current study has used multi-temporal Landsat images spanning from 1973–2020 for planform analysis using Geographic Information System (GIS), geological fieldwork data, six standard penetration test (SPT) data, laboratory analysis, and slope stability model using SLIDE to understand geological-geotechnical factors and the influence of seasonal hydrological fluctuations on the bank erosion. GIS-based planform analysis identified the erosion-accretion rate and vulnerable areas for erosion. Results suggest that the intensity of bank erosion is higher at the outer meander bend, and the right bank is more erosion-prone than the left bank. Geological and geotechnical studies suggest that bank material types and their degree of cohesion control bank erosion. In the convex outer bend of the river, the helical flow erodes the non-cohesive sandy materials at the toe of the bank, hence, the upper clayey layer loses its strength and collapses, which is the main cause of the cantilever-type bank failure in this river. Results also suggest that the Factor of Safety (FS) is proportional to the difference between river water level (RWL) and groundwater level (GWL) in the uniformly graded high permeable soil. When the water level gradient shifts from GWL toward RWL, the FS of the bank slope decreases and collapses after reaching its critical point.
The influence of firm life cycle on firm risk-taking – Evidence of Vietnam
Authors: Ngo Nguyen-Quynh-Nhu , Nguyen Cam-Nguyen , Ngo Nguyen-Nhu-Ngoc , Nguyen Thanh-Khang 
Published: November 2023

Abstract

Our study investigates risk-taking behavior among Vietnamese listed companies during twenty years (2000 – 2020). We acknowledge that regardless stages of companies, firms have tendency to take more risks, and that risk-taking activities in the course of the introduction and maturity phases can have both negative and positive forces on current and future performance. Additionally, the paper explored the moderating forces of the Z-score and HHI Index on this relationship. The paper contributes to the state-of-the-art by supplying empirical evidence about the relation between corporate life phases and willingness to take risk in Vietnamese non-financial firms. It provides a firm life cycle methodology to aid managers in developing appropriate strategies and sheds new light on the moderating effects of Z-score as well as market competition on the link.
JEL Codes: G30, G32, G33
Anti-migratory Properties of Cryoprotective Isoliquiritigenin-zein
Phosphatidylcholine Nanoparticles Prevent Triple-negative Breast
Cancer through PI3K-mTOR and MMP2/9 Pathways
Authors: Xu Cong , Zhang Chen , Ganesan Kumar , Chen Qiu , Tang Hailin , Gao Fei , Liu Qingqing , Wu Jianming , Sui Yue , Li Peng , Zhang Jinming , Chen Jianping 
Published: November 2023

Introduction::
Triple-negative breast cancer (TNBC), an aggressive type of
breast cancer, remains difficult to treat. Isoliquiritigenin (ISL) is a bioactive compound
that is insoluble in water and exhibits significant anti-TNBC activity.

Methods::
compound
that is insoluble in water and exhibits significant anti-TNBC activity. Method: We previously
prepared oral aqueous ISL@ZLH NPs; however, they were less stable in a freezing
environment. Hence, the present study aimed to improve the stability of ISL@ZLH
NPs using cryoprotectants that can withstand long storage times and are effective in TNBC
treatment by creating an efficient oral drug delivery system. Freeze-dried ISL@ZLH
NP powder was prepared by solvent evaporation, followed by the addition of trehalose
and sucrose. The freeze-dried ISL@ZLH NP pow was optimized and characterized. The
anti-TNBC efficacy and pharmacokinetics of the ISL@ZLH NP-pow were examined in
plasma and organs, compared with those of aqueous ISL@ZLH NPs.

Result::
The ideal
particle size of the ISL@ZLH NP pow was 118 nm, which was not filtered out by the
glomerulus and allowed the drug to be delivered to the lesions more effectively. Cellular
uptake and biodistribution of the ISL@ZLH NP-pow in vivo and in vitro showed prolonged
storage in the organs. In addition, cryopreserved ISL@ZLH NP-treated tumors
showed significant anti-proliferative and anti-migratory effects through the downregulation
of the PI3K-Akt-mToR and MMP2/9 signaling pathways.

Conclusion::
These results
suggest that oral ingestion of cryopreserved ISL@ZLH NP has the potential for longterm
storage and can be employed as a clinical therapeutic approach to treat TNBC.
Comprehensive scRNA-seq Analysis and Identification of CD8_+T
Cell Related Gene Markers for Predicting Prognosis and Drug
Resistance of Hepatocellular Carcinoma
Authors: Cao Lu , Liu Muqi , Ma Xiaoqian , Rong Pengfei , Zhang Juan , Wang Wei 
Published: November 2023

Background:
Tumor heterogeneity of immune infiltration of cells plays a decisive
role in hepatocellular carcinoma (HCC) therapy response and prognosis. This
study investigated the effect of different subtypes of CD8+T cells on the HCC tumor microenvironment
about its prognosis.

Methods:
Single-cell RNA sequencing, transcriptome, and single-nucleotide variant data
from LUAD patients were obtained based on the GEO, TCGA, and HCCD18 databases.
CD8+ T cells-associated subtypes were identified by consensus clustering analysis,
and genes with the highest correlation with prognostic CD8+ T cell subtypes were identified
using WGCNA. The ssGSEA and ESTIMATE algorithms were used to calculate
pathway enrichment scores and immune cell infiltration levels between different subtypes.
Finally, the TIDE algorithm, CYT score, and tumor responsiveness score were utilized
to predict patient response to immunotherapy.

Results:
We defined 3 CD8+T cell clusters (CD8_0, CD8_1, CD8_2) based on the scRNA-
seq dataset (GSE149614). Among, CD8_2 was prognosis-related risk factor with
HCC. We screened 30 prognosis genes from CD8_2, and identified 3 molecular subtypes
(clust1, clust2, clust3). Clust1 had better survival outcomes, higher gene mutation,
and enhanced immune infiltration. Furthermore, we identified a 12 genes signature (including
CYP7A1, SPP1, MSC, CXCL8, CXCL1, GCNT3, TMEM45A, SPP2, ME1, TSPAN13,
S100A9, and NQO1) with excellent prediction performance for HCC prognosis.
In addition, High-score patients with higher immune infiltration benefited less from
immunotherapy. The sensitivity of low-score patients to multiple drugs including
Parthenolide and Shikonin was significantly higher than that of high-score patients.
Moreover, high-score patients had increased oxidative stress pathways scores, and the
RiskScore was closely associated with oxidative stress pathways scores. And the nomogram
had good clinical utility.

Conclusion:
To predict the survival outcome and immunotherapy response for HCC, we
developed a 12-gene signature based on the heterogeneity of the CD8+ T cells.
High-Resolution Profiling of Head and Neck Squamous Cells
Carcinoma Identifies Specific Biomarkers and Expression Subtypes
of Clinically Relevant Vulnerabilities
Authors: Zhu Yingying , Peng Bi , Luo Xiaoxiao , Sun Wei , Liu Dongbo , Li Na , Qiu Ping , Long Guoxian 
Published: November 2023

Background:
Head and neck squamous cell carcinoma (HNSC) is the seventh
most common cancer worldwide. Although there are several options for the treatment
of HNSC, there is still a lack of better biomarkers to accurately predict the response
to treatment and thus be more able to correctly treat the therapeutic modality.

Methods:
First, we typed cases from the TCGA-HNSC cohort into subtypes by a Bayesian
non-negative matrix factorization (BayesNMF)-based consensus clustering approach.
Subsequently, genomic and proteomic data from HNSC cell lines were integrated
to identify biomarkers of response to targeted therapies and immunotherapies. Finally,
associations between HNSC subtypes and CD8 T-cell-associated effector molecules,
common immune checkpoint genes, were compared to assess the potential of HNSC subtypes
as clinically predictive immune checkpoint blockade therapy.

Results:
The 500 HNSC cases from TCGA were put through a consensus clustering approach
to identify six HNSC expression subtypes. In addition, subtypes with unique proteomics
and dependency profiles were defined based on HNSC cell line histology and
proteomics data. Subtype 4 (S4) exhibits hyperproliferative and hyperimmune properties,
and S4-associated cell lines show specific vulnerability to ADAT2, EIF5AL1, and
PAK2. PD-L1 and CASP1 inhibitors have therapeutic potential in S4, and we have also
demonstrated that S4 is more responsive to immune checkpoint blockade therapy.

Conclusion:
Overall, our HNSC typing approach identified robust tumor-expressing subtypes,
and data from multiple screens also revealed subtype-specific biology and vulnerabilities.
These HNSC expression subtypes and their biomarkers will help develop more
effective therapeutic strategies.
The Protective Effect of SLNP on Hepatic Fibrosis Induced by Thioacetamide
in Rats
Authors: Wu Lizhen , Liu Jinying , Zheng Chongbo , Ma Haijuan , Cao Xingling , Huang Zhihua , Tian Keqiang 
Published: November 2023

Introduction:
The incidence of non-alcoholic fatty liver disease (NAFLD) has increased in recent
years. Hepatic fibrosis (HF) is an important step in the progression of NAFLD to cirrhosis and even carcinoma
and is also recognized as a possible reversal phase.

Aims:
We previously found that the aqueous extract of Sedum Lineare Thunb. has hepatoprotective effects.
This study investigated the hepatoprotective effect and mechanism of the Sedum Lineare Thunb. n-butanol
phase (SLNP) on HF in rats.

Methods:
Animals were intraperitoneally injected with thioacetamide solution twice a week for 8 weeks to prepare
an HF model and were administered the corresponding drugs or an equal volume of normal saline by intragastric
administration once a day for 8 weeks. Liver function, hydroxyproline and malondialdehyde (MDA)
content, superoxide dismutase (SOD), Na+-K+-ATPase, and Ca2+-Mg2+-ATPase were analyzed using colorimetric
methods. Moreover, mRNA expression and protein levels in the liver tissue were detected via quantitative
polymerase chain reaction and western blotting, respectively.

Results:
The results showed that SLNP could effectively improve the liver function of rats with HF and significantly
reduce the content of hydroxyproline; the mRNA expression and protein levels of alpha-smooth muscle
actin (α-SMA), collagen I, III, and IV, transforming growth factor beta 1 (TGF-β1), Smad2/3, and Smad4
were also significantly reduced. Simultaneously, SLNP significantly increased the activities of SOD, Na+-K+-
ATPase, and Ca2+-Mg2+-ATPase in the rat liver tissues, whereas it reduced the levels of MDA and SOD in the
serum and liver tissues.

Conclusion:
This study revealed that SLNP elicits an anti-fibrotic effect by inhibiting oxidative stress and stellate
cell activation, thereby reducing the formation and deposition of the extracellular matrix. The TGF-β1/Smads
signaling pathway may be involved in this process
Exploring the Therapeutic Potential of Chalcones in Oncology: A
Comprehensive Review
Authors: Yadav Chandra Shekhar , Azad Iqbal , Khan Abdul Rahman , Ahmad Naseem , Gupta Shishir Kumar , Verma Vijay Kumar , Hansda Dhananjoy , Lohani Minaxi B. 
Published: November 2023

Abstract:
Chalcone is a bioactive flavonoid contained in various plants such as Angelica archangelica,
Pueraria lobata, and Glycyrrhiza glabra. It has been studied extensively in the field of
pharmaceutical sciences due to its significant role in therapeutic potential including antibacterial,
antiinflammatory, analgesic, cytotoxic, and anti-tumour properties. A plenty of study indicated
numerous chalcone derivatives exhibit enhanced potency and reduced toxicity as compared to
natural analogues. In this review, we introduce chalcone and its various derivatives including 1-
naphthylacetophenone, 2-benzimidazolyl, 2-furoyloxy, 3-(furan-2-yl)pyrazol-4-yl, 4'-alkoxy, 4-
anilinoquinolinyl, 4-aryloxyquinazolines, acridine, benzamide, benzenesulfonamide, bischalcone,
cinnamoylthiazoles, D-glucosyl azides, dialkylamino, dihydropyrimidinone, indole,
isoquinoline, ligustrazine, morpholinothiazole, naphthalene, quinoline, sulphonamide, thiazoleimidazopyridine,
thienyl, thiophene, triazines, triazole-benzimidazole, tri-methoxyphenyl, and α-
trifluoromethyl hybrids and display their promising activity against various cancer cell lines, such
as breast cancer, prostate cancer, colon cancer, lung cancer, cervical cancer, and liver cancer.
Anti-angiogenic Potential of Trans-chalcone in an In Vivo Chick
Chorioallantoic Membrane Model: An ATP Antagonist to VEGFR with
Predicted Blood-brain Barrier Permeability
Authors: Senrung Anna , Tripathi Tanya , Aggarwal Nikita , Janjua Divya , Chhokar Arun , Yadav Joni , Chaudhary Apoorva , Thakur Kulbhushan , Singh Tejveer , Bharti Alok Chandra 
Published: November 2023

Background::
Glioblastoma multiforme (GBM) is characterized by massive tumorinduced
angiogenesis aiding tumorigenesis. Vascular endothelial growth factor A (VEGF-A) via
VEGF receptor 2 (VEGFR-2) constitutes majorly to drive this process. Putting a halt to tumordriven
angiogenesis is a major clinical challenge, and the blood-brain barrier (BBB) is the prime
bottleneck in GBM treatment. Several phytochemicals show promising antiangiogenic activity
across different models, but their ability to cross BBB remains unexplored.

Methods::
We screened over 99 phytochemicals having anti-angiogenic properties reported in the
literature and evaluated them for their BBB permeability, molecular interaction with VEGFR-2
domains, ECD2-3 (extracellular domains 2-3) and TKD (tyrosine kinase domain) at VEGF-A
and ATP binding site, cell membrane permeability, and hepatotoxicity using in silico tools. Furthermore,
the anti-angiogenic activity of predicted lead Trans-Chalcone (TC) was evaluated in
the chick chorioallantoic membrane.

Results::
Out of 99 phytochemicals, 35 showed an efficient ability to cross BBB with a probability
score of > 0.8. Docking studies revealed 30 phytochemicals crossing benchmark binding affinity
< -6.4 kcal/mol of TKD with the native ligand ATP alone. Out of 30 phytochemicals, 12
showed moderate to low hepatotoxicity, and 5 showed a violation of Lipinski’s rule of five. Our
in silico analysis predicted TC as a BBB permeable anti-angiogenic compound for use in GBM
therapy. TC reduced vascularization in the CAM model, which was associated with the downregulation
of VEGFR-2 transcript expression.

Conclusion::
The present study showed TC to possess anti-angiogenic potential via the inhibition
of VEGFR-2. In addition, the study predicted TC to cross BBB as well as a safe alternative for
GBM therapy, which needs further investigation.