bluuebunny/crossref_metadata_2025_split huggingface dataset:
Periplaneta Americana Extract CII-3 (PAE CII-3) Triggers the Aging of K562 Cells by Modulating SIRT1/TSC2/mTOR Molecules
Authors: Tang Ziyun , Wang Xuan , He Si-Yue , Zhou Yue , Zhang Chenggui , Liu Heng , Bi Ziying , Li Minrui 
Published: October 2023

Background:
Chronic myeloid leukemia (CML) is considered a type of hematopoietic
stem cell disease that affects the bone marrow and blood.

Objective:
This study aimed to investigate the possible role of the Periplaneta americana extract
CII-3 (PAE CII-3) in the aging of K562 cells.

Materials and Methods:
The proliferation and cell cycle of K562 cells were determined using the
CCK-8 assay and the cell cycle assay, respectively. K562 cells were stained with SA-β-Gal to evaluate cell aging. The mitochondrial membrane potential of K562 cells was detected with the JC-1 mitochondrial membrane potential assay kit. Telomerase activity was verified using the PCR assay. The
transcription of silencing information regulator 2 related enzyme 1 (SIRT1), TSC2, and the mTOR
gene were evaluated with RT-PCR assay. The expression of SIRT1, p-TSC2, and p-mTOR was examined using a Western blot assay.

Results:
PAE CII-3 at all concentrations (5, 10, 20, 40, 80, 160 µg/mL) demonstrated obvious inhibitory effects on K562 cell proliferation, among which 80 µg/mL showed the highest inhibitory effect.
PAE CII-3 significantly blocked the cell cycle and reduced the colony-forming unit (CFU) of K562
cells compared to those in the Control group (p < 0.001). PAE CII-3 markedly increased positive
SA-β-Gal staining K562 cells compared to the Control group (p < 0.001). PAE CII-3 significantly
reduced mitochondrial membrane potential and decreased TERT gene transcription in K562 cells
compared to those of the Control group (p < 0.001). The transcription of the SIRT1 gene (p < 0.01)
and the TCS2 gene (p < 0.001) was markedly decreased, and the transcription of the mTOR gene (p < 0.05) was significantly increased in K562 cells treated with PAE CII-3 compared to those of the
Control group. PAE CII-3 significantly decreased the expression of SIRT1 (p < 0.01) and p-TSC2 (p < 0.001) and upregulated the expression of p-mTOR (p < 0.01) in K562 cells compared to those of
the Control group.

Conclusion:
PAE CII-3 treatment could trigger aging in K562 cells by activating the
SIRT1/TSC2/mTOR signaling pathway. This study would provide a potential hypothesis of the
mechanism by which PAE CII-3 treatment induces the aging of chronic myeloid leukemia cells.
Upregulation of M6A Reader HNRNPA2B1 Associated with Poor Prognosis
and Tumor Progression in Lung Adenocarcinoma
Authors: Wang Wei , Li Shengwei 
Published: October 2023

Background:
Lung cancer is the most prevalent malignancy worldwide, and lung
adenocarcinoma (LUAD) accounts for a substantial proportion of all cases. N6-methyladenosine
(m6A) is the most frequent post-transcriptional modification in mRNAs that also plays a role in
cancer development. Heterogeneous nuclear ribonucleoprotein A2/B1 (HNRNPA2B1) is a
reader of m6A modification, which can affect tumor invasion, migration, and proliferation.

Objectives:
The purpose of this study was to explore the prognostic factors of LUAD based on
m6A through bioinformatics analysis.

Materials and Methods:
The expression levels and prognostic significance of HNRNPA2B1 in
LUAD were analyzed on the basis of data extracted from the UALCAN, GEPIA, NCBI-GEO,
Human Protein Atlas, STRING, miRDB, TargetScan, PROMO, Starbase, UCSC Xena browser,
TIMER, and TISIDB databases. HNRNPA2B1 protein and mRNA levels in several LUAD cell
lines were detected by western blotting and qRT-PCR. CCK8, wound-healing and transwell assays
were performed to evaluate the proliferation, invasion, and migration abilities of LUAD cells.

Results:
HNRNPA2B1 mRNA was found to be significantly overexpressed in LUAD tissues,
and its high levels correlated with poor OS and DFS. The genes co-expressed with HNRNPA2B1
were related to mRNA production, cell cycle, and histone binding. To determine the
mechanistic basis of HNRNPA2B1 in LUAD, we next predicted the microRNAs and transcription
factors that were directly associated with HNRNPA2B1, as well as copy number changes.
In addition, it was found that HNRNPA2B1 expression was significantly related to CD4+ T
cells, neutrophils, lymphocytes, immunomodulators, and chemokines. Besides, knocking down
HNRNPA2B1 in the LUAD cells led to a significant reduction in their proliferation, invasion,
and migration rates in vitro.

Conclusion:
Elevated HNRNPA2B1 is a risk factor in LUAD and portends a poor prognosis.
QLDTI: A Novel Reinforcement Learning-based Prediction Model for
Drug-Target Interaction
Authors: Gao Jie , Fu Qiming , Sun Jiacheng , Wang Yunzhe , Xia Youbing , Lu You , Wu Hongjie , Chen Jianping 
Published: October 2023

Background:
Predicting drug-target interaction (DTI) plays a crucial role in drug research
and development. More and more researchers pay attention to the problem of developing more powerful
prediction methods. Traditional DTI prediction methods are basically realized by biochemical experiments,
which are time-consuming, risky, and costly. Nowadays, DTI prediction is often solved by
using a single information source and a single model, or by combining some models, but the prediction
results are still not accurate enough.

Objective:
The study aimed to utilize existing data and machine learning models to integrate heterogeneous
data sources and different models, further improving the accuracy of DTI prediction.

Methods:
This paper has proposed a novel prediction method based on reinforcement learning, called
QLDTI (predicting drug-target interaction based on Q-learning), which can be mainly divided into
two parts: data fusion and model fusion. Firstly, it fuses the drug and target similarity matrices calculated
by different calculation methods through Q-learning. Secondly, the new similarity matrices are
inputted into five models, NRLMF, CMF, BLM-NII, NetLapRLS, and WNN-GIP, for further training.
Then, all sub-model weights are continuously optimized again by Q-learning, which can be used
to linearly weight all sub-model prediction results to output the final prediction result.

Results:
QLDTI achieved AUC accuracy of 99.04%, 99.12%, 98.28%, and 98.35% on E, NR, IC, and
GPCR datasets, respectively. Compared to the existing five models NRLMF, CMF, BLM-NII,
NetLapRLS, and WNN-GIP, the QLDTI method has achieved better results on four benchmark datasets
of E, NR, IC, and GPCR.

Conclusion:
Data fusion and model fusion have been proven effective for DTI prediction, further improving
the prediction accuracy of DTI.
A Comprehensive Review on Recent Advances and Patents of Niosomes
Authors: Verma Sushma , Saharawat Sakshi 
Published: October 2023

Abstract:
Niosomes are novel, self-assembled vesicular carriers that deliver both lipophilic and
hydrophilic drugs at the specific site in a targeted way, enhancing bioavailability and extending therapeutic
effects. Niosomes are a versatile drug delivery system with a diverse range of applications
from gene to brain-targeted delivery and they are more attractive choices than liposomes as they are
efficient at biodegrading. Niosome offers several advantages over conventional drug delivery systems,
including enhanced stability, and also have gained a lot of focus in natural product delivery in
recent years. This review provides a comprehensive view of niosomal research and recent advancements,
including classification and fabrication methods, and their role in drug delivery and targeting.
The description of the rise in niosomal formulation patents around the world is also elaborated along
with the natural product delivery of niosomes which has recently gained significance. Patents on novel
preparation, loading, and modification techniques have enhanced the importance of niosome in the
pharmaceutical industry.
Latest Patents for Endoscopic Cleaning, Disinfection Devices, and Lavage Fluid Collection and Filtration Devices
Authors: Bao Yudong , Dai Qiangqiang , Qu Shengqian , Li Xu 
Published: October 2023

Background:
With ageing, the population, and the increasing number of people with
compromised immunity, environmental problems are becoming increasingly severe. Infants and
older people are greatly affected by respiratory airway blockages, such as phlegm accumulation
leading to poor breathing or foreign bodies entering the body, thereby, increasingly complicating
respiratory infectious diseases, and raising the demand for endoscopes. The endoscope can observe the pathological conditions and morphological changes of human diseased tissues and carry
out corresponding ‘dredging". Endoscope lavage is an essential medical means to improve dyspnea and extract foreign bodies, so it has been widely used in medicine.

Objective:
To review the research status of the endoscope by combining the latest developments
and technologies of endoscope cleaning and disinfection systems, lavage collection, and filtration
systems in recent years (from 2015 to now) to achieve the purpose of continuous improvement
and optimization of the endoscope

Methods:
By analyzing the patent features of the endoscope in the cleaning and disinfecting system and the irrigation fluid collection and filtration system, it shows that there is a greater risk of
hospital cross-infection when the endoscope uses to make a diagnosis of a disease before it is applied to the human body and under direct vision, or when biopsy of a lesion is performed to make
a pathological diagnosis, which explains that it is necessary to clean and disinfect the medical endoscope and collect the irrigation fluid beforehand. At the same time, to reduce patients' pain by
performing only one irrigation procedure, it is crucial to filter the irrigation fluid to achieve a
more accurate examination of the irrigation fluid biopsy.

Results:
By comparing the main problems existing in the endoscope, to prospect the development
trend of the endoscope.

Conclusion:
By improving and optimizing the cleaning and disinfection system, the irrigation fluid collection, and the filtration system of the endoscope, the loopholes in the current technology
can be solved and made more practical.
Co-treatment of Astragaloside IV with Vitamin D in Diabetic Peripheral
Neuropathic Rats: Protective Effects and Potential Mechanisms
Authors: Tang Fengyan , Zhao Bo , Zhang Li , Raza Faisal , Zafar Hajra , Zhong Shao , Li Lin , Zhu Wenhua , Fang Lingna , Lu Bing , Shen Liwen , Guo Ping , Yu Nengxing , Li Quanmin 
Published: October 2023

Objective:
The potential mechanism underlying the protective effect of Astragaloside IV (AS-IV) co-treatment with 1, 25-dihydroxy-vitamin D (Vit-D) on
neuropathy in diabetic high-fat rats was investigated

Methods:
The rat diabetic hyperlipidemia (DH) model was established via streptozotocin and a high-fat diet (HFD). After co-treatment (of AS-IV and Vit-D
at respective doses of 50 mg/kg via oral gavage and 30000 IU/kg via intramuscular injection), blood glucose levels, markers of inflammation and
oxidative stress, as well as apoptosis and histopathology were evaluated with appropriate techniques.

Results:
Co-treatment could effectively reduce blood glucose levels substantially (p< 0.01), improve weight loss, and decrease oral glucose tolerance.
Reduced respective sensory and motor nerve conduction velocities in rats were substantially improved (p<0.01) after co-treatment. Also, we
observed obvious improvement in DH-induced injured nerve fiber myelin structure and other organ pathologies in co-treated rats. Besides, we
observed up-regulated expressions of peroxisomal-proliferator activated receptor-alpha (PPAR-α) and Vit-D receptors (VDR) (p< 0.01) through
the western blotting technique. Using the same technique, we also discovered reduced levels of interleukin (IL)1 beta, IL-6, and tumor necrosis
factor-alpha, coupled with increased IL-10 and superoxide dismutase levels (p< 0.01). Importantly, co-treatment could effectively exert antioxidative
and anti-inflammatory effects. Also, co-treatment resulted in the up-regulation of PPAR-α and VDR expressions, inhibition of the
renin–angiotensin–aldosterone system, and promotion of β-cell sensitivity to insulin.

Conclusion:
The combined application of AS-IV and Vit-D exhibited health effects such as anti-oxidation, regulation of inflammatory factors, and promotion of
cell repair, which may be considered as the mechanisms underlying treatment of diabetic peripheral neuropathy and improvement in biochemical
indicators.
Metabolic Reprogramming of Cancer Stem Cells and a Novel Eight-Gene
Metabolism-Related Risk Signature in Clear Cell Renal Carcinoma
Authors: Pang Lu , Hou Yanfeng , Wang Xin , Du Jialin , Huang Haiming , Yang Mingyu , Wang Sisi , An Chongwen , Meng Tao , Li Haixia 
Published: October 2023

Background::
Clear cell renal carcinoma (ccRCC) is one of the most common urological
tumors worldwide and metabolic reprogramming is its distinguishing feature. A systematic
study on the role of the metabolism-related genes in ccRCC cancer stem cells (CSCs) is
still lacking. Moreover, an effective metabolism-related prediction signature is urgently needed
to assess the prognosis of ccRCC patients.

Methods::
Gene expression profiles of GSE48550 and GSE84546 were analyzed for the role of
metabolism-related gene in ccRCC-CSCs. The GSE22541 dataset were used to construct and
validate an effective metabolism-related prediction signature to assess the prognosis of ccRCC
patients.

Results::
For glycolytic metabolism, we found that HKDC1, PFKM and LDHB were significantly
upregulated in ccRCC-CSCs in GSE84546. For TCA cycle, ACO1, SDHA and MDH1
were significantly downregulated in ccRCC-CSCs in both GSE48550 and GSE84546. For fatty
acid metabolism, CPT1A and ACACB were significantly upregulated in ccRCC-CSCs in
GSE84546. It is worth noting that SCD was significantly downregulated in both GSE48550 and
GSE84546. For glutamine metabolism, SLC1A5, GLS and GOT1 were significantly upregulated
in GSE84546. An eight-gene CSCs metabolism-related risk signature including HKDC1,
PFKM, LDHB, IDH1, OGDH, SDHA, GLS and GLUL were constructed to predict the overall
survival (OS) of ccRCC patients. Patients could be separated into two groups, and the patients
with lower risk scores had longer survival time.

Conclusion::
Our study indicated that metabolic reprogramming, including glycolytic metabolism,
TCA cycle, fatty acid metabolism and glutamine metabolism, is more obvious in CD105+
renal cells (GSE84546) than CD133+ renal cells (GSE48550). An eight-gene metabolismrelated
risk signature including HKDC1, PFKM, LDHB, IDH1, OGDH, SDHA, GLS and GLUL
can effectively predict OS in ccRCC.
MicroRNA Expression Profile in Early-Stage Breast Cancers
Authors: Patel Krishna , Rao Deva Magendhra , Sundersingh Shirley , Velusami Sridevi , Rajkumar Thangarajan , Nair Bipin , Pandey Akhilesh , Chatterjee Aditi , Mani Samson , Gowda Harsha 
Published: October 2023

Background::
Breast cancer is one of the leading causes of cancer deaths in women. Early diagnosis offers the best hope for a cure. Ductal carcinoma in situ is considered a precursor of invasive ductal carcinoma of the breast. In this study, we carried out microRNA sequencing from 7 ductal carcinoma in situ (DCIS), 6 infiltrating ductal carcinomas (IDC Stage IIA) with paired normal, and 5 unpaired normal breast tissue samples. We identified 76 miRNAs that were differentially expressed in DCIS and IDC.

Methods::
Additionally, we provide preliminary evidence of miR-365b-3p and miR-7-1-3p being overexpressed, and miR-6507-5p, miR-487b-3p, and miR-654-3p being downregulated in DCIS relative to normal breast tissue. We also identified a miRNA miR-766-3p that was overexpressed in early-stage IDCs. The overexpression of miR-301a-3p in DCIS and IDC was confirmed in 32 independent breast cancer tissue samples.

Results::
Higher expression of miR-301a-3p is associated with poor overall survival in The Can-cer Genome Atlas Breast Cancer (TCGA-BRCA) dataset, indicating that it may be associated with DCIS at high risk of progressing to IDC and warrants deeper investigation.

Conclusion::
We also analyzed competing endogenous networks associated with differentially expressed miRNAs and identified LRRC75A-AS1 and MAGI2-AS3 as lncRNAs that potentially play an important role in early-stage breast cancers.
Fault Identification Method of Transformer Winding based on Gramian
Angular Difference Field and Convolutional Neural Network
Authors: Yang Shihao , Li Zhenhua , Yang Xinqiang , Wu Hairong 
Published: October 2023

Background::
As the frequency of transformer winding faults becomes higher and
higher, the frequency response analysis used to detect the winding status has attracted more and
more attention. At present, there is still a lack of reliable and intelligent technologies for detecting
the state of transformer windings in this field.

Objective::
This paper focuses on studying a high-precision method for transformer fault diagnosis,
which can be easily and effectively applied to daily life.

Methods::
By changing the detection method, the traditional detection method can not distinguish
the problem that the detection data are highly overlapping when identifying the same
fault of the head and tail symmetric points, and the problem that the phase is too similar is
changed. In order to solve the problem that the fault samples of transformer frequency response
curve are scarce and the one-dimensional data cannot be read by partial deep learning
method, the one-dimensional data of frequency response curve is first converted into characteristic
index and then into a three-dimensional image by moving window calculation method
and Gramian Angular difference field transformation. The fault classification is realized by a
convolutional neural network.

Results::
The accuracy of the final model for slice classification reached 100%.

Conclusion::
Illustrative examples show that the method is distinguishable from different fault
types. The traditional method only uses the amplitude of the frequency response curve, but this
method displays the two features of the amplitude-phase together in the image. Compared with
the traditional method, more features and samples are added to further improve the accuracy of
the method. The accuracy of diagnosis results reached 100%, which showed the feasibility of
the method.
CherrySet -- A comprehensive dataset of three cherry trees throughout the 2023 season
Authors: Meyer Lukas , Gilson Andreas , Uhrmann Franz , Killer Annika , Scholz Oliver , Keil Fabian , Stamminger Marc , Kittemann Dominikus , Noack Patrick 
Published: October 2023

We present CherrySet, a comprehensive dataset comprising observations of
three cherry trees throughout an entire vegetation period. This
publication is part of the For5G: Digital Twin project, where we aim to
develop an end-to-end pipeline for the creation of digital twins in
horticulture, from data acquisition up to end-user applications. For
this purpose, we have developed a methodology for precise scanning and
capturing of high-resolution image data of trees using UAV technology.
Now we are releasing the dataset and preliminary findings of the 2023
season to encourage fellow researchers to leverage the data for their
own research and contribute to the scientific community.
CherrySet encompasses a collection of 2D images covering three sweet
cherry trees at 12 distinct time points, spanning from dormancy in March
through blooming and growth until harvest in July 2023. In addition to
the image data, CherrySet offers manually recorded ground truth
information obtained from reference branches throughout the growing
season, which includes comprehensive bud, blossoms and fruit counts
during all vegetation phases, as well as the total number of cherries
gathered at harvest. The combination of visual and ground truth trait
data allows insights into intra-seasonal analysis of tree and fruit
development, providing valuable data for conventional or AI based
follow-up research.
We are committed to refining our image acquisition pipeline and intend
to provide corresponding data for these trees throughout the 2024
season. This expansion will open up opportunities for inter-seasonal
research.
Daily patterns of fatigue after subarachnoid haemorrhage: an ecological momentary assessment study
Authors: De Vries Elisabeth A. , Heijenbrok-Kal Majanka H. , Van Kooten Fop , Giurgiu Marco , Ebner-Priemer Ulrich W. , Ribbers Gerard M. , Van den Berg-Emons Rita J.G. , Bussmann Johannes B. J. 
Published: October 2023

Objective: To examine the daily course of, and factors associated with, momentary fatigue after subarachnoid haemorrhage, and to explore subgroups of patients with distinct diurnal patterns of fatigue.
Design: Observational study using ecological momentary assessment.
Subjects: A total of 41 participants with subarachnoid haemorrhage.
Methods: Patients with fatigue were included within one year post-onset. Momentary fatigue (scale 1–7) was assessed with repeated measurements (10–11 times/day) during 7 consecutive days. Multilevel-mixed-model analyses and latent-class trajectory modelling were conducted.
Results: Mean (standard deviation; SD) age of the group was 53.9 (13.0) years, 56% female, and mean (SD) time post-subarachnoid haemorrhage onset was 9.3 (3.2) months. Mean (SD) momentary fatigue over all days was 3.22 (1.47). Fatigue increased significantly (p < 0.001) over the day, and experiencing more burden of fatigue and day type (working day vs weekend day) were significantly (p < 0.05) associated with higher momentary fatigue. Three subgroups could be distinguished based on diurnal patterns of fatigue. The largest group (n = 17, 41.5%) showed an increasing daily pattern of fatigue.
Conclusion: Momentary fatigue in patients with subarachnoid haemorrhage increases over the day, and diurnal patterns of fatigue differ between participants. In addition to conventional measures, momentary measures of fatigue might provide valuable information for physicians to optimize personalized management of fatigue after subarachnoid haemorrhage.
VIVÊNCIAS E SENTIDOS DAS INFÂNCIAS EM TEMPOS DE PANDEMIA NA AMAZÔNIA PARAENSE
Authors: Dos Santos Silva Erbio , Ferreira de Abreu Waldir , Ribeiro Correa Maria Francisca 
Published: October 2023

O texto ora apresentado é resultado de uma pesquisa realizada com estudantes dos anos iniciais das redes públicas (Abaetetuba e Belém-Mosqueiro no Pará). O texto é fundamentado em autores que debatem a concepção das infâncias, de desenvolvimento e aprendizagem A pesquisa foi realizada pelo Grupo de Estudos e Pesquisas em Educação Infância e Filosofia da UFPA em parceria com a Unidade SEDUC na Escola – USE 17. Durante o processo de captação de informações, ouviram-se 35 alunos no período mais denso da Pandemia de COVID 19 ainda em 2020. Os dados revelaram como as crianças estavam se sentindo, seus medos e perspectivas de futuro. Demonstraram ainda que 40% das crianças têm medo de pegar COVID e um pouco mais de 31% temiam pela morte dos pais. A pesquisa, portanto, nos revela que havia incertezas sobre o futuro. Desta forma, 51% dos investigados lamentaram pelo isolamento e pela falta de oportunidades de convivência social, produzida pelo distanciamento social.