bluuebunny/crossref_metadata_2025_split huggingface dataset:
La enseñanza de la memoria histórica del conflicto armado colombiano en la escuela Aproximación a un estado de la cuestión
Authors: Villa Gómez Juan David , López Gaviria Cecilia Inés 
Published: January 2025

Este texto tiene como finalidad presentar una revisión investigativa y teórica sobre la memoria histórica, particularmente del conflicto armado colombiano, en la enseñanza de las ciencias sociales en la escuela. El proceso de investigación desarrolló una revisión en las bases de datos Scopus, Redalyc, EBSCO, Sage, Taylor & Francis, Scielo y Dialnet. Se recolectaron 146 textos, de los cuales 93 conformaron el corpus del análisis, que se organizaron en las siguientes categorías: 1) relaciones entre la enseñanza de la memoria histórica y la ‘historia reciente’, en el marco de las ciencias sociales; 2) memoria de la historia reciente, desarrollada en los libros de texto; 3) políticas públicas de la memoria y políticas educativas sobre historia y memoria; 4) usos de la memoria colectiva, escuela e historia oficial; 5) sujetos de la memoria en la escuela: maestro y estudiante; 6) pedagogías de la memoria. Al final, la tensión entre memorias hegemónicas que portan los relatos de la historia oficial, y las memorias subalternas se resuelve por un lado con un vacío en la formación de los estudiantes o con la reproducción de discursos estereotipados, mientras los procesos de memoria desde la escuela siguen siendo marginales, aunque portan un sentido de resistencia y dignidad.
In-vitro, In-silico Investigations Reveals Potential Cytotoxic Activity of Fermentation Metabolites from Actinomycetes Isolated from Lonar Soda Lake Against HeLa Cancer Cell Lines
Authors: Bawane Pradip , Yele Santosh 
Published: January 2025

Background:
Actinomycetes, Gram-positive bacteria, are recognized for producing
bioactive metabolites. Lonar Soda Lake, an alkaline ecosystem, hosts diverse actinomycetes with
possible anticancer activities.

Aim:
To assess the cytotoxic potential of fermentation metabolites from actinomycetes isolated
from Lonar Soda Lake against HeLa cancer cells employing in-vitro and in-silico methods.

Objectives:
Evaluate the cytotoxicity of fermentation metabolites from Lonar Lake actinomycetes
on HeLa cells. Execute molecular docking to forecast metabolite connections with cancer-related
proteins.

Materials and Methods:
The actinomycetes were isolated from the sediment sample of Lonar
Lake using a selective medium and recognized by gene sequencing. Cytotoxicity on HeLa cells
was assessed using the MTT assay, in consort with oxidative stress and apoptotic markers (GSH,
MDA, TNF-α, and caspase 3). Molecular docking and molecular dynamics studies evaluated
metabolite binding to cancer-related proteins (Bcl-2, TNF-α, caspase 3).

Results:
Fermentation metabolites of three Lonar Lake Sediment isolates (LLSD), LLSD-5, LLSD-
7, and LLSD-9 showing promising cytotoxic activity against HeLa cell lines by MTT assay, also
significantly modulate the oxidative stress parameters (GSH, MDA), and cell apoptotic marker
(TNF-α, caspase 3). IC50 values were 82.9 μg/ml (LLSD-5), 162.3 μg/ml (LLSD-7), and 20.15
μg/ml (LLSD-9). Furthermore, molecular docking displayed robust binding affinities to cancer-related
proteins, uncovering the possible mechanism of action.

Conclusion:
The fermentation metabolites actinomycete isolates from Lonar Lake exhibit significant
cytotoxic activity against HeLa cancer cell lines. Both in-vitro and in-silico analyses support
the potential of these metabolites as anticancer agents.
KDM4A Silencing Reverses Cisplatin Resistance in Ovarian Cancer Cells by Reducing Mitophagy via SNCA Transcriptional Inactivation
Authors: Xing Yan , Mao Meiya , Zhu Tianhong , Shi Hongyan , Ding Huiqing 
Published: January 2025

Background:
Ovarian cancer is one of the deadliest gynecologic cancers,
with chemotherapy resistance as the greatest clinical challenge. Autophagy
occurrence is associated with cisplatin (DDP)-resistant ovarian cancer cells. Herein,
the role and mechanism of alpha-synuclein (SNCA), the autophagy-related gene, in
DDP resistance of ovarian cancer cells are explored.

Methods:
Differentially expressed genes in DDP resistance of ovarian cancer cells
were analyzed by GEO2R tools. DDP-resistant ovarian cancer cells (A2780/DDP)
were transfected and treated with 2.5 μg/mL DDP for 72 h, followed by the
determination of cell viability, proliferation, apoptosis, and expressions of SNCA, lysine
demethylase 4A (KDM4A), histone H3 lysine 9 trimethylation (H3K9me3), and
mitophagy-related proteins. The H3K9me3 demethylation of SNCA by KDM4A was
confirmed by chromatin immunoprecipitation.

Results:
SNCA and KDM4A were highly expressed in DDP-resistant ovarian cancer
cells and their parental cells. KDM4A knockdown diminished expressions of KDM4A
and SNCA and elevated H3K9me3 expression and H3K9me3 enrichment on SNCA
promoter in A2780/DDP cells. SNCA or KDM4A knockdown inhibited cell viability,
proliferation, and levels of LC3-II/LC3-I and Parkin while inducing cell apoptosis and
upregulating Cyt-C expression of A2780/DDP cells with/without DDP treatment;
however, SNCA overexpression not only did conversely but also reversed the effects
of KDM4A knockdown on DDP-treated A2780/DDP cells and vice versa.

Conclusion:
Silencing of KDM4A-mediated transcription inactivation of SNCA reduces
mitophagy, thus inhibiting the resistance of ovarian cancer cells to cisplatin. KDM4A
may be a promising drug target for DDP-resistant ovarian cancer cells.
Prognostic Value of Serum Bilirubin in Aneurysmal Subarachnoid
Hemorrhage Patients
Authors: Wang Ruoran , Luo Hongying , Xu Jianguo , He Min 
Published: January 2025

Background:
Bilirubin plays a crucial role in the pathophysiological processes of
strokes. However, the relationship between serum bilirubin levels and the prognosis of aneurysmal
subarachnoid hemorrhage (aSAH) remains unexplored. This study aims to investigate the
association between serum bilirubin levels and the mortality rate of aSAH patients.

Methods:
695 aSAH patients were included to analyze the relationship between direct bilirubin
(DBil), indirect bilirubin (IDBil), total bilirubin (TBil), and mortality. The univariate and multivariate
logistic regression were conducted to discover risk factors for the mortality of aSAH. The
restricted cubic spline (RCS) was used to show the correlation between DBil, IDBil, TBil, and
mortality. A logistic regression predictive model was developed by incorporating significant factors
in the multivariate logistic regression. The receiver operating characteristic (ROC) curve was plotted
to evaluate the predictive value of serum bilirubin and the developed predictive model.

Results:
139 aSAH patients suffered death, with a mortality of 20.0%. Non-survivors had older
age (p =0.007), lower GCS (p <0.001), higher Hunt Hess (p <0.001), and mFisher (p <0.001).
Both DBil (p <0.001) and TBil (p =0.011) were significantly higher among non-survivors. While
the IDBil did not show a difference between survivors and non-survivors. The multivariate analysis
found age (p =0.111), Glasgow Coma Scale (p =0.005), white blood cell (p <0.001), glucose (p
=0.004), DBil (p =0.001), delayed cerebral ischemia (p <0.001) were significantly related with the
mortality of aSAH. A logistic regression predictive model for mortality was developed incorporating
these five factors, which had an area under the ROC curve (AUC) of 0.876. The AUC of DBil,
IDBil, and TBil for predicting mortality was 0.607, 0.570, and 0.529, respectively.

Conclusion:
Serum DBil level is positively associated with the mortality risk of aSAH. The predictive
model incorporating DBil is beneficial for clinicians to evaluate the mortality risk of
aSAH and adopt personalized therapeutics.
Berberine Improves Glucose and Lipid Metabolism in Obese Mice through the Reduction of IRE1/GSK-3β Axis-Mediated Inflammation
Authors: Ding Lina , Xia Jingjing , Wang Hua , Qian Junyi , Jin Xiaodan , Yang Yang , Xia Jing , Shang Wenbin , Chen Ming 
Published: January 2025

Introduction:
Berberine (BBR) has the characteristics of repressing hyperglycemia,
obesity, and inflammation, as well as improving insulin resistance. However, the underlying mechanism
remains to be fully understood. This study explores whether BBR regulates inositol requiring
enzyme 1 (IRE1)/glycogen synthase kinase 3 beta (GSK-3β) axis to resist obesity-associated
inflammation, thereby improving glucolipid metabolism disorders.

Method:
Mice were fed a high-fat diet and administrated with BBR, followed by measurement of
weight change, biochemical indicators, as well as glucose and insulin tolerance. Insulin-resistant
3T3-L1 adipocyte models were established, and the model cells were treated with BBR and IRE1
inhibitors. Cell viability was detected by cell counting kit-8 assay. Inflammatory factor secretion
and glucose consumption were measured via specific kits. Oil red O staining was used to observe
lipid droplet formation, and protein expressions in the IRE1/GSK-3β axis were determined via
Western blot.

Results:
BBR reduced weight, insulin resistance, levels of triglyceride, total cholesterol, free fatty
acid, high-density lipoprotein, and low-density lipoprotein but improved glucose tolerance in
obese mice. BBR and IRE1 inhibitors demonstrated no cytotoxicity. BBR and IRE1 inhibitors diminished
secretion of tumor necrosis factor-alpha, interleukin-6, and monocyte chemoattractant
protein 1, lipid droplet formation, and values of p-IRE1/IRE1 and p-GSK-3β/GSK-3β, but elevated
glucose consumption in insulin-resistant adipocytes.

Conclusion:
BBR improves glucose and lipid metabolism in obese mice through the reduction of
IRE1/GSK-3β axis-mediated inflammation, showing the great potential of BBR in reversing insulin
resistance in obesity.
Identification of Programmed Cell Death-related Biomarkers for the Potential Diagnosis and Treatment of Osteoporosis
Authors: Huo Yancheng , Guo Meng , Li Yihan , Yao Xingchen , Tian Qingxian , Liu Tie 
Published: January 2025

Background:
Osteoporosis (OP) is a skeletal condition characterized by increased susceptibility
to fractures. Programmed cell death (PCD) is the orderly process of cells ending their
own life that has not been thoroughly explored in relation to OP.

Objective:
This study is to investigate PCD-related genes in OP, shedding light on potential mechanisms
underlying the disease.

Methods:
Public datasets (GSE56814 and GSE56815) were analyzed to identify differentially expressed
genes (DEGs). We employed the least absolute shrinkage and selection operator (LASSO),
Boruta, and random forest (RF) algorithms to pinpoint hub PCD-related genes in OP and construct
a predictive nomogram model. The performance of the model was validated through ROC
curve analysis, calibration curves, and decision curve analysis. Additionally, transcription factor
(TF) interaction analysis and functional enrichment analysis were conducted to explore the regulatory
networks and biological pathways involved.

Results:
We identified 161 DEGs, with 30 prominently associated with PCD. Five hub genes,
PDPK1, MAP1LC3B, ZFP36, DRAM1, and MPO, were highlighted as particularly significant. A
predictive nomogram integrating these genes demonstrated high accuracy (AUC) in forecasting
OP risk, with an AUC of 0.911 in the GSE56815 dataset. The validation confirmed the gene model
efficacy in differentiating OP risk and clinical applicability. The subsequent TF-gene interaction
analyses revealed that these hub genes are regulated by multiple TFs, indicating their central
role in OP pathology. Functional enrichment analysis of the hub genes indicated significant involvement
in apoptosis, autophagy, and immune response pathways.

result:
We identified 161 DEGs, with 30 prominently associated with PCD. Five hub genes, PDPK1, MAP1LC3B, ZFP36, DRAM1, and MPO, were highlighted as particularly significant. A predictive nomogram integrating these genes demonstrated high accuracy (AUC of 0.911 in dataset GSE56815) in forecasting OP risk. Validation confirmed the gene model&amp;#039;s efficacy in differentiating OP risk and clinical applicability.

Conclusion:
This study identified PDPK1, MAP1LC3B, ZFP36, DRAM1, and MPO as potential
biomarkers and proposes a nomogram based on hub genes for predicting osteoporosis risk.
Improving Renal Protection in Chronic Kidney Disease Associated with Type 2 Diabetes: The Role of Finerenone
Authors: Nugroho Pringgodigdo 
Published: January 2025

Abstract:
Chronic kidney disease (CKD) is a major complication of type 2 diabetes mellitus
(T2D), which often leads to diabetic kidney disease (DKD). Traditional therapies, including renin–
angiotensin–aldosterone system inhibitors and sodium–glucose cotransporter-2 inhibitors, are
effective in slowing CKD progression. However, these approaches are insufficient to comprehensively
inhibit mineralocorticoid receptor (MR) overactivation in the kidneys, which remains a significant
driver of inflammation, fibrosis, and oxidative stress. These pathological processes accelerate
kidney damage and cardiovascular complications. Finerenone—a nonsteroidal mineralocorticoid
receptor antagonist—represents a new frontier in renal protection. Unlike steroidal mineralocorticoid
antagonists (MRAs), finerenone offers a more selective MR blockade, reducing kidney
inflammation and fibrosis without significantly raising serum potassium levels. Landmark trials
have demonstrated the ability of finerenone to significantly reduce kidney and cardiovascular
events in patients with T2D and CKD. Clinical evidence has highlighted finerenone as an effective
option for slowing DKD progression while maintaining a favorable safety profile. Based on these
findings, recent guidelines have incorporated finerenone as a recommended therapy for patients
with T2D and CKD, emphasizing its role in reducing both renal and cardiovascular risks.
This review provides a comprehensive overview of the available data to offer a deeper understanding
of the potential of finerenone to transform CKD management for T2D patients.
Do SGLT2 Inhibitors Protect the Kidneys? An Alternative Explanation
Authors: Ilany Jacob 
Published: January 2025

Abstract:
SGLT2 inhibitors are a family of drugs that were developed to treat diabetes mellitus.
In randomized controlled trials, SGLT2 inhibitors seem to prevent kidney deterioration in patients
with nephropathies, both diabetic and non-diabetic. However, in contrast to biochemical/physiological
results (proteinuria and serum creatinine levels) that improve in all studies, the clinical results
(all-cause mortality, cardiovascular death, need for dialysis, or renal transplant) do not consistently
improve. In this article, the author would like to suggest that SGLT2 inhibitors do not, in
fact, prevent the progression of renal diseases but rather alter laboratory results. This study will
present a theory that gives an alternative explanation for the findings in the studies that would explain
the above discrepancy between biochemical/physiological and clinical results. In general,
the author claims that SGLT2 inhibitors change the kinetics of renal creatinine and microalbumin
excretion but do not prevent parenchymal adverse changes in kidneys. This causes a dissociation
between renal function markers (such as serum creatinine level and urinary protein) and the real
kidney function. Thus, the clinical renal prognosis does not improve despite seemingly better laboratory
results.
Beyond Traditional Remedies: Blue Tansy Oil’s Progressive Approach to Acne
Authors: Goyal Mayuri , Singh Indu , Chauhan Shikha Baghel 
Published: January 2025

Abstract:
Tansy oil, which is derived from the Tanacetum annuum plant, has shown great promise
as a therapeutic agent in aromatherapy and skincare because of its many uses. This study thoroughly
investigates the chemical makeup, extraction techniques, mechanisms of action, adjuvant qualities,
and incorporation of blue tansy oil into skincare regimens. Blue tansy oil's chemical profile reveals
the complexity of its composition, emphasizing important ingredients like myrcene, chamazulene,
sabinene, camphor, and others, each of which has a unique skincare advantage. The extraction
method of steam distillation is emphasized as a means of guaranteeing purity and potency. Differences
in composition resulting from growth site and extraction methods are also discussed. Comprehensive
knowledge of the therapeutic effects of blue tansy oil is made possible by insights into
the ingredients' mechanisms of action. One of the main ingredients, chamazulene, has strong antiinflammatory
properties. It is especially helpful in lowering the redness and inflammation linked to
acne. Beyond this, the oil's antibacterial, antioxidant, and analgesic qualities are enhanced by the
presence of sabinene, camphor, and myrcene. Blue Tansy oil has a broad range of adjuvant activities,
from antioxidant and calming benefits to anti-inflammatory and antibacterial qualities. Its potential
is investigated, offering chances for its incorporation into many therapeutic methods, including
support for skin health, stress relief, and scar reduction, among other benefits. The suggested
uses of blue tansy oil for skincare regimens include face masks, spot treatments, dilution, and
cleansing. It is important to conduct patch tests and follow recommended dosages to prevent negative
reactions. Upcoming research opportunities provide pathways for investigating pharmacological
impacts, safety characteristics, clinical effectiveness, formulation improvements, chemical analysis,
and comparative evaluations with alternative natural therapies. These studies seek to advance
our knowledge of the potential benefits of blue tansy oil and open the door for evidence-based
skincare and medical applications.
Intensified Image Retrivel System :Non-Linear Mutation Based Genetic Algorithm
Authors: S. Senthilvel  , G. Thailambal  
Published: January 2025

Globally, increasing amount of websites and data bases leads to utilization of enormous image data used in the system. The users interact with the images which are downloaded, stocked, uploaded and transmitting the data on regularly. Conversely, searching the particular images within the huge files and websites is the daunting problem. Traditionally, manual searching is not only time consuming but also less accurate process. Moreover, it requires the assistance of expertise for the image searching mechanism. To resolve the issue, an efficient IRS (Image Retrieval System) is needed for the users to automate the searching process. To address the issue, several conventional model attempted to achieve efficient IRS. However, existing researches limited in accuracy and speed. To overcome the limitations, proposed model utilized non-linear mutation updation based GA (Genetic Algorithm) for Reddit based IRS on eight classes. The GA is used for the capability of global optimization, parallelism and greater set of solution space. Nevertheless, it is sort by limited drawbacks such as unguided mutation, local extremum and convergence. To resolve the issue, non-linear mutation updation is added in the GA technique to improve the IRS efficiency. Moreover, VGG-16 algorithm is utilized for the feature extraction method to extract significant features from the data. Correspondingly, input data is acquired from the popular website called reddit which allows the users to upload and share images with the own post and comments of the users. The data is extracted through the API mechanism with the specific hashtag content. The performance of the proposed model is calculated using performance metrics in order to evaluate the IRS efficacy. Moreover, internal comparison is processed in the respective research to reveals the better efficiency of the proposed model.
"I Won't Buy This Product Again": The Boycott Determinants on Loyalty Using Animosity Model Approach
Authors: Dzikhrullah Harits Dijani , Vania Amelindha 
Published: January 2025

Objectives: The paper investigates the correlation between McDonald's consumption and protest actions in Indonesia, with a particular focus on customer loyalty, customer ethnocentrism, consumer efficacy, and war animosity.Methodology: This research used the animosity model technique and a sample of around 200 respondents, determined by purposive sampling methods. Data were analyzed using the PLS-SEM method with the help of SmartPLS 3.0 software.Finding: The research demonstrates that customer ethnocentrism, consumer efficacy, and war animosity have a positive impact on boycotts, however, boycotts have an important negative effect on loyalty.Conclusion: The research analyzes the viewpoints of McDonald's customers about the CEO's position on governmental interference in a foreign country, with a particular focus on the issue surrounding the company's product. Certain customers express their dissatisfaction, while others engage in a boycott of McDonald's to compel changes in company policies. The study is conducted in Aceh, a place renowned for its strong religious convictions, with a specific emphasis on the local responses to McDonald's conduct.
La reconfiguración educativa de YouTube: un análisis crítico del caso Mi Aula
Authors: Dughera Lucila , Dolcemascolo Agostina 
Published: January 2025

El avance de la industria educativa global y la plataformización de la educación, nos convocan a analizar el creciente proceso de reconfiguración y legitimación de la plataforma de videos YouTube como espacio educativo, sobre todo en la educación formal. Para esto abordamos Mi Aula, canal producto de la alianza entre la plataforma y UNESCO. A partir de dicho caso, nos proponemos producir evidencia empírica que contribuya a precisar cuáles son las consecuencias del avance de este tipo de plataformas en la educación. La metodología, de carácter cualitativo, se funda en el estudio del caso Mi Aula, junto con la revisión literaria, el análisis de fuentes secundarias y la observación no participante del canal. Los hallazgos más destacados señalan que, ante el avance de la plataformización, resulta necesario revisar cuestiones estructurales que atañen, por un lado, al acceso a los contenidos del canal por parte de los actores educativos, y, por otro, al funcionamiento y modelo de negocios de la plataforma.
Identifikasi Karakteritik Penebalan dan Jarak Antar-circuli pada Sisik Ikan Wader Bitik (Barbodes binotatus)
Authors: As'ari Hasyim , Kholisah Siti , Syukrya Vhita , Imamah Nur , Agustin Erina 
Published: January 2025

Sisik ikan umumnya berfungsi sebgai pelindung tubuh, mendukung pergerakan dan adaptasi lingkungan, juga dapat digunakan dalam identifikasi jenis ikan. Penelitian yang dilakukan difokuskan untuk mengidentifikasi karakteristik sisik pada ikan wader bitik (Barbodes binotatus), dengan untuk mengidentifikasi karakteritik permukaan sisik, serta mengetahui penebalan dan jarak antar circuli. Penelitian dilakukan dengan pengamatan langsung pada preparat basah pada sisik bagian dorsal, ventral, dan posterior (caudal) secara mikroskopik dengan perbesaran 40X dan 100X, dan dilakukan pemfotoan dengan skala ukur. Pengamatan penebalan dan jarak antar circuli dengan menggumakan aplikasi ImageJ versi 13.0.6. Hasil penelitian menunjukkan Bagian dosral dijumpai fokus dengan bentuk seperti sarang lebah, bagian ventral berbentuk seperti titik pusat bergranula, sedangkan bagian posterior tidak dijumpai fokus, namun terdapat garis celah lateral. Penebalan pada circuli rata-rata berkisar 60,81 μm, sedangkan jarak antar-circuli rata-rata dengan panjang 28,41 μm pada bagian ventral, 31,58 μm bagian posterior (caudal), dan 34,35 μm pada bagian dorsal. Kesimpulan penelitian adalah bentuk sisik B. binotatus yang ditemukan berbentuk square, oblonga, dan round, dengan rata-rata penebalan circuli 60,81 μm, dan jarak antar-circuli pada sisik bagian dorssal, ventral, serta posterior (caudal) antara 28,41-34,35 μm.