bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Mechanism of Supraventricular Tachycardia: Gene Mutation
Authors: Gao Jie , Luo Rong , Li Xiaoping 
Published: January 2025

Background:
Supraventricular tachycardia (SVT) is very common in daily clinical
practice, especially in the emergency department, with rapid onset and urgent management. The
review highlights the recent genetic predispositions and mechanisms in SVT.

Methods:
Through analysis of epidemiology, familial clustering, and gene mutations of the relevant
literature，the review elucidates the genetic properties and potential pathophysiology of
SVT.

Results:
There are many pathophysiological mechanisms related to atrioventricular node reentrant
tachycardia (AVNRT) and atrioventricular reentrant tachycardia (AVRT). Currently, there
is relatively little research on inappropriate sinus tachycardia (IST), atrial tachycardia (AT), and
congenital junctional ectopic tachycardia (CJET). It seems that every type of SVT has gene mutations
in ion channels, with three types of SVT having gene mutations in signaling pathways,
and others including gene mutations in beta-adrenergic-receptor autoantibodies, autonomic
nervous system, and AV node structure.

Conclusion:
SVT has certain genetic characteristics and is often associated with other heart
diseases. From the analysis of mutated genes in SVT, it appears to be a type of cardiac ion
channel disease. Unlike common ion channel diseases, it is more insidious and more susceptible
to external factors. The confirmation of the genetic basis of SVT provides direction for future
hazard stratification assessment and gene targeted therapy drug research.
The Impact of Social Support Interventions on Menopausal Symptoms: A
Systematic Review
Authors: Faryabi Reza , yoshany Nooshin , zareipour moradali , daneshi salman , Hanna Fahad , movahed Ehsan 
Published: January 2025

Introduction:
A comprehensive search was conducted to investigate the effect of social
support interventions on menopausal symptoms. The search covered studies published from March
2010 to March 2022.

Method:
A comprehensive search was conducted using the keywords “educational interventions,”
“menopause,” “social support,” and “clinical trial” in the PubMed, Scopus, ISI, Science Direct,
Cochrane, and Google Scholar databases.

Results:
Out of 23 randomized controlled trials (RCT) included in this review, one focused on
postmenopausal women over 30, four on women over 40, 14 on women over 45, and four did not
report age. Social support interventions varied widely, with nine targeting vasomotor symptoms
(hot flashes), seven focusing on improving knowledge, performance, physical and mental health,
and relationships, and the rest addressing nutrition, exercise, and depression. Sample sizes ranged
from 42 to 4974 participants aged between 40 and 70 years, and the duration of the interventions
was from two weeks to two years.

Conclusion:
The results suggest that supportive and educational interventions, especially those involving
spousal support and training of healthcare professionals can effectively reduce menopausal
symptoms. Studies with longer duration reported greater effects. It is suggested to consider a comprehensive
approach that includes educational interventions, emotional intelligence, nutrition and
exercise, cultural factors, quality of life, and marital satisfaction to reduce menopausal symptoms.
Natural Compounds from Alhagi maurorum as Potential HCC and HepG2 Inhibitors: An Integrated Study using Pharmacophore Development, Molecular Docking, MD Simulation, and DFT Approaches
Authors: Moveed Aniqa , Parveen Shagufta , Shafiq Nusrat , Ali Awais , Rashid Maryam , Bourhia Mohammed , Msanda Fouad , Salamatullah Ahmad Mohammad , Brogi Simone 
Published: January 2025

Background:
The rise in the frequency of liver cancer all over the world makes it a
prominent area of research in the discovery of new drugs or repurposing of existing drugs.

Methods:
This article describes the pharmacophore-based structure-activity relationship (3DQSAR)
on the secondary metabolites of Alhagi maurorum to inhibit human liver cancer cell lines
Hepatocellular carcinoma (HCC) and hepatoma G2 (HepG2) which represents the molecular level
understanding for isolated phytochemicals of Alhagi maurorum. The definite features, such as hydrophobic
regions, average shape, and active compounds’ electrostatic patterns, were mapped to
screen phytochemicals. The 3D-QSAR model generates pharmacophore-based descriptors and
alignment of active compounds. Further, docking studies were performed on the active compounds
to check out their binding affinity with the active site of the target proteins. It was further validated
by applying molecular simulations, and the results were found to be accurate. The geometrical optimization
and energy gap of the hit compound were calculated by the density functional theory
(DFT). Then, ADMET was performed on this hit compound for drug-like features and toxicity.

Result:
Out of 59 compounds, eight ligands were found active after the 3D-QSAR study. After that,
molecular docking was performed on the active compounds F72, F52, F54, F29, F37, F38, F25,
and F29, which were recognized as potential targets, and the docking results showed that compound
F52 (also an FDA-approved drug) was the best hit. F52 was found to be the best hit against
liver cancer cell lines HCC and HepG2.

Conclusion:
This study would be helpful for early drug discovery optimization and lead identification.
Study of the Biological Activities of Aethiopinone Isolated from the Hexane Extract of Salvia argentea L. Roots and its Combinations with Reference
Products
Authors: Ziane Safaa Nor el Houda , Dib Mohammed El Amine , Bensaid Okkacha , MUSELLI Alain 
Published: January 2025

Background:
In recent years, chemical and biological studies have explored medicinal
plants to develop new treatments for oxidative stress, inflammation, and diabetes.

Objective:
This study aims to characterize for the first time the chemical composition of the hexane
extract from the roots of Salvia argentea using GC and GC/MS techniques. We also isolated
its major compound and evaluated its biological activities, including its antioxidant, antiinflammatory,
antidiabetic, and hemolytic effects, as well as the combination of this major compound
with reference drugs.

Methods:
Antioxidant activity was assessed using DPPH, β-carotene, and phosphomolybdenic
tests. The anti-inflammatory effect was measured by the egg albumin denaturation method and
protein denaturation inhibition. The antidiabetic activity was determined by evaluating the inhibition
of α-amylase, with acarbose as a positive reference. The combined effect of aethiopinone
with standards was also studied to reduce the minimum effective dose and minimize side effects.

Results:
The hexane extract of Salvia argentea is mainly composed of aethiopinone (53.3%) and
ferruginol (20.5%). aethiopinone was isolated and identified using spectroscopic methods, including
1H NMR, 13C NMR, and IR. The biological activity assessment showed that hexane extract
and aethiopinone had promising antioxidant, anti-inflammatory, and antidiabetic properties. In
addition, synergistic effects were observed when aethiopinone was combined with positive references,
resulting in a significant reduction of the required minimum inhibitory concentrations. The
human erythrocyte toxicity assessment showed that hexane extract and aethiopinone induced very
low hemolysis levels, reaching 24.18% and 31.13%, respectively, at high concentrations of 2000
μg/mL.

Conclusion:
Further research is needed to confirm their therapeutic effects and assess their potential
for use in the pharmaceutical industry.
Anticancer Properties of Phenylboronic Acid in Androgen-Dependent (LNCaP) and Androgen-Independent (PC3) Prostate Cancer Cells via MAP Kinases by 2D and 3D Culture Methods
Authors: Gürgen Duygu Gürsoy , Güneş Arzu , Köse Oğuzhan , Ahsen Kaplan Arife , Karabulut Seda , Tunalı M. Başak , Keskin İlknur 
Published: January 2025

Objective:
This study utilized three cell lines: normal prostate epithelial RWPE-1, androgen-dependent
LNCaP, and androgen-independent PC3. We investigated the inhibitory effects of phenylboronic acid (PBA)’s
inhibitory effect on cellular proliferation due to its ability to disrupt microtubule formation in prostate cancer cell
lines. Additionally, this study aimed to assess the cytotoxic effects of PBA on prostate cancer cells using twodimensional
(2D) and three-dimensional (3D) cell culture models.

Methods:
The IC50 values of PBA and colchicine were determined through viability assays in 2D and 3D models.
Colony formation, proliferation, and migration assays were conducted. Immunofluorescence intensity analysis
of MAPKKK proteins (ERK, JNK, p38) was performed to explore the mechanism of cellular response to
PBA.

Results:
The IC50 values were determined for each treatment group. After 48-hour of PBA treatment, migration
was inhibited more effectively than with colchicine in both cancer cell lines. After 24-hour, PBA reduced colony
formation and proliferation. PBA treatment for 24-hour decreased JNK expression in PC3 and LNCaP cells in 2D
models. Both PBA and colchicine increased p38 expression in PC3 spheroids. PBA’s effects on cell deformation
were visualized in semi-thin sections, marking the first ultrastructural observation of PBA-induced morphological
defects in cancer cells.

Conclusion:
PBA exerts antimitotic effects by inhibiting proliferation and migration and triggers diverse metabolic
responses across different cell lines. Furthermore the low toxicity of PBA’s low toxicity on RWPE-1 cells
suggests its potential as a promising chemotherapeutic agent for future studies.
Greenhouse Gas Emissions and Ryegrass Yield after Application of Solid-Liquid Pig Slurry and Biochar to an Agricultural Soil
Authors: Pereira José L. S. , Perdigão Adelaide , Bonifácio Gabriel , Figueiredo Vitor , Marques Francisco , Trindade Henrique , Wessel Dulcineia F. 
Published: January 2025

Background
The application of animal slurry to the soil improves its quality, as manure contains many nutrients for plants. However, this could negatively impact the environment.

Objective
This field study investigated the effects of the addition of biochar after the mechanical separation of Whole pig Slurry (WS) into Solid (SF) and Liquid Fractions (LF) on Greenhouse Gases (GHG) emissions (N2O, CO2, and CH4) and ryegrass (Lolium multiflorum Lam. cv magnum) yield.

Methods
Biochar (1.0 kg m-2) was applied in plots alone or together with each of the three slurries (80 kg N ha-1) in a total of eight treatments with three replications, including just soil with and without biochar as controls. Soil properties, Greenhouse Gas (GHG) fluxes, and yield were measured during theautumn/winter growing season.

Results
The results showed that the addition of biochar to these three slurries significantly increased the soil pH and showed no impact on the other physicochemical properties. The GHG emissions were not significantly different between treatments with and without biochar. The N use efficiency increased significantly in SF > WS > LF, whereas no differences were observed among these three slurries with and without biochar.

Conclusion
It can be concluded that the addition of biochar combined with WS or SF/LF to sandy-loam soil appears to have no impact on GHG emissions and ryegrass yield during the autumn/winter season. Overall, this finding suggests that amounts higher than 1.0 kg m-2 of biochar combined with SF may need to be applied to soil to reduce GHG emissions and nitrate leaching and increase N use efficiency and crop yield.
Qualitative and Structural Insights into Levantilides C/D via LC-MS
Authors: Zhao Wei , Zhou Jian , Chen Nan-nan , Zhou Jingming , Jiang Hong , Wu Bin 
Published: January 2025

Abstract:
In this study, we utilized high-performance liquid chromatography coupled with quadrupole-
time of flight mass spectrometry (HPLC-Q-TOF/MS/MS), combined with electrospray ionization
in the positive mode (ESI+), to establish a comprehensive framework for chromatographic separation
and mass spectrometric detection.
The primary focus was on performing collision-induced dissociation (CID) experiments on levantilide
D, a newly identified macrolide, and its well-established analog, levantilide C, in order to elucidate
their mass spectral fragmentation patterns.
The results revealed that the cleavage patterns of levantilides were successfully characterized when
ionized in the positive mode. These fragmentation profiles provide valuable insights for the rapid and
accurate structural identification and quantitative analysis of levantilides when they often occur in
trace amounts.
Furthermore, this methodology offers crucial technical references for environmental pollutant monitoring
and pharmacokinetic investigations for levantilide-related compounds.
Ultra-short-term Forecasting Study of Power Load in Mega Steel Industry Based on Multi-stage Modeling
Authors: Yi Lingzhi , Yu Deshui , Wang Yahui , Luo Bote , Peng Xinlong 
Published: January 2025

Background:
In the large-scale steel industry, significant power load variability, especially
during processes like steel smelting, poses challenges to power system safety. Although there
is an abundance of research and patents related to load forecasting, studies and patents specifically
addressing large industrial load forecasting are sparse. Hence, accurate ultra-short-term load forecasting
becomes particularly crucial.

Objective:
This study proposes an innovative method for ultra-short-term load forecasting to improve
prediction accuracy during peak periods and mitigate risks in high-load conditions.

Methods:
We introduce an LSTM-XGBoost model enhanced by a random forest network and an
improved grey wolf optimization algorithm (IGWO) for feature selection and parameter optimization,
respectively.

Results:
Compared to other advanced models, our method demonstrates superior performance
across key indicators such as MAPE (1.93%), RMSE (220.81), and R2 coefficient (0.99), and the
prediction error is lower during both peak and off-peak periods. For instance, the proposed model
achieved a MAPE improvement of over 25% compared to traditional models. Validation with data
from multiple time periods confirms the model's accuracy and robustness.

Conclusion:
The proposed forecasting method effectively tackles load fluctuations in the steel industry,
supporting safe and economical power system operations. Future research will aim to further
improve peak identification accuracy and enable continuous adaptive learning.
Antioxidant Capacity and Phenolic Content of Some Indian Spices and Herbs
Authors: Srivastava Anika , Mukherjee Sayali , Chadha Sonia 
Published: January 2025

Background:
Spices and herbs have been a natural source of antioxidants for many years. Spices and herbs have been shown to have medicinal properties that are at-tributed to the phytochemicals present in them. Thus, a comparative study on phenolic con-tent and antioxidants in some common Indian spices/ herbs like ginger, garlic, onion, bay leaf, cumin, and coriander was undertaken in the present study.

Materials and Methods:
Total phenolics and total antioxidant activity (DPPH radical scav-enging) were estimated in water as well as methanolic extracts of the spices/herbs. Catalase and peroxidase enzyme activity was estimated spectrophotometrically in the aqueous ex-tracts of spices/herbs.

Results:
The highest catalase and peroxidase activity was estimated in ginger. Phenolic and antioxidant content were also highest in the ginger methanolic extract. The antioxidant con-tent in the methanolic extracts of ginger, bay leaves, onion, and garlic was significantly higher than that in the water extract (p-value <0.001).

Conclusion:
Our results showed that the selected Indian spices and herbs are rich in phenolic constituents and demonstrate good antioxidant activity. Although much of the antioxidant capacity of plant extracts has been shown to be contributed by phenolic compounds, the present study did not show any significant correlation between the two. This indicated that compounds other than phenolics can serve as good sources of natural plant-based antioxi-dants. Therefore, they need to be studied and explored further. Moreover, solvents used for extraction significantly affect the results, and therefore, they need to be considered while interpreting results.
Advocacy Strategies of Labour Unions in Demanding Workers’ Rights during the COVID-19 Pandemic
Authors: Novianto Imam Satrio 
Published: January 2025

This paper explores the strategies and advocacy steps taken by Serikat Pekerja Sejahtera Mandiri Jogja Bay Waterpark (Spektram JBW) during the COVID-19 pandemic causing 31 relieved of duty workers and 8 laid-off workers. This research uses a qualitative method with a case study approach. Through the analysis of advocacy theory from Sharma (2004) and contentious politics theory from Tarrow (2011), this paper shows that Spektram JBW's advocacy strategy follow five advocacy steps, namely identifying the root of the problem, formulating solutions, building political awareness, policy implementation, and evaluation. The five steps illustrate the process of contentious politics (movement process) with the formation of the union, and the unity of ordinary workers against the corporate elite. The advocacy resulted on two main demands were achieved but demand for worker status failed, and the process continued to the Industrial Relations Court (Pengadilan Hubungan Industrial, or PHI). The success of Spektram JBW is an example of success story providing a bright spot for other unions in Yogyakarta. The failure stems from the union culture in the area of DIY which lacks unions and the small scale of industry which makes it difficult to mobilise large numbers of workers.
Effectiveness of smartphone application in teledentistry for enhancing parental knowledge, attitude, and practice (kap) associated with children’s oral health: a systematic review
Authors: Anugrah Pani Matin , Olivia Marceline , Badruddin Iwany Amaliah , Adiatman Melissa , Rahardjo Anton , Bahar Armasastra , Darwita Risqa Rina 
Published: January 2025

Introduction: Oral health is essential for children's mental and physical well-being. Caries is one of the most common oral diseases worldwide, especially in children. One of the contributing factors to this disease is parental engagement. Parents play a crucial role in children’s oral health, especially their Knowledge, Attitude, and Practice (KAP). Teledentistry is one of the innovative ways to improve parental KAP due to technological advancements in leveraging the number of smartphones and the internet. Teledentistry could help parents/caregivers obtain education, consultation, diagnosis, and treatment planning about oral health via remote connection without going to dental offices. This engagement of parents/caregivers through teledentistry could build good oral health in children. This review aims to assess the effectiveness of smartphone applications for teledentistry in parental KAP related to children's oral health. Methods: This review followed PRISMA guidelines. We searched the articles in five databases (PubMed, EBSCOhost via Medline, Embase, ProQuest, and Scopus) using specific keywords and a PICO framework from January 2018 to December 2023. Two reviewers independently selected the articles based on inclusion and exclusion criteria. The selected articles were extracted and assessed for risk of bias using MMAT tool. Results: Of the 1529 articles initially identified, 14 met the inclusion criteria. All smartphone application reviewed were designed for parents/caregivers and integrated with teledentistry; however, only two applications incorporated with artificial intelligence. All application showed good assessment through application tests using SUS (3 articles), JN’s principles (1 article), Net Promotor Score (1 article), MARS (1 article), TAM (1 articles), and sensitivity and specificity tests (2 articles). Parental/caregiver engagement was assessed through their Knowledge, Attitude, and Practice (KAP). This has impacted the children’s oral health by improving both the plaque and gingival index. Conclusion: Smartphone applications for teledentistry effectively increase the engagement and KAP of the parents/caregivers, significantly improving the oral health status of the children.
Forest stand height predicted from ICESat-2 ATLAS data for forest inventory and comparison to airborne laser scanning metrics
Authors: Lang Mait , Tampuu Tauri , Trofimov Heido 
Published: January 2025

Abstract
The study analysed 2019–2022 summertime canopy height predictions (H
ICESat) given in ICESat-2 ATLAS dataset ATL08 for hemiboreal forests growing on an area of 40,000 km2 in Estonia around 25.6° E, 58.8° N. In total 12,711 ATL08 20×20 m pixel observations were used from 3,065 forest stands with homogenous canopy structure. Regression modelling was used to explain variability in ground surface elevation estimates, and relationships of H
ICESat to basal area weighted mean tree height given in the forest inventory database (H
FI) and to the 95th percentile of the vertical distribution of airborne laser scanning pulse return (H
ALS). The other explanatory variables were the ICESat-2 ATLAS observation geographic location, ICESat-2 ATLAS track and beam energy indicators, forest canopy cover, evergreen coniferous tree dominance indicator, and deep peat soil indicator. The linear model between the Estonian digital terrain model elevation and ATL08 ground elevation had a determination coefficient of R2=99.97% and residual standard error of δ=0.51 m when a geographic location was included. The H
FI can be predicted from H
ICESat with R2=85% and δ=2.7 m. A comparison of means indicated that, on average, H
ICESat was about 0.3 m greater than H
FI. All the predictive variables (except the geographic location) were significant in canopy height models, and the best models fitted H
ICESat with R2=95% and δ=1.6 m, however, there was no notable increase in R2 if more predictors than H
ALS were added in the models. In practical applications using ATL08 data for forest inventories, the inclusion of weak energy beam observations increases the number of observations, but the beam energy indicator has to be included in the models.
Three decades of research efforts on the uses, conservation, and management of Cola nitida (Vent.): State of knowledge and prospects in Africa
Authors: Tokannou Isabelle E.T. , Sanogo Souleymane , Houndonougbo Juliano S.H. , Salako Kolawolé Valère , Fandohan Adandé Belarmain 
Published: January 2025

Abstract

Cola nitida is a key multipurpose fruit tree species widely distributed across African countries. Several studies have investigated different aspects of the species, but there is a lack of synthesis on the current state of available literature and prospects for sustainable conservation and management of the species. Using the PRISMA approach for systematic review over the last three decades (1990–2022) in Africa, this study gathered key existing research findings on C. nitida. A total of 280 scientific publications were finally retained for this review. Several studies were focused on the socio-economic importance of the species (n = 139 ~ 50%), nutritional and chemical properties of its organs (n = 48 ~ 17%), improvement of its propagation methods (n = 30 ~ 11%), pest and pesticide control (n = 39 ~ 14%), morphological and genetic diversity (n = 21 ~ 7.5%), its botanical description and ecology (n = 2 ~ 0.7%), and climate change threats on the species (n = 1 ~ 0.3%). The review revealed a gap in knowledge on the methods for improving the species’ resilience to climate variability. Future research on the species should focus on its ecophysiological traits, the identification of elite accessions, and the type of agroforestry system that could optimize its productivity. The review provides a baseline for developing innovative management programs for C. nitida in Africa. Moreover, it highlights the need for more research efforts in the Central and East African native range of the species.