bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discovering stellar populations in Omega Centauri with phylogenetics
Authors: Jofre Paula , Gómez Claudia Aguilera , Villarreal Pablo , Cubillos Francisco , Das Payel , Hua Xia , Yates Robert , Silva Paula , Vitali Sara , Peña Tomás , Signor Theosamuele , Walsen Kurt , Tissera Patricia , Rojas-Arriagada Alvaro , Johnston Evelyn , Gilmore Gerard , Foley Robert 
Published: January 2025

Abstract

The nature and formation history of our Galaxy's largest and most enigmatic stellar cluster, known as Omega Centauri (oCen) remains debated. Here, we offer a novel approach to disentangling the complex stellar populations within oCen based on phylogenetics methodologies from evolutionary biology. These include the Gaussian Mixture Model and Neighbor-Joining clustering algorithms applied to a set of chemical abundances of oCen stellar members. Instead of using the classical approach in astronomy of grouping them into separate populations, we focused on how the stars are related to each other. In this way, we could identify stars that likely formed in globular clusters versus those originating from prolonged in-situ star formation and how these stars interconnect. Our analysis supports the hypothesis that oCen might be a nuclear star cluster of a galaxy accreted by the Milky Way with a mass of about 10^9 M_sun. Furthermore, we revealed the existence of a previously unidentified in-situ stellar population with a distinct chemical pattern unlike any known population found in the Milky Way to date. Our analysis of oCen is an example of the success of cross-disciplinary research and shows the vast potential of applying evolutionary biology tools to astronomical datasets, opening new avenues for understanding the chemical evolution of complex stellar systems.
From Scandal to Redemption: Exploring Word-of-Mouth Effects on Professor Brand Equity
Authors: Juhaidi Ahmad , Hartini Sri , Hidayati Noor 
Published: January 2025

Abstract

Bad news about professor scandals can damage the brand of professors in Indonesia. This study aims to explore the relationship between negative word of mouth (NWOM), positive word of mouth (PWOM), satisfaction (SAT), commitment (COMM), trust, and reputation (REP) to professor brand equity (PBE). This study included 306 students selected through convenience and snowball sampling. The analysis employed the partial least squares structural equation modeling (PLS-SEM) technique. We found that trust affects commitment, and professor reputation affects student trust. Student satisfaction with academic services has a huge effect on commitment, trust, reputation, and PBE. NWOM has no effect on all of these variables, except for PWOM, which affects REP and PBE. Further, in male students, the effect of satisfaction on PBE tends to be greater than that of female students. The findings make a theoretical contribution to the study of professors as a human brand.
Penıle Revascularızatıon In Improvıng Erectıle Functıon After Radıcal Prostatectomy: An Alternatıve Therapeutıc Approach For Penıle Rehabılıtatıon
Authors: AKDEMİR Fatih , Kayıgil Önder 
Published: January 2025

Abstract

Background
Erectile dysfunction after radical prostatectomy is an important clinical problem and various treatment methods are being investigated for this purpose.
Aim
The aim of this study is to evaluate the therapeutic effects of penile revascularization, applied as a penile rehabilitation method, on erectile function in the treatment of vascular-origin erectile dysfunction developing after radical prostatectomy.
Methods
A total of 21 cases who underwent radical prostatectomy due to localized prostate cancer between 2017 and 2024 and were diagnosed with postoperative erectile dysfunction were treated with penile revascularization surgery. All cases underwent bilateral neurovascular bundle-sparing radical prostatectomy. Before penile revascularization and at postoperative third, sixth, and twelfth months, all cases underwent penile color Doppler ultrasonography, corpus cavernosum electromyography, cavernosometry tests, the International Index of Erectile Function 5–15, and Erectile Hardness Score questionnaires.
Outcomes:
According to the results of this study, penile revascularization is an effective treatment option for the treatment of vascular-related erectile dysfunction after radical prostatectomy.
Results
The average age of the operated cases was found to be 59.05 ± 3.05 years. The pre-operative International Index of Erectile Function scores for 5 and 15 were found to be 8.53 ± 1.36 and 22.33 ± 3.75, respectively. In the post-operative final follow-up, these scores were 14.38 ± 2.04 and 36.71 ± 6.40. On penile color Doppler ultrasonography, the Peak Systolic Velocity, End-Diastolic Velocity, and Resistive Index values were 16.33 ± 2.27, 7.24 ± 3.08, and 0.51 ± 0.21, respectively, in the preoperative period. In the postoperative period, these values were 25.85 ± 6.18, 4.66 ± 1.02, and 0.80 ± 0.29, respectively.
Clinical implications:
Penile revascularization is an effective method in the treatment of vascular-origin erectile dysfunction after radical prostatectomy and has the potential to improve patients' quality of life.
Strengths and Limitations:
The limitations of the study are that it is a single-center study, has a retrospective design, and has a limited number of patients.
Conclusıons:
Penile revascularization surgery in cases of vascular-origin erectile dysfunction following radical prostatectomy can significantly contribute to the rehabilitation of erectile function by increasing penile blood flow. This procedure should be recommended to patients as an option before more invasive interventions, such as penile prosthesis implantation.
Enhancing Skin Cancer Diagnosis (SCD) Using Swin Transformer and Late Discrete Wavelet Transform (DWT)
Authors: Mousa Ramin , Salimi Faeze Sadat Sadati , Mahmoudi Laya , Abdollahi Jafar , Mardukhian Parisa 
Published: January 2025

Abstract

Skin cancer is one of the dangerous cancers that threatens human life and can be seen in lesions on the patient’s skin. If this disease is not treated in time, it can threaten the patient’s life. However, with early detection of this disease, more effective treatment measures can be used and its progression can be prevented. Many machine learning and deep learning methods have been developed for early detection of skin cancer. But one of the advantages that can be provided by deep learning is its ability to learn from large data sets, which makes it more favorable for deep learning methods. The present paper proposes a method based on the combination of Swin transformer and Wavelet for classifying skin cancer images. In addition, feature optimization is performed using improved gray wolf optimizer(IGWO), Fox optimizer (FOX) and modified gorilla troops optimizer (MGTO) to identify optimal feature values. ISIC-2016 and ISIC-2017 datasets are used to evaluate the developed model. From the obtained results, it is shown that the Swin Transformer-based Wavelet +MGTO model provides the best result on the ISIC-2016 data set, achieving an accuracy of 0.9792. Furthermore, the Swin Transformer-based Wavelet +IGWO model provides the highest performance on the ISIC-2017 dataset, with an accuracy of 0.9792 and an F-measure score of 0.9780 on the ISIC-2017 data set.
Delineating the Potential Therapeutic Effects of Lobaric Acid as a Novel Strategy in the Treatment of Melanoma
Authors: Jama Huda Abdirizak , Ensoy Mine , Yılmazer Açelya , Cansaran-Duman Demet 
Published: January 2025

Introduction:
Melanoma is one of the most dangerous and common types of
cancer in humans. In order to minimize the toxicity and side effects of melanoma treatment,
it is important to identify drug candidates that have strong anti-cancer activity and
fewer side effects. Lobaric acid is a small molecule that has been found to have significant
anti-cancer effects on various types of cancer cells.

Methods:
The study aimed to investigate the effects of lobaric acid on human melanoma
cell lines (A-375, MDA-MB-435, G-361, and WM-115) and normal human epidermal
melanocyte cells. The study also examined the regulation of cell cycle and apoptosis, as
well as the gene expression level of apoptosis-related genes and regulatory proteins to induce
apoptosis in melanoma cells.

Results:
The study suggests that lobaric acid may have an effect on the proliferation of
A-375 melanoma cells, with results indicating a dose- and time-dependent manner. Additionally,
the study found that the expression levels of 70 target genes out of 88 apoptosis-
related genes in the primary apoptosis library panel were obtained. Out of these, 54
genes showed an increase in expression levels, while 16 genes showed a decrease. Moreover,
it has been determined that the levels of apoptosis-related proteins, such as Casp3,
Casp7, Casp9, and PARP, were increased. The results suggest that lobaric acid induces
apoptosis through the extrinsic pathway by upregulating the expression of Caspases and
PARP.

Conclusion:
The findings of this study provided a strong basis for the use of lobaric
acid as a potential therapeutic agent in the treatment of melanoma.
Cross-Section of Hypertensive Molecular Signaling Pathways: Understanding Pathogenesis and Identifying Improved Drug Targets
Authors: Sankar Jeyanthi , Rajendran Kannan , Wong Ling Shing , Muthusamy Karthikeyan 
Published: January 2025

Introduction:
Hypertension is a chronic medical state and a major determining factor
for cardiovascular and renal diseases. Both genetic and non-genetic factors contribute to hypertensive
conditions among individuals. The renin-angiotensin-aldosterone system (RAAS) is a major
genetic target for the anti-hypertension approach.

Purpose of the study:
The majority of classical antihypertensive drugs were mainly focused on
the RAAS signaling pathways. Though these antihypertensive drugs control blood pressure (BP),
they have mild to severe life-threatening effects. Unrevealing effective hypertensive targets for BP
management is essential. The effective targets could emerge either from RAAS-dependent or
RAAS-independent pathways and/or through the cross-talks among them.

Results:
Analyzing the physiopathological mechanisms of hypertension has the benefit of understanding
the interactions between these systems which helps in better understanding of drug targets
and the importance of emergence of novel therapeutics.

Conclusion:
This review is about the signaling pathways involved in hypertension pathogenesis
and their cross-talks and it contributes to a better understanding of the etiology of hypertension.
Comparison of Guided and Unguided Botulinum Injections for Cervical Dystonia: EMG, Ultrasound, and Anatomic Landmarks
Authors: Livneh Vered , Faust-Socher Achinoam , Cohen Mikhal E. , Schechter Yosef , Israel Ilana , Eichel Roni , Gurevich Tanya , Yahalom Gilad 
Published: January 2025

Background:
Botulinum Toxin type A (BonTA) is the preferred treatment for Cervical
Dystonia (CD). However, the success rate is often suboptimal. One of the reasons for treatment failure
is the in accuracy of injections. Some physicians rely on Anatomical Landmarks (AL) for injections,
while others use either Ultrasound (US) or Electromyography guidance (EMGg) to improve
accuracy.

Methods:
This retrospective two-center study compared the therapeutic outcomes of AL-based and
EMGg injections with USg injections. Demographic and clinical assessments of previous visits and
current visits were recorded between 2019 and 2023.

Results:
Fifty-one patients were included. Six patients were injected using AL, 14 patients under
EMGg, and 31 patients received USg injections. Pain relief was significantly lower for the AL
group (40.0% ± 22.4%) compared to both USg and EMGg (81.2% ± 34.0% and 82.2% ± 10.3%, respectively;
p = 0.001). Dysphagia was reported in 7.1% of EMGg and 16% of the USg group and
none of those treated with AL (p > 0.05).

Conclusion:
The results of this study demonstrated that the clinical outcomes of USg and EMGg
BonTA injections are comparable and both techniques are superior to AL. The main side effect observed
was dysphagia, which was more common in the USg group, although without reaching statistical
significance.
Influence of Bubble Size on Hydrodynamics in Shear–thinning Liquids
Authors: Zhong Pu , Zhang Shihuan , Pang Mingjun 
Published: January 2025

Introduction:
Bubble rising behavior in shear-thinning liquids was simulated using a
volume of fluid (VOF) method.

Method:
The authors conducted a detailed analysis of the effects of bubble diameter D, inelastic
relaxation time (λ), and rheological index (n) on bubble deformation and flow fields.

objective:
It can be seen from the above review that the overwhelming majority of the present investigations on the rising behaviour of bubbles in the shear-thinning liquids focus on the effect of liquid-phase rheological parameters such as the flow index and the inelastic time constant on the bubble hydrodynamics. As a matter of fact, the bubble size is a very important parameter for the bubbly system, which determines the residence time of bubbles and the void fraction in a bubbly system. Therefore, it is essential to investigate the dependence of hydrodynamics on the bubble size in the shear-thinning liquids. In this paper, the authors investigated the rising behavior of the bubbles with different diameter in the shear-thinning liquids in detail.

Result:
The results indicated that bubble diameter significantly affects bubble dynamics. Bubble
terminal velocity tends to stabilize within a certain diameter range rather than continuously increasing
with an increase in bubble diameter, and this trend is particularly noticeable when the shearthinning
effect of liquid is strong— with an increase in λ, the region and degree of a decrease in apparent
viscosity increase, causing bubble deformation and terminal velocity to increase. A reduction
in n leads to an increase in bubble terminal velocity and deformation degree.

Conclusion:
These findings have potential implications for patent applications in industrial fields
involving shear-thinning liquids containing bubbles.
Model Klasik dan Model Fraksional untuk Dinamika Penyebaran Virus Covid-19 Berbasis Model Lotka-Volterra
Authors: Suparno Suparno , Jamal Sri Wahyuni , Safitri Riski 
Published: January 2025

Covid-19 telah menjadi pandemi global sejak pertama kali muncul pada akhir tahun 2019. Pandemi ini ditandai dengan penyebarannya yang cepat dan gejalanya yang tidak muncul dengan cepat. Penelitian ini bertujuan untuk menganalisis dinamika penyebaran virus Covid-19 menggunakan pendekatan model Lotka-Volterra. Model yang diusulkan melibatkan model turunan klasik yang memuat order bilangan bulat dan model turunan fraksional dengan order fraksional. Model matematika yang terbentuk memiliki dua titik ekuilibrium yang berbeda: titik ekuilibrium trivial dan titik ekuilibrium tak nol. Untuk model klasik, kestabilan titik ekuilibrium trivial adalah saddle, sedangkan titik ekuilibrium tak nol bersifat stabil asimptotik lokal. Selanjutnya, stabilitas lokal untuk model fraksional juga dibahas berdasarkan kondisi stabilitas Matignon. Karena melibatkan efek memori, model turunan fraksional memberikan gambaran yang lebih memadai dan realistis mengenai fenomena alam yang timbul dari model tersebut. Selain itu, hasil numerik menunjukkan bahwa parameter fraksional berpengaruh terhadap dinamika penyebaran Covid-19. Hasil ini mungkin dapat digunakan sebagai sebuah strategi bagi para pemangku jabatan dalam mengendalikan penyebaran pandemi.
The Complexity of Pencil Graph and Line Pencil Graph
Authors: Hanssen Calvin , Fran Fransiskus , Yundari Yundari 
Published: January 2025

Let 𝒢 be a linked and undirected graph. Every linked graph 𝒢 must contain a spanning tree 𝒯, which is a subgraph of 𝒢that is a tree and contain all the nodes of 𝒢. The number of spanning trees in graph 𝒢, also called the complexity of the graph 𝒢, represented by τ(𝒢), is the total number of distinct spanning trees of graph 𝒢. This research aims to formulate the complexity of pencil graph and line pencil graph. In this research, the complexity of pencil graph and line pencil graph are determined using graph complement approach. The result of the research are the complexity of pencil graph and line pencil graph.
Modeling Human Development Index of East Java Using Spatial Autoregressive and Spatial Error Ensemble
Authors: Jelita Nadia Aulia , Handajani Sri Sulistijowati , Susanto Irwan 
Published: January 2025

The human development index (HDI) is an indicator used to monitor the government's success in developing the quality of human life. East Java Province's HDI is the lowest compared to other provinces on Java Island. Therefore, it is necessary to improve human development in this province. Attention must be paid to all aspects of human development, including the relationship between neighboring regions. The spatial regression method is an analysis method that considers the spatial dependency of the data. Ensemble spatial regression combines several spatial models by adding noise to the response variable, which is expected to reduce the diversity in the data. This research aims to use ensemble spatial regression to examine the East Java HDI. East Java HDI has spatial lag and spatial error dependence, modeled with SAR and SEM. Queen contiguity is used as a spatial weight. The SEM model does not fulfill the homogeneity assumption, so it is continued with the ensemble method. The ensemble method is proven to reduce diversity, so SEM Ensemble fulfills the assumption of homoscedasticity. After analysis using SAR and SEM Ensemble, the SAR model was chosen as the best model with the largest and lowest AIC value. Significant variables on East Java HDI are life expectancy, expected years of schooling, average years of schooling, and expenditure per capita.
Echocardiographic index of left ventricular performance for prognostication in transthyretin cardiac amyloidosis: the central role of stroke volume index
Authors: Serenelli Matteo , Cantone Anna , Dal Passo Beatrice , Sanguettoli Federico , Fabbri Gioele , Colombi Gabriele Guidi , Maio Daniele , Arzenton Matteo , Vitali Martina , Pavasini Rita , Campo Gianluca 
Published: January 2025

Introduction
Cardiac amyloidosis typically causes restrictive cardiomyopathy, in which the impairment of diastolic function is dominant. Echocardiography provides prognostic information through some important parameters: left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS). However, LVEF often remains preserved despite disease progression, and GLS is not routinely performed as it is limited by suboptimal image quality. The stroke volume index (SVi) has already been shown to correlate with mortality in heart failure patients; still, its prognostic role in transthyretin cardiac amyloidosis (TTR-CA) is poorly studied.

Purpose
This prospective study aimed to evaluate the role of SVi in predicting mortality and heart failure hospitalizations in patients with cardiac amyloidosis, comparing it to other parameters of left ventricular performance.

Methods
Baseline clinical transthoracic echocardiogram and laboratory data were collected prospectively in 115 patients with diagnosed TTR-CA. The outcome was the occurrence of the composite of heart failure hospitalization and death and its association with SVi, LVEF, GLS and MCF was tested by Cox proportional hazard modelling.

Results
Over a mean follow-up of 16.1 months (interquartile range 7.4–24.9 months), 29 patients died, and 19 were hospitalized for heart failure. SVi was associated with the composite outcome of death and heart failure hospitalization [hazard ratio 0.96; 95% confidence interval (CI) 0.93–0.99] and remained an independent predictor of outcome after adjustment for NAC stage, mitral regurgitation degree, age and the use of disease-modifying treatment. The best cut-off of SVi to predict outcome was 35 ml/m2 (hazard ratio 2.30; 95% CI 1.03–5.17).

Conclusion
SVi is superior to LVEF, MCF, and GLS for prognostication in patients with TTR amyloidosis.
Amino acid profiles for red wolves (Canis rufus) managed under human care are significantly different compared to the profiles of domestic dogs (Canis familiaris)
Authors: Souza Ashley R. , Heugten Kimberly Ange-van , Duke Elizabeth G. , Harrison Tara M. 
Published: January 2025

Abstract

OBJECTIVE
To establish a reference interval for amino acid profiles for healthy red wolves (Canis rufus).

METHODS
Heparinized plasma of 48 red wolves was collected between August 2023 and April 2024 and sent to the University of California-Davis Amino Acid Laboratory for analysis. Reference intervals were created using the published American Society for Veterinary Clinical Pathology reference interval guidelines. Data were analyzed via Gaussian data distribution, and parametric statistical methods were used to produce a 90% CI of reference limits. The means of the red wolf intervals created were compared to those of the domestic dog using a z test.

RESULTS
Reference intervals were created for red wolves (n = 48). Upon completion of the z test, 11 of 21 amino acids were found to be statistically significantly different compared to those of the domestic dog.

CONCLUSIONS
A reference interval was created for red wolves. The red wolf amino acid profiles are different than those of the domestic dog, with 52% (11/21) of the profiles being statistically different.

CLINICAL RELEVANCE
Red wolf amino acid profiles should not be compared to those of the domestic dog reference intervals due to the significant difference between profiles.
Thirty-year land cover dynamics of a Ukrainian small town
Authors: Zibtseva Olha , Myroniuk Viktor , Yukhnovskyi Vasyl , Kirca Simay , Minder Victoria , Mishchenko Ihor , Pokotylova Kamila 
Published: January 2025

Abstract
The purpose of the work was to determine trends in land cover dynamics in a case study of a small town for the period from 1991 to 2021 using GIS technologies to find measures to prevent negative anthropogenic impacts. The object of the study is the territory of the small town of Kaharlyk, Kyiv region, Ukraine, and its landscaping system. Dynamic processes in the town were monitored using freely available Landsat time series. The land cover was classified into five categories: forest, grassland, cropland, urban (buildings) and wetland (water). Using the Morphological Spatial Pattern Analysis, the dynamics of connectivity of elements of the urban forest was determined. Despite the relatively high rates of provision of the population with green infrastructure and a large forested area, the urban forests have an insular (fragmentary) nature and low connectivity. This does not contribute to the creation of a cohesive network and ecological framework of the town. It was established that there were no significant changes in the land cover of the town, however, some negative trends emerged, which should be taken into account in future urban planning.