bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maglev-like droplet-based transporters co-regulated by wettability and magnetic field
Authors: Zheng Huanxi , Zhang Yonghui , Zhang Jiahao , Li Yuheng , Mao Shanyi , Wang Yanan , Wang Ziheng , Yuan Zizhen , Liu Xin 
Published: September 2024

Abstract

The adhesion behavior of liquid droplets on solid surfaces is critical for natural transportation and industrial production. In particular, microrobots based on adhesion at solid-liquid interfaces have important applications in chemical reactions, cargo transport, and energy harvesting. However, current droplet-based manipulation strategies primarily depend on the structures or reactions between solid-liquid interfaces to achieve programmable droplets movement, while robust carrying capacity and precise synergistic operation of multiple droplets remain challenging. Herein, we propose a maglev-like droplet-based transporter system (MDTs) with adjustable structures to achieve precise droplets manipulation for robust cargo transportation and energy conversion. By controlling the magnetic fields and the droplet adhesion at the solid-liquid interfaces, the MDTs can precisely transport, climb and rotate, as well as efficiently convert mechanical energy into electricity for motion monitoring and self-powered devices. These findings deepen the understanding of force transport co-directed by surface wettability and magnetic fields, and broaden the utilization of these systems for cargo transportation and energy conversion, offering a great potential for contactless blind operation, lossless transfer and reactions, and powerless micro-electromechanical systems (MEMS).
Prognostication of Half Cell Potential for Slabs Cathodically Protected with AZ91D using eXplainable and Interpretable Machine Learning
Authors: Pandey Shikha , Murthy Yogesh Iyer , Gandhi Sumit 
Published: September 2024

Abstract

Purpose: This research investigates the use of twenty commonly applied regression methods to predict concrete corrosion. These models are assessed for accuracy and interpretability using SHAP and LIME analysis to provide structural health monitoring prognostic tools.
Design/Methodology/Approach: The research evaluated model performance using standard measures including RMSE, MSE, R², and MAE. Interpretability was evaluated using SHapley Additive Explanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME). The X and Y distances, concrete age, relative humidity, and temperature were input parameters while Half Cell Potential (HCP) values were considered output. The experimental dataset consisted of observations taken for 270 days.
Findings: Gaussian Process Regression (GPR) models with Rational Quadratic, Square Exponential, and Matern 5/2 kernels outperformed others, with RMSE values around 16.35, MSE of roughly 267.50, and R² values near 0.964. Bagged and Boosted Ensemble models performed well, with RMSE around 17.20 and R² values over 0.95. Linear approaches, such as Efficient Linear Least Squares and Linear SVM, resulted in much higher RMSE values (~40.17 and ~40.02) and lower R² values (~0.79), indicating decreased prediction accuracy.
Practical Implications: The findings highlight the effectiveness of GPR models in forecasting corrosion in concrete buildings. The use of both SHAP and LIME for model interpretability improves the transparency of predictive maintenance models, making them more reliable for practical applications.
Originality/Value: This study reduces the gap between model accuracy and interpretability in predicting concrete corrosion by proposing a data-driven method to structural health monitoring. The combination of GPR models and ensemble approaches provides a solid foundation for future research and practical applications in predictive maintenance. This comprehensive approach underscores the potential of data-driven methods for predictive maintenance in concrete structures, with implications for broader applications in various industries.
The Spectro-Polarimeter (SP) of the Andrei B. Severny Solar Tower Telescope (STT) at the Crimean Astrophysical Observatory: Optical Design and Implementation
Authors: Kutsenko Alexander , Terebizh Valery , Dolgopolov Andrei , Abramenko Valentina , Plotnikov Andrei , Semyonov Dmitriy , Skiruta Vladimir , Lopukhin Vyacheslav 
Published: September 2024

Abstract

The Spectro-Polarimeter (SP) is a new instrument installed at the upgraded Andrei B. Severny Solar Tower Telescope (STT) at the Crimean Astrophysical Observatory. The instrument is a traditional echelle slit dual-beam spectropolarimeter with temporal modulation of the polarization. STT-SP provides simultaneous spectropolarimetric observations of the Sun within three 15 Angstrom wide spectral ranges around photospheric Fe I 5250, Fe I 5324, and chromospheric Mg I b2 5172 spectral lines. The spectral resolution of the instrument reaches 70,000 with the seeing-constrained slit width of 1 arcsec. The field-of-view of STT-SP is 200 arcsec allowing one to map a moderate size active region within a single raster scan. The instrument will provide new opportunities in the analysis of magnetic fields and thermodynamics of the lower atmosphere of the Sun. In this paper we describe the optical design of STT-SP and present the preliminary results acquired during the commissioning of the instrument.
A retrospective study on the admission and management of acute cases of abdominal aneurysms in Damascus Hospital
Authors: Assaf Mhmad Abo , Ali Diaa Haj , Kubtan Assem 
Published: September 2024

Abstract

The importance of research
The importance of the research lies in that it sheds light on an important medical issue, which is abdominal aneurysm cases and their management in Damascus Hospital, to measure the spread of this disease among our patients and determine its consequences, severity, and prognosis to be able to control it.
Research Materials and Methods
A retrospective study was conducted on a group of patients attending Damascus Hospital - General Surgery Department who were diagnosed with abdominal aortic aneurysm randomly from January 2019 until January 2024.
A questionnaire was conducted and the individuals participating were followed up during the research period, data was reviewed under the supervision of the research supervisor.
Results
The sample was divided into 3 categories according to age. 72% of the patients were 61-80 years old,(an average of 71 years). Then we searched for the presence of medical histories that predispose to the occurrence of aneurysms, and we linked them to several variables within statistical relationships, where it was found that 86.8% of the patients were suffering from hypertension.
In the end, Research and statistics showed that 28% were presented with a story of abdominal pain, 20% of the patients were asymptomatic and were discovered by chance and were admitted to the General Surgery Department. Others were presented with a complaint unrelated to aneurysms.
Conclusion
It is essential to publish awareness campaigns on the need to educate medical staff about methods of investigating and diagnosing aneurysms and ways to deal with them, and to publish scientific research on the complications of aneurysms, highlighting their rupture, and linking them to the location of the aneurysm and the general condition of the patient.
Natural conditions of Varandey coastal tundra. Anthropogenic transformation of natural landscapes
Authors: Martynov S. V. 
Published: September 2024

The author aims to characterize natural conditions in the coastal area of the Barents Sea, from the settlement of Varandey to the Perevoznoye field. The research covered an area of 20 km2, 40 km long. An integrated climatic characteristic of the studied area is given, including the direction and speed of natural processes forming its shape, cryogenic processes, flora and fauna conditions, soil cover formation. The geomorphological, geological, and hydrological features of the area are outlined. The heterogeneity of the water–salt regime of the coastal area, typical of the northern seas of the Arctic, including the Barents Sea, is noted. In the laidas, the prevalence of accumulation of easily soluble salts over their removal is established, which allows the soils to be distinguished in terms of their salinity. Here, halophytic species are identified. The vegetation cover of the studied area is characterized according to the habitat of flora representatives. The research identified 100 species of vascular plants, 51 species of lichens, and 65 species of mosses. A soil survey found 27 soil varieties, which form the structure of the soil cover; their morphological and physicochemical characterization are given. The data obtained during field studies and remote sensing data were used to determine the structure of landscapes to the level of terrain types and units, as well as to propose their description. Their ecological and geochemical typification is carried out. The fauna composition was assessed based on state registration data and open sources; field observations with reference to biotopes were used. The dynamics of fauna population on the Barents Sea coast was assessed retrospectively. Field survey and remote sensing data made it possible to identify areas with anthropogenic disturbance of tundra landscapes. A typification of the identified anthropogenic disturbances of the natural environment and their areas within the survey area is proposed. The data obtained can be used as signs when assessing the state of natural environments in the coastal part of the northern seas of the Arctic, similar in terms of natural and climatic conditions.
Two infinite families of facets of the holographic entropy cone
Authors: Czech Bartlomiej , Liu Yu , Yu Bo 
Published: September 2024

We verify that the recently proven infinite families of holographic entropy inequalities are maximally tight, i.e. they are facets of the holographic entropy cone. The proof is technical but it offers some heuristic insight. On star graphs, both families of inequalities quantify how concentrated/spread information is with respect to a dihedral symmetry acting on subsystems. In addition, toric inequalities viewed in the K-basis show an interesting interplay between four-party and six-party perfect tensors.
O CONTEÚDO DE LÍNGUA PORTUGUESA EM QUESTÃO: O EMBATE ENTRE DOIS DISCURSOS
Authors: Dos Santos Adelino Pereira 
Published: September 2024

A partir do referencial teórico e metodológico da Análise de Discurso de linha francesa, o trabalho de pesquisa consistiu na constituição e análise de um corpus formado por respostas de professores de Língua Portuguesa do ensino básico a um formulário contendo três questões: “O que é conteúdo de ensino-aprendizagem da disciplina Língua Portuguesa? Que conteúdo ensinar em Língua Portuguesa e por que ensiná-lo? De que maneira o conteúdo de Língua Portuguesa poderá contribuir para a formação cidadã do educando?” A análise permitiu a confirmação da hipótese da existência de dois discursos em um intricado jogo de oposição, embate, ambiguidade e entrelaçamento: o Discurso Pedagógico Tradicional sobre o conteúdo de Língua Portuguesa (DPT) e o Discurso sobre o conteúdo de Língua Portuguesa advindo dos Estudos Linguísticos Funcionalistas (DELF). O que compreendemos por DPT não é apenas uma questão de dizeres sobre o ensino de gramática normativa no ensino básico, discussão antiga, embora ainda atual. O DPT corresponde também à tradição de crenças e valores escolares que se consubstanciam e se fundamentam ideologicamente em práticas pedagógicas tradicionais. Compreendemos por DELF todos os saberes e dizeres sobre o conteúdo e a prática pedagógica de Língua Portuguesa enunciados a partir dos campos epistemológicos dos Estudos Linguísticos que concebem o texto, nas modalidades oral ou escrita e nas multimodalidades, em seus aspectos discursivos, pragmáticos, semântico-conceituais e formais como o objeto precípuo de ensino e aprendizado na educação básica. O DPT e o DELF estabelecem uma luta simbólica pela hegemonia na determinação do conteúdo de ensino-aprendizagem de Língua Portuguesa no ensino básico. O primeiro estabelece relações de resistência, de permanência. O segundo busca conquistar espaço e legitimidade. Os resultados dessa luta simbólica foram analisados nas seções deste artigo.
GRAVIDEZ NA ADOLESCÊNCIA: ESTUDO EPIDEMIOLÓGICO REALIZADO NA CIDADE DE MANHUAÇU - MG
Authors: Sucasas Humberto Tostes de Faria , Ribeiro Guilherme Vieira Borchio , Sales Emanuel Costa , Flora Heytor dos Santos , Da Silva Juliana Santiago 
Published: September 2024

A gravidez na adolescência é considerada por muitos como um problema de saúde pública. No Brasil os índices de fecundidade, que é o número de crianças nascidas por mulher, vem diminuindo, mas mesmo com o aumento da divulgação dos métodos contraceptivos, o número de registros de adolescentes grávidas é algo que chama atenção. O presente artigo visa mostrar uma nova concepção sobre a temática. Para isso foi realizado um estudo epidemiológico na cidade de Manhuaçu com o objetivo de comparar os dados coletados, relacionados ao tema, nas esferas municipal e nacional, podendo servir de embasamento para futuras pesquisas que visem intervenções neste âmbito. Foram elaborados gráficos que ilustraram uma proximidade entre os dados do município e os do país. Todavia foi observado um número maior de adolescentes grávidas na cidade em estudo. Algumas concepções não consideram apenas a baixa idade materna como um determinante de adversidades. Deste modo, o que as causariam seriam fatores socioeconômicos e culturais, os quais acometem com maior frequência as jovens, e por isso é feita uma errônea associação.
Utilizing Indigenous Flora in East Africa for Breast Cancer Treatment: An Overview
Authors: Alum Esther Ugo , Tufail Tabussam , Uti Daniel Ejim , Aja Patrick Maduabuchi , Offor Christian Emeka , Ibiam Udu Ama , Ukaidi Chris U. A. , Alum Benedict Nnachi 
Published: September 2024

Background:
Breast cancer is a significant global health challenge, contributing substantially to cancer-
related deaths. Conventional treatment methods, including hormone therapy, chemotherapy, surgical interventions,
and radiation, have long been utilized. However, these traditional treatments are often associated with serious
side effects and drug resistance, limiting their efficacy.

Aim:
This review aims to explore the potential of medicinal plants used in breast cancer management in East
Africa, focusing on their bioactive compounds and anticancer properties.

Methods:
A comprehensive literature search was conducted to examine the effectiveness of medicinal plants in
treating breast cancer across Kenya, Ethiopia, Uganda, Tanzania, and Rwanda. Relevant studies published between
2003 and 2023 were identified using keywords related to breast cancer and medicinal plants. The search
was performed across multiple databases, including Google Scholar, PubMed, Scopus, Web of Science Core
Collection, and Science Direct.

Results:
Numerous natural compounds found in East African medicinal plants including Cymbopogon citratus
(Lemongrass,) Tabebuia avellanedae, Prunus africana (African Cherry), Euclea divinorum, Berberis holstii,
Withania somnifera (Ashwagandha, Curcuma longa (Turmeric), Garcinia mangostana (Mangosteen, Vitis vinifera
(Grapevine), Eugenia jambolana (Java Plum), Moringa oleifera (Drumstick Tree), Camellia sinensis (Tea),
Glycine max (Soybean), Catharanthus roseus, Madagascar Periwinkle), Rhus vulgaris (Wild Currant) exhibit
significant anticancer properties. These compounds have demonstrated the ability to reduce breast cancer aggressiveness,
inhibit cancer cell proliferation, and modulate cancer-related pathways. Current research focuses on
these natural and dietary compounds to develop more effective strategies for treating breast cancer.

Conclusion:
The findings suggested that East African medicinal plants hold promise as complementary treatments
for breast cancer, offering potential benefits such as affordability, cultural appropriateness, and sustainability.
Further research into these plants and their bioactive compounds could revolutionize breast cancer treatment,
improving survival rates and addressing the rising incidence of breast cancer-related fatalities.

Other:
The review underscores the importance of continued research, conservation, and the integration of ancient
healing methods to fully harness the potential of East African flora in breast cancer management.
Ancestry-Related Differences in Allele and Genotype Frequencies of EGF A61G Polymorphism in the Cuban Population
Authors: Zuniga-Rosales Yaima , Martinez-Téllez Goitybell , Roblejo-Balbuena Hilda , Monzon-Benitez Giselle , Bybjerg-Grauholm Jonas , Mors Ole , Marcheco-Teruel Beatriz 
Published: September 2024

Background:
The polymorphism rs4444903 of the Epidermal Growth Factor
gene (EGF A61G) causes differences in the EGF serum levels. It has become a biomarker
for genetic susceptibility to cancer and a pharmacogenomic marker for therapies involving
the EGF/EGF-receptor pathway.

Objective:
The present study aimed to characterize the allele and genotype frequencies of
the rs4444903 in a Cuban sample and its relationship to a specific genetic ancestry.

Methods:
A cross-sectional study was carried out. Genomic data was collected from a
dense genome-wide genotyping array analysis of 948 Cubans from all provinces. The allele
and genotype frequencies of the rs4444903 were calculated. Analysis of ancestryrelated
allelic/genotypic differences was performed.

Results:
The frequencies for both alleles were found to be very similar (0.52 for G vs. 0.48
for A allele), and genotype frequencies were 24.3%, 47.9%, and 27.8% for AA, AG, and
GG, respectively. Greater differences were found between Cuban provinces, with frequencies
for the G allele ranging from 0.38 in Artemisa to 0.69 in Guantánamo and for the GG
genotype from 14.29% in Mayabeque to 50.88% in Guantánamo. An increased Africanancestry
proportion was related to a higher probability of carrying G allele and GG genotype,
with a significant (p=0.0038, q=0.024) African-ancestry-enrichment pattern.

Conclusion:
African ancestry seems to contribute to an increase in the EGF61*G allele in
Cubans. Geographic patterns in admixture proportions for African and European ancestry
are a determinant factor in the allelic and genotypic frequency differences between Cuban
provinces. Such differences should be observed when designing association studies and
implementing therapeutic approaches based on the EGF/EGF receptor pathway in Cuba.
A Comparative Study of Artificial Neural Network Training Algorithms to Predict Photovoltaic Module Output Power
Authors: Salim Muhammed Sabri 
Published: September 2024

Introduction:
Solar energy is a crucial component and contributes a large portion of renewable
resources, the demand for which has recently increased. During previous years, it was difficult
to predict the amount of energy obtained from photovoltaic systems. The angle of inclination
of the solar panel, the amount of radiation, the speed of the wind, the amount of humidity, and the
temperature of the weather are major factors that effectively affect the production of electrical energy.
Scientists have used many strategies to predict the power generated by PV modules accurately,
but each method has different pros and cons.

Methods:
This study tested three training algorithms for artificial neural networks (ANN): scaled
conjugate gradient (SCG), Levenberg Marquardt (LM), and Bayesian regularization (BR), determining
which one performed best in terms of prediction speed and accuracy. Twenty-eight thousand
two hundred ninety-six samples of experimental data for primary influencing environmental
factors were fed into the artificial neural network, which consists of 15 hidden layers. Before training
the network, we preprocessed the data to remove factors that have a secondary effect.

Results:
The analytical results showed that the artificial neural network trained according to the LM
algorithm is the best in terms of accuracy and speed of predicting the resulting photovoltaic energy.

Conclusion:
The results showed that although the regression evaluation and MSE values for the LM,
SCG, and BR algorithms are close (98.129%, 0.0622, 97.849%, 0.0587, 98.151%, and 0.0585, respectively),
the LM training algorithm is the best in terms of speed of calculation and display of results.
Impact of an mHealth App (Kencom) on Patients With Untreated Hypertension Initiating Antihypertensive Medications: Real-World Cohort Study
Authors: Matsumura Koichiro , Nakagomi Atsushi , Yagi Eijiro , Yamada Nobuhiro , Funauchi Yohei , Kakehi Kazuyoshi , Yoshida Ayano , Kawamura Takayuki , Ueno Masafumi , Nakazawa Gaku , Tabuchi Takahiro 
Published: September 2024

Abstract

Background
To prevent the further development of cardiovascular diseases, it is a growing global priority to detect untreated hypertension in patients and ensure adequate blood pressure control via drug therapy. However, few effective tools that facilitate the initiation of antihypertensive medications among such patients have been identified.

Objective
We aimed to determine whether a mobile health (mHealth) app facilitates the initiation of antihypertensive medications among patients with untreated hypertension.

Methods
We analyzed a large longitudinal integrated database mainly comprised of data from middle-aged, employed people and their families. The database contained data from health checkups, health insurance claims, and the mHealth app kencom. kencom is used to manage daily life logs (eg, weight, number of steps) and to provide health information tailored to customers. Patients with untreated hypertension were identified using the baseline health checkup data, and follow-up health checkups were conducted to identify the rate of initiation of antihypertensive medications between mHealth app users and nonusers. Antihypertensive medication status was confirmed via a questionnaire administered during the medical checkup as well as a review of the health insurance claims database. We conducted a modified Poisson regression analysis, weighted by inverse probability of treatment weighting, to examine the effect of mHealth app usage on the initiation of antihypertensive medications. Additionally, data from four lifestyle questionnaires from the baseline and follow-up health checkups were collected to evaluate lifestyle modifications that could be attributed to the mHealth app.

Results
Data were collected from 50,803 eligible patients (mean age 49, SD 9 years; men n=39,412, 77.6%; women n=11,391, 22.4%) with a median follow-up period of 3.0 (IQR 2.3‐3.1) years. The rate of initiation of antihypertensive medications was significantly higher in the mHealth app user group than in the nonuser group: 23.4% (3482/14,879) versus 18.5% (6646/35,924; P<.001), respectively. The risk ratio of mHealth app usage for initiated antihypertensive medications was 1.28 (95% CI 1.23‐1.33). Among those who did not intend to improve their lifestyle habits such as exercise and diet at baseline, the rate of lifestyle improvement at follow-up was compared between mHealth app users and nonusers, using data from the questionnaires; mHealth app users demonstrated a significantly higher rate of lifestyle changes than nonusers.

Conclusions
For patients with untreated hypertension, the use of the mHealth app kencom, which was not dedicated to hypertension treatment, was associated with a higher initiation of antihypertensive medications.