bluuebunny/crossref_metadata_2025 huggingface dataset:
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.
WITHDRAWN: Case Report: Glaucoma Inducing Visual Hallucinations and Psychotherapy Intervention
Authors: Gultom David Adrian , Effendy Elmeida
Published: September 2024

Since the authors are not responding to the editor’s requests to fulfill the editorial requirement, therefore, the article has been
withdrawn from the journal Current Psychiatry Research and Reviews.

Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.

The Bentham editorial policy on article withdrawal can be found at https://benthamscience.com/pages/editorial-policies-main

BENTHAM SCIENCE DISCLAIMER:

It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously
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elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden,
and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate
action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors
agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.
Study of Eugenol and Salicylic Acid Interactions in Hybrid Molecule Encapsulated for Enhanced Antioxidant Au
Authors: Astuti Endah S
Published: September 2024

Drug development continues to be carried out so that drugs can work effectively. Creating a drug formula can be achieved by combining two or more synergistic drug compounds by hybridization, blending, or synthesis. This study reports findings of antioxidant activity using the good DPPH method from the synthesis of eugenol and salicylic acid using the encapsulation technique. The encapsulation technique uses chitosan as a coating material to protect the active ingredients, taking advantage of its unique functional characteristics, including the ability to form bonds with the crosslink agent sodium tripolyphosphate (Na-TPP) at a speed of 13,500 rpm with a pH of 4.2 to optimize the formulation. The encapsulation system produced majority particles measuring 241.0 ± 19.8 nm, with an encapsulation efficiency of 58.29 ± 0.40%. The results of the compound antioxidant test (CS-ES NP) showed better results than pure ES, with an IC50 value of 1.64 ?g/mL. The morphology results after encapsulation showed round and dense particles, indicating that the ES compound was successfully encapsulated.
Fundamentos del Conservadurismo cristiano
Authors: Naranjo Navas Christian Paúl , Navas Labanda Alegría Cumandá
Published: September 2024

Introducción: El artículo propone una lectura del conservadurismo cristiano basado en dos fundamentos teóricos: la teología cristiana y el liberalismo clásico. Objetivo: se propone un tratado de principios conservadores cristianos que provienen de una revisión analíticohistórica de los casos de estudios, y del uso argumentativo de las raíces filosóficas políticas yeconómicas. Reflexión: el pensamiento conservador cristiano propone tres ideas claras: (i) el Imago Dei, como base para los derechos humanos, entre los más importantes están la vida, la libertad y la propiedad privada; (ii) la depravación del ser humano y la negación del buen salvaje, lo que constituye la raíz para la construcción de sistemas de controles en los modelospolíticos democráticos; (iii) el comercio justo, propuesto no como la redistribución de los ingresos o los recursos, sino compuesto por el esfuerzo y la responsabilidad. Conclusiones: las tres ideas, a decir: los derechos humanos, sistemas políticos con contrapesos, y elcomercio justo, son transversales a la construcción histórica de Occidente moderno, y son transversales a las democracias liberales.
Análisis de la prohibición de la justicia consensuada en el proceso penal de infancia y adolescencia
Authors: Archila Miranda Dana Vanesa , Martínez Gómez Juan Roberto
Published: September 2024

Introducción: La presente investigación hace un estudio acerca de la injerencia que tiene la prohibición dada por la Ley 1098 de 2006 para celebrar preacuerdos respecto de los derechos humanos de los niños, niñas y adolescentes, no solo desde el reconocimiento constitucional, sino también de los derechos consagrados en los instrumentos internacionales quereconocen derechos humanos. Objetivo: identificar en qué medida la configuración jurídica dada por la Ley 1098 de 2006 en su artículo 157 configura una violación a los derechos fundamentales y preceptos constitucionales de los procesados en temas de justiciaconsensuada en el sistema penal para menores. Metodología: Es descriptiva y explicativa, por lo que los principales resultados permiten exponer que, si bien lo dado por la Ley 1098 de 2006 permite un nivel de garantía en materia de menores, resulta necesario replantear como la prohibición en tanto que configura un límite a la justicia consensuada. Conclusión: dicha prohibición afecta derechos como el debido proceso, la igualdad, las garantías judiciales y la prevalencia del interés superior del menor, por ello, conforme a la Corte Constitucional, se visualiza la necesidad de que Colombia realice una adecuación normativa en la que se revise la viabilidad de adecuar la figura de los preacuerdos dentro del sistema de responsabilidadpenal para menores.
Global Economic Policy Uncertainty and Global Economic Leaders’ Influence on Regional Economic Growth
Authors: Benavides Perales Guillermo , Borrego-Salcido Carmen
Published: September 2024

This study aims to evaluate the regional economic growth of select American, European, and Asian countries amidst global economic uncertainty. The proposed methodology incorporates mixed frequencies in the data (VAR-MIDAS), facilitating the assessment of their reliance on lagged values, the impact of economic growth in other countries within the same region, and the influence of Global Economic Policy Uncertainty (GEPU). This sheds light on the effects of economic news from relevant newspapers on GDP growth. The primary hypothesis suggests a significant influence of other countries within the same region and the two major global economic powers on the Gross Domestic Product (GDP) growth of each studied region, namely the United States and China. This research also examines this hypothesis across 19 GEPU-included economies, categorizing them regionally by continent. The econometric results confirm the influence of the two leading economies on economic growth and identify causal relationships, with GEPU also exhibiting effects on GDP. Additionally, in-sample estimations reveal disparities in the influence of leaders on the economic growth of the examined economies.
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

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.
Allied Health Professionals’ Perceptions of Artificial Intelligence in the Clinical Setting: Cross-Sectional Survey
Authors: Hoffman Jane , Hattingh Laetitia , Shinners Lucy , Angus Rebecca L , Richards Brent , Hughes Ian , Wenke Rachel
Published: September 2024

Background

Artificial intelligence (AI) has the potential to address growing logistical and economic pressures on the health care system by reducing risk, increasing productivity, and improving patient safety; however, implementing digital health technologies can be disruptive. Workforce perception is a powerful indicator of technology use and acceptance, however, there is little research available on the perceptions of allied health professionals (AHPs) toward AI in health care.

Objective

This study aimed to explore AHP perceptions of AI and the opportunities and challenges for its use in health care delivery.

Methods

A cross-sectional survey was conducted at a health service in, Queensland, Australia, using the Shinners Artificial Intelligence Perception tool.

Results

A total of 231 (22.1%) participants from 11 AHPs responded to the survey. Participants were mostly younger than 40 years (157/231, 67.9%), female (189/231, 81.8%), working in a clinical role (196/231, 84.8%) with a median of 10 years’ experience in their profession. Most participants had not used AI (185/231, 80.1%), had little to no knowledge about AI (201/231, 87%), and reported workforce knowledge and skill as the greatest challenges to incorporating AI in health care (178/231, 77.1%). Age (P=.01), profession (P=.009), and AI knowledge (P=.02) were strong predictors of the perceived professional impact of AI. AHPs generally felt unprepared for the implementation of AI in health care, with concerns about a lack of workforce knowledge on AI and losing valued tasks to AI. Prior use of AI (P=.02) and years of experience as a health care professional (P=.02) were significant predictors of perceived preparedness for AI. Most participants had not received education on AI (190/231, 82.3%) and desired training (170/231, 73.6%) and believed AI would improve health care. Ideas and opportunities suggested for the use of AI within the allied health setting were predominantly nonclinical, administrative, and to support patient assessment tasks, with a view to improving efficiencies and increasing clinical time for direct patient care.

Conclusions

Education and experience with AI are needed in health care to support its implementation across allied health, the second largest workforce in health. Industry and academic partnerships with clinicians should not be limited to AHPs with high AI literacy as clinicians across all knowledge levels can identify many opportunities for AI in health care.
Predicting Hypoproteinemia in Patients with Traumatic Brain Injury:Using Radiomics Features on Computed Tomography Combined with Clinical Factors . (Preprint)
Authors: Zhang Yan , Li YuPing , Jiang Yong'An , Fan XinJiang , Cheng ShiQi , Yuan RaoRao , Fan HengYi , Zhang YiChen
Published: September 2024

BACKGROUND

Traumatic brain injury (TBI) is a major cause of death and disability in all age groups, placing a heavy burden on society and families，serum albumin levels have a significant impact on mortality and length of hospitalization patients. This study was made to develop a predictive model based on Computed Tomography (CT) and clinical parameters to explore the predictable power of the model in the development of hypoproteinemia with TBI patients.

OBJECTIVE

To explore the predictable power of the model in the development of hypoproteinemia with TBI patients.

METHODS

A total of 72 TBI patients were prospectively recruited and confirmed as hypoproteinemia in 26 cases. A cranial CT and clinical parameters such as age, gender, admission Glasgow score were collected to establish the clinical model. The least absolute shrinkage and selection operator (LASSO) was applied to extract radiological features. Then a total of five different machine learning methods (RF, SVM, GNB, XGB, KNN) were used to establish the prediction model of radiomics. Finally, a combined model: clinical-radiological was constructed. The average area under the curve (AUC) were used to evaluate the performance of each model.

RESULTS

Comparing these three different models, we found that the radiomic models combined with clinical parameters showed the best performance, which had an AUC with 0.8704 compared with clinical model only AUC=0.8512 and radiomics model only AUC=0.7040, respectively.

CONCLUSIONS

The model of radiomics features combined with clinical parameters is superior to the radiomics model and clinical model alone, and the model of radiomics combined with clinical parameters is a useful tool for predicting the occurrence of hypoproteinemia in patients with traumatic brain injury.
Exploring barriers and facilitators of implementation of digital technologies in diagnosis of heart disease: a qualitative study of stakeholder perspectives (Preprint)
Authors: Abdullayev Kamilla , Chico Tim J A , Canson Jiana , Mantelow Matthew , Buckley Oli , Condell Joan , Van Arkel Richard J , Diaz-Zuccarini Vanessa , Matcham Faith
Published: September 2024

BACKGROUND

Digital technologies are increasingly being implemented in healthcare to improve the quality and efficiency of care for patients. However, the rapid adoption of health technologies over the last five years has failed to adequately consider patient and clinician needs, which results in ineffective implementation. There is also a lack of consideration for the differences between patient and clinician needs, resulting in over generalised approaches to implementation and use of digital health technologies.

OBJECTIVE

This study aimed to explore barriers and facilitators of implementation of digital technologies in the diagnosis of heart disease for both patients and clinicians and provide recommendations to increase the acceptability of novel health technologies.

METHODS

We recruited 32 individuals; 23 with lived experience of heart disease and 9 clinicians involved with diagnosis of heart disease. Participants with experience of living with heart took part in semi-structured focused groups, while clinicians undertook one-to-one semi-structured interviews. Inductive thematic analysis using a phenomenological approach was used to analyse the resulting qualitative data and to identify themes.

RESULTS

Emerging themes were separated into facilitators and barriers, and categorised into resource, technology and user-related themes. Resource-related barriers and facilitators related to clinician workload, system-level influences, cost implications, efficiency and support infrastructure. Technology-related barriers and facilitators included themes related to reliability, accuracy, safety parameters, data security, ease of use and personalisation. Finally, the most prominent themes were the user-related barriers and facilitators, which encompassed user attitudes, individual-level variations, and impact on quality of healthcare experiences. This theme captured a wide variety of perspectives amongst the sample and revealed how patient and clinician attitudes and personal experiences substantially impact engagement with digital health technologies across the cardiovascular care pathway.

CONCLUSIONS

Our findings highlight the importance of considering both patient and clinician needs and preferences when investigating the barriers and facilitators to effective implementation of digital health technologies considering the increasing reliance on digital health tools to improve quality of care and create a more efficient diagnosis pathway for heart disease.

CLINICALTRIAL

Not applicable.

INTERNATIONAL REGISTERED REPORT

RR2-10.1136/bmjopen-2023-072952
Phenomenological Insights on Decent Work and Its Relevance to Local Economic Development
Authors: Rahman Mizan Ikhlasul , Pahlevi Khairi
Published: September 2024

The concept of decent work has few explanatory references and comparative descriptions due to limited research. So far, the concept of decent work only refers to standards and concepts issued by the International Labor Organization (ILO). Meanwhile, the Local Economic Development (LED) approach is an alternative strategy that prioritizes local aspects and resources for effective development. The research method chosen in this research is the phenomenological method. The phenomenological method explores human experiences (people’s lived experiences). This is in line with the concept of decent work and local economic development, which is highly influenced by the opinions and narratives described by the community, in this case, the research participants. This research explains the concept of decent work and local economic development based on the conditions of Banjarmasin City. It generated five explanatory clusters in this research. Cluster of general perspectives and specific perspectives related to the concept of decent work. The general perspective is that decent work should meet minimum standards and protect workers’ rights. While a specific perspective emphasizes subjectivity in viewing various decent work concepts. The other three clusters were formed from the exploration of the concept of local economic development, such as the challenge cluster, the opportunity cluster, and the relationship cluster between the concept of local economic development and decent work. These three clusters emphasize that the development concept requires comprehensive planning. Development faces challenges, such as insufficient government support, uncooperative communities, and disinterest among local people, but there are opportunities to boost local economies and improve work decency and conditions.
Estrategias de intervención para el desarrollo local. Experiencias en comunidades mayas del sur de Yucatán
Authors: Rosales González Margarita
Published: September 2024

En el marco de la antropología para el desarrollo, la discusión de distintas modalidades de intervención y sus resultados resulta prioritaria. En el sur de Yucatán, una organización civil que promueve el desarrollo endógeno y sustentable ha impulsado proyectos educativos, productivos, ambientales y culturales a través de distintas estrategias como la promoción y asesoría de organizaciones productivas; la recuperación y fortalecimiento de organizaciones tradicionales mayas y la formación y acompañamiento de comités comunitarios para la prevención de contingencias y el desarrollo comunitario. El artículo caracteriza estas estrategias, analiza y compara sus alcances, así como las bondades y limitaciones de las intervenciones en relación con los objetivos de un desarrollo sustentable. Se destaca cómo las organizaciones que han permanecido después de terminado el acompañamiento de los agentes externos, son aquellas basadas en las prácticas, ritmos, normas y sentidos de la cultura local.
¿POR QUÉ LOS HOGARES SON POBRES? UN ANÁLISIS PARA LA ZONA METROPOLITANA DE MÉRIDA, 2010
Authors: Castañeda Navarrete Jennifer
Published: September 2024

Los procesos de urbanización experimentados en México han configuradolas ciudades y el espacio rural, con los consecuentes efectos en elbienestar de la población. Si bien la pobreza se concentra en mayorporcentaje en las zonas rurales del país, es en las ciudades donde viveel mayor número de pobres. En este contexto, este artículo analizalas posibles causas de la pobreza en la Zona Metropolitana de Mérida(zmm), advirtiendo que aun cuando se pueden identificar característicascomunes entre los hogares pobres de los seis municipios que conformanla zmm —como que el jefe del hogar sea mujer, un bajo nivel de escolaridad,un jefe de hogar con más de 60 años o que el jefe de hogar trabajepor cuenta propia—, no se debe pasar por alto que el área de estudioes heterogénea y que cada municipio muestra problemáticas específicasque deben ser comprendidas y atendidas desde su propia realidad.
EL EJIDO POSREVOLUCIONARIO: DE FORMA DE TENENCIA SUI GENERIS A FORMA DE TENENCIA AD HOC
Authors: Torres Mazuera Gabriela
Published: September 2024

El ejido posrevolucionario fue definido por uno de los juristas especialistaen el tema, como sui generis. El reconocimiento de la unidad dedotación individual con características similares a la propiedad privadadentro de la tenencia corporativa de la tierra era su principal peculiaridad. Las reformas constitucionales de 1992 le han dado al ejido característicasaún más peculiares que incluso niegan los principios rectoresque fueron la justificación de su creación. El presente texto traza una génesis y evolución del ejido posrevolucionario como forma jurídica detenencia de la tierra. La intención es mostrar el carácter procesual y disputado de todo marco legal que en su mismo seno alberga proposiciones ideológicas contrarias, que han posibilitado márgenes amplios deinterpretación y aplicación de la ley.
Efficient entanglement purification based on noise guessing decoding
Authors: Roque André , Cruz Diogo , Monteiro Francisco A. , Coutinho Bruno C.
Published: September 2024

In this paper, we propose a novel bipartite entanglement purification protocol built upon hashing and upon the guessing random additive noise decoding (GRAND) approach recently devised for classical error correction codes. Our protocol offers substantial advantages over existing hashing protocols, requiring fewer qubits for purification, achieving higher fidelities, and delivering better yields with reduced computational costs. We provide numerical and semi-analytical results to corroborate our findings and provide a detailed comparison with the hashing protocol of Bennet et al. Although that pioneering work devised performance bounds, it did not offer an explicit construction for implementation. The present work fills that gap, offering both an explicit and more efficient purification method. We demonstrate that our protocol is capable of purifying states with noise on the order of 10% per Bell pair even with a small ensemble of 16 pairs. The work explores a measurement-based implementation of the protocol to address practical setups with noise. This work opens the path to practical and efficient entanglement purification using hashing-based methods with feasible computational costs. Compared to the original hashing protocol, the proposed method can achieve some desired fidelity with a number of initial resources up to one hundred times smaller. Therefore, the proposed method seems well-fit for future quantum networks with a limited number of resources and entails a relatively low computational overhead.
Efficient validation of Boson Sampling from binned photon-number distributions
Authors: Seron Benoit , Novo Leonardo , Arkhipov Alex , Cerf Nicolas J.
Published: September 2024

In order to substantiate claims of quantum computational advantage, it is crucial to develop efficient methods for validating the experimental data. We propose a test of the correct functioning of a boson sampler with single-photon inputs that is based on how photons distribute among partitions of the output modes. Our method is versatile and encompasses previous validation tests based on bunching phenomena, marginal distributions, and even some suppression laws. We show via theoretical arguments and numerical simulations that binned-mode photon number distributions can be used in practical scenarios to efficiently distinguish ideal boson samplers from those affected by realistic imperfections, especially partial distinguishability of the photons.
PALEONTOLOGIA, PALEONTÓLOGOS E FÓSSEIS: QUEM ME CONTOU SOBRE ISSO?
Authors: Boelter Ruben Alexandre , Goldschmidt Andréa Inês
Published: September 2024

A Alfabetização Científica, implica em compreender e ter a capacidade de articular conceitos relacionados às Ciências e entender como aplicá-los no dia a dia, ou seja, em perceber o mundo e tecnologias desenvolvidas. O objetivo deste artigo é investigar as concepções presentes nas respostas de alunos de anos iniciais do Ensino Fundamental acerca da Paleontologia, dos Paleontólogos e dos Fósseis. A pesquisa se caracteriza por ser de natureza qualitativa, em que se analisou três questões em relação à Paleontologia, em duas escolas públicas situadas na Região das Missões, localizadas ao noroeste do estado do Rio Grande do Sul, com 60 alunos de duas turmas do 3º Ano e duas turmas do 4º Ano do Ensino Fundamental. Como resultados verificou-se um grande índice de alunos que desconhecem as palavras e significados de Paleontólogo e Paleontologia tanto nos 3º quanto nos 4º anos. Dos que lembram apontaram que sabem da televisão, da internet, da sala de aula e de casa. Sobre a palavra fóssil, a grande maioria revelou conhecer o termo e também apontam que sabem através da televisão, sala de aula e de casa, mas associaram a uma visão reducionista de ossos e dinossauros. Desta forma, é importante compreender que conhecer a Paleontologia implica ter a capacidade de articular conceitos relacionados às Ciências e entender como aplicá-los no dia a dia e que esta área ainda merece atenção especial nos anos iniciais.
Pengaruh Endorser Arief Muhammad Terhadap Minat Beli Konsumen Pada Produk Cakekinian
Authors: Prismadini Maylia Ajeng
Published: September 2024

The strategy carried out by the company in increasing the sales value of products through advertising elements, one of which is determined by the Endorser. This study aims to determine the influence of endorser Arief Muhammad on consumers' buying interest in contemporary cake products. In the concept of celebrity endorser according to Terence A. Shimp, there are 5 dimensions known as TEARS. And the concept of buying interest used in this study is the AIDA model theory initiated by Kotler & Keller. The research method in this study uses a quantitative approach with a survey method. The data collection technique uses a non-probability sampling technique. The respondents are active followers of the instagram account @cakekinian.official. The results showed that the credibility of the endorser contributed 63.1% of its influence on buying interest which means a strong influence and the remaining 36.9% was influenced by other factors outside the factors studied. This study concluded that there is an influence of endorsers on consumers' buying interest.
Nas encruzilhadas das epistemologias do Sul: um blues em sul maior
Authors:   , Schian Rodolfo Medeiros
Published: September 2024

A tese contribui na investigação da interseção entre imagens, saberes e culturas, na proposta de uma abordagem inclusiva e crítica, de transformação social e reflexiva sobre as questões de poder no colonialismo e eurocentrismo, na diversidade e possibilidades de emancipação. Dentro deste contexto a pesquisa trabalha na elaboração da metodologia da Cartografia Imagética e Ciência Decolonial, explorando a aplicação de seus conceitos na compreensão das diversas realidades e implicações culturais, o que se define no conceito de Terceira Realidade. O objetivo da pesquisa ao explorar e desenvolver a metodologia da cartografia imagética em consonância com a teoria decolonial elabora o conceito de Terceira Realidade, na perspectiva de abordar a diversidade e suas convergências como utopia possível de compreensão e convivência comunitária dentro das diversas realidades existentes em um mesmo espaço, tempo e contexto; confluindo em uma nova maneira de nos comunicarmos com a complexidade das relações socioculturais. Outros objetivos são explorados para a definição da metodologia, explorando a investigação do pensamento decolonial, a luta contra o eurocentrismo, definição do conceito do pesquisador na figura do Agrimensor-Flâneur e apresentação de alternativas de pesquisas futuras para testar e explorar a cartografia imagética junto ao conceito de terceira realidade. A fundamentação teórica tangencia o eurocentrismo com Boaventura, Benjamin, Rancière, Debord e Belting, que são transformadas nos teóricos decoloniais para responderem as perspectivas do Sul, a exemplo de Bispo dos Santos, bell hooks, Paulo Freire e Frantz Fanon. Nesta constelação intelectual que inserimos a fundamentação da pesquisa para formatar as questões dentro das epistemologias do Sul, ciência decolonial, cartografia crítica, consciência das estruturas de opressão do colonialismo e eurocentrismo, e conceitos de igualdade e transformação social a partir da reflexão sobre poder, diversidade e emancipação. Estes pensadores, teorias e conceitos interligados são a base e orientação da pesquisa para realizar um pensamento crítico sobre as possibilidades e alternativas de sociedade inclusiva e efetivas transformações das realidades culturais e sociais. O percurso metodológico inicia com a fenomenologia e a etnologia, no desenvolvimento do trabalho vão se transformando e construindo percursos na confluência de saberes através de leitura atenta e reflexiva principalmente dos autores decoloniais, nas possibilidades de aplicação prática de seus princípios, para se transformarem nas concepções da cartografia imagética e ciência decolonial. Nessa transformação epistemológica que estamos propondo a cartografia imagética e a terceira realidade se mostram mais que uma metodologia e um conceito, elas se configuram em uma forma de pensamento e ação, estimulando o diálogo entre diferentes áreas do conhecimento, integrando a diversidade cultural, a empatia, a ação concreta de resistência e as utopias possíveis e revolucionárias.
The role of women on board and firm value in the Association of Southeast Asian Nations polluting firms
Authors: Claudia Aina , Lindrianasari Lindrianasari
Published: September 2024

This study aims to investigate the impact of the presence of women on board, green accounting practices, and carbon emission disclosure on the firm value of heavily polluting companies in the Association of Southeast Asian Nations (ASEAN), with a focus on exploring the moderating effects of women on board. Employing an exploratory quantitative approach, secondary data including financial reports, sustainability reports, and environmental scores from the Bloomberg database were analyzed for 57 ASEAN companies over the period of 2017–2022. Tobin’s Q was utilized as a measure of firm value (Kurnia et al., 2021). This study develops the previous literature on gender diversity (Simionescu et al., 2021) and environmental issues (Al-Dhaimesh, 2020; Choi et al., 2013). The findings reveal that green accounting practices and carbon emission disclosure do not significantly correlate with the firm value, while the presence of women on board does. Moreover, women on board play a significant moderating role in the relationship between green accounting practices, carbon emission disclosure, and firm value. The study also discusses the implications of environmental performance practices on firm valuation based on these findings.
Implementation of Problem-based Learning to Improve Critical Thinking Ability of Vocational Students in Jakarta
Authors: Jumhur Aam Amaningsih , Avianti Ratu Amilia , Nurfitri Putri Eka , Mahir Imam
Published: September 2024

In the 21st century, education must include the 4C characteristics (critical thinking, communication, collaboration, and creativity) of students. Weaknesses in the learning process and the use of inappropriate models prevent vocational school graduates from mastering these characteristics, which have a significant impact on industrial performance. This research aims to improve students’ critical thinking skills and learning outcomes after implementing problem-based learning. The research methodology used is classroom action research, which is a population study involving all TFLM 3 class students at SMKN 26 as subjects. This classroom action research involves four stages: action planning, action, observation, and reflection. Data was collected through interviews, observation, tests, and documentation. Research data in cycle I did not show an increase in critical thinking skills, with an average of 52.70% (less critical). Therefore, cycle II continued, where there was also no adequate increase in critical thinking skills, with an average of 60.38% (pretty critical). Next, cycle III was carried out, and it reached an average of 75.64% (good critical). Student learning outcomes also increased over three cycles, from 45.71% in the first cycle (low), rising to 65.71% in the second cycle (medium). Statistical analysis using the t-test shows significance. Tcount = 17.598 exceeds ttable = 1.084, which indicates significant changes in critical thinking as well as significant improvements in student learning outcomes using problem-based learning. Based on the research results, it can be concluded that problem-based learning is very effective in improving critical thinking skills and learning outcomes of vocational school students.
Development of Public English Teachers in Chinese Vocational Colleges via the Mechanism of “One Body, Two Wings and Three Parties Collaborations”
Authors: Peng Xia , Peng Chaozhong , Zhang Bincai
Published: September 2024

A good public English teaching faculty is an essential requirement for the development of high-quality vocational education and is urgently needed to achieve the objectives outlined by the “New Curriculum Standards” in Chinese colleges. The current challenges faced by the construction of the public English teaching faculty in the colleges include improper professional development orientation, unreasonable teacher structure ratios, imbalanced teacher ability development, indistinctive faculty characteristics, and inadequate fulfillment of moral cultivation objective. To address these issues, this study based on the questionnaire survey and cases collected mainly from higher vocational colleges in Jiangxi’s province explores repositioning the new professional role of public English teachers under the “New Curriculum Standards” by implementing the working mechanism: “one body (public English teachers), two wings (recruiting & training public English talents), and three parties (government, schools and enterprises) collaboration.” It aims to comprehensively enhance the integrated qualities of “professional knowledge + foreign language skills + cultural literacy” among teachers, thus improving the moral and intellectual nurturing capacity of public English courses in higher vocational education.
Periodikus események közlekedésbiztonságra gyakorolt hatásainak vizsgálata
Authors: Krizsik Nóra , Szigeti Szilárd , Pauer Gábor , Nagy Péter Dávid
Published: September 2024

A kutatás célja a periodikus események közlekedésbiztonságra gyakorolt hatásainak vizsgálata. A hatások értékelése a személysérüléses baleseti adatok alakulásának elemzésével történt. Az elemzések során vizsgálták a tavaszi, az őszi óraátállítás, valamint a karácsonyi-újévi és húsvéti időszakokat.
Postfiguring degrowth: How traditional popular culture challenge growth-oriented common senses
Authors: Muñoz-Sueiro Lucía , Kallis Giorgos
Published: September 2024

Traditional customs and rituals that continue to exist in the rural peripheries of industrialized countries may contain living elements that 'postfigure' alternative ways of living. We propose a new line of inquiry on postfiguration, at the intersection between anthropology and degrowth and inspired by Antonio Gramsci's work on folklore. By 'postfiguration' we refer to real and existing popular practices with a long history that have elements that disrupt hegemonic growthist common senses. They help imagine alternative futures based on remnants of the past that continue to exist today. We follow a Gramscian understanding of traditional popular culture as a conception of the world and of life. Popular culture contains regressive and progressive elements that need to be analytically identified and separated as part of intentional postfiguration. To illustrate how specific traditions can challenge hegemonic common senses and fuel radical political imaginaries, we analyze three practices from rural Spain: "open councils", or bodies of direct democracy that have existed for centuries; "hacenderas", or traditional forms of work sharing; and long-existing, self-managed rural carnivals associated with convivial subversion. We propose analytics of such instances of 'postfiguration' and discuss the politics that can be built around them.
Interpretability Using Reconstruction of Capsule Networks
Authors: Vranay Dominik , Ruzmetov Mykhailo , Sinčák Peter
Published: September 2024

This paper evaluates the effectiveness of different decoder architectures in enhancing the reconstruction quality of Capsule Neural Networks (CapsNets), which impacts model interpretability. We compared linear, convolutional, and residual decoders to assess their performance in improving CapsNet reconstructions. Our experiments revealed that the Conditional Variational Autoencoder Capsule Network (CVAECapOSR) achieved the best reconstruction quality on the CIFAR-10 dataset, while the residual decoder outperformed others on the Brain Tumor MRI dataset. These findings highlight how improved decoder architectures can generate reconstructions of better quality, which can enhance changes by deforming output capsules, thereby making the feature extraction and classification processes within CapsNets more transparent and interpretable. Additionally, we evaluated the computational efficiency and scalability of each decoder, providing insights into their practical deployment in real-world applications such as medical diagnostics and autonomous driving.
AI-Powered Obstacle Detection for Safer Human-Machine Collaboration
Authors: Krupáš Maros , Kot Mykyta , Kajáti Erik , Zolotová Iveta
Published: September 2024

This article deals with ensuring and increasing the safety of mobile robotic systems in human-machine collaboration. The goal of the research was to design and implement an artificial intelligence application that recognizes obstacles, including humans, and increases safety. The resulting mobile Android application uses a MiDaS model to generate a depth map of the environment from the drone’s camera to approximate the distance from all obstacles to avoid the drone’s collision. Besides, this work introduced us to DJI Mobile SDK and neural network optimizations for their use on smartphones.
Multi-Level Machine Learning Model to Improve the Effectiveness of Predicting Customers Churn Banks
Authors: Ngo Van-Binh , Vu Van-Hieu
Published: September 2024

This study presents a novel multi-level Stacking model designed to enhance the accuracy of customer churn prediction in the banking sector, a critical aspect for improving customer retention. Our approach integrates four distinct machine-learning algorithms – K-Nearest Neighbor (KNN), XGBoost, Random Forest (RF), and Support Vector Machine (SVM) – at the first level (Level 0). These algorithms generate initial predictions, which are then combined and fed into higher-level models (Level 1) comprising Logistic Regression, Recurrent Neural Network (RNN), and Deep Neural Network (DNN).

We evaluated the model through three scenarios: Scenario 1 uses Logistic Regression at Level 1, Scenario 2 employs a Deep Convolutional Neural Network (DNN), and Scenario 3 utilizes a Deep Recurrent Neural Network (RNN). Our experiments on multiple datasets demonstrate significant improvements over traditional methods. In particular, Scenario 1 achieved an accuracy of 91.08%, a ROC-AUC of 98%, and an AUC-PR of 98.15%. Comparisons with existing research further underscore the enhanced performance of our proposed model.