bluuebunny/crossref_metadata_2025_split huggingface dataset:
DIÁLOGO FILOSÓFICO AFROREFERENCIADO
Authors: Inocêncio Ferreira Lima Raisa 
Published: October 2024

Neste artigo, fomentamos um diálogo entre dois filósofos africanos de relevância em contextos distintos por uma descolonização do pensamento na prática pedagógica. O primeiro, Marcien Towa, desempenhou um papel crucial nas lutas descoloniais dos anos sessenta, sendo criador de concepções como as de "nova orientação filosófica na África" e “autorevolução”. Este será discutido em conjunto com Oyèrónkẹ́ Oyěwùmí, baseando-se no seu livro A Invenção das Mulheres (2021), com foco especial na figura de Ìyá, cujas análises se concentram na crítica da imposição colonial dos gêneros, incluindo a exclusão e dominação do gênero feminino. Oyěwùmí reafirma que desde os papéis público-sociais até as cosmopercepções de Orixás existem tecnologias sociais que ativamente incorporam as ana-fêmeas no debate e nas decisões comuns. A terceira e última parte resulta dessas influências teóricas africanas na praxis política pedagógica sobre a experiência vivida afrodiaspórica no seminário "Axé: Cura e Defesa da ferida colonial", apresentado na Universidade Gaston Berger em São Luis, Senegal. As partes teóricas e a prática neste seminário têm como objetivo uma abordagem de intervenção pedagógica no espaço público, para que a força vital (Axé) seja considerada um elemento crucial para a tomada de consciência contracolonial. Além disso, ressaltar a influência das filosofias africanas em contextos afrodiaspóricos e afrobrasileiros.
Unraveling the Core Components and Critical Targets of Houttuynia cordata Thunb. in Treating Non-small Cell Lung Cancer through Network Pharmacology and Multi-omics Analysis
Authors: Yang Jinyan , Li Yang , Zhang Yan , Xu Ling , Wang Jiahui , Xing Feng , Song Xinqiang 
Published: October 2024

Objective:
This study aimed to preliminary explore the molecular mechanisms of Houttuynia cordata
Thunb. (H. cordata; Saururaceae) in treating non-small cell lung cancer (NSCLC), with the goal of
screening drug potential targets for clinical drug development.

Methods:
This study employed a multi-omics and multi-source data integration approach to identify potential
therapeutic targets of H. cordata against NSCLC from the TCMSP database, GEO database, BioGPS database,
Metascape database, and others. Meanwhile, target localization was performed, and its possible mechanisms
of action were predicted. Furthermore, dynamics simulations and molecular docking were used for verification.
Multi-omics analysis was used to confirm the selected key genes' efficacy in treating NSCLC.

Results:
A total of 31 potential therapeutic targets, 8 key genes, and 5 core components of H. cordata against
NSCLC were screened out. These potential therapeutic targets played a therapeutic role mainly by regulating
lipid and atherosclerosis, the TNF signaling pathway, the IL-17 signaling pathway, and others. Molecular
docking indicated a stable combination between MMP9 and quercetin. Finally, through multi-omics analysis,
it was found that the expression of some key genes was closely related not only to the progression and prognosis
of NSCLC but also to the level of immune infiltration.

Conclusion:
Through comprehensive network pharmacology and multi-omics analysis, this study predicts
that the core components of H. cordata play a role in treating NSCLC by regulating lipid and atherosclerosis,
as well as the TNF signaling pathway. Among them, the anti-NSCLC activity of isoramanone is reported for
the first time.
ML-based Models as a Strategy to Discover Novel Antiepileptic Drugs Targeting Sodium Receptor Channel
Authors: Andola Priyanka , Doble Mukesh 
Published: October 2024

Background:
Epilepsy remains the most common and chronic disorder demanding longterm
management. The impact of epilepsy disease is a cause of great concern and has resulted in
efforts to develop treatment for epilepsy. It occurs due to an increase in neuronal excitability produced
by changes affecting the voltage-dependent properties of Voltage-gated Sodium Channels
(VGSCs).

Materials and Methods:
Weka, a popular suite for machine learning techniques, was used on a
dataset comprising 1781 chemical compounds, showing inhibition activity for sodium channel protein
IX alpha subunit. After the analysis of the dataset obtained from ChEMBL, molecular fingerprints
were computed for the molecules by the ChemDes server. Different classifiers available in
the Weka software were explored to find out the algorithm that could be more suitable for the dataset
or produce the highest accuracy for the classification of molecules as active or inactive.

Results:
In this work, a comprehensive comparison of different classifiers in the Weka suite for the
prediction of active, inactive, and intermediate classes of molecules showing inhibition against
human NaV1.7 protein was made. The prediction accuracy of these classifiers was assessed based
on performance measures, including accuracy, Root Mean Squared Error (RMSE), Receiver Operating
Characteristic (ROC), precision, Mathews Correlation Coefficient (MCC), recall, and Fmeasure.
The comparison of results for model performance demonstrated that the OneR classifier
performed best over others when validated using percentage split, cross-validation, and supplied
test methods. J48 and Bagging also performed equally well in the prediction of different classes
with an MCC value of 1, ROC area equal to 1, and RMSE close to 0.

Conclusion:
Machine Learning (ML) tools provide a fast, reliable, and cost-effective approach
required to identify or predict inhibitory molecules for the treatment of a disease. This study shows
that the ML methods, particularly OneR, J48, and Bagging have the ability to identify active and
inactive classes of compounds for the human NaV1.7 protein target. Such predictive models may
provide a reliable and time-saving approach that can aid in the design of potential inhibitors for the
treatment of epilepsy disease.
The Mesoionic 1,3,4-thiadiazolium Derivative, MI-D, is a Potential Drug for Treating Glioblastoma by Impairing Mitochondrial Functions Linked to Energy Provision in Glioma Cells
Authors: Corrêa-Ferreira Marília Locatelli , do Rocio Andrade Pires Amanda , Miranda Juan Vitor , de Freitas Montin Eduardo , Barbosa Igor Resendes , Lima Aurea Echevarria Aznar Neves , Rocha Maria Eliane Merlin , Martinez Glaucia Regina , Cadena Sílvia Maria Suter Correia 
Published: October 2024

Background:
Mesoionic compound MI-D possesses important biological activities, such as antiinflammatory
and antitumoral against melanoma and hepatocarcinoma. Glioblastoma is the most aggressive and
common central nervous system tumor in adults. Currently, chemotherapies are not entirely effective, and the
survival of patients diagnosed with glioblastoma is extremely short.

Objective:
In this study, we aimed to evaluate the cytotoxicity of MI-D in noninvasive A172 glioblastoma cells
and establish which changes in functions linked to energy provision are associated with this effect.

Methods:
Cells A172 were cultured under glycolysis and phosphorylation oxidative conditions and evaluated:
viability by the MTT method, oxygen consumption by high-resolution respirometry, levels of pyruvate, lactate,
citrate, and ATP, and glutaminase and citrate synthase activities by spectrophotometric methods.

Results:
Under glycolysis-dependent conditions, MI-D caused significant cytotoxic effects with impaired cell
respiration, reducing the maximal capacity of the electron transport chain. However, A172 cells were more susceptible
to MI-D effects under oxidative phosphorylation-dependent conditions. At the IC25, inhibition of basal
and maximal respiration of A172 cells was observed, without stimulation of the glycolytic pathway or Krebs
cycle, along with inhibition of the activity of glutaminase enzyme, resulting in a 30% ATP deficit. Additionally,
independent of metabolic conditions, MI-D treatment induced cell death in A172 cells by apoptosis machinery/
processes.

Conclusion:
The impairment of mitochondrial respiration by MI-D under the condition sustained by oxidative
phosphorylation may enhance the cytotoxic effect on A172 glioma cells, although the mechanism of cell death
relies on apoptosis.
The Use of 3D Model Printing for Acute Planning in Oral and Maxillofacial Traumatology
Authors: Silva Joana de Ângelis Alves , Lago Carlos Augusto Pereira , Soares Pereira Rebeca Valeska , Furtado da Costa Mário César , Nascimento Martins Ketinlly Yasmyne , de Luna Campos Gustavo Jose , de Souza Andrade Emanuel Savio 
Published: October 2024

Introduction
Due to the complex anatomy of craniomaxillofacial structures, facial reconstruction following high-impact traumas is extremely challenging. Therefore, this study aimed to evaluate the use of biomodels in the surgical planning of complex fractures and the sequelae in the oromaxillofacial region.

Materials and Methods
This is a cross-sectional, exploratory, descriptive, and quantitative documentary study. It was conducted at the “Dom Luiz Gonzaga Fernandes” Emergency and Trauma Hospital, in the hinterland of the state of Paraíba, in Brazil, based on cases recorded between November 2021 and November 2022. The research instrument utilized was a self-developed questionnaire.

Results
No statistically significant correlation was observed between the biomodel acquisition time and the length of hospitalization, with a Spearman's correlation coefficient of r = -0.079. Although the need for adjustment of osteosynthesis material was 50% in cases where acrylonitrile butadiene styrene (ABS) models were used, with p (1) = 0.464, in order to be significantly more faithful, it would require a study with a higher sample size. The average length of surgery, in minutes, was 91.25 ± 28.00. The average cost of the materials used to manufacture the biomodels, in Brazilian reais (R$), was R$122.00 ± R$89.09.

Conclusion
The use of biomodels in the surgical planning of complex fractures and oromaxillofacial sequelae did not increase the length of hospitalization. The material used for the prototype manufacture suggests a potential influence on its faithfulness. The length of surgery was shorter in interventions that utilized biomodels in the planning phase. It was also noted that the average cost of manufacture varies according to the type of material chosen and the quantity required.
Patients’ Perception of using Robotics and Artificial Intelligence in Dentistry: A Cross-sectional Study
Authors: Al-Dabbagh Najla , Alnowailaty Yousef , Abed Hassan , Sharka Rayan , Alhilou Abdelrahman , Almarghlani Ammar 
Published: October 2024

Introduction
Robotics and Artificial Intelligence (R&AI) are now playing a significant role in influencing the future of dentistry, owing to the fast advancements in technology. The use of AI in dentistry has already begun to enhance patient care and streamline operational efficiency. However, there has been limited research exploring how dental patients perceive the adoption of R&AI.

Objective
To assess and evaluate the knowledge, concerns, and perceptions of patients agreeing to undergo treatment in its variable forms and procedures under R&AI in order to gain insight into the public understanding of such advanced technologies.

Methods
This cross-sectional study was conducted at the dental teaching hospital of King Abdul Aziz University in Saudi Arabia from July 2023 to December 2023. The subjects were dental patients from an open network and the public community in different segments, with an alternate group of ages. A digital questionnaire from Google Surveys was used. Data was analyzed using IBM SPSS version 23 (IBM Corp., Armonk, N.Y., USA).

Results
This study evaluated the perceptions of 807 participants about R&AI dental treatment. The majority, 78.3%, n = 632, reported having already encountered the term AI in dentistry; however, they had never encountered any AI-based treatment (91.9%, n = 742) and remained uninterested in seizing the opportunity (52.8%, n = 381). Around one-third of them also perceived strong disagreement with the dental performance of robotics alone (39.2%, n = 316), even if it was offered at a reduced cost compared to normal treatment (30.7%, n = 248).

Conclusion
The study's findings reveal that patients' perceptions of R&AI-assisted dental procedures remain inconsistent. While the participants show a greater willingness to embrace the use of R&AI in dental operations, their overall level of trust in R&AI is only mediocre. Patients believe it is critical for a dentist to have control over the R&AI application and take full responsibility for dental care.
Bio-prospecting the Anti-oxidative and Radioprotective Role of Bioactive Pigment Isolated from Pontibacter indicus
Authors: Gadal Shivasharanappa Chandrappa , C. Rajendra Singh , KK Prakash , Mahadevan Gurumurthy Dummi , Rangaswamy B.E. , Betageri Virupaxappa S 
Published: October 2024

Aim:
To evaluate the anti-oxidative and radioprotective role of Pontibacter indicus
SCG24 pigment during radiation exposure

Background:
Radiation-induced cytotoxicity is quite common during cancer therapy. There is a need
for naturally derived therapeutic molecules that can scavenge free radicals. They may act as substitutes
for synthetic molecules. Hence, there is a need for urgent evaluation of these potent compounds
before therapeutic application.

Objective:
The objective of this study is to examine the anti-oxidative and radioprotective role of P.
indicus SCG24 pigment, specifically to evaluate free radical scavenging X-ray irradiated HDF cells

Method:
A radiotoleraent pigment-producing P. indicus SCG24 was isolated from pharmaceutical
effluent. Chloroform was used as a primary solvent for pigment extraction. GCMS/MS analysed
initial pigment composition. Various In-vitro antioxidant assays were performed using ABTS,
FRAP, and DPPH assay. Flow cytometry was used to determine the rate of scavenging activity of
pigment in HDF cells.

Results:
The GCMS/MS profile of the chloroform extract revealed twenty-two compounds. Furthermore,
based on the DPPH, ABTS, and FRAP assay, the pigment was found to have significant
antioxidant properties. The flow cytometry results indicate that the pigment possesses radioprotectant
activity by neutralizing ROS species in HDF cells when exposed to X-ray radiation.

Conclusion:
These observations on P. indicus SCG24 pigment suggested that the pigment may have
potential therapeutic importance.
Performance Evaluation of mmWave Communication for Real-Time UAV-Base Station Links
Authors: Virk Sandeep SIngh , Chennupati Sumanth Kumar 
Published: October 2024

Introduction:
In the context of modern communication networks, the increasing demand
for high data rates, minimal latency, and improved reliability—especially in scenarios involving
Unmanned Aerial Vehicles (UAVs)—calls for innovative solutions. Millimeter-wave (mmWave)
communication emerges as a fitting choice due to its capacity to offer ample bandwidth and high
data rates.

Methods:
This research paper presents a comprehensive study that compares the performance of
mmWave communication links across four different frequencies (6, 28, 60, and 120 GHz) for
UAV-to-Base Station (BS) communication. The investigation, conducted through simulations, adheres
to atmospheric conditions such as rain and fog, different environments (urban and rural) scenarios.
It evaluates the suitability of mmWave frequencies using critical performance metrics: latency,
received power, Bit Error Rate (BER) and Signal-to-Interference plus Noise Ratio (SINR).
These metrics play a fundamental role in assessing communication link quality.

Results:
Our findings reveal that leveraging higher mmWave frequencies—specifically 60 and 120
GHz—significantly enhances UAV-to-BS communication performance. Compared to lower frequencies,
these higher bands exhibit reduced latency, higher data rates, and improved throughput.
Consequently, mmWave frequencies beyond 60 GHz prove well-suited for UAV communication,
facilitating efficient data exchange with minimal delay.

Conclusion:
Furthermore, the potential for reduced interference and enhanced reliability at these
elevated frequencies makes them particularly advantageous in applications requiring seamless connectivity.
Examples include UAV-assisted emergency response, surveillance, and remote sensing.
These insights hold substantial implications for the design and deployment of UAV communication
systems, highlighting mmWave technology’s transformative potential in the emerging era of aerial
communication.
Antibodies as Promising Molecules to Block Spike Glycoprotein from SARS-CoV2
Authors: Lima Ana B. , Gomes Isadora A. , Brito Daiane M. S. , de Andrade Claudia R. , Mesquita Felipe P. , de Oliveira Lais L. B. , de Moraes Maria E. A. , Montenegro Raquel C. , Souza Pedro F.N. 
Published: October 2024

Abstract:
COVID-19 is caused by a new SARS-CoV-2 virus from the Coronaviridae family, responsible
for developing severe acute respiratory syndrome (SARS-CoV). Its emergence in 2019
presented several challenges to global health. The virus can infect host cells using the ACE2 receptor,
and after infection, several clinical manifestations appear, ranging from mild symptoms to death.
One approach that has shown promising results is convalescent plasma since convalescent plasma
(CP) consists of a concentrate of immunoglobulins in the blood of patients recently infected with the
coronavirus for those currently infected. Therefore, this therapy uses antibodies in the plasma to
neutralize the virus. This literature review aims to evaluate the efficacy of CP therapy in symptomatic
COVID-19 patients by analyzing clinical trials and studies published between 2020 and 2023.
Therefore, the search identified studies in which the majority reported the efficacy of using convalescent
plasma to treat and alleviate the clinical condition of patients diagnosed with COVID-19.
Important factors influence the efficacy of CP therapy, such as the timing of administration and the
severity of the disease. Early administration in mild and moderate cases has shown promise. Furthermore,
molecular docking analysis suggests that antibodies can cause conformational changes in
the SARS-CoV-2 spike protein, raising the hypothesis that using CP may interfere with viral entry
into host cells.
Análisis relacional en docentes para la planificación de las prácticas socioeducativas en educación médica
Authors: Pía Silvestrini María , Cianci Pagano Juan Emilio , Barragán Paola , Marin Gustavo 
Published: October 2024

Introducción: El análisis de redes sociales es una metodología que permite realizar un diagnóstico de relaciones y vínculos entre actores, constituyéndose en una herramienta útil para alcanzar consensos, diseñar estrategias e intervenir en situaciones que involucran las dinámicas de los grupos sociales. La comprensión de las diversas percepciones y relaciones entre los integrantes de la sociedad, facilita la construcción de esfuerzos de vinculación específicos, reuniendo elementos para el diagnóstico situacional en relación con las problemáticas sociales abordadas integralmente en el marco de las prácticas socioeducativas en docencia universitaria.
Objetivo: Este proyecto busca recurrir al análisis de redes sociales para medir la centralidad relativa de los nodos en la red, detectar grupos, y examinar la difusión de información o influencia dentro de la misma en actores vinculados al Eje Salud Pública de la Carrera de Medicina, Universidad Nacional del Centro de Buenos Aires, Argentina (UNICEN).
Método: La recolección de datos se realizó mediante un formulario enviado a integrantes de la red (N = 31). Los datos fueron evaluados utilizando análisis de redes sociales con softwares Ucinet y Netdraw que permitieron el análisis de las métricas y la creación del sociograma.
Resultados: Se logró la identificación de líderes y facilitadores dentro de la red que no necesariamente corresponden a cargo de mayor jerarquía académica.
Conclusión: La ejecución de este proyecto proporciona información valiosa para la planificación estratégica, utilizando herramientas metodológicas clave que retroalimentan el proceso de toma de decisiones, contribuyendo así a mejorar la gestión y, en nuestro caso, las actividades de los estudiantes en el territorio.
“A rollercoaster of drawing and using digital tools!”:
Authors: Cavaliero Tamsin , Gilligan Jennifer , McCabe Ellen 
Published: October 2024

Responding to the Covid pandemic, educators worldwide were forced to reconsider ways of delivering content and engaging students. Graphic Facilitation offers opportunities for educators to rethink ways of delivering text heavy content. This paper charts the journey of developing a Graphic Facilitation Digital Badge for staff in a Higher Education institution. The paper describes the process from the perspective of three educators (two instructional designers and a lecturer) exploring the use of Graphic Facilitation as a tool for teaching and learning across a range of subjects and discipline areas to enhance communication and sustain participation across a diverse cohort of students. The paper focuses on how we applied Graphic Facilitation through planning, teaching, assessing, providing feedback and reflection on learning. Following the module participants were required to complete an evaluation form. Feedback from participants is presented. The findings highlight the value of graphic facilitation in supporting learners to develop graphic skillsets, engage with new technologies, enhance communication, and, develop a sense of community amongst staff at a Higher Education institution through engagement in an online classroom.
LGBTQ+ Supportive and Inclusive Care Practices: Survey Data From the T1D Exchange Quality Improvement Collaborative
Authors: Flores Garcia Jaquelin , Majidi Shideh , Mungmode Ann , Reid Mark W. , Demeterco-Berggen Carla , Rioles Nicole , Ochoa-Maya Margarita , Maahs David M. , McDonough Ryan J. , Ebekozien Osagie , Raymond Jennifer K. ,   T1D Exchange Quality Improvement Collaborative
Published: October 2024

OBJECTIVE
Living with type 1 diabetes is challenging, but more barriers exist when one also identifies as LGBTQ+ (lesbian, gay, bisexual, transgender, queer, or other gender-expansive identities). Acknowledging the importance of identifying this population and providing personalized care, the Health Resources and Services Administration mandated institutions to document sexual orientation and gender identity (SOGI) data. To understand the current state of SOGI documentation in the T1D Exchange Quality Improvement Collaborative, a survey assessing LGBTQ+ supportive and inclusive care practices was given to affiliated sites.

RESEARCH DESIGN AND METHODS
Thirty-three pediatric and 21 adult care centers were surveyed via Qualtrics. The survey included questions about their electronic health record documentation of patient-identified gender, pronouns, sexual orientation, and sex assigned at birth (SAAB). Care centers also reported on the legality of gender-affirming care in their municipalities, as well as their willingness to change SAAB after patients meet requirements. Fisher’s exact tests were used to evaluate response frequencies.

RESULTS
All 33 of the pediatric centers and 81% (17 of 21) of the adult centers responded to the survey. Sixty-four percent of pediatric centers had established strategies to support SOGI documentation, whereas only 50% of adult centers had implemented strategies. Some adult centers could not confirm whether they documented SOGI. Differences were seen between the pediatric and adult endocrinology centers in their documentation of gender identity (P = 0.04) and pronouns (P = 0.02).

CONCLUSION
Although most endocrinology centers documented gender identity and pronouns, fewer documented sexual orientation. Further work is needed to improve SOGI documentation and assess its impact on LGBTQ+ patients with diabetes.