bluuebunny/crossref_metadata_2025_split huggingface dataset:
CB5712809, A Novel keap1 Inhibitor upregulates SQSTM1/p62 mediated Nrf2 activation to induce cell death in Colon Cancer cells
Authors: Dera Ayed A. , Fayi Majed Al 
Published: May 2024

Abstract

Background and Aim:
Understanding the structural basis of Keap1, a central regulator of the Nrf2 pathway is crucial for cancer regulation. The recent crystallographic elucidation of Keap1's structure provides insights into its functional domains and potential ligand binding sites, paving the way for targeted drug-discovery efforts. This study aims to identify small molecule with high affinity against Keap1 as a modulator of Keap1, SQSTM1/p62, Nrf2 function in colorectal cancer (CRC) cells.
Methods
A high-throughput virtual screening approach was used to screen the ChemBridge small library against the Keap1 protein. Atomistic Molecular Dynamics (MD) simulations were conducted using GROMACS, along with Gibbs binding free energy estimations. HCT116 and Caco-2 cells were used to determine anti proliferation. Flow cytometry was used to evaluate target inhibition in HCT116 and Caco-2 cells.
Results
Identified small molecule CBCB5712809, exhibited a stable and avid interactions with key residues of Keap1. Molecular dynamics simulations demonstrated the stability of the protein-ligand complex over a 200ns trajectory. The MM-PBSA analysis indicated a favorable and stable interaction between CBCB5712809 and Keap1, suggesting its potential as a modulator of Keap1 function. CBCB5712809 suppressed the growth of HCT116 and Caco-2 cells with a GI50 values of 40.07 nM and 102.80 nM respectively. Flow cytometry analysis shows that CBCB5712809 arrested the CRC cells in G2/M phase of cell cycle and downregulated Keap1 levels while upregulating the SQSTM1/p62 and Nrf2 levels.
Conclusion
Results of this study provides a basis for further experimental validation to develop CBCB5712809 as a Keap1 targeted chemotherapeutic against CRC.
Magnetic arch plasma expansion\in a cluster of two ECR plasma sources
Authors: Boyé Célian , Navarro-Cavallé Jaume , Merino Mario 
Published: May 2024

Abstract

The feasibility of a novel 'magnetic arch' topology for controllecd contactless plasma beam acceleration is experimentally demonstrated using a pair of coaxial electron cyclotron resonance sources with opposing magnetic polarities, such that their respective magnetic nozzles connect to form a closed-line configuration. Retarding potential analyser measurements are taken for a single source and the two sources with same and opposing polarities, as well as no applied magnetic field, showing that the magnetic arch yields higher maximum ion current and lower plume divergence angle than other configurations, albeit the mean ion energy is lower, in agreement with existing models. This validation paves the way to clustering magnetic-nozzle-based plasma thrusters for space propulsion.
Secondary Transcriptomic Analysis of Triple Negative Breast Cancer Reveals Reliable Universal and Subtype-Specific Biomarkers
Authors: Pickett Brett , Rapier-Sharman Naomi , Spendlove Mauri , Poulsen Jenna Birchall , Appel Amanda , Wiscovitch-Russo Rosana , Vashee Sanjay , Gonzalez-Juarbe Norberto 
Published: May 2024

Abstract

Breast cancer is diagnosed in 2.3 million women each year, and kills 685,000 (~30% of patients) worldwide. Breast cancer prognosis for many subtypes has improved due to treatments targeting Estrogen Receptor (ER), Progesterone Receptor (PR), and Human Epidermal growth factor Receptor 2 (HER2). In contrast, patients with triple-negative breast cancer (TNBC) tumors, which lack all three commonly-targeted membrane biomarkers, more frequently relapse and have lower survival due to lack of tumor-selective TNBC treatments. We performed a secondary TNBC analysis of 196 samples across 10 publicly available bulk RNA-sequencing studies to better understand the molecular mechanism(s) of disease and predict robust biomarkers that could be used to improve diagnostic capabilities for TNBC. Our analysis identified ~12,500 significant differentially expressed genes (FDR-adjusted p-value < 0.05) including KIF14 and ELMOD3, and two significantly modulated pathways. Additionally, our novel findings include highly-accurate biomarkers from machine learning methods including CIDEC (97.1% accurate alone), CD300LG, ASPM, and RGS1 (98.9% combined accuracy); as well as TNBC subtype-differentiating biomarkers. We then experimentally and computationally validated a subset of these findings. The results from our analyses can be used to better understand the mechanism(s) of disease and contribute to the development of improved diagnostics and/or treatments for TNBC.
Menstrual pain &amp; the economic purse: calculating and interrogating menstrual symptom productivity loss and the Australian economy
Authors: O'Shea Michelle , Varua Maria , Duffy Sarah , Eathorne Allie , Armour Mike 
Published: May 2024

Abstract

Globally rising female labour force participation represents one of the most noteworthy economic developments of the last century. Despite this increase, little is known about the individual and broader economic costs tied to working women’s experiences of menstrual symptoms. To advance feminist inquiry into economic issues affecting women’s working lives and contribute to redressing this knowledge gap, we adopt a human capital approach to calculate and understand the cost of lost productivity associated with menstrual symptoms to the Australian economy. Our results reveal how lost productivity associated with menstruation is estimated at $4,882 Int (AUD $7,176) per person annually. Arising from a menstrual symptom prevalence rate of 90% a substantial economic burden of $9.527 billion Int ($14.005 billion AUD) is reported. Though workplace accommodations enhance women's working lives and diminish productivity losses associated with menstrual symptoms, they are not commonly available in workplaces, an absence we problematise.
The digitalization of emergency department triage: health professionals’ and patients’ perspectives
Authors: Morlotti Chiara , Cattaneo Mattia , Paleari Stefano , Manelli Filippo , Locati Francesco 
Published: May 2024

Abstract

Background: Digitalization in the healthcare sector offers several organizational advantages, ranging from enhanced service quality to cost savings. However, its adoption often progresses slowly and faces challenges, especially in critical settings like emergency departments, requiring prompt, clear, and efficient communication. As such, this study aims to comprehensively assess the factors influencing the preference for digitalized tools over traditional methods from the perspectives of both service providers and users.
Methods: We employ two ad hoc stated preference surveys in which we ask respondents to reveal their preference in simulated triage scenarios. Three main alternatives are proposed: traditional procedures, a fully digitalized solution with no direct patient-professional interaction, and a hybrid option that combines traditional and digital aspects. Scenarios and alternatives vary according to predetermined attributes, selected among the features acknowledged to impact the triage efficiency and efficacy: the possibility to communicate in a known language, the completeness of information retrieved from the patient, the time dedicated to triage activity, and the level of privacy. Responses are then analyzed by means of discrete choice models.
Results: Our findings reveal a preference for the hybrid approach, wherein patients use digital tools to input relevant information, followed by an interview with healthcare professionals. Nevertheless, distinct alternative- and case-specific features can favor the preference toward other kinds of triage. Respondents prefer shorter triage times and the opportunity to interact in a known language, while the level of privacy does not significantly impact their choices. Interestingly, the presence of an algorithm assigning urgency code diminishes the probability that healthcare professionals select the fully digitalized option.
Conclusions: Our results offer valuable insight into the potential application of digital tools in EDs, highlighting the conditions driving their adoption and the key influencing factors. Our findings can support hospital managers and policy makers in developing digital tools that accommodate both users and healthcare professionals, potentially leading to cost savings and improved service quality.
Network Pharmacology-Oriented Identification of Key Proteins and Signaling Pathways of breast cancer
Authors: Shelar Onkar 
Published: May 2024

Abstract

Moringa oleifera is a perennial angiosperm plant widely used in Asia in the treatment of various diseases, including cancer. In the study, we investigated the molecular mechanism of the chemical constituents of moringa against targets in breast cancer using network pharmacology and virtual screening. Network pharmacology is a systematic approach to identifying potential targets and pathway networks associated with disease pathology. The steps in network pharmacology include text mining, in which we retrieve multiple genes and proteins associated with disease from different bioinformatics databases. Then enrichment analysis to identify the top pathways and associated targets with those pathways in the disease pathway and the construction of the network and its analysis using software and web-based tools. The obtained targets were further screened by molecular docking for their binding characteristics. In the study, moringa extract was studied for antimitotic activity against meristematic cells.
Removal of Metasilicate from Aqueous Solutions with Hybrid Polymer-enhanced Ultrafiltration-electrodeionization Membrane Processes
Authors: Sarıcicek Esma Nur , Soysuren Gulsev , Arar Ozgur 
Published: May 2024

Background:
In desalination, addressing fouling challenges, particularly concerning silica,
is pivotal for generating pure water from seawater and brackish sources. Efficient silica removal
is vital for various applications, including power generation and electronics. Electrodeionization
(EDI) has proven highly effective in achieving a high removal rate for silica.

Objective:
Optimize silica removal through a combined membrane approach—water-soluble polymer-
enhanced ultrafiltration and Electrodeionization (EDI)—for efficient water treatment and improved
water quality.

Methods:
The study utilized a 400 mL stirred Amicon cell for Ultrafiltration (UF) in combination
with a water-soluble polymer. Additionally, a microflow EDI cell is employed, filled with Porolite
A600 anion exchange resin and SST60 cation exchange resin, to optimize silica removal.

Results:
The water-soluble polymer-enhanced ultrafiltration achieved a 25% removal of SiO2, with
the remaining silica effectively removed by EDI, resulting in a concentration of 11 μg/L.

Conclusion:
The combined approach of water-soluble polymer-enhanced ultrafiltration and Electrodeionization
(EDI) demonstrated effective silica removal.
Histological Study to Evaluate the Effect of Local Application of Myrtus Communis Oil on Alveolar Bone Healing in Rats
Authors: Ibrahim Salah M. , Al-Hmedat Sattar Jabbar Abdul-Zahra , Alsunboli Mohammed Hamoudi 
Published: May 2024

Background
Reproving dental defects is still a significant problem in dentistry. Bone is a highly vascularized tissue that is reliant on maintaining skeletal structure. The medicinal properties of healthy and preventative herbs were recognized by both the ancient and modern pharmacists and doctors in medicine. The effects of Myrtus communis oil (M) are employed as a healing agent for bone loss with anti-inflammatory and antioxidant properties. The advantage of Myrtus communis oil (M) is that it is a form of osteoconduction in the process of bone healing, decreases pain, and decreases the length of time needed for bone healing. Aim: to identify the effectiveness of Myrtus communis oil's local application in healing bone defects; the author performed a histological analysis.

Materials and Methods
This study involved 12 albino male rats weighing (300-400) grams, aged (6-8) months. The animals were subject to a surgical operation on the alveolar bone. The group of animals was divided into two distinct categories based on the applicable materials. Control group: 6 rats; bone defect was only washed by normal saline, and bone defect was left to heal normally. Myrtus communis group: 6 rats; bone defect treated by local application of 1 μl of Myrtus communis oil (M). The rats were sacrificed 7 and 14 days after surgery (six rats for each period). All bone sections stained with hematoxylin and eosin underwent a light microscope histological inspection, which included counting the number of bone cells (osteoblasts, osteocytes, and osteoclasts) and evaluating the results of histomorphometric analysis.

Results
Histological and histomorphometric findings of the present study show the acceleration of bone defect healing process in the Myrtus communis group as the increase in mean count difference measured of osteoblast, osteocyte, and osteoclast with statistically significant in 7 days duration. The result shows the positive expression of osteoblast, osteocyte, and osteoclast in all groups, with the highest statistical difference in osteocyte mean number in the Myrtus communis group.

Conclusion
Myrtus communis oil (M) has the potential to promote and be an effective therapeutic for the bone injury healing process.
Educational Programme to Implement Skin-to-skin Contact for Preterm Infants in the Intensive Care Units: Qualitative Study Proposal
Authors: Denge Takalani , Bam Nokwanda Edith , Lubbe Welma , Rakhudu Mahlasela Annah 
Published: May 2024

Introduction
Skin-to-skin contact (SSC) has been widely adopted as an efficacious and useful approach to neonatal care. Despite the endorsement of this practice by the World Health Organization (WHO) over a decade ago, healthcare institutions in South Africa, particularly in the North West Province (NWP), have shown limited progress with regard to its implementation. Of particular concern is the fact that South Africa accounts for 60% of the global mortality rate among low birth weight (LBW) preterm infants. Therefore, an educational programme can be beneficial for both parents and nurses in implementing SSC for preterm infants in intensive care units, with the aim of reducing the neonatal mortality rate.

Aim
The aim of this research is to develop an educational programme to implement SSC for preterm infants in intensive care units of the NWP.

Methods
This study will be conducted in three phases. Phase 1: An integrative literature review (ILR) will be conducted by following these five steps: formulation of the review question, search strategy, critical appraisal, data analysis, synthesis and conclusion. Phase 2 represents an empirical study using a qualitative exploratory and descriptive design. Purposive sampling will be used to select two populations. Population one will be parents of preterm infants and population two will be registered nurses and midwives. Semi-structured focus group discussions (FGDs) with a minimum of six participants will be used to collect data in both populations until reaching data saturation. Data will then be analyzed using steps proposed by Creswell and Clark. Phase 3 consists of the development of an educational programme to implement SSC for preterm infants in intensive care units, using Kellogg’s Logic Model (KLM). The following three KLM steps will be used for the development of an educational programme: inputs and activities, identifying outputs, outcomes, and outcomes indicators.

Conclusion
The study furnishes an introduction to the research, the aim and objectives of the research as well as the research methodology that will be adhered to. The results obtained from phases 1 and 2 will be used to form the basis for the development of an education programme in phase 3.
Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning
Authors: Siegel Leeann Nicole , Wiseman Kara P , Budenz Alex , Prutzman Yvonne 
Published: May 2024

Background
Leveraging free smartphone apps can help expand the availability and use of evidence-based smoking cessation interventions. However, there is a need for additional research investigating how the use of different features within such apps impacts their effectiveness.

Objective
We used observational data collected from an experiment of a publicly available smoking cessation app to develop supervised machine learning (SML) algorithms intended to distinguish the app features that promote successful smoking cessation. We then assessed the extent to which patterns of app feature use accounted for variance in cessation that could not be explained by other known predictors of cessation (eg, tobacco use behaviors).

Methods
Data came from an experiment (ClinicalTrials.gov NCT04623736) testing the impacts of incentivizing ecological momentary assessments within the National Cancer Institute’s quitSTART app. Participants’ (N=133) app activity, including every action they took within the app and its corresponding time stamp, was recorded. Demographic and baseline tobacco use characteristics were measured at the start of the experiment, and short-term smoking cessation (7-day point prevalence abstinence) was measured at 4 weeks after baseline. Logistic regression SML modeling was used to estimate participants’ probability of cessation from 28 variables reflecting participants’ use of different app features, assigned experimental conditions, and phone type (iPhone [Apple Inc] or Android [Google]). The SML model was first fit in a training set (n=100) and then its accuracy was assessed in a held-aside test set (n=33). Within the test set, a likelihood ratio test (n=30) assessed whether adding individuals’ SML-predicted probabilities of cessation to a logistic regression model that included demographic and tobacco use (eg, polyuse) variables explained additional variance in 4-week cessation.

Results
The SML model’s sensitivity (0.67) and specificity (0.67) in the held-aside test set indicated that individuals’ patterns of using different app features predicted cessation with reasonable accuracy. The likelihood ratio test showed that the logistic regression, which included the SML model–predicted probabilities, was statistically equivalent to the model that only included the demographic and tobacco use variables (P=.16).

Conclusions
Harnessing user data through SML could help determine the features of smoking cessation apps that are most useful. This methodological approach could be applied in future research focusing on smoking cessation app features to inform the development and improvement of smoking cessation apps.

Trial Registration
ClinicalTrials.gov NCT04623736; https://clinicaltrials.gov/study/NCT04623736
Inteligencia emocional y procrastinación académica en estudiantes universitarios en Perú
Authors: Chavez-Fernandez Samuel , Haro-Rodriguez Yeniffer M. , Machaca-Calcina Lucero G. , Adriano Rengifo Cristian E. 
Published: May 2024

El objetivo de este estudio fue analizar la relación entre la Inteligencia Emocional (IE) y la Procrastinación Académica (PA) en estudiantes universitarios y generar un modelo predictivo. Este estudio tiene un enfoque cuantitativo y de diseño predictivo transversal. Participaron 254 estudiantes, cuyas edades fluctuaron entre los 18 y los 30 años, de distintas escuelas profesionales en Perú. Se administró el Inventario Breve de Inteligencia Emocional para Mayores (EQ-I-M20) y la Escala de Procrastinación Académica. Los hallazgos muestran que el 52 % de los participantes tienen un nivel alto de inteligencia emocional y el 51.2 % un nivel alto de procrastinación académica. La asociación entre la inteligencia emocional y la procrastinación académica fue significativa y negativa. Las dimensiones de la inteligencia emocional predicen significativamente la procrastinación académica, a excepción de la dimensión intrapersonal.
INTERVENÇÃO DIDÁTICA NA EDUCAÇÃO AMBIENTAL A PARTIR DE UMA PROPOSTA SENSORIAL
Authors: Saccomori Fernanda , Röhrs Ana Claudia 
Published: May 2024

O presente trabalho constituiu-se como um estudo descritivo, qualitativo, do tipo relato de experiência. É resultado de uma intervenção didática realizada durante a disciplina de Prática enquanto Componente Curricular (PeCC) com a temática sobre Educação Ambiental, presente no curso de Licenciatura em Ciências Biológicas, no IFFar campus Júlio de Castilhos. Este estudo objetivou analisar as implicações que a disciplina de PeCC-Educação Ambiental promove para a formação inicial do licenciando em Ciências Biológicas e como a intervenção didática realizada a partir desta PeCC na educação básica pode proporcionar uma reflexão sobre a Educação Ambiental. Os acadêmicos de licenciatura foram desafiados a desenvolver essa prática, criando um elo entre o meio ambiente e os órgãos dos sentidos. Realizou-se assim, um espaço para dialogar sobre as diferentes maneiras de contribuirmos para um mundo mais ecológico e sustentável. Com o desenvolvimento e aplicação dessa dinâmica, os licenciandos obtiveram êxito, após muitas reformulações e adaptações na prática realizada. Foi notória a aprendizagem dos discentes e as associações realizadas por eles, sendo perceptível a preocupação para com o meio ambiente. Ademais, essa atividade proporcionou troca de conhecimentos entre os acadêmicos e o público, alunos do PROEJA, contribuindo assim para o aprendizado pessoal e profissional dos futuros docentes, e reflexão de ambos sobre seus atos com relação ao tema abordado.
MARIA MONTESSORI – DA CASA DEI BAMBINI AO MUNDO: VIDA, OBRAS E CONTRIBUIÇÕES PARA A EDUCAÇÃO
Authors: Santos Anderson Oramisio , De Oliveira Guilherme Saramago , Oliveira Camila Rezende , Faria Borges Tatiane Daby de Fatima Faria Borges de Fatima 
Published: May 2024

Este artigo tem como objetivo abordar as principais contribuições da Pedagogia de Maria Montessori a educação. Montessori é identificada por elaborar um novo método, um olhar diferenciado acerca da educação, uma nova forma de educar, uma pedagogia baseada na observação, promovendo a liberdade e autonomia das crianças, sendo eles sujeitos ativos, criativos e conhecedores do mundo. Nesse sentido, foram coletados através de estudos teóricos sobre Maria Montessori com uma abordagem qualitativa - pesquisa bibliográfica, apoiada nos teóricos que debruçam sobre o tema. Foi possível constatar no interior da pesquisa que o Método Montessoriano, foi implementado no Brasil nas primeiras décadas do século XX, e em vários países do mundo e amplas discussões nas universidades e espaços de formação de professores, faz parte da metodologia educacional de diversas escolas, cujo mérito foi de recuperar as inovações do Método Montessoriano, e o processo ensino-aprendizagem da criança em uma perspectiva de cunho social das transformações feitas pela pesquisadora italiana.