RAGE and its ligands in breast cancer progression and metastasis.

Introduction: Breast cancer is the most common form of cancer diagnosed worldwide and the leading cause of death in women globally, according to Globocan 2020. Hence, investigating novel pathways implicated in cancer progression and metastasis could lead to the development of targeted therapies and new treatment strategies in breast cancer. Recent studies reported an interplay between the receptor for advanced glycation end products (RAGE) and its ligands, S100 protein group, advanced glycation end products (AGEs) and high-mobility group box 1 protein (HMGB1) and breast cancer growth and metastasis.

Testing the significance of pricing factors of oil and gas companies.

For decades, fossil fuels have accounted for 70% to 80% of global primary energy demand. Far from ending this trend, O&G companies continue to be the main fore-runners in providing secure, versatile and widespread energy to the entire world. The relevance of this sector in the economic-financial landscape and the concern for its stability, makes that the high interest of the scientific community to explore the factors that explain the O&G cross-sectional expected returns remains intact.

Capillary drops, capillary pooled, and venous blood samples for determining hemoglobin concentration using HemoCue: A measurement system analysis.

Several external and internal factors can affect the performance and variability of Hemoglobin concentration [Hb] measurements using HemoCue, and documentation on the contribution of different sources of [Hb] variation is limited. We used an experimental repeated measurements design with nine randomly selected participants, three HemoCue devices, and three trained field workers. HemoCue measurements for all samples were repeated three times.

A Critical Review of the Propagation Models Employed in LoRa Systems.

LoRa systems are emerging as a promising technology for wireless sensor networks due to their exceptional range and low power consumption. The successful deployment of LoRa networks relies on accurate propagation models to facilitate effective network planning. Therefore, this review explores the landscape of propagation models supporting LoRa networks.

Empowering Cancer Patients with Self-Care and Pain Management Skills: A Quasi-Experimental Study.

Background: Cancer patients experience distress as a result of their health condition, which, in turn, contributes to the progression of the disease. Moreover, their daily activities, well-being, and health status are significantly impacted by pain and other symptoms. In this context, empowering these patients with self-care and pain management skills can greatly contribute to effective symptom control.

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Objective: To validate hemoglobin (Hb) concentration in venous blood (VB) using the HemoCue 201+ in a subsample of children and women from the Mexican National Health and Nutrition Survey 2022.

Materials And Methods: Prior to field work 50 HemoCue 201+ devices were verified using venous blood. During the field work 57 children (aged 1-11) and 62 women (aged 12-49) donated 3 mL of VB each.

Short Stature Modifies the Waist-to-height Ratio cut-off Points as an Indicator of Cardiovascular Risk in Mexican Adult Women and Men.

Background: Waist-to-height ratio (WHtR) is one of the anthropometric measures associated with cardiovascular risk (CVR). However, WHtR cut-off points may vary depending according to population characteristics, including sex and height.

Objective: To identify optimal WHtR cut-off points to predict CVR factors by sex in Mexican adults according to height.

"Geriatric Proximity" Intervention in COVID-19 Context: Contribution to Reducing Loneliness and Improving Affectivity.

(1) Background: The pandemic context has limited the social and family contacts of institutionalized older adults, and intervention is urgently needed. The aim of this study is to assess the impact of the implementation of a "Geriatric Proximity" intervention on the functioning, satisfaction with social support, affective experience, and feelings of loneliness of institutionalized older adults in the times of the pandemic. (2) Methods: This is a pilot study.

Coffee Consumption during the COVID Pandemic in a Portuguese Sample: An Online Exploratory Study.

Background: Coffee is one of the most consumed beverages worldwide and is part of the Portuguese lifestyles. This study aims to describe coffee consumption during the COVID-19 pandemic, the change in consumption, the relation between work and familiar pressure during the COVID-19 pandemic and coffee consumption, and the reasons for this consumption pattern.

Methods: This is a cross-sectional study conducted by an online questionnaire ( = 463) between March and June 2020.

What is effective classroom dialog? A comparative study of classroom dialog in Chinese expert and novice mathematics teachers' classrooms.

Conducting effective classroom dialog is an important foundation for high-quality classrooms. This study investigates the characteristics of effective classroom dialog from the perspective of Chinese mathematics classrooms. Classroom videotapes from 40 expert and 33 novice teachers were selected from a national project and analyzed through a developed coding framework.

Understanding how facilitators adapt to needs of STEM faculty in online learning communities: a case study.

Background: Faculty Learning Communities (FLCs) and Faculty Online Learning Communities (FOLCs) are ways to support STEM faculty implementing research-based curricula. In these communities, faculty facilitators take on the role of sharing expertise and promoting discussion. However, as members gain more experience, their needs change from addressing logistical to pedagogical issues.

A meta-analysis of the effects of E-books on students' mathematics achievement.

The 21st century allows the use of e-books to substitute printed books in educational context, thereby adapt teaching and learning to the potentialities of our digital era. Several studies examined the effect of mathematics e-books compared to traditional printed books on students' mathematics achievement, however, the results are still inconclusive. Therefore, this research conducted a meta-analysis to determine the effects of mathematics e-books on students' mathematics achievement.

Anxiety and Coping Stress Strategies in Researchers During COVID-19 Pandemic.

Unlabelled: The current COVID-19 pandemic has affected the whole world, leading to changes in one's personal and working life. Researchers have undergone extensive changes in their roles, mainly in the area of health care, with research into the virus now the priority.

Aim: To assess the anxiety, depression, stress, fears, and coping strategies of Portuguese researchers during the COVID-19 pandemic.

Developing a model to evaluate and improve user experience with hand motions in virtual reality environments.

In video games, the evaluation of the user experience (UX) mainly refers to two main groups of aspects, those that refer to the player that is mainly oriented to make the player feel good while playing and those that refer to the video game that is oriented to make the video game easy to understand and play. The aspects considered that are related to the player are engagement, enjoyment, and flow; the aspects related to video game, usability, and dependability. Virtual reality environments today have changed the paradigm in various fields of application, such as health, education, entertainment, among others.

Monitoring social-distance in wide areas during pandemics: a density map and segmentation approach.

With the relaxation of the containment measurements around the globe, monitoring the social distancing in crowded public spaces is of great importance to prevent a new massive wave of COVID-19 infections. Recent works in that matter have limited themselves by assessing social distancing in corridors up to small crowds by detecting each person individually, considering the full body in the image. In this work, we propose a new framework for monitoring the social-distance using end-to-end Deep Learning, to detect crowds violating social-distancing in wide areas, where important occlusions may be present.

Improving convolutional neural network learning based on a hierarchical bezier generative model for stenosis detection in X-ray images.

Background And Objective: Automatic detection of stenosis on X-ray Coronary Angiography (XCA) images may help diagnose early coronary artery disease. Stenosis is manifested by a buildup of plaque in the arteries, decreasing the blood flow to the heart, increasing the risk of a heart attack. Convolutional Neural Networks (CNNs) have been successfully applied to identify pathological, regular, and featured tissues on rich and diverse medical image datasets.

Does private supplementary tutoring matter in Chinese students' learning of mathematics: a longitudinal study.

Most parents consider private supplementary tutoring (PT) as an effective means of improving academic achievement. However, previous studies on this method have produced either partial or inconclusive results on its effectiveness. Thus, in the present study we conducted a comprehensive analysis of the learning of middle school students in China, with specific focus on the final year of middle school.

VSD-MOEA: A Dominance-Based Multiobjective Evolutionary Algorithm with Explicit Variable Space Diversity Management.

Most state-of-the-art Multiobjective Evolutionary Algorithms (moeas) promote the preservation of diversity of objective function space but neglect the diversity of decision variable space. The aim of this article is to show that explicitly managing the amount of diversity maintained in the decision variable space is useful to increase the quality of moeas when taking into account metrics of the objective space. Our novel Variable Space Diversity-based MOEA (vsd-moea) explicitly considers the diversity of both decision variable and objective function space.

Diversity Interventions in the Classroom: From Resistance to Action.

What goes into faculty decisions to adopt a classroom intervention that closes achievement gaps? We present a theoretical model for understanding possible resistance to and support for implementing and sustaining a diversity-enhancing classroom intervention. We propose, examine, and refine a "diversity interventions-resistance to action" model with four key inputs that help explain faculty's decision to implement (or not) an evidence-based intervention: 1) notice that underrepresentation is a problem, 2) interpret underrepresentation as needing immediate action, 3) assume responsibility, and 4) know how to help. Using an embedded mixed-methods design, we worked with a sample of 40 biology faculty from across the United States who participated in in-depth, semistructured, qualitative interviews and surveys.

Effect of a conditional cash transference program on food insecurity in Mexican households: 2012-2016.

Objective: To estimate the effects of the social inclusion programme PROSPERA on food insecurity (FI) in Mexican households during 2012 and 2016.

Design: Quasi-experimental study using cross-sectional data from 2012 to 2016 National Household Income and Expenditure Survey - Socioeconomic Conditions Module (in Spanish, ENIGH-MCS).

Setting: Data were used from a 2012 sample of 56 888 Mexican households (representative of 31 206 819 households) and a 2016 sample of 70 263 Mexican households (representative of 33 445 353 households).

"Where will I belong more?": The role of belonging comparisons between STEM fields in high school girls' STEM interest.

Unlabelled: In trying to understand women's underrepresentation in STEM (Science, Technology, Engineering, Mathematics), most existing research focuses on one STEM-field or collapses across all STEM-fields. However, these fields differ vastly in female representation: women tend to be most strongly underrepresented in technological and computer science university majors and to a lesser extent in mathematics and chemistry, while they are less underrepresented in biological sciences. To understand this variability, we examine how girls in the process of making higher education choices compare different STEM-fields to each other.

Access Needs: Centering Students and Disrupting Ableist Norms in STEM.

This essay describes the concept of access needs as a tool for improving accessibility in science, technology, engineering, and mathematics (STEM) education broadly, from the classroom, to research group meetings, to professional conferences. The normalization of stating access needs and creating access check-ins is a regular practice used in disability justice activist circles, but it has not yet been normalized in STEM education spaces. Just as normalizing the use of pronouns has been an important step for supporting gender justice, we argue that normalizing access talk is an important step for advancing disability justice in STEM fields.

Toward Sustainable Professional Development: An Investigation of Informal Interactions Among Chinese Mathematics Teachers.

It is difficult for teachers to achieve sustainable professional development without support from other teachers. Many researchers have stated that teachers regard informal interactions in daily practice as crucial to learning from one another. In this paper, we present a study in which we investigated informal interactions between Chinese middle school mathematics teachers.

Is store density associated with sugar-sweetened beverages consumption and overweight or obesity in Mexican adolescents?

Background: The consumption of sugar-sweetened beverages (SSBs) is a risk factor for obesity. In Mexico, SSBs are widely available and consumed daily by adolescents.

Objectives: The purpose of this study was to estimate the indirect association between store density (including grocery, convenience, non-alcoholic beverage stores and supermarkets) and overweight or obesity (OW/O) among Mexican adolescents, using SSB consumption as a mediator.

The Taxonomy of Opportunities to Learn (TxOTL): a tool for understanding the learning potential and substance of interactions in faculty (online) learning community meetings.

Background: While many research-based instructional strategies in STEM have been developed, faculty need support in implementing and sustaining use of these strategies. A number of STEM faculty professional development programs aim to provide such pedagogical support, and it is necessary to understand the activity and learning process for faculty in these settings. In this paper, a taxonomy for describing the learning opportunities in faculty (online) learning community meetings is presented.